Power distribution secondary equipment state evaluation method and device, electronic equipment and storage medium

By obtaining multiple index status quantities of power distribution secondary equipment and determining the judgment matrix and index weight, the problem of inaccurate status evaluation results of power distribution secondary equipment is solved, and a more accurate status evaluation is achieved.

CN119599510APending Publication Date: 2025-03-11GUANGDONG POWER GRID CO LTD +2
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Patent Information

Application Number
CN202411665480.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-20
Publication Date
2025-03-11

AI Technical Summary

Technical Problem

The status evaluation results of power distribution secondary equipment in the prior art are inaccurate.

Method used

By acquiring multiple index status quantities of the power distribution secondary equipment, a judgment matrix is ​​determined, and the index weights of each index status quantities are determined based on the judgment matrix, and the status evaluation result of the power distribution secondary equipment is determined.

Benefits of technology

Effectively improve the accuracy of the status evaluation results of the power distribution secondary equipment.

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Abstract

The invention discloses a power distribution secondary equipment state evaluation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a plurality of index state quantities of the power distribution secondary equipment; determining a judgment matrix based on the plurality of index state quantities of the power distribution secondary equipment, and determining an index weight of each index state quantity based on the judgment matrix; and determining a state evaluation result of the power distribution secondary equipment based on each index state quantity and the index weight of each index state quantity. According to the technical scheme, through a weight evaluation mode, the accuracy of the state evaluation result of the power distribution secondary equipment is effectively improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of power grid detection, and in particular to a method, device, electronic equipment and storage medium for evaluating the status of power distribution secondary equipment. Background Art

[0002] Power distribution secondary equipment is an important equipment in the distribution network automation system. How to effectively evaluate the status of power distribution secondary equipment is also an important project in the detection of distribution network automation system.

[0003] In the process of implementing the present invention, it is found that there are at least the following technical problems in the prior art: the above-mentioned prior art solution has the problem of inaccurate status evaluation results of power distribution secondary equipment. Summary of the invention

[0004] The present invention provides a method, a device, an electronic device and a storage medium for evaluating the status of a power distribution secondary device, so as to solve the problem of inaccurate evaluation results of the status of the power distribution secondary device.

[0005] According to one aspect of the present invention, a method for evaluating the status of a power distribution secondary device is provided, comprising:

[0006] Obtain multiple indicator status quantities of power distribution secondary equipment;

[0007] Determine a judgment matrix based on a plurality of indicator state quantities of the power distribution secondary equipment, and determine an indicator weight of each indicator state quantity based on the judgment matrix;

[0008] The status evaluation result of the power distribution secondary equipment is determined based on the status quantity of each indicator and the indicator weight of each indicator status quantity.

[0009] According to another aspect of the present invention, there is provided a device for evaluating the state of a power distribution secondary device, comprising:

[0010] A power distribution secondary equipment indicator state quantity acquisition module is used to obtain multiple indicator state quantities of power distribution secondary equipment;

[0011] An indicator weight determination module for indicator state quantities, used to determine a judgment matrix based on a plurality of indicator state quantities of the power distribution secondary equipment, and determine an indicator weight of each indicator state quantity based on the judgment matrix;

[0012] The power distribution secondary equipment status evaluation result determination module is used to determine the power distribution secondary equipment status evaluation result based on each indicator status quantity and the indicator weight of each indicator status quantity.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] at least one processor;

[0015] and a memory communicatively coupled to the at least one processor;

[0016] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for evaluating the state of secondary distribution equipment described in any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for evaluating the state of a power distribution secondary device described in any embodiment of the present invention when executed.

[0018] The technical solution of the embodiment of the present invention obtains multiple indicator status quantities of the power distribution secondary equipment, and then determines the judgment matrix according to the multiple indicator status quantities of the power distribution secondary equipment, and then determines the indicator weight of each indicator status quantity based on the judgment matrix, thereby determining the status evaluation result of the power distribution secondary equipment according to each indicator status quantity and the indicator weight of each indicator status quantity. The above technical solution effectively improves the accuracy of the status evaluation result of the power distribution secondary equipment through the weight evaluation method.

[0019] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 is a flow chart of a method for evaluating the status of a power distribution secondary device provided according to the first embodiment of the present invention;

[0022] Figure 2 is a flow chart of a method for evaluating the status of a power distribution secondary device provided according to Embodiment 2 of the present invention;

[0023] Figure 3 is a flow chart of a method for evaluating the status of a power distribution secondary device provided according to Embodiment 3 of the present invention;

[0024] Figure 4 is a flow chart of a method for evaluating the status of a power distribution secondary device provided according to a fourth embodiment of the present invention;

[0025] Figure 5 is a structural schematic diagram of a power distribution secondary equipment status assessment device provided according to Embodiment 5 of the present invention;

[0026] Figure 6 It is a structural schematic diagram of an electronic device for implementing the method for evaluating the state of power distribution secondary equipment according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The acquisition, storage, use, processing, etc. of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

[0029] Embodiment 1

[0030] Figure 1 This is a flow chart of a method for evaluating the status of a power distribution secondary device provided in the first embodiment of the present invention. This embodiment is applicable to the situation of evaluating the status of a power distribution secondary device. The method can be executed by a power distribution secondary device status evaluation device. The power distribution secondary device status evaluation device can be implemented in the form of hardware and / or software. The power distribution secondary device status evaluation device can be configured in a computer terminal. Figure 1 As shown, the method includes:

[0031] S110. Obtain multiple indicator status quantities of power distribution secondary equipment.

[0032] In the embodiment of the present invention, the power distribution secondary equipment refers to equipment that measures, controls, monitors and protects the primary equipment of the power system, and may include but is not limited to measuring instruments, relays, control switches, buttons and signal lights.

[0033] Among them, the multiple indicator status quantities of the power distribution secondary equipment include at least one indicator status quantity among the communication system status, the power distribution terminal and the secondary circuit status and the power distribution automation operation status; the communication system status includes at least one indicator status quantity among the maximum communication channel delay time, the minimum communication channel delay time, the terminal online rate, the number of communication interruptions, the maximum communication interruption time, the minimum communication interruption time, the average communication interruption time, the wireless module online rate and the number of wireless module interruptions; the power distribution terminal and the secondary circuit status include the operating environment, the self-test status and the power supply status, the operating environment includes the temperature and humidity, the self-test status includes the analog-to-digital conversion times, the return The number of line disconnections, the number of board operation abnormalities, the number of software operation abnormalities, the power supply status includes at least one indicator status quantity among the number of AC power failure states, the number of voltage mutations, the battery activation success rate, the battery power, and the battery service life; the distribution automation operation status includes at least one indicator status quantity among the telemetry qualification rate, the number of suspicious equipment telemetry, the number of frequent alarms, the remote control success rate, the remote control usage rate, the remote signaling accuracy rate, the terminal equipment defects, the fault startup accuracy rate and the fault self-healing success rate, and the terminal equipment defects include at least one indicator status quantity among the number of telemetry defects, the number of remote control defects, the number of remote signaling defects and the number of terminal defects.

[0034] Exemplarily, a plurality of indicator status quantities of the power distribution secondary equipment may be obtained through online or offline monitoring by the power distribution network monitoring equipment.

[0035] S120: Determine a judgment matrix based on a plurality of indicator state quantities of the power distribution secondary equipment, and determine an indicator weight of each indicator state quantity based on the judgment matrix.

[0036] In the embodiment of the present invention, multiple indicator state quantities of the power distribution secondary equipment can be analyzed by using the Analytic Hierarchy Process (AHP) to obtain a judgment matrix, and then the indicator weights of each indicator state quantity can be calculated by using the judgment matrix.

[0037] S130. Determine a status evaluation result of the power distribution secondary equipment based on each indicator status quantity and the indicator weight of each indicator status quantity.

[0038] In the embodiment of the present invention, the status evaluation result of the power distribution secondary equipment refers to the status score of the power distribution secondary equipment.

[0039] Exemplarily, a weighted sum is performed based on each indicator state quantity and the indicator weight of each indicator state quantity to obtain a distribution secondary equipment state assessment result.

[0040] In some embodiments, multiple indicator state quantities can constitute an indicator state quantity combination. When there are multiple indicator state quantity combinations, the results of the weighted summation between the indicator state quantities and the indicator weights corresponding to the indicator state quantities under each indicator state quantity combination are compared, and then the indicator state quantity combination corresponding to the largest weighted summation result is selected as the optimal situation for subsequent distribution secondary equipment detection and analysis.

[0041] The technical solution of the embodiment of the present invention obtains multiple indicator status quantities of the power distribution secondary equipment, and then determines the judgment matrix according to the multiple indicator status quantities of the power distribution secondary equipment, and then determines the indicator weight of each indicator status quantity based on the judgment matrix, thereby determining the status evaluation result of the power distribution secondary equipment according to each indicator status quantity and the indicator weight of each indicator status quantity. The above technical solution effectively improves the accuracy of the status evaluation result of the power distribution secondary equipment through the weight evaluation method.

[0042] Embodiment 2

[0043] Figure 2 A flow chart of a method for evaluating the status of a power distribution secondary device provided in Embodiment 2 of the present invention. The method of this embodiment can be combined with the various optional schemes in the method for evaluating the status of a power distribution secondary device provided in the above embodiments. The method for evaluating the status of a power distribution secondary device provided in this embodiment is further optimized. Optionally, the determination of a judgment matrix based on multiple indicator status quantities of the power distribution secondary device includes: comparing the multiple indicator status quantities of the power distribution secondary device in pairs to obtain a judgment matrix.

[0044] like Figure 2 As shown, the method includes:

[0045] S210. Obtain multiple indicator status quantities of power distribution secondary equipment.

[0046] S220, compare the multiple indicator status quantities of the power distribution secondary equipment in pairs to obtain a judgment matrix, and determine the indicator weight of each indicator status quantity based on the judgment matrix.

[0047] Specifically, the scale value corresponding to each pair of indicator state quantities compared two by two may be determined; and a judgment matrix may be constructed based on the scale value corresponding to each pair of indicator state quantities compared two by two.

[0048] The scale value refers to the ratio of the influence of any indicator state quantity to the influence of another indicator state quantity on the previous level.

[0049] Specifically, a ijIndicates the indicator state quantity U i and the indicator state quantity U j The ratio of the impact on the previous level, that is, the scale value. A={a ij}, where A represents the judgment matrix.

[0050] Exemplarily, multiple indicator state quantities (factors) of the power distribution secondary equipment may include the remaining capacity of the terminal backup power supply (u1), the voltage drop ratio of the terminal backup power supply (u2), the difference between the CPU temperature and the ambient temperature (u3), the qualified rate of the telemetry quality code (u4), the communication packet loss rate (u5), the terminal communication offline time ratio (u6), the remote control accuracy rate (u7) and the terminal and sensor serial port communication bit error rate (u8). Further, the scale value corresponding to each pair of indicator state quantities compared two by two can be determined according to the preset scale table, and then the judgment matrix is ​​constructed based on the scale value corresponding to each pair of indicator state quantities compared two by two, wherein the preset scale table is shown in Table 1 and the judgment matrix is ​​shown in Table 2.

[0051] Table 1

[0052]

[0053] Table 2

[0054] <![CDATA[u1]]> <![CDATA[u2]]> <![CDATA[u3]]> <![CDATA[u4]]> <![CDATA[u5]]> <![CDATA[u6]]> <![CDATA[u7]]> <![CDATA[u8]]> <![CDATA[u1]]> 1 1 / 3 1 / 5 3 2 5 6 3 <![CDATA[u2]]> 3 1 1 / 2 5 4 7 8 5 <![CDATA[u3]]> 5 2 1 7 6 8 9 7 <![CDATA[u4]]> 1 / 3 1 / 5 1 / 7 1 1 / 2 2 3 1 <![CDATA[u5]]> 1 / 2 1 / 4 1 / 6 2 1 2 3 2 <![CDATA[u6]]> 1 / 5 1 / 7 1 / 8 1 / 2 1 / 2 1 1 1 / 2 <![CDATA[u7]]> 1 / 6 1 / 8 1 / 9 1 / 3 1 / 3 1 1 1 / 2 <![CDATA[u8]]> 1 / 3 1 / 5 1 / 7 1 1 / 2 2 2 1

[0055] S230. Determine a status evaluation result of the power distribution secondary equipment based on each indicator status quantity and the indicator weight of each indicator status quantity.

