Power distribution network maintenance process optimization method, apparatus and device, and storage medium

Abstract

The invention relates to the technical field of power distribution networks, in particular to a power distribution network maintenance process optimization method and device, equipment and a storage medium, and the method comprises the steps: recognizing an equipment object selected by a user in an SVG feeder graph to obtain recognition information, and the recognition information at least comprises target equipment and target elements; extracting the identification information to obtain extraction information, wherein the extraction information comprises equipment parameters of the target equipment and an element model of the target element; generating a recognition object text based on the recognition information and the extraction information; and obtaining a target maintenance list based on the recognition object text and a preset security measure rule base. The information accuracy of the power distribution network maintenance list acquired by the dispatching desk and the efficiency of acquiring the power distribution network maintenance list by the dispatching desk can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of distribution network, and in particular to a distribution network maintenance process optimization method, device, equipment and storage medium. Background Art

[0002] In order to ensure the safe and stable operation of the distribution network, it is necessary to regularly inspect and maintain the distribution network. When inspecting the distribution network, it is also necessary to fill out the distribution network maintenance form to record the inspection process.

[0003] At present, the process of filling out the distribution network maintenance form is as follows: during the distribution network maintenance process, the operation and maintenance personnel manually write the equipment ledger and maintenance operation terms into the distribution network maintenance form, and send the distribution network maintenance form to the dispatching desk.

[0004] However, it is easy for operation and maintenance personnel to manually fill in incorrect equipment records and maintenance operation terms on the distribution network maintenance form, resulting in a large amount of erroneous information filled in on the distribution network maintenance form, and the operation and maintenance personnel are inefficient in manually filling in the distribution network maintenance form. In summary, it can be seen that the information accuracy of the distribution network maintenance form obtained by the dispatching station is poor and the efficiency of obtaining the distribution network maintenance form is low. Summary of the invention

[0005] In order to improve the accuracy of information on distribution network maintenance orders obtained by a dispatching station and the efficiency of the dispatching station in obtaining distribution network maintenance orders, the present application provides a distribution network maintenance process optimization method, device, equipment and storage medium.

[0006] In a first aspect, the present application provides a method for optimizing a distribution network maintenance process, comprising:

[0007] Identify the device object selected by the user in the SVG feeder diagram to obtain identification information, wherein the identification information at least includes a target device and a target element;

[0008] Extracting the identification information to obtain extracted information, wherein the extracted information includes device parameters of the target device and a component model of the target component;

[0009] generating a recognition object text based on the recognition information and the extraction information;

[0010] A target maintenance list is obtained based on the identified object text and a preset safety measure rule library.

[0011] In a second aspect, the present application provides a distribution network maintenance process optimization device, comprising:

[0012] An information identification module, used to identify the device object selected by the user in the SVG feeder diagram to obtain identification information, wherein the identification information at least includes a target device and a target element;

[0013] An information extraction module, used to extract the identification information to obtain extracted information, wherein the extracted information includes device parameters of the target device and a component model of the target component;

[0014] A text generation module, used to generate a recognition object text based on the recognition information and the extraction information;

[0015] The text matching module is used to obtain a target maintenance list based on the identified object text and a preset safety measure rule library.

[0016] In a third aspect, the present application provides a computer device, the computer device comprising a memory and a processor, the memory storing a computer program, and the processor implementing the steps in the above method when executing the computer program.

[0017] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which implements the steps in the above method when executed by a processor.

[0018] In a fifth aspect, the present application further provides a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0019] The above-mentioned distribution network maintenance process optimization method, device, equipment and storage medium obtain identification information by identifying the device object selected by the user in the SVG feeder diagram, and the identification information includes at least the target device and the target element; extracting the identification information to obtain the extracted information, and the extracted information includes the device parameters of the target device and the component model of the target element; generating the identification object text based on the identification information and the extracted information; and obtaining the target maintenance form based on the identification object text and the preset safety measures rule library. Through the above implementation, the user only needs to select the device object in the SVG feeder diagram, and the distribution network maintenance form with the identification information, extraction information and safety measures filled in can be automatically generated, that is, the target maintenance form. Since manual participation is eliminated as much as possible in the process of generating the target maintenance form, and the target maintenance form is mainly generated by automated technology, it is convenient to improve the efficiency of obtaining the final distribution network maintenance form; and, since the preset safety measures rule library is introduced, the information accuracy of the obtained distribution network maintenance form can be improved; in summary, the present application is convenient to improve the information accuracy of the distribution network maintenance form obtained by the dispatching station and the efficiency of the dispatching station in obtaining the distribution network maintenance form.

