CN118133786A - Operation ticket generation method and device, electronic equipment and storage medium - Google Patents
Operation ticket generation method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN118133786A CN118133786A CN202311798534.9A CN202311798534A CN118133786A CN 118133786 A CN118133786 A CN 118133786A CN 202311798534 A CN202311798534 A CN 202311798534A CN 118133786 A CN118133786 A CN 118133786A
- Authority
- CN
- China
- Prior art keywords
- operation ticket
- historical
- ticket
- information
- overhaul
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 57
- 238000001514 detection method Methods 0.000 claims description 19
- 238000012423 maintenance Methods 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 16
- 230000002159 abnormal effect Effects 0.000 claims description 14
- 238000007781 pre-processing Methods 0.000 claims description 9
- 238000010606 normalization Methods 0.000 claims description 7
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 238000004891 communication Methods 0.000 description 8
- 238000012545 processing Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 5
- 230000005856 abnormality Effects 0.000 description 4
- 238000003058 natural language processing Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000013459 approach Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000001939 inductive effect Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000013526 transfer learning Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/186—Templates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/02—Knowledge representation; Symbolic representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Artificial Intelligence (AREA)
- Tourism & Hospitality (AREA)
- General Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Computational Linguistics (AREA)
- General Health & Medical Sciences (AREA)
- Quality & Reliability (AREA)
- Data Mining & Analysis (AREA)
- Operations Research (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- Evolutionary Computation (AREA)
- Computing Systems (AREA)
- Public Health (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an operation ticket generation method, an operation ticket generation device, operation ticket generation equipment and a storage medium. The method comprises the following steps: acquiring overhaul information of a target power grid and a text template matched with an operation ticket; generating an operation ticket of a target power grid according to the overhaul information, the text template and a pre-constructed operation ticket knowledge graph; the operation ticket knowledge graph is constructed based on historical information model data of a target power grid, historical overhaul information of a power outage management system and historical operation ticket data matched with the historical overhaul information. The technical scheme solves the problem of low operation ticket writing efficiency, can effectively improve the automatic generation efficiency of the operation ticket, improves the accuracy of the operation ticket, and greatly reduces the cost of scheduling business.
Description
Technical Field
The present invention relates to the field of power control technologies, and in particular, to a method and apparatus for generating an operation ticket, an electronic device, and a storage medium.
Background
The operation ticket is an important operation basis for power failure maintenance operation. The dispatcher needs to write operation tickets according to the information such as power failure overhaul equipment, processing mode opinions, primary equipment state requirements and the like in the overhaul sheet, and meanwhile, the dispatcher needs to have rich operation ticket writing experience.
However, the knowledge of the operation ticket is continuously updated, the dispatching rules are also changed frequently, the efficiency of manually inducing the operation ticket is low, the operation ticket is easy to make mistakes, and the heavy dispatching business is difficult to support. Therefore, an automatic generation method of operation tickets is needed to solve the problem of low operation ticket writing efficiency.
Disclosure of Invention
The invention provides an operation ticket generation method, an operation ticket generation device, operation ticket generation equipment and a storage medium, which are used for solving the problem of low operation ticket writing efficiency, effectively improving the automatic operation ticket generation efficiency, improving the operation ticket accuracy and greatly reducing the dispatching service cost.
According to an aspect of the present invention, there is provided an operation ticket generating method, the method comprising:
acquiring overhaul information of a target power grid and a text template matched with an operation ticket;
Generating an operation ticket of a target power grid according to the overhaul information, the text template and a pre-constructed operation ticket knowledge graph;
the operation ticket knowledge graph is constructed based on historical information model data of a target power grid, historical overhaul information of a power outage management system and historical operation ticket data matched with the historical overhaul information.
According to another aspect of the present invention, there is provided an operation ticket generating apparatus comprising:
the overhaul information acquisition module is used for acquiring overhaul information of the target power grid and a text template matched with the operation ticket;
the operation ticket generation module is used for generating an operation ticket of a target power grid according to the overhaul information, the text template and a pre-constructed operation ticket knowledge graph;
the operation ticket knowledge graph is constructed based on historical information model data of a target power grid, historical overhaul information of a power outage management system and historical operation ticket data matched with the historical overhaul information.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the operation ticket generation method according to any of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to execute the operation ticket generation method according to any of the embodiments of the present invention.
