[go: up one dir, main page]

CN118584391B - A bidirectional DC power supply ripple monitoring system and method based on measuring electrical variables - Google Patents

A bidirectional DC power supply ripple monitoring system and method based on measuring electrical variables Download PDF

Info

Publication number
CN118584391B
CN118584391B CN202411076765.3A CN202411076765A CN118584391B CN 118584391 B CN118584391 B CN 118584391B CN 202411076765 A CN202411076765 A CN 202411076765A CN 118584391 B CN118584391 B CN 118584391B
Authority
CN
China
Prior art keywords
signal
ripple
frequency
power supply
conditioning circuit
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.)
Active
Application number
CN202411076765.3A
Other languages
Chinese (zh)
Other versions
CN118584391A (en
Inventor
张国兴
耿传勇
夏景柱
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shandong Bos Energy Technology Co ltd
Original Assignee
Shandong Bos Energy Technology Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shandong Bos Energy Technology Co ltd filed Critical Shandong Bos Energy Technology Co ltd
Priority to CN202411076765.3A priority Critical patent/CN118584391B/en
Publication of CN118584391A publication Critical patent/CN118584391A/en
Application granted granted Critical
Publication of CN118584391B publication Critical patent/CN118584391B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/40Testing power supplies
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/25Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/40Arrangements for reducing harmonics

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of Current Or Voltage (AREA)

Abstract

本发明涉及双向直流电源纹波监测技术领域,具体地说,涉及一种基于测量电变量的双向直流电源纹波监测系统及方法。其包括:电源检测模块通过传感器检测并捕捉双向直流电源输出端的电压和电流信号,电压和电流信号包括直流分量和交流的纹波分量;信号调理模块通过信号调理电路对传感器输出的信号进行放大、滤波和转换处理;数据分析模块对信号调理电路输出的数据执行数字信号处理算法DSP,计算纹波的系数、幅度、频率;报警模块通过阈值算法对纹波进行报警处理。本发明设计采用信号调理电路中的放大器、滤波器、模数转换器ADC不仅提高了纹波监测系统的性能,还增强了系统的稳定性和响应能力,提供了精确和可靠的电变量监测。

The present invention relates to the technical field of bidirectional DC power supply ripple monitoring, and specifically, to a bidirectional DC power supply ripple monitoring system and method based on measuring electrical variables. It includes: a power supply detection module detects and captures the voltage and current signals at the output end of the bidirectional DC power supply through a sensor, and the voltage and current signals include a DC component and an AC ripple component; a signal conditioning module amplifies, filters and converts the signal output by the sensor through a signal conditioning circuit; a data analysis module executes a digital signal processing algorithm DSP on the data output by the signal conditioning circuit to calculate the coefficient, amplitude and frequency of the ripple; and an alarm module performs alarm processing on the ripple through a threshold algorithm. The design of the present invention uses amplifiers, filters, and analog-to-digital converters ADC in the signal conditioning circuit to not only improve the performance of the ripple monitoring system, but also enhance the stability and responsiveness of the system, and provide accurate and reliable electrical variable monitoring.

