CN113347566A - Locomotive communication equipment monitoring method, device and system - Google Patents

Locomotive communication equipment monitoring method, device and system Download PDF

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Publication number
CN113347566A
CN113347566A CN202110618189.0A CN202110618189A CN113347566A CN 113347566 A CN113347566 A CN 113347566A CN 202110618189 A CN202110618189 A CN 202110618189A CN 113347566 A CN113347566 A CN 113347566A
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data
equipment
monitoring
network
cir
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CN113347566B (en
Inventor
王远波
梁轶群
何占元
蔺伟
蒋志勇
宋立波
张志国
韩君龙
张志豪
高尚勇
王仁锋
杨居丰
付文刚
康恺
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Xi'an Yixinlian Communication Technology Co ltd
Beijing Zongheng Electromechanical Technology Co Ltd
Signal and Communication Research Institute of CARS
Guoneng Shuohuang Railway Development Co Ltd
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Xi'an Yixinlian Communication Technology Co ltd
Beijing Zongheng Electromechanical Technology Co Ltd
Signal and Communication Research Institute of CARS
Guoneng Shuohuang Railway Development Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/025—Services making use of location information using location based information parameters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/13—Receivers
    • G01S19/14—Receivers specially adapted for specific applications
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • 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
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The application relates to a method, a device and a system for monitoring locomotive communication equipment. The locomotive communication equipment monitoring method comprises the following steps: acquiring wireless network monitoring data; the wireless network monitoring data comprises position information and time information acquired by a positioning module of the CIR equipment, and wireless signal measurement information acquired by a communication module of the CIR equipment of network signals residing along the line; analyzing and warehousing wireless network monitoring data to obtain standard data; the standard data comprises an identification part, a data part and a position information part; processing the standard data and outputting a corresponding monitoring result; the monitoring result comprises an equipment performance monitoring result, a network state monitoring result and an abnormal positioning result. The method and the device are suitable for timely, accurate and efficient monitoring of the performance of the wireless communication network where the railway mobile equipment is located.

Description

Locomotive communication equipment monitoring method, device and system
Technical Field
The present application relates to the field of wireless communication technologies, and in particular, to a method, an apparatus, and a system for monitoring a locomotive communication device.
Background
With the rapid development of railways, particularly high-speed railways and heavy haul railways have become important vehicles for mainly supporting people and goods, and the driving safety of high-speed railways cannot be ensured by using a locomotive integrated radio communication equipment (CIR). The locomotive comprehensive wireless communication equipment enables the railway wireless communication of China to cross the digital era from the analog era, and guarantees are provided for the running safety of high-speed railways. The locomotive comprehensive wireless communication equipment is widely applied to various high-speed railways such as domestic rejuvenated numbers, harmonious numbers and the like, intercity railway freight lines, ordinary passenger railways and freight railway locomotives, and can provide whole-course stable guarantee for the integrated connection of the train and the ground of the railway.
In the implementation process, the inventor finds that at least the following problems exist in the conventional technology: the existing locomotive integrated wireless communication equipment has the problem that the working state and the network condition cannot be effectively monitored.
Disclosure of Invention
In view of the foregoing, there is a need to provide a method, an apparatus and a system for monitoring a locomotive communication device, which can effectively monitor the operating status and the network condition.
In order to achieve the above object, in one aspect, an embodiment of the present application provides a method for monitoring a locomotive communication device, including:
acquiring wireless network monitoring data; the wireless network monitoring data comprises position information and time information acquired by a positioning module of the CIR equipment, and wireless signal measurement information acquired by a communication module of the CIR equipment of network signals residing along the line;
analyzing and warehousing wireless network monitoring data to obtain standard data; the standard data comprises an identification part, a data part and a position information part;
processing the standard data and outputting a corresponding monitoring result; the monitoring result comprises an equipment performance monitoring result, a network state monitoring result and an abnormal positioning result.
