CN117473266A - EMI power supply filter safety performance monitoring method, device, medium and equipment - Google Patents

EMI power supply filter safety performance monitoring method, device, medium and equipment Download PDF

Info

Publication number
CN117473266A
CN117473266A CN202311499844.0A CN202311499844A CN117473266A CN 117473266 A CN117473266 A CN 117473266A CN 202311499844 A CN202311499844 A CN 202311499844A CN 117473266 A CN117473266 A CN 117473266A
Authority
CN
China
Prior art keywords
monitoring
scene
emi power
power supply
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202311499844.0A
Other languages
Chinese (zh)
Inventor
汪民
朱子强
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.)
Guangzhou Deloop Electronic Devices Co ltd
Original Assignee
Guangzhou Deloop Electronic Devices 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 Guangzhou Deloop Electronic Devices Co ltd filed Critical Guangzhou Deloop Electronic Devices Co ltd
Priority to CN202311499844.0A priority Critical patent/CN117473266A/en
Publication of CN117473266A publication Critical patent/CN117473266A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/10Pre-processing; Data cleansing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification 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

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

The application provides a method, a device, a medium and equipment for monitoring the safety performance of an EMI power filter, and relates to the technical field of power filters. The method comprises the following steps: acquiring a plurality of monitoring data corresponding to a plurality of monitoring indexes of the EMI power supply filter; respectively calculating the difference value of the standard data corresponding to the plurality of monitoring data and the plurality of monitoring indexes, and determining a plurality of monitoring scores corresponding to the plurality of monitoring data; determining scene weights corresponding to all monitoring indexes respectively based on the working scene of the EMI power supply filter; the field Jing Quan is used to weight and sum the multiple monitoring scores to obtain the safety performance monitoring score of the EMI power filter. The comprehensive safety performance monitoring score is obtained by acquiring a plurality of monitoring data corresponding to a plurality of monitoring indexes and considering scene weights corresponding to the monitoring indexes under the working scene where the EMI power filter is located, so that the safety performance of the EMI power filter can be comprehensively evaluated.

Description

EMI power supply filter safety performance monitoring method, device, medium and equipment
Technical Field
The application relates to the technical field of power supply filters, in particular to a method, a device, a medium and equipment for monitoring the safety performance of an EMI power supply filter.
Background
EMI (Electromagnetic Interference) the power filter is a device for reducing or eliminating electromagnetic interference on the power line. Its main function is filtering high frequency noise and interference signal in the power, ensures the stability of power supply. When using EMI power filters, safety performance monitoring is required to ensure proper operation and compliance with relevant safety standards.
In the related art, the safety performance monitoring method for the EMI power filter is mainly to test certain specific parameters of the EMI power filter, such as insulation resistance, spectrum analysis and the like, and then compare the test result with the standard corresponding to the parameters, thereby obtaining the safety performance monitoring result of the EMI power filter. However, in the practical use process, since the safety performance of the EMI power filter is affected by various factors, this specific parameter monitoring manner cannot comprehensively evaluate the safety performance of the EMI power filter.
Disclosure of Invention
The application provides a method, a device, a medium and equipment for monitoring the safety performance of an EMI power supply filter, which are used for comprehensively evaluating the safety performance of the EMI power supply filter by acquiring a plurality of monitoring data corresponding to a plurality of monitoring indexes and considering scene weights corresponding to the monitoring indexes in a working scene where the EMI power supply filter is positioned and adopting a weighted summation mode to obtain comprehensive safety performance monitoring scores.
In a first aspect, the present application provides a method for monitoring the safety performance of an EMI power filter, the method comprising:
acquiring a plurality of monitoring data corresponding to a plurality of monitoring indexes of the EMI power supply filter;
respectively calculating the difference values of the plurality of monitoring data and the standard data corresponding to the plurality of monitoring indexes, and determining a plurality of monitoring scores corresponding to the plurality of monitoring data;
determining scene weights corresponding to the monitoring indexes respectively based on the working scene of the EMI power supply filter;
and respectively carrying out weighted summation on the plurality of monitoring scores by using the scene weights to obtain the safety performance monitoring scores of the EMI power filter.
By adopting the technical scheme, the comprehensive safety performance monitoring score is obtained by acquiring the plurality of monitoring data corresponding to the plurality of monitoring indexes and taking the weight corresponding to the monitoring indexes in the working scene where the EMI power filter is positioned into consideration and adopting a weighted summation mode, so that the safety performance of the EMI power filter can be comprehensively evaluated.
Optionally, before determining the multiple monitoring scores corresponding to the multiple monitoring data, the method further includes:
acquiring the service life and accumulated working time of the EMI power supply filter, and acquiring original standard data corresponding to the multiple monitoring indexes;
and adjusting the original standard data into standard data according to the proportion of the accumulated working time to the service life.
By adopting the technical scheme, the influence of the service life of the filter and the accumulated working time on the standard data is considered. The actual safety performance of the EMI power filter can be reflected more accurately by adjusting the original standard data according to the proportion of the accumulated working time and the service life.
Optionally, the working scenario includes an interference suppression working scenario and a noise filtering working scenario, and determining the respective corresponding scenario weights of the monitoring indexes based on the working scenario where the EMI power supply filter is located includes:
judging that the working scene of the EMI power supply filter is an interference suppression type working scene or a noise filtering type working scene;
if the working scene of the EMI power supply filter is an interference suppression type working scene, dividing the multiple monitoring indexes into a first monitoring index and a second monitoring index, determining the scene weight of the first monitoring index as a first weight level, determining the scene weight of the second monitoring index as a second weight level, wherein the first weight level is larger than the second weight level;
if the working scene of the EMI power supply filter is a noise filtering type working scene, dividing the multiple monitoring indexes into a third monitoring index and a fourth monitoring index, determining the scene weight of the third monitoring index as a third weight level, determining the scene weight of the fourth monitoring index as a fourth weight level, and enabling the third weight level to be larger than the fourth weight level.
By adopting the technical scheme, the plurality of monitoring indexes are divided according to the characteristics of the working scenes according to different working scenes where the EMI power supply filter is positioned, so that the weight level corresponding to the monitoring indexes is determined according to the different working scenes. The scene weight of each monitoring index can be determined according to the actual working scene.
Optionally, the determining that the working scenario where the EMI power supply filter is located is an interference suppression working scenario or a noise filtering working scenario includes:
extracting the frequency spectrum characteristics of a working scene where the EMI power supply filter is located;
and analyzing the components of the frequency spectrum characteristics, and judging that the working scene of the EMI power supply filter is an interference suppression type working scene or a noise filtering type working scene.
By adopting the technical scheme, when the working scene where the EMI power supply filter is located is analyzed and judged, the type of the working scene can be rapidly and accurately judged by adopting a mode of analyzing the frequency spectrum characteristics, so that the scene weight can be rapidly determined in the follow-up process.
Optionally, after the weighted summation is performed on the multiple monitoring scores by using the scene weights to obtain the security performance monitoring scores of the EMI power filter, the method further includes:
and generating a visual report of the EMI power supply filter according to the working scene of the EMI power supply filter and the safety performance monitoring score.
By adopting the technical scheme, the visual report is generated according to the working scene and the safety performance monitoring score of the EMI power filter, visual and clear information presentation can be provided, and a user is helped to comprehensively know the safety performance of the filter.
Optionally, the calculating the difference value between the plurality of pieces of monitoring data and the standard data corresponding to the plurality of pieces of monitoring indexes, and determining a plurality of pieces of monitoring scores corresponding to the plurality of pieces of monitoring data, includes:
respectively calculating the difference values of the plurality of monitoring data and the standard data corresponding to the plurality of monitoring indexes, and determining a difference value interval in which the difference values of the plurality of monitoring indexes are located;
and determining a plurality of monitoring scores corresponding to the plurality of monitoring data according to the monitoring scores corresponding to the difference intervals.
By adopting the technical scheme, the preset difference interval is adopted, the difference interval corresponds to the monitoring score, and the multiple monitoring scores corresponding to the multiple monitoring data can be rapidly determined by judging the difference interval in which the difference is located.
Optionally, after the acquiring the plurality of pieces of monitoring data corresponding to the plurality of monitoring indexes of the EMI power supply filter, the method further includes:
and denoising the plurality of monitoring data.
By adopting the technical scheme, the denoising process can keep the original form and characteristics as much as possible, so that the analysis and interpretation of the signals can be ensured not to generate distortion or misleading, the influence of noise signals can be reduced by the denoising process, and the quality and accuracy of data are improved.
In a second aspect, the present application provides an EMI power filter safety performance monitoring apparatus, the apparatus comprising:
the data acquisition module is used for acquiring a plurality of monitoring data corresponding to a plurality of monitoring indexes of the EMI power supply filter;
the score calculation module is used for respectively calculating the difference values of the plurality of pieces of monitoring data and the standard data corresponding to the plurality of pieces of monitoring indexes and determining a plurality of pieces of monitoring scores corresponding to the plurality of pieces of monitoring data;
the weight determining module is used for determining scene weights corresponding to the monitoring indexes respectively based on the working scene where the EMI power supply filter is located;
and the weighted summation module is used for respectively carrying out weighted summation on the plurality of monitoring scores by using the scene weights to obtain the safety performance monitoring scores of the EMI power supply filter.
In a third aspect, the present application provides a computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform any of the methods described above.
In a fourth aspect, the present application provides an electronic device comprising a processor, a memory for storing instructions, and a transceiver for communicating with other devices, the processor for executing the instructions stored in the memory to cause the electronic device to perform a method as in any one of the above.
In summary, the beneficial effects brought by the technical scheme of the application include:
the comprehensive safety performance monitoring score is obtained by acquiring a plurality of monitoring data corresponding to a plurality of monitoring indexes and taking the scene weight corresponding to the monitoring indexes under the working scene where the EMI power filter is located into consideration, and a weighted summation mode is adopted, so that the safety performance of the EMI power filter can be comprehensively evaluated.
Drawings
Fig. 1 is a schematic flow chart of a method for monitoring safety performance of an EMI power filter according to an embodiment of the disclosure;
FIG. 2 is a schematic structural diagram of a safety performance monitoring device for an EMI power filter according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Reference numerals illustrate: 201. a data acquisition module; 202. a scoring calculation module; 203. a weight determining module; 204. a weighted summation module; 300. an electronic device; 301. a processor; 302. a communication bus; 303. a user interface; 304. a network interface; 305. a memory.
Detailed Description
In order to make the technical solutions in the present specification better understood by those skilled in the art, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present application, but not all embodiments.
In the description of embodiments of the present application, words such as "exemplary," "such as" or "for example" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "illustrative," "such as" or "for example" is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "illustratively," "such as" or "for example," etc., is intended to present related concepts in a concrete fashion.
In the description of the embodiments of the present application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating an indicated technical feature. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
Referring to fig. 1, a flow chart of an EMI power filter safety performance monitoring method according to an embodiment of the present application is provided, and the method may be implemented by a computer program, may be implemented by a single chip microcomputer, or may be run on an EMI power filter safety performance monitoring device based on von neumann system. The computer program may be integrated in the application or may run as a stand-alone tool class application. Specific steps of the method for monitoring the safety performance of the EMI power filter are described in detail below.
Step S101: and acquiring a plurality of monitoring data corresponding to the plurality of monitoring indexes of the EMI power supply filter.
An EMI power filter is a device for suppressing electromagnetic interference (Electromagnetic Interference, EMI), and is commonly used in electronic devices and power systems. EMI refers to a phenomenon in which an electrical signal in an electronic device or power system interferes with another device, which may cause a decrease in device performance, a communication interruption, or other electronic system malfunction. The EMI power filter is typically composed of capacitors, inductors, impedance elements, etc., which, by filtering or attenuating high frequency noise and interference signals on the power lines, ensures that the connected devices or systems can function properly and meet electromagnetic compatibility requirements.
The monitoring index is a quantitative index for evaluating or monitoring the filtering safety performance of the EMI power supply. In monitoring the EMI power filter, the monitoring index may be used to evaluate the safety performance of the EMI power filter. For example, monitoring metrics of an EMI power filter include, but are not limited to, electromagnetic radiation levels, conducted interference voltages, radiated interference voltages, noise voltage levels.
The monitoring data corresponding to the monitoring index refers to an actual measurement value or an observation result corresponding to the monitoring index, and the safety performance of the EMI power supply filter can be evaluated by analyzing the actual monitoring data.
The monitoring data may be obtained by measuring with a sensor or by monitoring with a specific measuring instrument, which is not limited herein.
In the embodiment of the application, the safety performance of the EMI power supply filter is comprehensively evaluated, and a more comprehensive result can be obtained in subsequent processing by adopting a plurality of monitoring data corresponding to a plurality of monitoring indexes.
In an alternative embodiment, the plurality of monitored data is denoised.
Optionally, historical monitoring data of each monitoring index is obtained, and an average value of each sliding window is calculated in a sliding window average mode to serve as final monitoring data, so that noise influence caused by abnormal data is reduced.
Alternatively, a machine learning algorithm may be used to train the model, detect easy-out data in the monitored data, common algorithms include outlier detection algorithms, isolated forest algorithms, and the like. The abnormal data is identified by training the model, so that denoising processing is performed.
Step S102: and respectively calculating the difference values of the standard data corresponding to the plurality of monitoring data and the plurality of monitoring indexes, and determining a plurality of monitoring scores corresponding to the plurality of monitoring data.
The standard data corresponding to the monitoring index is data which corresponds to the monitoring index and serves as a reference, namely, when the EMI power supply filter works in a normal rated state, the monitored standard data can reflect the actual state of a certain monitoring index by comparing the monitoring data with the standard data. The function of the standard data is to provide a reference standard for the monitoring index to judge whether the actual measured value meets the expected requirement. The standard data corresponding to the monitoring indexes can be obtained by obtaining a product report of the EMI power filter, and determining the standard data corresponding to each monitoring index.
In the actual use process of the EMI power filter, considering that the standard data as a reference may change after the EMI power filter is used for a period of time, if the standard data is used in factory, the accuracy of the subsequent safety performance monitoring score is affected, so that the standard data needs to be standardized.
Optionally, acquiring service life and accumulated working time of the EMI power filter, and acquiring original standard data corresponding to a plurality of monitoring indexes; and according to the proportion of the accumulated working time to the service life, the original standard data is adjusted to standard data.
The service life and accumulated working time data are obtained from the relevant records of the EMI power filter or the equipment, and the original standard data are obtained from the corresponding standard specification or data manual, wherein the original standard data are usually recommended values or limiting values under the normal operation condition of the equipment.
And calculating the adjustment proportion according to the proportion relation between the accumulated working time and the service life. The ratio may be obtained by dividing the cumulative operating time by the age. And adjusting the original standard data according to the proportion of the accumulated working time and the service life so as to reflect the performance change of the equipment after the use.
In an implementation manner, difference values of the plurality of monitoring data and standard data corresponding to the plurality of monitoring indexes are calculated respectively, and a difference value interval in which the difference values of the plurality of monitoring indexes are located is determined; and determining a plurality of monitoring scores corresponding to the plurality of monitoring data according to the monitoring scores corresponding to the difference intervals.
The difference value corresponding to the monitoring index is a value obtained by subtracting the monitoring data from the standard data of the corresponding monitoring index. The difference interval refers to an interval corresponding to how much difference is detected under the monitor index, for example, the difference interval may be an interval of [0, 10 ], [10, 20), etc. And comparing the calculated difference value with a predefined difference value interval to determine the interval in which the difference value is located. May be implemented using conditional judgment statements or interval division functions. Different difference intervals correspond to different monitoring scores, the monitoring score corresponding to the difference interval with small difference with the standard data is higher, and the monitoring score corresponding to the difference interval with large difference with the standard data is lower. The monitoring score corresponding to the monitoring data can be obtained by determining the difference interval where the difference corresponding to the monitoring index is located, and the monitoring score can be realized by using a table look-up or condition judgment mode.
It should be noted that the division of the difference intervals of different monitoring indexes and the monitoring scores corresponding to the difference intervals are different, and are required to be predefined, so that the efficiency of subsequent calculation is improved.
Step S103: and determining scene weights corresponding to the monitoring indexes respectively based on the working scene of the EMI power supply filter.
The working scene of the EMI power filter is defined according to the actual function of the EMI power filter in practical use. The operational scenario of EMI power filters in electronic devices and power systems mainly involves both interference suppression and noise filtering.
In terms of interference suppression, in electronic devices and power systems, the power supply may carry some interference, such as high frequency noise, harmonics, spikes, etc. These disturbances can adversely affect the proper functioning of the device, for example, causing device malfunction, data transmission errors, instrument measurement errors, etc. The main function of the EMI power filter is to suppress high frequency noise and interference signals on the power line, prevent them from propagating into other devices or systems through the power line, and thus ensure electromagnetic compatibility between the devices.
In terms of noise filtering, in electronic devices and power supply systems, some high-frequency noise is generated due to the operation of circuit elements, switches, wires, and the like. These noise can propagate to the power cord and thus affect the proper operation of other devices and even interfere with other wireless communication devices. The primary function of the EMI power filter is to filter out noise on the power line. The high-frequency noise is filtered through the inductance element, so that noise signals on the power line are attenuated, and interference to other equipment is reduced.
Specifically, extracting the frequency spectrum characteristics of a working scene where the EMI power filter is located; and analyzing the components of the frequency spectrum characteristics, and judging that the working scene of the EMI power supply filter is an interference suppression type working scene or a noise filtering type working scene.
Firstly, a signal sample on a power line is obtained in a working scene where an EMI power filter is located. This may be achieved by connecting a spectrum analyzer or oscilloscope or the like to capture the signal on the power line. The signal samples are then subjected to spectral analysis by appropriate tools or software to obtain spectral features. Common spectral analysis methods include fourier transforms, fast Fourier Transforms (FFTs), and the like. Finally, the spectrogram is observed and the components of the spectral features are analyzed. If significant high frequency noise and bursty interference signals exist in the frequency spectrum, and the signals are mainly concentrated in a specific frequency band or frequency range, the EMI power filter is indicated to work in an interference suppression type working scene. These interfering signals may come from other devices on the power line, power switches, power converters, etc. If the frequency spectrum has wider frequency band noise and the noise component is distributed relatively uniformly, the noise component is not obviously concentrated in a specific frequency band, which indicates that the EMI power filter works in a noise filtering type working scene. Such noise may come from the power line itself, grid disturbances, equipment internal disturbances, etc. Based on the analysis, the analysis can be performed by combining the actual scene and the working environment.
In one implementation, the working scene where the EMI power filter is located is judged to be an interference suppression type working scene or a noise filtering type working scene;
if the working scene of the EMI power supply filter is an interference suppression type working scene, dividing a plurality of monitoring indexes into a first monitoring index and a second monitoring index, determining the scene weight of the first monitoring index as a first weight level, determining the scene weight of the second monitoring index as a second weight level, wherein the first weight level is larger than the second weight level;
if the working scene of the EMI power supply filter is a noise filtering type working scene, dividing a plurality of monitoring indexes into a third monitoring index and a fourth monitoring index, determining the scene weight of the third monitoring index as a third weight level, determining the scene weight of the fourth monitoring index as a fourth weight level, and enabling the third weight level to be larger than the fourth weight level.
And dividing a plurality of monitoring indexes according to the characteristics of the working scene, wherein the monitoring indexes such as electromagnetic radiation level data, conducted interference voltage data and radiated interference voltage data of the output end have larger influence on the safety performance of the EMI power supply filter in the working scene of the interference suppression type. The monitoring indexes with larger influences are divided into first monitoring indexes, the first monitoring indexes correspond to first weight levels, the other monitoring indexes with smaller influences are divided into second monitoring indexes, the second monitoring indexes correspond to second weight levels, and the first weight levels are larger than the second monitoring levels.
Correspondingly, in noise filtering working scenes, noise voltage level data of an output end, electrical isolation voltage data between an input end and the output end, noise voltage level data and other monitoring indexes have larger influence on the taking performance of the EMI power supply filter. Dividing the monitoring indexes with larger influence into third monitoring indexes, wherein the third monitoring indexes correspond to third weight levels, dividing the monitoring indexes with smaller influence into fourth monitoring indexes, wherein the fourth monitoring indexes correspond to fourth weight levels, and the third weight levels are larger than the fourth monitoring levels.
Step S104: the field Jing Quan is used to weight and sum the multiple monitoring scores to obtain the safety performance monitoring score of the EMI power filter.
The scene weight corresponds to the importance degree of the influence of the monitoring index on the safety performance, and each index is weighted and summed. And multiplying the score of each index by the corresponding scene weight according to the specific scene weight, and adding all weighted scores to obtain a final safety performance monitoring score.
Specifically, a visual report of the EMI power filter is generated according to the working scene where the EMI power filter is located and the security performance monitoring score.
According to the working scene, different evaluation indexes are selected. For interference suppression scenarios, the suppression effect at different frequencies is of great concern. For noise filtering scenarios, the bandpass characteristics of the filter are of greater concern. And judging the performance of the filter on different evaluation indexes according to the safety performance monitoring scores. The visual tool is used to convert the working scene, evaluation index and performance of the filter into visual charts, such as a suppression effect curve chart, a noise correction curve chart, a radar chart and the like. Reports containing these visual charts are generated that visually demonstrate the performance of the EMI power filter under different operating scenarios.
The following are device embodiments of the present application, which may be used to perform method embodiments of the present application. For details not disclosed in the device embodiments of the present application, please refer to the method embodiments of the present application.
Referring to fig. 2, a schematic structural diagram of an EMI power filter safety performance monitoring apparatus according to an exemplary embodiment of the present application is shown. The apparatus may be implemented as all or part of an apparatus by software, hardware, or a combination of both. The apparatus includes a data acquisition module 201, a score computation module 202, a weight determination module 203, and a weighted summation module 204.
The data acquisition module 201 is configured to acquire a plurality of pieces of monitoring data corresponding to a plurality of monitoring indexes of the EMI power filter;
the score calculating module 202 is configured to calculate difference values of the plurality of pieces of monitoring data and standard data corresponding to the plurality of pieces of monitoring indexes, respectively, and determine a plurality of pieces of monitoring scores corresponding to the plurality of pieces of monitoring data;
the weight determining module 203 is configured to determine a scene weight corresponding to each monitoring index based on a working scene where the EMI power supply filter is located;
the weighted summation module 204 is configured to use the fields Jing Quan to respectively perform weighted summation on the multiple monitoring scores to obtain a safety performance monitoring score of the EMI power filter.
Optionally, the data acquisition module 201 further includes a denoising unit.
And the denoising unit is used for denoising the plurality of monitoring data.
Optionally, the score calculating module 202 further includes a standard data adjustment unit and a difference interval determining unit.
The standard data adjusting unit is used for acquiring the service life and the accumulated working time of the EMI power supply filter and acquiring original standard data corresponding to a plurality of monitoring indexes; and according to the proportion of the accumulated working time to the service life, the original standard data is adjusted to standard data.
The difference value interval determining unit is used for respectively calculating the difference values of the plurality of monitoring data and the standard data corresponding to the plurality of monitoring indexes and determining a difference value interval in which the difference values of the plurality of monitoring indexes are located; and determining a plurality of monitoring scores corresponding to the plurality of monitoring data according to the monitoring scores corresponding to the difference intervals.
Optionally, the weight determining module 203 further includes a monitoring index dividing unit and a scene judging unit.
The monitoring index dividing unit is used for judging that the working scene where the EMI power supply filter is located is an interference suppression type working scene or a noise filtering type working scene; if the working scene of the EMI power supply filter is an interference suppression type working scene, dividing a plurality of monitoring indexes into a first monitoring index and a second monitoring index, determining the scene weight of the first monitoring index as a first weight level, determining the scene weight of the second monitoring index as a second weight level, wherein the first weight level is larger than the second weight level; if the working scene of the EMI power supply filter is a noise filtering type working scene, dividing a plurality of monitoring indexes into a third monitoring index and a fourth monitoring index, determining the scene weight of the third monitoring index as a third weight level, determining the scene weight of the fourth monitoring index as a fourth weight level, and enabling the third weight level to be larger than the fourth weight level.
The scene judging unit is used for extracting the frequency spectrum characteristics of the working scene where the EMI power supply filter is located; and analyzing the components of the frequency spectrum characteristics, and judging that the working scene of the EMI power supply filter is an interference suppression type working scene or a noise filtering type working scene.
Optionally, the weighted summation module 204 further comprises a report generating unit.
And the report generating unit is used for generating a visual report of the EMI power supply filter according to the working scene where the EMI power supply filter is positioned and the safety performance monitoring score.
The embodiment of the present application further provides a computer storage medium, where the computer storage medium may store a plurality of instructions, where the instructions are adapted to be loaded by a processor and executed by the processor, where the specific execution process may be referred to in the specific description of the embodiment shown in fig. 1, and is not repeated herein.
Referring to fig. 3, a schematic structural diagram of an electronic device is provided in an embodiment of the present application. As shown in fig. 3, the electronic device 300 may include: at least one processor 301, at least one network interface 304, a user interface 303, a memory 305, at least one communication bus 302.
Wherein the communication bus 302 is used to enable connected communication between these components.
The user interface 303 may include a standard wired interface, a wireless interface, among others.
The network interface 304 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Wherein the processor 301 may include one or more processing cores. The processor 301 utilizes various interfaces and lines to connect various portions of the overall server, perform various functions of the server and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and invoking data stored in the memory 305. Alternatively, the processor 301 may be implemented in hardware in at least one of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 301 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), and a modem etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 301 and may be implemented by a single chip.
The Memory 305 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 305 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 305 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described respective method embodiments, etc.; the storage data area may store data or the like involved in the above respective method embodiments. Memory 305 may also optionally be at least one storage device located remotely from the aforementioned processor 301. As shown in fig. 3, an operating system, a network communication module, a user interface module, and an application program of an EMI power filter security performance monitoring method may be included in the memory 305 as a computer storage medium.
In the electronic device 300 shown in fig. 3, the user interface 303 is mainly used for providing an input interface for a user, and acquiring data input by the user; and processor 301 may be configured to invoke an application program in memory 305 that stores an EMI power filter security performance monitoring method that, when executed by one or more processors, causes the electronic device to perform the method as in one or more of the embodiments described above.
An electronic device readable storage medium storing instructions. The method of one or more of the above embodiments is performed by one or more processors, which when executed by an electronic device.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required in the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided herein, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as a division of units, merely a division of logic functions, and there may be additional divisions in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned memory includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a magnetic disk or an optical disk.
The above are merely exemplary embodiments of the present disclosure and are not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains.

Claims (10)

1. A method for monitoring the safety performance of an EMI power filter, the method comprising:
acquiring a plurality of monitoring data corresponding to a plurality of monitoring indexes of the EMI power supply filter;
respectively calculating the difference values of the plurality of monitoring data and the standard data corresponding to the plurality of monitoring indexes, and determining a plurality of monitoring scores corresponding to the plurality of monitoring data;
determining scene weights corresponding to the monitoring indexes respectively based on the working scene of the EMI power supply filter;
and respectively carrying out weighted summation on the plurality of monitoring scores by using the scene weights to obtain the safety performance monitoring scores of the EMI power filter.
2. The method according to claim 1, wherein the calculating the difference between the plurality of pieces of monitoring data and the standard data corresponding to the plurality of pieces of monitoring index, before determining the plurality of pieces of monitoring scores corresponding to the plurality of pieces of monitoring data, further comprises:
acquiring the service life and accumulated working time of the EMI power supply filter, and acquiring original standard data corresponding to the multiple monitoring indexes;
and adjusting the original standard data into standard data according to the proportion of the accumulated working time to the service life.
3. The method of claim 1, wherein the operating scenarios include an interference suppression type operating scenario and a noise filtering type operating scenario, and wherein determining the respective scenario weights for each of the monitoring indicators based on the operating scenario in which the EMI power filter is located comprises:
judging that the working scene of the EMI power supply filter is an interference suppression type working scene or a noise filtering type working scene;
if the working scene of the EMI power supply filter is an interference suppression type working scene, dividing the multiple monitoring indexes into a first monitoring index and a second monitoring index, determining the scene weight of the first monitoring index as a first weight level, determining the scene weight of the second monitoring index as a second weight level, wherein the first weight level is larger than the second weight level;
if the working scene of the EMI power supply filter is a noise filtering type working scene, dividing the multiple monitoring indexes into a third monitoring index and a fourth monitoring index, determining the scene weight of the third monitoring index as a third weight level, determining the scene weight of the fourth monitoring index as a fourth weight level, and enabling the third weight level to be larger than the fourth weight level.
4. The method of claim 3, wherein the determining that the EMI power filter is in an interference suppression type operating scenario or a noise filtering type operating scenario comprises:
extracting the frequency spectrum characteristics of a working scene where the EMI power supply filter is located;
and analyzing the components of the frequency spectrum characteristics, and judging that the working scene of the EMI power supply filter is an interference suppression type working scene or a noise filtering type working scene.
5. The method of claim 3, wherein the weighting and summing the plurality of monitoring scores using the scene weights, respectively, to obtain the security performance monitoring score for the EMI power filter, further comprises:
and generating a visual report of the EMI power supply filter according to the working scene of the EMI power supply filter and the safety performance monitoring score.
6. The method of claim 1, wherein the calculating the difference between the plurality of pieces of monitoring data and the standard data corresponding to the plurality of pieces of monitoring index, respectively, and determining a plurality of pieces of monitoring scores corresponding to the plurality of pieces of monitoring data, comprises:
respectively calculating the difference values of the plurality of monitoring data and the standard data corresponding to the plurality of monitoring indexes, and determining a difference value interval in which the difference values of the plurality of monitoring indexes are located;
and determining a plurality of monitoring scores corresponding to the plurality of monitoring data according to the monitoring scores corresponding to the difference intervals.
7. The method of claim 1, further comprising, after the obtaining the plurality of pieces of monitoring data corresponding to the plurality of monitoring indicators of the EMI power filter:
and denoising the plurality of monitoring data.
8. An EMI power filter safety performance monitoring apparatus, the apparatus comprising:
the data acquisition module is used for acquiring a plurality of monitoring data corresponding to a plurality of monitoring indexes of the EMI power supply filter;
the score calculation module is used for respectively calculating the difference values of the plurality of pieces of monitoring data and the standard data corresponding to the plurality of pieces of monitoring indexes and determining a plurality of pieces of monitoring scores corresponding to the plurality of pieces of monitoring data;
the weight determining module is used for determining scene weights corresponding to the monitoring indexes respectively based on the working scene where the EMI power supply filter is located;
and the weighted summation module is used for respectively carrying out weighted summation on the plurality of monitoring scores by using the scene weights to obtain the safety performance monitoring scores of the EMI power supply filter.
9. A computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the method of any one of claims 1 to 7.
10. An electronic device comprising a processor, a memory and a transceiver, the memory configured to store instructions, the transceiver configured to communicate with other devices, the processor configured to execute the instructions stored in the memory, to cause the electronic device to perform the method of any one of claims 1-7.
CN202311499844.0A 2023-11-10 2023-11-10 EMI power supply filter safety performance monitoring method, device, medium and equipment Pending CN117473266A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311499844.0A CN117473266A (en) 2023-11-10 2023-11-10 EMI power supply filter safety performance monitoring method, device, medium and equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311499844.0A CN117473266A (en) 2023-11-10 2023-11-10 EMI power supply filter safety performance monitoring method, device, medium and equipment

Publications (1)

Publication Number Publication Date
CN117473266A true CN117473266A (en) 2024-01-30

Family

ID=89627247

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311499844.0A Pending CN117473266A (en) 2023-11-10 2023-11-10 EMI power supply filter safety performance monitoring method, device, medium and equipment

Country Status (1)

Country Link
CN (1) CN117473266A (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017178878A1 (en) * 2016-04-13 2017-10-19 Universitat Politecnica De Catalunya A full time-domain method for analyzing two or more signals for assessing them as electromagnetic interference (emi)
CN111901814A (en) * 2020-09-11 2020-11-06 中国联合网络通信集团有限公司 Wireless network health assessment method and device, electronic equipment and storage medium
CN112231628A (en) * 2020-06-28 2021-01-15 中国电力科学研究院有限公司 Method and system for determining compensation performance of active power quality control equipment
CN115455089A (en) * 2022-11-09 2022-12-09 西安弘捷电子技术有限公司 Performance evaluation method and system of passive component and storage medium
CN115856458A (en) * 2021-09-23 2023-03-28 中车株洲电力机车研究所有限公司 Method, system, device and storage medium for testing active electromagnetic interference filter

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017178878A1 (en) * 2016-04-13 2017-10-19 Universitat Politecnica De Catalunya A full time-domain method for analyzing two or more signals for assessing them as electromagnetic interference (emi)
CN112231628A (en) * 2020-06-28 2021-01-15 中国电力科学研究院有限公司 Method and system for determining compensation performance of active power quality control equipment
CN111901814A (en) * 2020-09-11 2020-11-06 中国联合网络通信集团有限公司 Wireless network health assessment method and device, electronic equipment and storage medium
CN115856458A (en) * 2021-09-23 2023-03-28 中车株洲电力机车研究所有限公司 Method, system, device and storage medium for testing active electromagnetic interference filter
CN115455089A (en) * 2022-11-09 2022-12-09 西安弘捷电子技术有限公司 Performance evaluation method and system of passive component and storage medium

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
BALAJI NARAYANASAMY等: "A Survey of Active EMI Filters for Conducted EMI Noise Reduction in Power Electronic Converters", IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY, 27 November 2019 (2019-11-27), pages 2040 - 2049 *
任慧龙;贾连徽;李陈峰;赵晓东;: "船体结构应力监测系统的滤波器设计", 哈尔滨工程大学学报, no. 08, 11 July 2013 (2013-07-11), pages 945 - 951 *
程德望: "EMI虚拟暗室测试系统设计研究", 中国优秀硕士学位论文全文数据库 信息科技辑, 15 April 2014 (2014-04-15), pages 2 - 5 *
郭凯: "宽频带混合EMI电源滤波器设计", 中国优秀硕士学位论文全文数据库 信息科技辑, 15 April 2022 (2022-04-15), pages 2 - 5 *

Similar Documents

Publication Publication Date Title
RU2613584C2 (en) Method and device for analyzing quality of electric power in three-phase electrical network
EP3232208A1 (en) A full time-domain method for measuring and monitoring electromagnetic interference signals and a system
US10026418B2 (en) Abnormal frame detection method and apparatus
CN109270482B (en) Online evaluation method for metering accuracy of voltage transformer and terminal equipment
CN108445313B (en) Comprehensive prediction method for electromagnetic radiation effect of frequency equipment and terminal equipment
CN111007435B (en) Monitoring method, device and equipment for analyzing transformer fault based on resistance-capacitance component
US8355879B2 (en) Trending of vibration data taking into account torque effect
CN117473266A (en) EMI power supply filter safety performance monitoring method, device, medium and equipment
CN106772200B (en) CVT metering error abnormity evaluation method and system based on capacitance-to-ground current
CN115267641B (en) Method and system for identifying error abnormity of current transformer in same-tower double-circuit power transmission line
CN108020741B (en) Method and device for identifying damping characteristics of double-frequency harmonic attenuation signal
CN115310490B (en) Rotary equipment fault analysis method based on multi-domain feature and sensitive feature selection
CN111614412B (en) Radio frequency test method, device, electronic equipment and readable storage medium
CN104808643B (en) A kind of control loop non-linear detection method based on improved double-spectrum analysis
CN101710160B (en) Method for measuring electromagnetic compatibility margin of electronic and electric equipment
CN109038683B (en) Method, device and equipment for evaluating accuracy of primary frequency modulation frequency signal source
CN114118720A (en) Nuclear power plant circulating water pump operation state comprehensive evaluation method and device, electronic equipment and storage medium
CN108596215B (en) Multi-modal signal analysis and separation method, device, equipment and storage medium
CN107192550B (en) Order analysis system
CN110081968B (en) Method and device for simulating vibration signal of transformer
CN113358930B (en) Harmonic wave test system, device and method based on signal deviation
CN117647694B (en) Quality detection method suitable for intelligent watch machining process
RU124411U1 (en) DIGITAL RECORDERS PROCESSING AND ANALYSIS SYSTEM FOR MONITORING TRANSITION MODES IN POWER UNION
CN117452103A (en) EMI power supply filter reliability test system and method
CN110098878A (en) A kind of the determination method and electronic device of electromagnetic spectrum

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