CN119618271A - Photoelectric signal automatic conversion processing method - Google Patents
Photoelectric signal automatic conversion processing method Download PDFInfo
- Publication number
- CN119618271A CN119618271A CN202510147179.1A CN202510147179A CN119618271A CN 119618271 A CN119618271 A CN 119618271A CN 202510147179 A CN202510147179 A CN 202510147179A CN 119618271 A CN119618271 A CN 119618271A
- Authority
- CN
- China
- Prior art keywords
- value
- temperature
- moment
- time
- dark current
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D3/00—Indicating or recording apparatus with provision for the special purposes referred to in the subgroups
- G01D3/028—Indicating or recording apparatus with provision for the special purposes referred to in the subgroups mitigating undesired influences, e.g. temperature, pressure
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D5/00—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable
- G01D5/26—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light
- G01D5/28—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with deflection of beams of light, e.g. for direct optical indication
- G01D5/30—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with deflection of beams of light, e.g. for direct optical indication the beams of light being detected by photocells
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D5/00—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable
- G01D5/26—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light
- G01D5/32—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light
- G01D5/34—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light the beams of light being detected by photocells
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K3/00—Thermometers giving results other than momentary value of temperature
- G01K3/08—Thermometers giving results other than momentary value of temperature giving differences of values; giving differentiated values
- G01K3/10—Thermometers giving results other than momentary value of temperature giving differences of values; giving differentiated values in respect of time, e.g. reacting only to a quick change of temperature
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M1/00—Analogue/digital conversion; Digital/analogue conversion
- H03M1/06—Continuously compensating for, or preventing, undesired influence of physical parameters
- H03M1/08—Continuously compensating for, or preventing, undesired influence of physical parameters of noise
- H03M1/089—Continuously compensating for, or preventing, undesired influence of physical parameters of noise of temperature variations
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M1/00—Analogue/digital conversion; Digital/analogue conversion
- H03M1/12—Analogue/digital converters
- H03M1/124—Sampling or signal conditioning arrangements specially adapted for A/D converters
- H03M1/1245—Details of sampling arrangements or methods
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M1/00—Analogue/digital conversion; Digital/analogue conversion
- H03M1/66—Digital/analogue converters
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Photometry And Measurement Of Optical Pulse Characteristics (AREA)
Abstract
本发明涉及光电信号转换技术领域，具体涉及一种光电信号自动转换处理方法。方法包括：获取光电二极管的环境温度值和电流值；基于每个时刻的局部范围内温度值的增长情况，确定每个时刻的温度增长指数；基于每个时刻的局部范围内温度值的波动情况，确定每个时刻的温度波动因子；结合温度增长指数和温度波动因子获得每个时刻的暗流激增值；根据每个时刻的局部范围内电流值的混乱情况，得到每个时刻的光照变动引起的暗流增长程度；综合暗流激增值和暗流增长程度确定温度补偿量；结合初始截止频率与初始状态下的频率补偿值之间的映射关系和温度补偿量，确定截止频率更新值，进而对光电信号转换处理。本发明提高了光电信号检测结果的准确度。
The present invention relates to the technical field of photoelectric signal conversion, and in particular to a method for automatic conversion and processing of photoelectric signals. The method comprises: obtaining the ambient temperature value and current value of a photodiode; determining the temperature growth index at each moment based on the growth of the temperature value in the local range at each moment; determining the temperature fluctuation factor at each moment based on the fluctuation of the temperature value in the local range at each moment; obtaining the dark current surge value at each moment in combination with the temperature growth index and the temperature fluctuation factor; obtaining the dark current growth degree caused by the illumination change at each moment according to the disorder of the current value in the local range at each moment; determining the temperature compensation amount by combining the dark current surge value and the dark current growth degree; determining the cutoff frequency update value in combination with the mapping relationship between the initial cutoff frequency and the frequency compensation value in the initial state and the temperature compensation amount, and then converting and processing the photoelectric signal. The present invention improves the accuracy of the photoelectric signal detection result.
Description
Technical Field
The invention relates to the technical field of photoelectric signal conversion, in particular to an automatic photoelectric signal conversion processing method.
Background
The automatic photoelectric signal conversion processing method is a technology for converting an optical signal into an electrical signal or converting an electrical signal into an optical signal, and has wide application in a plurality of fields. The photoelectric conversion is mainly applied to the fields of communication, sensing, detection, medical treatment and the like. The photoelectric signal conversion in the communication field is a core technology of optical fiber communication, the electric signal is encoded and transmitted through the optical signal and then decoded into the electric signal at a receiving end, and the sensor and detection field comprises photoelectric sensors such as photoelectric switches, light curtain sensors and laser ranging equipment. Detecting the presence, distance or movement of an object by converting the optical signal into an electrical signal, and for monitoring the quality of the product, measuring the position or controlling the mechanical action. The photoelectric signal automatic conversion processing method has extremely wide application, and almost covers various fields of modern science and technology from communication to medical treatment and consumer electronics to industrial control. In technical realization, photoelectric effect and electroluminescence are core principles, and the requirements of different scenes are met through various devices and methods.
