CN117805549A - Fault reminding method, device, equipment and medium for power grid line - Google Patents

Fault reminding method, device, equipment and medium for power grid line Download PDF

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CN117805549A
CN117805549A CN202311689805.7A CN202311689805A CN117805549A CN 117805549 A CN117805549 A CN 117805549A CN 202311689805 A CN202311689805 A CN 202311689805A CN 117805549 A CN117805549 A CN 117805549A
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fault
power grid
grid line
target
value
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简洲
冯涛
李丽
曾若琛
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Hunan Disaster Prevention Technology Co ltd
State Grid Corp of China SGCC
State Grid Hunan Electric Power Co Ltd
Disaster Prevention and Mitigation Center of State Grid Hunan Electric Power Co Ltd
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Hunan Disaster Prevention Technology Co ltd
State Grid Corp of China SGCC
State Grid Hunan Electric Power Co Ltd
Disaster Prevention and Mitigation Center of State Grid Hunan Electric Power Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
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    • G06F18/2431Multiple classes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/081Locating faults in cables, transmission lines, or networks according to type of conductors
    • G01R31/085Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution lines, e.g. overhead
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/081Locating faults in cables, transmission lines, or networks according to type of conductors
    • G01R31/086Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08Locating faults in cables, transmission lines, or networks
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    • G06COMPUTING; CALCULATING OR COUNTING
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Abstract

The embodiment of the disclosure relates to a fault reminding method, device, equipment and medium for a power grid line, wherein the method comprises the following steps: obtaining target fault parameter values of various faults corresponding to each power grid line; determining fault risk itemizing index values corresponding to various faults of each power grid line according to target fault parameter values corresponding to various faults; acquiring a target fault risk index value of each power grid line according to all fault risk index values corresponding to each power grid line; and determining a target power grid line meeting a preset reminding condition in the plurality of power grid lines according to the target fault risk index value, and carrying out fault reminding processing on the target power grid line. In the technical scheme, the fault reminding can be carried out on the power grid line in time, and the safety of the power grid line is ensured.

Description

Fault reminding method, device, equipment and medium for power grid line
Technical Field
The disclosure relates to the technical field of computer application, and in particular relates to a method, a device, equipment and a medium for reminding a fault of a power grid line.
Background
The safety of the power grid line has important significance for daily production and life of people, wherein some natural disasters such as snow storm disasters are one of main external environment factors causing winter faults of the power grid, wherein the main reasons for the power grid faults are that the snow storm crushes trees near the line, the trees lodge on the line to cause faults such as alternate short circuit, line disconnection, tower collapse and the like, and the power supply safety of the power grid in winter is seriously affected.
In the related art, depending on the safety of manually checking the power grid line, the power grid line with high fault risk is difficult to find in time.
Disclosure of Invention
In order to solve the technical problems or at least partially solve the technical problems, the disclosure provides a method, a device, equipment and a medium for reminding a fault of a power grid line, which can timely remind the fault of the power grid line and ensure the safety of the power grid line.
The embodiment of the disclosure provides a fault reminding method for a power grid line, which comprises the following steps: obtaining target fault parameter values of various faults corresponding to each power grid line; determining fault risk index values corresponding to the various faults of each power grid line according to target fault parameter values corresponding to the various faults; acquiring a target fault risk index value of each power grid line according to all fault risk sub-term index values corresponding to each power grid line; and determining a target power grid line meeting a preset reminding condition in the plurality of power grid lines according to the target fault risk index value, and carrying out fault reminding processing on the target power grid line.
The embodiment of the disclosure also provides a fault reminding device for the power grid line, which comprises: the first acquisition module is used for acquiring target fault parameter values of various faults corresponding to each power grid line; the determining module is used for determining fault risk item index values corresponding to the various faults of each power grid line according to the target fault parameter values corresponding to the various faults; the second acquisition module is used for acquiring the target fault risk index value of each power grid line according to all fault risk index values corresponding to each power grid line; and the reminding processing module is used for determining a target power grid line meeting preset reminding conditions in the plurality of power grid lines according to the target fault risk index value and carrying out fault reminding processing on the target power grid line.
The embodiment of the disclosure also provides an electronic device, which comprises: a processor; a memory for storing the processor-executable instructions; the processor is configured to read the executable instruction from the memory, and execute the instruction to implement the fault reminding method of the power grid line according to the embodiment of the disclosure.
The embodiment of the disclosure also provides a computer readable storage medium, wherein the storage medium stores a computer program, and the computer program is used for executing the fault reminding method of the power grid line provided by the embodiment of the disclosure.
Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages:
according to the fault reminding scheme of the power grid lines, target fault parameter values of various faults corresponding to each power grid line are obtained, fault risk itemized index values corresponding to various faults of each power grid line are determined according to the target fault parameter values corresponding to various faults, target fault risk index values of each power grid line are obtained according to all fault risk itemized index values corresponding to each power grid line, and then fault reminding processing is conducted on each power grid line according to the target fault risk index values. In the technical scheme, the fault reminding can be carried out on the power grid line in time, and the safety of the power grid line is ensured.
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The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.
Fig. 1 is a flow chart of a fault reminding method of a power grid line according to an embodiment of the disclosure;
fig. 2 is a schematic structural diagram of a fault reminding device for a power grid line according to an embodiment of the disclosure;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been shown in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
In order to solve the above-mentioned problems, the embodiments of the present disclosure provide a method for reminding a fault of a power grid line, where the method is mainly applied in a risk reminding scenario that a natural disaster such as a snow storm may cause a fault of the power grid line, and the method is described below with reference to specific embodiments.
Fig. 1 is a flow chart of a method for reminding a fault of a power grid line according to an embodiment of the present disclosure, where the method may be executed by a fault reminding device of the power grid line, and the device may be implemented by software and/or hardware, and may be generally integrated in an electronic device. As shown in fig. 1, the method includes:
and 101, obtaining target fault parameter values of various faults corresponding to each power grid line.
The various faults of each power grid line may be calibrated according to the scene requirement, for example, in a snowstorm reminding scene, the various faults may include a plurality of types of tower heights, average heights of preset obstacles (for example, may be trees) in a preset range near the power grid line, channel widths of the power grid line (i.e., 2 times of distances from the power grid line to the nearest trees and other preset obstacles), average altitudes in a preset distance range where the power grid line is located, average temperature predicted values in a preset time period (for example, 24-hour time period from the current time) and accumulated rainfall predicted values in a preset second time period (for example, 24-hour time period from the current time).
In one embodiment of the present disclosure, in order to facilitate the subsequent impact on the fault risk of each power grid line, the target fault parameter value normalizes the processed parameter value, where in different application scenarios, the normalization processing is different, and the following is illustrated by way of example:
in some possible implementations, initial fault parameter values of various faults corresponding to each power grid line are obtained, maximum initial fault parameter values and minimum initial fault parameter values of various faults corresponding to a plurality of power grid lines are determined, and target fault parameter values of various faults corresponding to each power grid line are obtained according to the initial fault parameter values, the maximum initial fault parameter values and the minimum initial fault parameter values of various faults corresponding to each power grid line.
