CN113640699B - Fault judgment method, system and equipment for microcomputer control type alternating current and direct current power supply system - Google Patents
Fault judgment method, system and equipment for microcomputer control type alternating current and direct current power supply system Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/40—Testing power supplies
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- G01D—MEASURING 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
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- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/40—Testing power supplies
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06N5/02—Knowledge representation; Symbolic representation
- G06N5/022—Knowledge engineering; Knowledge acquisition
- G06N5/025—Extracting rules from data
Abstract
The invention belongs to the technical field of deep learning and prediction, and particularly relates to a fault judgment method, a fault judgment system and fault judgment equipment for a microcomputer control type alternating current and direct current power supply system, aiming at solving the problems that the implicit connection among components cannot be calculated in the existing fault analysis method, and the fault types which are not found manually cannot be noticed. The invention comprises the following steps: the method comprises the steps of obtaining environmental information and operation parameters of all parts of the whole alternating current and direct current power supply system, extracting the relation between each parameter and a fault type through an Apriori algorithm and a convolutional neural network, diagnosing implementation data to obtain a judgment result, and recommending a maintenance scheme according to the judgment result. The invention acquires the implicit relationship among the components, further improves the accuracy of fault analysis, realizes the automatic addition of the faults possibly caused by the factors neglected only by manual experience, improves the universality of fault analysis, increases the expandability and can discover new faults and actively cope with the new faults.
Description
Technical Field
The invention belongs to the field of deep learning, and particularly relates to a fault judgment method, a fault judgment system and fault judgment equipment for a microcomputer control type alternating current and direct current power supply system.
Background
The microcomputer control type AC/DC power supply system is widely applied to various power plants, transformer substations, railways, petrifaction, industrial and mining, enterprise and public institutions, large-scale building power distribution and other occasions needing AC/DC operation power supply due to the characteristics of intellectualization and uninterrupted AC/DC operation.
In order to enable an ac/dc power supply system to realize real unattended full-automatic uninterrupted operation power supply, realize automatic switching of an ac power supply, automatic constant current charging, voltage-stabilizing charging and equalizing charging, automatically select a charging mode according to the state of a battery, automatically switch the charging modes and states of equalizing charging and floating charging, fast charging and floating charging, current-stabilizing charging and floating charging and the like, and enable the system to be always in an optimal working state, a method capable of analyzing system faults is needed.
The existing fault analysis method usually sets a certain parameter of a certain component to reach a certain threshold value according to the historical experience of engineers, so that a fault occurs, and does not consider the implicit connection among various components, namely, the situation that the parameter of a certain component is still in a reasonable range but causes another component to be damaged more quickly and the like.
Disclosure of Invention
In order to solve the above problems in the prior art, that is, the existing fault analysis method cannot calculate the implicit connection between the components and cannot notice the fault type which is not found manually, the invention provides a fault judgment method for a microcomputer control type alternating current and direct current power supply system, which is applied to a microcomputer control type alternating current and direct current power supply system and comprises a working power supply, a rectifier module circuit, an alternating current power distribution circuit, a direct current power distribution circuit and a storage battery circuit, and a working power supply monitoring component, a rectifier module monitoring component, an alternating current power distribution monitoring component, a direct current power distribution monitoring component and a storage battery monitoring component are correspondingly configured; the method comprises the following steps:
step S100, arranging an environment sensor at each point position of the AC/DC power supply system to acquire environment information of the whole AC/DC power supply system;
step S200, acquiring working power supply operation parameters, rectifier module operation parameters, alternating current distribution operation parameters, direct current distribution operation parameters and storage battery operation parameters through the working power supply monitoring assembly, the rectifier module monitoring assembly, the alternating current distribution monitoring assembly, the direct current distribution monitoring assembly and the storage battery monitoring assembly;
step S300, constructing and copying an artificial experience diagnosis library;
step S400, based on any artificial experience diagnosis library, performing feature extraction on the working power supply operation parameters, the rectifier module operation parameters, the alternating current distribution operation parameters, the direct current distribution operation parameters, the storage battery operation parameters and historical records of environment information through an Apriori algorithm and a convolutional neural network, extracting the relation between an operation state and a fault type, and constructing an implicit relation diagnosis model;
step S500, inputting the environmental information, the operating parameters of the working power supply, the operating parameters of the rectifier module, the operating parameters of the alternating current power distribution, the operating parameters of the direct current power distribution and the operating parameters of the storage battery into an artificial experience diagnosis library and an implicit relation diagnosis model together to obtain a comprehensive judgment result;
and step S600, recommending a maintenance scheme from a maintenance scheme library based on the comprehensive judgment result.