In the field of electronic components, the main optoelectronic devices include photodiodes and the like, the basic principle of which is to achieve control by converting light into a certain current, such as a photoelectric switch lamp or the like. In practical use, due to the complexity of the use environment of the photodiode, in some high temperature regions, the dark current effect may cause the accuracy of the photodiode to be reduced. The dark current of a photodiode refers to a small amount of current that is still present in the diode in the absence of light, whereas the dark current is mainly derived from the thermally excited (thermally generated carrier) effect of the semiconductor material. As the temperature increases, the number of thermally generated carriers increases, and the dark current increases significantly, thereby affecting the signal detection accuracy of the photodiode, which is particularly important in the field of weak light or high-precision detection.
Disclosure of Invention
In order to solve the problem of lower accuracy of detection results in the existing detection of signals of photodiodes, the invention aims to provide an automatic photoelectric signal conversion processing method, which adopts the following technical scheme:
the invention provides an automatic photoelectric signal conversion processing method, which comprises the following steps:
acquiring an ambient temperature value and a current value of a photodiode;
Determining a temperature increase index of each moment based on the increase condition of the temperature value between two adjacent moments in the local range of each moment, determining a temperature fluctuation factor of each moment based on the fluctuation condition of the temperature value between two adjacent moments in the local range of each moment, and obtaining the dark current surge value of each moment by combining the temperature increase index and the temperature fluctuation factor;
obtaining the dark current increment degree caused by illumination variation at each moment according to the chaotic condition of the current value in the local range at each moment, and determining the temperature compensation quantity at each moment by integrating the dark current increment value and the dark current increment degree;
And utilizing the cutoff frequency updating value to perform photoelectric signal conversion processing.
Preferably, the determining the temperature increase index at each time based on the increase of the temperature value between two adjacent times in the local range at each time includes:
taking the accumulated sum of the temperature increment values of all adjacent two moments in the time neighborhood of the candidate moment as the temperature increment index of the candidate moment;
The candidate time is any time in the current time period.
Preferably, the obtaining of the temperature increment values of the two adjacent moments comprises determining a difference value obtained by subtracting the temperature value of the last moment from the temperature value of the last moment in the two adjacent moments as the temperature increment value of the two adjacent moments.
Preferably, the determining the temperature fluctuation factor of each time based on the fluctuation condition of the temperature value between two adjacent time within the local range of each time includes:
If the temperature increment value of two adjacent moments in the time neighborhood of the candidate moment is larger than 0, the characteristic value corresponding to the two adjacent moments is 1, if the temperature increment value of two adjacent moments in the time neighborhood of the candidate moment is equal to 0, the characteristic value corresponding to the two adjacent moments is 0, if the temperature increment value of two adjacent moments in the time neighborhood of the candidate moment is smaller than 0, the characteristic value corresponding to the two adjacent moments is-1;
and obtaining the temperature fluctuation factor of the candidate moment according to the integral distribution of the characteristic values corresponding to the two adjacent moments in the time neighborhood of the candidate moment.
Preferably, the obtaining the temperature fluctuation factor of the candidate moment according to the overall distribution of the feature values corresponding to the two adjacent moments in the time neighborhood of the candidate moment includes:
And determining the sum of the characteristic values corresponding to all adjacent two moments in the time neighborhood of the candidate moment as a temperature fluctuation factor of the candidate moment.
Preferably, the step of obtaining the dark current surge value at each moment by combining the temperature increase index and the temperature fluctuation factor includes:
Calculating the absolute value of the temperature fluctuation factor at the candidate moment;
And obtaining the dark current surge value of the candidate moment according to the temperature increase index of the candidate moment and the absolute value, wherein the temperature increase index and the dark current surge value are in positive correlation, and the absolute value and the dark current surge value are in negative correlation.
Preferably, the obtaining the dark current increase degree caused by the illumination variation at each moment according to the chaotic condition of the current value in the local range at each moment includes:
Respectively calculating the current difference of each two adjacent moments in the time neighborhood of the candidate moment, wherein the current difference is the difference value obtained by subtracting the current value of the previous moment from the current value of the next moment in the two adjacent moments;
And determining the chaotic degree of the current difference corresponding to all adjacent two moments in the time neighborhood of the candidate moment as the dark current growth degree caused by illumination variation of the candidate moment.