Description

Bidirectional direct-current power supply ripple monitoring system and method based on measured electric variable
Technical Field
The invention relates to the technical field of bidirectional direct current power supply ripple monitoring, in particular to a bidirectional direct current power supply ripple monitoring system and method based on measurement electric variables.
Background
In the traditional measurement of the electrical variable, unmonitored ripples may cause the reduction of the power supply conversion efficiency, increase the energy waste, the ripples affect the stability of the output voltage and the current, may cause the fluctuation of the load performance, affect the user experience and the system function, the weak signals output by the sensor may be submerged by noise, cause signal distortion, affect the accuracy of ripple measurement, fail to accurately calculate the frequency components of the ripples, affect the diagnosis and optimization of the power supply quality problem, lack data processing and analysis, and the acquired signal data may not reflect the real ripple condition, thereby causing erroneous decision or fault judgment; accordingly, a bi-directional DC power supply ripple monitoring system and method based on measuring an electrical variable is provided.
Disclosure of Invention
The invention aims to provide a bidirectional direct current power supply ripple monitoring system and method based on measurement electric variables, which are used for solving the problems of low ripple detection accuracy, noise interference and signal distortion in the background technology.
To achieve the above object, in one aspect, the present invention provides a bidirectional dc power supply ripple monitoring system based on measuring an electrical variable, including:
The power supply detection module detects and captures voltage and current signals of the output end of the bidirectional direct current power supply through a sensor, wherein the voltage and current signals comprise direct current components and alternating current ripple components;
The signal conditioning module is used for amplifying, filtering and converting signals output by the sensor through the signal conditioning circuit, amplifying the signals through dynamically adjusting the gain of an amplifier in the signal conditioning circuit, and optimizing the dynamically adjusted gain through increasing the dynamic range, the noise level and the system bandwidth limiting parameters of the signals;
the data analysis module executes a digital signal processing algorithm DSP on the data output by the signal conditioning circuit, and calculates coefficients, amplitudes and frequencies of the ripple waves;
And the alarm module is used for carrying out alarm processing on the ripple waves through a threshold algorithm.
As a further improvement of the technical scheme, the signal conditioning module comprises an amplifying unit, a filtering unit and a converting unit;
the amplifying unit amplifies the micro signal output by the sensor through an operational amplifier in the signal conditioning circuit;
The filtering unit removes noise and interference in the signal through a low-pass filter in the signal conditioning circuit;
the conversion unit converts the continuous analog signal into a digital signal through an analog-to-digital converter ADC in the signal conditioning circuit.
As a further improvement of the technical scheme, the amplifying unit amplifies the micro signal output by the sensor through an operational amplifier in the signal conditioning circuit, and the method comprises the following steps:
S3.1, selecting an inverting amplifier and designing an amplifying circuit;
S3.2, calculating the required gain according to the required output signal amplitude and the output signal amplitude of the sensor WhereinRepresenting the resistance of the feedback resistor,Representing an input resistance, dynamically adjusting the gain of the amplifier, and optimizing the dynamically adjusted gain by introducing dynamic range, noise level and system bandwidth limiting parameters of the signal;
the optimized gain formula is:
Wherein, Indicating that the gain after the adjustment is to be made,Representing the gain adjustment factor, which determines the speed and magnitude of the gain adjustment,Representing the dynamic range adaptation coefficient of the signal,Representing the signal noise suppression coefficient(s),Representing the system bandwidth adaptation coefficient(s),Which is indicative of the target power level,Representing the power level of the current signal;
and S3.3, amplifying the signal by the gain value of the amplifier.
As a further improvement of the present technical solution, in S3.2, the dynamic adjustment gain specifically includes:
Wherein, Indicating that the gain after the adjustment is to be made,The gain adjustment coefficient is represented as such,Which is indicative of the target power level,Representing the power level of the current signal.
As a further improvement of the present technical solution, the filtering unit removes noise and interference in a signal through a low-pass filter in a signal conditioning circuit, and includes the following steps:
s4.1, determining the highest frequency component Q of the signal and the suppressed noise frequency V;
s4.2, selecting an RC filter, and calculating the resistance and capacitance values of the filter;
S4.3, calculating the values of the resistance and the capacitance of the filter for meeting the required cut-off frequency Wherein, the method comprises the steps of, wherein,Is the value of the electrical resistance,Is a capacitance value;
s4.4, connecting the resistor and the capacitor to construct an RC filter circuit according to the calculated resistor and capacitor values;
s4.5, after construction is completed, an oscilloscope is used for checking the frequency response of the filter, so that high-frequency noise and interference of the signal are effectively restrained, and the low-frequency component of the signal is reserved.
As a further improvement of the present technical solution, the conversion unit converts a continuous analog signal into a digital signal through an analog-to-digital converter ADC in the signal conditioning circuit, and includes the following steps:
S5.1, sampling signals, and discretizing continuous analog signals in time;
S5.2, after sampling, converting the analog voltage value of each sampling point into a digital value, dividing a continuous voltage range into a limited number of discrete levels in a quantization process, wherein each level corresponds to a digital code word;
s5.3, the quantized signal is encoded into a digital sequence, and binary encoding is usually used;
s5.4, outputting the coded digital signal by an analog-to-digital converter.
As a further improvement of the technical scheme, the data analysis module executes a digital signal processing algorithm DSP on the data output by the signal conditioning circuit, calculates coefficients, amplitudes and frequencies of the ripple waves, and comprises the following steps:
