LED light output signal real-time monitoring system, method and equipment
By introducing sensitivity monitoring, noise evaluation and working current optimization modules into the LED light output signal monitoring system, the problem of low real-time monitoring accuracy of LED light output signals is solved, and higher monitoring sensitivity and accuracy are achieved.
Patent Information
- Application Number
- CN202510415338.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-03
- Publication Date
- 2025-06-24
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the prior art, the real-time monitoring accuracy of LED light output signals is low, especially under low driving current and voltage conditions, the optical signal generated by LED is weak, resulting in insufficient monitoring accuracy.
By providing a real-time monitoring system for LED light output signals, including a sensitivity monitoring module, a noise evaluation module and an operating current optimization module, it is determined whether the LED light output signal is amplified, filtered and optimized to improve monitoring accuracy.
The sensitivity and accuracy of LED light output signal monitoring are improved, effectively solving the problem of low real-time monitoring accuracy of LED light output signal in the prior art.
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Figure CN120201611A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of LED light output signal monitoring, and in particular to a real-time monitoring system, method and device for LED light output signals. Background Technique
[0002] The technology of light-emitting diodes (LEDs) has developed rapidly. Due to its many advantages such as energy saving, small size, and fast response, it has been widely used in many fields such as lighting, display, and communication. With the continuous expansion and in-depth application of LEDs, the requirements for their performance and quality are also getting higher and higher. For example, in high-end lighting applications, it is necessary to accurately control parameters such as the light output intensity of LEDs to ensure that the lighting effect meets specific requirements; in the field of LED displays, it is necessary to ensure the brightness uniformity, color consistency, and high refresh rate of the display screen to provide clear and realistic image display.
[0003] In the prior art, the light emitted by the LED irradiates onto a photodetector, and according to the principle of the photoelectric effect, a photocurrent proportional to the light intensity is generated. Then, by amplifying, processing, and analyzing the photocurrent, the LED light output signal is obtained to achieve real-time monitoring of the LED light output signal.
[0004] For example, a photoelectric conversion circuit, its driving method, and a detection substrate disclosed in the patent application with the publication number CN110824328B include: a compensation module configured to write a voltage related to the voltage of the low-level power supply terminal, the threshold voltage of the amplification module, and the dark-state leakage current at the output terminal of the photodetector into the input terminal of the control module under the control of the first scan signal terminal; a control module configured to write an effective photocurrent signal obtained by compensating the threshold voltage of the amplification module and the dark-state leakage current at the output terminal of the photodetector to the control terminal of the amplification module for the photocurrent signal at the output terminal of the photodetector under the control of the second scan signal terminal; a reading module configured to write the effective photocurrent signal amplified by the amplification module into the detection signal receiving terminal under the control of the third scan signal terminal.
[0005] For example, the non-contact current transformer secondary circuit open-circuit detection device disclosed in the patent application with the publication number of CN117826020A includes: an electric field detection module, a signal amplification module, an alarm module, and a power supply module. The electric field detection module is a wound coil probe used to induce and generate a weak current signal from the magnetic field of the secondary winding. The signal amplification module is used to amplify the weak current signal detected by the electric field detection module. The amplification circuit of the signal amplification module drives the LED light-emitting chip, so that the light-emitting intensity and light-emitting frequency of the LED chip can change with the change of the magnetic field of the secondary winding, forming a detection optical signal that can be read by the alarm module. The detection optical signal is output from the optical output surface of the signal amplification module to the alarm module. When the alarm module determines that the detection optical signal output by the signal amplification module is abnormal, the alarm module gives an alarm.
[0006] However, in the process of implementing the technical solution of the present invention in the embodiments of the present application, it is found that the above technology has at least the following technical problems: In the prior art, since the luminous efficiency of the LED chip is not 100%, part of the input energy will be lost in the form of heat, etc., resulting in a limited number of photons emitted by it, thus generating a relatively weak optical signal. Moreover, in practical applications, in order to save energy or meet specific lighting requirements, a lower drive current and voltage are often used, which will also cause the LED to generate a weak optical signal, and there is a problem of low real-time monitoring accuracy of the LED optical output signal. Summary of the Invention
[0007] The embodiments of the present application provide a real-time monitoring system, method and device for LED optical output signals, which solve the problem of low real-time monitoring accuracy of LED optical output signals in the prior art and realize the improvement of the real-time monitoring accuracy of LED optical output signals.
[0008] The embodiments of the present application provide a real-time monitoring system for LED optical output signals, including: a sensitivity monitoring module, a noise evaluation module, and a working current optimization module; wherein, the sensitivity monitoring module is used to monitor the sensitivity of the LED optical output signal, and judge whether to amplify the LED optical output signal based on the result of the sensitive monitoring of the optical signal; the noise evaluation module is used to, if the LED optical output signal is amplified, evaluate the noise of the amplified LED optical output signal and judge whether to perform filtering processing on the LED optical output signal; the working current optimization module is used to, if filtering processing is performed, judge whether to optimize the working current based on the LED working current.
[0009] Further, the specific method for monitoring the sensitivity of the LED light output signal is as follows: a sensitivity comparison coefficient is obtained by comparing the absolute sensitivity within a preset time period with the preset absolute sensitivity obtained from a preset database; a responsivity comparison coefficient is obtained by comparing the optical power - electrical signal responsivity within a preset time period with the preset optical power - electrical signal responsivity obtained from a preset database; a dark current comparison coefficient is obtained by comparing the dark current within a preset time period with the preset dark current obtained from a preset database; a sensitivity weight is introduced to correct the sensitivity comparison coefficient, the responsivity comparison coefficient, the dark current comparison coefficient, and the quantum efficiency, and the corrected results of the sensitivity comparison coefficient, the responsivity comparison coefficient, and the quantum efficiency are coupled to obtain a first sensitivity coupling coefficient; the result of correcting the first sensitivity coupling coefficient and the dark current comparison coefficient is subjected to signal - noise deviation processing to obtain the optical signal sensitivity monitoring result, and the signal - noise deviation processing is used to quantify the deviation between the result of correcting the first sensitivity coupling coefficient and the dark current comparison coefficient.