Preferably, said determining the temperature compensation amount at each moment by combining said dark current surge value and said dark current increase degree includes:
And determining the product of the dark current surge value at the candidate moment and the dark current increase degree at the candidate moment as the temperature compensation quantity at the candidate moment.
Preferably, the determining the updated cutoff frequency value by combining the mapping relation between the initial cutoff frequency and the frequency compensation value in the initial state and the temperature compensation amount at all times includes:
Calculating the average value of the temperature compensation amounts at all the moments in the current time period;
The ratio between the initial cut-off frequency and the frequency compensation value in the initial state is recorded as a first ratio, and the product of the first ratio and the average value is determined as a cut-off frequency updating value.
Preferably, obtaining the confusion degree of the current differences corresponding to all adjacent two moments in the time neighborhood of the candidate moment comprises determining the entropy values of the current differences corresponding to all adjacent two moments in the time neighborhood of the candidate moment as the confusion degree.
The invention has at least the following beneficial effects:
According to the method, firstly, the increase condition of the temperature value in the local range of each moment is evaluated to obtain the temperature increase index of each moment, then, the fluctuation condition of the temperature value between two adjacent moments in the local range of each moment is evaluated to obtain the temperature fluctuation factor of each moment, the dark current surge value of each moment is evaluated by combining the temperature increase index and the temperature fluctuation factor, the dark current surge value of each moment is obtained, the chaotic condition of the current value in the local range of each moment and the dark current surge value are combined to determine the temperature compensation quantity of each moment, and then, the cut-off frequency is updated by utilizing the temperature compensation quantity of all moments according to the mapping relation between the initial cut-off frequency and the frequency compensation value in the initial state, and then, the updated cut-off frequency is utilized to perform conversion treatment on the photoelectric signal.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of an automatic photoelectric signal conversion processing method according to an embodiment of the present invention;
FIG. 2 is a diagram of a simulation environment of a filter circuit according to an embodiment of the present invention;
fig. 3 is a block diagram of an automatic photoelectric signal conversion processing system according to an embodiment of the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the present invention to achieve the preset purpose, the following detailed description is given below of an automatic photoelectric signal conversion processing method according to the embodiment of the present invention with reference to the accompanying drawings and the preferred embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following specifically describes a specific scheme of the photoelectric signal automatic conversion processing method provided by the invention with reference to the accompanying drawings.
An embodiment of a photoelectric signal automatic conversion processing method comprises the following steps:
The embodiment aims at specific scenes that in order to improve the accuracy of a signal detection result of a photodiode, a temperature sensor is arranged around the photodiode and used for collecting ambient temperature data, an initial filtering parameter value is arranged, ambient temperature is analyzed to determine dark current surge, a temperature compensation amount is judged according to the surge, the initial filtering parameter value is dynamically iterated according to the frequency compensation amount, the influence of dark current noise on the accuracy of the photodiode is eliminated, and the purpose of automatic high-accuracy conversion of photoelectric signals is achieved.
The embodiment provides an automatic photoelectric signal conversion processing method, as shown in fig. 1, which includes the following steps:
step S1, obtaining an ambient temperature value and a current value of the photodiode.
Firstly, a temperature sensor is installed near the photodiode and used for collecting environmental temperature data, the temperature sensor uses a high-precision digital temperature sensor (such as DS18B 20), the precision is required to be within +/-0.1 ℃, the temperature range meets the expected working environment, the temperature range is-40 ℃ to 85 ℃, and the distance between the temperature sensor and the photodiode is not more than 1cm in the embodiment. And directly accessing the temperature sensor into an I/O port of the microcontroller, and reading the temperature value through serial communication.
The filter circuit is then configured to filter out dark current and other low frequency noise signals while preserving the effective photo signal. A high pass filter is used to eliminate low frequency dc components such as dark current noise and the like. An active filter circuit (high-pass filter configured by an operational amplifier) is selected, wherein the high-pass cut-off frequency of the filter is adjustable, and the purpose of the filter is to serve the function of dynamic adjustment filtering of subsequent steps. The simulation environment of the filter circuit is shown in fig. 2, in which R1, R2, R3 and R4 represent resistors, C3 and C4 represent capacitors, ui represents an input power supply, uo represents an output power supply, XSC1 represents an oscilloscope, V1 represents a voltage across R4, V2 represents a 12V power supply, V3 represents an input voltage Ui, and U1 represents an amplifier. The filter circuit is close to the output end of the photodiode, so that line noise interference is reduced. The present embodiment isolates electromagnetic interference using shielded cables or ground wires. Next, a data analysis module is configured, and the data analysis module receives output signals of the temperature sensor and the photodiode, and the embodiment dynamically adjusts a compensation value of the dark current based on the temperature data and the current data. And combining an adaptive filtering algorithm to remove residual dark current noise in real time. The temperature sensor, the filter circuit and the data analysis module are connected to the microcontroller, analog signals are read through the ADC of the MCU, and dark current compensation and self-adaptive filtering are realized through software.
