CN117368718A - Fault monitoring and early warning method and system of measuring switch - Google Patents
Fault monitoring and early warning method and system of measuring switch Download PDFInfo
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- CN117368718A CN117368718A CN202311660391.5A CN202311660391A CN117368718A CN 117368718 A CN117368718 A CN 117368718A CN 202311660391 A CN202311660391 A CN 202311660391A CN 117368718 A CN117368718 A CN 117368718A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 107
- 238000000034 method Methods 0.000 title claims abstract description 47
- 238000012706 support-vector machine Methods 0.000 claims abstract description 48
- 238000007405 data analysis Methods 0.000 claims abstract description 20
- 230000002159 abnormal effect Effects 0.000 claims description 23
- 238000005259 measurement Methods 0.000 claims description 22
- 238000010276 construction Methods 0.000 claims description 17
- 238000004458 analytical method Methods 0.000 claims description 10
- 238000012360 testing method Methods 0.000 claims description 5
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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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
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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
- G01R31/327—Testing of circuit interrupters, switches or circuit-breakers
- G01R31/3277—Testing of circuit interrupters, switches or circuit-breakers of low voltage devices, e.g. domestic or industrial devices, such as motor protections, relays, rotation switches
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
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- Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)
Abstract
The invention discloses a fault monitoring and early warning method and system of a measuring switch, and relates to the technical field of measuring switches, wherein the method comprises the following steps: the method comprises the steps of monitoring an electric circuit where a measuring switch is located in real time to obtain real-time monitoring parameters of the electric circuit, wherein the real-time monitoring parameters comprise real-time current parameters and real-time voltage parameters; analyzing the output result by a support vector machine in a data analysis module, wherein the output result comprises the real-time working state of the electric circuit; judging whether the real-time working state accords with the state of a preset electric line or not; if the fault information is in accordance with the fault information, the fault information is added to the monitoring log of the measuring switch, and if the fault information is not in accordance with the fault information, the fault information is matched with the fault information through a fault early-warning module, and early warning is carried out. The technical problems that the abnormal function of the measuring switch cannot be timely and accurately identified, and the stability and the effective application of the measuring switch are affected in the prior art are solved. The technical effects of improving the use safety and stability of the measuring switch and providing a basis for the safe and reliable operation of the electric line are achieved.
Description
Technical Field
The present invention relates to the field of measurement switches, and in particular, to a fault monitoring and early warning method and system for a measurement switch.
Background
The measuring switch is a low-voltage switching device with a high-precision current sensor and a measuring unit. The measuring switch can realize the normal connection and disconnection of the power distribution and utilization circuit, overload protection, short-circuit protection and other functions, and can realize the local or remote interaction of the measuring data, so that the measuring switch is widely applied to the fields of low-voltage metering boxes and the like. The prior art can not identify faults in the actual operation and use processes of the measuring switch timely and accurately, thereby influencing the targeted early warning and maintenance processing efficiency, and finally causing the problems of poor power supply stability of the electric line and even influencing the electricity safety. Therefore, it is needed to intelligently monitor and pre-warn the faults of the measuring switch so as to promote the popularization and application of the measuring switch.
However, in the prior art, the abnormal function of the measuring switch cannot be timely and accurately identified, and the stable and effective application of the measuring switch is affected.
Disclosure of Invention
The invention aims to provide a fault monitoring and early warning method and system for a measuring switch, which are used for solving the technical problems that in the prior art, abnormal functions of the measuring switch cannot be timely and accurately identified, and the stability and the effective application of the measuring switch are affected.
In view of the above problems, the present invention provides a fault monitoring and early warning method and system for a measuring switch.
In a first aspect, the present invention provides a fault monitoring and early warning method for a measurement switch, where the method is implemented by a fault monitoring and early warning system for a measurement switch, and the method includes: the method comprises the steps that the electric circuit where a measuring switch is located is monitored in real time through a monitoring acquisition module, and real-time monitoring parameters of the electric circuit are obtained, wherein the real-time monitoring parameters of the electric circuit comprise real-time current parameters and real-time voltage parameters; taking the real-time current parameters and the real-time voltage parameters as input information, and analyzing by a support vector machine in a data analysis module to obtain an output result, wherein the output result comprises the real-time working state of the electric line; reading a preset electric line state, and judging whether the real-time working state accords with the preset electric line state; if yes, the real-time working state is added to a monitoring log of the measuring switch, if not, the fault early warning information of the real-time working state is matched through a fault early warning module, and early warning is carried out according to the fault early warning information.