[0056] The technical solution of the embodiment of the present invention compares multiple indicator status quantities of power distribution secondary equipment in pairs to obtain a judgment matrix, thereby realizing the importance judgment analysis of multiple indicator status quantities of power distribution secondary equipment.

[0057] Embodiment 3

[0058] Figure 3 A flow chart of a method for evaluating the status of power distribution secondary equipment provided in Embodiment 3 of the present invention, the method of this embodiment can be combined with the various optional schemes in the method for evaluating the status of power distribution secondary equipment provided in the above embodiments. The method for evaluating the status of power distribution secondary equipment provided in this embodiment is further optimized. Optionally, the indicator weights of each indicator state quantity are determined based on the judgment matrix, including: determining the product of all elements in each row of the judgment matrix; determining the nth root of the product of all elements in each row of the judgment matrix, where n represents the order of the judgment matrix; normalizing the nth root of the product of all elements in each row of the judgment matrix to obtain the indicator weights of each indicator state quantity, where each row in the judgment matrix corresponds to an indicator state quantity.

[0059] like Figure 3 As shown, the method includes:

[0060] S310. Obtain multiple indicator status quantities of power distribution secondary equipment.

[0061] S320. Determine a judgment matrix based on multiple indicator state quantities of the power distribution secondary equipment.

[0062] S330: Determine the product of all elements in each row of the judgment matrix.

[0063] Exemplarily, the calculation formula for determining the product of all elements in each row of the judgment matrix is ​​as follows:

[0064]

[0065] Where, i=1,2,3,...,n,j=1,2,3,...,n;M i Represents the product of all elements in the i-th row of the judgment matrix, a ij Represents the element in the i-th row and j-th column of the judgment matrix.

[0066] S340: Determine the nth root of the product of all elements in each row of the judgment matrix, where n represents the order of the judgment matrix.

[0067] Exemplarily, the calculation formula for determining the nth root of the product of all elements in each row of the judgment matrix is:

[0068]

[0069] in, Represents the nth root of the product of all elements in the i-th row of the judgment matrix.

[0070] S350, normalizing the nth root of the product of all elements in each row of the judgment matrix to obtain the indicator weight of each indicator state quantity, wherein each row in the judgment matrix corresponds to an indicator state quantity.

[0071] Among them, the formula for determining the indicator weight of each indicator state quantity includes:

[0072]

[0073] Among them, W i represents the indicator weight of the i-th indicator state quantity, Represents the nth root of the product of all elements in the i-th row of the judgment matrix.

[0074] S360. Determine the status evaluation result of the power distribution secondary equipment based on each indicator status quantity and the indicator weight of each indicator status quantity.

[0075] The technical solution of the embodiment of the present invention realizes the calculation of the indicator weights of various indicator status quantities, and provides a basis for the subsequent calculation of the status evaluation results of the power distribution secondary equipment.

[0076] Embodiment 4

[0077] Figure 4 A flow chart of a distribution secondary equipment status assessment method provided for the fourth embodiment of the present invention, the method of this embodiment can be combined with the various optional schemes in the distribution secondary equipment status assessment method provided in the above embodiments. The distribution secondary equipment status assessment method provided in this embodiment has been further optimized. Optionally, before the distribution secondary equipment status assessment result is determined based on each indicator state quantity and the indicator weight of each indicator state quantity, it also includes: determining the maximum eigenvalue of the judgment matrix, and determining the initial consistency index according to the maximum eigenvalue; determining the average random consistency index, and determining the consistency ratio according to the initial consistency index and the average random consistency index; accordingly, the distribution secondary equipment status assessment result is determined based on each indicator state quantity and the indicator weight of each indicator state quantity, including: when the consistency ratio is less than the preset ratio threshold, the distribution secondary equipment status assessment result is determined based on each indicator state quantity and the indicator weight of each indicator state quantity.

[0078] like Figure 4 As shown, the method includes:

[0079] S410. Obtain multiple indicator status quantities of power distribution secondary equipment.