According to the technical scheme, overhaul information of a target power grid and a text template matched with an operation ticket are obtained; and generating an operation ticket of the target power grid according to the overhaul information, the text template and a pre-constructed operation ticket knowledge graph. The technical scheme solves the problem of low operation ticket writing efficiency, can effectively improve the automatic generation efficiency of the operation ticket, improves the accuracy of the operation ticket, and greatly reduces the cost of scheduling business.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method of generating an operation ticket according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a method for generating an operation ticket according to a second embodiment of the present invention;
Fig. 3 is a schematic structural view of an operation ticket generating apparatus according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device implementing the operation ticket generation method according to the embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. The technical scheme of the application obtains, stores, uses, processes and the like the data, which all meet the relevant regulations of national laws and regulations.
Example 1
Fig. 1 is a flowchart of a method for generating an operation ticket according to an embodiment of the present invention, where the embodiment is applicable to a scheduling scenario of an urban power grid. The method may be performed by an operation ticket generating apparatus, which may be implemented in hardware and/or software, which may be configured in an electronic device. As shown in fig. 1, the method includes:
s110, acquiring overhaul information of the target power grid and a text template matched with the operation ticket.
The scheme can be executed by a power outage management system (outage MANAGEMENT SYSTEM, OMS), wherein the power outage management system can acquire maintenance information of the target power grid, such as a maintenance bill, and can also acquire a text template corresponding to an operation ticket of the target power grid. The overhaul information can comprise overhaul time, overhaul person identification, overhaul equipment identification, a processing mode, equipment state requirements and the like.
And S120, generating an operation ticket of the target power grid according to the overhaul information, the text template and a pre-constructed operation ticket knowledge graph.
The outage management system may extract service features in the service information, for example, service equipment identification, treatment mode, and equipment status requirements as service features. The outage management system may determine ticket features in the ticket knowledge graph that match the service features. According to the operation ticket characteristics and the text template, the power outage management system can generate an operation ticket of the target power grid.
The operation ticket knowledge graph is constructed based on historical information model data of a target power grid, historical overhaul information of a power outage management system and historical operation ticket data matched with the historical overhaul information. It may be appreciated that the operation ticket knowledge graph may include an association relationship of devices and an association relationship of operation steps. Specifically, the device association relationship may include a device connection relationship, a device hierarchy relationship, a device belonging relationship, and the like, and the association relationship of the operation steps may include a sequential relationship, a conditional relationship, a parallel relationship, and the like of the operation steps. The operation ticket may include information such as an operation ticket identification, an operation device, an operation task, an operation item, and an operation time.
In one possible approach, the outage management system may obtain historical information model data of the target power grid, which may be common information model (Common Information Model, CIM) data of the target power grid, historical overhaul information, which may include a plurality of historical overhaul records of the target power grid, such as a historical overhaul ticket, and historical operation ticket data that matches the historical overhaul information. The historical operation ticket data may include a plurality of historical operation tickets, and each historical overhaul record may correspond to one or more historical operation tickets.
According to the historical information model data, the power outage management system can determine the association relation of the devices in the target power grid, such as the connection relation of the devices, the hierarchical relation of the devices, the relation of the devices and the like. The power outage management system can conduct feature extraction on the historical operation ticket data to determine the operation ticket features of each historical operation ticket. The power failure management system can also extract the characteristics of the historical overhaul information and determine the overhaul characteristics matched with each historical operation ticket. According to the association relation of the equipment in the target power grid, the operation ticket characteristics of each historical operation ticket and the overhaul characteristics matched with each historical operation ticket, the power outage management system can generate an operation ticket knowledge graph.
According to the technical scheme, overhaul information of a target power grid and a text template matched with an operation ticket are obtained; and generating an operation ticket of the target power grid according to the overhaul information, the text template and a pre-constructed operation ticket knowledge graph. The technical scheme solves the problem of low operation ticket writing efficiency, can effectively improve the automatic generation efficiency of the operation ticket, improves the accuracy of the operation ticket, and greatly reduces the cost of scheduling business.
Example two
Fig. 2 is a flowchart of a method for generating an operation ticket according to a second embodiment of the present invention, which is refined based on the foregoing embodiment. As shown in fig. 2, the method includes:
S210, acquiring historical information model data of a target power grid, historical overhaul information of a power failure management system and historical operation ticket data matched with the historical overhaul information.
In a preferred aspect, after obtaining the historical information model data of the target power grid, the historical maintenance information of the power outage management system, and the historical operation ticket data matched with the historical maintenance information, the method further includes:
Preprocessing the historical information model data, the historical overhaul information and the historical operation ticket data; wherein the preprocessing operation includes at least one of data cleansing, data normalization, and data normalization.
It can be understood that the historical information model data, the historical overhaul information and the historical operation ticket data may have the conditions of data missing, data repetition, data error and the like, so after the historical information model data of the target power grid, the historical overhaul information of the power outage management system and the historical operation ticket data matched with the historical overhaul information are obtained, the power outage management system can perform the power outage management on the historical information model data, the historical overhaul information and the historical operation ticket data; the preprocessing operation comprises data cleaning, data standardization, data normalization and other preprocessing operations so as to ensure the accuracy and consistency of data.
S220, determining the association relation of the equipment in the target power grid according to the historical information model data; determining the operation ticket characteristics of each historical operation ticket according to the historical operation ticket data; and determining the overhaul characteristics matched with each historical operation ticket according to the historical overhaul information.
Specifically, the outage management system may determine, according to the historical information model data of the target power grid, an association relationship of devices in the target power grid, for example, an association relationship such as a device connection relationship, a device hierarchy relationship, and a relationship to which the devices belong. According to the historical operation ticket data, the power outage management system can conduct text analysis on the historical operation ticket data based on natural language processing, and operation ticket characteristics of each historical operation ticket are extracted, for example, operation steps of each historical operation ticket are identified. Similarly, the outage management system may perform text analysis on the historical overhaul information based on natural language processing, and extract overhaul features matched by each historical operation ticket, for example, identify the current state of the equipment and the equipment state requirement.
S230, generating an operation ticket knowledge map according to the association relation of the equipment in the target power grid, the operation ticket characteristics of each historical operation ticket and the overhaul characteristics matched with each historical operation ticket.
The power outage management system can take equipment in the target power grid as nodes, and the association relationship between the equipment is taken as an edge. Attribute information of each node is determined according to the overhaul characteristics, for example, the current state of the equipment and the equipment state requirement are taken as node attributes. According to the operation ticket characteristics of the history operation ticket corresponding to each maintenance characteristic, the parking management system can determine the association relation between the node attributes, for example, the equipment A is converted from the state 1 to the state 2 through the operation step a. According to each node, the matched edges of each node, each node attribute and the association relation of each node attribute, the outage management system can generate an operation ticket knowledge graph.
The power outage management system can also take the current state of each device in the target power grid, the current state of the devices in the overhaul feature, the operation steps in the operation ticket feature and the like as nodes, and take the association relationship among the devices, the association relationship among the states, the association relationship among the operation steps and the like as edges to construct an operation ticket knowledge graph.
In one possible approach, the service features include a current status of the device and a status requirement of the device; the operation ticket feature comprises operation equipment, operation steps and equipment target states;
The generating an operation ticket knowledge map according to the association relation of the equipment in the target power grid, the operation ticket characteristics of each historical operation ticket and the overhaul characteristics matched with each historical operation ticket comprises the following steps:
The method comprises the steps of taking equipment in a target power grid as nodes, determining edges matched with all the nodes according to the association relation of the equipment in the target power grid, and generating an equipment topological graph according to all the nodes and the edges matched with all the nodes;
Determining the attribute of each node according to the maintenance characteristics, and determining the association relation of the attribute of each node according to the operation ticket characteristics;
and generating an operation ticket knowledge graph according to the node attributes, the association relation of the node attributes and the equipment topological graph.