In a second aspect, the present invention further provides a fault monitoring and early warning system of a measurement switch, for executing the fault monitoring and early warning method of the measurement switch according to the first aspect, where the system includes: the parameter obtaining unit is used for carrying out real-time monitoring on the electric circuit where the measuring switch is located through the monitoring acquisition module to obtain real-time monitoring parameters of the electric circuit, wherein the real-time monitoring parameters of the electric circuit comprise real-time current parameters and real-time voltage parameters; the state obtaining unit is used for analyzing the real-time current parameters and the real-time voltage parameters serving as input information through a support vector machine in the data analysis module to obtain an output result, wherein the output result comprises the real-time working state of the electric line; the state analysis unit is used for reading a preset electric line state and judging whether the real-time working state accords with the preset electric line state or not; and the fault early warning module is used for adding the real-time working state to the monitoring log of the measuring switch if the real-time working state is in accordance with the real-time working state, matching the fault early warning information of the real-time working state through the fault early warning module if the real-time working state is not in accordance with the real-time working state, and carrying out early warning according to the fault early warning information.
In a third aspect, a computer readable storage medium has stored thereon a computer program which, when executed, implements the steps of the method according to any of the first aspects.
One or more technical schemes provided by the invention have at least the following technical effects or advantages:
1. the method comprises the steps that the electric circuit where a measuring switch is located is monitored in real time through a monitoring acquisition module, and real-time monitoring parameters of the electric circuit are obtained, wherein the real-time monitoring parameters of the electric circuit comprise real-time current parameters and real-time voltage parameters; taking the real-time current parameters and the real-time voltage parameters as input information, and analyzing by a support vector machine in a data analysis module to obtain an output result, wherein the output result comprises the real-time working state of the electric line; reading a preset electric line state, and judging whether the real-time working state accords with the preset electric line state; if yes, the real-time working state is added to a monitoring log of the measuring switch, if not, the fault early warning information of the real-time working state is matched through a fault early warning module, and early warning is carried out according to the fault early warning information. The automatic dynamic monitoring is carried out on the electric line where the measuring switch is located, so that the objective and quantitative target of the running state of the measuring switch is realized, the abnormality of the line is intelligently identified by analyzing the practical application data information of the measuring switch, and the targeted early warning is carried out by the fault early warning module, so that the technical effects of improving the use safety and stability of the measuring switch and providing a basis for the safe and reliable running of the electric line are achieved.
By analyzing the line loss of the electric line, the automatic quantification target of the line loss is realized, objective and accurate line loss data base is provided for relevant personnel to take corresponding line loss maintenance measures, thereby improving the line loss maintenance and overhaul efficiency and reliability, and finally improving the operation safety and stability of the line where the measuring switch is positioned.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent. It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described below, it being obvious that the drawings in the description below are only exemplary and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a fault monitoring and early warning method of a measuring switch according to the present invention;
FIG. 2 is a schematic flow chart of storing the support vector machine in the data analysis module in the fault monitoring and early warning method of the measuring switch of the present invention;
FIG. 3 is a schematic flow chart of obtaining a first support vector machine according to the first construction data set in the fault monitoring and early warning method of the measuring switch of the present invention;
FIG. 4 is a schematic flow chart of the support vector machine obtained in the fault monitoring and early warning method of the measuring switch of the present invention;
FIG. 5 is a schematic flow chart of a fault detection and early warning method of a measuring switch, wherein a preset state-fault list is embedded in a fault early warning module;
FIG. 6 is a schematic diagram of a fault monitoring and warning system of a measuring switch according to the present invention.
Reference numerals illustrate:
the system comprises a parameter obtaining unit 11, a state obtaining unit 12, a state analyzing unit 13 and a fault early warning module 14.
