CN112782512A - Method and device for judging state and diagnosing fault of electrical equipment - Google Patents
Method and device for judging state and diagnosing fault of electrical equipment Download PDFInfo
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- CN112782512A CN112782512A CN202110057918.XA CN202110057918A CN112782512A CN 112782512 A CN112782512 A CN 112782512A CN 202110057918 A CN202110057918 A CN 202110057918A CN 112782512 A CN112782512 A CN 112782512A
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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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
- G01R21/001—Measuring real or reactive component; Measuring apparent energy
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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
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Abstract
The invention discloses a method and a device for judging the state of electrical equipment and diagnosing faults, which are used for solving the problem of low accuracy of diagnosing the state and the faults of the electrical equipment. The scheme provided by the application comprises the following steps: acquiring an electrical quantity parameter curve of target electrical equipment in a target time period and a target running state of the target electrical equipment in the target time period; determining a matched standard parameter curve according to the target operation state of the target electrical equipment in the target time period, wherein the standard parameter curve is generated by the electrical quantity of the target electrical equipment in normal operation in the target operation state; comparing the target parameter curve with the standard parameter curve to generate a parameter comparison result; and determining the fault type of the target electrical equipment in the target time period according to the parameter comparison result. According to the scheme of the embodiment of the invention, the standard parameter curve matched with the target operation state can be determined, and the standard parameter curve is used for realizing judgment and fault diagnosis aiming at the operation state of the electrical equipment, so that the diagnosis accuracy is improved.
Description
Technical Field
The invention relates to the field of electrical equipment, in particular to a method and a device for judging the state and diagnosing faults of electrical equipment.
Background
The electrical equipment measurement and control system is widely used in various production and living places and is distributed in all aspects of production and living. The electric measurement and control system can be used for controlling the motor to drive the production equipment and driving the breaker to switch on and off through the electromagnetic coil. However, the existing electrical equipment measurement and control system often judges the state of equipment such as a switch or a breaker through a synchronous auxiliary contact or a mechanical stroke position contact, and if the contacts are abnormal, the on-off state of the equipment cannot be accurately judged.
In addition, the long-term operation of the electrical equipment often causes the aging of each component of the equipment, the reduction of the insulating property, the long-term stress deformation of mechanical parts, the lack of oil and dust accumulation of a mechanical structure and the jam of a mechanism in motion, and the faults caused by the long-term use of the above types cannot be detected through the existing electrical measurement and control system.
How to improve the accuracy of the state judgment and the fault diagnosis of the electrical equipment is the technical problem to be solved by the application.
Disclosure of Invention
The embodiment of the application aims to provide a method and a device for judging the state of electrical equipment and diagnosing faults, which are used for solving the problems of low accuracy of diagnosing the state and the faults of the electrical equipment.
In a first aspect, a method for determining a state and diagnosing a fault of an electrical device is provided, which includes:
acquiring an electrical quantity parameter curve of target electrical equipment in a target time period and a target running state of the target electrical equipment in the target time period;
determining a matched standard parameter curve according to a target operation state of the target electrical equipment in a target time period, wherein the standard parameter curve is generated by an electrical quantity of the target electrical equipment in normal operation in the target operation state;
comparing the target parameter curve with the standard parameter curve to generate a parameter comparison result;
and determining the actual operation state and the fault type of the target electrical equipment in the target time period according to the parameter comparison result.
In a second aspect, an electrical device state determination and fault diagnosis apparatus is provided, including:
the acquisition module is used for acquiring an electrical quantity parameter curve of target electrical equipment in a target time period and a target operation state of the target electrical equipment in the target time period;
the determining module is used for determining a matched standard parameter curve according to a target operation state of the target electrical equipment in a target time period, wherein the standard parameter curve is generated by electrical quantity of the target electrical equipment in normal operation in the target operation state;
the comparison module is used for comparing the target parameter curve with the standard parameter curve to generate a parameter comparison result;
and the diagnosis module is used for determining the actual running state and the fault type of the target electrical equipment in the target time period according to the parameter comparison result.
In a third aspect, an electronic device is provided, the electronic device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the method according to the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, realizes the steps of the method as in the first aspect.
In the embodiment of the application, an electrical quantity parameter curve of a target electrical device in a target time period and a target operation state of the target electrical device in the target time period are obtained; determining a matched standard parameter curve according to a target operation state of the target electrical equipment in a target time period, wherein the standard parameter curve is generated by an electrical quantity of the target electrical equipment in normal operation in the target operation state; comparing the target parameter curve with the standard parameter curve to generate a parameter comparison result; and determining the fault type of the target electrical equipment in the target time period according to the parameter comparison result. According to the scheme of the embodiment of the invention, the standard parameter curve matched with the target operation state can be determined, and the standard parameter curve is used for diagnosing the fault aiming at the operation state of the electrical equipment, so that the diagnosis accuracy is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1a is a schematic flow chart of a method for determining a status and diagnosing a fault of an electrical device according to an embodiment of the present invention;
FIG. 1b is a schematic diagram of an electrical circuit including an electrical device in accordance with one embodiment of the present invention;
FIG. 2 is a second schematic flow chart of a method for determining the status and diagnosing faults of an electrical device according to an embodiment of the present invention;
fig. 3 is a third schematic flow chart of a method for determining a status and diagnosing a fault of an electrical device according to an embodiment of the present invention;
FIG. 4 is a fourth schematic flowchart of a method for determining a status and diagnosing a fault of an electrical device according to an embodiment of the present invention;
FIG. 5 is a fifth flowchart illustrating a method for determining a status and diagnosing a fault of an electrical device according to an embodiment of the present invention;
FIG. 6 is a sixth schematic flowchart of a method for determining a status and diagnosing a fault of an electrical device according to an embodiment of the present invention;
FIG. 7a is a graph of standard parameters for contactor C in normal operation according to an embodiment of the present invention;
FIG. 7b is a graph of an electrical quantity parameter of one embodiment of the present invention contactor C operating over a target time period;
FIG. 8a is a schematic diagram of an electrical control circuit in accordance with an embodiment of the present invention;
FIG. 8b is a graph of switch closing plus switch energy storage state current based on FIG. 8 a;
FIG. 8c is a graph based on the switch opening current of FIG. 8 a;
FIG. 8d is a graph of switch on plus switch energy storage state current during a first target time period based on FIG. 8 a;
FIG. 8e is a graph of switching off current during a second target period based on FIG. 8 a;
fig. 9 is a seventh schematic flowchart of a method for determining a status and diagnosing a fault of an electrical device according to an embodiment of the present invention;
FIG. 10 is a schematic circuit diagram of an embodiment of the present invention including an electrical GIS electrical isolator switch;
fig. 11 is a schematic structural diagram of an electrical equipment state determination and fault diagnosis apparatus according to an embodiment of the present invention;
fig. 12 is a second schematic structural diagram of an electrical equipment state determination and fault diagnosis apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. The reference numbers in the present application are only used for distinguishing the steps in the scheme and are not used for limiting the execution sequence of the steps, and the specific execution sequence is described in the specification.
In the field of measurement and control of electrical equipment, the electrical equipment can be divided into primary equipment and secondary equipment. Wherein, the switch, the circuit breaker and other equipment in the primary equipment can be controlled by the electric secondary measurement and control system. The primary equipment can be in various states such as 'on' and 'off' according to the state division. When the states of the primary equipment such as the switch and the breaker are obtained, if the states of the primary equipment are determined through the switch or the synchronous auxiliary contact of the breaker and the stroke position contact of the mechanical structure, the actual state of the primary equipment cannot be accurately obtained when the contact is abnormal, the primary equipment cannot be effectively controlled through a remote control system, and a technician can comprehensively judge the state of the primary equipment on site to perform corresponding processing.
In addition, when the switch contact is abnormal, the switch often suffers from mechanical structure deterioration along with the extension of the service life, and the deterioration condition of the switch mechanical structure is difficult to accurately know only through a remote system. Therefore, when the switch is remotely controlled, various control abnormalities such as switch control delay, switch jam, and switch control failure caused by the deterioration of a mechanical structure may occur.
In order to solve the problems in the prior art, the embodiment of the application provides an electrical equipment fault diagnosis method, which can be applied to a new electrical equipment measurement and control technology, is suitable for monitoring the operation condition and the equipment degradation trend of electrical equipment, and can be applied to the technical field of electrical secondary measurement and control.
An embodiment of the present application provides a method for determining a state and diagnosing a fault of an electrical device, as shown in fig. 1a, including the following steps:
s11: the method comprises the steps of obtaining an electrical quantity parameter curve of a target electrical device in a target time period and a target operation state of the target electrical device in the target time period.
For example, a ZH-102 portable power failure recording analysis device may be used to obtain the electrical parameter curve in this step, wherein the electrical analog quantity is analyzed and calculated at 20 points per cycle, and the calculation time is less than 200 us.
The electrical quantity in the embodiment of the present application may include parameters, such as voltage, current, and action time, that can represent the operating state of the target electrical device. The electrical quantity parameter curve may be a curve generated from one electrical quantity parameter or a plurality of electrical quantity parameters.
Fig. 1b shows a schematic diagram of an electrical circuit containing an electrical device, in this embodiment, which will be subjected to fault diagnosis for one or more ac contactors C as shown in fig. 1 b. Of course, the scheme provided in the embodiment of the present application may also be applied to the state judgment and fault diagnosis of other electrical devices, and this example is only used to illustrate the scheme, and the present application does not limit the circuit structure of the diagnosed electrical device.
In the step, at least one contactor C to be diagnosed is determined, an electric quantity conversion success rate curve of the contactor C in a target time period is collected, and a target operation state of the contactor C in the target time period is obtained. The target operation state may include, for example, that the contactor C is in an "on" or "off" state, or may further include a switching action performed by the contactor C within a target period, and the like.
S12: and determining a matched standard parameter curve according to the target operation state of the target electrical equipment in the target time period, wherein the standard parameter curve is generated by the electrical quantity of the target electrical equipment in normal operation in the target operation state.
The standard parameter curve may be a power curve obtained by converting collected electrical quantities after the contactor C is controlled to be in a target operation state when the contactor C normally operates.
For example, when the target operation state is "on", the matched standard parameter curve may be a power curve converted from the electrical quantity collected when the contactor C is normally operated and in the "on" state.
For another example, when the target operating state is from "on" to "off", the matched standard parameter curve may be a power curve obtained by converting the electrical quantity collected in the process from "on" to "off" when the contactor C is not abnormal.
S13: and comparing the target parameter curve with the standard parameter curve to generate a parameter comparison result.
In this step, the target parameter curve is compared with the matched standard parameter curve, and the generated parameter comparison result may include a deviation value, a deviation rate, a time point (or a time period) at which the deviation occurs, and the like of the parameter curve. The generated parameter comparison result can represent the deviation between the target parameter curve and the standard parameter curve.
S14: and determining the actual operation state and the fault type of the target electrical equipment in the target time period according to the parameter comparison result.
Since the parameter comparison result can reflect the deviation condition of the electrical quantity of the target electrical equipment in the target time period from the electrical quantity in normal operation, the state change and the type of possible faults of the electrical equipment in the target time period can be determined according to the parameters such as the time point of the deviation, the deviation value and the like.
In this embodiment, the actual operation state of the electrical device may be determined first, and then the fault type of the electrical device may be determined according to the actual operation state of the electrical device. For example, assuming that the electrical device is controlled from "on" to "off" by the command, in step S14, it may be first determined whether the actual operating state of the electrical device becomes the operating state of "off" under the command control, based on the electrical quantity parameter of the target electrical device within the target period.
If the actual running state is 'minute', the electric equipment can be controlled according to the instruction, and then whether the electric equipment has faults of aging, jamming and the like can be further judged by comparing with a standard parameter curve.
If the actual operation state is 'on', the electric equipment cannot be controlled according to the instruction, and then the electric equipment cannot be normally controlled due to the reason can be further judged by comparing with a standard parameter curve, so that the fault type of the electric equipment is determined.
According to the scheme provided by the embodiment of the application, the electric quantity parameter curve is generated by obtaining the electric quantity of the target electric equipment, the abnormal parameter represented by the fault of the electric equipment can be obtained by comparing the electric quantity parameter curve with the normal parameter curve of the electric equipment, the actually occurring fault type is determined according to the abnormal parameter, and the accuracy of determining the fault type is improved. The automatic and efficient diagnosis can be realized, and the diagnosis result is objective. The determined fault type, the parameter comparison result, the target parameter curve and the standard parameter curve can also be used for determining a fault solution of the electrical equipment, so that the efficiency of processing faults is improved conveniently.
Based on the solution provided in the foregoing embodiment, optionally, the target time period includes a time when the target electrical device switches the operating state.
In this embodiment, the switching operation state of the electrical device may refer to a process in which the electrical device is switched from one operation state to another operation state. For example, the target time period may include a time when the target electrical device is switched from "on" to "off". In other words, the target period includes the time when the target electrical device performs the "on" action from the "on" state.
In the scheme provided by the embodiment of the application, the target time period includes the time when the target electrical device switches the operation state, and the acquired electrical quantity parameter curve can represent the process of the target electrical device executing the switching action. When the target electrical equipment has faults such as switch aging, jamming and the like, the acquired electrical quantity parameters containing the switching action can clearly reflect the relevant parameters of the faults, and the accuracy of diagnosing the fault types is improved conveniently.
Based on the solution provided by the foregoing embodiment, as shown in fig. 2, before the foregoing step S12, optionally, the method further includes:
s21: and acquiring the standard electrical quantity of the target electrical equipment in normal operation in each operation state.
The target electrical device can be in various operating states, and besides the on state and the off state, the target electrical device can be in a switch intermediate state or other states. In addition, the standard electrical quantity obtained in this step may further include a change in the electrical quantity during the switching action performed by the target electrical device, for example, the electrical quantity for the target electrical device to be switched from "on" to "off" state.
In practical applications, the standard electrical quantity may be obtained first before the target electrical device is put into production, and the electrical quantity of the target electrical device obtained before the target electrical device is put into production may be regarded as the electrical quantity when the target electrical device is not abnormal and is normally operated.
S22: and generating a standard parameter curve based on the running time according to the standard electrical quantity.
In this step, a standard parameter curve is generated based on the operating time according to the acquired standard electrical quantity. When the target electrical equipment can be in a plurality of operation states, a matched standard parameter curve is generated for each operation state.
S23: and associating an operation state label with the standard parameter curve according to the operation state of the target electrical equipment when the standard electrical quantity is obtained.
The operation state label is used for representing the operation state of the target electrical device, and the form of the label is not limited to the forms of characters, numbers, symbols and the like, and can also be icons, sounds or other forms. In this step, the standard curve and the operation status label may be associated by a marking method, or the standard parameter curve and the operation status label may be associated in a form of a table or a database.
According to the method and the device, the electrical quantity of the target electrical equipment in normal operation is obtained, the standard parameter curve is generated based on the operation time and is associated with the operation state label, the matched standard parameter curve can be conveniently determined according to the target operation state of the target electrical equipment in the subsequent step, and the accuracy of fault type diagnosis is improved.
Based on the solution provided by the foregoing embodiment, optionally, as shown in fig. 3, the step S12 of determining the standard parameter curve matching the target operating state includes the following steps:
s31: and determining a target operation state label matched with the target operation state from the operation state labels associated with the standard parameter curve.
S32: and determining a standard parameter curve associated with the target operation state label as a standard parameter curve matched with the target operation state.
The operating state tags associated with the standard parameter curves may be stored in a table, for example, and the storage addresses of the standard parameter curves associated with the operating state tags may be recorded in the table. By inquiring the target operation state label matched with the target operation state in the table, the storage address of the associated standard parameter curve can be determined, and the associated standard parameter curve can be further obtained.
For the standard parameter curve and the running state label stored in the database, the target running state label matched with the target running state can be inquired through a retrieval tool, and then the standard parameter curve stored in the database is obtained.
According to the scheme provided by the embodiment of the application, the matched standard parameter curve can be obtained through the target running state label matched with the target running state, the obtained standard parameter curve is matched with the running state of the target electrical equipment in the target time interval, and the accuracy of diagnosing the fault of the electrical equipment is improved.
Based on the solution provided by the foregoing embodiment, optionally, as shown in fig. 4, in the foregoing step S11, acquiring an electrical quantity parameter curve of the target electrical device in a target time period and a target operating state of the target electrical device in the target time period includes the following steps:
s41: acquiring a target electrical quantity of target electrical equipment in a target time period;
in practical applications, the electrical quantity of the target device in the target time period may be collected by the collecting device to generate the target electrical quantity. The target electrical quantity may include one or more parameters that are indicative of an operating condition of the target electrical device over the target time period.
S42: and generating an electrical quantity parameter curve based on the running time according to the target electrical quantity.
For example, the operating time is used as an abscissa, and the electrical parameter is used as an ordinate to generate the electrical parameter curve. The electric quantity parameter curve generated based on time can represent the change condition of the electric quantity parameter along with time, and is convenient for analyzing and determining faults such as action delay, jamming and the like.
S43: and determining the target running state of the target electrical equipment in the target time period according to the switching state of the target electrical equipment in the target time period.
The operation state of the target electrical device in the target period may be a fixed operation state, such as "on" of the target electrical device in the target period. Alternatively, the target electrical device switches between the plurality of operating states during the target time period, for example, the target electrical device switches from "on" to "off" during the target time period. The target electrical device may be in one constant operating state during the target period, or may be switched between different operating states by performing one or more actions. The target operating state determined in this step is used to characterize one or more operating states of the target electrical device during the target time period.
According to the scheme provided by the embodiment of the application, the electric quantity parameter curve can be generated based on the running time by acquiring the electric quantity of the target electric equipment, the generated electric quantity parameter curve can clearly reflect the change condition of the electric quantity parameter based on the time, and data support is provided for diagnosing the actual fault of the electric equipment.
Based on the solution provided in the foregoing embodiment, optionally, as shown in fig. 5, in the foregoing step S13, comparing the target parameter curve with the standard parameter curve to generate a parameter comparison result, including the following steps:
s51: determining at least one of the following operating performances characterized by the target parameter curve and the standard parameter curve: operation parameter peak value, action time length and action energy consumption.
In the standard parameter curve containing fluctuation, the operation performance such as the peak value, the action time length, the action energy consumption and the like of the operation parameters can reflect the action execution process of the target electrical equipment, and if the peak value, the action time and the action energy consumption of the operation parameters are too high, the target electrical equipment is abnormal.
S52: and generating a parameter comparison result according to the deviation value of the operation performance of the target parameter curve and the standard parameter curve.
The deviation value in the step can represent the deviation between the electrical quantity parameter of the target electrical equipment in the target time period and the electrical quantity parameter in normal operation, if the deviation is too large, the target electrical equipment can be determined to be abnormal, and then the fault type of the target electrical equipment can be analyzed and determined according to the actual deviation time point or time period and the deviation value.
By the scheme provided by the embodiment of the application, the running performance of the target parameter curve and the running performance of the matched standard parameter curve are compared and analyzed, the deviation of the target electrical equipment from a normal state in a target time period can be determined, the fault caused by mechanical aging deformation can be effectively identified, and the accuracy of the diagnosed fault type is further improved.
Based on the solution provided in the foregoing embodiment, optionally, as shown in fig. 6, in step S14, determining the actual operating state and the fault type of the target electrical device in the target time period according to the parameter comparison result includes the following steps:
s61: and when the parameter comparison result represents that the deviation value of the operation performance of the target parameter curve and the standard parameter curve is greater than a preset deviation value, determining the fault type of the target electrical equipment in the target time period according to the deviation of the target parameter curve and the standard parameter curve.
In practical application, the target parameter curve often has a certain deviation from the standard parameter curve, and if the deviation is smaller than or equal to a preset deviation value, the target electrical equipment can be determined to be in a normal state and has no obvious fault. If the deviation value of the operation performance of the target parameter curve and the standard parameter curve is large, such as the parameter curve peak value is too high, the action time is obviously prolonged, the action energy consumption is obviously increased, and the like, the target electrical equipment is indicated to have a fault, and then the fault type of the target electrical equipment can be determined according to the deviation of the target parameter curve and the standard parameter curve.
The present solution is illustrated by way of example below. Based on the electrical circuit diagram shown in fig. 1b, the standard parameter curve obtained during normal operation of the contactor C to be diagnosed is shown in fig. 7 a. A time after the electric circuit is put into production, an electric quantity parameter curve of the contactor C in a target time period is obtained as shown in fig. 7 b. As can be seen from comparing the power curve with fig. 7a and 7b, the peak deviation of the power curve is not large, the action time of the contactor is obviously increased, that is, the stabilization time of the power curve is also obviously increased, and the area enclosed by the power curve is also obviously increased. At this time, it can be determined that the fault type of the contactor C is mechanical structure jamming, the power consumption is increased during the action, the power curve is lengthened, and the action time is prolonged. And then the contactor can be disassembled according to the determined fault type to carry out cleaning and repairing.
After the contactor with the fault is cleaned and repaired, the electrical quantity parameter curve can be obtained again to analyze the repairing effect, so that whether the contactor is restored to a normal state or not and whether the fault is eliminated or not can be determined.