In this embodiment, the initial fault parameter value of each type of fault corresponding to each power grid line and the first difference value of the minimum initial fault parameter value may be calculated, and the ratio of the initial fault parameter value of each type of fault corresponding to each power grid line and the corresponding first difference value is taken as the corresponding target fault parameter.
In this embodiment, the initial fault parameter value and the first difference value of the minimum initial fault parameter value of each type of fault corresponding to each power grid line may also be calculated, the second difference value of the maximum initial fault parameter value and the minimum initial fault parameter value of each type of fault corresponding to each power grid line may be calculated, and the target fault parameter value of each type of fault corresponding to each power grid line may be determined according to the first difference value and the second difference value of each type of fault corresponding to each power grid line.
In this embodiment, the difference ratio of the first difference and the second difference may be directly used as the target fault parameter value.
In this embodiment, a difference ratio of the first difference and the second difference may be further calculated, where when each fault is a preset first fault, the difference ratio is determined to be a target fault parameter value of the preset first fault of each power grid line, and when each fault is a preset second fault, a third difference of the preset value and the difference ratio is calculated, and the third difference is determined to be a target fault parameter value of the preset second fault of each power grid line.
Wherein the first type of faults and the second type of faults are calibrated according to specific scenes, for example, for the ith power grid line, the corresponding types of faults are the tower heights (marked as G) of the power grid line i (m) (i=1, 2, …, N), where N is the total number of the plurality of grid lines to be fault-handled), the average height of a preset obstacle (which may be a tree, for example) within a preset range around the ith grid line (denoted S) i (m) (i=1, 2, …, N)), the channel width of the ith grid line (i.e., 2 times the distance of the grid line from the nearest tree or other preset obstacle) (denoted as T i (m) (i=1, 2, …, N)), the average altitude of the ith grid line within a predetermined distance range (denoted as H) i (m) (i=1, 2, …, N)), the ith grid line is located at an average temperature prediction value (denoted W) within a first preset time period from the current time (e.g. 24 hours from the current time) i (m) (i=1, 2, …, N)), the ith grid line is located at a cumulative rainfall prediction (denoted as P) from the current second preset time period (e.g., 24 hours from the current time period) i (m)(i=1,2,…,N))。
Wherein the first type of fault comprises G i (m)、H i (m)、W i (m) and P i (m) the second type of faults includes S i (m)、T i (m)、H i (m) according to the normalization method of , G i (m) the corresponding target fault parameter value isS i (m) the corresponding target fault parameter value isT i (m) corresponding target fault parameter valuesH i (m) the corresponding target fault parameter value isW i (m) the corresponding target failure parameter value is +.>P i (m) the corresponding target fault parameter value is
And 102, determining fault risk itemizing index values corresponding to various faults of each power grid line according to target fault parameter values corresponding to various faults.
In one embodiment of the disclosure, in order to determine the possible fault risk of each type of fault to the grid line, a fault risk score index value corresponding to each type of fault of each grid line is determined according to a target fault parameter value corresponding to each type of fault.
In some possible embodiments, a product value of a target fault parameter value corresponding to each type of fault and a corresponding preset weight may be calculated, and the corresponding product value is used as a fault risk score index value.
In some possible embodiments, the target fault parameter values corresponding to the various faults may be calculated according to a preset calculation formula, so as to obtain fault risk score index values corresponding to the various faults of each power grid line.
In some possible implementations, the preset calculation formula is shown in the following formula (1):
wherein A is a fault risk index value corresponding to various faults, and B is a fault risk index value corresponding to various faults.
Continuing with the example of embodiment of the ith grid line above, G i (m) the corresponding failure risk score index value isS i (m) the corresponding failure risk score index value is +.>T i (m) corresponding failure risk score index value +.>H i (m) the corresponding failure risk score index value is +.>W i (m) the corresponding failure risk score index value is +.>P i (m) the corresponding failure risk score index value is
And step 103, obtaining a target fault risk index value of each power grid line according to all fault risk index values corresponding to each power grid line.
After all fault risk index values corresponding to each power grid line are obtained, the influences of various faults are comprehensively considered, and target fault risk index values of each power grid line are obtained according to all fault risk index values corresponding to each power grid line.
In some possible implementation manners, various fault risk index values can be classified according to scenes, wherein the classification manners of the various fault risk index values can be calibrated according to scene needs, and the fault influence dimensions of the same type of fault risk index values on the power grid line can be similar.
In this embodiment, the various fault risk index values are classified into a first class fault risk index value, a second class fault risk index value and a third class fault risk index value, the first class fault risk index value, the second class fault risk index value and the third class fault risk index value in all the fault risk index values corresponding to each grid line are determined, and under the condition that the first class fault risk index value is single and the second class fault risk index value and the third class fault risk index value are multiple, a first summation value of all the second class fault risk index values corresponding to each grid line and a second summation value of all the third class fault risk index values corresponding to each grid line are calculated, and product calculation is performed on the first class fault risk index value, the first summation value and the second summation value corresponding to each grid line to obtain a corresponding product value as a target fault risk index value of each grid line.
In this embodiment, the above-mentioned ith power grid line is further used for example, where the first type of fault risk score index value is γ i Alpha is an index value of a second type of fault risk sub-term i And beta i The third class of fault risk index value is theta i 、η i 、μ i Wherein, the calculation method according to the above embodiment may obtain the target failure risk index value of the ith power grid line as E i =γ iii )(θ iii )。
And 104, determining a target power grid line meeting a preset reminding condition in the plurality of power grid lines according to the target fault risk index value, and carrying out fault reminding processing on the target power grid line.
In one embodiment of the present disclosure, a target power grid line meeting a preset reminding condition in a plurality of power grid lines is determined according to a target fault risk index value, and because the target fault risk index value is obtained according to various fault parameters, the accuracy is stronger, in addition, the preset reminding conditions are different in different application scenarios, in some possible implementation manners, the plurality of power grid lines can be ordered according to the order of the target fault risk index value from high to low, and the power grid lines of the preset number before are determined in the ordering result to be the target power grid lines meeting the preset reminding conditions;
in some possible implementation manners, a fault risk index threshold may be set according to scene requirements, and it is determined that a power grid line corresponding to a target fault risk index greater than the fault risk index threshold is a target power grid line sufficient to preset reminding conditions. Further, after the target power grid line is determined, fault reminding processing is performed on the target power grid line, for example, risk reminding can be sent to a preset platform, so that deployment of disaster resistant equipment and the like can be performed in time before natural disasters such as the corresponding snow storm and the like come, and occurrence of fault risks and the like can be avoided.
In summary, according to the fault reminding method for the power grid lines provided by the embodiment of the disclosure, target fault parameter values of various faults corresponding to each power grid line are obtained, fault risk itemized index values corresponding to various faults of each power grid line are determined according to the target fault parameter values corresponding to various faults, target fault risk index values of each power grid line are obtained according to all fault risk itemized index values corresponding to each power grid line, and then fault reminding processing is carried out on each power grid line according to the target fault risk index values. In the technical scheme, the fault reminding can be carried out on the power grid line in time, and the safety of the power grid line is ensured.
In order to achieve the above embodiments, the present disclosure further provides a fault reminding device for a power grid line.
Fig. 2 is a schematic structural diagram of a fault reminding device for a power grid line according to an embodiment of the present disclosure, where the device may be implemented by software and/or hardware, and may be generally integrated in an electronic device to perform fault reminding for the power grid line. As shown in fig. 2, the apparatus includes: a first acquisition module 210, a determination module 220, a second acquisition module 230, and a reminder processing module 240, wherein,
a first obtaining module 210, configured to obtain target fault parameter values of various faults corresponding to each power grid line;
the determining module 220 is configured to determine a fault risk score index value corresponding to each fault of each power grid line according to the target fault parameter values corresponding to each fault;
a second obtaining module 230, configured to obtain a target fault risk indicator value of each power grid line according to all fault risk itemized indicator values corresponding to each power grid line;
the reminding processing module 240 is configured to determine a target power grid line that meets a preset reminding condition from the plurality of power grid lines according to the target fault risk index value, and perform fault reminding processing on the target power grid line.
The fault reminding device for the power grid line provided by the embodiment of the disclosure can execute the fault reminding method for the power grid line provided by any embodiment of the disclosure, has corresponding functional modules and beneficial effects of the execution method, and has similar implementation principles and is not repeated herein.
To achieve the above embodiments, the present disclosure also proposes a computer program product comprising a computer program/instruction which, when executed by a processor, implements the fault alerting method of the grid line in the above embodiments.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure.
Referring now in particular to fig. 3, a schematic diagram of an electronic device 300 suitable for use in implementing embodiments of the present disclosure is shown. The electronic device 300 in the embodiments of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 3 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.
As shown in fig. 3, the electronic device 300 may include a processor (e.g., a central processing unit, a graphics processor, etc.) 301 that may perform various suitable actions and processes in accordance with programs stored in a Read Only Memory (ROM) 302 or loaded from a memory 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic apparatus 300 are also stored. The processor 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
In general, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; a memory 308 including, for example, magnetic tape, hard disk, etc.; and communication means 309. The communication means 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. While fig. 3 shows an electronic device 300 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a non-transitory computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via a communication device 309, or from memory 308, or from ROM 302. When executed by the processor 301, performs the above-described functions defined in the power grid line fault alerting method of the embodiments of the present disclosure.
It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to:
obtaining target fault parameter values of various faults corresponding to each power grid line, determining fault risk index values corresponding to various faults of each power grid line according to the target fault parameter values corresponding to various faults, obtaining target fault risk index values of each power grid line according to all fault risk index values corresponding to each power grid line, and further carrying out fault reminding processing on each power grid line according to the target fault risk index values. In the technical scheme, the fault reminding can be carried out on the power grid line in time, and the safety of the power grid line is ensured.
The electronic device may write computer program code for performing the operations of the present disclosure in one or more programming languages, including, but not limited to, an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this disclosure is not limited to the specific combinations of features described above, but also covers other embodiments which may be formed by any combination of features described above or equivalents thereof without departing from the spirit of the disclosure. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).
Moreover, although operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are example forms of implementing the claims.

Claims (10)

1. The fault reminding method for the power grid line is characterized by comprising the following steps of:
obtaining target fault parameter values of various faults corresponding to each power grid line;
determining fault risk index values corresponding to the various faults of each power grid line according to target fault parameter values corresponding to the various faults;
acquiring a target fault risk index value of each power grid line according to all fault risk sub-term index values corresponding to each power grid line;
and determining a target power grid line meeting a preset reminding condition in the plurality of power grid lines according to the target fault risk index value, and carrying out fault reminding processing on the target power grid line.
2. The method of claim 1, wherein the obtaining the target fault parameter values of each type of fault corresponding to each power grid line comprises:
acquiring initial fault parameter values of various faults corresponding to each power grid line, and determining the maximum initial fault parameter values and the minimum initial fault parameter values of various faults corresponding to the power grid lines;
and obtaining target fault parameter values of various faults corresponding to each power grid line according to the initial fault parameter values, the maximum initial fault parameter values and the minimum initial fault parameter values of various faults corresponding to each power grid line.
3. The method as set forth in claim 2, wherein the obtaining the target fault parameter value of each type of fault corresponding to each power grid line according to the initial fault parameter value, the maximum initial fault parameter value, and the minimum initial fault parameter value of each type of fault corresponding to each power grid line includes:
calculating initial fault parameter values of various faults corresponding to each power grid line and a first difference value of the minimum initial fault parameter values;
calculating a second difference value of the maximum initial fault parameter value and the minimum initial fault parameter value of each type of fault corresponding to each power grid line;
and determining a target fault parameter value of each type of fault corresponding to each power grid line according to the first difference value and the second difference value of each type of fault corresponding to each power grid line.
4. A method according to claim 3, wherein determining the target fault parameter value for each type of fault corresponding to each grid line based on the first and second differences for each type of fault corresponding to each grid line comprises:
calculating a difference ratio of the first difference to the second difference;
when each type of faults is a preset first type of faults, determining that the difference value ratio is a target fault parameter value of the preset first type of faults of each power grid line;
and when each type of faults is a preset second type of faults, calculating a third difference value of a preset value and the difference value ratio, and determining that the third difference value is a target fault parameter value of the preset second type of faults of each power grid line.
5. The method as set forth in any one of claims 1 to 4, wherein the obtaining, according to the target fault parameter values corresponding to the types of faults, the fault risk score index value corresponding to the types of faults of each power grid line includes:
and calculating the target fault parameter values corresponding to the various faults according to a preset calculation formula to obtain fault risk item index values corresponding to the various faults of each power grid line.
6. The method of claim 5, wherein the predetermined calculation formula is:
wherein A is a fault risk item index value corresponding to the various faults, and B is a target fault parameter value corresponding to the various faults.
7. The method as set forth in any one of claims 1 to 4, wherein the obtaining the target fault risk indicator value of each power grid line according to all fault risk indicator values corresponding to each power grid line includes:
determining a first type of fault risk index value, a second type of fault risk index value and a third type of fault risk index value in all fault risk index values corresponding to each power grid line;
under the condition that the first type of fault risk index value is single and the second type of fault risk index value and the third type of fault risk index value are multiple, calculating a first summation value of all the second type of fault risk index values corresponding to each power grid line and a second summation value of all the third type of fault risk index values corresponding to each power grid line;
and performing product calculation on the first class fault risk index value, the first summation value and the second summation value corresponding to each power grid line to obtain a corresponding product value as a target fault risk index value of each power grid line.
8. A fault notification apparatus for a power grid line, comprising:
the first acquisition module is used for acquiring target fault parameter values of various faults corresponding to each power grid line;
the determining module is used for determining fault risk item index values corresponding to the various faults of each power grid line according to the target fault parameter values corresponding to the various faults;
the second acquisition module is used for acquiring the target fault risk index value of each power grid line according to all fault risk index values corresponding to each power grid line;
and the reminding processing module is used for determining a target power grid line meeting preset reminding conditions in the plurality of power grid lines according to the target fault risk index value and carrying out fault reminding processing on the target power grid line.
9. An electronic device, the electronic device comprising:
a processor;
a memory for storing the processor-executable instructions;
the processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the fault notification method of the power grid line according to any one of the preceding claims 1-7.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program for executing the fault alerting method of the grid line according to any one of the preceding claims 1-7.
CN202311689805.7A 2023-12-08 2023-12-08 Fault reminding method, device, equipment and medium for power grid line Pending CN117805549A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311689805.7A CN117805549A (en) 2023-12-08 2023-12-08 Fault reminding method, device, equipment and medium for power grid line

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311689805.7A CN117805549A (en) 2023-12-08 2023-12-08 Fault reminding method, device, equipment and medium for power grid line

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Publication Number Publication Date
CN117805549A true CN117805549A (en) 2024-04-02

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