Power equipment operation inspection method based on power equipment operation inspection intelligent agent and related device

Abstract

The invention discloses a power equipment operation inspection method based on a power equipment operation inspection agent and a related device, and the method comprises the steps: obtaining a power equipment operation inspection task, and obtaining multi-modal data according to the power equipment operation inspection task; splitting the power equipment operation and inspection task based on a power equipment operation and inspection large model to form an equipment operation and inspection thinking chain; the power equipment operation inspection task is arranged on the basis of the equipment operation inspection thinking chain, the power equipment operation inspection task is completed according to the arrangement result through the multi-modal data, the equipment state evaluation and fault diagnosis result is obtained, and the method, the system, the equipment and the medium can accurately evaluate the state of the power equipment through the multi-source monitoring data.

Description

Technical Field

[0001] The present invention belongs to the technical field of operation and maintenance of power equipment, and relates to a power equipment operation and maintenance method and related device based on a power equipment operation and inspection intelligent agent. Background Art

[0002] With the accelerated promotion of the construction of a new power system, the scale of power main equipment continues to climb, the complexity of operation and maintenance technology increases rapidly, the demand for lean management of equipment is continuously improving, and equipment status analysis and efficient disposal face severe challenges. It is urgent to adopt advanced technologies such as artificial intelligence to empower front-line operation and inspection operations and improve the intelligent level of equipment status control and abnormal disposal. At present, the power equipment status control and abnormal disposal adopt a combination of state assessment rule algorithms and manual experience supplement judgment, and for difficult cases, a consultation and analysis mode of expert teams at all levels is adopted, which has many problems in practical applications.

[0003] For example, state control and abnormal disposal relying on expert experience face practical problems such as long manual analysis cycles, incomplete evaluation dimensions, low evaluation frequencies, limited carrying capacity of operation and maintenance teams, and insufficient reserve of expert talents. It is difficult to establish an analysis model with the ability of autonomous diagnostic logical reasoning and cannot meet the need for real-time analysis of power equipment status by integrating existing diagnostic knowledge and expert experience. There are many multi-modal data such as power equipment time series, images, and texts, large differences between modalities, inconsistent monitoring periods, difficult information collection and analysis, and relatively few fault cases, which cannot support the training of traditional state assessment rule algorithms, and it is difficult to build an equipment status intelligent assessment model facing multi-modal data and with cross-modal cognitive ability, and cannot meet the need for accurate assessment of power equipment status based on multi-source monitoring data.

[0004] To solve these problems, the industry has been exploring new technical means. In recent years, large models have made remarkable developments in the field of artificial intelligence, providing new ideas for the intelligent operation and maintenance of power equipment. Summary of the Invention

[0005] The purpose of the present invention is to overcome the above-mentioned disadvantages of the prior art, and provide a power equipment operation and maintenance method and related device based on a power equipment operation and inspection intelligent agent, which can accurately evaluate the status of power equipment through multi-source monitoring data.

[0006] To achieve the above object, the present invention discloses a power equipment operation and maintenance method based on a power equipment operation and inspection intelligent agent, including:

[0007] Obtain a power equipment operation and maintenance task, and obtain multi-modal data according to the power equipment operation and maintenance task;

[0008] Split the power equipment operation and maintenance tasks based on the power equipment operation and maintenance large model to form an equipment operation and maintenance thinking chain;

[0009] Arrange the power equipment operation and maintenance tasks based on the equipment operation and maintenance thinking chain, utilize the multi-modal data, and complete the power equipment operation and maintenance tasks according to the arrangement result to obtain the equipment status evaluation and fault diagnosis result.

[0010] A further improvement of the power equipment operation and maintenance method based on the power equipment operation and maintenance intelligent agent of the present invention lies in:

[0011] Further, after obtaining the equipment status evaluation and fault diagnosis result, it further includes:

[0012] Input the equipment status evaluation and fault diagnosis result into the power equipment operation and maintenance large model to obtain a comprehensive analysis report of the power equipment.

[0013] Further, after obtaining the comprehensive analysis report of the power equipment, it further includes:

[0014] According to the comprehensive analysis report of the power equipment, specify the maintenance strategy, plan and work permit of the power equipment.