In some preferred embodiments, the method further comprises:
step S700, recording the maintenance scheme of each maintenance, the time of normal operation of the whole AC/DC power supply system after the maintenance, the time of normal operation of the corresponding component after the maintenance, the maintenance duration and the maintenance cost, obtaining maintenance effect evaluation, and updating the maintenance effect evaluation of the corresponding maintenance scheme in the maintenance scheme library.
In some preferred embodiments, if a plurality of microcomputer-controlled ac/dc power supply systems jointly form a complete power supply total system, the operating parameters of the working power supply, the operating parameters of the rectifier module, the operating parameters of the ac power distribution, the operating parameters of the dc power distribution, the operating parameters of the storage battery and the environmental information of all the microcomputer-controlled ac/dc power supply systems are jointly input into the implicit relationship diagnosis model.
In some preferred embodiments, the environmental information includes an ambient temperature and an ambient humidity;
the operating parameters include internal resistance, current magnitude, voltage magnitude, circuit component temperature, charging current, and discharging current.
In some preferred embodiments, the method further includes a step of automatically updating the fault type, specifically: when the output of the microcomputer control type alternating current and direct current power supply system is abnormal, the manual experience diagnosis library has no matched fault type, and the probability of multiple fault types in the implicit relation diagnosis model is close to or the probability of all the existing fault types is lower than a preset threshold value, a new fault type is created, and corresponding environment information and operation parameters are stored to establish a new operation state-fault type relation.
In some preferred embodiments, the maintenance protocol comprises:
setting a normal operation reference value, a reasonable operation threshold value and a fault threshold value of various operation modes for each operation information; the distance between the fault threshold and the normal operation reference value is larger than the distance between the reasonable operation threshold and the normal operation reference value;
when all the operation parameters belong to the normal operation reference values, no maintenance scheme is recommended;
when the operating parameters deviate from the reference value but are still in a reasonable operating threshold value, evaluating the performance of the components at the corresponding positions and the time length of the deviation from the reference value according to the judgment result, and if the time length of the deviation from the reference value is less than half of the time of the normal operation of the whole alternating current and direct current power supply system after the maintenance of the corresponding components in the historical record and the performance of the components at the corresponding positions is still in a standard level, preferentially considering the replacement of other operating modes with smaller load of the alternating current and direct current power supply system;
and when the operating parameters exceed the reasonable operating threshold but do not exceed the fault threshold, preferentially considering that the hot backup module is adopted to replace the corresponding component for working, and sending out a replacement warning, and if the available hot backup module does not exist, closing the working of the corresponding component and sending out a maintenance or replacement warning.
In some preferred embodiments, the relationship between the operating state and the fault type may also be a reference value, a reasonable operation threshold value and a fault threshold value for a combined operating parameter obtained by performing principal component analysis on different combinations of operating parameters, and recommend a maintenance scheme.
In another aspect of the present invention, a fault determination system for a microcomputer-controlled ac/dc power system is provided, which includes: the system comprises an environmental information acquisition unit, an operation parameter acquisition unit, an artificial experience diagnosis library construction unit, an implicit relation diagnosis model construction unit, a comprehensive analysis unit and a maintenance scheme recommendation unit;
the environment information acquisition unit is configured to arrange an environment sensor at each point of the AC/DC power supply system to acquire environment information of the whole AC/DC power supply system;
the operation parameter acquisition unit is configured to acquire operation parameters of the working power supply, operation parameters of the rectification module, operation parameters of the alternating current distribution, operation parameters of the direct current distribution and operation parameters of the storage battery through the working power supply monitoring assembly, the rectification module monitoring assembly, the alternating current distribution monitoring assembly, the direct current distribution monitoring assembly and the storage battery monitoring assembly;
the artificial experience diagnosis library construction unit is configured to construct and copy an artificial experience diagnosis library;
the implicit relation diagnosis model building unit is configured to perform feature extraction on the working power supply operation parameters, the rectifier module operation parameters, the alternating current distribution operation parameters, the direct current distribution operation parameters, the storage battery operation parameters and historical records of environment information through an Apriori algorithm and a convolutional neural network based on any artificial experience diagnosis library, and extract a relation between an operation state and a fault type to build an implicit relation diagnosis model;
the comprehensive analysis unit is configured to input the environmental information, the operating parameters of the working power supply, the operating parameters of the rectifier module, the operating parameters of the alternating current power distribution, the operating parameters of the direct current power distribution and the operating parameters of the storage battery into an artificial experience diagnosis library and an implicit relation diagnosis model together to obtain a comprehensive judgment result;
and the maintenance scheme recommending unit is configured to recommend the maintenance scheme from the maintenance scheme library based on the comprehensive judgment result.