It is easy to understand that the parking management system can use the equipment in the target power grid as a node, determine the matched edges of all the nodes according to the association relation of the equipment in the target power grid, and generate the equipment topological graph according to all the nodes and the matched edges of all the nodes. The parking management system can directly take the overhaul feature matched with the equipment as the node attribute of the equipment node, and can also process the overhaul feature, for example, the overhaul feature is classified, and the feature classification result is taken as the node attribute of the equipment node. Based on the ticket characteristics, the parking management system may determine an association relationship between node attributes, such as a sequential relationship of state changes between devices. On the basis of the equipment topological graph, the parking management system can generate an operation ticket knowledge graph according to the association relation between each node attribute and each node attribute.
S240, acquiring overhaul information of the target power grid and a text template matched with the operation ticket.
S250, determining maintenance characteristics according to the maintenance information.
It will be appreciated that the outage management system may extract service features in the service information, such as the current status of the device, the status requirements of the device, etc., based on natural language processing.
And S260, generating an operation ticket of the target power grid according to the overhaul characteristics and the operation ticket knowledge graph and the text template.
The power outage management system can perform feature extraction on the operation ticket knowledge graph in advance based on self-learning models such as a graph neural network and transfer learning to obtain operation ticket graph features. After the maintenance characteristics are obtained, the outage management system can determine the operation ticket characteristics of the target power grid based on the operation ticket map characteristics according to the maintenance characteristics, and can generate the operation ticket of the target power grid according to the text template according to the operation ticket characteristics.
It can be understood that the power outage management system can continuously collect new overhaul data and operation ticket data so as to update the operation ticket knowledge graph, and the timeliness of the operation ticket knowledge graph and the adaptability to new samples are ensured.
In one possible implementation, after generating the operation ticket knowledge graph, the method further includes:
Acquiring an operation ticket to be detected, and determining the characteristic of the operation ticket to be detected;
and determining an operation ticket detection result according to the operation ticket characteristics and the operation ticket knowledge graph.
For the operation ticket which is manually written, the power failure management system can detect the abnormality of the operation ticket based on the operation ticket knowledge graph. Specifically, the power outage management system can acquire the operation ticket to be detected, perform text analysis on the operation ticket to be detected based on natural language processing, and extract the operation ticket characteristics of the operation ticket to be detected. And detecting the characteristics of the operation ticket according to the operation ticket knowledge graph, and determining the detection result of the operation ticket. The operation ticket detection result can comprise detection time, operation ticket identification to be detected, an abnormality judgment result, abnormal items and other information.
The scheme can detect the operation ticket which is manually written based on the operation ticket knowledge graph, and is beneficial to ensuring the accuracy and reliability of the operation ticket.
On the basis of the above scheme, after determining the operation ticket detection result, the method further comprises:
if the operation ticket is abnormal according to the operation ticket detection result, determining the cause of abnormal ticket formation according to the operation ticket detection result and the operation ticket knowledge graph.
After the operation ticket detection result is obtained, the power failure management system can judge whether the operation ticket currently detected is abnormal or not according to the operation ticket detection result. If the operation ticket is abnormal, the power failure management system can search the abnormal ticket forming reason of the operation ticket according to the abnormal item in the detection result of the operation ticket and the operation ticket knowledge graph. For example, the abnormal item in the operation ticket detection result is an operation device, and the reason for abnormal ticket formation may be a device identification error.
The proposal can carry out abnormal correction aiming at abnormal information such as ticket forming rules of the operation ticket, wrong term templates and the like, and is beneficial to ensuring the standardization of the operation ticket.
According to the technical scheme, overhaul information of a target power grid and a text template matched with an operation ticket are obtained; and generating an operation ticket of the target power grid according to the overhaul information, the text template and a pre-constructed operation ticket knowledge graph. The technical scheme solves the problem of low operation ticket writing efficiency, can effectively improve the automatic generation efficiency of the operation ticket, improves the accuracy of the operation ticket, and greatly reduces the cost of scheduling business.