[0020] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 A flow chart of a method for optimizing a distribution network maintenance process provided in an embodiment of the present application;

[0023] Figure 2 A flow chart of another method for optimizing the maintenance process of a distribution network provided in an embodiment of the present application;

[0024] Figure 3 A flow chart of another method for optimizing the maintenance process of a distribution network provided in an embodiment of the present application;

[0025] Figure 4 A schematic diagram of the structure of a distribution network maintenance process optimization device provided in an embodiment of the present application;

[0026] Figure 5 A schematic diagram of the structure of another distribution network maintenance process optimization device provided in an embodiment of the present application;

[0027] Figure 6 A schematic diagram of the structure of another distribution network maintenance process optimization device provided in an embodiment of the present application;

[0028] Figure 7 A schematic diagram of the structure of a computer device provided in an embodiment of the present application;

[0029] Figure 8 This is a diagram of the internal structure of a computer-readable storage medium provided in an embodiment of the present application. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solution and advantages of the present disclosure more clear, the present disclosure 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 disclosure and are not used to limit the present disclosure.

[0031] It should be noted that the terms "first", "second", etc. in the specification and claims of this article and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of this article described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, device, product or equipment that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment.

[0032] In this article, the term "and / or" is only a description of the association relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the related objects before and after are in an "or" relationship.

[0033] Embodiment 1

[0034] Figure 1 A flow chart of a method for optimizing a distribution network maintenance process provided in Example 1 of the present application, refer to Figure 1 The method may be performed by a device for performing the method, and the device may be implemented by software and / or hardware. The method includes:

[0035] S110: Identify the device object selected by the user in the SVG feeder diagram to obtain identification information, where the identification information at least includes a target device and a target component.

[0036] Among them, the SVG feeder diagram is preset in the distribution network system, the SVG feeder diagram is a circuit diagram of the distribution network, and the equipment object is the circuit equipment or circuit element in the SVG feeder diagram, such as station switches, distribution transformers, knife switches and ring network switches, etc. The equipment object is the circuit equipment or circuit element related to the distribution network maintenance order currently executed by the user, and the distribution network maintenance order is a document that the user needs to fill in when performing distribution network maintenance; the identification information is the identification result obtained by the distribution network system for identifying the equipment object selected by the user in the SVG feeder diagram, the target device is the circuit equipment selected by the user in the SVG feeder diagram, and the target element is the circuit element selected by the user in the SVG feeder diagram.

[0037] Specifically, the user logs in to the distribution network system and opens the SVG feeder diagram, and then manually selects each device object related to the distribution network maintenance form by clicking on the SVG feeder diagram. The distribution network system identifies the device object selected by the user. If the identified device object is a circuit device, the circuit device is used as the target device. If the identified device object is a circuit element, the circuit element is used as the target element. The identified target device and target element are also used as identification information, and the identification information is filled in on the distribution network maintenance form.

[0038] S120: Extract the identification information to obtain extracted information, where the extracted information includes device parameters of the target device and a component model of the target component.

[0039] The target device in the identification information has its corresponding device parameters. For example, the device parameters include resistance, reactance, rated short-circuit loss, rated open-circuit loss, rated current, active power and reactive power, etc. The target component in the identification information has its corresponding component model, which is the model of the target component. For example, the target component is a circuit breaker, and the short-circuit model corresponding to the circuit breaker is "NSX400F-3P-400A MIC2.3", where "NSX" represents a certain brand of molded case circuit breaker, "400" represents the frame current of 400A, "F" represents the breaking current of 36KA, "3P" represents three-pole, and "MIC 2.3" represents three-stage current protection; the distribution network system can extract the device parameters corresponding to the target device from the identification information through the built-in natural language processing model, and can also extract the component model corresponding to the target component from the identification information. In this embodiment, the natural language processing model is a recurrent neural network (Recurrent Neural Network In other embodiments, the natural language processing model may also be LSTM (Long Short-Term Memory Network), Transformer (neural network structure based on attention mechanism), etc., without specific limitation; the extracted information is the device parameters of the target device and the component model of the target component extracted from the distribution network system.