In a third aspect of the present invention, an electronic device is provided, including: at least one processor; and a memory communicatively coupled to at least one of the processors; the memory stores instructions executable by the processor, and the instructions are used for being executed by the processor to realize the fault judgment method of the microcomputer control type alternating current and direct current power supply system.
In a fourth aspect of the present invention, a computer-readable storage medium is provided, where computer instructions are stored in the computer-readable storage medium, and the computer instructions are used for being executed by the computer to implement the above-mentioned microcomputer-controlled ac/dc power system fault determination method.
The invention has the beneficial effects that:
(1) according to the invention, the operation parameters and the environmental parameters of all the devices of the whole alternating current and direct current power supply system or the total system are extracted through the Apriori algorithm and the convolutional neural network to obtain the implicit relationship among the components, so that the accuracy of fault analysis is improved.
(2) The invention sets a method for automatically updating the fault type, automatically adds the fault possibly caused by the factors neglected only by manual experience, improves the universality of fault analysis, increases the expandability, and can discover new faults and actively deal with the new faults.
(3) According to the invention, the normal operation time of the whole system and the normal operation time of the corresponding component of each maintenance are recorded, so that the effect of each maintenance can be evaluated, the optimal maintenance scheme can be recommended to the same type of equipment with similar working conditions, and the maintenance cost is reduced.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is a method for determining a fault in a microcomputer-controlled AC/DC power system according to an embodiment of the present invention;
FIG. 2 is a block diagram of a computer system of a server for implementing embodiments of the method, system, and apparatus of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
The invention provides a fault judgment method for a microcomputer control type alternating current and direct current power supply system, which obtains the implicit relation among all components by simultaneously extracting the relevant relation among equipment through an Apriori algorithm and a convolutional neural network according to the operation parameters and the environmental parameters of all equipment of the whole alternating current and direct current power supply system or a total system, thereby improving the accuracy of fault analysis. The method comprises the following steps:
step S100, arranging an environment sensor at each point position of the AC/DC power supply system to acquire environment information of the whole AC/DC power supply system;
step S200, acquiring working power supply operation parameters, rectifier module operation parameters, alternating current distribution operation parameters, direct current distribution operation parameters and storage battery operation parameters through the working power supply monitoring assembly, the rectifier module monitoring assembly, the alternating current distribution monitoring assembly, the direct current distribution monitoring assembly and the storage battery monitoring assembly;
step S300, constructing and copying an artificial experience diagnosis library;
step S400, based on any artificial experience diagnosis library, performing feature extraction on the working power supply operation parameters, the rectifier module operation parameters, the alternating current distribution operation parameters, the direct current distribution operation parameters, the storage battery operation parameters and historical records of environment information through an Apriori algorithm and a convolutional neural network, extracting the relation between an operation state and a fault type, and constructing an implicit relation diagnosis model;
step S500, inputting the environmental information, the operating parameters of the working power supply, the operating parameters of the rectifier module, the operating parameters of the alternating current power distribution, the operating parameters of the direct current power distribution and the operating parameters of the storage battery into an artificial experience diagnosis library and an implicit relation diagnosis model together to obtain a comprehensive judgment result;
and step S600, recommending a maintenance scheme from a maintenance scheme library based on the comprehensive judgment result.
In order to more clearly explain the fault determination method of the microcomputer-controlled ac/dc power system of the present invention, the following will describe each step in the embodiment of the present invention in detail with reference to fig. 1.
