A method for normalizing operation and maintenance alarm data of a QKD device and related equipment
Patent Information
- Application Number
- CN202610706566.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-21
- Publication Date
- 2026-10-13
AI Technical Summary
[0007]本发明目的在于克服现有技术中的不足,提供了一种面向QKD设备的运维告警数据规范化处理方法及相关设备,该方法解决现有技术中QKD告警数据来源分散、格式异构、处理依赖人工、通用方案适配性差、处理流程无闭环、输出数据质量无法保证的核心问题,为规模化QKD网络的智能化运维提供统一、可靠、高质量的数据基础
本发明提出的一种面向QKD设备的运维告警数据规范化处理方法及相关设备,针对量子密钥分发网络规模化部署过程中,运维告警数据来源分散、格式异构、字段定义无统一标准、处理流程高度依赖人工、现有通用方案无法适配QKD 专属运维场景的核心行业痛点,提供了一套全流程、闭环式的 QKD 设备运维告警数据规范化处理方案。首先通过预先建立适配QKD设备运维场景的专属告警数据标准字段体系与标准化告警模板,为多源异构数据的统一处理确立了核心标准;通过同步采集设备自动化生成与人工录入的全量告警数据,完整覆盖 QKD 运维全场景的告警信息来源;通过标准化预处理实现原始数据的规整化,为后续解析提供高质量输入;依托预构建的 QKD 设备基础信息库完成结构化字段抽取,实现了 QKD专属告警内容的精准识别与提取;通过预设的标准化映射规则完成字段补全与归一化处理,最终生成格式统一、表述一致、字段完整的标准化告警记录并统一入库存储。本方案从根源上解决了QKD运维告警数据无法跨厂家、跨系统统一查询、比对与分析的核心问题,替代了传统人工逐条整理的低效处理方式,实现了 QKD 运维告警数据的全流程自动化、标准化处理,为规模化 QKD 网络的全局运维管控、故障定位与智能化运维体系建设提供了统一、可靠、高质量的数据基础。
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Abstract
Description
Technical Field
[0001] This invention relates to a method and related equipment for the standardized processing of operation and maintenance alarm data for QKD devices, belonging to the field of quantum communication network data processing and intelligent operation and maintenance. Background Technology
[0002] As Quantum Key Distribution (QKD) networks gradually move from experimental environments to practical deployments, network scale continues to expand, and the number of devices increases, leading to a surge in alarm records, inspection records, status logs, and fault handling information generated during operation. During continuous operation, QKD devices generate massive amounts of maintenance alarm-related data, including device operation logs, real-time status alarms, records exported from network management systems, on-site inspection records, and fault handling records. This data has three core characteristics: First, its sources are diverse, including both structured / semi-structured data automatically generated by devices and network management systems, as well as unstructured data manually entered; second, its formats are heterogeneous, with different manufacturers' devices and network management systems having completely different definitions, naming, and formats for alarm fields, resulting in multiple different expressions for the same type of fault alarm; and third, its quality is inconsistent, with a large amount of raw data exhibiting problems such as mixed use of Chinese and English, missing fields, ambiguous location descriptions, and non-standard formats. Currently, the processing of the aforementioned alarm data in QKD network maintenance still has significant shortcomings: First, the industry has not yet formed a unified data standard for QKD equipment operation and maintenance alarms. Alarm data from different manufacturers cannot be uniformly queried, compared and correlated across platforms and systems, resulting in serious data silos that cannot support the global operation and maintenance management of large-scale QKD networks.
[0003] Second, the existing processing method is highly dependent on manual labor. Operation and maintenance personnel need to read, classify, and fill in the forms manually to complete the alarm data. This not only involves a huge workload and extremely low processing efficiency, but also easily leads to human errors such as alarm omissions, fault misjudgments, and inconsistent formats. It is completely unable to meet the operation and maintenance needs after the large-scale development of QKD networks.
[0004] Third, existing alarm data processing solutions for traditional communication networks cannot adapt to the unique operation and maintenance scenarios of QKD devices. QKD devices have unique technical architectures such as quantum layer, optical layer, electronic control layer, and service layer, and have a large number of unique alarm types that are not found in traditional communication devices. General solutions cannot accurately identify QKD-specific alarm terms, and the accuracy of field extraction and standardization processing is extremely low.
