CN109034424B - Transformer substation equipment maintenance management method and device and terminal equipment - Google Patents
Transformer substation equipment maintenance management method and device and terminal equipment Download PDFInfo
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Abstract
The invention is suitable for the technical field of equipment maintenance, and provides a method and a device for maintaining and managing substation equipment and terminal equipment, wherein the method comprises the following steps: acquiring current state information of the power equipment; determining whether the power equipment has faults or not according to the current state information; if the power equipment has faults, determining the fault level of the power equipment according to the current state information of the power equipment; and determining corresponding maintenance measures according to the fault level of the power equipment. According to the invention, the fault grade can be determined through the current state information of the power equipment, and corresponding maintenance measures are given, so that the troubleshooting time of the power equipment fault is shortened, the maintenance efficiency of the power equipment fault is improved, and the safety and stable operation of the power equipment are ensured.
Description
Technical Field
The invention belongs to the technical field of equipment maintenance, and particularly relates to a method and a device for maintaining and managing substation equipment and terminal equipment.
Background
The power system consists of links such as power generation, power transmission, power transformation, power distribution and power utilization, wherein each link is formed by splicing various power equipment with various quantities. The traditional secondary equipment of the power system mainly comprises a relay protection system, a safety automatic device, a fault recording system, an on-site monitoring system and a motion system. With the rapid development of computer technology and communication technology, the demands of smart grids, extra-high voltage systems and new energy resources will be increased. A failure of the power system due to the secondary equipment sometimes occurs in actual operation.
When traditional power equipment is maintained, the power equipment is usually maintained regularly to reduce the equipment failure rate, and after the power equipment breaks down, a worker can determine the fault location of the power equipment after checking, and then performs equipment maintenance aiming at the fault reason.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for maintaining and managing substation equipment, and a terminal device, so as to solve the problems in the prior art that equipment failure is not found in time and the equipment failure maintenance efficiency is low.
A first aspect of an embodiment of the present invention provides a method for maintaining and managing substation equipment, including:
acquiring current state information of the power equipment;
determining whether the power equipment has faults or not according to the current state information;
if the power equipment has faults, determining the fault level of the power equipment according to the current state information of the power equipment;
and determining corresponding maintenance measures according to the fault level of the power equipment.
A second aspect of the embodiments of the present invention provides a substation equipment maintenance management apparatus, including:
the current state information acquisition module is used for acquiring current state information of the power equipment;
the fault judgment module is used for determining whether the power equipment has faults or not according to the current state information;
the fault grade determining module is used for determining the fault grade of the power equipment according to the current state information of the power equipment if the power equipment has faults;
and the maintenance measure determining module is used for determining corresponding maintenance measures according to the fault level of the power equipment.
A third aspect of the embodiments of the present invention provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the substation device maintenance management method when executing the computer program.
A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the steps of the substation equipment maintenance management method are implemented.
Compared with the prior art, the embodiment of the invention has the following beneficial effects: the method includes the steps that firstly, current state information of the power equipment is obtained; then, determining whether the power equipment has faults or not according to the current state information; if the power equipment has faults, determining the fault level of the power equipment according to the current state information of the power equipment; and finally, determining corresponding maintenance measures according to the fault grade of the power equipment. According to the embodiment of the invention, the fault grade can be determined according to the current state information of the power equipment, and corresponding maintenance measures are given, so that the troubleshooting time of the power equipment fault is shortened, the maintenance efficiency of the power equipment fault is improved, and the safety and stable operation of the power equipment are ensured.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart of an implementation of a substation equipment maintenance management method according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a specific implementation of S102 in fig. 1 according to an embodiment of the present invention;
fig. 3 is a flowchart of a specific implementation of S201 in fig. 2 according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating a specific implementation of S103 in fig. 1 according to an embodiment of the present invention;
fig. 5 is a flowchart illustrating a specific implementation of S104 in fig. 1 according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a substation equipment maintenance management device according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
The terms "comprises" and "comprising," and any variations thereof, in the description and claims of this invention and the above-described drawings are intended to cover non-exclusive inclusions. For example, a process, method, or system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus. Furthermore, the terms "first," "second," and "third," etc. are used to distinguish between different objects and are not used to describe a particular order.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Example 1:
fig. 1 shows an implementation flow of a substation equipment maintenance management method provided by an embodiment of the present invention, and a process thereof is detailed as follows:
in S101, current state information of the electric power device is acquired.
In this embodiment, the flow main body is a terminal device, and the terminal device acquires the current state information of the power device according to a preset period. The power device may be a secondary device, and the current operating state may be current device power consumption data, where the current device power consumption data is used to represent heat energy dissipated by the power device. Signals in a source input loop of the power equipment are acquired through the Hall sensor, the signals are input into the A/D sampling system, the current value of the power supply input end of the secondary equipment is obtained, and the current power consumption data of the current equipment is obtained by multiplying the current value by the rated direct current voltage value preset by the power equipment.
In S102, it is determined whether the power device has a fault according to the current state information.
In this embodiment, since the power consumption of the power device in the normal operating state is usually kept within a certain range, it is possible to predict whether the power device has a fault by detecting the current device power consumption data of the power device.
In S103, if the power equipment has a fault, the fault level of the power equipment is determined according to the current state information of the power equipment.
In this embodiment, maintenance measures are correspondingly taken according to the severity of the fault of the power equipment.
In S104, a corresponding maintenance measure is determined according to the fault level of the power equipment.
As can be seen from the above embodiments, in the embodiments of the present invention, current state information of the power device is first acquired; then, determining whether the power equipment has faults or not according to the current state information; if the power equipment has faults, determining the fault level of the power equipment according to the current state information of the power equipment; and finally, determining corresponding maintenance measures according to the fault grade of the power equipment. According to the embodiment of the invention, the fault grade can be determined according to the current state information of the power equipment, and corresponding maintenance measures are given, so that the troubleshooting time of the power equipment fault is shortened, the maintenance efficiency of the power equipment fault is improved, and the safety and stable operation of the power equipment are ensured.
As shown in fig. 2, the current state information includes current device power consumption data, and in an embodiment of the present invention, fig. 2 shows a specific implementation flow of S102 in fig. 1, and the detailed process is as follows:
in S201, historical power consumption data of the electrical device is obtained, and predicted power consumption data of the electrical device is obtained according to the historical power consumption data.
In the present embodiment, in order to determine whether or not the electric power device has a failure, the predicted power consumption data of the electric power device at the present time may be predicted from the historical power consumption data thereof.
In S202, the predicted power consumption data is subtracted from the current device power consumption data to obtain a power consumption difference.
In this embodiment, the power consumption of the electrical equipment is used to represent the heat energy dissipated by the electrical component of the electrical equipment, and when the heat energy consumed by the electrical equipment is too large, the electrical equipment is at risk of being damaged, so that the predicted power consumption data is subtracted from the current equipment power consumption data, a power consumption difference value is calculated, and if the power consumption difference value is greater than a preset power consumption difference threshold value, it is determined that the power consumption of the electrical equipment is too large, it is determined that the electrical equipment has a fault.
In S203, if the power consumption difference is greater than the preset power consumption difference threshold, it is determined that the power device has a fault.
According to the embodiment, whether the power equipment has the fault or not is judged by comparing the current equipment power consumption data with the predicted power consumption data of the power equipment, and a warning can be given in time when the power equipment has the fault risk, so that a worker can timely know the fault condition of the power equipment, and therefore maintenance measures can be taken in time, the running time of the fault state of the power equipment is reduced, and the safe and stable operation of the power equipment is guaranteed.
As shown in fig. 3, in an embodiment of the present invention, the current state information includes a data acquisition time, and fig. 3 shows a specific implementation flow of S201 in fig. 2, and a detailed process thereof is as follows:
in S301, a data acquisition time of the current device power consumption data is acquired, and a time period to which the data acquisition time belongs is determined.
In this embodiment, the predicted power consumption data needs to be determined according to the historical power consumption data of the electrical equipment, the obtaining time of the power consumption data of the current equipment is firstly obtained as the data obtaining time, and then the time period to which the data obtaining time belongs is determined according to the data obtaining time and the time period division information, for example, if the data obtaining time is 15:00, the time period division information includes a morning time period of 7:00-11:00, a noon time period of 11:00-14:00, a afternoon time period of 14:00-17:00, an evening time period of 17:00-21:00, a evening time period of 21:00-24:00, and an early morning time period of 24:00-7: 00. By the time period division information, the time period to which the data acquisition time belongs can be determined to be the afternoon time period.
In S302, historical power consumption data corresponding to a time period is extracted from the historical power consumption records of the electrical equipment according to the time period to which the data acquisition time belongs.
In this embodiment, the actual power consumption of the power equipment is about the rated power consumption, and as the service life of the power equipment increases, the rated power consumption is gradually reduced due to the damage of the power components. Therefore, in order to accurately judge whether the power equipment has faults or not through the current equipment power consumption data of the power equipment, the current power consumption data can be predicted through the historical power consumption records, and therefore whether the power equipment has faults or not can be judged more accurately according to the current equipment power consumption data of the power equipment.
In this embodiment, the terminal device prestores historical power consumption records of the power devices, acquires all initial historical power consumption data corresponding to time periods in the historical power consumption records, and calculates average values of the initial historical power consumption data of the time periods of each day in the historical power consumption records respectively to obtain the historical power consumption data.
In S303, curve fitting is performed on the historical power consumption data to obtain a polynomial fitting curve of the historical power consumption data.
In this embodiment, in order to perform curve fitting on historical power consumption data as accurately as possible, a fourth-order polynomial fitting curve is first adopted, and each polynomial coefficient of the polynomial fitting curve is obtained through multiple sets of historical power consumption data, so as to obtain an accurate polynomial fitting curve, where the polynomial fitting curve is a curve with time as an abscissa, historical power consumption data as an ordinate, and date as an abscissa.
In S304, predicted power consumption data of the power device at the data acquisition time is obtained according to the polynomial fitting curve.
In this embodiment, the predicted power consumption data of the data acquisition time is obtained by fitting a curve with a polynomial and taking a date corresponding to the data acquisition time as an input.
According to the embodiment, the predicted power consumption data of the power equipment is obtained through the polynomial fitting curve, so that the predicted power consumption data of the power equipment can be more accurate, and whether the power equipment has faults or not can be more accurately judged.
As shown in fig. 4, in an embodiment of the present invention, fig. 4 shows a specific implementation flow of S103 in fig. 1, and a process thereof is detailed as follows:
in S401, when the power consumption difference value is greater than the first preset power consumption difference threshold and smaller than the second preset power consumption difference threshold, it is determined that the fault level of the power device is a primary fault.
In S402, when the power consumption difference is greater than a second preset power consumption difference threshold, it is determined that the fault level of the power device is a secondary fault.
As shown in fig. 5, in an embodiment of the present invention, fig. 5 shows a specific implementation flow of S104 in fig. 1, and a process thereof is detailed as follows:
in S501, if the fault level of the electrical device is a primary fault, the electrical device is marked as a key attention device, average power consumption data of the key attention device in a preset time period after the data acquisition time is acquired, and when the average power consumption data is greater than the current device power consumption data, first fault alarm information is generated and displayed.
In S502, if the failure level of the power equipment is a secondary failure, second failure alarm information is generated and displayed.
In this embodiment, the fault level is divided into a primary fault and a secondary fault according to the magnitude of the power consumption difference, when the fault level is the primary fault and the power consumption difference is greater than a first preset power consumption difference threshold and less than a second preset power consumption difference threshold, it indicates that the power consumption of the power equipment is large, and if the power equipment is in a large power consumption state for a short time, the power equipment is not greatly affected, and at this time, the staff may not be notified. However, the key attention device needs to be set in the terminal device to be displayed in a top mode, the power consumption data of the power device in a preset time period after the data acquisition time is continuously observed, if the average value of the power consumption data in the preset time period is larger than the power consumption data of the current device, first fault alarm information is generated, the first fault alarm information can be displayed to a worker in a sound-light alarm mode and can also be sent to a mobile terminal carried by the worker in a short message mode, the worker can conveniently acquire and timely process specific fault information of the power device, the first fault alarm information comprises position information, device numbers and specific fault information of the power device with a fault, and the specific fault information can be a power consumption data curve of the power device.
In this embodiment, when the failure level is a first-level failure, the control command may be sent to the heat dissipation module of the power device, and the heat dissipation module starts a heat dissipation operation according to the control command to cool the power device externally. The heat energy loss of the power equipment is reduced from the outside. So as to avoid the burning out of the power equipment due to the overheating of components with overlarge power consumption.
In this embodiment, the heat dissipation module may be a heat dissipation fan, or may be a plurality of semiconductor refrigerators TEC.
In one embodiment of the invention, the power equipment is maintained integrally according to a preset period. The method can record the occurrence frequency of the primary fault of the power equipment in a preset period, and obtains the maintenance sequence of the power equipment according to the occurrence frequency of the primary fault of the power equipment when overall maintenance is carried out on all the power equipment according to the occurrence frequency of the primary fault of the power equipment, and the method specifically comprises the following steps:
1. acquiring the occurrence frequency of a primary fault of the power equipment;
2. acquiring the importance level of the power equipment, wherein the more important the power equipment is, the higher the importance level of the power equipment is, and the importance level of the power equipment is given to expert evaluation;
3. multiplying the primary failure times of the power equipment by the importance level to obtain a maintenance score of the power equipment;
4. sequencing the corresponding power equipment according to the sequence of the maintenance scores from high to low;
5. and maintaining the power equipment according to the maintenance sequence of the power equipment.
When the fault level is a secondary fault, the fact that the power consumption data of the current equipment exceeds the maximum power consumption can be judged, the power equipment has the possibility of large faults, workers need to be informed timely at the moment, the workers can check second fault alarm information, the second fault alarm information comprises position information, equipment numbers and specific fault information of the power equipment with faults, and the specific fault information can be an equipment power consumption data curve of the power equipment, so that the faults of the power equipment can be processed timely, the fault state running time of the power equipment is reduced, and the safe and stable running of the power equipment is guaranteed.
According to the embodiment, through fault classification of the power equipment, the working personnel can more accurately acquire the fault information of the power equipment, and corresponding maintenance measures are taken according to the fault classification, so that the working efficiency of the working personnel can be improved, the fault state operation time of the power equipment can be reduced, the safety and stable operation of the power equipment are ensured, and the service life of the power equipment is prolonged.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Example 2:
as shown in fig. 6, an embodiment of the present invention provides a substation equipment maintenance management device 100, configured to execute the method steps in the embodiment corresponding to fig. 1, where the method includes:
a current state information obtaining module 110, configured to obtain current state information of the power device;
a fault determining module 120, configured to determine whether a fault exists in the power device according to the current state information;
a fault level determination module 130, configured to determine a fault level of the electrical device according to current state information of the electrical device if the electrical device has a fault;
and the maintenance measure determining module 140 is configured to determine a corresponding maintenance measure according to the fault level of the power device.
As can be seen from the above embodiments, in the embodiments of the present invention, current state information of the power device is first acquired; then, determining whether the power equipment has faults or not according to the current state information; if the power equipment has faults, determining the fault level of the power equipment according to the current state information of the power equipment; and finally, determining corresponding maintenance measures according to the fault grade of the power equipment. According to the embodiment of the invention, the fault grade can be determined according to the current state information of the power equipment, and corresponding maintenance measures are given, so that the troubleshooting time of the power equipment fault is shortened, the maintenance efficiency of the power equipment fault is improved, and the safety and stable operation of the power equipment are ensured.
In an embodiment of the present invention, the current state information includes current device power consumption data, and the failure determining module 120 in fig. 6 further includes a structure for executing the method steps in the embodiment corresponding to fig. 2, which includes:
the predicted power consumption data acquisition unit is used for acquiring historical power consumption data of the electric power equipment and obtaining predicted power consumption data of the electric power equipment according to the historical power consumption data;
the power consumption difference value acquisition unit is used for subtracting the predicted power consumption data from the current equipment power consumption data to obtain a power consumption difference value;
and the fault determination unit is used for determining that the power equipment has a fault if the power consumption difference value is greater than a preset power consumption difference threshold value.
According to the embodiment, whether the power equipment has the fault or not is judged by comparing the current equipment power consumption data with the predicted power consumption data of the power equipment, and a warning can be given in time when the power equipment has the fault risk, so that a worker can timely know the fault condition of the power equipment, and therefore maintenance measures can be taken in time, the running time of the fault state of the power equipment is reduced, and the safe and stable operation of the power equipment is guaranteed.
In one embodiment of the present invention, the current state information includes a data acquisition time, and the predicted power consumption data acquisition unit further includes a structure for performing the method steps in the embodiment corresponding to fig. 3, which includes:
the time interval acquisition module is used for acquiring the data acquisition time of the current equipment power consumption data and determining the time interval to which the data acquisition time belongs;
the historical power consumption data acquisition module is used for extracting historical power consumption data corresponding to a time period from the historical power consumption record of the electrical equipment according to the time period to which the data acquisition time belongs;
the polynomial fitting curve acquisition module is used for performing curve fitting on the historical power consumption data to obtain a polynomial fitting curve of the historical power consumption data;
and the predicted power consumption data acquisition module is used for obtaining predicted power consumption data of the power equipment at the data acquisition time according to the polynomial fitting curve.
According to the embodiment, the predicted power consumption data of the power equipment is obtained through the polynomial fitting curve, so that the predicted power consumption data of the power equipment can be more accurate, and whether the power equipment has faults or not can be more accurately judged.
In one embodiment of the present invention, the fault levels include a primary fault and a secondary fault, and the fault level determination module 130 in fig. 6 further includes a structure for performing the method steps in the embodiment corresponding to fig. 4, which includes:
the primary fault determining module is used for judging the fault level of the power equipment as a primary fault when the power consumption difference value is larger than a first preset power consumption difference threshold value and smaller than a second preset power consumption difference threshold value;
and the secondary fault determining module is used for judging the fault level of the power equipment as a secondary fault when the power consumption difference value is larger than a second preset power consumption difference threshold value.
In one embodiment of the present invention, the maintenance measure determination module 140 in fig. 6 further includes structure for performing the method steps in the embodiment corresponding to fig. 5, which includes:
the first-level fault maintenance unit is used for marking the power equipment as key attention equipment if the fault level of the power equipment is a first-level fault, acquiring average power consumption data of the key attention equipment within a preset time period after data acquisition time, and generating and displaying first fault alarm information when the average power consumption data is larger than the current equipment power consumption data;
and the secondary fault maintenance unit is used for generating and displaying second fault alarm information if the fault grade of the power equipment is a secondary fault.
According to the embodiment, through fault classification of the power equipment, the working personnel can more accurately acquire the fault information of the power equipment, and corresponding maintenance measures are taken according to the fault classification, so that the working efficiency of the working personnel can be improved, the fault state operation time of the power equipment can be reduced, the safety and stable operation of the power equipment are ensured, and the service life of the power equipment is prolonged.
In one embodiment, the inspection device 100 of the production line equipment further includes other functional modules/units for implementing the method steps in the embodiments of embodiment 1.
Example 3:
fig. 7 is a schematic diagram of a server according to an embodiment of the present invention. As shown in fig. 7, the server 7 of this embodiment includes: a processor 70, a memory 71, and a computer program 72 stored in the memory 71 and executable on the processor 70. The processor 70, when executing the computer program 72, implements the steps in the various substation equipment maintenance management method embodiments described above, such as the steps 101 to 104 shown in fig. 1. Alternatively, the processor 70, when executing the computer program 72, implements the functions of the modules/units in the above-described device embodiments, such as the functions of the modules 110 to 140 shown in fig. 6.
Illustratively, the computer program 72 may be partitioned into one or more modules/units that are stored in the memory 71 and executed by the processor 70 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 72 in the server 7.
The server 7 may be a local server, a cloud server, or a terminal device. The server may include, but is not limited to, a processor 70, a memory 71. Those skilled in the art will appreciate that fig. 7 is merely an example of a server 7 and does not constitute a limitation of the server 7 and may include more or fewer components than shown, or some components in combination, or different components, e.g., the server may also include input output devices, network access devices, buses, etc.
The Processor 70 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 71 may be an internal storage unit of the server 7, such as a hard disk or a memory of the server 7. The memory 71 may also be an external storage device of the server 7, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the server 7. Further, the memory 71 may also include both an internal storage unit and an external storage device of the server 7. The memory 71 is used for storing the computer program and other programs and data required by the server. The memory 71 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (5)
1. A transformer substation equipment maintenance management method is characterized by comprising the following steps:
acquiring current state information of the power equipment;
determining whether the power equipment has a fault according to the current state information;
if the power equipment has faults, determining the fault level of the power equipment according to the current state information of the power equipment;
determining corresponding maintenance measures according to the fault grade of the power equipment;
the current state information includes current device power consumption data, and determining whether the power device has a fault according to the current state information includes:
acquiring historical power consumption data of the electrical equipment, and acquiring predicted power consumption data of the electrical equipment according to the historical power consumption data;
subtracting the predicted power consumption data from the current equipment power consumption data to obtain a power consumption difference value;
if the power consumption difference value is larger than a preset power consumption difference threshold value, judging that the power equipment has a fault;
the current state information includes data acquisition time, the historical power consumption data of the electrical equipment is acquired, and the predicted power consumption data of the electrical equipment is obtained according to the historical power consumption data, and the method further includes:
acquiring data acquisition time of the current equipment power consumption data, and determining a time period to which the data acquisition time belongs;
extracting historical power consumption data corresponding to the time period from historical power consumption records of the electrical equipment according to the time period to which the data acquisition time belongs;
performing curve fitting on the historical power consumption data to obtain a polynomial fitting curve of the historical power consumption data;
obtaining predicted power consumption data of the power equipment at the data acquisition time according to the polynomial fitting curve;
the fault level includes a primary fault and a secondary fault, and if the power equipment has a fault, determining the fault level of the power equipment according to the current state information of the power equipment, including:
when the power consumption difference value is larger than a first preset power consumption difference threshold value and smaller than a second preset power consumption difference threshold value, judging the fault level of the power equipment to be a first-level fault;
when the power consumption difference value is larger than a second preset power consumption difference threshold value, judging that the fault level of the power equipment is a secondary fault;
the method further comprises the following steps:
acquiring the frequency of primary faults of each power device and the corresponding importance level;
multiplying the number of times of the primary fault of the power equipment by the corresponding importance level to obtain the maintenance score of each power equipment;
and sequencing the power equipment according to the sequence of the maintenance scores from high to low to obtain the maintenance sequence of the power equipment, and maintaining the power equipment according to the maintenance sequence.
2. The substation equipment maintenance management method according to claim 1, wherein determining the corresponding maintenance measure according to the fault level of the power equipment comprises:
if the fault level of the electric power equipment is a first-level fault, marking the electric power equipment as a key attention equipment, acquiring average power consumption data of the key attention equipment in a preset time period after the data acquisition time, and generating and displaying first fault alarm information when the average power consumption data is larger than the current equipment power consumption data;
and if the fault grade of the power equipment is a secondary fault, generating and displaying second fault alarm information.
3. A substation equipment maintenance management device is characterized by comprising:
the current state information acquisition module is used for acquiring current state information of the power equipment;
the fault judgment module is used for determining whether the power equipment has faults or not according to the current state information;
the fault level determination module is used for determining the fault level of the power equipment according to the current state information of the power equipment if the power equipment has faults;
the maintenance measure determining module is used for determining corresponding maintenance measures according to the fault grade of the power equipment;
the current state information includes current device power consumption data, and the fault determination module includes:
the predicted power consumption data acquisition unit is used for acquiring historical power consumption data of the electric power equipment and obtaining the predicted power consumption data of the electric power equipment according to the historical power consumption data;
a power consumption difference value obtaining unit, configured to subtract the predicted power consumption data from the current device power consumption data to obtain a power consumption difference value;
the fault determination unit is used for determining that the power equipment has a fault if the power consumption difference value is larger than a preset power consumption difference threshold value;
the current state information includes data acquisition time, and the predicted power consumption data acquisition unit includes:
the time interval acquisition module is used for acquiring the data acquisition time of the current equipment power consumption data and determining the time interval to which the data acquisition time belongs;
the historical power consumption data acquisition module is used for extracting historical power consumption data corresponding to a time period from a historical power consumption record of the electrical equipment according to the time period to which the data acquisition time belongs;
the polynomial fitting curve acquisition module is used for performing curve fitting on the historical power consumption data to obtain a polynomial fitting curve of the historical power consumption data;
the predicted power consumption data acquisition module is used for obtaining predicted power consumption data of the power equipment at the data acquisition time according to the polynomial fitting curve;
the fault grade comprises a primary fault and a secondary fault, and the fault grade determination module comprises:
when the power consumption difference value is larger than a first preset power consumption difference threshold value and smaller than a second preset power consumption difference threshold value, judging the fault level of the power equipment to be a first-level fault;
when the power consumption difference value is larger than a second preset power consumption difference threshold value, judging that the fault level of the power equipment is a secondary fault;
the apparatus further comprises a maintenance order determination module comprising:
acquiring the frequency of primary faults of each power device and the corresponding importance level;
multiplying the number of times of the primary fault of the power equipment by the corresponding importance level to obtain the maintenance score of each power equipment;
and sequencing the power equipment according to the sequence of the maintenance scores from high to low to obtain the maintenance sequence of the power equipment, and maintaining the power equipment according to the maintenance sequence.
4. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 2 when executing the computer program.
5. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 2.
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| CN109847255B (en) * | 2019-01-29 | 2021-04-27 | 迅捷安消防及救援科技（深圳）有限公司 | Movable modular intelligent fire-fighting on-duty guarantee equipment and related products |
| CN111027800A (en) * | 2019-10-25 | 2020-04-17 | 南昌轨道交通集团有限公司 | Method and device for processing equipment inspection abnormal information and electronic equipment |
| CN111382786A (en) * | 2020-03-04 | 2020-07-07 | 中国工商银行股份有限公司 | Fault processing method and device for equipment, computer system and storage medium |
| CN112561094A (en) * | 2020-12-21 | 2021-03-26 | 交控科技股份有限公司 | Train stop fault analysis method and device and electronic equipment |
| CN113109659A (en) * | 2021-03-01 | 2021-07-13 | 国网山东省电力公司昌乐县供电公司 | Distribution automation monitoring system |
| CN113554264B (en) * | 2021-06-07 | 2023-11-17 | 华北电力科学研究院有限责任公司 | Alarm method and device for power generation equipment |
| CN113780596A (en) * | 2021-09-14 | 2021-12-10 | 广州汇通国信科技有限公司 | Power station intelligent operation and maintenance method and system based on big data |
| CN113848430A (en) * | 2021-10-20 | 2021-12-28 | 广东电网有限责任公司广州供电局 | Electric energy fault monitoring method and device |
| CN115719168B (en) * | 2023-01-10 | 2023-04-11 | 佰聆数据股份有限公司 | Power generation equipment operation risk analysis method and device based on multi-power terminal cooperation |
| CN116316449B (en) * | 2023-03-23 | 2024-01-05 | 重庆市敏城电子有限公司 | Fault regulation and control method and device based on network filter and electronic equipment |
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| CN101819606A (en) * | 2010-01-27 | 2010-09-01 | 中国电力科学研究院 | Modeling method for common static load component models for power system simulation |
| CN102707178B (en) * | 2012-06-15 | 2014-03-12 | 中国电力科学研究院 | Method for prewarning and monitoring failures of secondary equipment of power system |
| CN106251246A (en) * | 2016-08-18 | 2016-12-21 | 张培 | A kind of converting station electric power equipment management system |
| CN107818369A (en) * | 2017-09-13 | 2018-03-20 | 国家电网公司 | Transformer fault handling method and terminal device |
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