The method comprises the steps of obtaining a photodiode filtering processing module with completed configuration, wherein the module comprises a filtering circuit module capable of regulating and controlling high-pass cut-off frequency, a sensor module for detecting real-time environment temperature and a module for carrying out data regulation and analysis. Setting an initial filtering cut-off frequency and a frequency compensation value in an initial state for the high-pass filtering module, wherein a specific object to be filtered is an electric signal subjected to photoelectric conversion of a diode, and the electric signal is current, namely, different current signal values are provided at different times. In the photoelectric conversion process, the current signal may be represented as noise of dark current, so that the current signal needs to be filtered, but due to the complexity of the environment, the dark current at different temperatures is inconsistent, so that in order to ensure the conversion effect of the photoelectric signal, the cut-off frequency needs to have iterative characteristics. Therefore, firstly, an initial filtering parameter is set, the dark current is essentially a direct current bias current generated by the inherent property of the device, the signal frequency is low, even the signal frequency can be regarded as a static signal, namely, the signal frequency is slightly larger than 0Hz, and when the dark current has fluctuation, namely, the temperature change or the tiny interference of an optical signal, a corresponding low-frequency signal is generated, and the fluctuation frequency is usually in a low-frequency range, namely, the frequency is about 5Hz. Therefore, the filter cut-off frequency in the initial filtering process is set to 5Hz, and the general frequency of the electric signal with normal fluctuation is higher than 5Hz. Further, the frequency is configured in a high-pass filter circuit with adjustable cut-off frequency to perform real-time dark current filtering.
The environmental temperature value and the current value in the current time period are collected, the current time period is a set formed by all historical time points with the time interval between the current time period and the current time point being smaller than or equal to the preset time length, in the embodiment, the preset time length is 10 minutes, the temperature value and the current value are collected once every second, namely, one temperature value and one current value are collected every second, and in the specific application, an implementer can set the preset time length and the collection frequency of data according to specific conditions.
Up to this point, the embodiment collects a temperature value and a current value at each moment in the current time period of the photodiode, wherein the collected partial temperature values are shown in table 1:
TABLE 1
Step S2, determining a temperature increase index of each moment based on the increase condition of the temperature value between two adjacent moments in the local range of each moment, determining a temperature fluctuation factor of each moment based on the fluctuation condition of the temperature value between two adjacent moments in the local range of each moment, and obtaining the dark current surge value of each moment by combining the temperature increase index and the temperature fluctuation factor.
The embodiment analyzes the ambient temperature to determine the surge performance of the dark current, judges the mapping of the temperature compensation quantity according to the surge performance value, dynamically iterates the initial filtering parameter value according to the frequency compensation quantity, eliminates the influence of the dark current noise on the precision of the photodiode, and achieves the purpose of automatic high-precision conversion.
Because the filtering effect of the fixed frequency filtering is poor, when the illumination intensity in the environment fluctuates or the temperature shows unstable change, the fluctuation of the corresponding generated dark current is stronger, and the fluctuation frequency of the dark current is rapidly increased. If the initial dark current cutoff frequency is set higher, part of the electric signals with information are filtered out to influence the integrity of the signals, so that the corresponding cutoff frequency needs to be updated in time to prevent the occurrence of the conditions.
As the ambient temperature of the photodiode increases, the thermal excitation (thermally generated carriers) effect of the semiconductor material increases, the number of thermally generated carriers increases, the dark current increases significantly, the dark current energy increases, and the fluctuation thereof increases.
The ambient light intensity can also cause different fluctuation conditions of the dark current due to the influence of noise and the like, and the dark current frequency can be increased by combining the temperature rising scene.
In order to achieve the purpose of adjusting the filtering parameters in real time, the relevant mapping relation needs to be determined by combining the real-time temperature change to obtain the optimized updating value of the filtering parameters. The more severe the increase of the ambient temperature over a certain period of time, the more intense the fluctuation, the higher the effect of the dark current surge it produces, and the higher the corresponding temperature compensation.
Next, this embodiment will be described by taking any time in the current time period as an example, and the method provided in this embodiment may be used to process other times in the current time period.
Specifically, any time in the current time period is recorded as a candidate time, a difference value obtained by subtracting the temperature value of the next time from the temperature value of the previous time in the time neighborhood of the candidate time is determined as a temperature increment value of the next two times, one temperature increment value exists in each of the two adjacent times in the time neighborhood of the candidate time, and the accumulated sum of the temperature increment values of all the two adjacent times in the time neighborhood of the candidate time is used as a temperature increment index of the candidate time. The method for acquiring the time neighborhood of the candidate moment comprises the steps of constructing a time window with a preset first time length by taking the candidate moment as a central moment, and taking the time window as the time neighborhood of the candidate moment, wherein in the embodiment, the preset first time length is one minute, and in the specific application, an implementer can set according to specific conditions.