s6.1, preprocessing data;
s6.2, segmenting the signals for multiple times, carrying out fast Fourier transform on the signals of each segment, superposing the frequency spectrums obtained by all the fast Fourier transforms through a phase superposition method, and dividing the frequency spectrums by the total segmented sampling number for identifying the ripple frequency and the harmonic waves thereof;
s6.3, calculating the ripple coefficient
Wherein, Representing the effective value of the ripple voltage,Representing the effective value of the direct voltage;
The ripple amplitude is the peak value of the signal in the fast Fourier transform result;
the ripple frequency is the frequency corresponding to the largest peak in the fast fourier transform result.
As a further improvement of the present technical solution, in S6.3, the effective value of the ripple voltage and the effective value of the dc voltage are specifically:
Effective value of ripple voltage The method comprises the following steps:
Wherein, Representing the number of samples from which the ripple is separated from the signal;
Effective value of DC voltage The method comprises the following steps:
Wherein, Representing the number of samples from which the dc component is separated from the signal,Represent the firstAverage of the individual samples.
As a further improvement of the technical scheme, the alarm module carries out alarm processing on the ripple wave through a threshold algorithm, and the method comprises the following steps:
s7.1, setting a threshold value a of a ripple coefficient, a threshold value b of ripple amplitude and a threshold value c of ripple frequency;
S7.2, comparing the monitored ripple coefficient with a threshold value a of a set ripple coefficient, comparing the monitored ripple amplitude with a threshold value b of the set ripple amplitude, comparing the monitored ripple frequency with a threshold value c of the set ripple frequency, and if the ripple coefficient, the amplitude and the frequency exceed the respective set threshold values, indicating that the ripple output by the power supply exceeds an allowable range;
and S7.3, when the ripple coefficient, amplitude and frequency exceed set thresholds, the alarm system gives out an audible warning.
On the other hand, the invention provides a bidirectional direct current power supply ripple monitoring method based on the measured electric variable, which is based on the bidirectional direct current power supply ripple monitoring system based on the measured electric variable, and comprises the following steps:
S8.1, detecting and capturing voltage and current signals of the output end of the bidirectional direct current power supply through a sensor;
s8.2, amplifying, filtering and converting signals output by the sensor through a signal conditioning circuit;
S8.3, calculating ripple coefficients, amplitudes and frequencies in output data of the signal conditioning circuit through a digital signal processing algorithm DSP;
and S8.4, adopting a threshold algorithm to alarm the ripple exceeding the threshold.
Compared with the prior art, the invention has the beneficial effects that:
1. In the bidirectional DC power supply ripple monitoring system and method based on the measurement of the electric variable, the operational amplifier in the signal conditioning circuit amplifies the signal output by the sensor, so that the signal quality is improved, the signal integrity is kept, the high-frequency noise and interference in the signal are removed by the low-pass filter, the ripple characteristic is kept, the signal to noise ratio of the signal is improved, the ripple characteristic is more obvious, the analog signal is converted into the digital signal by the analog-to-digital converter ADC, the basis is provided for the subsequent digital signal processing and analysis, the high-resolution ADC can provide more accurate digital representation, the ripple monitoring precision is improved, the performance of the ripple monitoring system is improved, the stability and the response capability of the system are also enhanced, and the accurate and reliable electric variable monitoring is provided.
2. In the bidirectional DC power supply ripple monitoring system and method based on the measurement of the electric variable, the DSP can accurately calculate the characteristic parameters of the ripple, including the coefficient, the amplitude and the frequency of the ripple, which is helpful for more accurately identifying and positioning the problems in the power supply system, the DSP algorithm can be implemented to monitor the characteristic of the ripple in real time, find abnormality in time, accurately analyze the ripple through the digital signal processing algorithm, and improve the performance of the monitoring and control system.
Drawings
FIG. 1 is an overall flow diagram of the present invention;
The meaning of each reference sign in the figure is:
1. A power supply detection module; 2. a signal conditioning module; 3. a data analysis module; 4. and an alarm module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
referring to fig. 1, a bidirectional dc power supply ripple monitoring system based on measuring an electrical variable is provided, which includes:
the power supply detection module 1 detects and captures voltage and current signals of the output end of the bidirectional direct current power supply through a sensor, wherein the voltage and current signals comprise direct current components and alternating current ripple components;
in the present embodiment, the direct current component is obtained by calculating the average value of the signal, which is a stable portion of the signal over a period of time, and the alternating current ripple is a high-frequency fluctuation superimposed on the direct current component, whose frequency composition is analyzed by subtracting the direct current component from the signal and then performing fourier transform (FFT).
The signal conditioning module 2 amplifies, filters and converts the signal output by the sensor through the signal conditioning circuit;
In this embodiment, the signal conditioning module 2 includes an amplifying unit, a filtering unit, and a converting unit;
The amplifying unit amplifies the tiny signal output by the sensor through an operational amplifier in the signal conditioning circuit so as to enhance the tiny signal;
The filtering unit removes noise and interference in the signal through a low-pass filter in the signal conditioning circuit;
The conversion unit converts the continuous analog signals into digital signals through an analog-to-digital converter ADC in the signal conditioning circuit so as to facilitate subsequent digital signal processing;