The fault judgment method of the microcomputer control type alternating current and direct current power supply system is applied to a microcomputer control type alternating current and direct current power supply system, comprises a working power supply, a rectifier module circuit, an alternating current power distribution circuit, a direct current power distribution circuit and a storage battery circuit, and is correspondingly provided with a working power supply monitoring component, a rectifier module monitoring component, an alternating current power distribution monitoring component, a direct current power distribution monitoring component and a storage battery monitoring component; the method comprises the following steps of S100-S600, wherein the steps are described in detail as follows:
step S100, arranging an environment sensor at each point position of the AC/DC power supply system to acquire environment information of the whole AC/DC power supply system;
step S200, acquiring working power supply operation parameters, rectifier module operation parameters, alternating current distribution operation parameters, direct current distribution operation parameters and storage battery operation parameters through the working power supply monitoring assembly, the rectifier module monitoring assembly, the alternating current distribution monitoring assembly, the direct current distribution monitoring assembly and the storage battery monitoring assembly;
in this embodiment, the environmental information includes an ambient temperature and an ambient humidity; preferably, vibration information and particle concentration information can also be included;
the operating parameters include internal resistance, current magnitude, voltage magnitude, circuit component temperature, charging current, and discharging current.
Step S300, constructing and copying an artificial experience diagnosis library;
step S400, based on any artificial experience diagnosis library, performing feature extraction on the working power supply operation parameters, the rectifier module operation parameters, the alternating current distribution operation parameters, the direct current distribution operation parameters, the storage battery operation parameters and historical records of environment information through an Apriori algorithm and a convolutional neural network, extracting the relation between an operation state and a fault type, and constructing an implicit relation diagnosis model;
in this embodiment, firstly, according to the experience of a technician, what kind of parameters reach what kind of states and correspond to what kind of fault types and the relation between fault degrees are input into a manual experience diagnosis library, and the manual experience library reflects the problem of 'commonality' which easily occurs in the same type of alternating current and direct current power supply system; on the basis of the manual experience diagnosis library, the judgment conditions of the fault types under the specific working conditions in a single system are adjusted through the extracted relation between the running state and the fault types, and different working states, namely the individuality or the difference of each alternating current and direct current system, can appear in the same type of equipment under different scenes.
Step S500, inputting the environmental information, the operating parameters of the working power supply, the operating parameters of the rectifier module, the operating parameters of the alternating current power distribution, the operating parameters of the direct current power distribution and the operating parameters of the storage battery into an artificial experience diagnosis library and an implicit relation diagnosis model together to obtain a comprehensive judgment result;
in this embodiment, preferably, it may be selected to first determine whether a fault occurs or not and a rough fault type through a manual experience diagnosis library, and then estimate the fault degree through an implicit relationship diagnosis model;
the real-time operation parameters can be judged simultaneously by adopting an artificial experience diagnosis library and an implicit relation diagnosis model, and the fault judged by any diagnosis method is determined to be the fault.
In this embodiment, if there are a plurality of the microcomputer-controlled ac/dc power systems that jointly form a complete power supply total system, the operating parameters of the working power supply, the operating parameters of the rectifier module, the operating parameters of the ac power distribution, the operating parameters of the dc power distribution, the operating parameters of the storage battery, and the environmental information of all the microcomputer-controlled ac/dc power systems are jointly input into the implicit relationship diagnosis model.
And step S600, recommending a maintenance scheme from a maintenance scheme library based on the comprehensive judgment result.
The embodiment further includes step S700;
step S700, recording the maintenance scheme of each maintenance, the time of normal operation of the whole AC/DC power supply system after the maintenance, the time of normal operation of the corresponding component after the maintenance, the maintenance duration and the maintenance cost, obtaining maintenance effect evaluation, and updating the maintenance effect evaluation of the corresponding maintenance scheme in the maintenance scheme library.
In this embodiment, the maintenance scheme corresponding to the evaluation of the maintenance effect for a specific ac/dc power supply system can be generalized to other ac/dc power supply systems of the same type.
In this embodiment, the maintenance scheme includes:
setting a normal operation reference value, a reasonable operation threshold value and a fault threshold value of various operation modes for each operation information; the distance between the fault threshold and the normal operation reference value is larger than the distance between the reasonable operation threshold and the normal operation reference value;
when all the operation parameters belong to the normal operation reference values, no maintenance scheme is recommended;
when the operating parameters deviate from the reference value but are still in a reasonable operating threshold value, evaluating the performance of the components at the corresponding positions and the time length of the deviation from the reference value according to the judgment result, and if the time length of the deviation from the reference value is less than half of the time of the normal operation of the whole alternating current and direct current power supply system after the maintenance of the corresponding components in the historical record and the performance of the components at the corresponding positions is still in a standard level, preferentially considering the replacement of other operating modes with smaller load of the alternating current and direct current power supply system;
and when the operating parameters exceed the reasonable operating threshold but do not exceed the fault threshold, preferentially considering that the hot backup module is adopted to replace the corresponding component for working, and sending out a replacement warning, and if the available hot backup module does not exist, closing the working of the corresponding component and sending out a maintenance or replacement warning.
In this embodiment, the method further includes a step of automatically updating the fault type, specifically: when the output of the microcomputer control type alternating current and direct current power supply system is abnormal, the manual experience diagnosis library has no matched fault type, and the probability of multiple fault types in the implicit relation diagnosis model is close to or the probability of all the existing fault types is lower than a preset threshold value, a new fault type is created, and corresponding environment information and operation parameters are stored to establish a new operation state-fault type relation.
In this embodiment, the relationship between the operating state and the fault type may also be a reference value, a reasonable operating threshold value, and a fault threshold value for a combined operating parameter obtained by performing principal component analysis on different combinations of operating parameters, and recommend a maintenance scheme.
In this embodiment, the method for performing dimension reduction on environmental information and operating parameters of the ac/dc power supply system by using a principal component analysis method includes:
step B100, standardizing the environmental information and the operation parameters to obtain standardized data to be analyzed
：
Wherein the content of the first and second substances,
the mean value is represented by the average value,
represents the standard deviation;
step B200, based on the normalized data to be analyzed
Constructing a standardized data matrix Z to be analyzed;
step B300, calculating a correlation coefficient matrix R based on the normalized data matrix to be analyzed:
step B400, calculating the characteristic equation of the correlation coefficient matrix
Obtaining p characteristic roots;
step B500, determining the number m of the principal components according to the information utilization rate of the feature root, wherein the calculation method comprises the following steps:
for each one
，
Solving a system of equations
Obtaining unit feature vector
；
Step B600, converting the standardized data to be analyzed into principal components:
Original environment information and operation parameters are replaced by the principal component data obtained through principal component analysis, calculation dimensionality can be reduced on the basis of guaranteeing fault type classification accuracy, and real-time performance of the monitoring system is improved.
In this embodiment, the method further includes the steps of determining whether the internal cause or the external cause of the fault type cause is correct, and verifying whether the model determination result is correct, and specifically includes:
step C100, when the comprehensive judgment result indicates that a certain component has a fault, setting the component as a first component, and acquiring the position and the environmental information of the first component;
step C200, selecting a second reference assembly which is in the same environment with the assembly indicating the fault and a third reference assembly which has the same environment information as the first assembly and is in normal operation of another environment; in this embodiment, for a component that may have a fault, the selected second reference component may be another device of the same type located in the same room, the third reference component may select any device of the same type with the same environmental information in the network of the entire system, and the second reference component and the third reference component may be located in different operating states, so that the set parameters may be different but may still be used to automatically determine whether the internal and external causes of the fault and the determination of the verification model are accurate;
step C300, acquiring adjustable parameters of the first component, copying the adjustable parameters into the second reference component and the third reference component, and carrying out fault judgment and restoration on the second reference component and the third reference component;
step C400, if the second reference assembly is judged to be in fault and the third reference assembly is judged to be not in fault, the fault reason of the first assembly is considered to be an external reason;
if the second reference assembly and the third reference assembly are judged to be normal, the fault reason is considered to be an internal reason, and a maintenance scheme needs to be recommended immediately;
if the second reference assembly and the third reference assembly judge that the second reference assembly and the third reference assembly are both in fault, acquiring the adjustable parameters of the third reference assembly after restoration and copying the adjustable parameters into the second reference assembly, and if the second reference assembly is in fault, judging that the fault reason of the first assembly is that both external factors and internal factors exist;
in this embodiment, when the cause of the failure is an external cause, only equipment for adjusting and controlling environmental information is required, such as an air conditioner and an air dryer, and when the cause of the failure is an internal cause, the entire ac/dc power supply system needs to maintain normal operation by adjusting the working mode, replacing devices, maintaining devices, and performing hot backup.
The fault judgment system of the microcomputer control type alternating current and direct current power supply system in the second embodiment of the invention is applied to a microcomputer control type alternating current and direct current power supply system, which comprises a working power supply, a rectifier module circuit, an alternating current power distribution circuit, a direct current power distribution circuit and a storage battery circuit, and is correspondingly provided with a working power supply monitoring component, a rectifier module monitoring component, an alternating current power distribution monitoring component, a direct current power distribution monitoring component and a storage battery monitoring component; the system comprises: the system comprises an environmental information acquisition unit, an operation parameter acquisition unit, an artificial experience diagnosis library construction unit, an implicit relation diagnosis model construction unit, a comprehensive analysis unit and a maintenance scheme recommendation unit;
the environment information acquisition unit is configured to arrange an environment sensor at each point of the AC/DC power supply system to acquire environment information of the whole AC/DC power supply system;
the operation parameter acquisition unit is configured to acquire operation parameters of the working power supply, operation parameters of the rectification module, operation parameters of the alternating current distribution, operation parameters of the direct current distribution and operation parameters of the storage battery through the working power supply monitoring assembly, the rectification module monitoring assembly, the alternating current distribution monitoring assembly, the direct current distribution monitoring assembly and the storage battery monitoring assembly;
the artificial experience diagnosis library construction unit is configured to construct and copy an artificial experience diagnosis library;
the implicit relation diagnosis model building unit is configured to perform feature extraction on the working power supply operation parameters, the rectifier module operation parameters, the alternating current distribution operation parameters, the direct current distribution operation parameters, the storage battery operation parameters and historical records of environment information through an Apriori algorithm and a convolutional neural network based on any artificial experience diagnosis library, and extract a relation between an operation state and a fault type to build an implicit relation diagnosis model;
the comprehensive analysis unit is configured to input the environmental information, the operating parameters of the working power supply, the operating parameters of the rectifier module, the operating parameters of the alternating current power distribution, the operating parameters of the direct current power distribution and the operating parameters of the storage battery into an artificial experience diagnosis library and an implicit relation diagnosis model together to obtain a comprehensive judgment result;
and the maintenance scheme recommending unit is configured to recommend the maintenance scheme from the maintenance scheme library based on the comprehensive judgment result.
In this embodiment, the time and the location of the next failure may also be predicted according to the normal operation time after the maintenance of each of the ac/dc power supply systems of the same type, and the maintenance may be performed in advance or avoiding an important time period such as a holiday or the like.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process and related description of the system described above may refer to the corresponding process in the foregoing method embodiments, and will not be described herein again.
It should be noted that, the microcomputer-controlled ac/dc power system fault determination system provided in the foregoing embodiment is only illustrated by the division of the above functional modules, and in practical applications, the above functions may be distributed by different functional modules according to needs, that is, the modules or steps in the embodiment of the present invention are further decomposed or combined, for example, the modules in the foregoing embodiment may be combined into one module, or may be further split into multiple sub-modules, so as to complete all or part of the above described functions. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the modules or steps, and are not to be construed as unduly limiting the present invention.
An electronic apparatus according to a third embodiment of the present invention includes: at least one processor; and a memory communicatively coupled to at least one of the processors; the memory stores instructions executable by the processor, and the instructions are used for being executed by the processor to realize the fault judgment method of the microcomputer control type alternating current and direct current power supply system.
A computer-readable storage medium according to a fourth embodiment of the present invention stores computer instructions for being executed by the computer to implement the method for determining a fault in a microcomputer-controlled ac/dc power system.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes and related descriptions of the storage device and the processing device described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Referring now to FIG. 2, therein is shown a schematic block diagram of a computer system of a server for implementing embodiments of the method, system, and apparatus of the present application. The server shown in fig. 2 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 2, the computer system includes a Central Processing Unit (CPU)201 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 202 or a program loaded from a storage section 208 into a Random Access Memory (RAM) 203. In the RAM 203, various programs and data necessary for system operation are also stored. The CPU 201, ROM202, and RAM 203 are connected to each other via a bus 204. An Input/Output (I/O) interface 205 is also connected to bus 204.
The following components are connected to the I/O interface 205: an input portion 606 including a keyboard, a mouse, and the like; an output section 207 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage section 208 including a hard disk and the like; and a communication section 209 including a Network interface card such as a LAN (Local Area Network) card, a modem, or the like. The communication section 209 performs communication processing via a network such as the internet. A drive 210 is also connected to the I/O interface 205 as needed. A removable medium 211 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 210 as necessary, so that a computer program read out therefrom is mounted into the storage section 208 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 209 and/or installed from the removable medium 211. The above-described functions defined in the method of the present application are performed when the computer program is executed by the Central Processing Unit (CPU) 201. It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The terms "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing or implying a particular order or sequence.
The terms "comprises," "comprising," or any other similar term are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
Claims (8)
1. A fault judgment method for a microcomputer control type AC/DC power supply system is characterized by being applied to a microcomputer control type AC/DC power supply system, comprising a working power supply, a rectifier module circuit, an AC power distribution circuit, a DC power distribution circuit and a storage battery circuit, wherein a working power supply monitoring component, a rectifier module monitoring component, an AC power distribution monitoring component, a DC power distribution monitoring component and a storage battery monitoring component are correspondingly configured; the method comprises the following steps:
step S100, arranging an environment sensor at each point position of the AC/DC power supply system to acquire environment information of the whole AC/DC power supply system;
step S200, acquiring working power supply operation parameters, rectifier module operation parameters, alternating current distribution operation parameters, direct current distribution operation parameters and storage battery operation parameters through the working power supply monitoring assembly, the rectifier module monitoring assembly, the alternating current distribution monitoring assembly, the direct current distribution monitoring assembly and the storage battery monitoring assembly;
step S300, constructing and copying an artificial experience diagnosis library;
step S400, based on any artificial experience diagnosis library, performing feature extraction on the working power supply operation parameters, the rectifier module operation parameters, the alternating current distribution operation parameters, the direct current distribution operation parameters, the storage battery operation parameters and historical records of environment information through an Apriori algorithm and a convolutional neural network, extracting the relation between an operation state and a fault type, and constructing an implicit relation diagnosis model;
step S500, inputting the environmental information, the operating parameters of the working power supply, the operating parameters of the rectifier module, the operating parameters of the alternating current power distribution, the operating parameters of the direct current power distribution and the operating parameters of the storage battery into an artificial experience diagnosis library and an implicit relation diagnosis model together to obtain a comprehensive judgment result;
step S600, recommending a maintenance scheme from a maintenance scheme library based on the comprehensive judgment result; the method specifically comprises the following steps:
setting a normal operation reference value, a reasonable operation threshold value and a fault threshold value of various operation modes for each operation information; the distance between the fault threshold and the normal operation reference value is larger than the distance between the reasonable operation threshold and the normal operation reference value;
when all the operation parameters belong to the normal operation reference values, no maintenance scheme is recommended;
when the operating parameters deviate from the reference value but are still in a reasonable operating threshold value, evaluating the performance of the components at the corresponding positions and the time length of the deviation from the reference value according to the judgment result, and if the time length of the deviation from the reference value is less than half of the time of the normal operation of the whole alternating current and direct current power supply system after the maintenance of the corresponding components in the historical record and the performance of the components at the corresponding positions is still in a standard level, preferentially considering the replacement of other operating modes with smaller load of the alternating current and direct current power supply system;
and when the operating parameters exceed the reasonable operating threshold but do not exceed the fault threshold, preferentially considering that the hot backup module is adopted to replace the corresponding component for working, and sending out a replacement warning, and if the available hot backup module does not exist, closing the working of the corresponding component and sending out a maintenance or replacement warning.
2. The method of claim 1, further comprising:
step S700, recording the maintenance scheme of each maintenance, the time of normal operation of the whole AC/DC power supply system after the maintenance, the time of normal operation of the corresponding component after the maintenance, the maintenance duration and the maintenance cost, obtaining maintenance effect evaluation, and updating the maintenance effect evaluation of the corresponding maintenance scheme in the maintenance scheme library.
3. The method according to claim 2, wherein if there are a plurality of the microcomputer-controlled ac/dc power systems that together form a complete power supply total system, the operating parameters of the operating power supplies, the operating parameters of the rectifier modules, the operating parameters of the ac power distribution, the operating parameters of the dc power distribution, the operating parameters of the storage batteries, and the environmental information of all the microcomputer-controlled ac/dc power systems are input into the implicit relationship diagnosis model.
4. The fault determination method of the microcomputer-controlled ac/dc power supply system according to claim 1, wherein the environmental information includes an ambient temperature and an ambient humidity;
the operating parameters include internal resistance, operating current, voltage, and circuit assembly temperature.
5. The method according to claim 1, wherein the relationship between the operating status and the fault type is a reference value, a reasonable operating threshold value and a fault threshold value of a combined operating parameter obtained by analyzing the principal components of different combinations of operating parameters, and a maintenance plan is recommended.
6. A microcomputer control type AC/DC power supply system fault judgment system is characterized in that the system is applied to a microcomputer control type AC/DC power supply system, and comprises a working power supply, a rectifier module circuit, an AC power distribution circuit, a DC power distribution circuit and a storage battery circuit, and a working power supply monitoring assembly, a rectifier module monitoring assembly, an AC power distribution monitoring assembly, a DC power distribution monitoring assembly and a storage battery monitoring assembly are correspondingly configured; the system comprises: the system comprises an environmental information acquisition unit, an operation parameter acquisition unit, an artificial experience diagnosis library construction unit, an implicit relation diagnosis model construction unit, a comprehensive analysis unit and a maintenance scheme recommendation unit;
the environment information acquisition unit is configured to arrange an environment sensor at each point of the AC/DC power supply system to acquire environment information of the whole AC/DC power supply system;
the operation parameter acquisition unit is configured to acquire operation parameters of the working power supply, operation parameters of the rectification module, operation parameters of the alternating current distribution, operation parameters of the direct current distribution and operation parameters of the storage battery through the working power supply monitoring assembly, the rectification module monitoring assembly, the alternating current distribution monitoring assembly, the direct current distribution monitoring assembly and the storage battery monitoring assembly;
the artificial experience diagnosis library construction unit is configured to construct and copy an artificial experience diagnosis library;
the implicit relation diagnosis model building unit is configured to perform feature extraction on the working power supply operation parameters, the rectifier module operation parameters, the alternating current distribution operation parameters, the direct current distribution operation parameters, the storage battery operation parameters and historical records of environment information through an Apriori algorithm and a convolutional neural network based on any artificial experience diagnosis library, and extract a relation between an operation state and a fault type to build an implicit relation diagnosis model;
the comprehensive analysis unit is configured to input the environmental information, the operating parameters of the working power supply, the operating parameters of the rectifier module, the operating parameters of the alternating current power distribution, the operating parameters of the direct current power distribution and the operating parameters of the storage battery into an artificial experience diagnosis library and an implicit relation diagnosis model together to obtain a comprehensive judgment result;
the maintenance scheme recommending unit is configured to recommend a maintenance scheme from a maintenance scheme library based on the comprehensive judgment result;
the method specifically comprises the following steps:
setting a normal operation reference value, a reasonable operation threshold value and a fault threshold value of various operation modes for each operation information; the distance between the fault threshold and the normal operation reference value is larger than the distance between the reasonable operation threshold and the normal operation reference value;
when all the operation parameters belong to the normal operation reference values, no maintenance scheme is recommended;
when the operating parameters deviate from the reference value but are still in a reasonable operating threshold value, evaluating the performance of the components at the corresponding positions and the time length of the deviation from the reference value according to the judgment result, and if the time length of the deviation from the reference value is less than half of the time of the normal operation of the whole alternating current and direct current power supply system after the maintenance of the corresponding components in the historical record and the performance of the components at the corresponding positions is still in a standard level, preferentially considering the replacement of other operating modes with smaller load of the alternating current and direct current power supply system;
and when the operating parameters exceed the reasonable operating threshold but do not exceed the fault threshold, preferentially considering that the hot backup module is adopted to replace the corresponding component for working, and sending out a replacement warning, and if the available hot backup module does not exist, closing the working of the corresponding component and sending out a maintenance or replacement warning.
7. An electronic device, comprising: at least one processor; and a memory communicatively coupled to at least one of the processors; wherein the memory stores instructions executable by the processor for implementing the method of determining a fault in a microcomputer-controlled ac/dc power system according to any one of claims 1-5.
8. A computer-readable storage medium storing computer instructions for execution by the computer to implement the microcomputer-controlled ac/dc power system fault determination method of any one of claims 1-5.
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