Example III
Fig. 3 is a schematic structural diagram of an operation ticket generating apparatus according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes:
The overhaul information acquisition module 310 is used for acquiring overhaul information of the target power grid and a text template matched with the operation ticket;
The operation ticket generating module 320 is configured to generate an operation ticket of the target power grid according to the overhaul information, the text template and a pre-constructed operation ticket knowledge graph;
the operation ticket knowledge graph is constructed based on historical information model data of a target power grid, historical overhaul information of a power outage management system and historical operation ticket data matched with the historical overhaul information.
In this aspect, optionally, the apparatus further includes:
the data acquisition module is used for acquiring historical information model data of the target power grid, historical overhaul information of the power outage management system and historical operation ticket data matched with the historical overhaul information before generating the operation ticket of the target power grid according to the overhaul information, a text template of the operation ticket to be generated and a pre-constructed operation ticket knowledge graph;
The characteristic determining module is used for determining the association relation of the equipment in the target power grid according to the historical information model data; determining the operation ticket characteristics of each historical operation ticket according to the historical operation ticket data; determining maintenance characteristics matched with each historical operation ticket according to the historical maintenance information;
The knowledge graph generation module is used for generating an operation ticket knowledge graph according to the association relation of the equipment in the target power grid, the operation ticket characteristics of each historical operation ticket and the overhaul characteristics matched with each historical operation ticket.
On the basis of the scheme, optionally, the overhaul characteristics comprise the current state of equipment and equipment state requirements; the operation ticket feature comprises operation equipment, operation steps and equipment target states;
the knowledge graph generation module comprises:
The device topology diagram generation unit is used for taking the devices in the target power grid as nodes, determining the edges matched with the nodes according to the association relation of the devices in the target power grid, and generating a device topology diagram according to the nodes and the edges matched with the nodes;
the attribute relation determining unit is used for determining the attribute of each node according to the overhaul characteristics and determining the association relation of the attribute of each node according to the operation ticket characteristics;
and the knowledge graph generating unit is used for generating an operation ticket knowledge graph according to the node attributes, the association relation of the node attributes and the equipment topological graph.
In one possible implementation, the operation ticket generating module 320 includes:
The overhaul feature determining unit is used for determining overhaul features according to the overhaul information;
and the operation ticket generating unit is used for generating an operation ticket of the target power grid according to the overhaul characteristics and the operation ticket knowledge graph and the text template.
On the basis of the above scheme, optionally, the device further comprises:
the operation ticket feature determining module is used for acquiring an operation ticket to be detected after the operation ticket knowledge graph is generated, and determining the operation ticket feature of the operation ticket to be detected;
And the detection result determining module is used for determining the detection result of the operation ticket according to the characteristics of the operation ticket and the operation ticket knowledge graph.
In a preferred embodiment, the apparatus further comprises:
And the abnormality cause determining module is used for determining the abnormality ticket forming cause according to the operation ticket detection result and the operation ticket knowledge graph if the operation ticket is abnormal according to the operation ticket detection result after the operation ticket detection result is determined.
In this embodiment, optionally, the apparatus further includes:
The data preprocessing module is used for preprocessing the historical information model data, the historical overhaul information and the historical operation ticket data after acquiring the historical information model data of the target power grid, the historical overhaul information of the power failure management system and the historical operation ticket data matched with the historical overhaul information; wherein the preprocessing operation includes at least one of data cleansing, data normalization, and data normalization.
The operation ticket generating device provided by the embodiment of the invention can execute the operation ticket generating method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.