[0015] Further, the process of obtaining the power equipment operation and maintenance tasks and obtaining multi-modal data according to the power equipment operation and maintenance tasks is as follows:

[0016] Obtain the power equipment operation and maintenance tasks, understand the power equipment operation and maintenance tasks to obtain the type of power equipment to be operated and maintained and the type of operation and maintenance tasks;

[0017] According to the type of power equipment to be operated and maintained and the type of operation and maintenance tasks, obtain multi-modal data.

[0018] Further, the process of splitting the power equipment operation and maintenance tasks based on the power equipment operation and maintenance large model to form an equipment operation and maintenance thinking chain is as follows:

[0019] Obtain power equipment operation and maintenance knowledge and power equipment fault cases;

[0020] Use the power equipment operation and maintenance knowledge and power equipment fault cases to train the general large model to obtain the power equipment operation and maintenance large model;

[0021] Input the power equipment operation and maintenance tasks into the power equipment operation and maintenance large model to obtain an equipment operation and maintenance thinking chain.

[0022] The present invention discloses a power equipment operation and maintenance system based on a power equipment operation and maintenance intelligent agent, including:

[0023] A task acceptance unit, configured to obtain power equipment operation and maintenance tasks, and obtain multimodal data according to the power equipment operation and maintenance tasks;

[0024] A task splitting unit, configured to split the power equipment operation and maintenance tasks based on a power equipment operation and maintenance large model to form an equipment operation and maintenance thought chain;

[0025] A task scheduling unit, configured to schedule the power equipment operation and maintenance tasks based on the equipment operation and maintenance thought chain, utilize the multimodal data, and complete the power equipment operation and maintenance tasks according to the scheduling result to obtain equipment status evaluation and fault diagnosis results.

[0026] A further improvement of the power equipment operation and maintenance system based on a power equipment operation and maintenance agent according to the present invention lies in:

[0027] Further, it further includes:

[0028] A comprehensive analysis unit, configured to input the equipment status evaluation and fault diagnosis results into the power equipment operation and maintenance large model to obtain a comprehensive analysis report of the power equipment.

[0029] Further, it further includes:

[0030] An overhaul planning unit, configured to specify an overhaul strategy, plan, and work ticket for the power equipment according to the comprehensive analysis report of the power equipment.

[0031] Further, the task acceptance unit includes:

[0032] A power equipment operation and maintenance task understanding module, configured to obtain power equipment operation and maintenance tasks, understand the power equipment operation and maintenance tasks, and obtain the type of power equipment to be operated and maintained and the type of operation and maintenance tasks;

[0033] A power equipment multimodal data input module, configured to obtain multimodal data according to the type of power equipment to be operated and maintained and the type of operation and maintenance tasks.

[0034] Further, the task splitting unit includes:

[0035] A power equipment operation and maintenance large model training module, configured to obtain power equipment operation and maintenance knowledge and power equipment fault cases, and use the power equipment operation and maintenance knowledge and power equipment fault cases to train a general large model to obtain a power equipment operation and maintenance large model;

[0036] A power equipment operation and maintenance task splitting module, configured to input the power equipment operation and maintenance tasks into the power equipment operation and maintenance large model to obtain an equipment operation and maintenance thought chain.

[0037] The present invention discloses a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the power equipment operation and maintenance method based on the power equipment operation and maintenance intelligent agent are implemented.

[0038] The present invention discloses a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the power equipment operation and maintenance method based on the power equipment operation and maintenance intelligent agent are implemented.

[0039] The present invention has the following beneficial effects:

[0040] When the power equipment operation and maintenance method based on the power equipment operation and maintenance intelligent agent and related devices of the present invention are specifically operated, the power equipment operation and maintenance task is split based on the power equipment operation and maintenance large model to form an equipment operation and maintenance thinking chain; the power equipment operation and maintenance task is arranged based on the equipment operation and maintenance thinking chain to realize the arrangement of each sub-task, and then the multi-modal data is used to complete the power equipment operation and maintenance task according to the arrangement result, obtain the equipment status evaluation and fault diagnosis result, and achieve the purpose of accurately evaluating the power equipment status with multi-source monitoring data. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The specification drawings forming a part of the present invention are used to provide a further understanding of the present invention. The schematic embodiments and descriptions of the present invention are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0042] Figure 1 is the system structure diagram of the present invention;

[0043] Figure 2 is the thinking chain diagram of the converter transformer status evaluation and fault diagnosis in the present invention;

[0044] Figure 3 is the flow chart of the converter transformer status evaluation and fault diagnosis based on the power equipment operation and maintenance large model scheduling and arrangement in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0046] In the description of the present invention, it should be understood that the terms "include" and "comprise" indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0047] It should also be understood that the terms used in the specification of the present invention are merely for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.

[0048] It should be further understood that the term "and / or" used in the specification of the present invention and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the present invention, the character " / " generally indicates an "or" relationship between the contextually related objects.

[0049] It should be understood that although terms such as first, second, third, etc. may be used in the embodiments of the present invention to describe preset ranges, etc., these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from each other. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0050] Depending on the context, the word "if" as used herein can be interpreted as "when" or "while" or "in response to determining" or "in response to detecting". Similarly, depending on the context, the phrase "if determined" or "if detected (stated condition or event)" can be interpreted as "when determined" or "in response to determining" or "when detected (stated condition or event)" or "in response to detecting (stated condition or event)".

[0051] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components in the accompanying drawings described and shown in the embodiments of the present invention can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed present invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0052] Schematic diagrams of various structures according to the disclosed embodiments of the present invention are shown in the accompanying drawings. These figures are not drawn to scale, where for the purpose of clear expression, some details are enlarged and some details may be omitted. The shapes of various regions and layers shown in the figures and their relative sizes and positional relationships are merely exemplary. In practice, there may be deviations due to manufacturing tolerances or technical limitations, and those skilled in the art can design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0053] Embodiment 1

[0054] The power equipment operation and maintenance method based on the power equipment operation and maintenance intelligent agent of the present invention includes:

[0055] 1) Obtain the power equipment operation and maintenance task, and obtain multimodal data according to the power equipment operation and maintenance task;

[0056] Specifically, obtain the power equipment operation and maintenance task, understand the power equipment operation and maintenance task to obtain the type of the power equipment to be inspected and the type of the operation and maintenance task; according to the type of the power equipment to be inspected and the type of the operation and maintenance task, obtain multimodal data.

[0057] 2) Split the power equipment operation and maintenance task based on the power equipment operation and maintenance large model to form an equipment operation and maintenance thought chain;

[0058] Specifically, obtain power equipment operation and maintenance knowledge and power equipment failure cases; use the power equipment operation and maintenance knowledge and power equipment failure cases to train the general large model to obtain the power equipment operation and maintenance large model; input the power equipment operation and maintenance task into the power equipment operation and maintenance large model to obtain the equipment operation and maintenance thought chain.

[0059] 3) Arrange the power equipment operation and maintenance task based on the equipment operation and maintenance thought chain, use the multimodal data, and complete the power equipment operation and maintenance task according to the arrangement result to obtain the equipment status evaluation and fault diagnosis result;

[0060] 4) Input the evaluation results of the device status and the fault diagnosis results into the large model for operation and maintenance of power equipment to obtain a comprehensive analysis report of the power equipment;

[0061] 5) Specify the maintenance strategies, plans, and work tickets for the power equipment according to the comprehensive analysis report of the power equipment.

[0062] Embodiment 2

[0063] Reference Figure 1 , the power equipment operation and maintenance system based on the power equipment operation and maintenance intelligent agent of the present invention includes the following steps:

[0064] A task acceptance unit, configured to obtain the device operation and maintenance task and obtain multi-modal data according to the device operation and maintenance task;

[0065] A task splitting unit, configured to split the device operation and maintenance task based on the large model for operation and maintenance of power equipment to form a device operation and maintenance thinking chain;

[0066] A task scheduling unit, configured to schedule the device operation and maintenance task based on the device operation and maintenance thinking chain to obtain the evaluation results of the device status and the fault diagnosis results;

[0067] A comprehensive analysis unit, configured to comprehensively analyze the evaluation results of the device status and the fault diagnosis results based on the large model for operation and maintenance of power equipment to obtain a comprehensive analysis report;

[0068] A maintenance planning unit, configured to formulate the device maintenance strategies, plans, and work tickets according to the comprehensive analysis report.

[0069] Specifically, the task acceptance unit includes:

[0070] A power equipment operation and maintenance task understanding module, configured to understand the device operation and maintenance task, obtain the type of the device to be inspected and the type of the operation and maintenance task, the type of the inspected device includes transformers, switches, and circuit breakers, and the type of the operation and maintenance task includes status evaluation and fault diagnosis;

[0071] A power equipment multi-modal data input module, configured to determine the multi-modal data to be obtained according to the type of the device to be inspected and the type of the operation and maintenance task. For example, when performing status evaluation and fault diagnosis on a transformer, the multi-modal data to be obtained includes oil chromatogram time series, partial discharge pattern, infrared image, vibration acoustic fingerprint, oil temperature and winding temperature time series, core grounding current time series, and infrared monitoring pattern.