[0005] Fourth, the existing solution does not form a complete processing loop, lacks compliance verification and anomaly reprocessing mechanisms for the parsing results, cannot guarantee the quality of the output data, and cannot provide a reliable data foundation for subsequent fault location, operation and maintenance analysis, and knowledge accumulation.
[0006] Therefore, developing a standardized processing method for operation and maintenance alarm data that is adapted to the specific scenarios of QKD devices, fully automated throughout the process, and can guarantee data quality has significant engineering application value and practical industry significance. Summary of the Invention
[0007] The purpose of this invention is to overcome the shortcomings of the existing technology and provide a standardized processing method and related equipment for operation and maintenance alarm data of QKD devices. This method solves the core problems of the existing technology, such as scattered sources of QKD alarm data, heterogeneous formats, reliance on manual processing, poor adaptability of general solutions, lack of closed-loop processing, and inability to guarantee the quality of output data. It provides a unified, reliable, and high-quality data foundation for the intelligent operation and maintenance of large-scale QKD networks.
[0008] To achieve the above objectives, the present invention is implemented using the following technical solution: In a first aspect, the present invention provides a method for standardizing the processing of operation and maintenance alarm data for QKD devices, including: A standard field system for alarm data adapted to the operation and maintenance scenarios of quantum key distribution (QKD) devices is established in advance, along with a standardized alarm template corresponding to the standard field system. Obtain the original multi-source alarm dataset, which includes automated device alarm data and manually entered operation and maintenance alarm data; The original multi-source alarm dataset is preprocessed to obtain a multi-source alarm dataset; Based on the pre-built QKD device basic information database, the alarm data in the multi-source alarm dataset is subjected to structured field extraction to obtain the parsing results corresponding to the standard field system; Based on the preset QKD alarm standardization mapping rules, the parsing results are filled in and normalized to obtain standardized alarm records that conform to the standardized alarm template. Standardized alarm records that conform to the standardized alarm template are stored in the database.
[0009] Optionally, the core fields of the standard field system include alarm name, alarm category, alarm status, alarm level, alarm location, alarm time, and alarm data.
[0010] Optionally, the automated alarm data of the device includes QKD device operation logs, real-time status output data, device monitoring interface return results, device terminal output information, and alarm and event records exported from the QKD network management system. The manually entered maintenance alarm data includes inspection records, manually filled fault records, fault handling records, and manually supplemented information.
[0011] Optionally, the preprocessing includes: sequentially performing text cleaning, abnormal character removal, time format unification, field splitting, duplicate information screening, and basic semantic normalization operations.
[0012] Optionally, the pre-built QKD device basic information database stores basic attribute information of all types of QKD devices in advance; the basic attribute information includes device name, device unique number, device model, device manufacturer, device type, installation location, network node to which it belongs, and associated link information; Optionally, structured field extraction is performed on the alarm data in the multi-source alarm dataset, including: S41: Traverse the multi-source alarm dataset, and for the current alarm data to be processed, retrieve the basic attribute information of the QKD device corresponding to the alarm data from the pre-built QKD device basic information database; S42: Input the retrieved basic attribute information and the current alarm data to be processed into the intelligent agent parsing module, and sequentially perform element identification, core content extraction and field mapping processing in accordance with the standard field system to obtain the candidate parsing result of the alarm data; the intelligent agent parsing module is a semantic parsing model obtained by fine-tuning based on the QKD operation and maintenance domain corpus; S43: Perform format compliance verification on the candidate parsing results of the alarm data. The compliance verification includes at least field integrity verification, time format standardization verification, and alarm level value compliance verification. S44: If the verification passes, the candidate parsing result of the alarm data is used as the parsing result of the alarm data. If the verification fails, return to step S41 to re-parse the alarm text until the verification passes.
[0013] Optionally, the preset QKD alarm standardization mapping rules include: alarm name synonym mapping table, alarm level mapping rules, alarm classification mapping rules, and alarm location standardization mapping rules; The alarm name synonym mapping table includes the standard correspondence between synonymous alarm descriptions, Chinese and English terms, and manufacturer-defined alarm names in QKD operation and maintenance scenarios; the alarm level mapping rule realizes the unified conversion between manufacturer-defined alarm levels and preset standard alarm levels; the alarm location standardization mapping rule organizes fuzzy location descriptions into a hierarchical standard format of node-data center-rack-device-port.
[0014] Secondly, this invention provides a system for standardizing operation and maintenance alarm data processing based on QKD devices, including: The initial module is used to pre-establish a standard field system for alarm data that is adapted to the operation and maintenance scenarios of quantum key distribution (QKD) devices, as well as a standardized alarm template corresponding to the standard field system; The data acquisition module is used to acquire the original multi-source alarm dataset, which includes automated device alarm data and manually entered operation and maintenance alarm data; The preprocessing module is used to preprocess the original multi-source alarm dataset to obtain a multi-source alarm dataset. The parsing module is used to extract structured fields from the alarm data in the multi-source alarm dataset based on the pre-built QKD device basic information database, and obtain the parsing results corresponding to the standard field system. The completion module is used to complete and normalize the fields of the parsing result based on the preset QKD alarm standardization mapping rules, so as to obtain standardized alarm records that conform to the standardized alarm template. The output module is used to store standardized alarm records that conform to the standardized alarm template into the database.
[0015] Thirdly, the present invention provides an electronic device, comprising: a memory and a processor; The memory is used to store programs; The processor is used to execute the program to implement the standardized processing method for operation and maintenance alarm data of QKD devices as described in the first aspect.
[0016] Fourthly, the present invention provides a readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, it implements the method for standardizing maintenance alarm data processing for QKD devices as described in the first aspect.
[0017] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: This invention proposes a standardized processing method and related equipment for operation and maintenance alarm data of QKD devices. It addresses the core industry pain points in the large-scale deployment of quantum key distribution networks, such as the dispersed sources of operation and maintenance alarm data, heterogeneous formats, lack of unified standards for field definitions, high dependence on manual processing, and the inability of existing general solutions to adapt to the specific operation and maintenance scenarios of QKD. It provides a complete, closed-loop standardized processing solution for QKD device operation and maintenance alarm data. First, by pre-establishing a dedicated alarm data standard field system and standardized alarm templates adapted to QKD device operation and maintenance scenarios, a core standard was established for the unified processing of multi-source heterogeneous data. Second, by synchronously collecting all alarm data automatically generated and manually entered by the devices, the alarm information sources across all QKD operation and maintenance scenarios were fully covered. Third, standardized preprocessing was used to normalize the raw data, providing high-quality input for subsequent analysis. Fourth, based on a pre-built QKD device basic information database, structured field extraction was completed, enabling accurate identification and extraction of QKD-specific alarm content. Fifth, pre-set standardized mapping rules were used to complete field completion and normalization, ultimately generating standardized alarm records with uniform format, consistent expression, and complete fields, which were then uniformly stored in the database. This solution fundamentally addresses the core issue of the inability to uniformly query, compare, and analyze QKD operation and maintenance alarm data across manufacturers and systems. It replaces the inefficient traditional method of manually organizing each alarm data item by item, achieving fully automated and standardized processing of QKD operation and maintenance alarm data. This provides a unified, reliable, and high-quality data foundation for the global operation and maintenance management, fault location, and intelligent operation and maintenance system construction of large-scale QKD networks. Attached Figure Description
[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly described below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort, wherein: Figure 1 The following is a flowchart of a method for standardizing maintenance alarm data processing for QKD devices in an embodiment of the present invention. Figure 2 The diagram shown is a flowchart of the structured field extraction steps in this embodiment of the invention. Detailed Implementation
[0019] The technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit this disclosure or its application or use. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without creative effort are within the scope of protection of this disclosure.
[0020] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values of the components and steps set forth in these embodiments do not limit the scope of this disclosure.
[0021] In all examples shown and discussed herein, any specific values should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.
[0022] The application principle of the present invention will be described in detail below with reference to the accompanying drawings.
[0023] Example 1 like Figure 1 As shown in the figure, this embodiment of the invention provides a method for standardizing the processing of operation and maintenance alarm data for QKD devices, including the following steps: S1: Pre-establish a standard field system for alarm data that is adapted to the operation and maintenance scenarios of quantum key distribution (QKD) devices, and a standardized alarm template corresponding to the standard field system; S2: Obtain the original multi-source alarm dataset, which includes automated device alarm data and manually entered maintenance alarm data; S3: Preprocess the original multi-source alarm dataset to obtain a multi-source alarm dataset; S4: Based on the pre-built QKD device basic information database, the alarm data in the multi-source alarm dataset is subjected to structured field extraction to obtain the parsing results corresponding to the standard field system; S5: Based on the preset QKD alarm standardization mapping rules, the parsing results are filled in and normalized to obtain standardized alarm records that conform to the standardized alarm template. S6: Store the standardized alarm records that conform to the standardized alarm template in the database.
[0024] In this embodiment, the core fields of the standard field system in step S1 include alarm name, alarm category, alarm status, alarm level, alarm location, alarm time, and alarm data. Each field has clearly defined naming rules, data format, and value boundaries. Among these features, alarm names serve as standardized core identifiers for alarm events, used for unified retrieval and aggregation analysis of similar alarms; alarm classification is based on a two-level standardized division of the technical architecture of QKD devices at the quantum layer, optical layer, electrical control layer, service layer, and system layer, enabling precise categorization of alarm events; alarm status and alarm level clearly define the four-stage standard identifiers for the entire alarm handling process and the four-level priority division of the fault impact, adapting to unified operation and maintenance scheduling of cross-vendor devices across the entire network; alarm location adopts a hierarchical standard format of "belonging network node-data center-rack-device-port" to achieve precise fault location; alarm time is uniformly formatted in the East Eight Zone standard format, providing a unified time reference for cross-device and cross-node alarm time sequence correlation analysis; alarm data retains the original alarm content completely and without modification, ensuring the traceability and verifiability of alarm events.
[0025] In this embodiment, the automated alarm data in step S2 includes QKD device operation logs, real-time status output data, device monitoring interface return results, device terminal output information, and alarm and event records exported from the QKD network management system; the manually entered maintenance alarm data includes inspection records, manually filled fault records, fault handling records, and manually supplemented information. Specifically, the automated alarm data comprehensively collects the operation logs, real-time status output data, device monitoring interface return results, device terminal output information, and alarm and event records exported from the network management system automatically generated throughout the entire operating cycle of all 86 QKD devices in the network, ensuring complete and comprehensive collection of the original device alarm data. The manually entered maintenance alarm data simultaneously collects on-site inspection records, manually filled fault records, fault handling closed-loop records, and manually supplemented alarm information, achieving complete matching and aggregation of automatically collected device data and on-site manual maintenance data, providing a comprehensive and closed-loop raw data foundation for subsequent standardized processing throughout the entire process.
[0026] In this embodiment, the preprocessing in step S3 includes: sequentially performing text cleaning, abnormal character removal, time format unification, field splitting, duplicate information screening, and basic semantic normalization operations.
[0027] Specifically, text cleaning and abnormal character removal operations include removing redundant spaces, line breaks, garbled characters, and invalid special symbols from the original text, and unifying full-width and half-width characters; time format unification operations convert timestamps, manufacturer-defined time formats, and times from different time zones to the standard format of East Eight Zone; field splitting operations split multi-field content merged in the same cell or row into independent field content; duplicate information screening operations identify duplicates based on the device's unique number, alarm time, and alarm core semantics, and remove completely duplicate redundant records; basic semantic normalization operations unify the conversion of content that mixes Chinese and English, such as converting "Link Down" to "Link Interruption" and "Rx Power Low" to "Received Optical Power Too Low", and performing preliminary alignment of different abbreviations of the same semantic meaning.
[0028] In this embodiment, the basic attribute information of all types of QKD devices is pre-stored in the QKD device basic information database pre-built in step S4; the basic attribute information includes device name, device unique number, device model, device manufacturer, device type, installation location, network node to which it belongs, and associated link information; like Figure 2 As shown, in this embodiment, step S4 involves extracting structured fields from the alarm data in the multi-source alarm dataset, including: S41: Traverse the multi-source alarm dataset, and for the current alarm data to be processed, retrieve the basic attribute information of the QKD device corresponding to the alarm data from the pre-built QKD device basic information database; S42: Input the retrieved basic attribute information and the current alarm data to be processed into the intelligent agent parsing module, and sequentially perform element identification, core content extraction and field mapping processing in accordance with the standard field system to obtain the candidate parsing result of the alarm data; the intelligent agent parsing module is a semantic parsing model obtained by fine-tuning based on the QKD operation and maintenance domain corpus; S43: Perform format compliance verification on the candidate parsing results of the alarm data. The compliance verification includes at least field integrity verification, time format standardization verification, and alarm level value compliance verification. S44: If the verification passes, the candidate parsing result of the alarm data is used as the parsing result of the alarm data. If the verification fails, return to step S41 to re-parse the alarm text until the verification passes.
[0029] Specifically, the intelligent agent parsing module adopts a named entity recognition model based on the BERT base model with fine-tuning. The fine-tuning corpus includes three years of historical alarm records of the network, QKD equipment operation and maintenance manuals from various manufacturers, fault handling documents, and quantum communication operation and maintenance industry standards. The module optimizes the specific terminology and semantic features for QKD operation and maintenance scenarios.
[0030] Specifically, step S43 performs a format compliance check on the candidate parsing results of the alarm data, which includes: Field integrity check: Checks whether the required fields in the standard field system have valid values and no empty values; Time format conformity check: Check whether the alarm time field conforms to the preset format, that is, the standard format of East 8th time zone; Alarm level value compliance verification: Check whether the alarm level field is within the standard value range of "urgent, important, general, alert"; In this embodiment, the QKD alarm standardization mapping rules preset in step S5 include: alarm name synonym mapping table, alarm level mapping rules, alarm classification mapping rules, and alarm location standardization mapping rules. The alarm name synonym mapping table includes the standard correspondence between synonymous alarm descriptions, Chinese and English terms, and manufacturer-defined alarm names in QKD operation and maintenance scenarios; the alarm level mapping rule realizes the unified conversion between manufacturer-defined alarm levels and preset standard alarm levels; the alarm location standardization mapping rule organizes fuzzy location descriptions into a hierarchical standard format of node-data center-rack-device-port.
[0031] In this embodiment, step S5 performs field completion and normalization mapping on the parsing results. Field completion includes: for cases where the device location is missing or the component name is abbreviated in the parsing results, the QKD device basic information database is queried based on the device's unique number to automatically complete information such as standard installation location, server room cabinet level, and device affiliation, thus perfecting the corresponding field content. Normalization mapping includes: according to the preset QKD alarm standardization mapping rules, synonymous alarm content from different sources and with different expressions is uniformly converted and converged into a standard expression to ensure the consistency of all records.
[0032] In this embodiment, step S6 involves storing standardized alarm records that conform to the standardized alarm template in a database for subsequent querying, statistical analysis, fault location, and accumulation of maintenance experience. Manually entered maintenance alarm data can also serve as a supplement and verification basis for automated equipment alarm data, thereby improving the completeness and accuracy of alarm data.
[0033] Example 2
[0034] This embodiment also proposes a system for standardizing maintenance alarm data for QKD devices, used to implement the method for standardizing maintenance alarm data for QKD devices proposed in Embodiment 1, including: The initial module is used to pre-establish a standard field system for alarm data that is adapted to the operation and maintenance scenarios of quantum key distribution (QKD) devices, as well as a standardized alarm template corresponding to the standard field system; The data acquisition module is used to acquire the original multi-source alarm dataset, which includes automated device alarm data and manually entered operation and maintenance alarm data; The preprocessing module is used to preprocess the original multi-source alarm dataset to obtain a multi-source alarm dataset. The parsing module is used to extract structured fields from the alarm data in the multi-source alarm dataset based on the pre-built QKD device basic information database, and obtain the parsing results corresponding to the standard field system. The completion module is used to complete and normalize the fields of the parsing result based on the preset QKD alarm standardization mapping rules, so as to obtain standardized alarm records that conform to the standardized alarm template. The output module is used to store standardized alarm records that conform to the standardized alarm template into the database.
[0035] The specific functions of each module described above are explained in the relevant content of the method in Embodiment 1, and will not be repeated here.
[0036] Example 3 This embodiment describes an electronic device, including: a memory and a processor; The memory is used to store programs; The processor is used to execute the program to implement the standardized processing method for operation and maintenance alarm data of QKD devices in Embodiment 1.
[0037] Example 4 This embodiment describes a readable storage medium on which a computer program is stored. When the computer program is executed by a processor, it implements the standardized processing method for operation and maintenance alarm data of QKD devices in Embodiment 1.
[0038] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0039] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0040] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0041] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0042] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.
Claims
1. A method for standardizing maintenance alarm data processing for QKD devices, characterized in that, include: A standard field system for alarm data adapted to the operation and maintenance scenarios of quantum key distribution (QKD) devices is established in advance, along with a standardized alarm template corresponding to the standard field system. Obtain the original multi-source alarm dataset, which includes automated device alarm data and manually entered operation and maintenance alarm data; The original multi-source alarm dataset is preprocessed to obtain a multi-source alarm dataset; Based on the pre-built QKD device basic information database, the alarm data in the multi-source alarm dataset is subjected to structured field extraction to obtain the parsing results corresponding to the standard field system; Based on the preset QKD alarm standardization mapping rules, the parsing results are filled in and normalized to obtain standardized alarm records that conform to the standardized alarm template. Standardized alarm records that conform to the standardized alarm template are stored in the database.
2. The method for standardizing maintenance alarm data processing for QKD equipment according to claim 1, characterized in that, The core fields of the standard field system include alarm name, alarm category, alarm status, alarm level, alarm location, alarm time, and alarm data.
3. The method for standardizing maintenance alarm data processing for QKD equipment according to claim 2, characterized in that, The automated alarm data of the equipment includes QKD equipment operation logs, real-time status output data, equipment monitoring interface return results, equipment terminal output information, and alarm and event records exported from the QKD network management system. The manually entered maintenance alarm data includes inspection records, manually filled fault records, fault handling records, and manually supplemented information.
4. The method for standardizing maintenance alarm data processing for QKD equipment according to claim 3, characterized in that, The preprocessing includes performing text cleaning, abnormal character removal, time format unification, field splitting, duplicate information screening, and basic semantic normalization operations in sequence.
5. The method for standardizing maintenance alarm data processing for QKD equipment according to claim 4, characterized in that, The pre-built QKD device basic information database stores basic attribute information for all types of QKD devices in advance; the basic attribute information includes device name, device unique number, device model, device manufacturer, device type, installation location, network node to which it belongs, and associated link information.
6. The method for standardizing maintenance alarm data processing for QKD equipment according to claim 5, characterized in that, Structured field extraction is performed on the alarm data in the multi-source alarm dataset, including: S41: Traverse the multi-source alarm dataset, and for the current alarm data to be processed, retrieve the basic attribute information of the QKD device corresponding to the alarm data from the pre-built QKD device basic information database; S42: Input the retrieved basic attribute information and the current alarm data to be processed into the intelligent agent parsing module, and sequentially perform element identification, core content extraction and field mapping processing in accordance with the standard field system to obtain the candidate parsing result of the alarm data; the intelligent agent parsing module is a semantic parsing model obtained by fine-tuning based on the QKD operation and maintenance domain corpus; S43: Perform format compliance verification on the candidate parsing results of the alarm data. The compliance verification includes at least field integrity verification, time format standardization verification, and alarm level value compliance verification. S44: If the verification passes, the candidate parsing result of the alarm data is used as the parsing result of the alarm data. If the verification fails, return to step S41 to re-parse the alarm text until the verification passes.
7. The method for standardizing maintenance alarm data processing for QKD equipment according to claim 6, characterized in that, The preset QKD alarm standardization mapping rules include: alarm name synonym mapping table, alarm level mapping rules, alarm classification mapping rules, and alarm location standardization mapping rules; The alarm name synonym mapping table includes the standard correspondence between synonymous alarm descriptions, Chinese and English terms, and manufacturer-defined alarm names in QKD operation and maintenance scenarios; the alarm level mapping rule realizes the unified conversion between manufacturer-defined alarm levels and preset standard alarm levels; the alarm location standardization mapping rule organizes fuzzy location descriptions into a hierarchical standard format of node-data center-rack-device-port.
8. A system for standardizing and processing maintenance alarm data for QKD equipment, characterized in that, include: The initial module is used to pre-establish a standard field system for alarm data that is adapted to the operation and maintenance scenarios of quantum key distribution (QKD) devices, as well as a standardized alarm template corresponding to the standard field system; The data acquisition module is used to acquire the original multi-source alarm dataset, which includes automated device alarm data and manually entered operation and maintenance alarm data; The preprocessing module is used to preprocess the original multi-source alarm dataset to obtain a multi-source alarm dataset. The parsing module is used to extract structured fields from the alarm data in the multi-source alarm dataset based on the pre-built QKD device basic information database, and obtain the parsing results corresponding to the standard field system. The completion module is used to complete and normalize the fields of the parsing result based on the preset QKD alarm standardization mapping rules, so as to obtain standardized alarm records that conform to the standardized alarm template. The output module is used to store standardized alarm records that conform to the standardized alarm template into the database.
9. An electronic device, characterized in that, include: Memory and processor; The memory is used to store programs; The processor is used to execute the program to implement the method for standardizing maintenance alarm data processing for QKD devices as described in any one of claims 1-7.
10. A readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for standardizing maintenance alarm data processing for QKD devices as described in any one of claims 1-7.