In one embodiment, the standard data is structured data;
the method comprises the steps of analyzing and warehousing wireless network monitoring data to obtain standard data, and comprises the following steps:
adopting a binary analysis rule to read the numerical value and the identification of the wireless network monitoring data to obtain analysis data;
and carrying out time deviation tracking and geographic adaptation on the analyzed data to obtain structured data.
In one embodiment, the identification part comprises any one or any combination of the following identifications: TrainID, CIR equipment identification, CIR equipment model, cell ID and timestamp; the data part comprises any one or any combination of the following data: serving cell signal strength, serving cell signal quality, and neighbor cell signal strength; the position information part comprises longitude and latitude;
the location information includes positioning information; the time information includes standard time service information.
In one embodiment, the step of processing the standard data and outputting the corresponding monitoring result comprises:
performing signal characteristic analysis and data comparison on the standard data to obtain a device performance monitoring result; the data comparison comprises comparison of standard data and equipment historical data, and comparison of the standard data of the CIR equipment and the standard data of the CIR equipment on the same line;
processing standard data by adopting a data model based on network historical data to obtain a network state monitoring result; the data model comprises an arithmetic mean model, a variance model and/or a convergence model;
and displaying the standard data by adopting a GIS to obtain an abnormal positioning result.
In one embodiment, the equipment performance monitoring result comprises a stability monitoring result of a radio frequency receiving part of the CIR equipment; the network state monitoring result comprises an abnormal state of the network along the line and an abnormal state of the equipment; the abnormal positioning result comprises the positioning of the abnormal equipment, the positioning of the abnormal network, the fluctuation range and the frequency.
A locomotive communication equipment monitoring device comprising:
the data acquisition unit is used for acquiring wireless network monitoring data; the wireless network monitoring data comprises position information and time information acquired by a positioning module of the CIR equipment, and wireless signal measurement information acquired by a communication module of the CIR equipment of network signals residing along the line;
the analysis unit is used for analyzing and warehousing the wireless network monitoring data to obtain standard data; the standard data comprises an identification part, a data part and a position information part;
the monitoring unit is used for processing the standard data and outputting a corresponding monitoring result; the monitoring result comprises an equipment performance monitoring result, a network state monitoring result and an abnormal positioning result.
In one embodiment, the monitoring unit comprises:
the equipment detection module is used for carrying out signal characteristic analysis and data comparison on the standard data to obtain an equipment performance monitoring result; the data comparison comprises comparison of standard data and equipment historical data, and comparison of the standard data of the CIR equipment and the standard data of the CIR equipment on the same line;
the wireless network detection module is used for processing the standard data by adopting a data model based on the network historical data to obtain a network state monitoring result; the data model comprises an arithmetic mean model, a variance model and/or a convergence model;
and the geographic information module is used for presenting the standard data by adopting a GIS (geographic information system) to obtain an abnormal positioning result.
A data processing server comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of the method when executing the computer program.
A locomotive communication equipment monitoring system comprises a CIR equipment and the data processing server; wherein, the CIR equipment is connected with the data processing server through a railway wireless private network or a railway wireless public network.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
One of the above technical solutions has the following advantages and beneficial effects:
the method can acquire wireless network monitoring data, specifically, the measured data of a communication module in CIR locomotive comprehensive wireless communication equipment and the position information of a positioning module are extracted, then analyzed and put in storage to obtain standard data, the standard data are processed, and a monitoring result is output; the method can perform geographic adaptation on all measurement data according to positioning and time information after data adaptation and calibration, so that the matched and sorted data (standard data) simultaneously have the attributes of equipment identification, a measurement entity, time and geographic information (the standard data comprises an identification part, a data part and a position information part), and on the basis, statistics and result presentation of two dimensions (a network side and a CIR equipment side) and different granularities can be constructed. The method and the device are suitable for timely, accurate and efficient monitoring of the performance of the wireless communication network where the railway mobile equipment is located.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments or the conventional technologies of the present application, the drawings used in the descriptions of the embodiments or the conventional technologies will be briefly introduced below, it is obvious that the drawings in the following descriptions are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a diagram of an exemplary embodiment of a method for monitoring a locomotive communications device;
FIG. 2 is a schematic flow diagram of a method for monitoring locomotive communications equipment in one embodiment;
FIG. 3 is a schematic flow chart illustrating the steps of parsing the standard data for storage according to an embodiment;
FIG. 4 is a schematic flow chart diagram illustrating the processing of standard data to obtain monitoring results in one embodiment;
FIG. 5 is a block diagram of an exemplary locomotive communications equipment monitoring device;
fig. 6 is an internal configuration diagram of a data processing server in one embodiment.
Detailed Description
To facilitate an understanding of the present application, the present application will now be described more fully with reference to the accompanying drawings. Embodiments of the present application are set forth in the accompanying drawings. This application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
It will be understood that when an element is referred to as being "connected" to another element, it can be directly connected to the other element or be connected to the other element through intervening elements. Further, "connection" in the following embodiments is understood to mean "electrical connection", "communication connection", or the like, if there is a transfer of electrical signals or data between the connected objects.
As used herein, the singular forms "a", "an" and "the" may include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises/comprising," "includes" or "including," etc., specify the presence of stated features, integers, steps, operations, components, parts, or combinations thereof, but do not preclude the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof. Also, as used in this specification, the term "and/or" includes any and all combinations of the associated listed items.
In the conventional scheme, a measurement log of a special test device is required to be used for statistical analysis, the test cost is high, and in the conventional scheme, measurement information of wireless signals of a communication unit is discarded after power control, cell reselection and switching related judgment are carried out in a CIR, so that the measurement information cannot be effectively utilized. Thirdly, the conventional OMC (Operation and Maintenance Center) statistical method cannot accurately locate the abnormal problem position, cannot distinguish the CIR terminal, and cannot provide the measurement information of the wireless network channel level.
The locomotive integrated wireless communication equipment continuously monitors the performance of a wireless network (such as signal strength of a service base station cell and a plurality of neighbor cells and quality of the service cell) through the communication module when undertaking a vehicle-ground communication task, and further can effectively monitor the working state and the network condition based on the acquired data. The locomotive integrated wireless communication equipment can realize low-cost acquisition and continuous sampling of wireless monitoring data; the wireless network signal monitoring system can monitor wireless network signal conditions and can reflect the self state of the working equipment.
Furthermore, the method does not need to additionally add equipment, can be based on the existing CIR locomotive integrated wireless communication equipment, and can be used for constructing the analysis for accurately and efficiently evaluating the wireless network signal condition and the self state of the working equipment according to the sampling data measured by the railway mobile communication wireless signals, so that the test cost is greatly reduced compared with the traditional method for carrying out statistical analysis on the measurement log adopting special test equipment, meanwhile, the state of the CIR locomotive integrated wireless communication equipment is also subjected to system analysis, and the method has the advantages of high analysis precision and efficiency, wide application range and the like.
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The locomotive communication equipment monitoring method provided by the application can be applied to the application environment shown in fig. 1. Where the CIR device 102 communicates with the server 104 over a network. In some embodiments, the network may be implemented using a railway wireless private network and/or a railway wireless public network. Further, the CIR device 102 may refer to a locomotive integrated wireless communication device, and the CIR is a special device for monitoring locomotive electronic equipment; the method takes the CIR locomotive integrated wireless communication equipment as a data source, does not need to change the structure of the CIR locomotive integrated wireless communication equipment, and does not need to increase the load of the CIR locomotive integrated wireless communication equipment; the method and the device can lead out the measurement data (the measurement data can meet the 3GPP communication specification) and the positioning data in the communication radio frequency module in the CIR locomotive integrated wireless communication equipment, and realize the statistics aiming at the specific CIR equipment and the accurate geographic informatization of the data.
The server 104 in the present application may be implemented by an independent server or a server cluster composed of a plurality of servers; in some embodiments, the server 104 may be a data processing server.
The application can apply network Communication technologies such as 2G (2-Generation wireless telephone Technology, second-Generation Mobile phone Communication Technology specification), 4G (the 4th Generation Mobile Communication Technology, fourth-Generation Mobile Communication Technology) and future 5G (5th-Generation Mobile Communication Technology, fifth-Generation Mobile Communication Technology) to the railway wireless Communication private network, and simultaneously incorporate various satellite positioning modules, thereby automatically realizing seamless switching between a 450M simulation section and Mobile network digital Communication sections such as 2G and 4G. It should be noted that the present application is applicable to mobile communication network systems of various standards (including 2G, 3G, 4G, 5G and subsequent standards).
In one embodiment, as shown in fig. 2, a method for monitoring a locomotive communication device is provided, which is described by taking the method as an example applied to the server in fig. 1, and comprises the following steps:
step 202, acquiring wireless network monitoring data;
the wireless network monitoring data can comprise position information and time information acquired by a positioning module of the CIR equipment, and wireless signal measurement information acquired by a communication module of the CIR equipment of network signals residing along the line.
Specifically, the server may be provided with a data acquisition unit for acquiring wireless network monitoring data; namely, real-time wireless network monitoring data of the CIR can be transmitted to the data acquisition unit in real time through a railway wireless private network or a public network.
Furthermore, the CIR locomotive integrated wireless communication device in the application can continuously measure the resident network signal no matter in a standby mode (idle) state or a dedicated mode (dedicated), and then two dimensions of a network side and a terminal side can be accurately represented at the same time conveniently by outputting, storing and processing the measurement.
In one embodiment, the location information may include positioning information; the time information includes standard time service information.
Specifically, the communication module in the present application may be part of CIR equipment; the communication module mainly comprises an uplink and downlink baseband coding modulation part and a radio frequency part, measurement data is extracted from a radio frequency module, the radio frequency module can continuously measure a network signal where the radio frequency module resides under the condition that equipment is powered up, no matter in a standby mode (idle) state or a dedicated mode (dedicated), a sampling interval can be set according to actual conditions, and values can be in various modes such as an average value or a weighted average value in a sampling period.
In some embodiments, the positioning module in the present application may be implemented by a satellite positioning unit; the satellite positioning unit may be part of a CIR apparatus; in the present application, the geographic information (location information) may be from a standard output of a GPS (Global Positioning System) or a beidou Positioning module, and a sample of standard time (time information) is also taken from the satellite Positioning unit.
It should be noted that, in the present application, the communication module and the satellite positioning unit all belong to the components of the existing locomotive integrated wireless communication equipment CIR; in actual application, the communication module and the satellite positioning unit can measure, collect and operate in respective normal working processes, the existing functions of the communication module and the satellite positioning unit are not required to be changed, in addition, the communication module and the satellite positioning unit are provided to export, store and utilize wireless signal measurement information, position information and standard time service information which are respectively output by the communication unit and the satellite positioning unit, and the statistics of specific CIR equipment and the accurate geographic informatization of data are realized.
Step 204, analyzing and warehousing wireless network monitoring data to obtain standard data; the standard data includes an identification portion, a data portion, and a location information portion.
Specifically, real-time wireless network monitoring data of the CIR can be transmitted to the server in real time through a railway wireless private network or a public network, and is analyzed and stored in the server. In some embodiments, wireless network monitoring data for the CIR may also be downloaded during CIR in-out-of-library detection. The server can be provided with a data acquisition unit, and the data acquisition unit executes the analysis and warehousing work.
Furthermore, the data can be continuously analyzed and put in storage, and meanwhile, data support can be provided for subsequent processing of the server. For example, the time sequence stability and complete identification structured data are provided for the equipment detection module, the wireless network detection module and the geographic information module.
In one embodiment, the standard data is structured data; as shown in fig. 3, the step of analyzing and warehousing the wireless network monitoring data to obtain standard data may include:
step 302, adopting a binary analysis rule to perform numerical reading and identification reading on wireless network monitoring data to obtain analysis data;
and 304, carrying out time deviation tracking and geographic adaptation on the analyzed data to obtain structured data.
Specifically, the parsing and storage in the present application can be implemented by the following processes: the original data of the wireless network monitoring data is binary, and the wireless network monitoring data is proposed to be analyzed into a readable numerical value or an identifier according to a specification (namely a binary analysis rule).
Further, GPS is different as standard time and data processing server time, for which the present application proposes to perform bias tracking. In addition, the data adaptation and calibration are carried out on all the measurement data (wireless network monitoring data) through geographic adaptation according to the positioning and time information, so that the matched and sorted data (structured data) has the attributes of equipment identification, a measurement entity, time and geographic information at the same time.
In one embodiment, the identification part comprises any one or any combination of the following identifications: a TrainID, a CIR equipment identification, a CIR equipment model, a cell ID (identity document) and a time stamp; the data part comprises any one or any combination of the following data: serving cell signal strength, serving cell signal quality, and neighbor cell signal strength; the position information part comprises longitude and latitude;
specifically, the standard data in the present application may be structured data; further, the data body of the structured data may include the following three aspects:
i. the identification portion includes: TrainID, CIR equipment identification, CIR equipment model, cell ID, and timestamp.
The data portion comprises: serving cell signal strength and quality (e.g., RSRP, RSRQ, RSSI, SINA), neighbor cell signal strength (e.g., RSRP, RSRQ, RSSI).
Position information part: and (4) latitude and longitude.
Wherein, RSRP may refer to Reference Signal Receiving Power, i.e. Reference Signal received Power; RSRQ may refer to Reference Signal Receiving Quality, i.e., LTE Reference Signal received Quality; RSSI may refer to Received Signal Strength Indication.
Step 206, processing the standard data and outputting a corresponding monitoring result; the monitoring result comprises an equipment performance monitoring result, a network state monitoring result and an abnormal positioning result.
Specifically, the method and the device can process standard data and output corresponding monitoring results. Wherein, a monitoring unit can be configured in the server to realize the process of processing the standard data and outputting the monitoring result.
In the present application, the monitoring result may include an equipment performance monitoring result, a network state monitoring result, and an anomaly positioning result, that is, statistics and result presentation of two dimensions (a network side and a CIR equipment side) and different granularities are constructed in the present application. Wherein, the granularity can comprise time strength and interval granularity; the time granularity may refer to the interval of time stamps, i.e. the time interval of the measurement. The interval granularity can refer to a small section of railway, wireless network measured values are reserved for each time of one vehicle in the interval granularity, and a large number of values can be used for analyzing the average value, the discreteness, the deviation degree and the like of the values.
In the present application, the measurement time interval of wireless network signal parameters (level, quality, etc.) of CIR can be defined, and the time stamp and GPS positioning tag can be used to calculate the granularity of railway line section.
In one embodiment, the device performance monitoring result may include a stability monitoring result of a radio frequency receiving part of the CIR device; the network state monitoring result comprises an abnormal state of the network along the line and an abnormal state of the equipment; the abnormal positioning result comprises the positioning of the abnormal equipment, the positioning of the abnormal network, the fluctuation range and the frequency.
Specifically, the method can obtain the stability monitoring result of the radio frequency receiving part of the CIR equipment, the abnormal state monitoring result, and the abnormal equipment and network positioning.
In one embodiment, as shown in fig. 4, the step of processing the standard data and outputting the corresponding monitoring result may include:
step 402, performing signal characteristic analysis and data comparison on the standard data to obtain a device performance monitoring result; the data comparison comprises comparison of standard data and equipment historical data, and comparison of the standard data of the CIR equipment and the standard data of the CIR equipment on the same line;
step 404, processing standard data by using a data model based on network historical data to obtain a network state monitoring result; the data model comprises an arithmetic mean model, a variance model and/or a convergence model;
and 406, displaying the standard data by adopting a GIS to obtain an abnormal positioning result.
Specifically, the server in the present application may configure corresponding modules to implement the above functions. For example, a monitoring unit may be configured in the server, and the monitoring unit may include a device detection module, a wireless network detection module, and a geographic information module. The data acquisition unit inputs standard data into the monitoring unit, so that structured data with stable time sequence and complete identification are provided for the equipment detection module, the wireless network detection module and the geographic information module; the following is described with reference to specific examples:
equipment detection module (stability monitoring of CIR radio frequency receive part): standard data of the data acquisition unit is received, performance degradation and abnormal conditions of a communication module of the CIR equipment can be found through characteristic analysis of signals, historical data trend comparison of the CIR equipment and comprehensive comparison of signals of other CIR equipment on the same line, and maintenance personnel are reminded to carry out equipment maintenance and equipment replacement processing. In which early warning of most of the potential faults that are not readily noticeable as a result of gradual device aging can be achieved.
Wireless network detection module (continuous measurement information along wireless network): the standard data of the data acquisition unit is received, and the measurement data of the communication module in the CIR locomotive integrated wireless communication equipment can comprise: the signal strength and quality of the serving cell (such as RSRP, RSRQ, RSSI, SINA) and the signal strength of the neighbor cell (such as RSRP, RSRQ, RSSI) can conveniently obtain data of all lines and all time periods. A historical model library is established (i.e., network historical data can be compared with relevant signals in a correlation manner), and various algorithms (i.e., data models, such as arithmetic mean, variance, convergence algorithm, etc.) can be applied to the historical model library.
The relevant signal may refer to a value of a selected train in one direction, that is, the serving cell signal strength and quality and the neighbor cell signal strength of the selected train. The selected train number can run in the preset time and line, the regulation and control of the train can be realized through a locomotive communication terminal, the terminal is responsible for the wireless communication of train control and train regulation, and the locomotive number of the locomotive and the communication terminal equipment number have a corresponding relation. Furthermore, the driving direction can be judged through the longitude and latitude and the time stamp of the GPS, namely, the uplink and downlink driving directions are distinguished.
In the application, the wireless network detection module can find the abnormal change (namely the abnormal state of the network) in the interval of the wireless network by comparing the standard data with the historical data; the performance difference of the equipment can be found by comparing different train numbers at the same position (interval), and the problem of the equipment (namely the abnormal state of the equipment) is the overlarge deviation.
Further, a geographic information module (data geographic information): the method comprises the steps of receiving standard data of a data acquisition unit, wherein positioning Information is the basis of data Geographic Information, any acquisition Information in the CIR locomotive comprehensive wireless communication equipment can be combined with longitude and latitude, various data can be presented on a Geographic Information System (GIS), the method is suitable for geometric algorithms of various Geographic Information, the range size and the occurrence frequency of wireless abnormity and fluctuation can be visually displayed, the positioning abnormity of maintenance personnel is facilitated, the network can be adjusted to be closed in time, and the workload of field test and investigation of the maintenance personnel is greatly reduced.
According to the locomotive communication equipment monitoring method, the measured data of the communication module in the CIR locomotive comprehensive wireless communication equipment and the position information of the positioning module are extracted, then analyzed and put in storage to obtain standard data, the standard data are processed, and a monitoring result is output; the method can perform geographic adaptation on all measurement data according to positioning and time information after data adaptation and calibration, so that the matched and sorted data (standard data) simultaneously have the attributes of equipment identification, a measurement entity, time and geographic information (the standard data comprises an identification part, a data part and a position information part), and on the basis, statistics and result presentation of two dimensions (a network side and a CIR equipment side) and different granularities can be constructed. The method and the device are suitable for timely, accurate and efficient monitoring of the performance of the wireless communication network where the railway mobile equipment is located.
It should be understood that although the various steps in the flow charts of fig. 2-4 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-4 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 5, there is provided a locomotive communication equipment monitoring device comprising:
a data acquisition unit 510, configured to acquire wireless network monitoring data; the wireless network monitoring data comprises position information and time information acquired by a positioning module of the CIR equipment, and wireless signal measurement information acquired by a communication module of the CIR equipment of network signals residing along the line;
the analysis unit 520 is used for analyzing and warehousing the wireless network monitoring data to obtain standard data; the standard data comprises an identification part, a data part and a position information part;
the monitoring unit 530 is used for processing the standard data and outputting a corresponding monitoring result; the monitoring result comprises an equipment performance monitoring result, a network state monitoring result and an abnormal positioning result.
In one embodiment, the monitoring unit 530 may include:
the equipment detection module is used for carrying out signal characteristic analysis and data comparison on the standard data to obtain an equipment performance monitoring result; the data comparison comprises comparison of standard data and equipment historical data, and comparison of the standard data of the CIR equipment and the standard data of the CIR equipment on the same line;
the wireless network detection module is used for processing the standard data by adopting a data model based on the network historical data to obtain a network state monitoring result; the data model comprises an arithmetic mean model, a variance model and/or a convergence model;
and the geographic information module is used for presenting the standard data by adopting a GIS (geographic information system) to obtain an abnormal positioning result.
In one embodiment, the standard data is structured data; the parsing unit 520 may include:
the analysis module is used for reading the numerical value and the identification of the wireless network monitoring data by adopting a binary analysis rule to obtain analysis data;
and the tracking adaptation module is used for carrying out time deviation tracking and geographic adaptation on the analysis data to obtain structured data.
In one embodiment, the identification part comprises any one or any combination of the following identifications: TrainID, CIR equipment identification, CIR equipment model, cell ID and timestamp; the data part comprises any one or any combination of the following data: serving cell signal strength, serving cell signal quality, and neighbor cell signal strength; the position information part comprises longitude and latitude;
the location information includes positioning information; the time information includes standard time service information.
In one embodiment, the equipment performance monitoring result comprises a stability monitoring result of a radio frequency receiving part of the CIR equipment; the network state monitoring result comprises an abnormal state of the network along the line and an abnormal state of the equipment; the abnormal positioning result comprises the positioning of the abnormal equipment, the positioning of the abnormal network, the fluctuation range and the frequency.
For specific limitations of the locomotive communication device monitoring apparatus, reference may be made to the above limitations of the locomotive communication device monitoring method, which are not described herein again. The various modules in the locomotive communication equipment monitoring device may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent of a processor in the data processing server, and can also be stored in a memory in the data processing server in a software form, so that the processor can call and execute operations corresponding to the modules. It should be noted that, in the embodiment of the present application, the division of the module is schematic, and is only one logic function division, and there may be another division manner in actual implementation.
In one embodiment, a data processing server is provided, the internal structure of which may be as shown in fig. 6. The data processing server includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the data processing server is configured to provide computing and control capabilities. The memory of the data processing server includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the data processing server is used for storing wireless network monitoring data, standard data, monitoring results and the like. The network interface of the data processing server is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to implement a locomotive communication device monitoring method.
It will be appreciated by those skilled in the art that the architecture shown in fig. 6 is a block diagram of only a portion of the architecture associated with the subject application, and does not constitute a limitation on the data processing servers to which the subject application applies, and that a particular data processing server may include more or less components than those shown, or combine certain components, or have a different arrangement of components.
In one embodiment, a data processing server is provided, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the locomotive communication equipment monitoring method when executing the computer program.
In one embodiment, there is provided a locomotive communication equipment monitoring system, comprising a CIR equipment, and a data processing server as described above; wherein, the CIR equipment is connected with the data processing server through a railway wireless private network or a railway wireless public network.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, the computer program when executed by a processor implementing the locomotive communication device monitoring method described above.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
In the description herein, references to the description of "some embodiments," "other embodiments," "desired embodiments," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, a schematic description of the above terminology may not necessarily refer to the same embodiment or example.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A locomotive communication equipment monitoring method is characterized by comprising the following steps:
acquiring wireless network monitoring data; the wireless network monitoring data comprises position information and time information acquired by a positioning module of the CIR equipment, and wireless signal measurement information acquired by a communication module of the CIR equipment of network signals residing along the line;
analyzing and warehousing the wireless network monitoring data to obtain standard data; the standard data comprises an identification part, a data part and a position information part;
processing the standard data and outputting a corresponding monitoring result; the monitoring result comprises an equipment performance monitoring result, a network state monitoring result and an abnormal positioning result.
2. The locomotive communication equipment monitoring method of claim 1, wherein the standard data is structured data;
analyzing and warehousing the wireless network monitoring data to obtain standard data, wherein the step comprises the following steps of:
reading a value and an identification of the wireless network monitoring data by adopting a binary analysis rule to obtain analysis data;
and carrying out time deviation tracking and geographic adaptation on the analyzed data to obtain the structured data.
3. The locomotive communication equipment monitoring method according to claim 1 or 2,
the identification part comprises any one or any combination of the following identifications: TrainID, CIR equipment identification, CIR equipment model, cell ID and timestamp; the data part comprises any one or any combination of the following data: serving cell signal strength, serving cell signal quality, and neighbor cell signal strength; the position information part comprises longitude and latitude;
the location information comprises positioning information; the time information comprises standard time service information.
4. The locomotive communication equipment monitoring method according to claim 1 or 2, wherein the step of processing the standard data to output a corresponding monitoring result comprises:
performing signal characteristic analysis and data comparison on the standard data to obtain a performance monitoring result of the equipment; the data comparison comprises the comparison of the standard data with equipment historical data and the comparison of the standard data of the CIR equipment and the standard data of the CIR equipment on the same line;
processing the standard data by adopting a data model based on network historical data to obtain a network state monitoring result; the data model comprises an arithmetic mean model, a variance model and/or a convergence model;
and displaying the standard data by adopting a GIS to obtain the abnormal positioning result.
5. The locomotive communication equipment monitoring method of claim 4,
the equipment performance monitoring result comprises a stability monitoring result of a radio frequency receiving part of the CIR equipment; the network state monitoring result comprises an abnormal state of the network along the line and an abnormal state of the equipment; the abnormal positioning result comprises the positioning of the abnormal equipment, the positioning of the abnormal network, the fluctuation range and the frequency.
6. A locomotive communication equipment monitoring device, comprising:
the data acquisition unit is used for acquiring wireless network monitoring data; the wireless network monitoring data comprises position information and time information acquired by a positioning module of the CIR equipment, and wireless signal measurement information acquired by a communication module of the CIR equipment of network signals residing along the line;
the analysis unit is used for analyzing and warehousing the wireless network monitoring data to obtain standard data; the standard data comprises an identification part, a data part and a position information part;
the monitoring unit is used for processing the standard data and outputting a corresponding monitoring result; the monitoring result comprises an equipment performance monitoring result, a network state monitoring result and an abnormal positioning result.
7. The locomotive communication equipment monitoring device of claim 6, wherein the monitoring unit comprises:
the equipment detection module is used for carrying out signal characteristic analysis and data comparison on the standard data to obtain an equipment performance monitoring result; the data comparison comprises the comparison of the standard data with equipment historical data and the comparison of the standard data of the CIR equipment and the standard data of the CIR equipment on the same line;
the wireless network detection module is used for processing the standard data by adopting a data model based on network historical data to obtain a network state monitoring result; the data model comprises an arithmetic mean model, a variance model and/or a convergence model;
and the geographic information module is used for presenting the standard data by adopting a GIS to obtain the abnormal positioning result.
8. A data processing server comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method according to any one of claims 1 to 5 when executing the computer program.
9. A locomotive communication equipment monitoring system comprising a CIR equipment, and a data processing server according to claim 8; and the CIR equipment is connected with the data processing server through a railway wireless private network or a railway wireless public network.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.
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