further, an amplifying unit amplifies a minute signal output from a sensor through an operational amplifier in a signal conditioning circuit, the operational amplifier having a very high open loop gain, which means that even minute signal variations can be amplified to a significant level, which can achieve very high gain accuracy, a modern operational amplifier is generally designed to have very low noise, which is very important when amplifying a minute signal because it can ensure that the signal-to-noise ratio of the signal is maintained at a high level, thereby improving signal quality, and an operational amplifier can achieve stable gain through a negative feedback circuit, which can maintain good performance even in the event of temperature variations or power supply fluctuations, comprising the steps of:
s3.1, selecting an inverting amplifier, designing an amplifying circuit, wherein the amplifying circuit generally comprises an input stage, an intermediate stage and an output stage, the input stage is responsible for receiving weak signals of a sensor, the intermediate stage provides gain, and the output stage provides enough driving capability to drive a subsequent circuit;
S3.2, calculating the required gain according to the required output signal amplitude and the output signal amplitude of the sensor I.e., the amplification of the signal,WhereinRepresenting the resistance of the feedback resistor,Representing an input resistance, dynamically adjusting the gain of the amplifier;
The dynamic adjustment gain formula is specifically:
Wherein, Indicating that the gain after the adjustment is to be made,The gain adjustment coefficient is represented as such,Which is indicative of the target power level,Representing the power level of the current signal;
The dynamic range of the signal, the noise level and the system bandwidth limiting parameter are increased to optimize a dynamic adjustment gain formula, wherein the system can automatically adapt to the change of the signal strength through dynamic adjustment of the gain, the definition and the accuracy of the signal can be kept no matter the signal is a weak signal or a strong signal, the influence of noise on the signal can be effectively reduced through gain optimization, the signal to noise ratio of the signal can be improved through proper gain adjustment particularly when the signal is weak, the system bandwidth limitation is considered, the dynamic adjustment of the gain can ensure that the signal can be effectively transmitted in the available bandwidth, the bandwidth waste or the signal overflow is avoided, the signal quality and the system resource can be balanced through adjustment of the gain, the optimal signal transmission effect can be ensured under the limited bandwidth, the dynamic characteristics under different signal conditions can be better adapted, and the power consumption and the system response speed can be reasonably controlled on the premise of ensuring the signal quality;
the optimized gain formula is optimized as follows:
Wherein, Indicating that the gain after the adjustment is to be made,Representing the gain adjustment factor, which determines the speed and magnitude of the gain adjustment,Representing the dynamic range adaptation coefficient of the signal,Representing the signal noise suppression coefficient(s),Representing the system bandwidth adaptation coefficient(s),Which is indicative of the target power level,Representing the power level of the current signal;
In the formula, The dynamic range of the signal is represented,Representing a dynamic range sensitivity coefficient; Representing the noise sensitivity coefficient of the device, Representing noise level; Representing the current system bandwidth of the system, Representing the maximum band of the system;
In this embodiment, the gain of the amplifier is adjusted according to the real-time signal characteristic specifically as follows:
S3.21 measuring dynamic Range of Signal in real time Using Signal processing techniques Noise levelBroadband of systemCalculating the power level of the current signalAnd a target power level
S3.22, setting gain adjustment coefficientThe coefficients need to be determined experimentally to ensure the stability of the system;
s3.23, calculating a new gain formula according to the measurement result and the optimized gain formula Generating a control signal to adjust the gain of the variable resistor;
the generation of a control signal to adjust the gain of the variable resistor is specifically:
Using an analogue controlled variable resistor instead of Or (b)The resistance of the variable resistor is controlled by an analog signal, and the gain is changed.
And S3.3, amplifying the signal by the gain value of the amplifier.
Further, the filtering unit removes noise and interference in the signal through a low-pass filter in the signal conditioning circuit, the main function of the low-pass filter is to allow the signal below a certain cut-off frequency to pass, and attenuate or block the signal above the cut-off frequency, which makes the low-pass filter very suitable for removing high-frequency noise, the noise and interference removal can significantly improve the signal-to-noise ratio (SNR) of the signal, the high SNR means that the signal is clearer and easier to process and interpret, and the low-pass filter can protect the sensitive circuit from noise by removing the high-frequency noise, so as to avoid possible misoperation or damage, comprising the following steps:
s4.1 determining the highest frequency component Q of the signal and the suppressed noise frequency V, the highest frequency component of the signal being below the cut-off frequency of the filter The noise frequency should be higher than the cut-off frequency of the filter
S4.2, selecting an RC (resistance-capacitance) filter, and calculating the resistance and capacitance values of the filter to meet the required cut-off frequency and attenuation rate;
S4.3, calculating the values of the resistance and the capacitance of the filter for meeting the required cut-off frequency Wherein, the method comprises the steps of, wherein,Is the value of the electrical resistance,Is the capacitance value by adjustingAndCan set the cut-off frequency of the filterEnsuring that it is between the highest frequency component Q of the signal and the noise frequency V;
S4.4, connecting the resistor and the capacitor to construct an RC filter circuit according to the calculated resistor and capacitor values; typically, the signal passes through a series resistor and then connects with a parallel capacitor to form a basic RC low pass filter;
s4.5, after construction is completed, an oscilloscope is used for checking the frequency response of the filter, so that high-frequency noise and interference of the signal are effectively restrained, and the low-frequency component of the signal is reserved.