If the temperature increment value of two adjacent moments in the time neighborhood of the candidate moment is larger than 0, the characteristic value corresponding to the two adjacent moments is 1, if the temperature increment value of two adjacent moments in the time neighborhood of the candidate moment is equal to 0, the characteristic value corresponding to the two adjacent moments is 0, and if the temperature increment value of two adjacent moments in the time neighborhood of the candidate moment is smaller than 0, the characteristic value corresponding to the two adjacent moments is-1. By adopting the method, the temperature increase value of every two adjacent moments in the time neighborhood of the candidate moment can be obtained, and one temperature increase value exists between every two adjacent moments in the time neighborhood of the candidate moment. And determining the sum of the characteristic values corresponding to all adjacent two moments in the time neighborhood of the candidate moment as a temperature fluctuation factor of the candidate moment. And obtaining the dark current surge value of the candidate moment according to the temperature increase index of the candidate moment and the absolute value, wherein the temperature increase index and the dark current surge value are in positive correlation, and the absolute value and the dark current surge value are in negative correlation.
The negative correlation relationship indicates that the dependent variable decreases with increasing independent variable, the dependent variable increases with decreasing independent variable, and can be determined by practical application in terms of a subtraction relationship, a division relationship, and the like, and the positive correlation relationship indicates that the dependent variable increases with increasing independent variable, and the dependent variable decreases with decreasing independent variable, and can be determined by practical application in terms of an addition relationship, a multiplication relationship, and the like.
In this embodiment, a specific calculation formula of the dark current surge value is given, and the dark current surge value at the nth time may be expressed as:
Wherein, Indicating the surge in dark current at time n,Indicating the temperature increase index at the nth time,Indicating the temperature fluctuation factor at the nth time,Indicating the preset adjustment parameters of the device,Representing absolute value notation, norm () represents a normalization function.
In this embodiment, the preset adjustment parameter is introduced into the calculation formula of the dark current surge value to prevent the denominator from being 0, and in this embodiment, the preset adjustment parameter is 1, and in a specific application, an implementer can set according to a specific situation.
When the temperature increase index at the nth time is higher and the absolute value of the temperature fluctuation factor at the nth time is smaller, the corresponding dark current surge is higher, that is, the dark current surge at the nth time is higher.
By adopting the method, the dark current surge value at each moment in the current time period can be obtained.
Step S3, obtaining the dark current increment degree caused by illumination variation at each moment according to the chaotic condition of the current value in the local range at each moment, determining the temperature compensation quantity at each moment by integrating the dark current increment value and the dark current increment degree, and determining the updating value of the cut-off frequency by combining the mapping relation between the initial cut-off frequency and the frequency compensation value in the initial state and the temperature compensation quantity at all moments.
From the specific logic of the occurrence of the dark current, the instability of the temperature and the illumination is the reason for the rapid increase of the amplitude of the dark current in the frequency domain. The stability of the illumination intensity can be represented by a non-dark current portion, i.e. a current value generated by a photoelectric effect in the photodiode element, when photons are incident on the P-N junction of the photodiode, electron-hole pairs are generated in the junction region, and these carriers form a photo-generated current under the action of the built-in electric field.
When the illumination intensity is changed, the photo-generated current is changed along with the change, the number of photons is increased, the number of generated electron-hole pairs is increased, the photo-generated current is linearly increased along with the light intensity, when the illumination intensity is weakened, the photo-generated current is reduced along with the decrease, and when the illumination completely disappears, the photo-generated current tends to zero, and the residual current is dark current. Thus, when the current of the non-dark current shows nonlinear fluctuation, the ambient light changes, and the dark current generated by the ambient light increases.
The candidate time is still taken as an example, specifically, the current differences of all adjacent two times in the time neighborhood of the candidate time are calculated respectively, wherein the current difference is the difference obtained by subtracting the current value of the previous time from the current value of the next time in the adjacent two times, and the fact that one current difference exists in each two adjacent times in the time neighborhood of the candidate time is needed to be described. And determining the chaotic degree of the current difference corresponding to all adjacent two moments in the time neighborhood of the candidate moment as the dark current growth degree caused by illumination variation of the candidate moment. The degree of disorder of the current difference can be expressed by indexes such as the pole difference of the current difference, the entropy value of the current difference, the variance of the current difference, the standard deviation of the current difference and the like. In the embodiment, entropy values of current differences corresponding to all adjacent two moments in a time neighborhood of a candidate moment are determined as chaotic degrees of the current differences corresponding to all adjacent two moments in the time neighborhood of the candidate moment, and when the entropy value is larger, the chaotic degree of current change is higher, the fluctuation degree of ambient light intensity is higher, and the internal dark current effect is stronger.