[0072] In this embodiment, the task splitting unit includes:

[0073] The power equipment operation and maintenance large model training module is used to train a general large model using power equipment operation and maintenance knowledge and power equipment fault cases to obtain a power equipment operation and maintenance large model. Among them, the power equipment operation and maintenance knowledge includes equipment professional books and teaching materials, substation / converter station regulations, equipment analysis reports, equipment test reports, equipment operation and maintenance rules and regulations, equipment maintenance strategies, equipment maintenance plans, equipment maintenance work tickets, and fault handling plans; power equipment fault cases include labeled and unlabeled samples of transformers, switches, and circuit breakers.

[0074] The power equipment operation and maintenance task splitting module is used to input the equipment operation and maintenance task into the power equipment operation and maintenance large model to form an equipment operation and maintenance thinking chain. Among them, the power equipment operation and maintenance large model has learned knowledge such as power equipment operation and maintenance knowledge and power equipment fault cases, and has capabilities such as context understanding, polysemy disambiguation, context adaptation and generation, reasoning and logical understanding, and complex task planning; the equipment operation and maintenance thinking chain is used for the planning of the entire process of the equipment task, including task input, data selection, item-by-item diagnosis, similarity item fusion, conflict item exclusion, and result summary.

[0075] In this embodiment, the task arrangement unit includes:

[0076] The power equipment operation and maintenance thinking chain construction module is used to complete the task input and data selection process of the equipment operation and maintenance thinking chain. Among them, the corresponding multimodal data is selected as the input according to the operation and maintenance task.

[0077] The power equipment operation and maintenance scheduling and arrangement module is used to complete the item-by-item diagnosis process of the equipment operation and maintenance thinking chain to obtain the final equipment status evaluation and fault diagnosis results. Specifically, according to different item-by-item diagnosis requirements, the scheduling and arrangement of professional models, diagnostic knowledge, and evaluation guideline standards are used to complete the task; then, similarity item fusion and conflict item exclusion processing are performed on the item-by-item diagnosis. Among them, the similarity item fusion is to fuse the items that jointly represent the same state or fault, and the conflict item exclusion is to introduce more other item-by-item diagnosis results to exclude the items with contradictory representations; finally, the item-by-item diagnosis results are summarized to obtain the final equipment status evaluation and fault diagnosis results.

[0078] The comprehensive analysis unit includes:

[0079] Taking the equipment status evaluation and fault diagnosis results as the input of the power equipment operation and maintenance large model, generating and outputting a comprehensive analysis report on equipment operation and maintenance according to the text generation function of the power equipment operation and maintenance large model, wherein the equipment status evaluation and fault diagnosis results are the output of the task arrangement unit; the power equipment operation and maintenance large model is obtained in the task splitting unit. The power equipment operation and maintenance large model has learned knowledge such as various equipment analysis reports and equipment test reports, and has capabilities such as information integration, adaptive generation, continuous learning and optimization, and can generate a comprehensive analysis report on the equipment according to the equipment status evaluation and fault diagnosis results; the comprehensive analysis report on the equipment includes an overview of the status and faults, data investigation, status evaluation, fault diagnosis, etc.

[0080] The maintenance planning unit includes:

[0081] Inputting the comprehensive analysis report into the power equipment operation and maintenance large model. The power equipment operation and maintenance large model, based on the content such as the overview of the status and faults, data investigation, status evaluation, and fault diagnosis in the comprehensive analysis report, through the enhanced retrieval function, obtains similar maintenance strategies and maintenance plans from the historical maintenance strategy and maintenance plan library, and generates a maintenance strategy and a maintenance plan for the target equipment, as well as the corresponding on-site work tickets for the maintenance strategy and the maintenance plan through the text generation function.

[0082] Embodiment 3

[0083] This embodiment takes the evaluation and diagnosis tasks of the pole II low-end Y / D phase A converter transformer of a converter station as an example, specifically including a task receiving unit, the task splitting unit, a task arrangement unit, a comprehensive analysis unit, and a maintenance planning unit:

[0084] The task receiving unit is used to receive the task of analyzing the health status and fault conditions of the pole II low-end Y / D phase A converter transformer.

