Abnormal signal processing method and device, equipment, storage medium and program product

Abstract

The invention relates to an abnormal signal processing method and device, equipment, a storage medium and a program product. The abnormal signal processing method comprises the following steps: acquiring an abnormal signal of the distribution network equipment and an abnormal frequency of the abnormal signal; determining an abnormal line corresponding to the distribution network equipment according to the abnormal signal; determining the number of service objects corresponding to the abnormal line and the types of different service objects; determining priority data of the abnormal signal according to the number of service objects corresponding to the abnormal signal, the types of different service objects and the abnormal frequency of the abnormal signal; and based on the priority data of the different abnormal signals, determining the maintenance sequence of the corresponding abnormal lines. Through the above steps, the determination of the maintenance sequence is more flexible, the maintenance delay or resource waste caused by subjective judgment errors is reduced, and the overall stability of the distribution network is improved.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to an abnormal signal processing method, device, equipment, storage medium and program product. Background Art

[0002] With the rapid development of the electric power industry and the increasing requirements for power quality, distribution network automation technology has emerged and has gradually developed into an important means to improve the operating efficiency and management level of distribution networks.

[0003] In traditional technology, abnormal signals of distribution network equipment are collected and processed according to the order in which the abnormal signals are generated or based on operation and maintenance experience. Although this method can handle abnormalities in an orderly manner, it lacks flexibility and pertinence in resource allocation, affecting the overall stable operation of the distribution network. Summary of the invention

[0004] Based on this, it is necessary to provide an abnormal signal processing method, device, equipment, storage medium and program product that can optimize resource allocation in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for processing an abnormal signal, comprising:

[0006] Obtain abnormal signals and abnormal frequencies of abnormal signals from distribution network equipment;

[0007] According to the abnormal signal, determine the abnormal line corresponding to the distribution network equipment;

[0008] Determine the number of service objects corresponding to the abnormal lines and the types of different service objects;

[0009] Determine the priority data of the abnormal signal according to the number of service objects corresponding to the abnormal signal, the types of different service objects and the abnormal frequency of the abnormal signal;

[0010] Based on the priority data of different abnormal signals, the maintenance order of the corresponding abnormal lines is determined.

[0011] In one of the embodiments, the type of service object includes a common type; the priority data of the abnormal signal is determined according to the number of service objects corresponding to the abnormal signal, the types of different service objects, and the abnormal frequency of the abnormal signal, including: when there is a common type in the type of service objects corresponding to the abnormal signal, determining that the priority reference data of the abnormal signal includes a first priority; when the number of service objects corresponding to the abnormal signal is greater than a quantity threshold, determining that the priority reference data of the abnormal signal includes a second priority; when the abnormal frequency corresponding to the abnormal signal is greater than a frequency threshold, determining that the priority reference data of the abnormal signal includes a third priority; and determining the priority data of the abnormal signal according to the priority reference data of the abnormal signal.

[0012] In one of the embodiments, priority data of the abnormal signal is determined according to the number of service objects corresponding to the abnormal signal, the types of different service objects, and the abnormal frequency of the abnormal signal, including: determining an abnormal number score corresponding to the abnormal signal according to the number of service objects corresponding to the abnormal signal; determining an abnormal importance score corresponding to the abnormal signal according to the types of different service objects corresponding to the abnormal signal; determining an abnormal frequency score corresponding to the abnormal signal according to the abnormal frequency corresponding to the abnormal signal; and determining the priority data of the abnormal signal according to at least one of the abnormal number score, the abnormal importance score, and the abnormal frequency score.

[0013] In one of the embodiments, based on the priority data of different abnormal signals, the maintenance order of the corresponding abnormal lines is determined, including: determining the abnormal signals to be sorted with the same priority data from the different abnormal signals; obtaining the historical maintenance time of the different abnormal signals to be sorted; and determining the maintenance order of the abnormal lines corresponding to each abnormal signal to be sorted according to the historical maintenance time of each abnormal signal to be sorted.

[0014] In one of the embodiments, after determining the maintenance order of the corresponding abnormal lines based on the priority data of different abnormal signals, it also includes: for each abnormal signal, obtaining the position of the abnormal line to which the abnormal signal belongs and the historical maintenance data of the corresponding abnormal line; generating at least one maintenance task according to the position of the abnormal line to which each abnormal signal belongs and the historical maintenance data of the corresponding abnormal line; and allocating each maintenance task to at least one maintenance terminal.

[0015] In one of the embodiments, each maintenance task is assigned to at least one maintenance terminal, including: obtaining each abnormal signal with the highest priority as the priority data as the target abnormal signal; using the maintenance task including the abnormal line to which the target abnormal signal belongs as the maintenance task to be assigned; determining the candidate maintenance terminal to which the maintenance task is not currently assigned; for each candidate maintenance terminal, selecting the target maintenance terminal from the candidate maintenance terminals according to the target distance between each candidate maintenance terminal and the distribution network equipment corresponding to the target abnormal signal; and assigning the maintenance task to be assigned to the target maintenance terminal.