Detailed Description
The invention provides a fault monitoring and early warning method and system for a measuring switch, which solve the technical problems that the abnormal function of the measuring switch cannot be timely and accurately identified, and the stability and the effective application of the measuring switch are affected in the prior art. The automatic dynamic monitoring is carried out on the electric line where the measuring switch is located, so that the objective and quantitative target of the running state of the measuring switch is realized, the abnormality of the line is intelligently identified by analyzing the practical application data information of the measuring switch, and the targeted early warning is carried out by the fault early warning module, so that the technical effects of improving the use safety and stability of the measuring switch and providing a basis for the safe and reliable running of the electric line are achieved.
In the following, the technical solutions of the present invention will be clearly and completely described with reference to the accompanying drawings, and it should be understood that the described embodiments are only some embodiments of the present invention, but not all embodiments of the present invention, and that the present invention is not limited by the exemplary embodiments described herein. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention. It should be further noted that, for convenience of description, only some, but not all of the drawings related to the present invention are shown.
Example 1
Referring to fig. 1, the invention provides a fault monitoring and early warning method of a measuring switch, wherein the method is applied to a fault monitoring and early warning system of the measuring switch, the fault monitoring and early warning system comprises a monitoring acquisition module, a data analysis module and a fault early warning module, and the fault monitoring and early warning system is in communication connection with the measuring switch, and the method specifically comprises the following steps:
step S100: the monitoring acquisition module is used for monitoring the electric circuit where the measuring switch is located in real time to obtain real-time monitoring parameters of the electric circuit, wherein the real-time monitoring parameters of the electric circuit comprise real-time current parameters and real-time voltage parameters;
specifically, the fault monitoring and early warning method of the measuring switch is applied to a fault monitoring and early warning system of the measuring switch, and real-time monitoring is carried out on an electric circuit where the measuring switch is located through the monitoring acquisition module in the fault monitoring and early warning system, and real-time monitoring parameters of the electric circuit are correspondingly obtained, such as real-time current, real-time voltage and the like in the electric circuit. Wherein the real-time monitoring parameters of the electric line comprise real-time current parameters and real-time voltage parameters. The measuring switch refers to any measuring switch for dynamically monitoring the operation state through the fault monitoring and early warning system. The measuring switch is a low-voltage switching device with a high-precision current sensor and a measuring unit. The actual operation state parameters of the electric circuit are obtained through dynamic intelligent monitoring of the electric circuit where the measuring switch is located, and the technical aim of objectively quantifying the operation state of the measuring switch is achieved.
Step S200: taking the real-time current parameters and the real-time voltage parameters as input information, and analyzing by a support vector machine in the data analysis module to obtain an output result, wherein the output result comprises a real-time working state of the electric line;
further, as shown in fig. 2, step S200 of the present invention includes:
step S210: constructing a data set through data construction in a history measurement switch supervision log;
step S220: performing supervised learning and testing on the constructed data set to obtain the support vector machine;
further, as shown in fig. 3, step S220 of the present invention includes:
step S221: extracting a first normal on data set in the history measurement switch supervision log, wherein the first normal on data set comprises a first history current, a first history voltage and a first history state identifier;
step S222: the first history state identifier refers to a first history normal on state;
step S223: extracting a first abnormal data set in the history measurement switch supervision log, wherein the first abnormal data set comprises a second history current, a second history voltage and a second history state identifier;
step S224: the second historical state identifier refers to a first historical abnormal state;
step S225: constructing a first build data set based on the first normal turn-on data set and the first abnormal data set;
step S226: and obtaining a first support vector machine according to the first construction data set.
Further, as shown in fig. 4, the present invention further includes step S227:
step S2271: the first historical abnormal state refers to first historical line breaking or first historical line overload;
step S2272: constructing a second construction dataset according to the second historical current, the second historical voltage, the first historical line break, or the first historical line overload;
step S2273: obtaining a second support vector machine according to the second construction data set;
step S2274: and building the first support vector machine and the second support vector machine to obtain the support vector machine.
Step S230: and storing the support vector machine to the data analysis module.
Specifically, the real-time current parameter and the real-time voltage parameter obtained by the monitoring and collecting module are used as input information of a support vector machine in the data analysis module, and then the corresponding output result is obtained through analysis of the support vector machine. The output result comprises a real-time working state of the electric line. The support vector machine refers to an intelligent model capable of carrying out automatic type identification on the operation state of the electric circuit based on current and voltage parameters in the electric circuit.
Firstly, a data set is built through data organization in a history measurement switch supervision log, specifically, history log data of any group of electric line states in the history measurement switch supervision log are firstly extracted, and the history log data are recorded as a first normal connection data set. Wherein the first normal turn-on data set includes a first historical current, a first historical voltage, and a first historical state identification. Because the first normal connection data set is a set of historical data monitored under the normal connection state of the electric line, the first historical state identifier refers to a first historical normal connection state. And further extracting the history log data of any group of abnormal electric line states in the history measurement switch supervision log, and recording the history log data as a first abnormal data group. Wherein the first anomaly data set includes a second historical current, a second historical voltage, and a second historical state identification. The second historical state identifier refers to a first historical abnormal state. And finally, constructing a first construction data set according to the first normal connection data set and the first abnormal data set, and obtaining a first support vector machine according to the first construction data set.
Further, because the abnormal electric line state in the first abnormal data set includes an electric line breaking state and an electric line overload state, the first historical abnormal state refers to a situation that the first historical line is broken or the first historical line is overloaded, that is to say, the electric line breaking abnormality early warning and the electric line overload abnormality early warning in the historical monitoring early warning are two situations. And then, constructing a second construction data set according to the second historical current, the second historical voltage, the first historical line breaking or the first historical line overload, and obtaining a second support vector machine according to the second construction data set. And finally, taking the first support vector machine obtained through the supervised learning and testing as a first level model, taking the second support vector machine as a second level model to build the support vector machine, so as to obtain the support vector machine, and storing the support vector machine into the data analysis module.
The intelligent analysis of the real-time monitoring parameters of the electric line is realized by constructing a support vector machine, and the real-time operation state of the electric line where the measuring switch is positioned is correspondingly researched and judged, so that a state basis is provided for the subsequent targeted early warning of the electric line based on the actual operation state, and the targeted early warning effect is improved.
Step S300: reading a preset electric line state, and judging whether the real-time working state accords with the preset electric line state;
specifically, the predetermined electric line state is stored in the fault monitoring and early warning system in advance, and refers to a normal fault-free state of the electric line where the measurement switch is located, that is, the normal on state. Next, it is determined whether the real-time operation state corresponds to the predetermined electric line state, that is, whether the real-time operation state of the electric line determined based on the support vector machine is a normal on state, that is, whether there is a fault. And a basis is provided for subsequent targeted early warning by judging whether the real-time working state is normal or not.
Step S400: if yes, the real-time working state is added to a monitoring log of the measuring switch, if not, the fault early warning information of the real-time working state is matched through the fault early warning module, and early warning is carried out according to the fault early warning information.
Further, as shown in fig. 5, step S400 of the present invention includes:
step S410: the fault early warning module is embedded with a preset state-fault list;
step S420: the preset state-fault list comprises a first list and a second list, wherein the first list refers to a corresponding list of breaking states and breaking faults, and the second list refers to a corresponding list of overload states and overload faults.
Further, step S430 of the present invention includes:
step S431: judging whether the real-time working state is the breaking state or not;
step S432: if yes, matching the breaking fault of the breaking state, and carrying out first early warning on the breaking fault;
step S433: the first early warning refers to power failure early warning.
Specifically, after the foregoing determination of whether the real-time working state is a predetermined electrical circuit state, that is, whether the real-time working state is a normal on state, when the real-time working state is the normal on state, it is indicated that the electrical circuit is running normally at this time, that is, the measurement switch has no fault, so that the real-time working state is added to the measurement switch supervision log, and a data base is provided for subsequent trace management. However, when the real-time working state is not the normal on state, it is indicated that an abnormality occurs in the electric line where the measuring switch is located at this time, so that the fault early-warning module matches the fault early-warning information corresponding to the real-time working state and performs early warning according to the fault early-warning information. The fault early warning module is embedded with a preset state-fault list, the preset state-fault list comprises a first list and a second list, the first list refers to a corresponding list of breaking states and breaking faults, and the second list refers to a corresponding list of overload states and overload faults.
