A power supply equipment performance testing method, system, and program product

By using multi-parameter dynamic fusion analysis and dynamic weight adjustment, the problem of parameter correlation not being considered in traditional power equipment performance testing methods is solved, enabling accurate evaluation and timely early warning of power equipment performance.

CN120334791BActive Publication Date: 2025-11-14YONGGUANG XINRUN (BEIJING) ELECTRONICS CO LTD
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Patent Information

Application Number
CN202510341726.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-03-21
Publication Date
2025-11-14
Estimated Expiration
2045-03-21

AI Technical Summary

Technical Problem

Traditional power supply equipment performance testing methods fail to fully consider the correlation between power supply equipment operating parameters, making it difficult to accurately reflect performance degradation under the coupling effect of multiple factors, and static thresholds cannot adapt to dynamic load changes.

Method used

A multi-parameter dynamic fusion analysis method is adopted. By collecting voltage, current, temperature and noise detection signals, the reference values ​​and weighting coefficients of voltage, current, temperature and noise are calculated. Combined with the noise frequency domain characteristics, the power supply equipment performance index is calculated to achieve a comprehensive evaluation of the power supply equipment performance.

Benefits of technology

It enables accurate and reliable evaluation of power equipment performance, improves the efficiency and accuracy of performance monitoring, and can promptly detect performance anomalies and issue early warnings.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention belongs to the field of power supply monitoring technology, specifically disclosing a power supply equipment performance testing method, system, and program product. It involves sampling and analyzing the power supply equipment's output voltage, output current, operating temperature, and operating noise parameters at the current moment to determine reference values ​​and weighting coefficients for each of the voltage, current, temperature, and noise dimensions. Then, based on the parameters of each dimension, their reference values ​​and weighting coefficients, and the noise frequency domain characteristics, a power supply equipment performance index is calculated to determine the power supply equipment's performance status and provide early warnings. This invention, based on multi-parameter dynamic fusion analysis and a dynamic weight adjustment mechanism, can fully consider the interrelationships between the monitoring data of various dimensions of the power supply equipment, accurately reflect the overall performance status of the power supply equipment, achieve comprehensive testing and evaluation of power supply equipment performance, and improve the efficiency and accuracy of power supply equipment performance monitoring.
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Description

Technical Field

[0001] This invention belongs to the field of power monitoring technology, specifically relating to a power equipment performance testing method, system, and program product. Background Technology

[0002] Power supply equipment is widely used in various industries in modern society, including household appliances, industrial equipment, and communication equipment. Because it directly affects the operational stability of the systems it's used in and user safety, rigorous power supply equipment testing is crucial. Power supply equipment testing is a vital step in ensuring the safe and reliable use of power supply equipment. Through comprehensive performance testing, potential problems with the power supply equipment can be identified.

[0003] Traditional power supply performance testing methods mostly rely on threshold judgments for single parameters (such as voltage over-limit, current over-limit, etc.), failing to fully consider the correlation between power supply operating parameters. This makes it difficult to accurately reflect performance degradation under the coupled effects of multiple factors, and static thresholds cannot adapt to dynamic load changes. Therefore, a more reliable and comprehensive power supply performance testing method is urgently needed. Summary of the Invention

[0004] The purpose of this invention is to provide a power supply device performance testing method, system, and program product to solve the above-mentioned problems existing in the prior art.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] Firstly, a method for testing the performance of power supply equipment is provided, including:

[0007] The voltage detection signal from the voltage sensor, the current detection signal from the current sensor, the temperature detection signal from the temperature sensor, and the noise detection signal from the noise sensor are collected based on the set sampling frequency at the current moment.

[0008] The output voltage parameters of the power supply equipment at the current moment are determined based on the voltage detection signal, the output current parameters of the power supply equipment at the current moment are determined based on the current detection signal, the operating temperature parameters of the power supply equipment at the current moment are determined based on the temperature detection signal, and the operating noise parameters and noise frequency domain characteristics of the power supply equipment at the current moment are determined based on the noise detection signal.

[0009] The voltage reference value is determined based on the current output current parameter and operating temperature parameter of the power supply equipment at the current moment; the current reference value is determined based on the current output voltage parameter and operating temperature parameter of the power supply equipment at the current moment; and the temperature reference value and noise reference value are determined based on the current output current parameter of the power supply equipment at the current moment.

[0010] Retrieve historical output voltage parameter sets, historical output current parameter sets, historical operating temperature parameter sets, and historical operating noise parameter sets. Determine the voltage fluctuation index based on the current output voltage parameter and the historical output voltage parameter set, the current fluctuation index based on the current output current parameter and the historical output current parameter set, the temperature fluctuation index based on the current operating temperature parameter and the historical operating temperature parameter set, and the noise fluctuation index based on the current operating noise parameter and the historical operating noise parameter set.

[0011] The voltage weighting coefficient, current weighting coefficient, temperature weighting coefficient, and noise weighting coefficient are calculated using the voltage fluctuation index, current fluctuation index, temperature fluctuation index, and noise fluctuation index.

[0012] The power supply equipment performance index is calculated using output voltage parameters, output current parameters, operating temperature parameters, operating noise parameters, noise frequency domain characteristics, voltage reference value, current reference value, temperature reference value, noise reference value, voltage weighting coefficient, current weighting coefficient, temperature weighting coefficient, and noise weighting coefficient.

[0013] The system determines whether the power supply equipment is malfunctioning based on its performance index, and outputs corresponding performance warning information when the power supply equipment is determined to be malfunctioning.

[0014] In one possible design, determining the operating noise parameters and frequency domain characteristics of the power supply device at the current moment based on the noise detection signal includes:

[0015] The noise detection signal is analyzed to determine the average amplitude parameter of the noise detection signal, and the average amplitude parameter is used as the operating noise parameter of the power supply equipment at the current moment.

[0016] The noise detection signal is subjected to wavelet transform to extract the corresponding noise frequency domain features, which contain noise energy in several frequency bands.

[0017] In one possible design, determining the voltage reference value based on the current output current parameters and operating temperature parameters of the power supply device, determining the current reference value based on the current output voltage parameters and operating temperature parameters of the power supply device, and determining the temperature reference value and noise reference value based on the current output current parameters of the power supply device include:

[0018] The current output current and operating temperature parameters of the power supply equipment are substituted into a preset voltage reference value formula to calculate the voltage reference value. The voltage reference value formula is as follows:

[0019]

[0020] Among them, V refHere, I(t) is the voltage reference value, T(t) is the output current parameter of the power supply device at the current moment, d1 is the set first characteristic coefficient, and d2 is the set second characteristic coefficient.

[0021] The current current reference value is obtained by substituting the current output voltage and operating temperature parameters of the power supply equipment into a preset current reference value formula. The current reference value formula is as follows:

[0022]

[0023] Among them, I ref d3 is the current reference value, V(t) is the output voltage parameter of the power supply device at the current moment, d3 is the set third characteristic coefficient, and d4 is the set fourth characteristic coefficient.

[0024] The current output current parameter of the power supply device is substituted into the preset temperature reference value formula and noise reference value formula respectively for calculation to obtain the temperature reference value and noise reference value. The temperature reference value formula is as follows:

[0025]

[0026] Among them, T ref Here, d5 is the set fifth characteristic coefficient, and T0 is the given initial operating temperature parameter.

[0027] The noise reference value formula is:

[0028]

[0029] Where, N ref Here, d6 is the noise reference value, d6 is the set sixth characteristic coefficient, N0 is the given initial operating noise parameter, and I... max The given maximum output current parameter.

[0030] In one possible design, the historical output voltage parameter set includes the output voltage parameters of the power supply device at several historical moments prior to the current moment; the historical output current parameter set includes the output current parameters of the power supply device at several historical moments prior to the current moment; the historical operating temperature parameter set includes the operating temperature parameters of the power supply device at several historical moments prior to the current moment; and the historical operating noise parameter set includes the operating noise parameters of the power supply device at several historical moments prior to the current moment. The process of determining a voltage fluctuation index based on the current output voltage parameter and the historical output voltage parameter set, determining a current fluctuation index based on the current output current parameter and the historical output current parameter set, determining a temperature fluctuation index based on the current operating temperature parameter and the historical operating temperature parameter set, and determining a noise fluctuation index based on the current operating noise parameter and the historical operating noise parameter set includes:

[0031] The standard deviation σ of the historical output voltage parameters is determined based on the output voltage parameters at each historical moment. V The instantaneous rate of change of voltage ΔV = dV(t) / dt is calculated based on the current output voltage parameter V(t), where t is the time parameter. The instantaneous rate of change of voltage ΔV is then divided by the standard deviation of the historical output voltage parameter σ. V The voltage fluctuation index B is obtained. V ;

[0032] The standard deviation σ of the historical output current parameters is determined based on the output current parameters at each historical moment. I The instantaneous rate of change of voltage ΔI = dI(t) / dt is calculated based on the current output voltage parameter I(t), where t is the time parameter. The instantaneous rate of change of current ΔI is divided by the standard deviation of the historical output current parameter σ. I The current fluctuation index B is obtained. I ;

[0033] The standard deviation σ of the historical operating temperature parameters is determined based on the operating temperature parameters at each historical time. T The instantaneous temperature change rate ΔT = dT(t) / dt is calculated based on the current operating temperature parameter T(t), where t is the time parameter. The instantaneous temperature change rate ΔT is then divided by the standard deviation σ of the historical operating temperature parameters. T The temperature fluctuation index B is obtained. T ;

[0034] The standard deviation σ of the historical operating noise parameters is determined based on the operating noise parameters at each historical time point. N The instantaneous rate of change of noise ΔN = dN(t) / dt is calculated based on the current operating noise parameter N(t), where t is the time parameter. The instantaneous rate of change of noise ΔN is then divided by the standard deviation of the historical operating noise parameter σ. N The noise fluctuation index B is obtained. N .

[0035] In one possible design, the calculation of voltage weighting coefficients, current weighting coefficients, temperature weighting coefficients, and noise weighting coefficients using voltage fluctuation index, current fluctuation index, temperature fluctuation index, and noise fluctuation index includes:

[0036] Voltage fluctuation index B V Current fluctuation index B I Temperature fluctuation index B T and noise fluctuation index B N Substitute them into the voltage weighting coefficient formula ω V =B V / (B V +B I +B T +B N ), Current weighting coefficient formula ω I =B I / (B V +B I +B T +B N ), temperature weighting coefficient formula ω T =B T / (B V +B I +B T +B N ) and the formula for noise weighting coefficient ω N =B N / (B V +B I +B T +B N The voltage weighting coefficient ω is obtained by calculation in ( ). V Current weighting coefficient ω I Temperature weighting coefficient ω T and noise weighting coefficient ω N .

[0037] In one possible design, the calculation of the power supply device performance index using output voltage parameters, output current parameters, operating temperature parameters, operating noise parameters, noise frequency domain characteristics, voltage reference values, current reference values, temperature reference values, noise reference values, voltage weighting coefficients, current weighting coefficients, temperature weighting coefficients, and noise weighting coefficients includes:

[0038] The output voltage parameters, output current parameters, operating temperature parameters, operating noise parameters, noise frequency domain characteristics, voltage reference values, current reference values, temperature reference values, noise reference values, voltage weighting coefficients, current weighting coefficients, temperature weighting coefficients, and noise weighting coefficients are substituted into a preset power supply equipment performance index formula for calculation to obtain the power supply equipment performance index. The power supply equipment performance index formula is as follows:

[0039]

[0040] Where X represents the power supply equipment performance index. (t) represents the noise energy in the k-th frequency band of the noise frequency domain characteristics. The base noise energy of the k-th frequency band is defined, where k represents the corresponding noise frequency band number in the noise frequency domain feature, n represents the total number of noise frequency bands in the noise frequency domain feature, and α is the set noise frequency domain energy weighting coefficient.

[0041] In one possible design, determining whether the power supply device is malfunctioning based on its performance index includes:

[0042] When the power supply device performance index exceeds the set trigger threshold, the power supply device performance is determined to be abnormal; otherwise, the power supply device performance is determined to be normal.

[0043] Secondly, a power supply equipment performance testing system is provided, comprising a signal acquisition unit, a parameter determination unit, a scale determination unit, a fluctuation judgment unit, a weight calculation unit, an exponent calculation unit, and an anomaly early warning unit, wherein:

[0044] The signal acquisition unit is used to acquire the voltage detection signal of the voltage sensor, the current detection signal of the current sensor, the temperature detection signal of the temperature sensor, and the noise detection signal of the noise sensor at the current moment based on a set sampling frequency.

[0045] The parameter determination unit is used to determine the output voltage parameters of the power supply device at the current moment based on the voltage detection signal, the output current parameters of the power supply device at the current moment based on the current detection signal, the operating temperature parameters of the power supply device at the current moment based on the temperature detection signal, and the operating noise parameters and noise frequency domain characteristics of the power supply device at the current moment based on the noise detection signal.

[0046] The reference value determination unit is used to determine the voltage reference value based on the current output current parameter and operating temperature parameter of the power supply equipment at the current moment, determine the current reference value based on the current output voltage parameter and operating temperature parameter of the power supply equipment at the current moment, and determine the temperature reference value and noise reference value based on the current output current parameter of the power supply equipment at the current moment.

[0047] The fluctuation determination unit is used to retrieve historical output voltage parameter sets, historical output current parameter sets, historical operating temperature parameter sets, and historical operating noise parameter sets, and to determine the voltage fluctuation index based on the current output voltage parameter and the historical output voltage parameter set, the current fluctuation index based on the current output current parameter and the historical output current parameter set, the temperature fluctuation index based on the current operating temperature parameter and the historical operating temperature parameter set, and the noise fluctuation index based on the current operating noise parameter and the historical operating noise parameter set.

[0048] The weighting calculation unit is used to calculate the voltage weighting coefficient, current weighting coefficient, temperature weighting coefficient, and noise weighting coefficient using the voltage fluctuation index, current fluctuation index, temperature fluctuation index, and noise fluctuation index.

[0049] The index calculation unit is used to calculate the power supply equipment performance index using output voltage parameters, output current parameters, operating temperature parameters, operating noise parameters, noise frequency domain characteristics, voltage reference value, current reference value, temperature reference value, noise reference value, voltage weighting coefficient, current weighting coefficient, temperature weighting coefficient, and noise weighting coefficient.

[0050] The abnormality warning unit is used to determine whether the power supply equipment is abnormal based on the power supply equipment performance index, and outputs corresponding performance warning information when the power supply equipment is determined to be abnormal.

[0051] Thirdly, a power supply equipment performance testing system is provided, comprising:

[0052] Memory, used to store instructions;

[0053] A processor is configured to read instructions stored in the memory and execute any of the power supply device performance testing methods described in the first aspect above, according to the instructions.

[0054] Fourthly, a computer-readable storage medium is provided, on which instructions are stored, which, when executed on a computer, cause the computer to perform any of the power supply device performance testing methods described in the first aspect. Simultaneously, a computer program product is also provided, which, when executed on a computer, performs any of the power supply device performance testing methods described in the first aspect.

[0055] Beneficial Effects: This invention integrates and analyzes the output voltage, output current, operating temperature, and operating noise parameters of a power supply device at the current moment to determine reference values ​​and weighting coefficients for each of the voltage, current, temperature, and noise dimensions. Then, based on the parameters of each dimension, their reference values ​​and weighting coefficients, and the noise frequency domain characteristics, a power supply device performance index is calculated to identify performance anomalies and provide early warnings. This enables accurate and reliable power supply device performance testing. Based on multi-parameter dynamic fusion analysis and a dynamic weighting adjustment mechanism, this invention fully considers the interrelationships between the monitoring data of various dimensions of the power supply device, accurately reflecting the overall performance status of the power supply device and achieving comprehensive testing and evaluation of power supply device performance, thus improving the efficiency and accuracy of power supply device performance monitoring. Attached Figure Description

[0056] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0057] Figure 1 This is a schematic diagram of the steps in the method of Embodiment 1 of the present invention;

[0058] Figure 2 This is a schematic diagram of the system configuration in Embodiment 2 of the present invention;

[0059] Figure 3 This is a schematic diagram of the hardware system configuration in Embodiment 3 of the present invention. Detailed Implementation

[0060] It should be noted that the descriptions of these embodiments are intended to aid in understanding the invention and do not constitute a limitation thereof. The specific structural and functional details disclosed herein are merely for describing exemplary embodiments of the invention. However, the invention may be embodied in many alternative forms and should not be construed as being limited to the embodiments described herein.

[0061] It should be understood that, unless otherwise explicitly specified and limited, the corresponding terms should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in the embodiments according to the specific circumstances.

[0062] Specific details are provided in the following description to provide a complete understanding of the exemplary embodiments. However, those skilled in the art will understand that the exemplary embodiments can be implemented without these specific details. For example, apparatus may be shown in block diagrams to avoid obscuring the examples with unnecessary details. In other embodiments, well-known processes, structures, and techniques may be omitted with non-essential details to avoid obscuring the embodiments.

[0063] Example 1:

[0064] This embodiment provides a power supply device performance testing method, which can be applied to corresponding power monitoring terminals, such as... Figure 1 As shown, the method includes the following steps:

[0065] S1. Based on the set sampling frequency, collect the voltage detection signal of the voltage sensor, the current detection signal of the current sensor, the temperature detection signal of the temperature sensor, and the noise detection signal of the noise sensor at the current moment.

[0066] In practice, voltage sensors, current sensors, temperature sensors, and noise sensors, connected to the power monitoring terminal via wired or wireless connections, can be pre-installed on the power supply equipment under test. The voltage sensors detect the output voltage of the power supply equipment, the current sensors detect the output current, the temperature sensors detect the operating temperature, and the noise sensors detect the operating noise. The power monitoring terminal can collect signals from each sensor based on a set sampling frequency, obtaining the current voltage detection signal, the current detection signal, the temperature detection signal, and the noise detection signal at the current moment.

[0067] S2. Determine the output voltage parameters of the power supply device at the current moment based on the voltage detection signal, determine the output current parameters of the power supply device at the current moment based on the current detection signal, determine the operating temperature parameters of the power supply device at the current moment based on the temperature detection signal, and determine the operating noise parameters and noise frequency domain characteristics of the power supply device at the current moment based on the noise detection signal.

[0068] In specific implementation, the power monitoring terminal performs corresponding sensor signal analysis on the voltage detection signal to obtain the output voltage parameter of the power supply equipment at the current moment; it performs corresponding sensor signal analysis on the current detection signal to obtain the output current parameter of the power supply equipment at the current moment; and it performs corresponding sensor signal analysis on the temperature detection signal to obtain the operating temperature parameter of the power supply equipment at the current moment. Simultaneously, the power monitoring terminal performs corresponding signal analysis on the noise detection signal to determine the corresponding amplitude parameters of the noise detection signal, and uses the average amplitude parameter of each amplitude parameter as the operating noise parameter of the power supply equipment at the current moment. Furthermore, it performs wavelet transform processing on the noise detection signal, such as performing 5-level wavelet decomposition, to extract the noise frequency domain features corresponding to the noise detection signal. These noise frequency domain features contain noise energy in several frequency bands.

[0069] S3. Determine the voltage reference value based on the current output current parameter and operating temperature parameter of the power supply equipment at the current moment; determine the current reference value based on the current output voltage parameter and operating temperature parameter of the power supply equipment at the current moment; and determine the temperature reference value and noise reference value based on the current output current parameter of the power supply equipment at the current moment.

[0070] In practice, the power monitoring terminal substitutes the current output current parameters and operating temperature parameters of the power supply equipment into a preset voltage reference value formula to calculate the voltage reference value. The voltage reference value formula is as follows:

[0071]

[0072] Among them, V ref Here, I(t) is the voltage reference value, T(t) is the output current parameter of the power supply device at the current moment, d1 is the set first characteristic coefficient, and d2 is the set second characteristic coefficient.

[0073] The current current reference value is obtained by substituting the current output voltage and operating temperature parameters of the power supply equipment into a preset current reference value formula. The current reference value formula is as follows:

[0074]

[0075] Among them, I ref d3 is the current reference value, V(t) is the output voltage parameter of the power supply device at the current moment, d3 is the set third characteristic coefficient, and d4 is the set fourth characteristic coefficient.

[0076] The current output current parameter of the power supply device is substituted into the preset temperature reference value formula and noise reference value formula respectively for calculation to obtain the temperature reference value and noise reference value. The temperature reference value formula is as follows:

[0077]

[0078] Among them, T ref Here, d5 is the set fifth characteristic coefficient, and T0 is the given initial operating temperature parameter.

[0079] The noise reference value formula is:

[0080]

[0081] Where, N ref Here, d6 is the noise reference value, d6 is the set sixth characteristic coefficient, N0 is the given initial operating noise parameter, and I... max The given maximum output current parameter.

[0082] S4. Retrieve historical output voltage parameter sets, historical output current parameter sets, historical operating temperature parameter sets, and historical operating noise parameter sets. Based on the current output voltage parameter and the historical output voltage parameter set, determine the voltage fluctuation index, the current fluctuation index, the temperature fluctuation index, and the noise fluctuation index.

[0083] In specific implementation, the power monitoring terminal can retrieve locally stored historical output voltage parameter sets, historical output current parameter sets, historical operating temperature parameter sets, and historical operating noise parameter sets. The historical output voltage parameter set includes the output voltage parameters of the power supply device at several historical moments before the current moment, the historical output current parameter set includes the output current parameters of the power supply device at several historical moments before the current moment, the historical operating temperature parameter set includes the operating temperature parameters of the power supply device at several historical moments before the current moment, and the historical operating noise parameter set includes the operating noise parameters of the power supply device at several historical moments before the current moment.

[0084] Then, the standard deviation σ of the historical output voltage parameters is determined based on the output voltage parameters at each historical moment. V The instantaneous rate of change of voltage ΔV = dV(t) / dt is calculated based on the current output voltage parameter V(t), where t is the time parameter. The instantaneous rate of change of voltage ΔV is then divided by the standard deviation of the historical output voltage parameter σ. V The voltage fluctuation index B is obtained. V ;

[0085] The standard deviation σ of the historical output current parameters is determined based on the output current parameters at each historical moment. IThe instantaneous rate of change of voltage ΔI = dI(t) / dt is calculated based on the current output voltage parameter I(t), where t is the time parameter. The instantaneous rate of change of current ΔI is divided by the standard deviation of the historical output current parameter σ. I The current fluctuation index B is obtained. I ;

[0086] The standard deviation σ of the historical operating temperature parameters is determined based on the operating temperature parameters at each historical time. T The instantaneous temperature change rate ΔT = dT(t) / dt is calculated based on the current operating temperature parameter T(t), where t is the time parameter. The instantaneous temperature change rate ΔT is then divided by the standard deviation σ of the historical operating temperature parameters. T The temperature fluctuation index B is obtained. T ;

[0087] The standard deviation σ of the historical operating noise parameters is determined based on the operating noise parameters at each historical time point. N The instantaneous rate of change of noise ΔN = dN(t) / dt is calculated based on the current operating noise parameter N(t), where t is the time parameter. The instantaneous rate of change of noise ΔN is then divided by the standard deviation of the historical operating noise parameter σ. N The noise fluctuation index B is obtained. N .

[0088] S5. Calculate the voltage weighting coefficient, current weighting coefficient, temperature weighting coefficient, and noise weighting coefficient using the voltage fluctuation index, current fluctuation index, temperature fluctuation index, and noise fluctuation index.

[0089] In practical implementation, the power monitoring terminal can display the voltage fluctuation index B. V Current fluctuation index B I Temperature fluctuation index B T and noise fluctuation index B N Substitute them into the voltage weighting coefficient formula ω V =B V / (B V +B I +B T +B N ), Current weighting coefficient formula ω I =B I / (B V +B I +B T +B N ), temperature weighting coefficient formula ω T =B T / (B V +B I +B T +B N ) and the formula for noise weighting coefficient ω N =BN / (B V +B I +B T +B N The voltage weighting coefficient ω is obtained by calculation in ( ). V Current weighting coefficient ω I Temperature weighting coefficient ω T and noise weighting coefficient ω N By using dynamic weight calculation to adjust the weights according to the real-time changes of each monitoring parameter, the limitations of static thresholds can be overcome, enhancing the sensitivity to sudden anomalies and ensuring the accuracy of performance evaluation.

[0090] S6. Calculate the power supply equipment performance index using output voltage parameters, output current parameters, operating temperature parameters, operating noise parameters, noise frequency domain characteristics, voltage reference value, current reference value, temperature reference value, noise reference value, voltage weighting coefficient, current weighting coefficient, temperature weighting coefficient, and noise weighting coefficient.

[0091] In practice, the power monitoring terminal substitutes the output voltage parameters, output current parameters, operating temperature parameters, operating noise parameters, noise frequency domain characteristics, voltage reference values, current reference values, temperature reference values, noise reference values, voltage weighting coefficients, current weighting coefficients, temperature weighting coefficients, and noise weighting coefficients into a preset power equipment performance index formula to calculate the power equipment performance index. The power equipment performance index formula is as follows:

[0092]

[0093] Where X represents the power supply equipment performance index. (t) represents the noise energy in the k-th frequency band of the noise frequency domain characteristics. The base noise energy of the k-th frequency band is defined, where k represents the corresponding noise frequency band number in the noise frequency domain feature, n represents the total number of noise frequency bands in the noise frequency domain feature, and α is the set noise frequency domain energy weighting coefficient.

[0094] S7. Determine whether the power supply equipment is malfunctioning based on the power supply equipment performance index, and output corresponding performance warning information when the power supply equipment is determined to be malfunctioning.

[0095] In practice, when the power supply equipment performance index exceeds a set trigger threshold, the power monitoring terminal can determine that the power supply equipment performance is abnormal; otherwise, the power monitoring terminal can determine that the power supply equipment performance is normal. Furthermore, when the power supply equipment performance is determined to be abnormal, the power monitoring terminal outputs corresponding performance warning information and issues an appropriate warning.

[0096] This method, based on multi-parameter dynamic fusion analysis and dynamic weight adjustment mechanism, can fully consider the interrelationship between monitoring data of various dimensions of power supply equipment, accurately reflect the overall performance status of power supply equipment, realize comprehensive testing and evaluation of power supply equipment performance, and improve the efficiency and accuracy of power supply equipment performance monitoring.

[0097] Example 2:

[0098] This embodiment provides a power supply equipment performance testing system, such as... Figure 2 As shown, it includes a signal acquisition unit, a parameter determination unit, a scale determination unit, a fluctuation judgment unit, a weight calculation unit, an exponent calculation unit, and an anomaly early warning unit, wherein:

[0099] The signal acquisition unit is used to acquire the voltage detection signal of the voltage sensor, the current detection signal of the current sensor, the temperature detection signal of the temperature sensor, and the noise detection signal of the noise sensor at the current moment based on a set sampling frequency.

[0100] The parameter determination unit is used to determine the output voltage parameters of the power supply device at the current moment based on the voltage detection signal, the output current parameters of the power supply device at the current moment based on the current detection signal, the operating temperature parameters of the power supply device at the current moment based on the temperature detection signal, and the operating noise parameters and noise frequency domain characteristics of the power supply device at the current moment based on the noise detection signal.

[0101] The reference value determination unit is used to determine the voltage reference value based on the current output current parameter and operating temperature parameter of the power supply equipment at the current moment, determine the current reference value based on the current output voltage parameter and operating temperature parameter of the power supply equipment at the current moment, and determine the temperature reference value and noise reference value based on the current output current parameter of the power supply equipment at the current moment.

[0102] The fluctuation determination unit is used to retrieve historical output voltage parameter sets, historical output current parameter sets, historical operating temperature parameter sets, and historical operating noise parameter sets, and to determine the voltage fluctuation index based on the current output voltage parameter and the historical output voltage parameter set, the current fluctuation index based on the current output current parameter and the historical output current parameter set, the temperature fluctuation index based on the current operating temperature parameter and the historical operating temperature parameter set, and the noise fluctuation index based on the current operating noise parameter and the historical operating noise parameter set.

[0103] The weighting calculation unit is used to calculate the voltage weighting coefficient, current weighting coefficient, temperature weighting coefficient, and noise weighting coefficient using the voltage fluctuation index, current fluctuation index, temperature fluctuation index, and noise fluctuation index.

[0104] The index calculation unit is used to calculate the power supply equipment performance index using output voltage parameters, output current parameters, operating temperature parameters, operating noise parameters, noise frequency domain characteristics, voltage reference value, current reference value, temperature reference value, noise reference value, voltage weighting coefficient, current weighting coefficient, temperature weighting coefficient, and noise weighting coefficient.

[0105] The abnormality warning unit is used to determine whether the power supply equipment is abnormal based on the power supply equipment performance index, and outputs corresponding performance warning information when the power supply equipment is determined to be abnormal.

[0106] Example 3:

[0107] This embodiment provides a power supply equipment performance testing system, such as... Figure 3 As shown, at the hardware level, it includes:

[0108] The data interface is used to establish data communication between the processor and voltage sensors, current sensors, temperature sensors, and noise sensors.

[0109] Memory, used to store instructions;

[0110] The processor is used to read instructions stored in the memory and execute the power device performance testing method in Embodiment 1 according to the instructions.

[0111] Optionally, the system also includes an internal bus, through which the processor, memory, and data interface can be interconnected. This internal bus can be a PCIe (Peripheral Component Interconnect Eexpress) bus, which can be divided into an address bus, a data bus, a control bus, etc. The memory can include, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Flash Memory, First Input First Output (FIFO), and / or First In Last Out (FILO). The processor can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0112] Example 4:

[0113] This embodiment provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the power device performance testing method of Embodiment 1. The computer-readable storage medium refers to a data storage medium, which may include, but is not limited to, floppy disks, optical disks, hard disks, flash memory, USB flash drives, and / or Memory Sticks. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0114] This embodiment also provides a computer program product that, when run on a computer, executes the power supply device performance testing method of Embodiment 1. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.

[0115] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for testing the performance of power supply equipment, characterized in that, include: The voltage detection signal from the voltage sensor, the current detection signal from the current sensor, the temperature detection signal from the temperature sensor, and the noise detection signal from the noise sensor are collected based on the set sampling frequency at the current moment. The output voltage parameters of the power supply equipment at the current moment are determined based on the voltage detection signal, the output current parameters of the power supply equipment at the current moment are determined based on the current detection signal, the operating temperature parameters of the power supply equipment at the current moment are determined based on the temperature detection signal, and the operating noise parameters and noise frequency domain characteristics of the power supply equipment at the current moment are determined based on the noise detection signal. The voltage reference value is determined based on the current output current parameter and operating temperature parameter of the power supply equipment at the current moment; the current reference value is determined based on the current output voltage parameter and operating temperature parameter of the power supply equipment at the current moment; and the temperature reference value and noise reference value are determined based on the current output current parameter of the power supply equipment at the current moment. Retrieve historical output voltage parameter sets, historical output current parameter sets, historical operating temperature parameter sets, and historical operating noise parameter sets. Determine the voltage fluctuation index based on the current output voltage parameter and the historical output voltage parameter set, the current fluctuation index based on the current output current parameter and the historical output current parameter set, the temperature fluctuation index based on the current operating temperature parameter and the historical operating temperature parameter set, and the noise fluctuation index based on the current operating noise parameter and the historical operating noise parameter set. The voltage weighting coefficient, current weighting coefficient, temperature weighting coefficient, and noise weighting coefficient are calculated using the voltage fluctuation index, current fluctuation index, temperature fluctuation index, and noise fluctuation index. The power supply equipment performance index is calculated using output voltage parameters, output current parameters, operating temperature parameters, operating noise parameters, noise frequency domain characteristics, voltage reference value, current reference value, temperature reference value, noise reference value, voltage weighting coefficient, current weighting coefficient, temperature weighting coefficient, and noise weighting coefficient. The system determines whether the power supply equipment is malfunctioning based on its performance index, and outputs corresponding performance warning information when the power supply equipment is determined to be malfunctioning.

2. The power supply equipment performance testing method according to claim 1, characterized in that, The step of determining the operating noise parameters and frequency domain characteristics of the power supply equipment at the current moment based on the noise detection signal includes: The noise detection signal is analyzed to determine the average amplitude parameter of the noise detection signal, and the average amplitude parameter is used as the operating noise parameter of the power supply equipment at the current moment. The noise detection signal is subjected to wavelet transform to extract the corresponding noise frequency domain features, which contain noise energy in several frequency bands.

3. The power supply equipment performance testing method according to claim 1, characterized in that, The process of determining the voltage reference value based on the current output current parameters and operating temperature parameters of the power supply equipment, determining the current reference value based on the current output voltage parameters and operating temperature parameters of the power supply equipment, and determining the temperature reference value and noise reference value based on the current output current parameters of the power supply equipment includes: The current output current and operating temperature parameters of the power supply equipment are substituted into a preset voltage reference value formula to calculate the voltage reference value. The voltage reference value formula is as follows: Among them, V ref Here, I(t) is the voltage reference value, T(t) is the output current parameter of the power supply device at the current moment, d1 is the set first characteristic coefficient, and d2 is the set second characteristic coefficient. The current current reference value is obtained by substituting the current output voltage and operating temperature parameters of the power supply equipment into a preset current reference value formula. The current reference value formula is as follows: Among them, I ref d3 is the current reference value, V(t) is the output voltage parameter of the power supply device at the current moment, d4 is the set third characteristic coefficient, and d4 is the set fourth characteristic coefficient. The current output current parameter of the power supply device is substituted into the preset temperature reference value formula and noise reference value formula respectively for calculation to obtain the temperature reference value and noise reference value. The temperature reference value formula is as follows: Among them, T ref Here, d5 is the set fifth characteristic coefficient, and T0 is the given initial operating temperature parameter. The noise reference value formula is: Where, N ref Here, d6 is the noise reference value, d6 is the set sixth characteristic coefficient, N0 is the given initial operating noise parameter, and I... max The given maximum output current parameter.

4. The power supply equipment performance testing method according to claim 3, characterized in that, The historical output voltage parameter set includes the output voltage parameters of the power supply device at several historical moments prior to the current moment; the historical output current parameter set includes the output current parameters of the power supply device at several historical moments prior to the current moment; the historical operating temperature parameter set includes the operating temperature parameters of the power supply device at several historical moments prior to the current moment; and the historical operating noise parameter set includes the operating noise parameters of the power supply device at several historical moments prior to the current moment. The process of determining a voltage fluctuation index based on the current output voltage parameter and the historical output voltage parameter set, determining a current fluctuation index based on the current output current parameter and the historical output current parameter set, determining a temperature fluctuation index based on the current operating temperature parameter and the historical operating temperature parameter set, and determining a noise fluctuation index based on the current operating noise parameter and the historical operating noise parameter set includes: The standard deviation σ of the historical output voltage parameters is determined based on the output voltage parameters at each historical moment. V The instantaneous rate of change of voltage ΔV = dV(t) / dt is calculated based on the current output voltage parameter V(t), where t is the time parameter. The instantaneous rate of change of voltage ΔV is then divided by the standard deviation of the historical output voltage parameter σ. V The voltage fluctuation index B is obtained. V ; The standard deviation σ of the historical output current parameters is determined based on the output current parameters at each historical moment. I The instantaneous rate of change of voltage ΔI = dI(t) / dt is calculated based on the current output voltage parameter I(t), where t is the time parameter. The instantaneous rate of change of current ΔI is divided by the standard deviation of the historical output current parameter σ. I The current fluctuation index B is obtained. I ; The standard deviation σ of the historical operating temperature parameters is determined based on the operating temperature parameters at each historical time. T The instantaneous temperature change rate ΔT = dT(t) / dt is calculated based on the current operating temperature parameter T(t), where t is the time parameter. The instantaneous temperature change rate ΔT is then divided by the standard deviation σ of the historical operating temperature parameters. T The temperature fluctuation index B is obtained. T ; The standard deviation σ of the historical operating noise parameters is determined based on the operating noise parameters at each historical time point. N The instantaneous rate of change of noise ΔN = dN(t) / dt is calculated based on the current operating noise parameter N(t), where t is the time parameter. The instantaneous rate of change of noise ΔN is then divided by the standard deviation of the historical operating noise parameter σ. N The noise fluctuation index B is obtained. N .

5. The power supply equipment performance testing method according to claim 4, characterized in that, The calculation of voltage weighting coefficients, current weighting coefficients, temperature weighting coefficients, and noise weighting coefficients using voltage fluctuation index, current fluctuation index, temperature fluctuation index, and noise fluctuation index includes: Voltage fluctuation index B V Current fluctuation index B I Temperature fluctuation index B T and noise fluctuation index B N Substitute them into the voltage weighting coefficient formula ω respectively V =B V / (B) V +B I +B T +B N ), Current weighting coefficient formula ω I =B I / (B V +B I +B T +B N ), temperature weighting coefficient formula ω T =B T / (B V +B I +B T +B N ) and the formula for noise weighting coefficient ω N =B N / (B V +B I +B T +B N The voltage weighting coefficient ω is obtained by calculation in ( ). V Current weighting coefficient ω I Temperature weighting coefficient ω T and noise weighting coefficient ω N .

6. The power supply equipment performance testing method according to claim 5, characterized in that, The calculation of the power supply equipment performance index using output voltage parameters, output current parameters, operating temperature parameters, operating noise parameters, noise frequency domain characteristics, voltage reference values, current reference values, temperature reference values, noise reference values, voltage weighting coefficients, current weighting coefficients, temperature weighting coefficients, and noise weighting coefficients includes: The output voltage parameters, output current parameters, operating temperature parameters, operating noise parameters, noise frequency domain characteristics, voltage reference values, current reference values, temperature reference values, noise reference values, voltage weighting coefficients, current weighting coefficients, temperature weighting coefficients, and noise weighting coefficients are substituted into a preset power supply equipment performance index formula for calculation to obtain the power supply equipment performance index. The power supply equipment performance index formula is as follows: Where X represents the power supply equipment performance index. (t) represents the noise energy in the k-th frequency band of the noise frequency domain characteristics. The base noise energy of the k-th frequency band is defined, where k represents the corresponding noise frequency band number in the noise frequency domain feature, n represents the total number of noise frequency bands in the noise frequency domain feature, and α is the set noise frequency domain energy weighting coefficient.

7. The power supply equipment performance testing method according to claim 1, characterized in that, The method of determining whether a power supply device is malfunctioning based on its performance index includes: When the power supply device performance index exceeds the set trigger threshold, the power supply device performance is determined to be abnormal; otherwise, the power supply device performance is determined to be normal.

8. A power supply equipment performance testing system, characterized in that, It includes a signal acquisition unit, a parameter determination unit, a scale determination unit, a fluctuation judgment unit, a weight calculation unit, an exponent calculation unit, and an anomaly early warning unit, wherein: The signal acquisition unit is used to acquire the voltage detection signal of the voltage sensor, the current detection signal of the current sensor, the temperature detection signal of the temperature sensor, and the noise detection signal of the noise sensor at the current moment based on a set sampling frequency. The parameter determination unit is used to determine the output voltage parameters of the power supply device at the current moment based on the voltage detection signal, the output current parameters of the power supply device at the current moment based on the current detection signal, the operating temperature parameters of the power supply device at the current moment based on the temperature detection signal, and the operating noise parameters and noise frequency domain characteristics of the power supply device at the current moment based on the noise detection signal. The reference value determination unit is used to determine the voltage reference value based on the current output current parameter and operating temperature parameter of the power supply equipment at the current moment, determine the current reference value based on the current output voltage parameter and operating temperature parameter of the power supply equipment at the current moment, and determine the temperature reference value and noise reference value based on the current output current parameter of the power supply equipment at the current moment. The fluctuation determination unit is used to retrieve historical output voltage parameter sets, historical output current parameter sets, historical operating temperature parameter sets, and historical operating noise parameter sets, and to determine the voltage fluctuation index based on the current output voltage parameter and the historical output voltage parameter set, the current fluctuation index based on the current output current parameter and the historical output current parameter set, the temperature fluctuation index based on the current operating temperature parameter and the historical operating temperature parameter set, and the noise fluctuation index based on the current operating noise parameter and the historical operating noise parameter set. The weighting calculation unit is used to calculate the voltage weighting coefficient, current weighting coefficient, temperature weighting coefficient, and noise weighting coefficient using the voltage fluctuation index, current fluctuation index, temperature fluctuation index, and noise fluctuation index. The index calculation unit is used to calculate the power supply equipment performance index using output voltage parameters, output current parameters, operating temperature parameters, operating noise parameters, noise frequency domain characteristics, voltage reference value, current reference value, temperature reference value, noise reference value, voltage weighting coefficient, current weighting coefficient, temperature weighting coefficient, and noise weighting coefficient. The abnormality warning unit is used to determine whether the power supply equipment is abnormal based on the power supply equipment performance index, and outputs corresponding performance warning information when the power supply equipment is determined to be abnormal.

9. A power supply equipment performance testing system, characterized in that, include: Memory, used to store instructions; A processor is configured to read instructions stored in the memory and execute the power supply device performance testing method according to any one of claims 1-7.

10. A computer program product, characterized in that, When the computer program product is run on a computer, it performs the power supply device performance testing method according to any one of claims 1-7.

Citation Information

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