[0080] S420: Determine a judgment matrix based on multiple indicator state quantities of the power distribution secondary equipment, and determine an indicator weight of each indicator state quantity based on the judgment matrix.

[0081] S430: Determine the maximum eigenvalue of the judgment matrix, and determine an initial consistency index according to the maximum eigenvalue.

[0082] In the embodiment of the present invention, the calculation formula of the maximum eigenvalue is as follows:

[0083]

[0084] (A.W) i =a i1 W1+a i2 W2+…+a in W n ;

[0085]

[0086] Among them, A represents the judgment matrix, W represents the indicator weight, a nnRepresents the element in the nth row and nth column of the judgment matrix, W n represents the indicator weight of the nth indicator state quantity, λ max represents the maximum eigenvalue.

[0087] In the embodiment of the present invention, the calculation formula of the initial consistency index is as follows:

[0088] C I =(λ max -n) / (n-1);

[0089] Among them, C I represents the initial consistency index, and n represents the order of the judgment matrix.

[0090] S440: Determine an average random consistency index, and determine a consistency ratio according to the initial consistency index and the average random consistency index.

[0091] Among them, the average random consistency index can be as follows:

[0092] Order n 1 2 3 4 5 6 7 8 <![CDATA[R i ]]> 0 0 0.58 0.90 1.12 1.24 1.32 1.41

[0093] Among them, R i represents the average random consistency index.

[0094] In the embodiment of the present invention, the calculation formula of the consistency ratio is as follows:

[0095] C R =C I / R i ;

[0096] Among them, C R Represents the consistency ratio.

[0097] S450: When the consistency ratio is less than a preset ratio threshold, determine a distribution secondary equipment status evaluation result based on each indicator status quantity and an indicator weight of each indicator status quantity.

[0098] Exemplarily, if the consistency ratio is less than the preset ratio threshold, the distribution secondary equipment status evaluation result is determined based on each indicator state quantity and the indicator weight of each indicator state quantity. If the consistency ratio is not less than the preset ratio threshold, the judgment matrix is ​​adjusted until the consistency ratio is less than the preset ratio threshold.

[0099] The technical solution of the embodiment of the present invention can improve the accuracy of the status evaluation results of the power distribution secondary equipment by performing consistency check on the judgment matrix, and avoid status evaluation deviation caused by consistency problems.

[0100] Embodiment 5

[0101] Figure 5 This is a schematic diagram of the structure of a power distribution secondary equipment status assessment device provided in Embodiment 5 of the present invention. Figure 5 As shown, the device comprises:

[0102] A power distribution secondary equipment indicator state quantity acquisition module 510 is used to acquire multiple indicator state quantities of power distribution secondary equipment;

[0103] An indicator weight determination module 520 for indicator status quantities is used to determine a judgment matrix based on a plurality of indicator status quantities of the power distribution secondary equipment, and to determine an indicator weight of each indicator status quantity based on the judgment matrix;

[0104] The power distribution secondary equipment state evaluation result determination module 530 is used to determine the power distribution secondary equipment state evaluation result based on each indicator state quantity and the indicator weight of each indicator state quantity.

[0105] The technical solution of the embodiment of the present invention obtains multiple indicator status quantities of the power distribution secondary equipment, and then determines the judgment matrix according to the multiple indicator status quantities of the power distribution secondary equipment, and then determines the indicator weight of each indicator status quantity based on the judgment matrix, thereby determining the status evaluation result of the power distribution secondary equipment according to each indicator status quantity and the indicator weight of each indicator status quantity. The above technical solution effectively improves the accuracy of the status evaluation result of the power distribution secondary equipment through the weight evaluation method.

[0106] In some optional embodiments, the multiple indicator status quantities of the power distribution secondary equipment include at least one indicator status quantity of the communication system status, the power distribution terminal and secondary circuit status, and the power distribution automation operation status;

[0107] The communication system status includes at least one indicator status quantity selected from the group consisting of maximum communication channel delay time, minimum communication channel delay time, terminal online rate, number of communication interruptions, maximum communication interruption time, minimum communication interruption time, average communication interruption time, wireless module online rate, and number of wireless module interruptions;

[0108] The distribution terminal and secondary circuit status include operating environment, self-test status and power supply status. The operating environment includes temperature and humidity. The self-test status includes analog-to-digital conversion times, circuit disconnection times, board operation abnormality times, software operation abnormality times. The power supply status includes at least one indicator status quantity among AC power failure times, voltage mutation times, battery activation success rate, battery power, and battery service life.

[0109] The distribution automation operation status includes at least one indicator status quantity among the telemetry qualification rate, the number of suspicious telemetry times of equipment, the number of frequent alarms, the remote control success rate, the remote control usage rate, the remote signal accuracy rate, the terminal equipment defects, the fault start-up accuracy rate and the fault self-healing success rate; the terminal equipment defects include at least one indicator status quantity among the number of telemetry defects, the number of remote control defects, the number of remote signal defects and the number of terminal defects.

[0110] In some optional implementations, the indicator weight determination module 520 of the indicator state quantity includes:

[0111] The judgment matrix determination unit is used to compare the multiple indicator state quantities of the power distribution secondary equipment in pairs to obtain a judgment matrix.

[0112] In some optional implementations, the judgment matrix determination unit may be specifically used to:

[0113] Determine the scale value corresponding to each pair of indicator state quantities compared with each other;

[0114] A judgment matrix is ​​constructed based on the scale values ​​corresponding to each pair of indicator state quantities compared two by two.

[0115] In some optional implementations, the indicator weight determination module 520 of the indicator state quantity includes:

[0116] The indicator weight determination unit is used to determine the product of all elements in each row of the judgment matrix; determine the nth root of the product of all elements in each row of the judgment matrix, where n represents the order of the judgment matrix; normalize the nth root of the product of all elements in each row of the judgment matrix to obtain the indicator weight of each indicator state quantity, where each row in the judgment matrix corresponds to an indicator state quantity.

[0117] In some optional implementations, the formula for determining the indicator weight of each indicator state quantity includes:

[0118]

[0119] Among them, W i represents the indicator weight of the i-th indicator state quantity, It represents the nth root of the product of all elements in each i-row of the judgment matrix.

[0120] In some optional implementations, the power distribution secondary equipment status assessment device further includes:

[0121] Determine the maximum eigenvalue of the judgment matrix, and determine an initial consistency index according to the maximum eigenvalue;

[0122] Determining an average random consistency index, and determining a consistency ratio according to the initial consistency index and the average random consistency index;

[0123] Accordingly, the power distribution secondary equipment status evaluation result determination module 530 is used to:

[0124] When the consistency ratio is less than the preset ratio threshold, the distribution secondary equipment status evaluation result is determined based on each indicator status quantity and the indicator weight of each indicator status quantity.

[0125] The power distribution secondary equipment status assessment device provided in the embodiment of the present invention can execute the power distribution secondary equipment status assessment method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0126] Embodiment 6

[0127] Figure 6 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0128] like Figure 6 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The I / O interface 15 is also connected to the bus 14.

[0129] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0130] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 11 executes the various methods and processes described above, such as a method for evaluating the state of a power distribution secondary device, which includes:

[0131] Obtain multiple indicator status quantities of power distribution secondary equipment;

[0132] Determine a judgment matrix based on a plurality of indicator state quantities of the power distribution secondary equipment, and determine an indicator weight of each indicator state quantity based on the judgment matrix;

[0133] The status evaluation result of the power distribution secondary equipment is determined based on the status quantity of each indicator and the indicator weight of each indicator status quantity.

[0134] In some embodiments, the power distribution secondary equipment state assessment method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the power distribution secondary equipment state assessment method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the power distribution secondary equipment state assessment method in any other appropriate manner (e.g., by means of firmware).

[0135] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0136] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0137] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0138] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0139] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by 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), a blockchain network, and the Internet.

[0140] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0141] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0142] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for evaluating the status of power distribution secondary equipment, characterized in that: include: Obtain multiple indicator status quantities of power distribution secondary equipment; Determine a judgment matrix based on a plurality of indicator state quantities of the power distribution secondary equipment, and determine an indicator weight of each indicator state quantity based on the judgment matrix; The status evaluation result of the power distribution secondary equipment is determined based on the status quantity of each indicator and the indicator weight of each indicator status quantity.

2. The method according to claim 1, characterized in that The multiple indicator status quantities of the power distribution secondary equipment include at least one indicator status quantity of the communication system status, the power distribution terminal and secondary circuit status, and the power distribution automation operation status; The communication system status includes at least one indicator status quantity selected from the group consisting of maximum communication channel delay time, minimum communication channel delay time, terminal online rate, number of communication interruptions, maximum communication interruption time, minimum communication interruption time, average communication interruption time, wireless module online rate, and number of wireless module interruptions; The distribution terminal and secondary circuit status include operating environment, self-test status and power supply status. The operating environment includes temperature and humidity. The self-test status includes analog-to-digital conversion times, circuit disconnection times, board operation abnormality times, software operation abnormality times. The power supply status includes at least one indicator status quantity among AC power failure times, voltage mutation times, battery activation success rate, battery power, and battery service life. The distribution automation operation status includes at least one indicator status quantity among the telemetry qualification rate, the number of suspicious telemetry times of equipment, the number of frequent alarms, the remote control success rate, the remote control usage rate, the remote signal accuracy rate, the terminal equipment defects, the fault start-up accuracy rate and the fault self-healing success rate; the terminal equipment defects include at least one indicator status quantity among the number of telemetry defects, the number of remote control defects, the number of remote signal defects and the number of terminal defects.

3. The method according to claim 1, characterized in that The determining of the judgment matrix based on the multiple indicator state quantities of the power distribution secondary equipment includes: Multiple indicator state quantities of the power distribution secondary equipment are compared in pairs to obtain a judgment matrix.

4. The method according to claim 3, characterized in that The multiple indicator state quantities of the power distribution secondary equipment are compared in pairs to obtain a judgment matrix, including: Determine the scale value corresponding to each pair of indicator state quantities compared with each other; A judgment matrix is ​​constructed based on the scale values ​​corresponding to each pair of indicator state quantities compared two by two.

5. The method according to claim 1, characterized in that The determining the indicator weight of each indicator state quantity based on the judgment matrix includes: Determine the product of all elements in each row of the judgment matrix; Determine the nth root of the product of all elements in each row of the judgment matrix, where n represents the order of the judgment matrix; The nth root of the product of all elements in each row of the judgment matrix is ​​normalized to obtain the indicator weight of each indicator state quantity, wherein each row in the judgment matrix corresponds to an indicator state quantity.

6. The method according to claim 5, characterized in that The formula for determining the indicator weights of the various indicator status quantities includes: Among them, W i represents the indicator weight of the i-th indicator state quantity, It represents the nth root of the product of all elements in each i-row of the judgment matrix.

7. The method according to any one of claims 1 to 6, characterized in that: Before determining the status evaluation result of the power distribution secondary equipment based on each indicator status quantity and the indicator weight of each indicator status quantity, the method further includes: Determine the maximum eigenvalue of the judgment matrix, and determine an initial consistency index according to the maximum eigenvalue; Determining an average random consistency index, and determining a consistency ratio according to the initial consistency index and the average random consistency index; Correspondingly, the method of determining the status evaluation result of the power distribution secondary equipment based on each indicator status quantity and the indicator weight of each indicator status quantity includes: When the consistency ratio is less than a preset ratio threshold, a state evaluation result of the power distribution secondary equipment is determined based on each indicator state quantity and an indicator weight of each indicator state quantity.

8. A device for evaluating the status of power distribution secondary equipment, characterized in that: include: A power distribution secondary equipment indicator state quantity acquisition module is used to obtain multiple indicator state quantities of power distribution secondary equipment; An indicator weight determination module for indicator state quantities, used to determine a judgment matrix based on a plurality of indicator state quantities of the power distribution secondary equipment, and determine an indicator weight of each indicator state quantity based on the judgment matrix; The power distribution secondary equipment status evaluation result determination module is used to determine the power distribution secondary equipment status evaluation result based on each indicator status quantity and the indicator weight of each indicator status quantity.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for evaluating the state of power distribution secondary equipment according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the power distribution secondary equipment status assessment method according to any one of claims 1 to 7 when executed.