[0016] In a second aspect, the present application also provides an abnormal signal processing device, comprising:

[0017] A first acquisition module is used to acquire abnormal signals and abnormal frequencies of abnormal signals of distribution network equipment;

[0018] A first determination module, used to determine the abnormal line corresponding to the distribution network equipment according to the abnormal signal;

[0019] A second determination module is used to determine the number of service objects corresponding to the abnormal line and the types of different service objects;

[0020] A third determination module is used to determine the priority data of the abnormal signal according to the number of service objects corresponding to the abnormal signal, the types of different service objects and the abnormal frequency of the abnormal signal;

[0021] The fourth determination module is used to determine the maintenance sequence of the corresponding abnormal lines based on the priority data of different abnormal signals.

[0022] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0023] Obtain abnormal signals and abnormal frequencies of abnormal signals from distribution network equipment;

[0024] According to the abnormal signal, determine the abnormal line corresponding to the distribution network equipment;

[0025] Determine the number of service objects corresponding to the abnormal lines and the types of different service objects;

[0026] Determine the priority data of the abnormal signal according to the number of service objects corresponding to the abnormal signal, the types of different service objects and the abnormal frequency of the abnormal signal;

[0027] Based on the priority data of different abnormal signals, the maintenance order of the corresponding abnormal lines is determined.

[0028] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the following steps are implemented:

[0029] Obtain abnormal signals and abnormal frequencies of abnormal signals from distribution network equipment;

[0030] According to the abnormal signal, determine the abnormal line corresponding to the distribution network equipment;

[0031] Determine the number of service objects corresponding to the abnormal lines and the types of different service objects;

[0032] Determine the priority data of the abnormal signal according to the number of service objects corresponding to the abnormal signal, the types of different service objects and the abnormal frequency of the abnormal signal;

[0033] Based on the priority data of different abnormal signals, the maintenance order of the corresponding abnormal lines is determined.

[0034] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0035] Obtain abnormal signals and abnormal frequencies of abnormal signals from distribution network equipment;

[0036] According to the abnormal signal, determine the abnormal line corresponding to the distribution network equipment;

[0037] Determine the number of service objects corresponding to the abnormal lines and the types of different service objects;

[0038] Determine the priority data of the abnormal signal according to the number of service objects corresponding to the abnormal signal, the types of different service objects and the abnormal frequency of the abnormal signal;

[0039] Based on the priority data of different abnormal signals, the maintenance order of the corresponding abnormal lines is determined.

[0040] The above-mentioned abnormal signal processing method, device, equipment, medium and program product introduce the number of service objects corresponding to the abnormal line to quantify the impact range of the abnormal line; introduce different types of service objects to determine the importance of the abnormal line; and determine the abnormal frequency of the abnormal signal to identify frequently occurring problem points. On this basis, the priority data of the abnormal signal is determined according to the number of service objects corresponding to the abnormal signal, the types of different service objects and the abnormal frequency of the abnormal signal, so as to realize the comprehensive classification of the abnormal signal. The priority data obtained can provide more comprehensive and objective data support for operation and maintenance personnel. Based on the priority data of different abnormal signals, the maintenance order of the corresponding abnormal line is determined, which makes the determination of the maintenance order more flexible, reduces maintenance delays or resource waste caused by subjective judgment errors, and is conducive to improving the overall stability of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 A schematic diagram of a process of an abnormal signal processing method in one embodiment;

[0043] Figure 2 A flowchart of the steps of allocating maintenance tasks in one embodiment;

[0044] Figure 3 is a flow chart of an abnormal signal processing method in another embodiment;

[0045] Figure 4 is a structural block diagram of an abnormal signal processing device in an embodiment;

[0046] Figure 5FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0048] In one embodiment, Figure 1 As shown, an abnormal signal processing method is provided. This embodiment takes the method applied to a terminal as an example. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0049] S110: Acquire abnormal signals of distribution network equipment and abnormal frequencies of the abnormal signals.

[0050] Among them, the distribution network equipment is used for power transmission and distribution. In particular, the distribution network equipment is a medium-voltage distribution network equipment. Among them, the abnormal signal of the distribution network equipment can be collected by the distribution terminal. The distribution terminal is the distribution automation terminal, which is a general term for various monitoring and control units installed in the distribution network. Abnormal signal, that is, alarm signal. The abnormal type corresponding to the abnormal signal may include at least one of a control circuit break, a spring without energy storage, and a device failure. The present application does not impose any limitation on the abnormal type corresponding to the abnormal signal. Optionally, obtaining the abnormal signal of the distribution network equipment includes: obtaining the abnormal signal of the distribution network equipment collected by the distribution terminal through optical fiber or wireless transmission.

[0051] The abnormal frequency of the abnormal signal can be understood as the number of times a certain abnormal signal appears within a preset time period. The length of the preset time period can be set by technicians according to needs or experience, and this application does not impose any limitation on this.

[0052] S120. Determine the abnormal line corresponding to the distribution network device according to the abnormal signal.