Further, when the current abnormal operation of the electric line where the measuring switch is located is determined, whether the real-time working state is the breaking state is judged again. If the real-time working state is the breaking state, the system automatically matches the breaking fault corresponding to the breaking state and performs first early warning on the breaking fault. The first early warning refers to power failure early warning. And finally, the related technology manager carries out targeted maintenance treatment on the measuring switch and the electric wire thereof according to the first early warning so as to ensure the normal electricity consumption requirement of a user.
Further, the invention also comprises the following steps:
step S4311: if not, matching the overload fault in the real-time working state, and carrying out second early warning on the overload fault;
step S4312: and carrying out line loss analysis and research on the electric line according to the second early warning to obtain a first line loss result.
Further, the invention also comprises the following steps:
step S4313: reading the terminal temperature;
step S4314: and adjusting the first line loss result according to the terminal temperature to obtain a second line loss result.
Specifically, when the real-time working state is not the breaking state, the fact that overload faults occur to the electric wire at the moment is indicated, and the overload faults are matched and subjected to second early warning through the preset state-fault list in the fault early warning module. And because the overload of the electric circuit is easy to cause line loss, the line loss analysis and judgment are carried out on the electric circuit according to the second early warning, and a first line loss result is correspondingly obtained. Exemplary, e.g., different overload levels correspond to different line loss levels, the more severe the overload, the more severe the line loss. In addition, the terminal temperature of the measuring switch is read, and the first line loss result is adjusted according to the terminal temperature, so that a second line loss result is obtained. Wherein, the higher the terminal temperature, the more serious the corresponding line loss. By analyzing the line loss of the electric line, the automatic quantification target of the line loss is realized, objective and accurate line loss data base is provided for relevant personnel to take corresponding line loss maintenance measures, thereby improving the line loss maintenance and overhaul efficiency and reliability, and finally improving the operation safety and stability of the line where the measuring switch is positioned.
In summary, the fault monitoring and early warning method for the measuring switch provided by the invention has the following technical effects:
1. the method comprises the steps that the electric circuit where a measuring switch is located is monitored in real time through a monitoring acquisition module, and real-time monitoring parameters of the electric circuit are obtained, wherein the real-time monitoring parameters of the electric circuit comprise real-time current parameters and real-time voltage parameters; taking the real-time current parameters and the real-time voltage parameters as input information, and analyzing by a support vector machine in a data analysis module to obtain an output result, wherein the output result comprises the real-time working state of the electric line; reading a preset electric line state, and judging whether the real-time working state accords with the preset electric line state; if yes, the real-time working state is added to a monitoring log of the measuring switch, if not, the fault early warning information of the real-time working state is matched through a fault early warning module, and early warning is carried out according to the fault early warning information. The automatic dynamic monitoring is carried out on the electric line where the measuring switch is located, so that the objective and quantitative target of the running state of the measuring switch is realized, the abnormality of the line is intelligently identified by analyzing the practical application data information of the measuring switch, and the targeted early warning is carried out by the fault early warning module, so that the technical effects of improving the use safety and stability of the measuring switch and providing a basis for the safe and reliable running of the electric line are achieved.
By analyzing the line loss of the electric line, the automatic quantification target of the line loss is realized, objective and accurate line loss data base is provided for relevant personnel to take corresponding line loss maintenance measures, thereby improving the line loss maintenance and overhaul efficiency and reliability, and finally improving the operation safety and stability of the line where the measuring switch is positioned.
Example two
Based on the fault monitoring and early warning method of the measuring switch in the foregoing embodiment, the invention also provides a fault monitoring and early warning system of the measuring switch, where the fault monitoring and early warning system includes a monitoring acquisition module, a data analysis module and a fault early warning module, and the fault monitoring and early warning system is in communication connection with a measuring switch, please refer to fig. 6, and the system includes:
the parameter obtaining unit 11 is configured to monitor, in real time, an electrical circuit where the measurement switch is located through the monitoring acquisition module, so as to obtain real-time monitoring parameters of the electrical circuit, where the real-time monitoring parameters of the electrical circuit include a real-time current parameter and a real-time voltage parameter;
a state obtaining unit 12, configured to obtain an output result by using the real-time current parameter and the real-time voltage parameter as input information and analyzing the output result by using a support vector machine in the data analysis module, where the output result includes a real-time working state of the electric line;
a state analysis unit 13, configured to read a predetermined electric line state, and determine whether the real-time working state meets the predetermined electric line state;
and the fault early warning module 14 is used for adding the real-time working state to the monitoring log of the measuring switch if the real-time working state is in accordance with the real-time working state, matching the fault early warning information of the real-time working state through the fault early warning module if the real-time working state is not in accordance with the real-time working state, and carrying out early warning according to the fault early warning information.