[0010] Further, the specific method for noise evaluation of the amplified LED light output signal is as follows: a signal - to - noise ratio comparison coefficient is obtained by comparing the signal - to - noise ratio within a preset time period with the preset signal - to - noise ratio obtained from a preset database; a dark current comparison coefficient is obtained by comparing the dark current within a preset time period with the preset dark current obtained from a preset database; after introducing a first noise weight and a fourth noise weight to correct the signal - to - noise ratio comparison coefficient and the linearity, an inverse proportional operation is performed after coupling to obtain a first noise evaluation coefficient; after introducing a second noise weight and a third noise weight to correct the equivalent noise photon number and the dark current comparison coefficient within a preset time period, a coupling process is performed to obtain a second noise evaluation coefficient; the first noise evaluation coefficient and the second noise evaluation coefficient are coupled to obtain a noise interference evaluation result.
[0011] Further, the specific process of determining whether to amplify the LED light output signal based on the sensitive monitoring result of the optical signal is as follows: A1. If the sensitive monitoring result of the optical signal is less than the preset optical signal sensitive monitoring threshold obtained from the preset database, the LED light output signal is first amplified by a low-noise preamplifier to obtain the first LED light output signal; otherwise, the noise of the LED light output signal is evaluated. The first amplification is obtained by mapping the sensitive monitoring result of the optical signal and the incident optical power stored in the database to obtain the gain of the low-noise preamplifier; A2. The sensitivity of the first LED light output signal is monitored to obtain the first sensitive monitoring result of the optical signal. If the first sensitive monitoring result of the optical signal is less than the preset optical signal sensitive monitoring threshold obtained from the preset database, the first LED light output signal is secondarily amplified by a transimpedance amplifier to obtain the second LED light output signal; otherwise, it is determined whether to optimize the working current based on the working current corresponding to the first LED light output signal. The second amplification is obtained by mapping the first sensitive monitoring result of the optical signal, the cut-off frequency, and the gain-bandwidth product stored in the database to obtain the feedback resistance; A3. The sensitivity of the second LED light output signal is monitored to obtain the second sensitive monitoring result of the optical signal. If the second sensitive monitoring result of the optical signal is less than the preset optical signal sensitive monitoring threshold obtained from the preset database, the second LED light output signal is thirdly amplified by gradually increasing the intermediate gain stage to obtain the third LED light output signal; otherwise, it is determined whether to optimize the working current based on the working current corresponding to the second LED light output signal; A4. The sensitivity of the third LED light output signal is monitored to obtain the third sensitive monitoring result of the optical signal. If the third sensitive monitoring result of the optical signal is less than the preset optical signal sensitive monitoring threshold obtained from the preset database, it is prompted that the light output signal of the preset personnel is incorrect; otherwise, it is determined whether to optimize the working current based on the working current corresponding to the third LED light output signal.
[0012] Further, the specific method of determining whether to perform filtering processing on the LED light output signal is as follows: If the noise interference evaluation result is not less than the preset noise evaluation threshold obtained from the preset database, filtering processing is performed on the LED light output signal; if the noise interference evaluation result is less than the preset noise evaluation threshold obtained from the preset database, it is determined whether to optimize the working current based on the LED working current; the filtering processing includes band-pass filtering and sampling frequency adjustment; the sampling frequency adjustment means adjusting the sampling frequency to the adjusted sampling frequency, and the adjusted sampling frequency is obtained by mapping the noise interference evaluation result, the maximum signal frequency, the bandwidth of the photodetector, the number of bits of the analog-to-digital converter, and the photoelectric sensitivity detection result stored in the database.
[0013] Further, after determining whether to perform filtering processing on the LED light output signal, it further includes determining whether to optimize the filtering parameters based on the insertion loss of the filtered LED light output signal. The specific method is as follows: The insertion loss is obtained by comparing the intensity of the filtered LED light output signal with the intensity of the LED light input signal; if the insertion loss is less than the preset insertion loss obtained from the preset database, the filtering parameters are not optimized; if the insertion loss is not less than the preset insertion loss obtained from the preset database, the filtering parameters are optimized; the filtering parameter optimization includes bandwidth optimization and cut-off frequency optimization; the bandwidth optimization means adjusting the bandwidth to the optimized bandwidth, and the optimized bandwidth is obtained by mapping the insertion loss, noise interference evaluation result, maximum signal frequency, minimum signal frequency, and current bandwidth stored in the database; the cut-off frequency optimization means adjusting the cut-off frequency to the optimized cut-off frequency, and the optimized cut-off frequency is obtained by mapping the insertion loss, noise interference evaluation result, maximum signal frequency, minimum signal frequency, and current cut-off frequency stored in the database.
[0014] Further, after the first LED light output signal is secondarily amplified by a transimpedance amplifier to obtain a second LED light output signal, it further includes performing noise evaluation on the second LED light output signal to determine whether to perform filtering processing on the second LED light output signal: if filtering processing is performed on the second LED light output signal, the sensitivity of the filtered second LED light output signal is monitored, otherwise the sensitivity of the second LED light output signal is monitored; after the second LED light output signal is tertiary amplified by gradually increasing the intermediate gain stage to obtain a third LED light output signal, it further includes performing noise evaluation on the third LED light output signal to determine whether to perform filtering processing on the third LED light output signal; if filtering processing is performed on the third LED light output signal, the sensitivity of the filtered third LED light output signal is monitored, otherwise the sensitivity of the third LED light output signal is monitored.
[0015] Further, the specific process of determining whether to optimize the working current based on the LED working current is as follows: B1, if the LED working current is within the preset working current range, the working current is not optimized; otherwise, B2 is executed. B2, if the LED working current is less than the preset minimum working current obtained from the preset database, the pulse signal width is adjusted; otherwise, a zener diode is used to share the voltage. The use of the zener diode to share the voltage means that the voltage is shared through the regulated voltage value of the zener diode, and the regulated voltage value of the zener diode is obtained by mapping the working current standard deviation, the constant current diode power consumption, the working current of the circuit, and the working current of the constant current diode. The adjustment of the pulse signal width means that the pulse signal width is adjusted to the adjusted pulse signal width, and the adjusted pulse signal width is obtained by mapping the photoelectric sensitivity detection result, the working current of the circuit, and the working current of the constant current diode.
[0016] The embodiment of the present application provides a method for transforming an intelligent mobile terminal, including the following steps: S1, monitoring the sensitivity of the LED light output signal, and determining whether to amplify the LED light output signal based on the optical signal sensitivity monitoring result; S2, if the LED light output signal is amplified, evaluating the noise of the amplified LED light output signal, and determining whether to perform filtering processing on the LED light output signal; S3, if filtering processing is performed, determining whether to optimize the working current based on the LED working current.