[0040] Specifically, the distribution network system proposes the equipment parameters of the target device in the identification information, and also extracts the component model of the target component in the identification information, uses the equipment parameters and the component model as extracted information, and intelligently labels the equipment parameters and the component model, and writes the extracted information on the distribution network maintenance form.

[0041] S130: Generate recognition object text based on the recognition information and the extraction information.

[0042] Among them, the object text is identification information and extraction information in text format, and the distribution network system can convert the identification information and extraction information into identification information and extraction information in a specific text format; exemplarily, the object text includes substation name, line name, tower number, switch and knife switch, etc.

[0043] Specifically, the distribution network system further converts the obtained identification information and the extracted information into identification information and the extracted information in text format, and uses the identification information and the extracted information in text format as the object text.

[0044] S140, obtaining a target maintenance list based on the identified object text and a preset safety measure rule library.

[0045] Among them, the safety measures rule base includes multiple safety measures related to the distribution network power outage application form. The safety measures rule base may contain safety measures related to the object text. For example, if the substation name, line name, tower number, switch and knife switch corresponding to an object text are related to a safety measure in the safety measures rule base, then this safety measure in the safety measures rule base is related to the object text, and the two have a corresponding relationship; the distribution network system can determine whether there is a safety measure related to the text object in the preset safety measures rule base. If so, the safety measure can be further selected from the safety measures rule base, and the safety measure can also be filled in on the distribution network maintenance form, so as to obtain the target maintenance form, which is the distribution network maintenance form filled with identification information, extraction information and safety measures; the target maintenance form is used to enable users to perform further distribution network maintenance work.

[0046] Specifically, the distribution network system determines whether there are safety measures related to the object text in the preset safety measures rule library. If so, the safety measures are also filled in the distribution network maintenance form that has been filled in with identification information and extraction information, thereby obtaining the target maintenance form.

[0047] It should be noted that, in this embodiment, identification information is obtained by identifying the device object selected by the user in the SVG feeder diagram, and the identification information includes at least the target device and the target component; the identification information is extracted to obtain the extracted information, and the extracted information includes the device parameters of the target device and the component model of the target component; the identification object text is generated based on the identification information and the extracted information; the target maintenance order is obtained based on the identification object text and the preset safety measures rule library. Through the above implementation, the user only needs to select the device object in the SVG feeder diagram, and the distribution network maintenance order with identification information, extraction information and safety measures filled in can be automatically generated, that is, the target maintenance order. Since manual participation is eliminated as much as possible in the process of generating the target maintenance order, and the target maintenance order is mainly generated by automated technology, it is convenient to improve the efficiency of obtaining the final distribution network maintenance order; and, since the preset safety measures rule library is introduced, the information accuracy of the obtained distribution network maintenance order can be improved; in summary, the present application is convenient to improve the information accuracy of the distribution network maintenance order obtained by the dispatching station and the efficiency of the dispatching station in obtaining the distribution network maintenance order.

[0048] Embodiment 2

[0049] A method for optimizing a distribution network maintenance process is provided in a second embodiment of the present application. The method optimizes the "identifying the device object selected by the user in the SVG feeder diagram to obtain identification information" in the first embodiment. It should be noted that for the parts not described in detail in this embodiment, reference may be made to the descriptions of other embodiments. The method includes:

[0050] S211. Obtain a device object selected by a user in the SVG feeder diagram.

[0051] The distribution network system may obtain the device object selected by the user in the SVG feeder diagram by manual clicking.

[0052] Specifically, the distribution network system obtains the device object selected by the user in the SVG feeder diagram by manual clicking.

[0053] S212: Process the device object based on a preset deep learning model to obtain a target device, a target component, and a target connection relationship.

[0054] Among them, the deep learning model is used to identify the device object selected by the user, thereby identifying the target device, target component and target connection relationship selected by the user; in this embodiment, the deep learning model is a convolutional neural network (CNN), and in other embodiments, there is no specific limitation; the target connection relationship is the circuit connection relationship between target devices and / or the circuit connection relationship between target components and / or the circuit connection relationship between the target device and the target component.

[0055] Specifically, when the device object is a circuit device, the deep learning model identifies the device object to obtain the target device; when the device object is a circuit element, the deep learning model identifies the device object to obtain the target element; when multiple target devices and multiple target elements are identified, the deep learning model also automatically identifies the circuit connection relationship between the target devices and / or the circuit connection relationship between the target elements and / or the circuit connection relationship between the target device and the target element, thereby obtaining the target connection relationship.

[0056] It should be noted that the preset deep learning model can improve the accuracy and robustness of device object recognition.

[0057] S213: Obtain the identification information based on the target device, the target element and the target connection relationship.

[0058] The identification information includes the target device, the target element and the target connection relationship.

[0059] S220: Extract the identification information to obtain extracted information, where the extracted information includes device parameters of the target device and a component model of the target component.

[0060] S230: Generate recognition object text based on the recognition information and the extraction information.

[0061] S240, obtaining a target maintenance list based on the identified object text and a preset safety measure rule library.

[0062] Embodiment 3

[0063] A method for optimizing a distribution network maintenance process is provided in a third embodiment of the present application. The method optimizes the "obtaining a target maintenance order based on the identified object text and a preset safety measure rule library" in the first embodiment; it should be noted that for the parts not described in detail in this embodiment, reference may be made to the descriptions of other embodiments. The method includes:

[0064] S310: Identify the device object selected by the user in the SVG feeder diagram to obtain identification information, where the identification information at least includes a target device and a target element.

[0065] S320: Extract the identification information to obtain extracted information, where the extracted information includes device parameters of the target device and a component model of the target component.

[0066] S330: Generate recognition object text based on the recognition information and the extraction information.

[0067] S341, matching the recognition object text with a preset security measure rule library to obtain a target security measure.

[0068] The distribution network system is used to match the safety measures corresponding to the object text in the preset safety measures rule base, and the target safety measures are the safety measures corresponding to the object text in the safety measures rule base.

[0069] Specifically, the distribution network determines whether there is a safety measure corresponding to the object text in the safety measure rule library, and if so, selects the safety measure from the safety measure rule library as the target safety measure.

[0070] It should be noted that when there are multiple object texts, the distribution network system can output multiple target safety measures. In response to the existence of multiple target safety measures, the distribution network system outputs multiple target safety measures in sequence according to the generation sequence of the target safety measures, and matches the corresponding serial number for each target safety measure.

[0071] S342: Identify the type of measure corresponding to the target security measure.

[0072] Among them, each safety measure in the safety measures rule base has its corresponding type, and the measure type is also the type corresponding to the safety measure. In this embodiment, the measure type includes primary safety measures and secondary equipment requirements. In other embodiments, there is no specific limitation; the distribution network system can identify the measure type corresponding to the target safety measure, thereby determining whether the target safety measure belongs to a primary safety measure or a secondary equipment requirement.

[0073] Specifically, the distribution network system identifies the measure type of the generated target safety measure, thereby determining whether the target safety measure belongs to a primary safety measure or a secondary equipment requirement.

[0074] S343. Obtain a target maintenance list based on the target safety measure and the corresponding type of measure.

[0075] Among them, the target safety measures and the corresponding types of measures must be filled in on the distribution network maintenance form to obtain the corresponding target maintenance form.

[0076] Specifically, the target safety measures and the corresponding types of measures are filled in the distribution network maintenance form that has been filled in with the identification information and the extraction information, so as to obtain the target maintenance form.

[0077] It should be noted that by filling in the type of measures corresponding to the target safety measures on the distribution network maintenance form, it is convenient for users to determine the specific circumstances corresponding to the safety measures based on the distribution network maintenance form, so as to guide the next step of distribution network maintenance work.

[0078] Embodiment 4

[0079] A method for optimizing a distribution network maintenance process is provided in a fourth embodiment of the present application. The method optimizes the "obtaining a target maintenance list based on the target safety measures and the corresponding types of measures" in the third embodiment. It should be noted that for the parts not described in detail in this embodiment, reference may be made to the descriptions of other embodiments. The method includes:

[0080] S410: Identify the device object selected by the user in the SVG feeder diagram to obtain identification information, where the identification information at least includes a target device and a target component.

[0081] S420: Extract the identification information to obtain extracted information, where the extracted information includes device parameters of the target device and a component model of the target component.

[0082] S430: Generate recognition object text based on the recognition information and the extraction information.

[0083] S441, matching the recognition object text with a preset security measure rule library to obtain a target security measure.

[0084] S442: Identify the type of measure corresponding to the target security measure.

[0085] S443A: Convert the target security measure into an output statement based on the measure type.

[0086] Among them, the output statement is used to fill in the content corresponding to the target safety measure on the distribution network maintenance form; the distribution network system can convert the target safety measure into the corresponding output statement according to the type of measure corresponding to the target safety measure; the output statement specifically includes two statements, one of which is the statement corresponding to the target safety measure when the measure type is a primary safety measure, and the other is the statement corresponding to the target safety measure when the measure type is a secondary equipment requirement.

[0087] Specifically, the distribution network system converts the target safety measure into a corresponding output statement according to the type of measure corresponding to the target safety measure.

[0088] S443B, writing the output statement into a preset distribution network maintenance list to obtain a target maintenance list.

[0089] Among them, the preset distribution network maintenance form is a distribution network maintenance form in which identification information and extraction information have been filled in.

[0090] Specifically, the distribution network system fills the generated output statement into the distribution network maintenance form that has already filled in the identification information and the extraction information, thereby obtaining a target maintenance form.

[0091] Embodiment 5

[0092] Figure 2 A flow chart of a distribution network maintenance process optimization method provided in Example 5 of this application, refer to Figure 2 The method may be performed by a device for performing the method, and the device may be implemented by software and / or hardware. The method includes:

[0093] S510: Identify the device object selected by the user in the SVG feeder diagram to obtain identification information, where the identification information at least includes a target device and a target component.

[0094] S520: Extract the identification information to obtain extracted information, where the extracted information includes device parameters of the target device and a component model of the target component.

[0095] S530: Generate recognition object text based on the recognition information and the extraction information.

[0096] S540, obtaining a target maintenance list based on the identified object text and a preset safety measure rule library.

[0097] S550, determining the current approval node, current node personnel, and approval time corresponding to the target maintenance order.

[0098] Among them, after the target maintenance order is generated, further, the target maintenance order needs to be approved by multiple approval nodes; after the distribution network system generates the target maintenance order, further, the target maintenance order is sent to the next approval node for approval; the current approval node is also the approval node that currently obtains the target maintenance order, and the current node personnel is the personnel used by the current approval node to approve the target maintenance order, and the current node personnel can be multiple people; the approval time is the approval deadline of the target maintenance order at the current approval node.

[0099] Specifically, after the distribution network system sends the target maintenance order to the current approval node, it further obtains the current approval node, the current node personnel and the approval time.

[0100] S560: In response to the approval time not being reached and the target maintenance order not being approved, regularly sending approval reminder information to the current node personnel of the current approval node.

[0101] Among them, taking one of the current approval nodes as an example, after the target maintenance order is sent to the relevant approval node, the distribution network system further determines whether the current approval time has been reached, and determines whether the target maintenance order has been approved by the current node personnel of the current approval node; when it is determined that the approval time has not been reached and the target maintenance order has not been approved, the distribution network system will send approval reminder information to all current node personnel of the current approval node at a certain frequency. The certain frequency can be 1 time / day or 2 times / day, and there is no specific limitation. The forms of sending approval reminder information include but are not limited to SMS, email, and APP notification.

[0102] Specifically, the distribution network system determines whether the approval time has been reached and whether the target maintenance order has been approved by the current node personnel of the current approval node; in response to the approval time not being reached and the target maintenance order not being approved, the distribution network system sends approval prompt information to all current node personnel of the current approval node at a certain frequency.

[0103] It should be noted that when the approval time has not been reached and the target maintenance order has not been approved, regularly sending approval reminder information to the current node personnel will help to fully improve the circulation speed of the target maintenance order, thereby facilitating the avoidance of circulation delays that may result in the cancellation of the target maintenance order.

[0104] S570: In response to the approval time not being reached and the target maintenance order having been approved, stop sending approval prompt information to the current node personnel of the current approval node.

[0105] Specifically, the distribution network system determines whether the approval time has been reached and whether the target maintenance order has been approved by the current node personnel of the current approval node; in response to the approval time not being reached and the target maintenance order having been approved, the distribution network system stops sending approval prompt information to the current node personnel.

[0106] It should be noted that when the approval time has not been reached and the target maintenance order has been approved, stopping sending approval prompt information to the current node personnel of the current approval node can prevent redundancy of prompt information, thereby avoiding the situation where valid information is ignored.

[0107] Embodiment 6

[0108] Figure 3 A flow chart of a distribution network maintenance process optimization method provided in Example 6 of this application, refer to Figure 3 The method may be performed by a device for performing the method, and the device may be implemented by software and / or hardware. The method includes:

[0109] S610: Identify the device object selected by the user in the SVG feeder diagram to obtain identification information, where the identification information at least includes a target device and a target component.

[0110] S620: Extract the identification information to obtain extracted information, where the extracted information includes device parameters of the target device and a component model of the target component.

[0111] S630: Generate recognition object text based on the recognition information and the extraction information.

[0112] S640, obtaining a target maintenance list based on the identified object text and a preset safety measure rule library.

[0113] S650: Determine the final submission time of the target maintenance order, and determine the target submission time based on the final submission time.

[0114] Among them, the target maintenance order needs to be further submitted to the dispatching agency after the approval is completed. The final submission time is the deadline for submitting the target maintenance order to the dispatching agency. In order to prevent the final submission time from being missed, the distribution network system presets a target submission time that is earlier than the final submission time. For example, the target submission time is 10 working days earlier than the final submission time.

[0115] Specifically, the distribution network system determines the final submission time required for the target maintenance order to be submitted to the dispatching agency, and then advances the target submission time by a certain time, such as 10 working days, based on the final submission time to establish the target submission time.

[0116] S660. In response to reaching the target submission time, a submission prompt message is sent to the current node personnel corresponding to the target maintenance order.

[0117] Among them, the current node personnel corresponding to the target maintenance order is the person who finally executes sending the target maintenance order to the dispatching agency. The submission prompt information is used to remind the current node personnel to submit the target maintenance order to the dispatching agency. The methods of sending the submission prompt information include but are not limited to SMS, email, and APP notification.

[0118] Specifically, the distribution network system determines whether the target submission time has been reached. If so, a submission prompt message is sent to the current node personnel corresponding to the target maintenance order.

[0119] It should be noted that by sending a submission reminder message when the target submission time is reached, the timeliness of the submission of the target maintenance order can be effectively guaranteed.

[0120] It should be noted that the technical key points of the above embodiments include: 1. Data analysis and processing: distribution network maintenance involves a large amount of data collection, processing and analysis, including equipment status, maintenance history, fault records, etc. Intelligent analysis and processing of these data is the key to achieving progress tracking and early warning. 2. Real-time monitoring and feedback: the system needs to have the ability to monitor the status of distribution network equipment in real time and be able to provide timely feedback on maintenance progress so as to adjust and optimize the maintenance plan in a timely manner. 3. Early warning: based on the data analysis results, predict the risk of equipment failure, issue early warnings in a timely manner, and provide decision support for maintenance personnel. The technical innovations of the above embodiments include: 1. Using deep learning algorithms, training specific models to identify various devices and components, and improving the accuracy and robustness of identification. 2. Using natural language processing and information extraction technology to automatically extract relevant information from images, reducing manual intervention and errors. 3. Intelligent management: Different from the traditional manual management mode, the intelligent distribution network maintenance progress tracking and early warning system realizes intelligent management, which greatly improves maintenance efficiency and accuracy. 4. Data-driven: The system analyzes and makes decisions based on a large amount of data, making full use of the advantages of modern information technology in data processing and analysis. 5. Real-time monitoring and early warning: The system can monitor the status of distribution network equipment in real time, predict failure risks and issue early warnings in a timely manner, effectively reducing the incidence of power outages and other accidents caused by equipment failures. In summary, the intelligent distribution network maintenance progress tracking and early warning system reflects its advancedness and advantages in both technical key points and innovative points, and can provide strong support for distribution network maintenance work and improve power supply reliability and service quality.

[0121] 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.

[0122] Embodiment 7

[0123] Based on the same inventive concept, this embodiment also provides a distribution network maintenance process optimization device for implementing the distribution network maintenance process optimization 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 distribution network maintenance process optimization device embodiments provided below can refer to the limitations of the distribution network maintenance process optimization method above, and will not be repeated here.

[0124] In this embodiment, Figure 4 As shown, a distribution network maintenance process optimization device is provided, comprising:

[0125] The information identification module is used to identify the device object selected by the user in the SVG feeder diagram to obtain identification information, wherein the identification information at least includes a target device and a target element.

[0126] The information extraction module is used to extract the identification information to obtain extracted information, wherein the extracted information includes device parameters of the target device and component model of the target component.

[0127] The text generation module is used to generate the recognition object text based on the recognition information and the extraction information.

[0128] The text matching module is used to obtain a target maintenance list based on the identified object text and a preset safety measure rule library.

[0129] Embodiment 8

[0130] In this embodiment, Figure 5 As shown, a distribution network maintenance process optimization device is provided, comprising:

[0131] The information identification module is used to identify the device object selected by the user in the SVG feeder diagram to obtain identification information, wherein the identification information at least includes a target device and a target element.

[0132] The information extraction module is used to extract the identification information to obtain extracted information, wherein the extracted information includes device parameters of the target device and component model of the target component.

[0133] The text generation module is used to generate the recognition object text based on the recognition information and the extraction information.

[0134] The text matching module is used to obtain a target maintenance list based on the identified object text and a preset safety measure rule library.

[0135] The node confirmation module is used to determine the current approval node, current node personnel and approval time corresponding to the target maintenance order.

[0136] The prompt initiation module is used to periodically send approval prompt information to the current node personnel of the current approval node in response to the approval time not being reached and the target maintenance order not being approved.

[0137] The prompt stop module is used to stop sending approval prompt information to the current node personnel of the current approval node in response to the approval time not being reached and the target maintenance order having been approved.

[0138] Embodiment 9

[0139] In this embodiment, Figure 6 As shown, a distribution network maintenance process optimization device is provided, comprising:

[0140] The information identification module is used to identify the device object selected by the user in the SVG feeder diagram to obtain identification information, wherein the identification information at least includes a target device and a target element.

[0141] The information extraction module is used to extract the identification information to obtain extracted information, wherein the extracted information includes device parameters of the target device and component model of the target component.

[0142] The text generation module is used to generate the recognition object text based on the recognition information and the extraction information.

[0143] The text matching module is used to obtain a target maintenance list based on the identified object text and a preset safety measure rule library.

[0144] The time determination module is used to determine the final submission time of the target maintenance order and determine the target submission time based on the final submission time.

[0145] The submission prompt module is used to send a submission prompt message to the current node personnel corresponding to the target maintenance order in response to reaching the target submission time.

[0146] Each module in the above-mentioned distribution network maintenance process optimization device can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0147] It should be noted that, in this embodiment, identification information is obtained by identifying the device object selected by the user in the SVG feeder diagram, and the identification information includes at least the target device and the target component; the identification information is extracted to obtain the extracted information, and the extracted information includes the device parameters of the target device and the component model of the target component; the identification object text is generated based on the identification information and the extracted information; the target maintenance order is obtained based on the identification object text and the preset safety measures rule library. Through the above implementation, the user only needs to select the device object in the SVG feeder diagram, and the distribution network maintenance order with identification information, extraction information and safety measures filled in can be automatically generated, that is, the target maintenance order. Since manual participation is eliminated as much as possible in the process of generating the target maintenance order, and the target maintenance order is mainly generated by automated technology, it is convenient to improve the efficiency of obtaining the final distribution network maintenance order; and, since the preset safety measures rule library is introduced, the information accuracy of the obtained distribution network maintenance order can be improved; in summary, the present application is convenient to improve the information accuracy of the distribution network maintenance order obtained by the dispatching station and the efficiency of the dispatching station in obtaining the distribution network maintenance order.

[0148] Embodiment 10

[0149] In this embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 7 As shown. The computer device includes a processor, a memory and a network interface connected through a system bus. Among them, 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, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a distribution network maintenance process optimization method is implemented.

[0150] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the scheme of the present disclosure, and does not constitute a limitation on the computer device to which the scheme of the present disclosure 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.

[0151] Embodiment 11

[0152] In this embodiment, a computer readable storage medium is provided. Figure 8 As shown, a computer program is stored thereon, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0153] Embodiment 12

[0154] In this embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0155] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this disclosure are all information and data authorized by the user or fully authorized by all parties.

[0156] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods 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 by the present disclosure can include at least one of non-volatile 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), magnetoresistive 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 by the present disclosure 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 thereto. The processor involved in each embodiment provided by the present disclosure 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, etc., but are not limited thereto.

[0157] 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 specification.

[0158] The above-described embodiments only express several implementation methods of the present disclosure, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present invention. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present disclosure, and these all belong to the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the attached claims.

Claims

1. A method for optimizing the maintenance process of a distribution network, characterized in that: include: Identify the device object selected by the user in the SVG feeder diagram to obtain identification information, wherein the identification information at least includes a target device and a target element; Extracting the identification information to obtain extracted information, wherein the extracted information includes device parameters of the target device and a component model of the target component; generating a recognition object text based on the recognition information and the extraction information; A target maintenance list is obtained based on the identified object text and a preset safety measure rule library.

2. The method according to claim 1, characterized in that The step of identifying the device object selected by the user in the SVG feeder diagram to obtain identification information includes: Get the device object selected by the user in the SVG feeder diagram; Processing the device object based on a preset deep learning model to obtain a target device, a target element, and a target connection relationship; The identification information is obtained based on the target device, the target element and the target connection relationship.

3. The method according to claim 1, characterized in that The step of obtaining a target maintenance list based on the identified object text and a preset safety measure rule base includes: Matching the identified object text with a preset security measure rule library to obtain a target security measure; Identify the type of measure corresponding to the target security measure; A target maintenance list is obtained based on the target safety measure and the corresponding type of measure.

4. The method according to claim 3, characterized in that: The step of obtaining a target maintenance list based on the target safety measure and the corresponding measure type includes: Converting the target security measure into an output statement based on the measure type data; The output statement is written into a preset distribution network maintenance list to obtain a target maintenance list.

5. The method according to claim 1, characterized in that Also includes: Determine the current approval node, current node personnel, and approval time corresponding to the target maintenance order; In response to the approval time not being reached and the target maintenance order not being approved, regularly sending approval reminder information to the current node personnel of the current approval node; In response to the approval time not being reached and the target maintenance order having been approved, stopping sending the approval prompt information to the current node personnel of the current approval node.

6. The method according to claim 1, characterized in that Also includes: Determine a final submission time of the target maintenance order, and determine a target submission time based on the final submission time; In response to reaching the target submission time, a submission prompt message is sent to the current node personnel corresponding to the target maintenance order.

7. A distribution network maintenance process optimization device, characterized in that: The device comprises: An information identification module, used to identify the device object selected by the user in the SVG feeder diagram to obtain identification information, wherein the identification information at least includes a target device and a target element; An information extraction module, used to extract the identification information to obtain extracted information, wherein the extracted information includes device parameters of the target device and a component model of the target component; A text generation module, used to generate a recognition object text based on the recognition information and the extraction information; The text matching module is used to obtain a target maintenance list based on the identified object text and a preset safety measure rule library.

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.

Images