Fig. 8a shows another electrical control loop schematic. The switch in fig. 8a can have three states: the switch is in a closing state, a switch energy storage state and a switching-off state. And acquiring a standard parameter curve when the electric control loop is in a normal state. The voltage of the direct current power supply is basically stable, and only direct current parameters can be collected to generate a standard parameter curve. The standard parameter curves include a switch closing plus switch energy storage state current curve shown in fig. 8b and a switch opening current curve shown in fig. 8 c. The abscissa in fig. 8b and 8c is time and the ordinate is the current parameter value. Based on the abscissa of the curve in the figure, it is assumed that the charging time of the closing electromagnet is about 420ms when the switch is closed, the charging action time of the energy storage motor is about 3410ms when the switch is stored energy, and the charging time of the opening electromagnet is about 314ms when the switch is opened.
Obtaining an electrical parameter curve of the electrical control circuit in fig. 8a in a target time period, where fig. 8d is a current curve of the switch on/off state and the switch energy storage state in a first target time period, and fig. 8e is a current curve of the switch off/on state in a second target time period. As can be seen from comparing fig. 8d with fig. 8b, the current curves are substantially overlapped, the deviation value is small, and it can be determined that the electric control circuit in the first target time period is normally closed, the switching state is good, and no obvious fault exists. As can be seen from comparison between fig. 8c and fig. 8e, the current curves are substantially overlapped, the deviation value is small, and it can be determined that the opening of the electrical control circuit in the second target time period is normal, the switching state is good, and no obvious fault exists.
Through the scheme provided by the embodiment of the application, through comparing switch opening and closing test data in the switch periodic preventive test, the deviation condition can be determined according to the comparison result, and if no obvious deviation exists, the overall state of the switch can be determined to be good. In practical application, the method can be used for carrying out regular maintenance on the switch, accurately judging the type of the switch fault and avoiding the out-of-control of electrical equipment caused by the switch fault.
A schematic flow diagram of the electrical equipment fault diagnosis method provided in an embodiment of the present application is shown in fig. 9, in the scheme provided in the embodiment of the present application, the electrical quantity of the target electrical equipment when the switching state changes is collected, a power curve is obtained through conversion according to the electrical quantity, a comparison result is generated by comparing the matched standard parameter curve with the converted power curve, the fault type of the target electrical equipment is determined when the deviation is greater than the preset deviation value, and an alarm signal can be further generated according to the fault type to remind a technician of timely maintenance.
In this embodiment of the application, the preset deviation value may be 10%, that is, it is determined that the target electrical device has a fault when the deviation value between the obtained power curve and the matched standard power curve exceeds 10%, and then the fault type is determined, so as to facilitate timely maintenance.
The scheme provided by the embodiment of the application can at least achieve the following technical effects:
A. the collected electrical signals are bottom layer signals, and the accuracy of data acquisition can be effectively improved.
The traditional electric control loop generally adopts a relay or an auxiliary switch contact signal for judging the loop state, the relay and the auxiliary switch can reflect the state after the action, and if the intermediate conversion process goes wrong, the loop state cannot be correctly reflected. The electric quantity curve judgment method can directly reflect the loop state, has no conversion process and ensures more accurate signals.
B. The device state in the process of switching the electric loop can be reflected.
The traditional electric control loop can only reflect that the loop is in a certain state, such as a closing state and an opening state, and cannot reflect the condition of the loop in the state conversion process. By adopting an electrical quantity curve judgment method, whether mechanical mechanisms of a relay and a switch are in good states in a state conversion process is judged by collecting electrical quantities of the relay, the electromagnet and other switch action processes, and equipment degradation tendency can be judged through long-term data comparison.
C. The information can be acquired in real time during operation, and the current state of the electric circuit component can be judged.
By adopting the method for judging the state of the equipment, the information can be acquired under the condition of normal operation of the equipment, the method is not directly related to other control components of the equipment, the overall function of a control loop is not influenced, the method can be additionally installed or removed at any time, and the sampling mode is flexible.
In addition, the embodiment of the application can be applied to various electric circuits. In particular, the method can be applied to auxiliary judgment of the switch state.
Fig. 8a shows a switch secondary control loop, the switch on-off state of the switch is indicated by an on-off indicator light, a sampling device is connected to a control power switch of the switch control loop, a signal is output to a fault recorder, when the switch state is switched, the current of the secondary control loop changes, the sequence of the electrified action of the components of the loop can be judged by contrasting original data, and the position state of the switch can be deduced. And the current curve can be checked against the original data to judge whether the mechanical conversion process of the switch is smooth or not.
Or, the method can also be used for auxiliary judgment of the state of the electric GIS electric isolating switch.
As shown in fig. 10, the opening and closing state of the GIS disconnecting switch can be generally judged only by the marks of the travel position switch and the on-site mechanical crank arm, but cannot be accurately judged when the inside of the disconnecting switch is abnormal. The principle of the method is that when the position of the isolating switch changes (on-off and on-off), if no abnormity exists, consumed kinetic energy is relatively constant, the kinetic energy is provided by the motor and is constant, electric energy consumed by the motor is relatively constant, and whether the conversion process of a mechanical device of the isolating switch is normal or not is judged by measuring electric quantities such as voltage, current, starting time and the like when the isolating switch is normally switched on and off and comparing the electric quantity of the motor when the isolating switch is normally switched on and off, and the switching on and off state of the isolating switch can be accurately determined by combining a stroke position switch.
Or the method can also be used for auxiliary judgment of the state of the low-voltage alternating-current switch.
When the low-voltage alternating-current control switch control power supply is an alternating-current power supply, voltage, current and action time in the equipment state conversion process are collected, the voltage and the current are sine waves and need to be converted into power signals, and the on-off state, the abnormal condition and the degradation trend can be judged by comparing power curves in the switch conversion process.
It should be noted that, in the scheme provided in the embodiment of the present application, a ZH-102 portable power fault recording analysis device is used to obtain an electrical quantity parameter curve, and a sampling parameter is set according to an actual operating electrical quantity of the device. In practical application, other signal sampling devices can be adopted, and the sampling parameters can be feasible as long as the sampling parameters meet the actual analysis requirements of the electrical quantity.
In order to solve the problems in the prior art, an embodiment of the present application provides an electrical equipment fault diagnosis apparatus 1100, as shown in fig. 11, including:
the obtaining module 1101 is configured to obtain an electrical quantity parameter curve of a target electrical device in a target time period and a target operating state of the target electrical device in the target time period;
a determining module 1102, configured to determine a matched standard parameter curve according to a target operation state of the target electrical device in a target time period, where the standard parameter curve is generated by an electrical quantity of the target electrical device during normal operation in the target operation state;
a comparison module 1103, comparing the target parameter curve with the standard parameter curve to generate a parameter comparison result;
and the diagnosis module 1104 determines the actual operation state and the fault type of the target electrical equipment in the target time period according to the parameter comparison result.
Based on the apparatus provided in the foregoing embodiment, optionally, the target time period includes a time when the target electrical device switches the operating state.
Based on the apparatus provided in the foregoing embodiment, optionally, as shown in fig. 12, further includes a correlation module 1105, configured to perform the following steps before determining the standard parameter curve matching the target operating state:
acquiring standard electrical quantity of the target electrical equipment in normal operation in each operation state;
generating a standard parameter curve based on the running time according to the standard electrical quantity;
and associating an operation state label with the standard parameter curve according to the operation state of the target electrical equipment when the standard electrical quantity is obtained.
Based on the apparatus provided in the foregoing embodiment, optionally, the determining module 1102 is configured to:
determining a target operation state label matched with the target operation state from the operation state labels associated with the standard parameter curve;
and determining a standard parameter curve associated with the target operation state label as a standard parameter curve matched with the target operation state.
Based on the apparatus provided in the foregoing embodiment, optionally, the obtaining module 1101 is configured to:
acquiring a target electrical quantity of target electrical equipment in a target time period;
generating an electrical quantity parameter curve based on the running time according to the target electrical quantity;
and determining the target running state of the target electrical equipment in the target time period according to the switching state of the target electrical equipment in the target time period.
Based on the apparatus provided in the foregoing embodiment, optionally, the comparing module 1103 is configured to:
determining at least one of the following operating performances characterized by the target parameter curve and the standard parameter curve: operation parameter peak value, action time length and action energy consumption;
and generating a parameter comparison result according to the deviation value of the operation performance of the target parameter curve and the standard parameter curve.
Based on the apparatus provided in the foregoing embodiment, optionally, the diagnosis module 1104 is configured to:
and when the parameter comparison result represents that the deviation value of the operation performance of the target parameter curve and the standard parameter curve is greater than a preset deviation value, determining the fault type of the target electrical equipment in the target time period according to the deviation of the target parameter curve and the standard parameter curve.
By the device provided by the embodiment of the application, an electrical quantity parameter curve of the target electrical equipment in a target time period and a target running state of the target electrical equipment in the target time period can be obtained; determining a standard parameter curve matched with the target operation state, wherein the standard parameter curve is generated by the electrical quantity of the target electrical equipment in normal operation in the target operation state; comparing the target parameter curve with the standard parameter curve to generate a parameter comparison result; and determining the fault type of the target electrical equipment in the target time period according to the parameter comparison result. According to the scheme of the embodiment of the invention, the standard parameter curve matched with the target operation state can be determined, and the standard parameter curve is used for diagnosing the fault aiming at the operation state of the electrical equipment, so that the diagnosis accuracy is improved.
Preferably, an embodiment of the present invention further provides an electronic device, which includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor, and when the computer program is executed by the processor, the electronic device implements each process of the above-mentioned electrical device fault diagnosis method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not described here again.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the above-mentioned electrical device fault diagnosis method embodiment, and can achieve the same technical effect, and is not described herein again to avoid repetition. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, 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. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A method for judging the state and diagnosing the fault of an electrical device is characterized by comprising the following steps:
acquiring an electrical quantity parameter curve of target electrical equipment in a target time period and a target running state of the target electrical equipment in the target time period;
determining a matched standard parameter curve according to a target operation state of the target electrical equipment in a target time period, wherein the standard parameter curve is generated by an electrical quantity of the target electrical equipment in normal operation in the target operation state;
comparing the target parameter curve with the standard parameter curve to generate a parameter comparison result;
and determining the actual operation state and the fault type of the target electrical equipment in the target time period according to the parameter comparison result.
2. The method of claim 1, wherein the target period of time comprises a time at which the target electrical device switches operational state.
3. The method of claim 2, wherein prior to determining a standard parameter curve that matches the target operating condition, further comprising:
acquiring standard electrical quantity of the target electrical equipment in normal operation in each operation state;
generating a standard parameter curve based on the running time according to the standard electrical quantity;
and associating an operation state label with the standard parameter curve according to the operation state of the target electrical equipment when the standard electrical quantity is obtained.
4. The method of claim 3, wherein determining a matching standard parameter curve based on the target operating condition of the target electrical device for the target time period comprises:
determining a target operation state label matched with the target operation state from the operation state labels associated with the standard parameter curve;
and determining a standard parameter curve associated with the target operation state label as a standard parameter curve matched with the target operation state.
5. The method of claim 2, wherein obtaining an electrical quantity parameter curve of a target electrical device over a target time period and a target operating state of the target electrical device over the target time period comprises:
acquiring a target electrical quantity of target electrical equipment in a target time period;
generating an electrical quantity parameter curve based on the running time according to the target electrical quantity;
and determining the target running state of the target electrical equipment in the target time period according to the switching state of the target electrical equipment in the target time period.
6. The method of any one of claims 2 to 5, wherein comparing the target parameter curve to the standard parameter curve to generate a parameter comparison result comprises:
determining at least one of the following operating performances characterized by the target parameter curve and the standard parameter curve: operation parameter peak value, action time length and action energy consumption;
and generating a parameter comparison result according to the deviation value of the operation performance of the target parameter curve and the standard parameter curve.
7. The method of claim 6, wherein determining the actual operating status and the fault type of the target electrical device within the target time period according to the parameter comparison result comprises:
and when the parameter comparison result represents that the deviation value of the operation performance of the target parameter curve and the standard parameter curve is greater than a preset deviation value, determining the fault type of the target electrical equipment in the target time period according to the deviation of the target parameter curve and the standard parameter curve.
8. An electrical equipment state judgment and fault diagnosis device, comprising:
the acquisition module is used for acquiring an electrical quantity parameter curve of target electrical equipment in a target time period and a target operation state of the target electrical equipment in the target time period;
the determining module is used for determining a matched standard parameter curve according to a target operation state of the target electrical equipment in a target time period, wherein the standard parameter curve is generated by electrical quantity of the target electrical equipment in normal operation in the target operation state;
the comparison module is used for comparing the target parameter curve with the standard parameter curve to generate a parameter comparison result;
and the diagnosis module is used for determining the actual running state and the fault type of the target electrical equipment in the target time period according to the parameter comparison result.
9. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, which computer program, when executed by the processor, carries out the steps of the method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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Application publication date: 20210511 |