Further, the state obtaining unit 12 in the system is further configured to:
constructing a data set through data construction in a history measurement switch supervision log;
performing supervised learning and testing on the constructed data set to obtain the support vector machine;
and storing the support vector machine to the data analysis module.
Further, the state obtaining unit 12 in the system is further configured to:
extracting a first normal on data set in the history measurement switch supervision log, wherein the first normal on data set comprises a first history current, a first history voltage and a first history state identifier;
the first history state identifier refers to a first history normal on state;
extracting a first abnormal data set in the history measurement switch supervision log, wherein the first abnormal data set comprises a second history current, a second history voltage and a second history state identifier;
the second historical state identifier refers to a first historical abnormal state;
constructing a first build data set based on the first normal turn-on data set and the first abnormal data set;
and obtaining a first support vector machine according to the first construction data set.
Further, the state obtaining unit 12 in the system is further configured to:
the first historical abnormal state refers to first historical line breaking or first historical line overload;
constructing a second construction dataset according to the second historical current, the second historical voltage, the first historical line break, or the first historical line overload;
obtaining a second support vector machine according to the second construction data set;
and building the first support vector machine and the second support vector machine to obtain the support vector machine.
Further, the fault early warning module 14 in the system is further configured to:
the fault early warning module is embedded with a preset state-fault list;
the preset state-fault list comprises a first list and a second list, wherein the first list refers to a corresponding list of breaking states and breaking faults, and the second list refers to a corresponding list of overload states and overload faults.
Further, the fault early warning module 14 in the system is further configured to:
judging whether the real-time working state is the breaking state or not;
if yes, matching the breaking fault of the breaking state, and carrying out first early warning on the breaking fault;
the first early warning refers to power failure early warning.
Further, the fault early warning module 14 in the system is further configured to:
if not, matching the overload fault in the real-time working state, and carrying out second early warning on the overload fault;
and carrying out line loss analysis and research on the electric line according to the second early warning to obtain a first line loss result.
Further, the fault early warning module 14 in the system is further configured to:
reading the terminal temperature;
and adjusting the first line loss result according to the terminal temperature to obtain a second line loss result.
In this description, each embodiment is described in a progressive manner, and each embodiment focuses on the difference from other embodiments, and the foregoing fault monitoring and early warning method and specific example of a measuring switch in the first embodiment of fig. 1 are also applicable to the fault monitoring and early warning system of a measuring switch in this embodiment, and by the foregoing detailed description of the fault monitoring and early warning method of a measuring switch, those skilled in the art can clearly know the fault monitoring and early warning system of a measuring switch in this embodiment, so that the description is omitted herein for brevity. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The present invention also provides a computer readable storage medium, wherein the computer readable storage medium has a computer program stored thereon, the computer program when executed implementing the steps of the method according to any one of the embodiments.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the present invention and the equivalent techniques thereof, the present invention is also intended to include such modifications and variations.
Claims (10)
1. The fault monitoring and early warning method of the measuring switch is characterized in that the fault monitoring and early warning method is applied to a fault monitoring and early warning system, the fault monitoring and early warning system comprises a monitoring acquisition module, a data analysis module and a fault early warning module, the fault monitoring and early warning system is in communication connection with the measuring switch, and the fault monitoring and early warning method comprises the following steps:
the monitoring acquisition module is used for monitoring the electric circuit where the measuring switch is located in real time to obtain real-time monitoring parameters of the electric circuit, wherein the real-time monitoring parameters of the electric circuit comprise real-time current parameters and real-time voltage parameters;
taking the real-time current parameters and the real-time voltage parameters as input information, and analyzing by a support vector machine in the data analysis module to obtain an output result, wherein the output result comprises a real-time working state of the electric line;
reading a preset electric line state, and judging whether the real-time working state accords with the preset electric line state;
if yes, the real-time working state is added to a monitoring log of the measuring switch, if not, the fault early warning information of the real-time working state is matched through the fault early warning module, and early warning is carried out according to the fault early warning information.