[0053] In an optional embodiment, determining the abnormal line corresponding to the distribution network device according to the abnormal signal includes: obtaining the distribution network device information to which the abnormal signal belongs and the abnormal type corresponding to the abnormal signal; and determining the corresponding abnormal line according to the distribution network device information and the corresponding abnormal type.

[0054] Optionally, the corresponding network distribution device information and the abnormal line corresponding to the abnormal type can be determined according to the mapping relationship. Exemplarily, the mapping relationship can be a mapping relationship table. The mapping relationship table stores the abnormal line information corresponding to the network distribution device information under different abnormal types.

[0055] S130: Determine the number of service objects corresponding to the abnormal line and the types of different service objects.

[0056] The service object can be understood as the user group powered by the abnormal line. The types of user groups can include ordinary types and public types. Public type users can include at least one of public service entities such as hospitals, fire fighting and rescue. Ordinary type users can include at least one of residential users and commercial users. This application does not impose any restrictions on the types of service objects.

[0057] Optionally, the type of user group may also include a custom type. Users of the custom type may be marked and added in a custom form, so as to facilitate rapid adjustment according to actual conditions.

[0058] S140 , determining priority data of the abnormal signal according to the number of service objects corresponding to the abnormal signal, the types of different service objects, and the abnormal frequency of the abnormal signal.

[0059] The priority data is used to measure the priority level of processing the abnormal signal corresponding to the abnormal line or to characterize the importance of the abnormal signal corresponding to the abnormal line.

[0060] In an optional embodiment, the step of determining the priority data includes: when there is a common type in the service object type corresponding to the abnormal signal, determining that the priority reference data of the abnormal signal includes a first priority; when the number of service objects corresponding to the abnormal signal is greater than a quantity threshold, determining that the priority reference data of the abnormal signal includes a second priority; when the abnormal frequency corresponding to the abnormal signal is greater than a frequency threshold, determining that the priority reference data of the abnormal signal includes a third priority; and determining the priority data of the abnormal signal based on the priority reference data of the abnormal signal. In the above steps, by determining whether there is a common type of service object, and comparing the number of service objects and the abnormal frequency with the corresponding thresholds, the corresponding priority data can be quickly determined from three dimensions, which is conducive to improving calculation efficiency.

[0061] Exemplarily, determining the priority data of the abnormal signal according to the priority reference data of the abnormal signal includes: using the highest priority in the priority reference data as the priority data of the abnormal signal. The priorities in the priority reference data are, from high to low, first priority, second priority and third priority.

[0062] The quantity threshold can be set by the technician according to needs or experience, or determined through a large number of experiments, and this application does not make any limitation on this. In particular, the quantity threshold is 3,000 households. The frequency threshold can be set by the technician according to needs or experience, or determined through a large number of experiments, and this application does not make any limitation on this.

[0063] Exemplarily, the step of determining the priority data may also include: when there is no common type in the service object type corresponding to the abnormal signal, and the number of service objects corresponding to the abnormal signal is not greater than the number threshold, and the abnormal frequency corresponding to the abnormal signal is not greater than the frequency threshold, determining that the priority reference data of the abnormal signal includes a fourth priority.

[0064] Exemplarily, the priority data may also include comparison data of the corresponding priority type. The comparison data is used to determine the priority order of abnormal signals under the same priority type. The priority type includes at least one of the first priority, the second priority, and the third priority. The comparison data may include at least one of the number of service objects corresponding to the abnormal signal, the number of service objects under the common type, and the abnormal frequency.

[0065] For example, the number of common service objects in the first abnormal signal is 2, and the number of service objects of all types is 3100; the number of common service objects in the second abnormal signal is 5, and the number of service objects of all types is 3200. Taking the quantity threshold of 3000 as an example, the priority data corresponding to the first abnormal signal can be expressed as "first priority, 2"; the priority data corresponding to the second abnormal signal can be expressed as "first priority, 5". Although the first abnormal signal and the second abnormal signal belong to the same first priority, since the comparison data of the second abnormal signal is greater than the comparison data of the first abnormal signal, it can be comprehensively determined that the comprehensive priority of the second abnormal signal is greater than the comprehensive priority of the first abnormal signal.

[0066] In another optional embodiment, the step of determining the priority data includes: determining the abnormal number score corresponding to the abnormal signal according to the number of service objects corresponding to the abnormal signal; determining the abnormal importance score corresponding to the abnormal signal according to the type of different service objects corresponding to the abnormal signal; determining the abnormal frequency score corresponding to the abnormal signal according to the abnormal frequency corresponding to the abnormal signal; determining the priority data of the abnormal signal according to at least one of the abnormal number score, abnormal importance score and abnormal frequency score. In the above steps, the priority data of the abnormal signal is determined by the score of each dimension, which is convenient for adaptively adjusting the scoring strategy to adapt to different application scenarios. For example, the calculation coefficient of the corresponding dimension can be customized to determine the score of the corresponding dimension.