[0017] The embodiment of the present application provides a device applied to the above-mentioned real-time monitoring system for LED light output signals, including: a data acquisition device, a storage device, and a processing device; wherein, the data acquisition device is used to collect the LED light output signal, the sensitivity monitoring data of the photodetector, the noise evaluation data, the LED working current, and the insertion loss; the storage device is used to store the LED light output signal, the sensitivity monitoring data of the photodetector, the noise evaluation data of the photodetector, the LED working current, and the insertion loss; the processing device is used to monitor the sensitivity of the LED light output signal, evaluate the noise of the LED light output signal, amplify the LED light output signal, perform filtering processing on the LED light output signal, filtering processing, filtering parameter optimization, and working current optimization.
[0018] One or more technical solutions provided in the embodiment of the present application have at least the following technical effects or advantages: 1. Determine whether to amplify the LED light output signal based on the sensitive monitoring result of the optical signal obtained from the LED light output signal. Then, if the LED light output signal is amplified, perform a noise assessment on the amplified LED light output signal, and determine whether to perform a filtering process on the LED light output signal. Finally, if a filtering process is performed, determine whether to optimize the working current based on the LED working current, thereby improving the sensitivity of the LED light output signal monitoring, and further improving the monitoring accuracy of the LED light output signal, effectively solving the problem of low real-time monitoring accuracy of the LED light output signal in the prior art.
[0019] 2. Obtain a sensitivity comparison coefficient from the absolute sensitivity and the preset absolute sensitivity. Then, obtain a responsivity comparison coefficient from the optical power - electrical signal responsivity and the preset optical power - electrical signal responsivity. Next, obtain a dark current comparison coefficient from the dark current and the preset dark current. Finally, obtain the sensitive monitoring result of the optical signal based on the sensitivity comparison coefficient, the responsivity comparison coefficient, the dark current comparison coefficient, and the quantum efficiency, thereby quantitatively evaluating the sensitivity of the optical output signal monitoring in the LED light output signal monitoring system, and further realizing the stability of the LED light output signal monitoring.
[0020] 3. Obtain a signal - to - noise ratio comparison coefficient from the signal - to - noise ratio and the preset signal - to - noise ratio. Then, obtain a dark current comparison coefficient from the dark current and the preset dark current. Next, obtain a first noise assessment coefficient from the signal - to - noise ratio comparison coefficient and the dark current comparison coefficient. Then, obtain a second noise assessment coefficient from the equivalent noise photon number and the linearity. Finally, obtain the noise interference assessment result from the first noise assessment coefficient and the second noise assessment coefficient, thereby quantitatively evaluating the degree of noise influence on the LED light output signal, and further improving the accuracy of the LED light output signal monitoring. BRIEF DESCRIPTION OF THE DRAWINGS
[0021] Figure 1 It is a schematic structural diagram of a real - time monitoring system for an LED light output signal provided by an embodiment of the present application; Figure 2 It is a flowchart of a real - time monitoring method for an LED light output signal provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0022] By providing a real - time monitoring system, method, and device for an LED light output signal in an embodiment of the present application, the problem of low real - time monitoring accuracy of the LED light output signal in the prior art is solved. Determine whether to amplify the LED light output signal based on the sensitive monitoring result of the optical signal obtained from the LED light output signal, then perform a noise assessment on the amplified LED light output signal, determine whether to perform a filtering process on the LED light output signal, and finally determine whether to optimize the working current based on the LED working current, realizing the improvement of the monitoring accuracy of the LED light output signal.
[0023] The technical solution in the embodiment of the present application aims to solve the problem of low real-time monitoring accuracy of the LED light output signal, and the general idea is as follows: Based on the sensitive monitoring result of the optical signal obtained from the LED light output signal, it is judged whether to amplify the LED light output signal. Then, the noise evaluation is carried out on the amplified LED light output signal to judge whether to perform filtering processing on the LED light output signal. Finally, based on the LED working current, it is judged whether to optimize the working current, achieving the effect of improving the monitoring accuracy of the LED light output signal.
[0024] To better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific implementation manners.
[0025] As Figure 1 shown, it is a schematic structural diagram of a real-time monitoring system for LED light output signals provided by an embodiment of the present application. The real-time monitoring system for LED light output signals provided by an embodiment of the present application includes: a sensitivity monitoring module, a noise evaluation module, and a working current optimization module. Among them, the sensitivity monitoring module is used to monitor the sensitivity of the LED light output signal, and judge whether to amplify the LED light output signal based on the sensitive monitoring result of the optical signal; the noise evaluation module is used to, if the LED light output signal is amplified, perform noise evaluation on the amplified LED light output signal to judge whether to perform filtering processing on the LED light output signal; the working current optimization module is used to, if filtering processing is performed, judge whether to optimize the working current based on the LED working current.
[0026] In this embodiment, since the luminous efficiency of the LED chip is not 100%, part of the input energy will be lost in the form of heat, etc., resulting in a limited number of photons emitted by it, and thus the generated light output signal is weaker. Moreover, in practical applications, in order to save energy or meet specific lighting requirements, the lower the driving current and voltage often used will also cause the light output signal generated by the LED to be lower.
[0027] The present application improves the working stability of the LED light source, reduces noise interference, and realizes the improvement of the monitoring accuracy of the LED light output signal through multi-level signal detection and optimization processing; judges whether amplification is needed through the sensitivity monitoring module to improve the quality of the light output signal and avoid performance degradation caused by too weak signals; through the noise evaluation module, performs filtering processing on the LED light output signal to ensure that the LED light output signal is not affected by noise during the amplification process, thereby improving the signal quality; optimizes the working current through the working current optimization module, enables the LED to work at the best voltage, and improves the stability of the LED light output signal.
[0028] Further, the specific method for monitoring the sensitivity of the LED light output signal is as follows: Compare the absolute sensitivity within a preset time period with the preset absolute sensitivity obtained from a preset database to obtain a sensitivity comparison coefficient; Compare the optical power-electrical signal responsivity within a preset time period with the preset optical power-electrical signal responsivity obtained from a preset database to obtain a responsivity comparison coefficient; Compare the dark current within a preset time period with the preset dark current obtained from a preset database to obtain a dark current comparison coefficient; Introduce a sensitivity weight to correct the sensitivity comparison coefficient, responsivity comparison coefficient, dark current comparison coefficient, and quantum efficiency, and perform a coupling process on the corrected results of the sensitivity comparison coefficient, responsivity comparison coefficient, and quantum efficiency to obtain a first sensitivity coupling coefficient; Perform a signal-noise deviation process on the corrected result of the first sensitivity coupling coefficient and the dark current comparison coefficient to obtain the optical signal sensitivity monitoring result. The signal-noise deviation process is used to quantify the deviation between the corrected results of the first sensitivity coupling coefficient and the dark current comparison coefficient.