2. The fault monitoring and early warning method according to claim 1, characterized by comprising, before the output result is obtained by the support vector machine analysis in the data analysis module:
constructing a data set through data construction in a history measurement switch supervision log;
performing supervised learning and testing on the constructed data set to obtain the support vector machine;
and storing the support vector machine to the data analysis module.
3. The fault monitoring and early warning method according to claim 2, wherein the performing supervised learning and testing on the constructed data set to obtain the support vector machine includes:
extracting a first normal on data set in the history measurement switch supervision log, wherein the first normal on data set comprises a first history current, a first history voltage and a first history state identifier;
the first history state identifier refers to a first history normal on state;
extracting a first abnormal data set in the history measurement switch supervision log, wherein the first abnormal data set comprises a second history current, a second history voltage and a second history state identifier;
the second historical state identifier refers to a first historical abnormal state;
constructing a first build data set based on the first normal turn-on data set and the first abnormal data set;
and obtaining a first support vector machine according to the first construction data set.
4. The fault monitoring and warning method of claim 3, comprising, after said deriving a first support vector machine from said first set of build data:
the first historical abnormal state refers to first historical line breaking or first historical line overload;
constructing a second construction dataset according to the second historical current, the second historical voltage, the first historical line break, or the first historical line overload;
obtaining a second support vector machine according to the second construction data set;
and building the first support vector machine and the second support vector machine to obtain the support vector machine.
5. The fault monitoring and warning method of claim 1, further comprising, prior to said matching of said real-time operating state fault warning information by said fault warning module:
the fault early warning module is embedded with a preset state-fault list;
the preset state-fault list comprises a first list and a second list, wherein the first list refers to a corresponding list of breaking states and breaking faults, and the second list refers to a corresponding list of overload states and overload faults.
6. The fault monitoring and warning method of claim 5, further comprising:
judging whether the real-time working state is the breaking state or not;
if yes, matching the breaking fault of the breaking state, and carrying out first early warning on the breaking fault;
the first early warning refers to power failure early warning.
7. The fault monitoring and warning method according to claim 6, further comprising, after said determining whether the real-time operating state is the breaking state:
if not, matching the overload fault in the real-time working state, and carrying out second early warning on the overload fault;
and carrying out line loss analysis and research on the electric line according to the second early warning to obtain a first line loss result.
8. The fault monitoring and warning method according to claim 7, further comprising, after the obtaining the first line loss result:
reading the terminal temperature;
and adjusting the first line loss result according to the terminal temperature to obtain a second line loss result.
9. A fault monitoring and early warning system of a measuring switch, wherein the system is configured to perform the method of any one of claims 1-8, the fault monitoring and early warning system includes a monitoring acquisition module, a data analysis module, and a fault early warning module, and the fault monitoring and early warning system is communicatively connected to a measuring switch, the fault monitoring and early warning system includes:
the parameter obtaining unit is used for carrying out real-time monitoring on the electric circuit where the measuring switch is located through the monitoring acquisition module to obtain real-time monitoring parameters of the electric circuit, wherein the real-time monitoring parameters of the electric circuit comprise real-time current parameters and real-time voltage parameters;
the state obtaining unit is used for taking the real-time current parameter and the real-time voltage parameter as input information, and analyzing the input information through a support vector machine in the data analysis module to obtain an output result, wherein the output result comprises the real-time working state of the electric line;
the state analysis unit is used for reading a preset electric line state and judging whether the real-time working state accords with the preset electric line state or not;
and the fault early warning module is used for adding the real-time working state to the monitoring log of the measuring switch if the real-time working state is in accordance with the fault early warning module, matching the fault early warning information of the real-time working state through the fault early warning module if the real-time working state is not in accordance with the fault early warning information, and carrying out early warning according to the fault early warning information.
10. A computer readable storage medium, characterized in that it has stored thereon a computer program which, when executed, implements the steps of the method according to any of claims 1-8.
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