[0067] Exemplarily, the abnormal quantity score corresponding to the abnormal signal can be determined based on the number of service objects corresponding to the abnormal signal and the preset quantity coefficient. The abnormal importance score can be determined based on the number of service objects of the common type corresponding to the abnormal signal and the preset importance coefficient. The abnormal frequency score can be determined based on the abnormal frequency corresponding to the abnormal signal and the preset frequency coefficient. Among them, the preset importance coefficient, the preset quantity coefficient and the preset frequency coefficient can be set by the technician according to needs or experience, or determined through a large number of experiments, and this application does not make any limitation on this.

[0068] Exemplarily, at least one of the abnormal quantity score, the abnormal importance score, and the abnormal frequency score may be mathematically summed or weighted to obtain a comprehensive score, and the priority data may be determined based on the comprehensive score. In an optional embodiment, multiple score intervals may be preset, each score interval corresponding to a priority data. In another optional embodiment, the value of the comprehensive score may be used as the priority data.

[0069] S150. Determine a maintenance sequence of corresponding abnormal lines based on priority data of different abnormal signals.

[0070] In step S140, the priority data of the abnormal signal has been determined. On this basis, by comparing the priority orders corresponding to the priority data of different abnormal signals, the maintenance order of the corresponding abnormal line can be determined.

[0071] In one embodiment, abnormal signals of different operation and maintenance units and priority data of corresponding abnormal signals may also be counted and visualized.

[0072] In one embodiment, determining the maintenance order of the corresponding abnormal lines includes: determining the abnormal signals to be sorted with the same priority data from different abnormal signals; obtaining the historical maintenance time of the different abnormal signals to be sorted; and determining the maintenance order of the abnormal lines corresponding to each abnormal signal to be sorted according to the historical maintenance time of each abnormal signal to be sorted.

[0073] Optionally, according to the historical maintenance time of each abnormal signal to be sorted, determining the maintenance order of the abnormal lines corresponding to each abnormal signal to be sorted includes: for each abnormal signal to be sorted, according to the historical maintenance time of the abnormal signal to be sorted; determining the historical mean maintenance time of the abnormal signal to be sorted; arranging the historical mean maintenance time in ascending order as the maintenance order of the abnormal lines corresponding to each abnormal signal to be sorted. In the above steps, the maintenance order of the abnormal signals to be sorted with the same priority data is fully considered, and by obtaining the historical maintenance time of each abnormal signal to be sorted, the abnormal lines with shorter historical mean maintenance time are given priority, so that more human resources can jointly handle the abnormal lines with longer historical mean maintenance time.

[0074] In the embodiment of the present application, the number of service objects corresponding to the abnormal line is introduced to quantify the impact range of the abnormal signal; the types of different service objects are introduced to determine the importance of the abnormal signal; and the abnormal frequency of the abnormal signal is determined to identify frequently occurring problem points. On this basis, the priority data of the abnormal signal is determined according to the number of service objects corresponding to the abnormal signal, the types of different service objects, and the abnormal frequency of the abnormal signal, so as to realize the comprehensive classification of the abnormal signal. The priority data obtained can provide more comprehensive and objective data support for the operation and maintenance personnel. By determining the maintenance order of the corresponding abnormal line based on the priority data of different abnormal signals, the determination of the maintenance order is more flexible, reducing maintenance delays or waste of resources caused by subjective misjudgment, which is conducive to improving the overall stability of the distribution network.

[0075] Based on the technical solutions of the above embodiments, the present application also provides an optional embodiment, in which a step of allocating maintenance tasks is added.

[0076] See also Figure 2 The steps for allocating maintenance tasks shown include:

[0077] S210. For each abnormal signal, obtain the location of the abnormal line to which the abnormal signal belongs and historical maintenance data of the corresponding abnormal line.

[0078] The historical maintenance data can be understood as maintenance records related to line abnormalities or faults recorded in a preset historical period. For example, after the abnormal line is repaired, the maintenance record can be uploaded to the terminal and the historical maintenance data can be updated. The preset historical period can be set according to actual needs.

[0079] S220. Generate at least one maintenance task according to the location of the abnormal line to which each abnormal signal belongs and the historical maintenance data of the corresponding abnormal line.

[0080] Among them, the maintenance task can include the location of at least one abnormal line to which the abnormal signal belongs, as well as the historical maintenance data of the corresponding abnormal line, so that the operation and maintenance personnel can quickly locate the location of the abnormal line. At the same time, during the maintenance process, the historical maintenance data can also be referred to in order to find the abnormal problem point in time, which is conducive to improving maintenance efficiency.

[0081] S230. Allocate each maintenance task to at least one maintenance terminal.

[0082] The maintenance terminal is held by the operation and maintenance personnel, who can log in to the maintenance terminal to obtain the assigned maintenance tasks.