Example IV
Fig. 4 shows a schematic diagram of an electronic device 410 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 410 includes at least one processor 411, and a memory, such as a Read Only Memory (ROM) 412, a Random Access Memory (RAM) 413, etc., communicatively connected to the at least one processor 411, wherein the memory stores computer programs executable by the at least one processor, and the processor 411 may perform various suitable actions and processes according to the computer programs stored in the Read Only Memory (ROM) 412 or the computer programs loaded from the storage unit 418 into the Random Access Memory (RAM) 413. In the RAM 413, various programs and data required for the operation of the electronic device 410 may also be stored. The processor 411, the ROM 412, and the RAM 413 are connected to each other through a bus 414. An input/output (I/O) interface 415 is also connected to bus 414.
Various components in the electronic device 410 are connected to the I/O interface 415, including: an input unit 416 such as a keyboard, a mouse, etc.; an output unit 417 such as various types of displays, speakers, and the like; a storage unit 418, such as a magnetic disk, optical disk, or the like; and a communication unit 419 such as a network card, modem, wireless communication transceiver, etc. The communication unit 419 allows the electronic device 410 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.
The processor 411 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 411 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 411 performs the respective methods and processes described above, such as the operation ticket generation method.
In some embodiments, the operation ticket generation method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 418. In some embodiments, some or all of the computer program may be loaded and/or installed onto the electronic device 410 via the ROM 412 and/or the communication unit 419. When the computer program is loaded into RAM 413 and executed by processor 411, one or more steps of the operation ticket generation method described above may be performed. Alternatively, in other embodiments, the processor 411 may be configured to perform the operation ticket generation method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems-on-a-chip (SOCs), complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out 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, special purpose computer, or other programmable ticket generating apparatus, such that the computer programs, when executed by the processor, cause the functions/operations specified in the flowchart and/or block diagram to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can 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 a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, 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, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method of generating an operation ticket, the method comprising:
acquiring overhaul information of a target power grid and a text template matched with an operation ticket;
Generating an operation ticket of a target power grid according to the overhaul information, the text template and a pre-constructed operation ticket knowledge graph;
the operation ticket knowledge graph is constructed based on historical information model data of a target power grid, historical overhaul information of a power outage management system and historical operation ticket data matched with the historical overhaul information.
2. The method of claim 1, wherein prior to generating the ticket for the target grid based on the service information, the text template for the ticket to be generated, and a pre-constructed ticket knowledge-graph, the method further comprises:
Acquiring historical information model data of a target power grid, historical overhaul information of a power failure management system and historical operation ticket data matched with the historical overhaul information;
according to the historical information model data, determining the association relation of equipment in a target power grid; determining the operation ticket characteristics of each historical operation ticket according to the historical operation ticket data; determining maintenance characteristics matched with each historical operation ticket according to the historical maintenance information;
and generating an operation ticket knowledge map according to the association relation of the equipment in the target power grid, the operation ticket characteristics of each historical operation ticket and the overhaul characteristics matched with each historical operation ticket.
3. The method of claim 2, wherein the service features include a current status of the device and a status requirement of the device; the operation ticket feature comprises operation equipment, operation steps and equipment target states;
The generating an operation ticket knowledge map according to the association relation of the equipment in the target power grid, the operation ticket characteristics of each historical operation ticket and the overhaul characteristics matched with each historical operation ticket comprises the following steps:
The method comprises the steps of taking equipment in a target power grid as nodes, determining edges matched with all the nodes according to the association relation of the equipment in the target power grid, and generating an equipment topological graph according to all the nodes and the edges matched with all the nodes;
Determining the attribute of each node according to the maintenance characteristics, and determining the association relation of the attribute of each node according to the operation ticket characteristics;
and generating an operation ticket knowledge graph according to the node attributes, the association relation of the node attributes and the equipment topological graph.
4. The method according to claim 1, wherein generating the operation ticket of the target power grid according to the overhaul information, the text template and a pre-constructed operation ticket knowledge graph comprises:
determining maintenance characteristics according to the maintenance information;
And generating an operation ticket of a target power grid according to the overhaul characteristics and the operation ticket knowledge graph and the text template.
5. The method of claim 2, wherein after generating the ticket knowledge-graph, the method further comprises:
Acquiring an operation ticket to be detected, and determining the characteristic of the operation ticket to be detected;
and determining an operation ticket detection result according to the operation ticket characteristics and the operation ticket knowledge graph.
6. The method of claim 5, wherein after determining the operation ticket test result, the method further comprises:
if the operation ticket is abnormal according to the operation ticket detection result, determining the cause of abnormal ticket formation according to the operation ticket detection result and the operation ticket knowledge graph.
7. The method of claim 2, wherein after obtaining historical information model data for a target grid, historical overhaul information for a power outage management system, and historical operation ticket data that matches the historical overhaul information, the method further comprises:
Preprocessing the historical information model data, the historical overhaul information and the historical operation ticket data; wherein the preprocessing operation includes at least one of data cleansing, data normalization, and data normalization.
8. An operation ticket generating apparatus, comprising:
the overhaul information acquisition module is used for acquiring overhaul information of the target power grid and a text template matched with the operation ticket;
the operation ticket generation module is used for generating an operation ticket of a target power grid according to the overhaul information, the text template and a pre-constructed operation ticket knowledge graph;
the operation ticket knowledge graph is constructed based on historical information model data of a target power grid, historical overhaul information of a power outage management system and historical operation ticket data matched with the historical overhaul information.
9. An electronic device, the electronic device comprising:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the operation ticket generation method of any of claims 1-7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores computer instructions for causing a processor to implement the operation ticket generation method of any one of claims 1 to 7 when executed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311798534.9A CN118133786A (en) | 2023-12-25 | 2023-12-25 | Operation ticket generation method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311798534.9A CN118133786A (en) | 2023-12-25 | 2023-12-25 | Operation ticket generation method and device, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN118133786A true CN118133786A (en) | 2024-06-04 |
Family
ID=91233266
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311798534.9A Pending CN118133786A (en) | 2023-12-25 | 2023-12-25 | Operation ticket generation method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118133786A (en) |
-
2023
- 2023-12-25 CN CN202311798534.9A patent/CN118133786A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116307672A (en) | Fault diagnosis method, device, electronic equipment and medium | |
| CN117455067A (en) | Electric quantity consumption prediction method and device, electronic equipment and storage medium | |
| CN116309963B (en) | Batch labeling method and device for images, electronic equipment and storage medium | |
| CN117499148A (en) | Network access control method, device, equipment and storage medium | |
| CN115048352B (en) | Log field extraction method, device, equipment and storage medium | |
| CN112560480A (en) | Task community discovery method, device, equipment and storage medium | |
| CN118133786A (en) | Operation ticket generation method and device, electronic equipment and storage medium | |
| CN115544010A (en) | Mapping relation determining method and device, electronic equipment and storage medium | |
| CN116431698B (en) | Data extraction method, device, equipment and storage medium | |
| CN116627695B (en) | Alarm event root cause recommendation method, device, equipment and storage medium | |
| CN112115036B (en) | Cluster capacity prediction method and device | |
| CN114898374A (en) | Image semantic recognition method, device, equipment and storage medium | |
| CN117541053A (en) | Project risk prompting method and device, electronic equipment and storage medium | |
| CN117196524A (en) | Construction method and device of operation ticket knowledge graph and storage medium | |
| CN118536695A (en) | Knowledge graph-based power grid equipment management method, device, equipment and medium | |
| CN117252444A (en) | Power distribution network planning method and device, electronic equipment and storage medium | |
| CN118427289A (en) | Entity relation extraction method, device and equipment based on document format information | |
| CN113962382A (en) | Training sample construction method and device, electronic equipment and readable storage medium | |
| CN114706578A (en) | Data processing method, device, equipment and medium | |
| CN116090704A (en) | Energy management method, device, equipment and medium for business tenant | |
| CN118364825A (en) | Log detection method and device, electronic equipment and storage medium | |
| CN117609723A (en) | Object identification method and device, electronic equipment and storage medium | |
| CN118688548A (en) | Transformer state detection method and device | |
| CN117033463A (en) | Optimization strategy generation method, device, equipment and medium based on video log | |
| CN116796229A (en) | Equipment fault detection method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |