CN117169636A - Intelligent high temperature resistant aluminium electrolytic capacitor environment detecting system - Google Patents
Intelligent high temperature resistant aluminium electrolytic capacitor environment detecting system Download PDFInfo
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- 239000003990 capacitor Substances 0.000 title claims abstract description 286
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 title claims abstract description 17
- 229910052782 aluminium Inorganic materials 0.000 title claims abstract description 17
- 239000004411 aluminium Substances 0.000 title claims description 3
- 238000001514 detection method Methods 0.000 claims abstract description 64
- 230000005856 abnormality Effects 0.000 claims abstract description 55
- 238000011156 evaluation Methods 0.000 claims abstract description 32
- 238000012545 processing Methods 0.000 claims abstract description 16
- 238000000034 method Methods 0.000 claims abstract description 14
- 238000004364 calculation method Methods 0.000 claims abstract description 13
- 238000003745 diagnosis Methods 0.000 claims abstract description 11
- 238000007405 data analysis Methods 0.000 claims abstract description 7
- 238000007781 pre-processing Methods 0.000 claims abstract description 4
- 230000008859 change Effects 0.000 claims description 65
- 230000001133 acceleration Effects 0.000 claims description 19
- 230000002159 abnormal effect Effects 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 4
- 238000009413 insulation Methods 0.000 claims description 3
- 239000012774 insulation material Substances 0.000 claims description 3
- 230000003993 interaction Effects 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 230000004044 response Effects 0.000 claims description 3
- 238000012360 testing method Methods 0.000 abstract description 14
- 230000008569 process Effects 0.000 abstract description 3
- 238000013473 artificial intelligence Methods 0.000 abstract description 2
- 238000012937 correction Methods 0.000 abstract description 2
- 230000007613 environmental effect Effects 0.000 description 8
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000009795 derivation Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005684 electric field Effects 0.000 description 1
- 239000003792 electrolyte Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Abstract
The application relates to the field of artificial intelligence, and discloses an intelligent high-temperature-resistant aluminum electrolytic capacitor environment detection system, which is characterized in that capacitor environment data are acquired through a capacitor environment data acquisition module and are subjected to regional division, a capacitor environment data processing module is used for preprocessing the capacitor environment data, a capacitor environment data analysis module is used for analyzing the capacitor environment data, a capacitor performance abnormality evaluation index is deduced through a capacitor performance abnormality evaluation index calculation module, a capacitor performance is diagnosed through a capacitor performance abnormality diagnosis module, a result of the diagnosed capacitor performance abnormality is fed back through a result feedback module, a capacitor performance detection report is generated, a proper solution is matched, the difficulty of testing is reduced through an intelligent detection process and a detection judgment standard, and a correction scheme is provided for the detection result.
Description
Technical Field
The application relates to the technical field of artificial intelligence, in particular to an intelligent high-temperature-resistant aluminum electrolytic capacitor environment detection system.
Background
At present, various methods for detecting the aluminum electrolytic capacitor exist, the range of the capacitor to be tested is wider, the capacitor mainly comprises a capacity loss test, a short circuit test, a leakage test and a voltage withstand test, but the environment of the capacitor during working is also very necessary to be detected during the capacitor test, and the capacitor is required to have different performance indexes and working capacities under different use environments, and different environments influence different results of the capacitor during use, so that the capacitor environment detection also becomes a part of the capacitor detection;
however, the above procedure still has the following drawbacks:
firstly, the existing capacitor environment detection is mainly to monitor the performance of the capacitor under different environments through equipment, observe the working state of the capacitor, and test the capacitor one by one under different environments, so that the detection time is longer, the whole environment can not be analyzed at the same time, the detection time is shortened, and the test cost is reduced;
secondly, the current test is mainly to analyze the performance of the capacitor in different environments by manpower, the intelligent detection process is lacking, the test difficulty is increased, the reliable judgment standard is lacking for the detection result, and a correction scheme cannot be timely given to the detection result with problems.
Disclosure of Invention
In order to overcome the defects in the prior art, the application provides an intelligent high-temperature-resistant aluminum electrolytic capacitor environment detection system which solves the problems in the background art.
The application provides the following technical scheme: an intelligent high temperature resistant aluminum electrolytic capacitor environment detection system, comprising:
the capacitor environment data acquisition module: the system comprises a computer interface, a capacitor environment data processing module, a detection device and a capacitor environment data processing module, wherein the computer interface is used for connecting with the computer interface through the detection device, collecting the capacitor environment data, dividing the capacitor environment data into a plurality of sub-areas, numbering 1,2 and 3 … … n, and transmitting the data to the capacitor environment data processing module;
a capacitor environment data processing module: the method comprises the steps of preprocessing collected capacitor environment data to obtain various parameters of the environment influencing the performance of the capacitor, including the temperature change rate of the capacitor, the resistance humidity change rate, the vibration frequency and the acceleration of the capacitor;
a capacitor environment data analysis module: based on analysis of the processed capacitor environment data, a working stability coefficient and a dynamic environment change coefficient are obtained, and calculation is performed;
a capacitor performance anomaly evaluation index calculation module: the capacitor performance abnormality evaluation index is used for analyzing and deducing according to the analyzed capacitor environment data to obtain a capacitor performance abnormality evaluation index, calculating the capacitor performance abnormality evaluation index, and evaluating whether the capacitor is stable during working or not according to the capacitor performance abnormality evaluation index;
a capacitor performance anomaly diagnosis module: the capacitor performance is diagnosed through the calculated capacitor performance abnormality assessment index, and the diagnosed capacitor performance abnormality result is transmitted to the result feedback module;
and a result feedback module: and the method is used for feeding back the diagnosed capacitor performance abnormality result, generating a capacitor performance detection report, and simultaneously, automatically matching the proper solution according to the capacitor performance abnormality evaluation index and sending the solution to a detection personnel terminal for human-computer interaction.
Preferably, the capacitor environment data acquisition module monitors the capacitor environment data by using the capacitor detection equipment when the capacitor works, receives the capacitor environment data in real time, inputs the acquired capacitor environment data into the computer terminal, divides the data into areas, and classifies and stores the data into the database according to the areas.
Preferably, the capacitor environment data processing module is used for collecting and summarizing the collected capacitor environment data, analyzing the collected capacitor environment data to obtain environment parameters affecting the performance of the capacitor, and calculating the parameters;
the temperature change rate of the capacitor means that if the capacitor works, the capacitor can fail due to exceeding the change range of the using temperature, the capacitance can also change along with the change of the temperature, and the temperature change of the capacitor can be calculatedC 1 ，C 2 Representing the capacity of the capacitor, T 1 ，T 2 Representing the ambient temperature at which the capacitor is operating;
the resistance humidity change rate refers to the change of the resistance of the capacitor along with the change of the air humidity, and the resistance humidity change rate R=R1x (1+K x (RH 3-RH 2)) is calculated, wherein R1 represents the insulation resistance under the initial humidity, RH2 represents the initial humidity, RH3 represents the current humidity, and K represents the humidity coefficient of the insulation material;
the vibration frequency refers to resonance formed between the inductor and the capacitor when the capacitor works, so that the current and the voltage show specific frequency characteristics, and the calculation formula is the vibration frequencyL represents the value of the inductance, S represents the value of the capacitance, and pi represents the circumference ratio;
the acceleration of the capacitor means that the variation of the acceleration voltage reaches the circuit value to be driven when the load voltage changes, so that the change voltage acts in the circuit as soon as possible, the response capability of the amplifying circuit to the signal edge change is improved, and the acceleration of the capacitor is calculatedg represents the gravitational acceleration, deltac represents the relative change in capacitance, and d represents the distance between the plates.
Preferably, the working stability coefficient W is calculated from the vibration frequency f of the resistance humidity change rate Rn represents n resistance humidity measurements;
the dynamic environment change coefficient is calculated by the temperature change rate T of the capacitor, the acceleration a of the capacitor and the working time T of the capacitor to obtain
Preferably, the capacitor performance abnormality evaluation index is obtained by analyzing and deducing according to the working stability coefficient W and the dynamic environment change coefficient M, and calculatingn represents n regions byThe capacitor performance abnormality evaluation index detects the environment of the whole capacitor during operation, and prevents the capacitor performance from being abnormal due to the change of the environment, so that the capacitor is damaged.
Preferably, the capacitor performance abnormality diagnosis module detects the overall environment of the capacitor during working according to the capacitor performance abnormality evaluation index, so as to diagnose the capacitor performance; when the capacitor performance abnormality assessment index is 0< lambda <1, the overall environment detection during the operation of the capacitor is free from abnormality, the capacitor performance does not need to be detected, when the capacitor performance abnormality assessment index is lambda >1, the overall environment detection during the operation of the capacitor is abnormal, the capacitor performance is diagnosed, and the result of the abnormal capacitor performance is transmitted to the result feedback module.
Preferably, the result feedback module feeds back the diagnosed capacitor performance abnormality result to a detector to generate a capacitor performance detection report, and a proper solution is matched according to the performance detection report to prompt the detector to correct the capacitor environment abnormality in time.
The application has the technical effects and advantages that:
according to the capacitor performance anomaly evaluation method, capacitor environment data are acquired through the capacitor environment data acquisition module, regional division is carried out, the capacitor environment data are preprocessed by the capacitor environment data processing module, the temperature change rate, the resistance humidity change rate, the vibration frequency and the acceleration of the capacitor are obtained, the capacitor environment data are analyzed through the capacitor environment data analysis module, the capacitor performance anomaly evaluation index is analyzed and deduced through the capacitor performance anomaly evaluation index calculation module, the capacitor performance is diagnosed through the capacitor performance anomaly diagnosis module, the diagnosed capacitor performance anomaly result is fed back through the result feedback module to generate a capacitor performance detection report, and the capacitor performance detection report is matched with a proper solution, so that the capacitor performance anomaly evaluation method is beneficial to detecting the whole capacitor environment, the difficulty of testing is reduced, the testing scheme is corrected through the intelligent detection process and the detection judgment standard, and the testing time and the testing cost are reduced.
Drawings
FIG. 1 is a flow chart of an intelligent high temperature resistant aluminum electrolytic capacitor environment detection system.
Detailed Description
The embodiments of the present application will be clearly and completely described below with reference to the drawings in the present application, and the configurations of the structures described in the following embodiments are merely examples, and the intelligent high temperature resistant aluminum electrolytic capacitor environment detection system according to the present application is not limited to the structures described in the following embodiments, and all other embodiments obtained by a person having ordinary skill in the art without making any creative effort are within the scope of the present application.
The application provides an intelligent high-temperature-resistant aluminum electrolytic capacitor environment detection system, which comprises:
the capacitor environment data acquisition module: the capacitor environment data processing module is used for collecting the capacitor environment data by connecting the detection equipment with a computer interface, dividing the capacitor environment data into a plurality of subareas, numbering 1,2 and 3 … … n, and transmitting the data to the capacitor environment data processing module.
In this embodiment, the capacitor environmental data acquisition module monitors the capacitor environmental data by using the capacitor detection device when the capacitor works, receives the capacitor environmental data in real time, inputs the acquired capacitor environmental data into the computer terminal, divides the data into regions, and classifies and stores the data into the database according to the regions.
The capacitor environment data can be acquired in real time through the connection of the detection equipment and the computer interface, the condition that the acquired data is inaccurate due to the influence of the external environment is avoided when the data is acquired, the acquired data is more accurate, the acquired data is stored according to the area, the reliability of the data in the transmission process is ensured, and the data is convenient to extract.
A capacitor environment data processing module: the method is used for preprocessing the collected capacitor environment data to obtain various parameters of the environment influencing the capacitor performance, including the temperature change rate of the capacitor, the resistance humidity change rate, the vibration frequency and the acceleration of the capacitor.
In this embodiment, the capacitor environmental data processing module collates and gathers collected capacitor environmental data, and then analyzes the collected capacitor environmental data to obtain environmental parameters affecting the performance of the capacitor, and calculates each parameter;
the temperature change rate of the capacitor means that if the capacitor works, the capacitor can fail due to exceeding the change range of the using temperature, the capacitance can also change along with the change of the temperature, and the temperature change of the capacitor can be calculatedC 1 ，C 2 Representing the capacity of the capacitor, T 1 ，T 2 Representing the ambient temperature at which the capacitor is operating;
the resistance humidity change rate refers to the change of the resistance of the capacitor along with the change of the air humidity, and the resistance humidity change rate R=R1x (1+K x (RH 3-RH 2)) is calculated, wherein R1 represents the insulation resistance under the initial humidity, RH2 represents the initial humidity, RH3 represents the current humidity, and K represents the humidity coefficient of the insulation material;
the vibration frequency refers to resonance formed between the inductor and the capacitor when the capacitor works, so that the current and the voltage show specific frequency characteristics, and the calculation formula is the vibration frequencyL represents the value of the inductance, S represents the value of the capacitance, and pi represents the circumference ratio;
the acceleration of the capacitor means that the variation of the acceleration voltage reaches the circuit value to be driven when the load voltage changes, so that the change voltage acts in the circuit as soon as possible, the response capability of the amplifying circuit to the signal edge change is improved, and the acceleration of the capacitor is calculatedg represents the gravitational acceleration, deltac represents the relative change in capacitance, and d represents the distance between the plates.
The method has the advantages that the working state of the capacitor in the environment change can be known in real time through analysis and calculation of various parameters of the environment affecting the performance of the capacitor, the performance of the capacitor is monitored in real time, the basis of an effective solution can be provided, and the efficiency and accuracy of data analysis are improved;
the relative change delta C of the capacitance value is that when the electric field intensity of the capacitor changes, the capacitance changes with the change, and the calculation formula is thatEpsilon represents the dielectric constant of the electrolyte, A represents the plate area of the capacitor, deltad represents the variation of the plate pitch of the capacitor, and d represents the plate pitch of the capacitor.
A capacitor environment data analysis module: and analyzing the processed capacitor environment data to obtain a working stability coefficient and a dynamic environment change coefficient, and calculating.
In this embodiment, the working stability factor W is calculated from the vibration frequency f of the resistance humidity change rate R to obtainn represents n resistance humidity measurements;
the dynamic environment change coefficient is calculated by the temperature change rate T of the capacitor, the acceleration a of the capacitor and the working time T of the capacitor to obtain
The capacitor environment data analysis module is used for analyzing the performance of the capacitor in the whole environment, so that the working state of the capacitor can be monitored in real time, the result of the influence of the analyzed environment on the performance of the capacitor is more accurate, and the detection time can be reduced.
A capacitor performance anomaly evaluation index calculation module: a capacitor performance anomaly evaluation index calculation module: the method is used for analyzing and deducing according to the analyzed capacitor environment data to obtain a capacitor performance abnormality assessment index, calculating the capacitor performance abnormality assessment index, and assessing whether the capacitor is stable during operation or not according to the capacitor performance abnormality assessment index.
In this embodiment, the capacitor performance abnormality evaluation index is obtained by performing analysis and derivation according to the work stability coefficient W and the dynamic environment change coefficient M, and calculatingn represents n areas, and the environment of the whole capacitor during operation is detected through the capacitor performance abnormality evaluation index, so that the condition that the capacitor is damaged due to abnormality of the capacitor performance caused by the change of the environment is prevented.
The method has the advantages that the fault of the capacitor can be found in time according to the calculated capacitor performance abnormality evaluation index, errors and faults generated by equipment are reduced, diagnosis of the capacitor performance abnormality is facilitated, the reliability of detection is improved, and the detection and diagnosis result is more accurate.
A capacitor performance anomaly diagnosis module: for diagnosing capacitor performance by the calculated capacitor performance anomaly evaluation index and transmitting the result of the diagnosed capacitor performance anomaly to the result feedback module.
In this embodiment, the capacitor performance abnormality diagnosis module detects the overall environment of the capacitor during operation according to the capacitor performance abnormality evaluation index, so as to diagnose the capacitor performance; when the capacitor performance abnormality assessment index is 0< lambda <1, the overall environment detection during the operation of the capacitor is free from abnormality, the capacitor performance does not need to be detected, when the capacitor performance abnormality assessment index is lambda >1, the overall environment detection during the operation of the capacitor is abnormal, the capacitor performance is diagnosed, and the result of the abnormal capacitor performance is transmitted to the result feedback module.
The capacitor performance abnormality diagnosis module is used for diagnosing the capacitor performance, and can timely feed back results to detection personnel, so that the detection time of the detection personnel is saved, and meanwhile, the result feedback module is beneficial to matching a proper solution.
And a result feedback module: and the method is used for feeding back the diagnosed capacitor performance abnormality result, generating a capacitor performance detection report, and simultaneously, automatically matching the proper solution according to the capacitor performance abnormality evaluation index and sending the solution to a detection personnel terminal for human-computer interaction.
In this embodiment, the result feedback module feeds back the diagnosed result of the abnormal capacitor performance to the detecting personnel, generates a capacitor performance detection report, and timely reminds the detecting personnel to correct the abnormal capacitor environment according to the matching of the performance detection report to a proper solution.
Finally: the foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the application are intended to be included within the scope of the application.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (7)
1. An intelligent high temperature resistant aluminium electrolytic capacitor environment detecting system which characterized in that: comprising the following steps:
the capacitor environment data acquisition module: the system comprises a computer interface, a capacitor environment data processing module, a detection device and a capacitor environment data processing module, wherein the computer interface is used for connecting with the computer interface through the detection device, collecting the capacitor environment data, dividing the capacitor environment data into a plurality of sub-areas, numbering 1,2 and 3 … … n, and transmitting the data to the capacitor environment data processing module;
a capacitor environment data processing module: the method comprises the steps of preprocessing collected capacitor environment data to obtain various parameters of the environment influencing the performance of the capacitor, including the temperature change rate of the capacitor, the resistance humidity change rate, the vibration frequency and the acceleration of the capacitor;
a capacitor environment data analysis module: based on analysis of the processed capacitor environment data, a working stability coefficient and a dynamic environment change coefficient are obtained, and calculation is performed;
a capacitor performance anomaly evaluation index calculation module: the capacitor performance abnormality evaluation index is used for analyzing and deducing according to the analyzed capacitor environment data to obtain a capacitor performance abnormality evaluation index, calculating the capacitor performance abnormality evaluation index, and evaluating whether the capacitor is stable during working or not according to the capacitor performance abnormality evaluation index;
a capacitor performance anomaly diagnosis module: the capacitor performance is diagnosed through the calculated capacitor performance abnormality assessment index, and the diagnosed capacitor performance abnormality result is transmitted to the result feedback module;
and a result feedback module: and the method is used for feeding back the diagnosed capacitor performance abnormality result, generating a capacitor performance detection report, and simultaneously, automatically matching the proper solution according to the capacitor performance abnormality evaluation index and sending the solution to a detection personnel terminal for human-computer interaction.
2. The intelligent high temperature resistant aluminum electrolytic capacitor environment detection system according to claim 1, wherein: the capacitor environment data acquisition module monitors capacitor environment data when the capacitor works by utilizing the capacitor detection equipment, receives the capacitor environment data in real time, inputs the acquired capacitor environment data into a computer terminal, divides the data into areas, and classifies and stores the data into a database according to the areas.
3. The intelligent high temperature resistant aluminum electrolytic capacitor environment detection system according to claim 1, wherein: the capacitor environment data processing module is used for collecting and summarizing the collected capacitor environment data, analyzing the collected capacitor environment data to obtain environment parameters affecting the performance of the capacitor, and calculating the parameters;
the temperature change rate of the capacitor means that if the capacitor works, the capacitor can fail due to exceeding the change range of the using temperature, the capacitance can also change along with the change of the temperature, and the temperature change of the capacitor can be calculatedC 1 ，C 2 Representing the capacity of the capacitor, T 1 ，T 2 Representing the ambient temperature at which the capacitor is operating;
the resistance humidity change rate refers to the change of the resistance of the capacitor along with the change of the air humidity, and the resistance humidity change rate R=R1x (1+K x (RH 3-RH 2)) is calculated, wherein R1 represents the insulation resistance under the initial humidity, RH2 represents the initial humidity, RH3 represents the current humidity, and K represents the humidity coefficient of the insulation material;
the vibration frequency refers to resonance formed between the inductor and the capacitor when the capacitor works, so that the current and the voltage show specific frequency characteristics, and the calculation formula is the vibration frequencyL represents the value of the inductance, S represents the value of the capacitance, and pi represents the circumference ratio;
the acceleration of the capacitor means that the variation of the acceleration voltage reaches the circuit value to be driven when the load voltage changes, so that the change voltage acts in the circuit as soon as possible, the response capability of the amplifying circuit to the signal edge change is improved, and the acceleration of the capacitor is calculatedg represents the gravitational acceleration, deltac represents the relative change in capacitance, and d represents the distance between the plates.
4. According to claim 1The intelligent high-temperature-resistant aluminum electrolytic capacitor environment detection system is characterized in that: the working stability coefficient W is calculated by the vibration frequency f of the resistance humidity change rate R to obtainn represents n resistance humidity measurements;
the dynamic environment change coefficient is calculated by the temperature change rate T of the capacitor, the acceleration a of the capacitor and the working time T of the capacitor to obtain
5. The intelligent high temperature resistant aluminum electrolytic capacitor environment detection system according to claim 1, wherein: the capacitor performance abnormality evaluation index is obtained by analyzing and deducing according to the working stability coefficient W and the dynamic environment change coefficient M and calculating the samen represents n areas, and the environment of the whole capacitor during operation is detected through the capacitor performance abnormality evaluation index, so that the condition that the capacitor is damaged due to abnormality of the capacitor performance caused by the change of the environment is prevented.
6. The intelligent high temperature resistant aluminum electrolytic capacitor environment detection system according to claim 1, wherein: the capacitor performance abnormality diagnosis module is used for detecting the overall environment of the capacitor during working according to the capacitor performance abnormality evaluation index so as to diagnose the capacitor performance; when the capacitor performance abnormality assessment index is 0< lambda <1, the overall environment detection during the operation of the capacitor is free from abnormality, the capacitor performance does not need to be detected, when the capacitor performance abnormality assessment index is lambda >1, the overall environment detection during the operation of the capacitor is abnormal, the capacitor performance is diagnosed, and the result of the abnormal capacitor performance is transmitted to the result feedback module.
7. The intelligent high temperature resistant aluminum electrolytic capacitor environment detection system according to claim 1, wherein: the result feedback module feeds the diagnosed capacitor performance abnormality result back to the detection personnel, generates a capacitor performance detection report, and timely reminds the detection personnel to correct the capacitor environment abnormality according to the capacitor performance detection report matched with a proper solution.
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| CN202311287771.9A CN117169636B (en) | 2023-09-28 | Intelligent high temperature resistant aluminium electrolytic capacitor environment detecting system |
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| CN202311287771.9A CN117169636B (en) | 2023-09-28 | Intelligent high temperature resistant aluminium electrolytic capacitor environment detecting system |
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| JP2016111080A (en) * | 2014-12-03 | 2016-06-20 | 三菱電機株式会社 | Capacitor deterioration diagnosis device, inverter device, and household electrical appliance |
| CN106501645A (en) * | 2016-10-25 | 2017-03-15 | 郑州航空工业管理学院 | A kind of capacitor life-span and reliability evaluation system and method |
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