[0083] In an optional embodiment, allocating each maintenance task to at least one maintenance terminal includes: obtaining each abnormal signal with the highest priority as the target abnormal signal; using the maintenance task of the abnormal line to which the target abnormal signal belongs as the maintenance task to be allocated; determining the candidate maintenance terminal to which the maintenance task is not currently allocated; for each candidate maintenance terminal, selecting the target maintenance terminal from each candidate maintenance terminal according to the target distance between each candidate maintenance terminal and the distribution network device corresponding to the target abnormal signal; and allocating the maintenance task to be allocated to the target maintenance terminal. Optionally, selecting the target maintenance terminal from each candidate maintenance terminal includes: using the candidate maintenance terminal corresponding to the minimum target distance as the target maintenance terminal. In the above steps, by obtaining the target abnormal signal, the abnormal signal with the highest priority can be located. By selecting the target maintenance terminal, the candidate maintenance terminal closest to the abnormal signal can be located. By allocating the maintenance task to be allocated to the target maintenance terminal, it is ensured that the abnormal signal with the highest priority can be responded to by the best human resources, which is conducive to improving maintenance efficiency.

[0084] In an embodiment of the present application, by obtaining, for each abnormal signal, the position of the abnormal line to which the abnormal signal belongs and the historical maintenance data of the corresponding abnormal line, and generating at least one maintenance task based on the position of the abnormal line to which each abnormal signal belongs and the historical maintenance data of the corresponding abnormal line, operation and maintenance personnel can quickly locate the position of the abnormal line, and at the same time can refer to the historical maintenance data to find the abnormal problem point in time, thereby improving maintenance efficiency.

[0085] Based on the technical solutions of the above embodiments, the present application also provides an optional embodiment, in which another specific implementation method of abnormal signal processing is provided.

[0086] See also Figure 3 Another abnormal signal processing method shown includes:

[0087] S301. Acquire abnormal signals of distribution network equipment and abnormal frequencies of the abnormal signals.

[0088] S302: Determine the abnormal line corresponding to the distribution network device according to the abnormal signal.

[0089] S303: Determine the number of service objects corresponding to the abnormal line and the types of different service objects; the types of service objects include common types.

[0090] S304: When there is a common type in the service object type corresponding to the abnormal signal, determine that the priority reference data of the abnormal signal includes a first priority.

[0091] S305: When the number of service objects corresponding to the abnormal signal is greater than the number threshold, determine that the priority reference data of the abnormal signal includes a second priority.

[0092] S306: When the abnormal frequency corresponding to the abnormal signal is greater than the frequency threshold, determine that the priority reference data of the abnormal signal includes a third priority.

[0093] S307: Determine the priority data of the abnormal signal according to the priority reference data of the abnormal signal. Determine the maintenance order of the corresponding abnormal line based on the priority data of different abnormal signals.

[0094] S308. For each abnormal signal, obtain the location of the abnormal line to which the abnormal signal belongs and historical maintenance data of the corresponding abnormal line.

[0095] S309: Generate at least one maintenance task according to the location of the abnormal line to which each abnormal signal belongs and the historical maintenance data of the corresponding abnormal line.

[0096] S310. Allocate each maintenance task to at least one maintenance terminal.

[0097] The detailed technical contents of the above steps S301 - S310 have been recorded in the above embodiments and will not be repeated here.

[0098] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0099] Based on the same inventive concept, the embodiment of the present application also provides an abnormal signal processing device for implementing the abnormal signal processing method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more abnormal signal processing device embodiments provided below can refer to the limitations of the abnormal signal processing method above, and will not be repeated here.

[0100] In an exemplary embodiment, Figure 4As shown, an abnormal signal processing device is provided, including: an acquisition module 410, a first determination module 420, a second determination module 430, a third determination module 440 and a fourth determination module 450, wherein:

[0101] The first acquisition module 410 is used to acquire abnormal signals and abnormal frequencies of abnormal signals of distribution network equipment.

[0102] The first determining module 420 is used to determine the abnormal line corresponding to the distribution network device according to the abnormal signal.

[0103] The second determining module 430 is used to determine the number of service objects corresponding to the abnormal line and the types of different service objects.

[0104] The third determination module 440 is used to determine the priority data of the abnormal signal according to the number of service objects corresponding to the abnormal signal, the types of different service objects and the abnormal frequency of the abnormal signal.

[0105] The fourth determination module 450 is used to determine the maintenance sequence of the corresponding abnormal lines based on the priority data of different abnormal signals.

[0106] In one embodiment, the type of service object includes a common type, and the third determination module 440 includes: a first determination unit, used to determine that the priority reference data of the abnormal signal includes a first priority when there is a common type in the service object type corresponding to the abnormal signal; a second determination unit, used to determine that the priority reference data of the abnormal signal includes a second priority when the number of service objects corresponding to the abnormal signal is greater than a number threshold; a third determination unit, used to determine that the priority reference data of the abnormal signal includes a third priority when the abnormal frequency corresponding to the abnormal signal is greater than a frequency threshold; and a fourth determination unit, used to determine the priority data of the abnormal signal based on the priority reference data of the abnormal signal.

[0107] In one embodiment, the third determination module 440 includes: a fifth determination unit, which is used to determine the abnormal quantity score corresponding to the abnormal signal according to the number of service objects corresponding to the abnormal signal; a sixth determination unit, which is used to determine the abnormal importance score corresponding to the abnormal signal according to the types of different service objects corresponding to the abnormal signal; a seventh determination unit, which is used to determine the abnormal frequency score corresponding to the abnormal signal according to the abnormal frequency corresponding to the abnormal signal; and an eighth determination unit, which determines the priority data of the abnormal signal according to at least one of the abnormal quantity score, the abnormal importance score and the abnormal frequency score.

[0108] In one embodiment, the fourth determination module 450 includes: a ninth determination unit, used to determine the abnormal signals to be sorted with the same priority data from different abnormal signals; a first acquisition unit, used to acquire the historical maintenance time of different abnormal signals to be sorted; and a tenth determination unit, used to determine the maintenance order of the abnormal lines corresponding to each abnormal signal to be sorted according to the historical maintenance time of each abnormal signal to be sorted.

[0109] In one embodiment, the abnormal signal processing device also includes: a second acquisition module, used to obtain the position of the abnormal line to which the abnormal signal belongs and the historical maintenance data of the corresponding abnormal line for each abnormal signal; a generation module, used to generate at least one maintenance task according to the position of the abnormal line to which each abnormal signal belongs and the historical maintenance data of the corresponding abnormal line; and an allocation module, used to allocate each maintenance task to at least one maintenance terminal.

[0110] In one embodiment, the allocation module includes: a second acquisition unit, used to acquire each abnormal signal whose priority data is the highest priority, as a target abnormal signal; a processing unit, used to take the maintenance task of the abnormal line to which the target abnormal signal belongs as the maintenance task to be allocated; an eleventh determination unit, used to determine the candidate maintenance terminal to which the maintenance task is currently not allocated; a selection unit, used to select a target maintenance terminal from each candidate maintenance terminal according to the target distance between each candidate maintenance terminal and the distribution network equipment corresponding to the target abnormal signal; an allocation unit, used to allocate the maintenance task to be allocated to the target maintenance terminal.

[0111] Each module in the above abnormal signal processing device can be implemented in whole or in part by software, hardware and a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each module above.

[0112] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 5As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, an abnormal signal processing method is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0113] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0114] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0115] Obtain abnormal signals and abnormal frequencies of abnormal signals from distribution network equipment;

[0116] According to the abnormal signal, determine the abnormal line corresponding to the distribution network equipment;

[0117] Determine the number of service objects corresponding to the abnormal lines and the types of different service objects;

[0118] Determine the priority data of the abnormal signal according to the number of service objects corresponding to the abnormal signal, the types of different service objects and the abnormal frequency of the abnormal signal;

[0119] Based on the priority data of different abnormal signals, the maintenance order of the corresponding abnormal lines is determined.

[0120] In one embodiment, the type of service object includes a common type; when the processor executes the computer program, the following steps are also implemented: when there is a common type in the service object type corresponding to the abnormal signal, it is determined that the priority reference data of the abnormal signal includes a first priority; when the number of service objects corresponding to the abnormal signal is greater than a number threshold, it is determined that the priority reference data of the abnormal signal includes a second priority; when the abnormal frequency corresponding to the abnormal signal is greater than a frequency threshold, it is determined that the priority reference data of the abnormal signal includes a third priority; based on the priority reference data of the abnormal signal, the priority data of the abnormal signal is determined.

[0121] In one embodiment, when the processor executes the computer program, the following steps are also implemented: determining an abnormal quantity score corresponding to the abnormal signal according to the number of service objects corresponding to the abnormal signal; determining an abnormal importance score corresponding to the abnormal signal according to the types of different service objects corresponding to the abnormal signal; determining an abnormal frequency score corresponding to the abnormal signal according to the abnormal frequency corresponding to the abnormal signal; and determining priority data of the abnormal signal according to at least one of the abnormal quantity score, the abnormal importance score and the abnormal frequency score.

[0122] In one embodiment, when the processor executes the computer program, the following steps are also implemented: determining the abnormal signals to be sorted with the same priority data from different abnormal signals; obtaining the historical maintenance time of the different abnormal signals to be sorted; and determining the maintenance order of the abnormal lines corresponding to each abnormal signal to be sorted according to the historical maintenance time of each abnormal signal to be sorted.

[0123] In one embodiment, when the processor executes the computer program, the following steps are also implemented: for each abnormal signal, the position of the abnormal line to which the abnormal signal belongs and the historical maintenance data of the corresponding abnormal line are obtained; according to the position of the abnormal line to which each abnormal signal belongs and the historical maintenance data of the corresponding abnormal line, at least one maintenance task is generated; and each maintenance task is assigned to at least one maintenance terminal.

[0124] In one embodiment, when the processor executes the computer program, the following steps are also implemented: obtaining each abnormal signal whose priority data is the highest priority as a target abnormal signal; using the maintenance task including the abnormal line to which the target abnormal signal belongs as the maintenance task to be assigned; determining the candidate maintenance terminals to which the maintenance task is not currently assigned; for each candidate maintenance terminal, selecting a target maintenance terminal from each candidate maintenance terminal according to the target distance between each candidate maintenance terminal and the distribution network equipment corresponding to the target abnormal signal; and assigning the maintenance task to be assigned to the target maintenance terminal.

[0125] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0126] Obtain abnormal signals and abnormal frequencies of abnormal signals from distribution network equipment;

[0127] According to the abnormal signal, determine the abnormal line corresponding to the distribution network equipment;

[0128] Determine the number of service objects corresponding to the abnormal lines and the types of different service objects;

[0129] Determine the priority data of the abnormal signal according to the number of service objects corresponding to the abnormal signal, the types of different service objects and the abnormal frequency of the abnormal signal;

[0130] Based on the priority data of different abnormal signals, the maintenance order of the corresponding abnormal lines is determined.

[0131] In one embodiment, the type of service object includes a common type; when the computer program is executed by the processor, the following steps are also implemented: when there is a common type in the service object type corresponding to the abnormal signal, it is determined that the priority reference data of the abnormal signal includes a first priority; when the number of service objects corresponding to the abnormal signal is greater than a number threshold, it is determined that the priority reference data of the abnormal signal includes a second priority; when the abnormal frequency corresponding to the abnormal signal is greater than a frequency threshold, it is determined that the priority reference data of the abnormal signal includes a third priority; based on the priority reference data of the abnormal signal, the priority data of the abnormal signal is determined.

[0132] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: determining an abnormality quantity score corresponding to the abnormal signal according to the number of service objects corresponding to the abnormal signal; determining an abnormality importance score corresponding to the abnormal signal according to the types of different service objects corresponding to the abnormal signal; determining an abnormality frequency score corresponding to the abnormal signal according to the abnormal frequency corresponding to the abnormal signal; determining priority data of the abnormal signal according to at least one of the abnormality quantity score, the abnormality importance score and the abnormality frequency score.

[0133] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: determining abnormal signals to be sorted with the same priority data from different abnormal signals; obtaining historical maintenance time of different abnormal signals to be sorted; and determining the maintenance order of abnormal lines corresponding to each abnormal signal to be sorted according to the historical maintenance time of each abnormal signal to be sorted.

[0134] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: for each abnormal signal, the location of the abnormal line to which the abnormal signal belongs and the historical maintenance data of the corresponding abnormal line are obtained; according to the location of the abnormal line to which each abnormal signal belongs and the historical maintenance data of the corresponding abnormal line, at least one maintenance task is generated; and each maintenance task is assigned to at least one maintenance terminal.

[0135] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: obtaining each abnormal signal whose priority data is the highest priority as the target abnormal signal; using the maintenance task including the abnormal line to which the target abnormal signal belongs as the maintenance task to be assigned; determining the candidate maintenance terminals to which the maintenance task is not currently assigned; for each candidate maintenance terminal, selecting the target maintenance terminal from each candidate maintenance terminal according to the target distance between each candidate maintenance terminal and the distribution network equipment corresponding to the target abnormal signal; and assigning the maintenance task to be assigned to the target maintenance terminal.

[0136] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0137] Obtain abnormal signals and abnormal frequencies of abnormal signals from distribution network equipment;

[0138] According to the abnormal signal, determine the abnormal line corresponding to the distribution network equipment;

[0139] Determine the number of service objects corresponding to the abnormal lines and the types of different service objects;

[0140] Determine the priority data of the abnormal signal according to the number of service objects corresponding to the abnormal signal, the types of different service objects and the abnormal frequency of the abnormal signal;

[0141] Based on the priority data of different abnormal signals, the maintenance order of the corresponding abnormal lines is determined.

[0142] In one embodiment, the type of service object includes a common type; when the computer program is executed by the processor, the following steps are also implemented: when there is a common type in the service object type corresponding to the abnormal signal, it is determined that the priority reference data of the abnormal signal includes a first priority; when the number of service objects corresponding to the abnormal signal is greater than a number threshold, it is determined that the priority reference data of the abnormal signal includes a second priority; when the abnormal frequency corresponding to the abnormal signal is greater than a frequency threshold, it is determined that the priority reference data of the abnormal signal includes a third priority; based on the priority reference data of the abnormal signal, the priority data of the abnormal signal is determined.

[0143] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: determining an abnormality quantity score corresponding to the abnormal signal according to the number of service objects corresponding to the abnormal signal; determining an abnormality importance score corresponding to the abnormal signal according to the types of different service objects corresponding to the abnormal signal; determining an abnormality frequency score corresponding to the abnormal signal according to the abnormal frequency corresponding to the abnormal signal; determining priority data of the abnormal signal according to at least one of the abnormality quantity score, the abnormality importance score and the abnormality frequency score.

[0144] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: determining abnormal signals to be sorted with the same priority data from different abnormal signals; obtaining historical maintenance time of different abnormal signals to be sorted; and determining the maintenance order of abnormal lines corresponding to each abnormal signal to be sorted according to the historical maintenance time of each abnormal signal to be sorted.

[0145] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: for each abnormal signal, the location of the abnormal line to which the abnormal signal belongs and the historical maintenance data of the corresponding abnormal line are obtained; according to the location of the abnormal line to which each abnormal signal belongs and the historical maintenance data of the corresponding abnormal line, at least one maintenance task is generated; and each maintenance task is assigned to at least one maintenance terminal.

[0146] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: obtaining each abnormal signal whose priority data is the highest priority as the target abnormal signal; using the maintenance task including the abnormal line to which the target abnormal signal belongs as the maintenance task to be assigned; determining the candidate maintenance terminals to which the maintenance task is not currently assigned; for each candidate maintenance terminal, selecting the target maintenance terminal from each candidate maintenance terminal according to the target distance between each candidate maintenance terminal and the distribution network equipment corresponding to the target abnormal signal; and assigning the maintenance task to be assigned to the target maintenance terminal.

[0147] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0148] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0149] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for processing abnormal signals, characterized in that: include: Acquire an abnormal signal of a distribution network device and an abnormal frequency of the abnormal signal; Determine the abnormal line corresponding to the distribution network device according to the abnormal signal; Determine the number of service objects corresponding to the abnormal line and the types of different service objects; Determining priority data of the abnormal signal according to the number of service objects corresponding to the abnormal signal, the types of different service objects, and the abnormal frequency of the abnormal signal; Based on the priority data of different abnormal signals, the maintenance order of the corresponding abnormal lines is determined.

2. The method according to claim 1, characterized in that The type of the service object includes a common type; the priority data of the abnormal signal is determined according to the number of service objects corresponding to the abnormal signal, the types of different service objects and the abnormal frequency of the abnormal signal, including: In the case that there is a common type in the service object type corresponding to the abnormal signal, determining that the priority reference data of the abnormal signal includes a first priority; In a case where the number of service objects corresponding to the abnormal signal is greater than a number threshold, determining that the priority reference data of the abnormal signal includes a second priority; In a case where the abnormal frequency corresponding to the abnormal signal is greater than a frequency threshold, determining that the priority reference data of the abnormal signal includes a third priority; The priority data of the abnormal signal is determined according to the priority reference data of the abnormal signal.

3. The method according to claim 1, characterized in that Determining the priority data of the abnormal signal according to the number of service objects corresponding to the abnormal signal, the types of different service objects, and the abnormal frequency of the abnormal signal, including: Determine, according to the number of service objects corresponding to the abnormal signal, an abnormal quantity score corresponding to the abnormal signal; Determine the abnormal importance score corresponding to the abnormal signal according to the type of different service objects corresponding to the abnormal signal; Determine, according to the abnormal frequency corresponding to the abnormal signal, an abnormal frequency score corresponding to the abnormal signal; The priority data of the abnormal signal is determined according to at least one of the abnormal quantity score, the abnormal importance score and the abnormal frequency score.

4. The method according to any one of claims 1 to 3, characterized in that: The step of determining the maintenance sequence of corresponding abnormal lines based on the priority data of different abnormal signals includes: Determine, from different abnormal signals, abnormal signals to be sorted that have the same priority data; Obtain the historical maintenance time of different abnormal signals to be sorted; According to the historical maintenance time of each abnormal signal to be sorted, the maintenance sequence of the abnormal lines corresponding to each abnormal signal to be sorted is determined.

5. The method according to any one of claims 1 to 3, characterized in that: After determining the maintenance sequence of the corresponding abnormal lines based on the priority data of different abnormal signals, the method further includes: For each abnormal signal, obtaining the location of the abnormal line to which the abnormal signal belongs and the historical maintenance data of the corresponding abnormal line; generating at least one maintenance task according to the location of the abnormal line to which each abnormal signal belongs and the historical maintenance data of the corresponding abnormal line; Each of the maintenance tasks is assigned to at least one maintenance terminal.

6. The method according to claim 5, characterized in that The allocating each maintenance task to at least one maintenance terminal comprises: Acquire each abnormal signal with the highest priority as the priority data as the target abnormal signal; taking the maintenance task of the abnormal line to which the target abnormal signal belongs as the maintenance task to be assigned; Determine candidate maintenance terminals that are not currently assigned maintenance tasks; For each candidate maintenance terminal, selecting a target maintenance terminal from the candidate maintenance terminals according to a target distance between each candidate maintenance terminal and the distribution network device corresponding to the target abnormal signal; Allocate the maintenance task to be allocated to the target maintenance terminal.

7. An abnormal signal processing device, characterized in that: The device comprises: A first acquisition module, used to acquire an abnormal signal of a distribution network device and an abnormal frequency of the abnormal signal; A first determining module, configured to determine an abnormal line corresponding to the distribution network device according to the abnormal signal; A second determination module is used to determine the number of service objects corresponding to the abnormal line and the types of different service objects; A third determination module, configured to determine the priority data of the abnormal signal according to the number of service objects corresponding to the abnormal signal, the types of different service objects, and the abnormal frequency of the abnormal signal; The fourth determination module is used to determine the maintenance sequence of the corresponding abnormal lines based on the priority data of different abnormal signals.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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