CN116203298B - Power protection method and system based on magnetic coupling digital isolator - Google Patents

Power protection method and system based on magnetic coupling digital isolator Download PDF

Info

Publication number
CN116203298B
CN116203298B CN202310046103.0A CN202310046103A CN116203298B CN 116203298 B CN116203298 B CN 116203298B CN 202310046103 A CN202310046103 A CN 202310046103A CN 116203298 B CN116203298 B CN 116203298B
Authority
CN
China
Prior art keywords
magnetic coupling
digital isolator
coupling digital
power supply
isolator
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202310046103.0A
Other languages
Chinese (zh)
Other versions
CN116203298A (en
Inventor
尤富生
宣和均
宣奇波
金星
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.)
Saifukaier Shaoxing Medical Technology Co ltd
Original Assignee
Saifukaier Shaoxing Medical Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Saifukaier Shaoxing Medical Technology Co ltd filed Critical Saifukaier Shaoxing Medical Technology Co ltd
Priority to CN202310046103.0A priority Critical patent/CN116203298B/en
Publication of CN116203298A publication Critical patent/CN116203298A/en
Application granted granted Critical
Publication of CN116203298B publication Critical patent/CN116203298B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R1/00Details of instruments or arrangements of the types included in groups G01R5/00 - G01R13/00 and G01R31/00
    • G01R1/36Overload-protection arrangements or circuits for electric measuring instruments
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/0084Arrangements for measuring currents or voltages or for indicating presence or sign thereof measuring voltage only
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/56Testing of electric apparatus

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Power Sources (AREA)

Abstract

The invention discloses a power protection method and a system based on a magnetic coupling digital isolator.

Description

Power protection method and system based on magnetic coupling digital isolator
Technical Field
The invention relates to the technical field of integrated circuits, in particular to a power protection method and system based on a magnetic coupling digital isolator.
Background
The magnetic coupling digital isolator is widely applied to various occasions needing to isolate a high-voltage domain from a low-voltage domain, such as industrial control, automobile electronics, medical electronics and the like, so as to protect a system and a user in the low-voltage domain from voltage injury in the high-voltage domain. In the medical electronics field, electronic devices need to work stably and reliably in very harsh environments such as strong magnetic fields, high surges, large noise, and the like, and in such harsh environments, it is ensured that the magnetically coupled digital isolator is continuously transmitting accurate data, which presents a great challenge to the design of the magnetically coupled digital isolator circuit.
Because the receiving element of the magnetic coupling digital isolator is sensitive and is easily influenced by the capacitive coupling effect, the magnetic coupling digital isolator is invalid in the use process, and if the magnetic coupling digital isolator is invalid for a long time, the isolation effect of the power supply is possibly invalid, so that the electrical safety performance of the input power supply and the output power supply of the magnetic coupling digital isolator is influenced. Therefore, how to continuously monitor and accurately and rapidly detect the operation state of the magnetic coupling digital isolator is a current urgent problem to be solved.
Disclosure of Invention
The invention mainly solves the technical problem of how to accurately and rapidly detect the running state of the magnetic coupling digital isolator.
According to a first aspect, in one embodiment, there is provided a power protection method based on a magnetically coupled digital isolator, including: s1, acquiring an input power supply signal of a continuous time point of a magnetic coupling digital isolator, wherein the input power supply signal comprises the voltage of an input power supply and the current of the input power supply; s2, obtaining an output power supply signal of a continuous time point of the magnetic coupling digital isolator, wherein the output power supply signal comprises the voltage of an output power supply and the current of the output power supply; s3, acquiring a plurality of parameters of the current environment, wherein the parameters of the current environment comprise temperature, humidity and voltage in air; s4, processing and judging the working state of the magnetic coupling digital isolator through a long-short-period neural network model based on a plurality of parameters of the magnetic coupling digital isolator, an input power supply signal of a continuous time point of the magnetic coupling digital isolator, an output power supply signal of a continuous time point of the magnetic coupling digital isolator and a plurality of parameters of the current environment, wherein the input of the long-short-period neural network model comprises the plurality of parameters of the magnetic coupling digital isolator, the input power supply signal of the continuous time point of the magnetic coupling digital isolator, the output power supply signal of the continuous time point of the magnetic coupling digital isolator and the plurality of parameters of the current environment, and the output of the long-short-period neural network model is that the working state of the magnetic coupling digital isolator is normal or abnormal; s5, if the working state of the magnetic coupling digital isolator is abnormal, reminding a user that the working state of the magnetic coupling digital isolator is abnormal through sound or a flashing signal, and calculating an alternative magnetic coupling digital isolator with highest similarity with the magnetic coupling digital isolator to be used for replacing the magnetic coupling digital isolator with the alternative magnetic coupling digital isolator.
In an embodiment, if the working state of the magnetic coupling digital isolator is normal, the working state of the magnetic coupling digital isolator is reminded to a user through sound or a flashing signal.
In one embodiment, the long-short term neural network is trained by a gradient descent method.
In an embodiment, a SimHash value of the specification text data of the magnetic coupling digital isolator and a SimHash value of the specification text data of each of the plurality of magnetic coupling digital isolators to be selected are calculated, a plurality of similarities between the SimHash value of the specification text data corresponding to the magnetic coupling digital isolator and the SimHash value of the specification text data of each of the magnetic coupling digital isolators to be selected are calculated through a hamming distance, and the magnetic coupling digital isolator to be selected corresponding to the specification text data with the highest similarity in the plurality of similarities is used as the alternative magnetic coupling digital isolator.
In one embodiment, the plurality of parameters of the magnetically coupled digital isolator include channel number, channel type, common mode transient immunity, data rate, propagation delay, operating temperature.
According to a second aspect, in one embodiment, there is provided a power protection system based on a magnetically coupled digital isolator, comprising: the first acquisition module is used for acquiring an input power supply signal of a continuous time point of the magnetic coupling digital isolator, wherein the input power supply signal comprises the voltage of an input power supply and the current of the input power supply; the second acquisition module is used for acquiring output power supply signals of continuous time points of the magnetic coupling digital isolator, wherein the output power supply signals comprise voltage of an output power supply and current of the output power supply; the third acquisition module is used for acquiring a plurality of parameters of the current environment, wherein the parameters of the current environment comprise temperature, humidity and voltage in air; the processing module is used for processing and judging the working state of the magnetic coupling digital isolator through a long-short-period neural network model based on a plurality of parameters of the magnetic coupling digital isolator, an input power supply signal of a continuous time point of the magnetic coupling digital isolator, an output power supply signal of a continuous time point of the magnetic coupling digital isolator and a plurality of parameters of the current environment, wherein the input of the long-short-period neural network model comprises the plurality of parameters of the magnetic coupling digital isolator, the input power supply signal of the continuous time point of the magnetic coupling digital isolator, the output power supply signal of the continuous time point of the magnetic coupling digital isolator and the plurality of parameters of the current environment, and the output of the long-short-period neural network model is that the working state of the magnetic coupling digital isolator is normal or abnormal. And the calculation module is used for reminding a user of abnormal working state of the magnetic coupling digital isolator through sound or a flashing signal if the working state of the magnetic coupling digital isolator is abnormal, and calculating an alternative magnetic coupling digital isolator with highest similarity with the magnetic coupling digital isolator so as to replace the magnetic coupling digital isolator with the alternative magnetic coupling digital isolator.
In an embodiment, the computing module is further to: and calculating the SimHash value of the specification text data of the magnetic coupling digital isolator and the SimHash value of the specification text data of each magnetic coupling digital isolator to be selected in the plurality of magnetic coupling digital isolators to be selected, calculating a plurality of similarities between the SimHash value of the specification text data corresponding to the magnetic coupling digital isolator and the SimHash value of the specification text data of each magnetic coupling digital isolator to be selected through a Hamming distance, and taking the magnetic coupling digital isolator to be selected corresponding to the specification text data with the highest similarity in the plurality of similarities as an alternative magnetic coupling digital isolator.
According to a third aspect, an embodiment provides a computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the magnetically coupled digital isolator based power protection method according to any of the first aspect above.
According to a fourth aspect, there is provided in one embodiment an electronic device comprising: a memory; a processor; a computer program; wherein the computer program is stored in the memory and configured to be executed by the processor to implement the method according to the first aspect.
According to a fifth aspect, an embodiment provides a computer readable storage medium having stored thereon a program executable by a processor to implement a method as in any of the first aspects above.
According to the power protection method and the system based on the magnetic coupling digital isolator, provided by the embodiment, the working state of the magnetic coupling digital isolator is obtained by acquiring the input power signal, the output power signal and a plurality of parameters of the current environment at the continuous time point of the magnetic coupling digital isolator and processing the input power signal, the output power signal and the plurality of parameters of the current environment through the long-short-period neural network model, so that the running state of the magnetic coupling digital isolator can be continuously monitored, accurately and rapidly detected.
Drawings
Fig. 1 is a schematic flow chart of a power protection method based on a magnetically coupled digital isolator according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an input power signal and an output power signal for obtaining continuous time points of a magnetically coupled digital isolator according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a magnetically coupled digital isolator in an embodiment of the present invention;
FIG. 4 shows a power protection system based on a magnetically coupled digital isolator according to an embodiment of the present invention;
fig. 5 is a schematic diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The invention will be described in further detail below with reference to the drawings by means of specific embodiments. Wherein like elements in different embodiments are numbered alike in association. In the following embodiments, numerous specific details are set forth in order to provide a better understanding of the present invention. However, one skilled in the art will readily recognize that some of the features may be omitted, or replaced by other elements, materials, or methods in different situations. In some instances, related operations of the present invention have not been shown or described in the specification in order to avoid obscuring the core portions of the present invention, and may be unnecessary to persons skilled in the art from a detailed description of the related operations, which may be presented in the description and general knowledge of one skilled in the art.
Furthermore, the described features, operations, or characteristics of the description may be combined in any suitable manner in various embodiments. Also, various steps or acts in the method descriptions may be interchanged or modified in a manner apparent to those of ordinary skill in the art. Thus, the various orders in the description and drawings are for clarity of description of only certain embodiments, and are not meant to be required orders unless otherwise indicated.
The numbering of the components itself, e.g. "first", "second", etc., is used herein merely to distinguish between the described objects and does not have any sequential or technical meaning. The term "coupled" as used herein includes both direct and indirect coupling (coupling), unless otherwise indicated.
In the embodiment of the invention, a power protection method based on a magnetic coupling digital isolator is provided as shown in fig. 1, and the method comprises the following steps S1-S5:
step S1, an input power supply signal of a continuous time point of the magnetic coupling digital isolator is obtained, wherein the input power supply signal comprises the voltage of an input power supply and the current of the input power supply.
Fig. 2 is a schematic diagram of an input power signal and an output power signal of a magnetic coupling digital isolator for obtaining continuous time points in an embodiment of the present invention, wherein the input power signal, the magnetic coupling digital isolator 22, the output power 23, and the power protection system 24 based on the magnetic coupling digital isolator are included. As shown in fig. 2, the power protection system 24 based on the magnetically coupled digital isolator can acquire the signal of the input power source 21 and the signal of the output power source 23. In some embodiments, the magnetically coupled digital isolator-based power protection system 24 may be a processing circuit, which may be a processor, an integrated circuit, a single-chip microcomputer, or the like. In some embodiments, the magnetically coupled digital isolator-based power protection system 24 may store long and short term neural network models. In some embodiments, the magnetically coupled digital isolator-based power protection system 24 may control the on-off of the magnetically coupled digital isolator 22.
The magnetic coupling digital isolator can prevent current from flowing between an input power supply and an output power supply in a magnetic coupling isolation mode, and can protect a circuit from being damaged by dangerous voltage and current. Fig. 3 is a schematic diagram of a magnetically coupled digital isolator according to an embodiment of the present invention.
In some embodiments, the magnetically coupled digital isolator may further include an encoding module, an isolation transformer including a primary coil and a secondary coil, a decoding module, and a load.
In some embodiments, the input power signal is a PWM (Pulse Width Modulation, pulse width modulated) signal. The input power supply signal at successive time points indicates the voltage of the input power supply and the current of the input power supply corresponding to successive time points. For example, the input power signals of 1-100V-0.1A, 2-200V-0.05A at a plurality of consecutive time points respectively indicate that the voltage of the input power is 100V, the current is 0.1A, and the voltage of the input power is 200V, the current is 0.05A at the second. In some embodiments, the output power signal may be a direct current signal.
And S2, obtaining an output power supply signal of the magnetic coupling digital isolator at a continuous time point, wherein the output power supply signal comprises the voltage of an output power supply and the current of the output power supply.
In some embodiments, the output power signal at successive points in time of the magnetically coupled digital isolator may be a DC direct current signal. The output power supply signals of the continuous time points represent the voltage of the output power supply and the current of the output power supply after the input power supply is isolated by the magnetic coupling isolator corresponding to the continuous time points. For example, the output power supply signals of 1S-100V-0.1A and 2S-50V-0.1A at a plurality of consecutive time points respectively indicate that the voltage of the output power supply is 100V, the current is 0.1A, and the voltage of the output power supply is 50V and the current is 0.1A at the second.
And S3, acquiring a plurality of parameters of the current environment, wherein the plurality of parameters of the current environment comprise temperature, humidity and voltage in air.
The current environment includes multiple parameters representing the working environment of the current magnetic coupling digital isolator, and the temperature, humidity and voltage in the air in the environment affect the working performance of the magnetic coupling digital isolator and also affect the isolation effect of the magnetic coupling digital isolator, for example, if the temperature in the air is too high, the working of the magnetic coupling isolator may be disabled. For another example, if the voltage in the air is too high, the working isolation effect of the magnetic coupling isolator may be weakened, and the input power supply and the output power supply cannot be physically isolated. Therefore, a plurality of parameters of the current environment are required to be acquired as input of the long-short-period neural network model, so that the long-short-period neural network model can synthesize environmental factors, and the final judging result is more accurate.
And S4, processing and judging the working state of the magnetic coupling digital isolator through a long-short-period neural network model based on a plurality of parameters of the magnetic coupling digital isolator, an input power supply signal of a continuous time point of the magnetic coupling digital isolator, an output power supply signal of a continuous time point of the magnetic coupling digital isolator and a plurality of parameters of the current environment, wherein the input of the long-short-period neural network model comprises the plurality of parameters of the magnetic coupling digital isolator, the input power supply signal of the continuous time point of the magnetic coupling digital isolator, the output power supply signal of the continuous time point of the magnetic coupling digital isolator and the plurality of parameters of the current environment, and the output of the long-short-period neural network model is that the working state of the magnetic coupling digital isolator is normal or abnormal.
The plurality of parameters of the magnetically coupled digital isolator include channel number, channel type, common mode transient immunity, data rate, propagation delay, operating temperature.
The working state of the magnetic coupling digital isolator indicates whether the magnetic coupling digital isolator works normally or not at present, and the working state of the magnetic coupling digital isolator is normal or abnormal. In some embodiments, the long-short term neural network model can determine whether the magnetically coupled digital isolator is working properly by inputting power signals and outputting a relationship between the power signals. For example, if the magnetically coupled digital isolator breaks down to form a short circuit, the current of the input power source and the current of the output power source are approximately equal, and for example, if the inductance performance of the magnetic induction coil of the magnetically coupled digital isolator is reduced, resulting in a reduced isolation effect, an interference signal may occur in the output power source signal.
The Long and Short Term neural network model includes a Long and Short Term Memory network (LSTM), which is one of RNNs (RecurrentNeural Network, recurrent neural networks).
The long-term and short-term neural network model can process sequence data with any length, capture sequence information and output results based on the association relationship of front data and rear data in the sequence. The characteristics of the association relation among the working data of each time point can be output and obtained by processing the input power supply signals at the continuous time points and the change sequence of the output power supply signals at the continuous time points through the long-short-term neural network model, so that the output characteristics are more accurate and comprehensive.
The long-term and short-term neural network model can be obtained through training of training samples. The input of the training sample is a plurality of parameters of the magnetic coupling digital isolator, an input power supply signal of a continuous time point of the magnetic coupling digital isolator, an output power supply signal of the continuous time point of the magnetic coupling digital isolator and a plurality of parameters of the current environment, and the output label of the training sample is that the working state of the magnetic coupling digital isolator is normal or abnormal. In some embodiments, the long-short-term neural network model may be trained by a gradient descent method to obtain a trained long-short-term neural network model. Specifically, according to the training sample, constructing a loss function of the long-short term neural network model, adjusting parameters of the long-short term neural network model through the loss function of the long-short term neural network model until the loss function value converges or is smaller than a preset threshold value, and finishing training. The loss function may include, but is not limited to, a log (log) loss function, a square loss function, an exponential loss function, a range loss function, an absolute value loss function, and the like.
After training is completed, a plurality of parameters of the magnetic coupling digital isolator, an input power supply signal of a continuous time point of the magnetic coupling digital isolator, an output power supply signal of the continuous time point of the magnetic coupling digital isolator, and a long-short-period neural network model of the current environment are input, and the working state of the magnetic coupling digital isolator obtained through output is normal or abnormal.
And S5, if the working state of the magnetic coupling digital isolator is abnormal, reminding a user that the working state of the magnetic coupling digital isolator is abnormal through sound or a flashing signal, and calculating an alternative magnetic coupling digital isolator with highest similarity with the magnetic coupling digital isolator to be used for replacing the magnetic coupling digital isolator with the alternative magnetic coupling digital isolator.
In some embodiments, if the output of the long-short period neural network model is that the working state of the magnetic coupling digital isolator is abnormal, a user may be reminded of the abnormal working state of the magnetic coupling digital isolator through a sound or flashing signal. For example, the sound alerts the user that the sound "abnormal operating state" may be made. The flashing signal can be a flashing red signal lamp for prompting the abnormal working state of the user.
In some embodiments, if the working state of the magnetic coupling digital isolator is normal, the user may be reminded that the working state of the magnetic coupling digital isolator is normal through a sound or a flashing signal, for example, the user may be reminded that the working state is normal through a sound. The flashing signal can be a flashing green signal lamp for prompting the user that the working state is normal.
In some embodiments, if the working state of the magnetic coupling digital isolator is abnormal, calculating an alternative magnetic coupling digital isolator with the highest similarity with the magnetic coupling digital isolator, so as to replace the magnetic coupling digital isolator with the alternative magnetic coupling digital isolator.
In some embodiments, a SimHash value of the specification text data of the magnetic coupling digital isolator and a SimHash value of the specification text data of each of the plurality of magnetic coupling digital isolators to be selected may be calculated, a plurality of similarities between the SimHash value of the specification text data corresponding to the magnetic coupling digital isolator and the SimHash value of the specification text data of each of the magnetic coupling digital isolators to be selected may be calculated through a hamming distance, and the magnetic coupling digital isolator to be selected corresponding to the specification text data with the highest similarity among the plurality of similarities may be used as the alternative magnetic coupling digital isolator.
The specification text data of the magnetic coupling digital isolator represent the specification text data of the magnetic coupling digital isolator attached to a manufacturer corresponding to the magnetic coupling digital isolator.
After the magnetic coupling digital isolator breaks down, the measurement precision of the instrument and equipment can be affected, and if the instrument and equipment are stopped for a long time, the subsequent other instrument and equipment cannot work normally in a large area, so that the problem of the fault of the magnetic coupling digital isolator needs to be solved as soon as possible. Because the currently selected magnetic coupling digital isolator is a digital isolator which is more practical and is manually reselected, all data of the digital isolator which is the most similar to the current digital isolator are the most similar to the current digital isolator, and the digital isolator can be used as a standby digital isolator for quick access, so that the fault processing efficiency of the magnetic coupling digital isolator is improved, and the shutdown of a large number of subsequent mechanical equipment is avoided.
Based on the same inventive concept, fig. 4 is a schematic diagram of a power protection system 24 based on a magnetically coupled digital isolator according to an embodiment of the present invention, including:
a first acquisition module 41, configured to acquire an input power signal at successive time points of the magnetically coupled digital isolator, where the input power signal includes a voltage of an input power and a current of the input power;
a second obtaining module 42, configured to obtain an output power signal of a continuous time point of the magnetically coupled digital isolator, where the output power signal includes a voltage of an output power source and a current of the output power source;
a third obtaining module 43, configured to obtain a plurality of parameters of the current environment, where the plurality of parameters of the current environment include temperature, humidity, and voltage in air;
the processing module 44 is configured to determine, by processing through a long-short neural network model, an operating state of the magnetically coupled digital isolator based on a plurality of parameters of the magnetically coupled digital isolator, an input power signal of a continuous time point of the magnetically coupled digital isolator, an output power signal of a continuous time point of the magnetically coupled digital isolator, and a plurality of parameters of the current environment, where an input of the long-short neural network model includes the plurality of parameters of the magnetically coupled digital isolator, the input power signal of the continuous time point of the magnetically coupled digital isolator, the output power signal of the continuous time point of the magnetically coupled digital isolator, and the plurality of parameters of the current environment, and an output of the long-short neural network model is that the operating state of the magnetically coupled digital isolator is normal or abnormal.
And the calculating module 45 is configured to prompt a user that the working state of the magnetic coupling digital isolator is abnormal through a sound or a flashing signal if the working state of the magnetic coupling digital isolator is abnormal, and calculate an alternative magnetic coupling digital isolator with the highest similarity with the magnetic coupling digital isolator, so as to replace the magnetic coupling digital isolator with the alternative magnetic coupling digital isolator.
Based on the same inventive concept, an embodiment of the present invention provides an electronic device, as shown in fig. 5, including:
a processor 51; a memory 52 for storing executable program instructions in the processor 51; wherein the processor 51 is configured to execute to implement a magnetically coupled digital isolator-based power protection method as provided above, the method comprising:
s1, acquiring an input power supply signal of a continuous time point of a magnetic coupling digital isolator, wherein the input power supply signal comprises the voltage of an input power supply and the current of the input power supply; s2, obtaining an output power supply signal of a continuous time point of the magnetic coupling digital isolator, wherein the output power supply signal comprises the voltage of an output power supply and the current of the output power supply; s3, acquiring a plurality of parameters of the current environment, wherein the parameters of the current environment comprise temperature, humidity and voltage in air; s4, processing and judging the working state of the magnetic coupling digital isolator through a long-short-period neural network model based on a plurality of parameters of the magnetic coupling digital isolator, an input power supply signal of a continuous time point of the magnetic coupling digital isolator, an output power supply signal of a continuous time point of the magnetic coupling digital isolator and a plurality of parameters of the current environment, wherein the input of the long-short-period neural network model comprises the plurality of parameters of the magnetic coupling digital isolator, the input power supply signal of the continuous time point of the magnetic coupling digital isolator, the output power supply signal of the continuous time point of the magnetic coupling digital isolator and the plurality of parameters of the current environment, and the output of the long-short-period neural network model is that the working state of the magnetic coupling digital isolator is normal or abnormal; s5, if the working state of the magnetic coupling digital isolator is abnormal, reminding a user that the working state of the magnetic coupling digital isolator is abnormal through sound or a flashing signal, and calculating an alternative magnetic coupling digital isolator with highest similarity with the magnetic coupling digital isolator to be used for replacing the magnetic coupling digital isolator with the alternative magnetic coupling digital isolator.
Based on the same inventive concept, the present embodiment provides a non-transitory computer readable storage medium, which when instructions in the storage medium are executed by the processor 51 of the electronic device, enables the electronic device to perform a power protection method based on the magnetically coupled digital isolator as provided above, the method comprising S1, acquiring an input power signal of a continuous time point of the magnetically coupled digital isolator, the input power signal comprising a voltage of an input power, a current of the input power; s2, obtaining an output power supply signal of a continuous time point of the magnetic coupling digital isolator, wherein the output power supply signal comprises the voltage of an output power supply and the current of the output power supply; s3, acquiring a plurality of parameters of the current environment, wherein the parameters of the current environment comprise temperature, humidity and voltage in air; s4, processing and judging the working state of the magnetic coupling digital isolator through a long-short-period neural network model based on a plurality of parameters of the magnetic coupling digital isolator, an input power supply signal of a continuous time point of the magnetic coupling digital isolator, an output power supply signal of a continuous time point of the magnetic coupling digital isolator and a plurality of parameters of the current environment, wherein the input of the long-short-period neural network model comprises the plurality of parameters of the magnetic coupling digital isolator, the input power supply signal of the continuous time point of the magnetic coupling digital isolator, the output power supply signal of the continuous time point of the magnetic coupling digital isolator and the plurality of parameters of the current environment, and the output of the long-short-period neural network model is that the working state of the magnetic coupling digital isolator is normal or abnormal; s5, if the working state of the magnetic coupling digital isolator is abnormal, reminding a user that the working state of the magnetic coupling digital isolator is abnormal through sound or a flashing signal, and calculating an alternative magnetic coupling digital isolator with highest similarity with the magnetic coupling digital isolator to be used for replacing the magnetic coupling digital isolator with the alternative magnetic coupling digital isolator.
Based on the same inventive concept, the present embodiment also provides a computer program product, which when executed by a processor, implements the power protection method based on the magnetic coupling digital isolator as provided above.
While the basic concepts have been described above, it will be apparent to those skilled in the art that the foregoing detailed disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements, and adaptations to the present disclosure may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within this specification, and therefore, such modifications, improvements, and modifications are intended to be included within the spirit and scope of the exemplary embodiments of the present invention.
Meanwhile, the specification uses specific words to describe the embodiments of the specification. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic is associated with at least one embodiment of the present description. Thus, it should be emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various positions in this specification are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the present description may be combined as suitable.
Furthermore, the order in which the elements and sequences are processed, the use of numerical letters, or other designations in the description are not intended to limit the order in which the processes and methods of the description are performed unless explicitly recited in the claims. While certain presently useful inventive embodiments have been discussed in the foregoing disclosure, by way of various examples, it is to be understood that such details are merely illustrative and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements included within the spirit and scope of the embodiments of the present disclosure. For example, while the system components described above may be implemented by hardware devices, they may also be implemented solely by software solutions, such as installing the described system on an existing server or mobile device.
Likewise, it should be noted that in order to simplify the presentation disclosed in this specification and thereby aid in understanding one or more inventive embodiments, various features are sometimes grouped together in a single embodiment, figure, or description thereof. This method of disclosure, however, is not intended to imply that more features than are presented in the claims are required for the present description. Indeed, less than all of the features of a single embodiment disclosed above.
Finally, it should be understood that the embodiments described in this specification are merely illustrative of the principles of the embodiments of this specification. Other variations are possible within the scope of this description. Thus, by way of example, and not limitation, alternative configurations of embodiments of the present specification may be considered as consistent with the teachings of the present specification. Accordingly, the embodiments of the present specification are not limited to only the embodiments explicitly described and depicted in the present specification.

Claims (7)

1. The power protection method based on the magnetic coupling digital isolator is characterized by comprising the following steps of:
s1, acquiring an input power supply signal of a continuous time point of a magnetic coupling digital isolator, wherein the input power supply signal comprises the voltage of an input power supply and the current of the input power supply;
s2, obtaining an output power supply signal of a continuous time point of the magnetic coupling digital isolator, wherein the output power supply signal comprises the voltage of an output power supply and the current of the output power supply;
s3, acquiring a plurality of parameters of the current environment, wherein the parameters of the current environment comprise temperature, humidity and voltage in air;
s4, based on a plurality of parameters of the magnetic coupling digital isolator, an input power supply signal of a continuous time point of the magnetic coupling digital isolator, an output power supply signal of the continuous time point of the magnetic coupling digital isolator and a plurality of parameters of the current environment, judging the working state of the magnetic coupling digital isolator through processing by a long-short-period neural network model, wherein the input of the long-short-period neural network model comprises a plurality of parameters of the magnetic coupling digital isolator, an input power supply signal of the continuous time point of the magnetic coupling digital isolator, an output power supply signal of the continuous time point of the magnetic coupling digital isolator and a plurality of parameters of the current environment, the output of the long-short-period neural network model is that the working state of the magnetic coupling digital isolator is normal or abnormal, the plurality of parameters of the magnetic coupling digital isolator comprise the number of channels, the type of channels, common-mode transient immunity, the data rate, the propagation delay and the working temperature, and the long-short-period neural network judges whether the magnetic coupling digital isolator works normally or not through the relation among the input power supply signals and the output power supply signals;
s5, if the working state of the magnetic coupling digital isolator is abnormal, reminding a user that the working state of the magnetic coupling digital isolator is abnormal through sound or a flashing signal, and calculating an alternative magnetic coupling digital isolator with highest similarity with the magnetic coupling digital isolator to be used for replacing the magnetic coupling digital isolator with the alternative magnetic coupling digital isolator; the alternative magnetic coupling digital isolator with highest similarity with the magnetic coupling digital isolator is calculated, and comprises the following components: the method comprises the steps of calculating a SimHash value of the specification text data of the magnetic coupling digital isolator and a SimHash value of the specification text data of each of a plurality of magnetic coupling digital isolators to be selected, calculating a plurality of similarities between the SimHash value of the specification text data corresponding to the magnetic coupling digital isolator and the SimHash value of the specification text data of each magnetic coupling digital isolator to be selected through a Hamming distance, and taking the magnetic coupling digital isolator to be selected corresponding to the specification text data with the highest similarity in the plurality of similarities as an alternative magnetic coupling digital isolator, wherein the specification text data of the magnetic coupling digital isolator represents the specification text data of the magnetic coupling digital isolator attached to a manufacturer corresponding to the magnetic coupling digital isolator.
2. The method for protecting a power supply based on a magnetically coupled digital isolator as claimed in claim 1, further comprising: and if the working state of the magnetic coupling digital isolator is normal, reminding a user that the working state of the magnetic coupling digital isolator is normal through sound or a flashing signal.
3. The method for protecting a power supply based on a magnetically coupled digital isolator as claimed in claim 1, comprising: the long-term and short-term neural network is obtained through training by a gradient descent method.
4. A power protection system based on a magnetically coupled digital isolator, comprising:
the first acquisition module is used for acquiring an input power supply signal of a continuous time point of the magnetic coupling digital isolator, wherein the input power supply signal comprises the voltage of an input power supply and the current of the input power supply;
the second acquisition module is used for acquiring output power supply signals of continuous time points of the magnetic coupling digital isolator, wherein the output power supply signals comprise voltage of an output power supply and current of the output power supply;
the third acquisition module is used for acquiring a plurality of parameters of the current environment, wherein the parameters of the current environment comprise temperature, humidity and voltage in air;
the processing module is used for processing and judging the working state of the magnetic coupling digital isolator through a long-short-period neural network model based on a plurality of parameters of the magnetic coupling digital isolator, an input power supply signal of a continuous time point of the magnetic coupling digital isolator, an output power supply signal of the continuous time point of the magnetic coupling digital isolator and a plurality of parameters of the current environment, wherein the input of the long-short-period neural network model comprises the plurality of parameters of the magnetic coupling digital isolator, the input power supply signal of the continuous time point of the magnetic coupling digital isolator, the output power supply signal of the continuous time point of the magnetic coupling digital isolator and the plurality of parameters of the current environment, the output of the long-short-period neural network model is that the working state of the magnetic coupling digital isolator is normal or abnormal, the plurality of parameters of the magnetic coupling digital isolator comprise channel number, channel type, common mode transient immunity, data rate, propagation delay and working temperature, and the long-short-period neural network model judges whether the magnetic coupling digital isolator works normally or not through the relation among the input power supply signals and the output power supply signals;
the computing module is used for reminding a user that the working state of the magnetic coupling digital isolator is abnormal through sound or a flashing signal if the working state of the magnetic coupling digital isolator is abnormal, and computing an alternative magnetic coupling digital isolator with highest similarity with the magnetic coupling digital isolator to be used for replacing the magnetic coupling digital isolator with the alternative magnetic coupling digital isolator, and is also used for: and calculating the SimHash value of the specification text data of the magnetic coupling digital isolator and the SimHash value of the specification text data of each magnetic coupling digital isolator to be selected in the plurality of magnetic coupling digital isolators to be selected, calculating a plurality of similarities between the SimHash value of the specification text data corresponding to the magnetic coupling digital isolator and the SimHash value of the specification text data of each magnetic coupling digital isolator to be selected through a Hamming distance, and taking the magnetic coupling digital isolator to be selected corresponding to the specification text data with the highest similarity in the plurality of similarities as an alternative magnetic coupling digital isolator.
5. A computer program product comprising a computer program which, when executed by a processor, implements the steps of the magnetically coupled digital isolator-based power protection method according to any one of claims 1 to 3.
6. An electronic device, comprising: a memory; a processor; a computer program; wherein the computer program is stored in the memory and configured to be executed by the processor to implement the steps of the magnetically coupled digital isolator-based power protection method according to any one of claims 1 to 3.
7. A computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements the corresponding steps of the magnetically coupled digital isolator based power protection method according to any one of claims 1 to 3.
CN202310046103.0A 2023-01-31 2023-01-31 Power protection method and system based on magnetic coupling digital isolator Active CN116203298B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310046103.0A CN116203298B (en) 2023-01-31 2023-01-31 Power protection method and system based on magnetic coupling digital isolator

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310046103.0A CN116203298B (en) 2023-01-31 2023-01-31 Power protection method and system based on magnetic coupling digital isolator

Publications (2)

Publication Number Publication Date
CN116203298A CN116203298A (en) 2023-06-02
CN116203298B true CN116203298B (en) 2024-04-02

Family

ID=86510610

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310046103.0A Active CN116203298B (en) 2023-01-31 2023-01-31 Power protection method and system based on magnetic coupling digital isolator

Country Status (1)

Country Link
CN (1) CN116203298B (en)

Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5747892A (en) * 1997-01-06 1998-05-05 Brunswick Corporation Galvanic isolator fault monitor
EP1617577A2 (en) * 2004-07-16 2006-01-18 NEC Compound Semiconductor Devices, Ltd. Isolator for an optical receiver
CN101645708A (en) * 2009-07-21 2010-02-10 叶克江 Linear isolating circuit based on optical couplers and method
WO2015150131A1 (en) * 2014-04-04 2015-10-08 Robert Bosch Gmbh Method for monitoring the state of the earthing contacts of a contactor controllable by means of an exciter coil
CN109949531A (en) * 2019-03-15 2019-06-28 南京工程学院 A kind of wireless face isolating device based on deep learning and LF communication array
CN110260458A (en) * 2019-05-07 2019-09-20 珠海格力电器股份有限公司 Equipment obstacle management method, system, controller, air-conditioning and multi-online air-conditioning system
CN110502777A (en) * 2019-07-03 2019-11-26 国网江苏省电力有限公司南京供电分公司 IGBT module condition detecting system and method based on neural network prediction
CN111047732A (en) * 2019-12-16 2020-04-21 青岛海信网络科技股份有限公司 Equipment abnormity diagnosis method and device based on energy consumption model and data interaction
CN111106621A (en) * 2019-12-05 2020-05-05 全球能源互联网研究院有限公司 Harmonic isolation power supply device with low voltage ride through function and control method
CN111157886A (en) * 2020-01-07 2020-05-15 华东交通大学 Contact net isolating switch fault diagnosis method
CN111612129A (en) * 2020-05-14 2020-09-01 国网江苏省电力有限公司电力科学研究院 Method and device for predicting state of isolating switch and storage medium
CN113219330A (en) * 2021-05-26 2021-08-06 广西电网有限责任公司电力科学研究院 Method and system for detecting state of isolating switch
CN113419166A (en) * 2021-06-30 2021-09-21 中关村芯海择优科技有限公司 Relay state detection system and method
WO2021212752A1 (en) * 2020-04-23 2021-10-28 平安科技(深圳)有限公司 Device index data-based anomaly detection method and apparatus, device, and storage medium
US11341306B1 (en) * 2021-03-12 2022-05-24 Lite-On Singapore Pte. Ltd. Method for building spice circuit model of an optical coupler
CN115563868A (en) * 2022-09-30 2023-01-03 陕西航空电气有限责任公司 Fault diagnosis method and device for oil circuit system of aviation alternating-current generator
CN115639418A (en) * 2022-09-27 2023-01-24 中国科学院自动化研究所 Isolator withstand voltage life evaluation method and device and electronic equipment

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012049572A1 (en) * 2010-10-14 2012-04-19 Sendyne Corp. Reliable signaling of fault conditions in battery systems with series-connected cells

Patent Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5747892A (en) * 1997-01-06 1998-05-05 Brunswick Corporation Galvanic isolator fault monitor
EP1617577A2 (en) * 2004-07-16 2006-01-18 NEC Compound Semiconductor Devices, Ltd. Isolator for an optical receiver
CN101645708A (en) * 2009-07-21 2010-02-10 叶克江 Linear isolating circuit based on optical couplers and method
WO2015150131A1 (en) * 2014-04-04 2015-10-08 Robert Bosch Gmbh Method for monitoring the state of the earthing contacts of a contactor controllable by means of an exciter coil
CN109949531A (en) * 2019-03-15 2019-06-28 南京工程学院 A kind of wireless face isolating device based on deep learning and LF communication array
CN110260458A (en) * 2019-05-07 2019-09-20 珠海格力电器股份有限公司 Equipment obstacle management method, system, controller, air-conditioning and multi-online air-conditioning system
CN110502777A (en) * 2019-07-03 2019-11-26 国网江苏省电力有限公司南京供电分公司 IGBT module condition detecting system and method based on neural network prediction
CN111106621A (en) * 2019-12-05 2020-05-05 全球能源互联网研究院有限公司 Harmonic isolation power supply device with low voltage ride through function and control method
CN111047732A (en) * 2019-12-16 2020-04-21 青岛海信网络科技股份有限公司 Equipment abnormity diagnosis method and device based on energy consumption model and data interaction
CN111157886A (en) * 2020-01-07 2020-05-15 华东交通大学 Contact net isolating switch fault diagnosis method
WO2021212752A1 (en) * 2020-04-23 2021-10-28 平安科技(深圳)有限公司 Device index data-based anomaly detection method and apparatus, device, and storage medium
CN111612129A (en) * 2020-05-14 2020-09-01 国网江苏省电力有限公司电力科学研究院 Method and device for predicting state of isolating switch and storage medium
US11341306B1 (en) * 2021-03-12 2022-05-24 Lite-On Singapore Pte. Ltd. Method for building spice circuit model of an optical coupler
CN113219330A (en) * 2021-05-26 2021-08-06 广西电网有限责任公司电力科学研究院 Method and system for detecting state of isolating switch
CN113419166A (en) * 2021-06-30 2021-09-21 中关村芯海择优科技有限公司 Relay state detection system and method
CN115639418A (en) * 2022-09-27 2023-01-24 中国科学院自动化研究所 Isolator withstand voltage life evaluation method and device and electronic equipment
CN115563868A (en) * 2022-09-30 2023-01-03 陕西航空电气有限责任公司 Fault diagnosis method and device for oil circuit system of aviation alternating-current generator

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
基于XGBoost的集成式隔离断路器状态评估;李劲彬;夏天;黄烁;方华亮;胡傲;韩柳;;高电压技术;20200531(05);全文 *
数字隔离器在开关电源中替代光耦实现隔离反馈的技术研究;吴超;;科学技术创新;20180525(15);全文 *

Also Published As

Publication number Publication date
CN116203298A (en) 2023-06-02

Similar Documents

Publication Publication Date Title
CN110579682B (en) Fault recording data transient homologous comparison method and device
EP3130931B1 (en) Leakage current detection circuit, direct-current high-voltage system, and leakage current detection method and device
EP3483616B1 (en) Detection circuit and detection method
US9254849B1 (en) Device and method for interfacing with a locomotive engine
KR20170086601A (en) DETECTING GROUND ISOLATION FAULT IN ETHERNET PoDL SYSTEM
EP2527854B1 (en) Systems and methods for determining electrical faults
EP3496222B1 (en) Earth leakage circuit breaker based on the ratio of a specific harmonic current component to the fundamental wave current component
KR101904875B1 (en) Electric power meter capable of monitoring contact status of latch relay
EP3560054B1 (en) A method for detecting inrush and ct saturation and an intelligent electronic device therefor
CN107907831B (en) Winding temperature detection circuit, temperature detection control system and temperature detector
Wang et al. Novel transmission-line pilot protection based on frequency-domain model recognition
EP2637276A1 (en) Protection circuit for lithium-ion battery
CN108872911A (en) A kind of Hall current sensor response curve automatic detection device and detection method
CN112630682A (en) Fault detection method, device and equipment of sensor
CN116203298B (en) Power protection method and system based on magnetic coupling digital isolator
EP2135144A1 (en) Machine condition monitoring using pattern rules
CN201555911U (en) On-line monitoring device of intelligent arrester
EP3565076A1 (en) Protection circuit and air conditioner
CN110687439A (en) Fault detection circuit and fault detection method for high-side drive switch
CN110843598B (en) Temperature acquisition compensation method and circuit and battery management system of electric equipment
RU2650695C2 (en) Method and device for monitoring transformer state
CN102967329A (en) Switch cabinet monitoring alarming device
CN101345408A (en) Method for assigning a residual current to one of the three phase currents of a three-phase system and residual current protection switch
CN114089079A (en) Anti-interference test system
CN109782163B (en) Short circuit detection device and method for magnetic flux constraint type current limiting switch

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant