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CN120812627A - Intelligent operation and maintenance platform for locomotive integrated wireless communication equipment - Google Patents

Intelligent operation and maintenance platform for locomotive integrated wireless communication equipment

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Publication number
CN120812627A
CN120812627A CN202510953972.0A CN202510953972A CN120812627A CN 120812627 A CN120812627 A CN 120812627A CN 202510953972 A CN202510953972 A CN 202510953972A CN 120812627 A CN120812627 A CN 120812627A
Authority
CN
China
Prior art keywords
data
ground
wireless communication
intelligent
communication equipment
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202510953972.0A
Other languages
Chinese (zh)
Inventor
谌介人
马天辉
黄荣
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CRSC Communication and Information Group Shanghai Co Ltd
Original Assignee
CRSC Communication and Information Group Shanghai Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by CRSC Communication and Information Group Shanghai Co Ltd filed Critical CRSC Communication and Information Group Shanghai Co Ltd
Priority to CN202510953972.0A priority Critical patent/CN120812627A/en
Publication of CN120812627A publication Critical patent/CN120812627A/en
Pending legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/04—Arrangements for maintaining operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06—Management of faults, events, alarms or notifications
    • H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06—Management of faults, events, alarms or notifications
    • H04L41/0677—Localisation of faults
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06—Management of faults, events, alarms or notifications
    • H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/16—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • H04W4/42—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for mass transport vehicles, e.g. buses, trains or aircraft

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Train Traffic Observation, Control, And Security (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

The invention relates to the technical field of rail transit wireless communication, in particular to an intelligent operation and maintenance platform for locomotive comprehensive wireless communication equipment, which comprises vehicle-mounted equipment, a vehicle-ground wireless network and a ground intelligent analysis platform, wherein the vehicle-mounted equipment is used for collecting operation data of CIR equipment in real time and uploading the operation data to the ground intelligent analysis platform, the vehicle-ground wireless network is used for constructing a bidirectional transmission channel between the vehicle-mounted equipment and the ground intelligent analysis platform, and the ground intelligent analysis platform is used for alarming locomotive operation states and fault reasons based on the collected operation data and providing an information acquisition function based on LLM large language model dialogue for maintenance personnel. Compared with the prior art, the method and the device fully utilize the data transmission function of the ground wireless network, provide remote downloading logs for daily operation and maintenance of the locomotive comprehensive wireless communication equipment, acquire real-time data of the equipment, effectively shorten the time of manually downloading and analyzing the data by the logs, and lighten the workload of on-site operation.

Description

Intelligent operation and maintenance platform for locomotive integrated wireless communication equipment
Technical Field
The invention relates to the technical field of rail transit wireless communication, in particular to an intelligent operation and maintenance platform for locomotive comprehensive wireless communication equipment.
Background
The locomotive comprehensive wireless communication equipment is used as key equipment for railway transportation, and the application condition of the locomotive comprehensive wireless communication equipment directly affects the safety and efficiency of railway transportation. At present, all equipment manufacturers in the railway industry are matched with corresponding analysis software, so that data analysis can be performed on the recorded unit data, but the remote downloading function is not realized, only a small amount of abnormal prompt information is provided, the degree of automation is low, and at present, the equipment logs are mainly downloaded and analyzed by manpower. Along with the gradual increase of operation vehicles and equipment, the workload of equipment log downloading and analysis personnel is gradually increased, equipment logs cannot be dumped and analyzed in time, equipment faults cannot be prevented in advance, and the equipment logs become an important hidden trouble of railway transportation safety. The railway industry belongs to the industry with strong specialization, and the cultivation of professional technicians is very difficult and has high dependence on the railway industry. The analysis of equipment data presents a series of challenges that require maintenance analysts to be familiar with the various fault types while having expertise in the communication signals. This process requires long first line experience. The same kind of problems may lead to different analysis conclusions due to uneven levels of analysts. Especially in the background of complicated railway network and rapid increase of equipment quantity, the existing operation and maintenance mode causes long equipment downtime and high maintenance cost. Although the prior art has realized a part of remote monitoring functions, obvious defects exist in the aspects of real-time intelligent diagnosis, interactive fault analysis and multi-source data cooperative processing.
Disclosure of Invention
The invention aims to solve the problems of low fault positioning efficiency, difficult log acquisition, unbalanced analysis capability and the like of the conventional locomotive comprehensive wireless communication equipment, and discloses an intelligent operation and maintenance platform special for the locomotive comprehensive wireless communication equipment.
The aim of the invention can be achieved by the following technical scheme:
An intelligent operation and maintenance platform for locomotive integrated wireless communication equipment comprises vehicle-mounted equipment, a train-ground wireless network and a ground intelligent analysis platform:
The vehicle-mounted equipment is used for collecting the operation data of the CIR equipment in real time and uploading the operation data to the ground intelligent analysis platform;
The vehicle-ground wireless network is used for constructing a bidirectional transmission channel of vehicle-mounted equipment and a ground intelligent analysis platform
The ground intelligent analysis platform is used for alarming the running state of the locomotive and the fault reason based on the collected running data, and providing an information acquisition function based on LLM large language model dialogue for maintenance personnel.
As a preferable technical scheme, the vehicle-mounted equipment comprises a data acquisition module, a wireless transmission module and a data preprocessing unit;
The data acquired by the data acquisition module comprises a communication state, radio frequency parameters, protocol interaction data and hardware operation indexes;
the data preprocessing unit is used for compressing original data;
And the wireless transmission module is used for uploading the compressed data.
As a preferred technical solution, the data acquisition module includes:
the serial communication interface is accessed to the CIR equipment internal sensor through an RS485/CAN bus;
and the wireless sniffing interface acquires CIR and base station air interface signaling through the radio frequency module.
The wireless network adopts a double-channel redundant transmission, a main channel adopts a 5G-R special bearing network, a standby channel adopts an LTE-R network, and when the signal intensity of the main channel 5G-R network is smaller than a set threshold value, the wireless network is switched to the standby channel.
As a preferable technical scheme, the wireless network is provided with a mobile edge computing module beside a track along a railway, and the mobile edge computing module is used for caching local logs and prefiltering data to discard invalid state packets.
As a preferred technical solution, the ground intelligent analysis platform adopts a distributed server cluster as a hardware main body, is configured with a GPU acceleration unit, and the internal integrated functional module includes:
the data receiving engine is used for analyzing the concurrent data streams of multiple locomotives;
the real-time database is used for storing the time sequence data of the running state of the equipment;
And the intelligent diagnosis module integrates the fault rule base and the machine learning model and is used for fault diagnosis.
The intelligent diagnosis module performs fault diagnosis analysis and acquisition processes, namely matching newly generated alarm information with a preset fault rule base, generating a corresponding fault diagnosis report based on matching items in the rule base when the alarm information is successfully matched with the fault rule base, predicting the fault probability based on the alarm information by using a machine learning prediction model if the matching is failed, inputting the alarm information into a LLM natural language large model, and outputting and analyzing the fault diagnosis report.
As a preferable technical scheme, the intelligent diagnosis module generates a topology influence graph after generating the fault diagnosis report.
As a preferable technical scheme, the ground intelligent analysis platform (103) is further provided with a LLM interaction engine, and a conversation interface of the LLM natural language big model is arranged on a main interface of the ground intelligent analysis platform (103) so that maintenance personnel can communicate with the LLM natural language big model through the conversation interface to acquire various information.
As an optimal technical scheme, the LLM natural language large model carries out field fine adjustment on the base model by injecting a railway communication equipment manual and a fault case library.
Compared with the prior art, the invention has the following beneficial effects:
1) According to the intelligent operation and maintenance platform for the locomotive integrated wireless communication equipment, provided by the invention, the equipment logs can be downloaded remotely through the locomotive-ground wireless network, so that the timeliness of acquiring the logs is greatly improved. Maintenance personnel grasp the running state of the equipment in real time through the operation and maintenance platform, discover potential problems and faults in time, avoid further deterioration of the faults, and reduce the influence on train traffic running.
2) The train-ground wireless network adopts a double-channel hot backup mechanism, and ensures the continuity of communication through the seamless switching of the 5G-R/LTE-R set by the main and the standby. And a mobile edge computing unit MEC is arranged beside the track to perform edge buffering, so that the problem of interruption of data transmission of weak signal sections such as tunnels can be solved.
3) The intelligent operation and maintenance platform provided by the invention judges the fault type by matching the alarm information with the rule base through the equipment operation data acquired in real time, predicts the probability of future faults based on a machine learning prediction model for faults which are not covered in the rule base, and performs fault analysis through a LLM natural language large model. The intelligent fault analysis and diagnosis of the equipment can be realized, the alarm is sent out in time to prompt the occurrence of the fault and give out the cause of the fault in time, and the fault identification and cause analysis work of maintenance personnel is greatly lightened.
Drawings
FIG. 1is a schematic diagram of an intelligent operation and maintenance platform system for a locomotive integrated wireless communication device according to the present invention.
The system comprises a vehicle-mounted device 101, a vehicle-ground wireless network 102 and a ground intelligent analysis platform 103.
Detailed Description
The invention will now be described in detail with reference to the drawings and specific examples. The present embodiment is implemented on the premise of the technical scheme of the present invention, and a detailed implementation manner and a specific operation process are given, but the protection scope of the present invention is not limited to the following examples.
Example 1
As one implementation manner of the present invention, this embodiment provides an intelligent operation and maintenance platform for a locomotive integrated wireless communication device, as shown in fig. 1, which mainly includes:
The vehicle-mounted equipment 101 adopts an embedded industrial computer, integrates a data acquisition module and a wireless transmission module, acquires communication state, radio frequency parameters, protocol interaction data and hardware operation indexes of the CIR equipment in real time, and is also internally provided with a data preprocessing unit for compressing and extracting characteristics of original data. The interface of the data acquisition module comprises a serial communication interface which is accessed to an internal sensor of CIR equipment through an RS485/CAN bus, and a wireless sniffing interface which adopts a 2.4GHz radio frequency module to acquire CIR and base station air interface signaling (supporting GSM-R/LTE-R dual mode). The vehicle-mounted device 101 can collect the internal bus data of the device and the air interface wireless signaling at the same time through the multi-protocol sniffing technology. After the locomotive integrated wireless communication device data is collected, the vehicle-mounted device 101 is sent to the ground through the wireless transmission module.
The vehicle-ground wireless network 102 constructs a bidirectional transmission channel between the vehicle-mounted equipment 101 and the ground intelligent analysis platform 103 based on the 5G-R special mobile communication network. The system supports the vehicle-mounted equipment 101 to upload real-time data to the ground intelligent analysis platform 103, the uplink bandwidth is more than or equal to 50Mbps, and supports the ground intelligent analysis platform 103 to send control instructions and log downloading requests to the vehicle-mounted equipment 101, and the downlink delay is less than or equal to 100ms. The in-vehicle device 101 transmits data to the ground intelligent analysis platform 103 through a field 5G-R wireless network provided by the in-vehicle wireless network 102, and the ground intelligent analysis platform 103 can access the in-vehicle device 101 through the wireless network.
Further, the ground wireless network 102 can adopt dual-channel redundancy transmission, the main channel adopts a 5G-R special bearing network, the standby channel adopts an LTE-R network, and the standby channel is automatically switched to when the 5G-R signal is < -110 dBm. A mobile edge computing Module (MEC) is deployed alongside the rail along the rail, caches local logs to reduce core network pressure, and can also pre-filter data, discarding invalid state packets.
The ground intelligent analysis platform 103 adopts a high-performance server as a hardware main body, is internally provided with intelligent operation and maintenance platform related software, and adopts a computer display as a man-machine interaction interface. Further, the hardware layer of the ground intelligent analysis platform 103 adopts a distributed server cluster and is configured with a GPU acceleration unit.
The software layer of the ground intelligent analysis platform 103 comprises a data receiving engine, a real-time database, an intelligent diagnosis module, an LLM interaction engine and a LLM interaction engine, wherein the data receiving engine is used for analyzing concurrent data streams of multiple locomotives, the real-time database is used for storing time sequence data of running states of equipment, the intelligent diagnosis module is used for integrating a fault rule base and a machine learning model and used for fault diagnosis, and the LLM interaction engine comprises a natural language processing unit based on an LLM large language model and is used for receiving natural language inquiry input by maintainers through a dialogue interface and returning relevant suggestions.
Further, the ground intelligent analysis platform 103 logs in to the main interface of the ground intelligent analysis platform 103 after the maintainer inputs the correct user name, password and generated dynamic token.
The main interface of the ground intelligent analysis platform 103 displays the warning information and the real-time running state information of the locomotive integrated wireless communication device to maintenance personnel. The real-time operation state information includes detailed information of the in-vehicle apparatus 101 at this point in time. The warning information of the locomotive comprehensive wireless communication equipment comprises the number of the train where the equipment is located, the locomotive and fault reason analysis.
The fault cause analysis and acquisition process comprises the steps of matching newly generated alarm information with a preset fault rule base, generating a fault diagnosis report corresponding to a matching item in the rule base when the alarm information is successfully matched with the fault rule base, predicting the fault probability based on the alarm information by using a machine learning prediction model if the matching is failed, inputting the alarm information into an LLM natural language large model, and outputting and analyzing the fault diagnosis report.
In this embodiment, the rule base contains 2000+ expert experience rules, such as IF receiving sensitivity < -95dBm AND error rate >10-3THEN antenna failure probability=87%. The prediction model adopts a prediction model based on an Attention-LSTM network, the model is input as alarm information, and the model is output as the future 24-hour fault probability. And generating a topology influence graph after generating a fault diagnosis report, such as E107 faults, associating power supply modules and influencing a vehicle-mounted radio station.
The main interface of the ground intelligent analysis platform 103 is also provided with a dialogue interface based on the LLM natural language big model, and maintenance personnel can acquire various information through communication with the platform through the interface. The LLM natural language large model performs field fine adjustment on the base model by injecting a railway communication equipment manual and a fault case library.
The operation and maintenance platform provided by the invention can remotely download the equipment log, shorten the equipment log acquisition time and avoid frequent boarding of maintenance personnel, and can display the equipment operation data and intelligent analysis equipment faults and reasons in real time, thereby effectively solving the problem that the fault cannot be positioned correctly due to uneven level of the analysis personnel.
The foregoing describes in detail preferred embodiments of the present invention. It should be understood that numerous modifications and variations can be made in accordance with the concepts of the invention by one of ordinary skill in the art without undue burden. Therefore, all technical solutions which can be obtained by logic analysis, reasoning or limited experiments based on the prior art by the person skilled in the art according to the inventive concept shall be within the scope of protection defined by the claims.

Claims (10)

1.一种用于机车综合无线通信设备的智能运维平台，其特征在于，包括车载设备(101)、车地无线网络(102)以及地面智能分析平台(103)：1. An intelligent operation and maintenance platform for locomotive integrated wireless communication equipment, characterized by comprising an onboard device (101), a vehicle-ground wireless network (102), and a ground intelligent analysis platform (103): 所述车载设备(101)，用于实时采集CIR设备的运行数据，并上传至地面智能分析平台(103)；The vehicle-mounted device (101) is used to collect the operating data of the CIR device in real time and upload it to the ground intelligent analysis platform (103); 所述车地无线网络(102)，用于构建车载设备(101)与地面智能分析平台(103)的双向传输通道The vehicle-ground wireless network (102) is used to construct a two-way transmission channel between the vehicle-mounted equipment (101) and the ground intelligent analysis platform (103) 所述地面智能分析平台(103)，基于所采集的运行数据，进行机车运行状态告警与故障原因，并为维护人员提供基于LLM大语言模型对话的信息获取功能。The ground intelligent analysis platform (103) provides locomotive operation status alarms and fault causes based on the collected operation data, and provides maintenance personnel with an information acquisition function based on LLM large language model dialogue. 2.根据权利要求1所述的一种用于机车综合无线通信设备的智能运维平台，其特征在于，所述车载设备(101)包括数据采集模块、无线传输模块与数据预处理单元；2. An intelligent operation and maintenance platform for locomotive integrated wireless communication equipment according to claim 1, characterized in that the on-board equipment (101) includes a data acquisition module, a wireless transmission module and a data preprocessing unit; 所述数据采集模块所采集数据包括通信状态、射频参数、协议交互数据及硬件运行指标；The data collected by the data acquisition module includes communication status, radio frequency parameters, protocol interaction data and hardware operation indicators; 所述数据预处理单元，用于对原始数据进行压缩；The data pre-processing unit is used to compress the original data; 所述无线传输模块，用于压缩后数据进行上传。The wireless transmission module is used to upload compressed data. 3.根据权利要求2所述的一种用于机车综合无线通信设备的智能运维平台，其特征在于，所述数据采集模块包括：3. The intelligent operation and maintenance platform for locomotive integrated wireless communication equipment according to claim 2, wherein the data acquisition module comprises: 串行通信接口，通过RS485/CAN总线接入CIR设备内部传感器；Serial communication interface, access to internal sensors of CIR equipment via RS485/CAN bus; 无线嗅探接口，通过射频模块采集CIR与基站空口信令。Wireless sniffing interface, collects CIR and base station air interface signaling through the RF module. 4.根据权利要求1所述的一种用于机车综合无线通信设备的智能运维平台，其特征在于，所述无线网络(102)采用双通道冗余传输，主通道采用5G-R专用承载网络；备用通道采用LTE-R网络，当主通道5G-R网络信号强度小于设定阈值时，切换至备用通道。4. An intelligent operation and maintenance platform for locomotive integrated wireless communication equipment according to claim 1, characterized in that the wireless network (102) adopts dual-channel redundant transmission, the main channel adopts a 5G-R dedicated bearer network; the backup channel adopts an LTE-R network, and when the main channel 5G-R network signal strength is less than a set threshold, it switches to the backup channel. 5.根据权利要求1所述的一种用于机车综合无线通信设备的智能运维平台，其特征在于，所述无线网络(102)在铁路沿线的轨旁部署有移动边缘计算模块，所述移动边缘计算模块用于对本地日志进行缓存，并对数据进行预过滤丢弃无效状态包。5. An intelligent operation and maintenance platform for locomotive integrated wireless communication equipment according to claim 1, characterized in that the wireless network (102) is deployed with a mobile edge computing module on the trackside along the railway, and the mobile edge computing module is used to cache local logs and pre-filter data to discard invalid status packets. 6.根据权利要求1所述的一种用于机车综合无线通信设备的智能运维平台，其特征在于，所述地面智能分析平台(103)，采用分布式服务器集群作为硬件主体，并配置有GPU加速单元，内部集成功能模块包括：6. The intelligent operation and maintenance platform for locomotive integrated wireless communication equipment according to claim 1, characterized in that the ground intelligent analysis platform (103) adopts a distributed server cluster as the hardware body and is configured with a GPU acceleration unit, and the internal integrated functional modules include: 数据接收引擎，用于解析多机车并发数据流；Data receiving engine, used to parse concurrent data streams from multiple locomotives; 实时数据库，用于存储设备运行状态时序数据；Real-time database, used to store time series data of equipment operation status; 智能诊断模块，集成故障规则库与机器学习模型，用于进行故障诊断。The intelligent diagnosis module integrates the fault rule library and machine learning model for fault diagnosis. 7.根据权利要求5所述的一种用于机车综合无线通信设备的智能运维平台，其特征在于，所述智能诊断模块进行故障诊断分析获取过程如下：对于新产生的告警信息，与预设的故障规则库进行匹配，当告警信息与故障规则库匹配成功，则基于规则库中匹配项生成对应的故障诊断报告；若匹配失败，则利用机器学习预测模型，基于告警信息预测故障概率，并将告警信息输入LLM自然语言大模型中，输出分析故障诊断报告。7. An intelligent operation and maintenance platform for locomotive integrated wireless communication equipment according to claim 5 is characterized in that the intelligent diagnosis module performs fault diagnosis analysis and acquisition process as follows: for newly generated alarm information, it is matched with a preset fault rule base. When the alarm information successfully matches the fault rule base, a corresponding fault diagnosis report is generated based on the matching items in the rule base; if the match fails, a machine learning prediction model is used to predict the fault probability based on the alarm information, and the alarm information is input into the LLM natural language model to output an analysis fault diagnosis report. 8.根据权利要求7所述的一种用于机车综合无线通信设备的智能运维平台，其特征在于，所述智能诊断模块在生成所述故障诊断报告后，生成拓扑影响图。8. An intelligent operation and maintenance platform for locomotive integrated wireless communication equipment according to claim 7, characterized in that the intelligent diagnosis module generates a topology influence diagram after generating the fault diagnosis report. 9.根据权利要求6所述的一种用于机车综合无线通信设备的智能运维平台，其特征在于，所述地面智能分析平台(103)还配置有LLM交互引擎，在地面智能分析平台(103)的主界面设置有LLM自然语言大模型的对话界面，以供维护人员通过对话界面与LLM自然语言大模型交流获取各类信息。9. An intelligent operation and maintenance platform for locomotive integrated wireless communication equipment according to claim 6, characterized in that the ground intelligent analysis platform (103) is also configured with an LLM interaction engine, and a dialogue interface of the LLM natural language model is set on the main interface of the ground intelligent analysis platform (103) to allow maintenance personnel to communicate with the LLM natural language model through the dialogue interface to obtain various types of information. 10.根据权利要求9所述的一种用于机车综合无线通信设备的智能运维平台，其特征在于，所述LLM自然语言大模型通过注入铁路通信设备手册与故障案例库对基座模型进行领域微调。10. An intelligent operation and maintenance platform for locomotive integrated wireless communication equipment according to claim 9, characterized in that the LLM natural language model fine-tunes the base model by injecting railway communication equipment manuals and fault case libraries.
CN202510953972.0A 2025-07-11 2025-07-11 Intelligent operation and maintenance platform for locomotive integrated wireless communication equipment Pending CN120812627A (en)

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CN202510953972.0A CN120812627A (en) 2025-07-11 2025-07-11 Intelligent operation and maintenance platform for locomotive integrated wireless communication equipment

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CN202510953972.0A CN120812627A (en) 2025-07-11 2025-07-11 Intelligent operation and maintenance platform for locomotive integrated wireless communication equipment

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CN120812627A true CN120812627A (en) 2025-10-17

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