[0085] The task receiving unit includes:

[0086] The task understanding module is used to understand the task, obtain that the target equipment is the pole II low-end Y / D phase A converter transformer, and the operation and maintenance task is status evaluation and fault diagnosis;

[0087] The multimodal data input module is used to determine the multimodal data to be acquired according to the target equipment and the operation and maintenance task. The multimodal data required for the status evaluation and fault diagnosis tasks of the pole II low-end Y / D phase A converter transformer include the oil chromatogram monitoring data of the converter transformer, the partial discharge monitoring data of the converter transformer, the visual inspection data of the appearance of the converter transformer, the mechanical vibration sound pattern of the converter transformer, the status data of the converter transformer (oil temperature, winding temperature, and core grounding current), and the infrared monitoring data of the converter transformer.

[0088] The task splitting unit includes:

[0089] A power equipment operation and maintenance large model training module, which is used to train a general large model by using existing converter transformer books and teaching materials, maintenance regulations, fault analysis reports, test reports, operation and maintenance rules and regulations, maintenance strategies, and disposal plans to obtain a power equipment operation and maintenance large model;

[0090] A power equipment operation and maintenance task splitting module, which is used to input the state evaluation and fault diagnosis tasks of the converter transformer at the low-end Y / D phase A of pole II into the power equipment operation and maintenance large model to form an equipment operation and maintenance thinking chain. Specifically, the process of inputting the state evaluation and fault diagnosis tasks of the converter transformer at the low-end Y / D phase A of pole II, selecting multi-modal data of the converter transformer at the low-end Y / D phase A of pole II, conducting multiple sub-diagnoses on the multi-modal data, fusing similar items and excluding conflicting items, and summarizing the sub-diagnosis results of the converter transformer is as Figure 2 shown.

[0091] Among them, in the process of fusing similar items and excluding conflicting items, the conclusions of each sub-diagnosis result are processed, specifically including: 1) Judging the fault type, solid insulation fault, and moisture ingress fault based on oil chromatogram diagnosis; 2) Combining the oil chromatogram and partial discharge diagnosis results to judge whether it is partial discharge; 3) Judging whether there are appearance defects based on the visual diagnosis result; 4) Judging whether there is a mechanical vibration fault based on the mechanical characteristic diagnosis; 5) Combining the oil chromatogram, infrared, oil temperature, and winding to judge whether there is an overheating fault. Then, based on the above 5 judgment results, judge the health status of the converter transformer; Judge whether the converter transformer involves an overheating fault according to "judging the fault type, solid insulation fault, and moisture ingress fault based on oil chromatogram diagnosis" and "combining the oil chromatogram, infrared, oil temperature, and winding to judge whether there is an overheating fault"; Judge whether the converter transformer involves a discharge fault according to "judging the fault type, solid insulation fault, and moisture ingress fault based on oil chromatogram diagnosis" and "combining the oil chromatogram and partial discharge diagnosis results to judge whether it is partial discharge"; Judge whether the converter transformer involves a mechanical fault according to "judging whether there are appearance defects based on the visual diagnosis result" and "judging whether there is a mechanical vibration fault based on the mechanical characteristic diagnosis". Finally, summarize the sub-diagnosis results of the converter transformer.

[0092] The task scheduling unit includes:

[0093] A power equipment operation and maintenance thinking chain construction module, which is used to input the selected multi-modal data of the converter transformer at the low-end Y / D phase A of pole II into the equipment operation and maintenance thinking chain;

[0094] The working process of the power equipment operation and maintenance scheduling and arrangement module is:

[0095] The professional small model for scheduling and orchestration, diagnostic knowledge, and evaluation guidelines standards have completed the sub - diagnosis of the Phase - II low - end Y / D Converter Transformer, Phase A, as follows Figure 3 as shown, specifically including:

[0096] When conducting oil chromatography diagnosis, first call the DL / T 722 judgment guidelines to conduct the three - ratio judgment, and obtain the diagnostic conclusion of "the three - ratio code is 010, judged as there is partial discharge"; then call the DL / T 722 judgment guidelines and expert experience to judge the solid insulation and moisture - related faults, and obtain the diagnostic conclusion that there is no solid insulation fault and it may involve moisture - related faults; then call the oil chromatography differential evaluation model to conduct differential evaluation on the oil chromatography, and obtain the diagnostic conclusion of "H2 does not exceed the threshold"; finally, call the correlation evaluation model to judge the correlation between gas and load, and get the diagnostic conclusion of "hydrogen and methane increase synchronously, and the correlation between gas and load is low".

[0097] When conducting partial discharge diagnosis, call the partial discharge recognition model based on YOLO and the partial discharge recognition model based on pattern recognition to judge the type of partial discharge, and obtain "it is judged that there may be discharge based on the PRPD pattern", and then call the interference discrimination model based on pattern recognition to judge whether it is external interference, and get the conclusion of "exclude external partial discharge interference".

[0098] When conducting visual diagnosis, call the device appearance recognition model based on YOLO to recognize the device appearance, and obtain the conclusion of "the appearance is normal".

[0099] When conducting mechanical vibration diagnosis, call the time - series acoustic fingerprint recognition model to recognize the vibration acoustic fingerprint, and obtain the conclusion of "the vibration is normal".

[0100] When conducting status data diagnosis, call the GB1094.2 judgment standard to judge the oil temperature and winding temperature, and obtain the conclusion of "the oil temperature and winding temperature are normal"; call the Q / GDW1168 standard and the differential evaluation model of the grounding current of the core clamp to judge the grounding current of the core clamp, and obtain the conclusion that the core clamp is normal.

[0101] When conducting infrared diagnosis, call the DL / T 664 standard and the infrared diagnosis model to judge the operating temperature, and obtain "the operating temperature of the device is normal".

[0102] After obtaining the sub - diagnosis results, carry out the fusion of similar items and the exclusion of conflicting items, specifically including:

[0103] Based on the conclusions of the comprehensive oil chromatogram sub - diagnosis, namely "the three - ratio code is 010, indicating the presence of partial discharge", "no solid insulation fault, possibly involving moisture - related faults", "H2 does not exceed the threshold", and "synchronous growth of hydrogen and methane, low correlation between gas and load", the conclusion of "there is partial discharge and possibly insulation moisture - related faults" is obtained. At the same time, according to the conclusion of the partial discharge sub - diagnosis of "excluding external partial discharge interference", the conclusion of "there is partial discharge and possibly insulation moisture - related faults" is further confirmed.

[0104] Based on the conclusion of the comprehensive oil chromatogram sub - diagnosis that "the three - ratio code is 010, indicating the presence of partial discharge", the conclusion of the status data sub - diagnosis that "the oil temperature and winding temperature are normal", and the conclusion of the infrared sub - diagnosis that "the equipment operating temperature is normal", the conclusion of "excluding overheating faults" is obtained.

[0105] Since there is no conflict between "there is partial discharge and possibly insulation moisture - related faults" and "excluding overheating faults", there is no need to perform exclusion.

[0106] After completing the fusion of similar items and the exclusion of conflicting items, the results of the sub - diagnosis are summarized to obtain the result of the task of "status evaluation and fault diagnosis of the pole II low - end Y / D A - phase converter transformer": "Status evaluation: attention status; Fault diagnosis: internal insulation moisture - related discharge".

[0107] The working process of the comprehensive analysis unit is as follows:

[0108] Take the status evaluation and fault diagnosis results of the pole II low - end Y / D A - phase converter transformer as the input of the power equipment operation and maintenance large - model, and use the text generation function of the power equipment operation and maintenance large - model to generate and output the comprehensive analysis report of the pole II low - end Y / D A - phase converter transformer operation and maintenance.

[0109] The power equipment operation and maintenance large - model has learned various types of knowledge such as historical converter transformer fault analysis reports, comprehensive analysis reports, on - site test reports, and inspection reports, and has capabilities such as information integration, adaptive generation, continuous learning, and optimization.

[0110] The power equipment operation and maintenance large - model generates a comprehensive analysis report based on the status evaluation and fault diagnosis results, including the status and fault overview, data investigation situation, status evaluation situation, fault diagnosis situation, etc. of the pole II low - end Y / D A - phase converter transformer.

[0111] The working process of the maintenance planning unit is as follows:

[0112] Taking the comprehensive analysis report of the pole II low-end Y / D phase A commutation transformer as the input of the power equipment operation and maintenance large model, the power equipment operation and maintenance large model obtains similar maintenance strategies and maintenance plans from the historical maintenance strategy and maintenance plan library through an enhanced retrieval function according to the status and fault overview, data investigation, status evaluation, fault diagnosis, etc. of the comprehensive analysis report of the pole II low-end Y / D phase A commutation transformer.

[0113] Referring to the similar maintenance strategies and maintenance plans, the power equipment operation and maintenance large model generates maintenance strategies and maintenance plans for the faults of the pole II low-end Y / D phase A commutation transformer.

[0114] The power equipment operation and maintenance large model generates a field operation work ticket for the faults of the pole II low-end Y / D phase A commutation transformer according to the field work ticket formulation process.

[0115] The division of modules in the embodiments of the present application is illustrative, only a logical function division. In actual implementation, there may be other division methods. In addition, in each embodiment of the present application, each functional module may be integrated in a processor, may also exist physically alone, or two or more modules may be integrated in one module. The above integrated modules may be implemented in the form of hardware or in the form of software functional modules.

[0116] Embodiment 4

[0117] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the power equipment operation and maintenance method based on the power equipment operation and maintenance intelligent agent. For example, it includes: obtaining a power equipment operation and maintenance task, and obtaining multimodal data according to the power equipment operation and maintenance task; splitting the power equipment operation and maintenance task based on the power equipment operation and maintenance large model to form an equipment operation and maintenance thinking chain; arranging the power equipment operation and maintenance task based on the equipment operation and maintenance thinking chain, using the multimodal data, and completing the power equipment operation and maintenance task according to the arrangement result to obtain equipment status evaluation and fault diagnosis results. Among them, the memory may include internal memory, such as high-speed random access memory, and may also include non-volatile memory, such as at least one disk memory, etc.; the processor, network interface, and memory are interconnected through an internal bus, which may be an Industry Standard Architecture bus, a Peripheral Component Interconnect Standard bus, an Extended Industry Standard Architecture bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. The memory is used to store programs. Specifically, the program may include program code, and the program code includes computer operation instructions. The memory may include internal memory and non-volatile memory, and provides instructions and data to the processor.

[0118] Embodiment 5

[0119] A computer-readable storage medium stores a computer program which, when executed by a processor, implements the steps of the power equipment operation and maintenance method based on the power equipment operation and maintenance intelligent agent. For example, it includes: obtaining a power equipment operation and maintenance task, and obtaining multi-modal data according to the power equipment operation and maintenance task; splitting the power equipment operation and maintenance task based on a power equipment operation and maintenance large model to form an equipment operation and maintenance thought chain; arranging the power equipment operation and maintenance task based on the equipment operation and maintenance thought chain, using the multi-modal data, and completing the power equipment operation and maintenance task according to the arrangement result to obtain an equipment status evaluation and a fault diagnosis result. Specifically, the computer-readable storage medium includes but is not limited to, for example, volatile memory and / or non-volatile memory. The volatile memory may include random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include read-only memory (ROM), hard disk, flash memory, optical disc, magnetic disk, etc.

[0120] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) containing computer-usable program code.

[0121] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the specified function in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0122] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device implements the specified function in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0123] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, so that a series of operation steps are executed on the computer or other programmable apparatus to produce a computer-implemented process, and thus the instructions executed on the computer or other programmable apparatus provide steps for realizing the functions specified in one process or a plurality of processes and / or one block or a plurality of blocks. Figure 1 one process or a plurality of processes and / or Figure 1 steps for realizing the functions specified in one block or a plurality of blocks.

[0124] After considering the specification and the disclosure of the invention, those skilled in the art will readily conceive of other embodiments of the invention. This application is intended to cover any variations, uses, or adaptations of the invention, which follow the general principles of the invention and include known common knowledge or conventional technical means in the technical field not disclosed by the invention. The specification and the embodiments are only regarded as exemplary, and the true scope and spirit of the invention are pointed out by the following claims.

[0125] It should be understood that the present invention is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present invention is only limited by the appended claims.

[0126] The above are only the preferred embodiments of the present invention, and do not impose any limitation on the present invention. Any simple modifications, changes, and equivalent structural changes made to the above embodiments according to the technical essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. A method for power equipment operation and inspection based on a power equipment operation and inspection intelligent agent, characterized in that: include: Acquire an operation and inspection task of electric power equipment, and acquire multimodal data according to the operation and inspection task of electric power equipment; Based on the large model of power equipment operation and inspection, the power equipment operation and inspection tasks are split to form a thinking chain of equipment operation and inspection; The power equipment operation and maintenance tasks are arranged based on the equipment operation and maintenance thinking chain, and the power equipment operation and maintenance tasks are completed according to the arrangement results using the multimodal data to obtain equipment status evaluation and fault diagnosis results.

2. The power equipment operation and inspection method based on the power equipment operation and inspection intelligent agent according to claim 1 is characterized in that: After obtaining the equipment status evaluation and fault diagnosis results, the following steps are further included: The equipment status evaluation and fault diagnosis results are input into the power equipment operation and inspection large model to obtain a comprehensive analysis report of the power equipment.

3. The power equipment operation and inspection method based on the power equipment operation and inspection intelligent agent according to claim 2 is characterized in that: The comprehensive analysis report of the power equipment also includes: Based on the comprehensive analysis report of the power equipment, a maintenance strategy, plan and work ticket for the power equipment are specified.

4. The power equipment operation and inspection method based on the power equipment operation and inspection intelligent agent according to claim 1, characterized in that: The process of obtaining the power equipment operation and inspection task and obtaining multimodal data according to the power equipment operation and inspection task is as follows: Acquire the power equipment operation and inspection task, understand the power equipment operation and inspection task, and obtain the type of the power equipment to be operated and inspected and the type of the operation and inspection task; Multimodal data is acquired according to the type of the electric power equipment to be inspected and the type of the inspection task.

5. The power equipment operation and inspection method based on the power equipment operation and inspection intelligent agent according to claim 1, characterized in that: The process of splitting the power equipment operation and inspection tasks based on the power equipment operation and inspection big model to form the equipment operation and inspection thinking chain is as follows: Acquire knowledge on power equipment operation and inspection and power equipment failure cases; The power equipment operation and inspection knowledge and power equipment failure cases are used to train a general multi-model to obtain a power equipment operation and inspection large model; The power equipment operation and maintenance tasks are input into the power equipment operation and maintenance large model to obtain the equipment operation and maintenance thinking chain.

6. A power equipment operation and inspection system based on a power equipment operation and inspection intelligent agent, characterized in that: include: A task accepting unit, used to obtain an operation and inspection task of an electric power equipment, and obtain multimodal data according to the operation and inspection task of the electric power equipment; A task splitting unit, used for splitting the power equipment operation and inspection tasks based on the power equipment operation and inspection large model to form an equipment operation and inspection thinking chain; The task scheduling unit is used to schedule the power equipment operation and maintenance tasks based on the equipment operation and maintenance thinking chain, use the multimodal data, complete the power equipment operation and maintenance tasks according to the scheduling results, and obtain equipment status evaluation and fault diagnosis results.

7. The power equipment operation and inspection system based on the power equipment operation and inspection intelligent agent according to claim 6 is characterized in that: Also includes: The comprehensive analysis unit is used to input the equipment status evaluation and fault diagnosis results into the power equipment operation and inspection large model to obtain a comprehensive analysis report of the power equipment.

8. The power equipment operation and inspection system based on the power equipment operation and inspection intelligent agent according to claim 7 is characterized in that: Also includes: The maintenance planning unit is used to specify the maintenance strategy, plan and work ticket of the power equipment according to the comprehensive analysis report of the power equipment.

9. The power equipment operation and inspection system based on the power equipment operation and inspection intelligent agent according to claim 6, characterized in that: The task accepting unit comprises: The power equipment operation and inspection task understanding module is used to obtain the power equipment operation and inspection task, understand the power equipment operation and inspection task, and obtain the type of the power equipment to be operated and inspected and the type of the operation and inspection task; The electric power equipment multimodal data input module is used to obtain multimodal data according to the type of the electric power equipment to be inspected and the type of the inspection task.

10. The power equipment operation and inspection system based on the power equipment operation and inspection intelligent agent according to claim 6, characterized in that: The task splitting unit comprises: The power equipment operation and inspection large model training module is used to obtain power equipment operation and inspection knowledge and power equipment failure cases, and use the power equipment operation and inspection knowledge and power equipment failure cases to train a general multi-model to obtain a power equipment operation and inspection large model; The power equipment operation and maintenance task splitting module is used to input the power equipment operation and maintenance tasks into the power equipment operation and maintenance large model to obtain the equipment operation and maintenance thinking chain.

11. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the power equipment operation and inspection method based on the power equipment operation and inspection intelligent agent as described in any one of claims 1 to 5 are implemented.

12. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the power equipment operation and inspection method based on the power equipment operation and inspection intelligent agent as described in any one of claims 1 to 5 are implemented.

Images