Further, the conversion unit converts continuous analog signals into digital signals through the analog-to-digital converter ADC in the signal conditioning circuit, the digital signals are less susceptible to noise and interference than the analog signals, because their states are generally discrete, either 0 or 1, which makes the digital signals more stable in transmission and storage processes, reduces the risk of signal distortion, the digital signals can be easily transmitted through a network without distance limitation, and occupies relatively less space in storage, and is convenient to manage and retrieve, comprising the steps of:
S5.1, sampling the signal, discretizing continuous analog signals in time, namely, capturing the signal instantaneously at a series of fixed time points (sampling moments), wherein at each sampling moment, an ADC captures an instantaneous value of the signal, the value reflects the voltage or current of the signal at that moment, and the sampling frequency is at least twice the highest frequency component of the signal so as to avoid aliasing effect;
S5.2, after sampling, converting the analog voltage value of each sampling point into a digital value, dividing a continuous voltage range into a limited number of discrete levels in a quantization process, wherein each level corresponds to a digital code word;
s5.3, the quantized signal is encoded into a digital sequence, and binary encoding is usually used, wherein the encoding is used for facilitating storage, transmission and processing of the digital signal;
S5.4, the coded digital signal is output by an analog-to-digital converter and can be in parallel or serial format.
The data analysis module 3 executes a digital signal processing algorithm DSP on the data output by the signal conditioning circuit, and calculates coefficients, amplitudes and frequencies of ripples;
In this embodiment, the data analysis module 3 performs a digital signal processing algorithm DSP on the data output by the signal conditioning circuit, and calculates coefficients, amplitudes and frequencies of the ripple, where the digital signal processing algorithm can provide higher precision than analog processing, and can accurately calculate frequency components of the ripple using Fast Fourier Transform (FFT), so as to obtain more accurate ripple coefficients and amplitude information, which can be easily adjusted to adapt to different signal characteristics and analysis requirements, and where the digital signal processing algorithm can extract valuable ripple information from complex signals output by the signal conditioning circuit, including the following steps:
s6.1, preprocessing the data, removing offset, filtering high-frequency noise or carrying out proper window function weighting so as to reduce boundary effect;
S6.2, segmenting signals for multiple times, carrying out fast Fourier transform on the signals of each segment, superposing frequency spectrums obtained by all the fast Fourier transforms through a phase superposition method, dividing the frequency spectrums by the total segmented sampling quantity, and identifying ripple frequencies and harmonics thereof, so that the random noise level in the frequency spectrums is reduced, the signal to noise ratio is improved, and the frequency resolution is indirectly improved;
s6.3, calculating the ripple coefficient
Wherein, Representing the effective value of the ripple voltage,Representing the effective value of the direct voltage;
further, the effective value of the calculated ripple voltage is specifically:
s6.31, calculating an average value of the digital signal samples obtained by the converter ADC, which generally represents the DC component in the signal, subtracting the average value from each sample value to eliminate the DC component, and leaving only the ripple part;
s6.32 for each sample value Calculating the square thereofSumming the squares of all the sample values to obtain a total sum of squares
S6.33, dividing by the number of samplesTo obtain the average square value
S6.34 effective value of ripple voltageThis value gives the energy level of the undulating portion, which can be used to quantify the size of the ripple;
The effective value of the direct current voltage is specifically:
Wherein, Representing the number of samples from which the dc component is separated from the signal,Represent the firstAverage of the individual samples;
The ripple amplitude is the peak value of the signal in the fast Fourier transform result, namely the difference between the maximum amplitude and the minimum amplitude of ripple frequency components;
The ripple frequency is the frequency corresponding to the largest peak in the fast fourier transform result, i.e., the most significant frequency component.
The alarm module 4 carries out alarm processing on the ripple wave through a threshold algorithm;
In this embodiment, the alarm module 4 alarms the ripple by means of a threshold algorithm, which is generally simple and computationally small, meaning that they can react quickly to signal changes, very efficient for situations requiring immediate alarms, once the threshold setting is completed, the system will be very stable and predictable unless the environmental conditions change, which contributes to maintaining the long-term reliability of the system, comprising the steps of:
s7.1, setting a threshold value a of a ripple coefficient, a threshold value b of ripple amplitude and a threshold value c of ripple frequency, wherein the threshold value is a standard for judging whether the ripple exceeds a normal range;
S7.2, comparing the monitored ripple coefficient with a threshold value a of a set ripple coefficient, comparing the monitored ripple amplitude with a threshold value b of the set ripple amplitude, comparing the monitored ripple frequency with a threshold value c of the set ripple frequency, and if the ripple coefficient, the amplitude and the frequency exceed the respective set threshold values, indicating that the ripple output by the power supply exceeds an allowable range;
and S7.3, when the ripple coefficient, amplitude and frequency exceed set thresholds, the alarm system gives out an audible warning.
Example 2:
the difference between the embodiment 2 and the embodiment 1 of the present invention is that the embodiment describes a static mechanical property acquisition and analysis method used by a bidirectional direct current power supply ripple monitoring system based on measurement electric variables.
The bidirectional direct current power supply ripple monitoring method based on the measured electric variable is based on the bidirectional direct current power supply ripple monitoring system based on the measured electric variable, and comprises the following steps:
S8.1, detecting and capturing voltage and current signals of the output end of the bidirectional direct current power supply through a sensor;
s8.2, amplifying, filtering and converting signals output by the sensor through a signal conditioning circuit;
S8.3, calculating ripple coefficients, amplitudes and frequencies in output data of the signal conditioning circuit through a digital signal processing algorithm DSP;
and S8.4, adopting a threshold algorithm to alarm the ripple exceeding the threshold.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed.

Claims (6)

1.一种基于测量电变量的双向直流电源纹波监测系统,其特征在于,包括:1. A bidirectional DC power supply ripple monitoring system based on measuring electrical variables, characterized by comprising: 电源检测模块(1),所述电源检测模块(1)通过传感器检测并捕捉双向直流电源输出端的电压和电流信号,电压和电流信号包括直流分量和交流的纹波分量;A power supply detection module (1), the power supply detection module (1) detects and captures voltage and current signals at an output end of a bidirectional DC power supply through a sensor, the voltage and current signals comprising a DC component and an AC ripple component; 信号调理模块(2),所述信号调理模块(2)通过信号调理电路对传感器输出的信号进行放大、滤波和转换处理,通过动态调整信号调理电路中放大器的增益对信号进行放大,并通过增加信号的动态范围、噪声水平和系统带宽限制参数优化动态调整增益;A signal conditioning module (2), wherein the signal conditioning module (2) amplifies, filters and converts the signal output by the sensor through a signal conditioning circuit, amplifies the signal by dynamically adjusting the gain of an amplifier in the signal conditioning circuit, and dynamically adjusts the gain by increasing the dynamic range of the signal, the noise level and the system bandwidth limit parameter optimization; 所述信号调理模块(2)包括放大单元、滤波单元、转换单元;The signal conditioning module (2) comprises an amplification unit, a filtering unit, and a conversion unit; 其中,放大单元通过信号调理电路中的运算放大器将传感器输出的微小信号放大;Among them, the amplification unit amplifies the tiny signal output by the sensor through the operational amplifier in the signal conditioning circuit; 滤波单元通过信号调理电路中的低通滤波器去除信号中的噪声和干扰;The filtering unit removes noise and interference from the signal through a low-pass filter in the signal conditioning circuit; 转换单元通过信号调理电路中的模数转换器ADC将连续的模拟信号转换为数字信号;The conversion unit converts the continuous analog signal into a digital signal through the analog-to-digital converter ADC in the signal conditioning circuit; 数据分析模块(3),所述数据分析模块(3)对信号调理电路输出的数据执行数字信号处理算法DSP,计算纹波的系数、幅度、频率;A data analysis module (3), wherein the data analysis module (3) executes a digital signal processing algorithm DSP on the data output by the signal conditioning circuit to calculate the coefficient, amplitude and frequency of the ripple; 报警模块(4),所述报警模块(4)通过阈值算法对纹波进行报警处理;An alarm module (4), wherein the alarm module (4) performs alarm processing on the ripple through a threshold algorithm; 所述放大单元通过信号调理电路中的运算放大器将传感器输出的微小信号放大,包括以下步骤:The amplification unit amplifies the tiny signal output by the sensor through an operational amplifier in the signal conditioning circuit, and includes the following steps: S3.1、选择反向放大器,设计放大电路;S3.1. Select a reverse amplifier and design an amplifier circuit; S3.2、根据所需的输出信号幅度和传感器的输出信号幅度,计算所需的增益,其中表示反馈电阻,表示输入电阻,动态调整放大器的增益,并通过引入信号的动态范围、噪声水平和系统带宽限制参数优化动态调整增益;S3.2. Calculate the required gain based on the required output signal amplitude and the output signal amplitude of the sensor , ,in represents the feedback resistor, Represents input resistance, dynamically adjusts the gain of the amplifier, and optimizes the dynamically adjusted gain by introducing signal dynamic range, noise level and system bandwidth limitation parameters; 则优化后的增益公式为:The optimized gain formula is: ; 其中,表示调整后的增益,表示增益调整系数,表示信号动态范围适应系数,表示信号噪声抑制系数,表示系统带宽适应系数,表示目标功率水平,表示当前信号的功率水平;in, represents the adjusted gain, represents the gain adjustment coefficient, represents the signal dynamic range adaptation coefficient, represents the signal noise suppression coefficient, represents the system bandwidth adaptation coefficient, represents the target power level, Indicates the power level of the current signal; S3.3、通过放大器的增益值对信号进行放大;S3.3, amplifying the signal by the gain value of the amplifier; 所述数据分析模块(3)对信号调理电路输出的数据执行数字信号处理算法DSP,计算纹波的系数、幅度、频率,包括以下步骤:The data analysis module (3) executes a digital signal processing algorithm DSP on the data output by the signal conditioning circuit to calculate the coefficient, amplitude and frequency of the ripple, including the following steps: S6.1、对数据进行预处理;S6.1. Preprocess the data; S6.2、将信号分段多次采样并对每段的信号都进行快速傅里叶变换,对所有快速傅里叶变换得到的频谱通过相向叠加法进行叠加然后除以总的分段采样数量,用于识别纹波频率及其谐波;S6.2, sampling the signal in segments for multiple times and performing fast Fourier transform on the signal of each segment, superimposing all the frequency spectra obtained by fast Fourier transform by the phase superposition method and then dividing by the total number of segment sampling to identify the ripple frequency and its harmonics; S6.3、计算纹波系数S6.3. Calculation of ripple factor : ; 其中,表示纹波电压的有效值,表示直流电压的有效值;in, Represents the effective value of the ripple voltage, Indicates the effective value of DC voltage; 波纹幅度为快速傅里叶变换结果中信号的峰值;The ripple amplitude is the peak value of the signal in the fast Fourier transform result; 波纹频率为快速傅里叶变换结果中最大峰值对应的频率。The ripple frequency is the frequency corresponding to the maximum peak in the fast Fourier transform result. 2.根据权利要求1所述的基于测量电变量的双向直流电源纹波监测系统,其特征在于:所述滤波单元通过信号调理电路中的低通滤波器去除信号中的噪声和干扰,包括以下步骤:2. The bidirectional DC power supply ripple monitoring system based on measuring electrical variables according to claim 1 is characterized in that: the filtering unit removes noise and interference in the signal through a low-pass filter in the signal conditioning circuit, comprising the following steps: S4.1、确定信号的最高频率成分Q和抑制的噪声频率V;S4.1. Determine the highest frequency component Q of the signal and the suppressed noise frequency V; S4.2、选择RC滤波器,计算滤波器的电阻和电容值;S4.2. Select the RC filter and calculate the resistance and capacitance values of the filter; S4.3、计算滤波器的电阻和电容的值,用于满足所需的截止频率,其中,是电阻值,是电容值;S4.3. Calculate the values of the filter's resistance and capacitance to meet the required cutoff frequency : ,in, is the resistance value, is the capacitance value; S4.4、根据计算出的电阻和电容的值,连接电阻和电容构建RC滤波器电路;S4.4, according to the calculated values of resistance and capacitance, connect the resistance and capacitance to construct an RC filter circuit; S4.5、完成构建后,使用示波器检查滤波器的频率响应,用于确保信号的高频噪声和干扰被有效抑制,而信号的低频成分得以保留。S4.5. After the construction is completed, use an oscilloscope to check the frequency response of the filter to ensure that the high-frequency noise and interference of the signal are effectively suppressed while the low-frequency components of the signal are retained. 3.根据权利要求2所述的基于测量电变量的双向直流电源纹波监测系统,其特征在于:所述转换单元通过信号调理电路中的模数转换器ADC将连续的模拟信号转换为数字信号,包括以下步骤:3. The bidirectional DC power supply ripple monitoring system based on measuring electrical variables according to claim 2 is characterized in that: the conversion unit converts the continuous analog signal into a digital signal through an analog-to-digital converter ADC in a signal conditioning circuit, comprising the following steps: S5.1、对信号进行采样,将连续的模拟信号在时间上离散化;S5.1. Sample the signal to discretize the continuous analog signal in time; S5.2、采样后,将每个采样点的模拟电压值转换为数字值,量化过程将连续的电压范围分割成有限数量的离散等级,每个等级对应一个数字码字;S5.2, after sampling, the analog voltage value of each sampling point is converted into a digital value, and the quantization process divides the continuous voltage range into a finite number of discrete levels, each level corresponding to a digital codeword; S5.3、量化后的信号被编码为数字序列;S5.3, the quantized signal is encoded into a digital sequence; S5.4、编码后的数字信号由模数转换器输出。S5.4. The encoded digital signal is output by the analog-to-digital converter. 4.根据权利要求3所述的基于测量电变量的双向直流电源纹波监测系统,其特征在于:所述S6.3中,纹波电压的有效值和直流电压的有效值具体为:4. The bidirectional DC power supply ripple monitoring system based on measuring electrical variables according to claim 3 is characterized in that: in S6.3, the effective value of the ripple voltage and the effective value of the DC voltage are specifically: 纹波电压的有效值为:Ripple voltage effective value for: ; 其中,表示从信号中分离出纹波的样本数量;in, Indicates the number of samples to separate the ripple from the signal; 直流电压的有效值为:Effective value of DC voltage for: ; 其中,表示从信号中分离出直流分量的样本数量,表示第个样本的平均值。in, represents the number of samples to separate the DC component from the signal, Indicates The average value of samples. 5.根据权利要求4所述的基于测量电变量的双向直流电源纹波监测系统,其特征在于:所述报警模块(4)通过阈值算法对纹波进行报警处理,包括以下步骤:5. The bidirectional DC power supply ripple monitoring system based on measuring electrical variables according to claim 4, characterized in that: the alarm module (4) performs alarm processing on the ripple through a threshold algorithm, comprising the following steps: S7.1、设定波纹系数的阈值a,波纹幅度的阈值b,波纹频率的阈值c;S7.1. Set the threshold a of the ripple coefficient, the threshold b of the ripple amplitude, and the threshold c of the ripple frequency; S7.2、将监测到的纹波系数与设定的波纹系数的阈值a进行比较,将监测到的波纹幅度与设定的波纹幅度的阈值b进行比较,将监测到的纹波频率与设定的波纹频率的阈值c进行比较,如果纹波系数、幅度、频率超出各自设定的阈值,表示电源输出的纹波超出了允许的范围;S7.2. Compare the monitored ripple coefficient with the set ripple coefficient threshold a, compare the monitored ripple amplitude with the set ripple amplitude threshold b, and compare the monitored ripple frequency with the set ripple frequency threshold c. If the ripple coefficient, amplitude, and frequency exceed their respective set thresholds, it means that the ripple output by the power supply exceeds the allowable range; S7.3、当纹波系数、幅度、频率超过设定的阈值时,报警系统发出听觉警告。S7.3. When the ripple coefficient, amplitude, or frequency exceeds the set threshold, the alarm system will issue an audible warning. 6.一种基于测量电变量的双向直流电源纹波监测方法,基于权利要求1-5中任意一项所述的基于测量电变量的双向直流电源纹波监测系统,其特征在于,包括如下步骤:6. A bidirectional DC power supply ripple monitoring method based on measuring electrical variables, based on the bidirectional DC power supply ripple monitoring system based on measuring electrical variables according to any one of claims 1 to 5, characterized in that it comprises the following steps: S8.1、通过传感器检测并捕捉双向直流电源输出端的电压和电流信号;S8.1, detecting and capturing voltage and current signals at the output end of the bidirectional DC power supply through a sensor; S8.2、通过信号调理电路对传感器输出的信号进行放大、滤波和转换处理;S8.2, amplifying, filtering and converting the signal output by the sensor through the signal conditioning circuit; S8.3、通过数字信号处理算法DSP计算信号调理电路输出数据中的纹波系数、幅度、频率;S8.3, calculating the ripple coefficient, amplitude and frequency in the output data of the signal conditioning circuit by using a digital signal processing algorithm DSP; S8.4、采用阈值算法对超出阈值的纹波进行报警处理。S8.4. Use the threshold algorithm to perform alarm processing on ripples that exceed the threshold.
CN202411076765.3A 2024-08-07 2024-08-07 A bidirectional DC power supply ripple monitoring system and method based on measuring electrical variables Active CN118584391B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202411076765.3A CN118584391B (en) 2024-08-07 2024-08-07 A bidirectional DC power supply ripple monitoring system and method based on measuring electrical variables

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202411076765.3A CN118584391B (en) 2024-08-07 2024-08-07 A bidirectional DC power supply ripple monitoring system and method based on measuring electrical variables

Publications (2)

Publication Number Publication Date
CN118584391A CN118584391A (en) 2024-09-03
CN118584391B true CN118584391B (en) 2024-11-12

Family

ID=92527022

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202411076765.3A Active CN118584391B (en) 2024-08-07 2024-08-07 A bidirectional DC power supply ripple monitoring system and method based on measuring electrical variables

Country Status (1)

Country Link
CN (1) CN118584391B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN119001307A (en) * 2024-10-21 2024-11-22 中汽研新能源汽车检验中心(天津)有限公司 Method, device and equipment for testing whole vehicle corrugation of electric vehicle
CN119148006B (en) * 2024-11-15 2025-02-07 北京智慧大王科技有限公司 Ripple testing method and system for high-voltage power supply
CN119272692B (en) * 2024-12-06 2025-04-15 国网浙江省电力有限公司丽水供电公司 Optimization method and system for electric power equipment tilt monitoring device based on low power consumption
CN119335433B (en) * 2024-12-23 2025-06-03 山东博纳电气有限公司 DC power supply aging test method, device and system

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104422899A (en) * 2013-09-05 2015-03-18 上海龙创节能系统股份有限公司 Monitoring device applied to high-power direct-current power-supply system
CN109583014A (en) * 2018-10-19 2019-04-05 广东电网有限责任公司电力调度控制中心 DC voltage ripple factor calculation method and system based on fault recorder data

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2456171Y (en) * 2000-12-18 2001-10-24 无锡市斯达自控设备厂 On line ripple determiner
US6750713B1 (en) * 2003-01-14 2004-06-15 Sharp Corporation Variable gain amplifier
CN103187940B (en) * 2011-12-28 2016-08-24 国民技术股份有限公司 A kind of programmable amplifier and a kind of receiver
KR101316972B1 (en) * 2012-05-04 2013-10-11 청주대학교 산학협력단 Circuit for sensing life time of switching power supply
CN103973246A (en) * 2014-04-04 2014-08-06 嘉兴禾润电子科技有限公司 Low-noise transimpedance amplifier for optical receiver
US10641837B2 (en) * 2015-11-30 2020-05-05 Linear Technology Corporation Ripple monitoring
CN205920158U (en) * 2016-08-16 2017-02-01 广东电网有限责任公司茂名供电局 DC power supply AC ripple monitoring devices
US11018573B2 (en) * 2017-12-12 2021-05-25 Johnson Controls Fire Protection LP Power supply ripple detector
CN109490794A (en) * 2018-10-18 2019-03-19 湖南恩智测控技术有限公司 A kind of power supply ripple test circuit and test method
CN111077361B (en) * 2020-01-14 2025-03-21 西安深瞳智控技术有限公司 A detection device suitable for small current on laser seeker
CN118015841B (en) * 2024-04-09 2024-06-18 烟台欣飞智能系统有限公司 Urban traffic management system for cooperative processing of satellite chain low-orbit satellite signals

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104422899A (en) * 2013-09-05 2015-03-18 上海龙创节能系统股份有限公司 Monitoring device applied to high-power direct-current power-supply system
CN109583014A (en) * 2018-10-19 2019-04-05 广东电网有限责任公司电力调度控制中心 DC voltage ripple factor calculation method and system based on fault recorder data

Also Published As

Publication number Publication date
CN118584391A (en) 2024-09-03

Similar Documents

Publication Publication Date Title
CN118584391B (en) A bidirectional DC power supply ripple monitoring system and method based on measuring electrical variables
US8676521B2 (en) System and method for handling wide dynamic range signals encountered in vibration analysis using a logarithmic amplifier
JPH10511177A (en) Plant parameter detection by power spectral density monitoring
CN101201282A (en) A Fundamental Frequency Recognition Method for Cable Force Detection of Cable-Stayed Bridges
CN118278624A (en) Intelligent analysis system for electric power monitoring data based on mutual inductor
US20190329610A1 (en) Device for determining a rotational speed and a vibration of a wheel end of a vehicle
US10718810B2 (en) Power drive transistor resonance sensor
CN116884381A (en) Circuit system for microphone noise suppression
CN115656740A (en) Arc discharge detection device and method for photovoltaic inverter
CN113340369B (en) Signal processing method and device for turbine fuel mass flowmeter
WO2024036836A1 (en) Ultrasonic vibration fusion adaptive conditioning circuit and flexible module
CN104734715B (en) A kind of method for improving A/D converter resolution ratio
CN118393216A (en) Transformer core and clamp piece ground current monitoring device with reversed phase full compensation
CN111024566B (en) A method and system for calibrating mechanical wear degree based on frequency domain analysis
CN103560509B (en) Voltage sag detection device based on wavelet analysis and control method of the device
CN116930797A (en) Detection circuit of internal resistance of battery
CN107255535A (en) A kind of vibrating wire sensor frequency measuring method, device and equipment
US10432206B2 (en) Method and device for operating an analog-to-digital converter for converting a signal
CN114609435A (en) Voltage sag detection and classification identification method
CN107703464A (en) A kind of dynamic magnetic messenger processing method
RU2726275C9 (en) Method of determining liquid flow rate and vortex flow meter for its implementation
CN118688683B (en) Automatic monitoring system and method for electrical engineering
JP5071342B2 (en) Signal processing device, signal processing method, and current measurement device
CN214893474U (en) Signal processing equipment of turbine fuel mass flow meter
CN213986750U (en) Three-phase current parameter monitoring device based on empirical mode decomposition and AMR (adaptive multi-rate) technology

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
GR01 Patent grant
GR01 Patent grant