[0029] Among them, the specific limiting expression of the optical signal sensitivity monitoring result is: ; In the formula, LM represents the optical signal sensitivity monitoring result of the photodetector, JLM represents the absolute sensitivity of the photodetector, LZX represents the quantum efficiency of the photodetector, GXY represents the optical power-electrical signal responsivity of the photodetector, ANL represents the dark current of the photodetector, represents the first sensitivity weight, represents the second sensitivity weight, represents the third sensitivity weight, represents the fourth sensitivity weight, represents the preset absolute sensitivity, represents the preset optical power-electrical signal responsivity, represents the preset dark current.
[0030] In this embodiment, all the following comparison processes are used to quantify the deviation between the acquired data and the preset value, that is, the ratio between the acquired data and the preset value; the correction process represents multiplying the weight by the acquired data; the preset absolute sensitivity is set according to industry standards; the preset optical power - electrical signal responsivity is set according to industry standards; the preset dark current is set based on application requirements. For example, for simple lighting control, the standard value of the dark current can be set to 200 nA; the units of the absolute sensitivity and the optical power - electrical signal responsivity are amperes per watt; the unit of the dark current is amperes; the output electrical signal (such as current) under a preset optical power within a preset time period is measured by a photodetector, and the average value is obtained by performing a ratio operation on the output electrical signals at all preset time points within the preset time period and the preset optical power; the optical power - electrical signal responsivity is obtained by performing a ratio operation on the change in the output electrical signal and the change in the optical power by gradually increasing the optical power (such as in steps of 0.5 mW each time) based on the preset optical power within the preset time period and recording the corresponding output electrical signals; the photodetector is placed in a completely dark environment, and the average value of the output current value within the preset time period is measured by an ammeter, and this current value is the dark current; the quantum efficiency is obtained by performing a ratio operation on the photocurrent of the photodetector under monochromatic light irradiation and the number of photons of the incident light within the preset time period.
[0031] In this algorithm, the results of the sensitive monitoring of the optical signal are obtained by processing multiple independent variables (absolute sensitivity rate, optical power - electrical signal responsivity, dark current, and quantum efficiency), and there are mutual influence relationships among these independent variables; the higher the absolute sensitivity, the more sensitive the photodetector is to changes in optical power, resulting in a higher optical power - electrical signal responsivity; the larger the quantum efficiency, the more photons are converted into electron - hole pairs, thus increasing the absolute sensitivity and further leading to a higher optical power - electrical signal responsivity; the larger the dark current, the higher the noise level of the photodetector, which may lead to lower absolute sensitivity rate, optical power - electrical signal responsivity, and quantum efficiency.
[0032] The sensitivity weights are obtained from a preset database. The first sensitivity weight represents the influence degree of the absolute sensitivity on the sensitive monitoring result of the optical signal. The second sensitivity weight represents the influence degree of the quantum efficiency on the sensitive monitoring result of the optical signal. The third sensitivity weight represents the influence degree of the optical power - electrical signal responsivity on the sensitive monitoring result of the optical signal. The fourth sensitivity weight represents the influence degree of the dark current on the sensitive monitoring result of the optical signal. The sum of the four is 1. For example, the absolute sensitivity forms a mapping set with the preset first sensitivity weight, and the real - time absolute sensitivity is input into the mapping set to obtain the corresponding first sensitivity weight. The quantum efficiency forms a mapping set with the preset second sensitivity weight, and the real - time quantum efficiency is input into the mapping set to obtain the corresponding second sensitivity weight. The optical power - electrical signal responsivity forms a mapping set with the preset third sensitivity weight, and the real - time optical power - electrical signal responsivity is input into the mapping set to obtain the corresponding third sensitivity weight. The dark current forms a mapping set with the preset fourth sensitivity weight, and the real - time dark current is input into the mapping set to obtain the corresponding fourth sensitivity weight. The mapping relationships therein can be one - to - one or many - to - one relationships.
[0033] Through the above steps, the sensitivity of the optical output signal monitoring in the LED optical output signal monitoring system is quantitatively evaluated, so as to take measures in time for adjustment, improve the sensitivity of the optical output signal monitoring, and then realize the improvement of the stability of the LED optical output signal monitoring.
[0034] Furthermore, the specific method for noise evaluation of the amplified LED optical output signal is as follows: The signal - to - noise ratio comparison coefficient is obtained by comparing the signal - to - noise ratio within a preset time period with the preset signal - to - noise ratio obtained from the preset database. The dark - current comparison coefficient is obtained by comparing the dark current within a preset time period with the preset dark current obtained from the preset database. After introducing the first noise weight and the fourth noise weight to correct the signal - to - noise ratio comparison coefficient and linearity, inverse proportional operation is performed after coupling processing to obtain the first noise evaluation coefficient. After introducing the second noise weight and the third noise weight to correct the equivalent noise photon number and the dark - current comparison coefficient within a preset time period, coupling processing is performed to obtain the second noise evaluation coefficient. The first noise evaluation coefficient and the second noise evaluation coefficient are coupled to obtain the noise interference evaluation result.
[0035] Among them, the specific limiting expression of the noise interference evaluation result is: ; In the formula, ZS represents the noise interference evaluation result of the photodetector, SNR represents the signal - to - noise ratio of the photodetector, ADL represents the dark current of the photodetector, ZGZ represents the equivalent noise photon number of the photodetector, XXD represents the linearity of the photodetector, represents the first noise weight, represents the second noise weight, Represents the third noise weight, Represents the fourth noise weight, Represents the preset signal-to-noise ratio, Represents the preset dark current.
[0036] In this embodiment, the signal-to-noise ratio is obtained by performing a ratio operation on the signal power and the noise power within a preset time period. The output signal of the photodetector within a preset time period (such as one second) is collected, and then the signal is converted to the frequency domain through fast Fourier transform to analyze the frequency distribution and power spectral density of the signal. The signal power is obtained by integrating the power within the signal bandwidth, and the noise power is determined by measuring the power of the background noise outside the signal bandwidth (usually the high-frequency band); the preset signal-to-noise ratio is set according to industry standards. For example, for general lighting, it can be set to 10 dB; the equivalent noise photon number within a preset time period is obtained through single-photon counting technology; by inputting a series of signals with known intensities to the photodetector, measuring its output signal, and then plotting the input-output curve to determine the linearity, the linearity can be measured by the linear correlation coefficient, that is, by calculating the degree of linear fitting between the input signal and the output signal for evaluation; the closer the linear correlation coefficient is to 1, the better the linearity of the photodetector.
[0037] In this algorithm, the noise interference evaluation result is obtained by processing multiple independent variables (signal-to-noise ratio, dark current, equivalent noise photon number, and linearity), and there are mutual influence relationships among these independent variables; the larger the dark current, the more likely it is to mask the electrical signal generated by the weaker optical output signal, which may lead to a lower signal-to-noise ratio and a larger equivalent noise photon number; the larger the dark current in the photodetector, the more likely it is to cause the output signal of the photodetector to enter the non-linear region and reduce the linearity; the smaller the equivalent noise photon number, it means that the signal can be detected more accurately under low-light conditions, which may lead to a higher signal-to-noise ratio, thereby reducing the noise interference evaluation result; if the linearity of the photodetector is better, the signal can be accurately amplified or converted, reducing the additional noise caused by non-linear distortion, thereby increasing the signal-to-noise ratio; the better the linearity can reduce the additional noise photons caused by non-linear distortion, thereby indirectly affecting the equivalent noise photon number.
[0038] The noise weights are obtained from a preset database. The first noise weight represents the influence degree of the signal-to-noise ratio on the noise interference evaluation result, the second noise weight represents the influence degree of the dark current on the noise interference evaluation result, the third noise weight represents the influence degree of the equivalent noise photon number on the noise interference evaluation result, and the fourth noise weight represents the influence degree of the linearity on the noise interference evaluation result; the sum of the four is 1. For example, the signal-to-noise ratio and the preset first noise weight form a mapping set, and the real-time signal-to-noise ratio is input into the mapping set to obtain the corresponding first noise weight; the dark current and the preset second noise weight form a mapping set, and the real-time dark current is input into the mapping set to obtain the corresponding second noise weight; the equivalent noise photon number and the preset third noise weight form a mapping set, and the real-time equivalent noise photon number is input into the mapping set to obtain the corresponding third noise weight; the linearity and the preset fourth noise weight form a mapping set, and the real-time linearity is input into the mapping set to obtain the corresponding fourth noise weight; the mapping relationship therein can be one-to-one or many-to-one.
[0039] Through the above steps, the influence degree of the noise on the LED light output signal is quantitatively evaluated, thereby improving the accuracy of the LED light output signal monitoring.
[0040] Further, the specific process of judging whether to amplify the LED light output signal based on the sensitive monitoring result of the optical signal is as follows: A1. Judge whether the sensitive monitoring result of the optical signal is less than the preset optical signal sensitive monitoring threshold obtained from the preset database. If the sensitive monitoring result of the optical signal is less than the preset optical signal sensitive monitoring threshold obtained from the preset database, the LED light output signal is first amplified by a low-noise preamplifier to obtain a first LED light output signal. Otherwise, the noise of the LED light output signal is evaluated. The first amplification is obtained by mapping the sensitive monitoring result of the optical signal and the incident optical power stored in the database to obtain the gain of the low-noise preamplifier; A2. Monitor the sensitivity of the first LED light output signal to obtain a first sensitive monitoring result of the optical signal. Judge whether the first sensitive monitoring result of the optical signal is less than the preset optical signal sensitive monitoring threshold obtained from the preset database. If the first sensitive monitoring result of the optical signal is less than the preset optical signal sensitive monitoring threshold obtained from the preset database, the first LED light output signal is second amplified by a transimpedance amplifier to obtain a second LED light output signal. Otherwise, it is judged whether to optimize the working current based on the working current corresponding to the first LED light output signal. The second amplification is obtained by mapping the first sensitive monitoring result of the optical signal, the cut-off frequency, and the gain-bandwidth product stored in the database to obtain the feedback resistance; A3. Monitor the sensitivity of the second LED light output signal to obtain a second sensitive monitoring result of the optical signal. Judge whether the second sensitive monitoring result of the optical signal is less than the preset optical signal sensitive monitoring threshold obtained from the preset database. If the second sensitive monitoring result of the optical signal is less than the preset optical signal sensitive monitoring threshold obtained from the preset database, the second LED light output signal is third amplified by gradually increasing the intermediate gain stage to obtain a third LED light output signal. Otherwise, it is judged whether to optimize the working current based on the working current corresponding to the second LED light output signal; A4. Monitor the sensitivity of the third LED light output signal to obtain a third sensitive monitoring result of the optical signal. Judge whether the third sensitive monitoring result of the optical signal is less than the preset optical signal sensitive monitoring threshold obtained from the preset database. If the third sensitive monitoring result of the optical signal is less than the preset optical signal sensitive monitoring threshold obtained from the preset database, prompt the preset personnel that the light output signal is incorrect. Otherwise, it is judged whether to optimize the working current based on the working current corresponding to the third LED light output signal.
[0041] In this embodiment, the preset optical signal sensitivity monitoring threshold is represented by the average value of the qualified optical signal sensitivity monitoring results within the historical time period; the mapping set between the optical signal sensitivity monitoring results, incident optical power stored in the database and the gain of the preset low-noise preamplifier, the real-time optical signal sensitivity monitoring results and incident optical power are input into the mapping set to obtain the corresponding gain of the low-noise preamplifier; the mapping set between the first optical signal sensitivity monitoring result, cut-off frequency and gain-bandwidth product stored in the database and the feedback resistance of the preset transimpedance amplifier, the real-time first optical signal sensitivity monitoring result, cut-off frequency and gain-bandwidth product are input into the mapping set to obtain the corresponding feedback resistance of the transimpedance amplifier; the low-noise preamplifier represents a device for amplifying weak signals, which can minimize the introduction of noise while amplifying the signal and improve the signal quality; the transimpedance amplifier represents a circuit that converts a current signal into a voltage signal and amplifies it. By selecting an appropriate feedback resistance, amplification and filtering of signals with different frequencies can be achieved; the gain-bandwidth product represents the product of the gain and bandwidth of the amplifier.
[0042] Through the above steps, the adaptive adjustment of the optical output signal is realized, thereby effectively suppressing the interference of noise and improving the stability of the LED optical output signal.
[0043] Further, the specific method for judging whether to perform filtering processing on the LED optical output signal is as follows: judge whether the noise interference evaluation result is less than the preset noise evaluation threshold obtained from the preset database: if the noise interference evaluation result is not less than the preset noise evaluation threshold obtained from the preset database, perform filtering processing on the LED optical output signal; if the noise interference evaluation result is less than the preset noise evaluation threshold obtained from the preset database, judge whether to optimize the working current based on the LED working current; the filtering processing includes band-pass filtering and sampling frequency adjustment; band-pass filtering means processing the LED optical output signal through a band-pass filter; sampling frequency adjustment means adjusting the sampling frequency to the adjusted sampling frequency, and the adjusted sampling frequency is obtained by mapping the noise interference evaluation result, maximum signal frequency, photodetector bandwidth, analog-to-digital converter bit number, and photoelectric sensitivity detection result stored in the database.
[0044] In this embodiment, the preset noise evaluation threshold is represented by the average value of the qualified noise interference evaluation results within the historical time period; the band-pass filter processes the components outside the corresponding frequency band in the LED light output signal, retains the signal in the required frequency band, and removes the interference components; the bandwidth of the photodetector is obtained according to the bandwidth parameter description of the photodetector; the analog-to-digital converter is obtained through the model number of the analog-to-digital converter chip; the mapping set between the noise interference evaluation results, the maximum signal frequency, the photodetector bandwidth, the number of bits of the analog-to-digital converter, the photoelectric sensitivity detection result, and the preset adjusted sampling frequency stored in the database is used to input the real-time noise interference evaluation result, the maximum signal frequency, the photodetector bandwidth, and the number of bits of the analog-to-digital converter, and the photoelectric sensitivity detection result into the mapping set to obtain the corresponding adjusted sampling frequency.
[0045] Through the above steps, the influence of noise on the LED light output signal is reduced, and the accuracy of the LED light output signal is improved.
[0046] Further, it is determined whether to perform filtering processing on the LED light output signal. After that, it also includes determining whether to optimize the filtering parameters based on the insertion loss of the filtered LED light output signal. The specific method is as follows: the insertion loss is obtained by comparing the intensity of the filtered LED light output signal and the intensity of the LED light input signal; it is determined whether the insertion loss is less than the preset insertion loss obtained from the preset database: if the insertion loss is less than the preset insertion loss obtained from the preset database, the filtering parameters are not optimized; if the insertion loss is not less than the preset insertion loss obtained from the preset database, the filtering parameters are optimized; the filtering parameter optimization includes bandwidth optimization and cut-off frequency optimization; the bandwidth optimization means adjusting the bandwidth to the optimized bandwidth, and the optimized bandwidth is obtained by mapping the insertion loss, the noise interference evaluation result, the maximum signal frequency, the minimum signal frequency, and the current bandwidth stored in the database; the cut-off frequency optimization means adjusting the cut-off frequency to the optimized cut-off frequency, and the optimized cut-off frequency is obtained by mapping the insertion loss, the noise interference evaluation result, the maximum signal frequency, the minimum signal frequency, and the current cut-off frequency stored in the database to obtain the optimized cut-off frequency.
[0047] In this embodiment, the insertion loss is obtained by performing a ratio operation on the intensity of the LED light output signal after filtering processing and the intensity of the LED light input signal; the preset insertion loss is set by a preset person and can be set to 3 dB, for example; the mapping set between the insertion loss, the noise interference evaluation result, the maximum signal frequency, the minimum signal frequency, the current bandwidth, and the preset optimized bandwidth stored in the database, and the real-time insertion loss, the noise interference evaluation result, the maximum signal frequency, the minimum signal frequency, and the current bandwidth are input into the mapping set to obtain the corresponding optimized bandwidth; the mapping set between the insertion loss, the noise interference evaluation result, the maximum signal frequency, the minimum signal frequency, the current cut-off frequency, and the preset optimized cut-off frequency stored in the database, and the real-time insertion loss, the noise interference evaluation result, the maximum signal frequency, the minimum signal frequency, and the current cut-off frequency are input into the mapping set to obtain the corresponding optimized cut-off frequency.
[0048] Through the above steps, the filtering parameters of the band-pass filter are dynamically adjusted to reduce the interference of the band-pass filter on the signal, and the monitoring efficiency of the LED light output signal is improved.
[0049] Further, the first LED light output signal is secondarily amplified by a transimpedance amplifier to obtain a second LED light output signal, and then the noise evaluation of the second LED light output signal is further included to determine whether to perform filtering processing on the second LED light output signal: if filtering processing is performed on the second LED light output signal, the sensitivity of the second LED light output signal after filtering processing is monitored, otherwise the sensitivity of the second LED light output signal is monitored; the second LED light output signal is thirdly amplified by gradually increasing the intermediate gain stage to obtain a third LED light output signal, and then the noise evaluation of the third LED light output signal is further included to determine whether to perform filtering processing on the third LED light output signal; if filtering processing is performed on the third LED light output signal, the sensitivity of the third LED light output signal after filtering processing is monitored, otherwise the sensitivity of the third LED light output signal is monitored.
[0050] In this embodiment, through multiple amplifications and necessary filtering processing, the intensity of the LED light output signal can be effectively enhanced, and at the same time, the noise interference in the signal can be removed or reduced, thereby improving the quality of the LED light output signal; by monitoring the sensitivity of the LED light output signal at different stages, the change of the LED working state can be detected in time, thereby improving the reliability of the real-time monitoring of the LED light output signal.
[0051] Further, the specific process for determining whether to optimize the operating current based on the LED operating current is as follows: B1, determine whether the LED operating current is within the preset operating current range obtained from the preset database. If the LED operating current is within the preset operating current range, no operating current optimization is performed; otherwise, execute B2. B2, determine whether the LED operating current is less than the preset minimum operating current obtained from the preset database. If the LED operating current is less than the preset minimum operating current obtained from the preset database, adjust the pulse signal width; otherwise, use a zener diode to share the voltage. Using a zener diode to share the voltage means sharing the voltage through the regulated voltage value of the zener diode, and the regulated voltage value of the zener diode is obtained by mapping the standard deviation of the operating current, the power consumption of the constant current diode, the operating current of the circuit, and the operating current of the constant current diode. Adjusting the pulse signal width means adjusting the pulse signal width to the adjusted pulse signal width, and the adjusted pulse signal width is obtained by mapping the photoelectric sensitivity detection result, the operating current of the circuit, and the operating current of the constant current diode.
[0052] In this embodiment, the preset operating current range is set according to the specific device model. For example, the constant current of the E-101 type constant current diode is 0.09 - 0.11 mA. The standard deviation of the operating current is calculated by calculating the standard deviation of the operating current of the circuit within a preset time period. The power consumption of the constant current diode is obtained by multiplying the measured voltage and current of the constant current diode in the operating state. The operating current is measured by an ammeter. The voltage is measured by a voltmeter. The pulse width is adjusted by changing the value of the externally connected resistor (usually a variable resistor) or capacitor.
[0053] Through the above steps, different measures are taken targeted to optimize the operating voltage, thereby improving the stability of the output signal of the LED lamp, and further realizing the reliability of the real-time monitoring system of the LED light output signal, and ensuring the light output quality of the LED.
[0054] As Figure 2 shown, it is a flowchart of a method for transforming an intelligent mobile terminal provided by an embodiment of the present application. The embodiment of the present application provides a method for transforming an intelligent mobile terminal, including the following steps: S1, monitor the sensitivity of the LED light output signal, and determine whether to amplify the LED light output signal based on the optical signal sensitivity monitoring result; S2, if the LED light output signal is amplified, evaluate the noise of the amplified LED light output signal, and determine whether to perform filtering processing on the LED light output signal; S3, if filtering processing is performed, determine whether to optimize the operating current based on the LED operating current.
[0055] In this embodiment, by means of sensitivity monitoring and selective amplification and filtering processing, the quality of the LED light output signal can be effectively improved, so as to obtain a clearer and more stable LED light output signal; by controlling the working voltage, it is ensured that the LED is in the optimal voltage state; through dynamic adjustment, the real-time monitoring accuracy of the LED light output signal is improved.
[0056] The embodiment of the present application provides a device applied to a real-time monitoring system for an LED light output signal, including: a data acquisition device, a storage device, and a processing device; wherein, the data acquisition device is used to acquire the LED light output signal, the sensitivity monitoring data of the photodetector, the noise evaluation data, the LED working current, and the insertion loss; the storage device is used to store the LED light output signal, the sensitivity monitoring data of the photodetector, the noise evaluation data of the photodetector, the LED working current, and the insertion loss; the processing device is used to perform sensitivity monitoring on the LED light output signal, perform noise evaluation on the LED light output signal, amplify the LED light output signal, perform filtering processing on the LED light output signal, filtering processing, filtering parameter optimization, and working current optimization.
[0057] In this embodiment, by comprehensively collecting data in multiple aspects including the sensitivity of the photodetector, noise evaluation, insertion loss, etc., and performing targeted processing, the true state of the LED light output signal can be grasped more accurately, and the accuracy and stability of the LED light output signal monitoring are improved.
[0058] In summary, the embodiment of the present application determines whether to amplify the LED light output signal based on the sensitive monitoring result of the optical signal obtained from the LED light output signal, and then if the LED light output signal is amplified, the amplified LED light output signal is subjected to noise evaluation to determine whether to perform filtering processing on the LED light output signal. Finally, if filtering processing is performed, it is determined whether to perform working current optimization based on the LED working current, thereby improving the sensitivity of the LED light output signal monitoring, and further improving the monitoring accuracy of the LED light output signal, effectively solving the problem of low real-time monitoring accuracy of the LED light output signal in the prior art.
[0059] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0060] The present invention is described with reference to the flowcharts and / or block diagrams of systems, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and combinations of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing devices to produce a machine, such that the instructions executed by the processors of the computer or other programmable data processing devices produce means for implementing the functions specified in one or more of the flows Figure 1 one or more of the flows and / or blocks Figure 1 or means for implementing the functions specified in one or more of the blocks.
[0061] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including instruction means that implement the functions specified in one or more of the flows Figure 1 one or more of the flows and / or blocks Figure 1 or means for implementing the functions specified in one or more of the blocks.
[0062] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operational steps are performed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more of the flows Figure 1 one or more of the flows and / or blocks Figure 1 or means for implementing the functions specified in one or more of the blocks.
[0063] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made to these embodiments by those skilled in the art once they learn of the basic inventive concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present invention.
[0064] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.
Claims
1. A real-time monitoring system for LED light output signals, characterized in that: include: Sensitivity monitoring module, noise evaluation module and operating current optimization module; The sensitivity monitoring module is used to monitor the sensitivity of the LED light output signal, and determine whether to amplify the LED light output signal based on the light signal sensitivity monitoring result; The noise evaluation module is used to perform noise evaluation on the amplified LED light output signal if the LED light output signal is amplified, and determine whether to perform filtering processing on the LED light output signal; The operating current optimization module is used to determine whether to perform operating current optimization based on the LED operating current if filtering processing is performed.
2. A real-time monitoring system for LED light output signals as claimed in claim 1, characterized in that: The specific method for monitoring the sensitivity of the LED light output signal is as follows: A sensitivity comparison coefficient is obtained by comparing the absolute sensitivity within a preset time period with the preset absolute sensitivity obtained from a preset database; Comparing the optical power-electrical signal responsivity within a preset time period with the preset optical power-electrical signal responsivity obtained from a preset database to obtain a responsivity comparison coefficient; A dark current contrast coefficient is obtained by performing a comparison process based on the dark current within a preset time period and a preset dark current obtained from a preset database; Introducing a sensitivity weight to correct the sensitivity contrast coefficient, the response contrast coefficient, the dark current contrast coefficient and the quantum efficiency, and performing coupling processing on the results after the correction of the sensitivity contrast coefficient, the response contrast coefficient and the quantum efficiency to obtain a first sensitive coupling coefficient; The result of correcting the first sensitive coupling coefficient and the dark current contrast coefficient is subjected to signal-noise deviation processing to obtain a light signal sensitive monitoring result, wherein the signal-noise deviation processing is used to quantify the deviation between the result of correcting the first sensitive coupling coefficient and the dark current contrast coefficient.
3. A real-time monitoring system for LED light output signals as claimed in claim 1, characterized in that: The specific method for performing noise evaluation on the amplified LED light output signal is as follows: Comparing the signal-to-noise ratio within a preset time period with a preset signal-to-noise ratio obtained from a preset database to obtain a signal-to-noise ratio comparison coefficient; A dark current contrast coefficient is obtained by performing a comparison process based on the dark current within a preset time period and a preset dark current obtained from a preset database; After introducing the first noise weight and the fourth noise weight to correct the signal-to-noise ratio comparison coefficient and the linearity, a first noise evaluation coefficient is obtained by performing an inverse proportional operation after coupling processing; After introducing the second noise weight and the third noise weight to correct the equivalent noise photon number and the dark current contrast coefficient within the preset time period, a coupling process is performed to obtain a second noise evaluation coefficient; The first noise evaluation coefficient and the second noise evaluation coefficient are coupled to obtain a noise interference evaluation result.
4. A real-time monitoring system for LED light output signals as claimed in claim 2, characterized in that: The specific process of determining whether to amplify the LED light output signal based on the light signal sensitivity monitoring result is as follows: A1, if the optical signal sensitivity monitoring result is less than a preset optical signal sensitivity monitoring threshold obtained from a preset database, the LED light output signal is first amplified by a low-noise preamplifier to obtain a first LED light output signal, otherwise the LED light output signal is subjected to noise evaluation, and the first amplification is performed by mapping the optical signal sensitivity monitoring result stored in the database and the incident light power to obtain a gain of the low-noise preamplifier; A2, performing sensitivity monitoring on the first LED light output signal to obtain a first light signal sensitivity monitoring result, if the first light signal sensitivity monitoring result is less than a preset light signal sensitivity monitoring threshold obtained from a preset database, performing a second amplification on the first LED light output signal through a transimpedance amplifier to obtain a second LED light output signal, otherwise, judging whether to perform working current optimization based on the working current corresponding to the first LED light output signal, wherein the second amplification is performed by mapping the first light signal sensitivity monitoring result, the cutoff frequency and the gain bandwidth product stored in the database to obtain a feedback resistance; A3, performing sensitivity monitoring on the second LED light output signal to obtain a second light signal sensitivity monitoring result, if the second light signal sensitivity monitoring result is less than a preset light signal sensitivity monitoring threshold obtained from a preset database, performing a third amplification on the second LED light output signal by gradually increasing the intermediate gain level to obtain a third LED light output signal, otherwise determining whether to perform working current optimization based on the working current corresponding to the second LED light output signal; A4, perform sensitivity monitoring on the third LED light output signal to obtain a third light signal sensitivity monitoring result. If the third light signal sensitivity monitoring result is less than a preset light signal sensitivity monitoring threshold obtained from a preset database, the preset personnel is prompted that the light output signal is incorrect. Otherwise, determine whether to optimize the working current based on the working current corresponding to the third LED light output signal.
5. A real-time monitoring system for LED light output signals as claimed in claim 3, characterized in that: The specific method for determining whether to filter the LED light output signal is as follows: If the noise interference evaluation result is not less than a preset noise evaluation threshold obtained from a preset database, filtering the LED light output signal; If the noise interference evaluation result is less than a preset noise evaluation threshold obtained from a preset database, determining whether to perform operating current optimization based on the LED operating current; The filtering process includes bandpass filtering and sampling frequency adjustment; The sampling frequency adjustment means adjusting the sampling frequency to an adjusted sampling frequency, and the adjusted sampling frequency is obtained by mapping the noise interference evaluation result, the maximum signal frequency, the photodetector bandwidth, the analog-to-digital converter bit number, and the photoelectric sensitivity detection result stored in the database.
6. A real-time monitoring system for LED light output signals as claimed in claim 5, characterized in that: The determining whether to filter the LED light output signal further includes determining whether to optimize the filter parameters based on the insertion loss of the filtered LED light output signal. The specific method is as follows: The insertion loss is obtained by comparing the intensity of the LED light output signal after filtering with the intensity of the LED light input signal; If the insertion loss is less than the preset insertion loss obtained from the preset database, the filter parameter optimization is not performed; If the insertion loss is not less than the preset insertion loss obtained from the preset database, the filter parameters are optimized; The filtering parameter optimization includes bandwidth optimization and cutoff frequency optimization; The bandwidth optimization means adjusting the bandwidth to an optimized bandwidth, and the optimized bandwidth is obtained by mapping the insertion loss, noise interference evaluation result, maximum signal frequency, minimum signal frequency, and current bandwidth stored in a database; The cutoff frequency optimization means adjusting the cutoff frequency to an optimized cutoff frequency, and the optimized cutoff frequency is obtained by mapping the insertion loss, the noise interference evaluation result, the maximum signal frequency, the minimum signal frequency, and the current cutoff frequency stored in the database.
7. A real-time monitoring system for LED light output signals as claimed in claim 4, characterized in that: The first LED light output signal is amplified by the transimpedance amplifier to obtain a second LED light output signal, and then the second LED light output signal is evaluated for noise to determine whether to perform filtering on the second LED light output signal: If the second LED light output signal is filtered, the sensitivity of the filtered second LED light output signal is monitored; otherwise, the sensitivity of the second LED light output signal is monitored; The stepwise increase of the intermediate gain level to perform a third amplification on the second LED light output signal to obtain a third LED light output signal, and then the step further includes performing a noise evaluation on the third LED light output signal to determine whether to perform filtering processing on the third LED light output signal; If the third LED light output signal is filtered, the sensitivity of the filtered third LED light output signal is monitored; otherwise, the sensitivity of the third LED light output signal is monitored.
8. A real-time monitoring system for LED light output signals as claimed in claim 1, characterized in that: The specific process of determining whether to optimize the working current based on the LED working current is as follows: B1, if the LED operating current is within the preset operating current range, the operating current optimization is not performed, otherwise B2 is executed; B2, if the LED operating current is less than the preset minimum operating current obtained from the preset database, the pulse signal width is adjusted, otherwise the voltage is shared by the voltage regulator diode; The voltage sharing using a voltage zener diode means that the voltage is shared by the voltage zener diode, and the voltage zener diode is obtained by mapping the working current standard deviation, the constant current diode power consumption, the working current of the circuit, and the working current of the constant current diode; The pulse signal width adjustment means adjusting the pulse signal width to an adjusted pulse signal width, and the adjusted pulse signal width is obtained by mapping the photoelectric sensitive detection result, the working current of the circuit, and the working current of the constant current diode.
9. A method for real-time monitoring of LED light output signals, characterized in that: The following steps are involved: S1, monitoring the sensitivity of the LED light output signal, and determining whether to amplify the LED light output signal based on the light signal sensitivity monitoring result; S2, if the LED light output signal is amplified, then performing noise evaluation on the amplified LED light output signal to determine whether to perform filtering processing on the LED light output signal; S3: If filtering is performed, it is determined whether to optimize the operating current based on the LED operating current.
10. A device applied to a real-time monitoring system for LED light output signals as claimed in any one of claims 1 to 8, characterized in that: include: Data acquisition equipment, storage equipment and processing equipment; Wherein, the data acquisition device is used to collect LED light output signals, sensitivity monitoring data of photodetectors, noise evaluation data, LED operating current and insertion loss; The storage device is used to store LED light output signals, sensitivity monitoring data of the photodetector, noise evaluation data of the photodetector, LED operating current and insertion loss; The processing device is used for sensitivity monitoring of LED light output signals, noise evaluation of LED light output signals, amplification of LED light output signals, filtering of LED light output signals, filtering parameter optimization and operating current optimization.
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