And determining the product of the dark current surge value at the candidate moment and the dark current increase degree at the candidate moment as the temperature compensation quantity at the candidate moment. The larger the value of the temperature compensation amount, the stronger the corresponding dark current effect due to environmental influence, and the more frequency compensation is required, namely the more the cutoff frequency in high-pass filtering is required to be increased.
And then taking the average value as a mapping constant, establishing a cut-off frequency mapping relation, determining a cut-off frequency updating value, specifically, recording the ratio between the initial cut-off frequency and the frequency compensation value in the initial state as a first ratio, and determining the product of the first ratio and the average value as the cut-off frequency updating value.
Up to this point, the present embodiment acquires the cutoff frequency update value.
And S4, performing photoelectric signal conversion processing by using the cutoff frequency updating value.
In this embodiment, in step S3, a cutoff frequency update value is obtained, and is applied to a real-time high-pass filter circuit, and the high-pass filter circuit is used to perform photoelectric signal conversion processing.
According to the embodiment, the filtering cut-off frequency of the high-pass filtering circuit is updated in real time according to the environmental parameters, so that conversion errors caused by current value noise in the photodiode due to the change of dark current can be effectively prevented, and the accuracy of a photoelectric signal conversion result is improved.
According to the method, firstly, the increase condition of the temperature value in the local range of each moment is evaluated to obtain the temperature increase index of each moment, then, the fluctuation condition of the temperature value between two adjacent moments in the local range of each moment is evaluated to obtain the temperature fluctuation factor of each moment, the dark current surge value of each moment is evaluated by combining the temperature increase index and the temperature fluctuation factor, the dark current surge value of each moment is obtained, the chaotic condition of the current value in the local range of each moment and the dark current surge value are combined to determine the temperature compensation quantity of each moment, the cut-off frequency is updated according to the mapping relation between the initial cut-off frequency and the frequency compensation value in the initial state, and then, the updated cut-off frequency is used for converting the photoelectric signal, and the cut-off frequency in the photodiode action system can be adaptively updated, so that the purpose of intercepting the low-frequency dark current in real time and high precision is achieved, and the accuracy of photoelectric conversion is improved.
An embodiment of an automatic photoelectric signal conversion processing system:
As shown in fig. 3, the figure shows a block diagram of an automatic photoelectric signal conversion processing system, which includes a data acquisition module, a processing module, a cut-off frequency updating module, and a signal conversion module.
The data acquisition module is used for acquiring an ambient temperature value and a current value of the photodiode;
the processing module is used for determining a temperature increase index of each moment based on the increase condition of the temperature value between two adjacent moments in the local range of each moment; determining a temperature fluctuation factor of each moment based on the fluctuation condition of the temperature value between two adjacent moments in the local range of each moment;
the cut-off frequency updating module is used for obtaining the dark current increment degree caused by illumination variation at each moment according to the chaotic condition of the current value in the local range at each moment, and determining the temperature compensation quantity at each moment by integrating the dark current increment value and the dark current increment degree;
And the signal conversion module is used for utilizing the cutoff frequency update value to perform photoelectric signal conversion processing.
It should be understood that the block diagram of an automatic photoelectric signal conversion processing system and its modules shown in fig. 3 may be implemented in various manners. For example, in some embodiments, the system and its modules may be implemented in hardware, software, or a combination of software and hardware. Where the hardware portions may be implemented using dedicated logic and the software portions may be stored in a memory for execution by a suitable instruction execution system, such as a microprocessor or dedicated design hardware. Those skilled in the art will appreciate that the methods and systems described above may be implemented using computer executable instructions and/or embodied in processor control code, such as provided on a carrier medium such as a magnetic disk, CD or DVD-ROM, a programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system of the present specification and its modules may be implemented not only with hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but also with software executed by various types of processors, for example, and with a combination of the above hardware circuits and software (e.g., firmware).
For further details on the above-mentioned respective modules, reference may be made to other locations in the present specification, and no further description is given here.
In other embodiments, an apparatus for automatically converting and processing an optoelectronic signal is also provided, including a memory and a processor. The memory is used for storing executable program codes, and the processor is used for calling and running the executable program codes from the memory, so that the device executes the photoelectric signal automatic conversion processing method. The device can be a chip, a component or a module, and the chip can comprise a processor and a memory which are connected, wherein the memory is used for storing instructions, and when the processor calls and executes the instructions, the chip can be made to execute the photoelectric signal automatic conversion processing method provided by the embodiment.
In other embodiments, there is also provided a computer program product, which when run on a computer, causes the computer to perform the above-mentioned related steps to implement an automatic photoelectric signal conversion processing method provided in the above-mentioned embodiments.
In other embodiments, there is also provided a computer-readable storage medium having stored therein computer program code which, when run on a computer, causes the computer to perform the above-described related method steps to implement an automatic photoelectric signal conversion processing method provided in the above-described embodiments.
The system, the electronic device, the computer program product, and the computer readable storage medium are all configured to execute the corresponding methods provided above, so that the benefits achieved by the system, the electronic device, the computer program product, and the computer readable storage medium can refer to the benefits in the corresponding methods provided above, and are not described herein.
It should be noted that the above-mentioned embodiments are only preferred embodiments of the present invention, and are not intended to limit the present invention, and any modifications, equivalent substitutions, improvements, etc. within the principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An automatic photoelectric signal conversion processing method is characterized by comprising the following steps:
acquiring an ambient temperature value and a current value of a photodiode;
Determining a temperature increase index of each moment based on the increase condition of the temperature value between two adjacent moments in the local range of each moment, determining a temperature fluctuation factor of each moment based on the fluctuation condition of the temperature value between two adjacent moments in the local range of each moment, and obtaining the dark current surge value of each moment by combining the temperature increase index and the temperature fluctuation factor;
obtaining the dark current increment degree caused by illumination variation at each moment according to the chaotic condition of the current value in the local range at each moment, and determining the temperature compensation quantity at each moment by integrating the dark current increment value and the dark current increment degree;
And utilizing the cutoff frequency updating value to perform photoelectric signal conversion processing.
2. The method according to claim 1, wherein determining the temperature increase index for each time based on the increase in the temperature value between two adjacent time points in the local range for each time point comprises:
taking the accumulated sum of the temperature increment values of all adjacent two moments in the time neighborhood of the candidate moment as the temperature increment index of the candidate moment;
The candidate time is any time in the current time period.
3. The method according to claim 2, wherein the obtaining of the temperature increase values at the adjacent two times includes determining a difference obtained by subtracting the temperature value at the previous time from the temperature value at the next time as the temperature increase value at the next time.
4. A photoelectric signal automatic conversion processing method according to claim 3, wherein said determining a temperature fluctuation factor for each time based on fluctuation of temperature values between adjacent two times in a local range of each time comprises:
If the temperature increment value of two adjacent moments in the time neighborhood of the candidate moment is larger than 0, the characteristic value corresponding to the two adjacent moments is 1, if the temperature increment value of two adjacent moments in the time neighborhood of the candidate moment is equal to 0, the characteristic value corresponding to the two adjacent moments is 0, if the temperature increment value of two adjacent moments in the time neighborhood of the candidate moment is smaller than 0, the characteristic value corresponding to the two adjacent moments is-1;
and obtaining the temperature fluctuation factor of the candidate moment according to the integral distribution of the characteristic values corresponding to the two adjacent moments in the time neighborhood of the candidate moment.
5. The method for automatically converting and processing an optical-electrical signal according to claim 4, wherein the obtaining the temperature fluctuation factor of the candidate time according to the overall distribution of the feature values corresponding to the two adjacent times in the time neighborhood of the candidate time comprises:
And determining the sum of the characteristic values corresponding to all adjacent two moments in the time neighborhood of the candidate moment as a temperature fluctuation factor of the candidate moment.
6. The method for automatically converting and processing an optical-electrical signal according to claim 2, wherein the step of obtaining the dark current surge value at each time by combining the temperature increase index and the temperature fluctuation factor comprises the steps of:
Calculating the absolute value of the temperature fluctuation factor at the candidate moment;
And obtaining the dark current surge value of the candidate moment according to the temperature increase index of the candidate moment and the absolute value, wherein the temperature increase index and the dark current surge value are in positive correlation, and the absolute value and the dark current surge value are in negative correlation.
7. The method for automatically converting and processing an optical-electrical signal according to claim 2, wherein the obtaining the dark current increase degree caused by the illumination variation at each time according to the disorder of the current value in the local range at each time comprises:
Respectively calculating the current difference of each two adjacent moments in the time neighborhood of the candidate moment, wherein the current difference is the difference value obtained by subtracting the current value of the previous moment from the current value of the next moment in the two adjacent moments;
And determining the chaotic degree of the current difference corresponding to all adjacent two moments in the time neighborhood of the candidate moment as the dark current growth degree caused by illumination variation of the candidate moment.
8. The method according to claim 2, wherein the step of determining the temperature compensation amount at each time by integrating the dark current surge value and the dark current increase degree comprises:
And determining the product of the dark current surge value at the candidate moment and the dark current increase degree at the candidate moment as the temperature compensation quantity at the candidate moment.
9. The method according to claim 1, wherein determining the updated cutoff frequency value by combining the mapping relationship between the initial cutoff frequency and the frequency compensation value in the initial state and the temperature compensation amounts at all times, comprises:
Calculating the average value of the temperature compensation amounts at all the moments in the current time period;
The ratio between the initial cut-off frequency and the frequency compensation value in the initial state is recorded as a first ratio, and the product of the first ratio and the average value is determined as a cut-off frequency updating value.
10. The method for automatically converting and processing an optical-electrical signal according to claim 7, wherein the obtaining of the degree of confusion of the current differences corresponding to all adjacent two moments in the time neighborhood of the candidate moment includes determining the entropy values of the current differences corresponding to all adjacent two moments in the time neighborhood of the candidate moment as the degree of confusion.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202510147179.1A CN119618271A (en) | 2025-02-11 | 2025-02-11 | Photoelectric signal automatic conversion processing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202510147179.1A CN119618271A (en) | 2025-02-11 | 2025-02-11 | Photoelectric signal automatic conversion processing method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN119618271A true CN119618271A (en) | 2025-03-14 |
Family
ID=94888787
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202510147179.1A Pending CN119618271A (en) | 2025-02-11 | 2025-02-11 | Photoelectric signal automatic conversion processing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN119618271A (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN207556551U (en) * | 2017-05-31 | 2018-06-29 | 江苏紫米软件技术有限公司 | A kind of light sensitive device dark current correction of temperature drift system |
| CN118050075A (en) * | 2023-04-17 | 2024-05-17 | 蚌埠学院 | An optical power meter based on temperature compensation and its measurement method |
-
2025
- 2025-02-11 CN CN202510147179.1A patent/CN119618271A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN207556551U (en) * | 2017-05-31 | 2018-06-29 | 江苏紫米软件技术有限公司 | A kind of light sensitive device dark current correction of temperature drift system |
| CN118050075A (en) * | 2023-04-17 | 2024-05-17 | 蚌埠学院 | An optical power meter based on temperature compensation and its measurement method |
Non-Patent Citations (1)
| Title |
|---|
| 安东尼•罗加尔斯基 等: "《锑基红外探测器》", 31 August 2023, 国防工业出版社, pages: 136 - 137 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105988497B (en) | Excess bias control system and method for single photon avalanche photodiode | |
| CN203629593U (en) | Detection circuit for optical fiber sensing weak signals | |
| CN1670492B (en) | System and method for canceling dark photocurrent in a color sensor circuit | |
| US20110292381A1 (en) | Method for measuring optical input power by avalanche photodiode | |
| US9998101B2 (en) | Method for controlling operation of moving average filter | |
| US10996107B2 (en) | Exponential model based uncooled infrared focal plane array readout circuit | |
| CN207556551U (en) | A kind of light sensitive device dark current correction of temperature drift system | |
| CN109506683B (en) | A FBG optical fiber sensing demodulation system for marine environment monitoring | |
| CN119618271A (en) | Photoelectric signal automatic conversion processing method | |
| JP2010212900A (en) | Light receiving power monitor circuit, receiver, transceiver, method for controlling light receiving power monitor circuit, and program | |
| CN114046900B (en) | Self-adaptive filtering method and device for distributed optical fiber temperature measurement system | |
| CN113686434B (en) | Temperature simulation compensation method and system for photoelectric detection device | |
| Murtaza et al. | Optical isolation mechanism based MPPT for PV array under partial shading condition | |
| CN1119663C (en) | Analogue signal processor for magneto-optical current transformer | |
| USRE39527E1 (en) | Method and apparatus for measuring a low power signal | |
| CN210774350U (en) | Thunder and lightning optical radiation detector | |
| JP2002043610A (en) | High gain photoelectric converter | |
| CN113295257A (en) | Signal demodulation method and system for optical fiber acoustic wave sensor | |
| CN106873026A (en) | A kind of Weak Signal Detecting Circuit based on optical fiber grating earthquake detection demodulating system | |
| CN207717224U (en) | A kind of novel luminous power meter | |
| CN114812605B (en) | A method and device for suppressing periodic pulse error of micrometer sensor | |
| CN119165233A (en) | A measurement circuit, method and device for photocurrent of a rain sensor | |
| CN118654777B (en) | Cross-correlation coefficient compensation method, system and device based on EFPI-FBG coupled spectrum | |
| CN102664604A (en) | Combined filtering algorithm for improving denoising performances of fiber grating sensor network demodulating systems | |
| CN210322006U (en) | Single-photodiode-based variable spectral response solid-state photodetector |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |