CN108235353B - Monitoring system of urban rail system based on LTE-M communication - Google Patents
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Abstract
The invention provides a monitoring system of an urban rail system based on LTE-M communication, which can collect data (including service data and signaling data) of each monitoring interface in real time, can analyze target data of each monitoring interface from the collected data, can obtain shared data among the interfaces, and can further perform statistical analysis and display on the target data and the shared data, so that a user can comprehensively know the transmission condition of the data of the urban rail system based on the LTE-M communication at each interface, and can perform statistical analysis on the service data and the signaling data based on target statistical conditions such as vehicle and time period, thereby providing a client basis for the communication fault analysis of the LTE-M system.
Description
Technical Field
The invention relates to the technical field of data monitoring, in particular to a monitoring system of an urban rail system based on LTE-M communication.
Background
The Long Term Evolution-Metro (LTE-M) network integrates the transmission of several services such as a communication Based Train Control System (CBTC), a closed circuit television vehicle-mounted video monitoring System (ims (cctv)), a Passenger Information System (PIS) and the like in an urban rail System through a comprehensive bearer technology, and provides convenience for the simplification of a vehicle-mounted transmission System. With the expansion of the LTE-M network scale and the increase of the LTE-M bearing service range, the requirement on the LTE-M communication quality is increasingly improved.
In the prior art, in order to analyze the fault reason when the LTE-M communication fails, in the prior art, a mode of monitoring vehicle-mounted data of an urban rail system based on the LTE-M communication is adopted, the received and transmitted data are recorded at a vehicle-mounted side, and once the communication fails, the fault reason is analyzed by checking the recorded data. The prior art can not monitor the communication data and the operation condition of the urban rail system based on LTE-M communication in real time, and the monitored data are dispersed in respective equipment and are not beneficial to comprehensive analysis.
Disclosure of Invention
In view of the above, the present invention provides a monitoring system for an urban rail system based on LTE-M communication, which is used to solve the problems that the existing monitoring method cannot monitor the communication data and the operation condition of the urban rail system based on LTE-M communication in real time, and the monitored data are relatively dispersed in respective devices and are not beneficial to comprehensive analysis, and the technical scheme is as follows:
a monitoring system of an urban rail system based on LTE-M communication comprises: the data acquisition unit, the data processing unit, the data storage unit, the data analysis unit and the data display unit;
the data acquisition unit is used for acquiring the service data of each service interface and the signaling data of each signaling interface in real time and sending the service data of each service interface and the signaling data of each signaling interface to the data processing unit;
the data processing unit is used for analyzing target information from the service data of each service interface and the signaling data of each signaling interface, obtaining an analysis result corresponding to each interface, and determining shared data from the analysis results corresponding to each interface, wherein the shared data is data which has an association relationship with data of other interfaces in the analysis results corresponding to each interface;
the data storage unit is used for storing the analysis results corresponding to the interfaces and the data which needs to be shared with other interfaces;
the data analysis unit is used for acquiring data matched with the target query condition from the data stored in the data storage unit based on the target query condition to acquire a query result, or performing statistical analysis on the data stored in the data storage unit based on the target statistical condition to acquire a statistical analysis result;
and the data display unit is used for displaying the query result or the statistical analysis result according to a preset display mode.
Wherein the data processing unit includes: the system comprises a service data analysis unit, a signaling data analysis unit and an associated synchronization unit;
the service data analysis unit comprises: the S1-U interface processing unit and the SGi interface processing unit;
the S1-U interface processing unit is used for analyzing first target data from the service data acquired by the acquisition unit at the S1-U interface and sending information which needs to be shared with other interfaces in the first target data to the association synchronization unit;
the SGi interface processing unit is used for analyzing second target data from the service data acquired by the acquisition unit at the SGi interface and sending information which needs to be shared with other interfaces in the second target data to the association synchronization unit;
the signaling data parsing unit includes: S1-MME interface processing unit, S11 interface processing unit and S6a interface processing unit;
the S1-MME interface processing unit is configured to parse third target data from the signaling data acquired by the acquisition unit at the S1-MME interface, and send information that needs to be shared with other interfaces in the third target data to the association synchronization unit;
the S11 interface processing unit is configured to parse fourth target data from the signaling data acquired by the acquisition unit at the S11 interface, and send information that needs to be shared with other interfaces in the fourth target data to the association synchronization unit;
the S6a interface processing unit is configured to parse fifth target data from the signaling data acquired by the acquisition unit at the S6a interface, and send information that needs to be shared with other interfaces in the fifth target data to the association synchronization unit;
and the associated synchronization unit is used for receiving and storing the data which is sent by each interface processing unit and needs to be shared with other interfaces, and sending the shared data corresponding to the subscription request to the corresponding interface processing unit based on the subscription request of each interface processing unit.
The association synchronization unit is specifically configured to acquire the type of the data requesting subscription from the subscription request, determine, from the received shared data, data of the same type as the data requesting subscription as shared data corresponding to the subscription request, and send the shared data corresponding to the subscription request to a corresponding interface processing unit.
The data acquisition unit is specifically configured to identify a target feature of the acquired data, determine a target interface to which the acquired data belongs through the target feature, and send the acquired data to an interface processing unit corresponding to the target interface based on the target interface.
The comprehensive analysis unit is specifically configured to count the data stored in the data storage unit based on train information and a time period.
Wherein, the data acquisition unit comprises an acquisition server;
and the acquisition server is used for acquiring the data of each interface in a port mirroring mode when the total data volume of each interface is smaller than a first preset value.
Wherein the data acquisition unit comprises: the system comprises a network splitter and a plurality of acquisition servers;
the network splitter is used for splitting the data of each interface to the plurality of acquisition servers when the total data volume of each interface is greater than a second preset value;
each acquisition server is used for acquiring data distributed by the network splitter.
Wherein each of the S1-U interface processing unit, the SGi interface processing unit, the S1-MME interface processing unit, the S11 interface processing unit, and the S6a interface processing unit includes at least one processing server, and the at least one processing server processes data of a corresponding interface.
The data storage unit stores the data of each interface according to the interface type by adopting a relational database, and the data of each interface comprises the data analyzed and obtained by the interface processing unit corresponding to the interface and the data shared by other interfaces acquired from the associated synchronization unit.
The monitoring system of the urban rail system based on LTE-M communication further comprises: a network management unit;
the network management unit is used for monitoring the use conditions of the memories, the CPUs and the hard disks of the acquisition server and the processing server and sending an alarm message when the acquisition server or the processing server is abnormal.
The technical scheme has the following beneficial effects:
the monitoring system of the urban rail system based on LTE-M communication provided by the invention can acquire data (including service data and signaling data) of each monitoring interface in real time, can analyze target data of each monitoring interface from the acquired data, can also obtain shared data among each interface, and further can perform statistical analysis and display on the target data and the shared data, so that a user can comprehensively know the transmission condition of the data of the urban rail system based on LTE-M communication at each interface, and can perform statistical analysis on the service data and the signaling data based on target statistical conditions such as vehicle and time period, thereby providing a client basis for the communication fault analysis of the LTE-M system.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a monitoring system of an urban rail system based on LTE-M communication according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an acquisition unit in a monitoring system of an urban rail system based on LTE-M communication according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a data processing unit in a monitoring system of an urban rail system based on LTE-M communication according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An embodiment of the present invention provides a monitoring system for an urban rail system based on LTE-M communication, please refer to fig. 1, which shows a schematic structural diagram of the monitoring system, and may include: the device comprises a data acquisition unit 101, a data processing unit 102, a data storage unit 103, a data analysis unit 104 and a data display unit 105. Wherein:
the data acquisition unit 101 is configured to acquire service data of each service interface and signaling data of each signaling interface, and send the service data of each service interface and the signaling data of each signaling interface to the data processing unit.
The data processing unit 102 is configured to parse target information from the service data of each service interface and the signaling data of each signaling interface, obtain a parsing result corresponding to each interface, and determine shared data from the parsing result corresponding to each interface.
The shared data is data which has an incidence relation with the data of other interfaces in the analysis result corresponding to each interface
In this embodiment, the target information parsed from the traffic data and the interface data by the data processing unit 102 may be a critical cell. Specifically, the data processing unit 102 needs to extract the key cells for each piece of signaling data or service data, where the key cells may include key cells associated with the same user signaling in the same interface signaling, key cells associated with the same process signaling, key cells associated between signaling, and cells for presentation and analysis.
And a data storage unit 103, configured to store analysis results and shared data corresponding to each interface.
And the data analysis unit 104 is configured to obtain data matching the target query condition from the data stored in the data storage unit based on the target query condition, and obtain a query result, or perform statistical analysis on the data stored in the data storage unit based on the target statistical condition, and obtain a statistical analysis result.
The target query condition may be one or more of a vehicle number, a time period, a locomotive number, a line, and an IMSI/MSISDN, and the target statistical condition may also be one or more of a vehicle number, a time period, a locomotive number, a line, an IMSI/MSISDN.
And the data display unit 105 is configured to display the query result or the statistical analysis result according to a preset display mode.
The preset display mode may be, but is not limited to, a report and a graphic illustration.
The monitoring system of the urban rail system based on LTE-M communication provided by the embodiment of the invention can acquire data (including service data and signaling data) of each monitoring interface in real time, can analyze target data of each monitoring interface from the acquired data, can obtain shared data among each interface, and further can perform statistical analysis and display on the target data and the shared data, so that a user can comprehensively know the transmission condition of the data of the urban rail system based on LTE-M communication at each interface, and can perform statistical analysis on the service data and the signaling data based on target statistical conditions such as vehicle and time period, thereby providing objective basis for the communication fault analysis of the LTE-M system.
In the monitoring system of the urban rail system based on LTE-M communication provided in the above embodiment, the data acquisition unit 101 may be implemented in various ways. In one possible implementation, the data acquisition unit includes an acquisition server.
And the acquisition server is used for acquiring the data of each interface in a port mirroring mode when the total data volume of each interface is smaller than a first preset value.
That is, when the data volume of each interface is small, in order to save network resources and reduce the used devices, one server is used to collect the data of all the interfaces.
In another possible implementation manner, as shown in fig. 2, the data acquisition unit may include: a network splitter 201 and a plurality of acquisition servers 202. Wherein:
and the network splitter 201 is configured to split data of each interface to multiple collection servers when a total data amount of each interface is greater than a second preset value.
Each collecting server 202 is used for collecting data shunted by the network shunt.
That is, when the data amount of each interface is large, in order to improve the data collection efficiency, the data of each interface is distributed to a plurality of collection servers through a network splitter, and the data of each interface is collected by the plurality of collection servers at the same time.
Referring to fig. 3, an interface schematic diagram of the data processing unit 102 in the urban rail system based on LTE-M communication provided in the foregoing embodiment is shown, because the monitoring interface according to the embodiment of the present invention includes a signaling interface and a service interface, in order to process data of the two types of interfaces respectively, the data processing unit 102 may include a service data parsing unit 301 and a signaling data parsing unit 302, and in view of the relevance of data of different interfaces, the data processing unit 102 may further include a relevance synchronization unit 303.
The signaling interface may include an S1-MME interface, an S11 interface, and an S6a interface, and the service interface includes an S1-U interface and an SGi interface.
In order to process the data of each interface separately, the service data parsing unit 301 may further include: S1-U interface processing unit 3011 and SGi interface processing unit 3012, the signaling data parsing unit 302 may include S1-MME interface processing unit 3021, S11 interface processing unit 3022, and S6a interface processing unit 3033.
Because each monitoring interface corresponds to an interface processing unit, after acquiring data of each interface, the acquisition unit 101 needs to send the data of each interface to the corresponding interface processing unit for processing. Wherein the target feature may be, but is not limited to, an IP address, a port, a protocol type, an interface type, etc.
The S1-U interface processing unit 3011 is configured to parse the first target data from the service data acquired by the acquisition unit 101 through the S1-U interface, and send information that needs to be shared with other interface processing units in the first target data to the association synchronization unit.
The SGi interface processing unit 3012 is configured to parse the second target data from the service data acquired by the acquisition unit at the SGi interface, and send information that needs to be shared with other interface processing units in the second target data to the association synchronization unit.
The S1-MME interface processing unit 3021 is configured to parse the third target data from the signaling data acquired by the acquisition unit at the S1-MME interface, and send information that needs to be shared with other interface processing units in the third target data to the association synchronization unit.
The S11 interface processing unit 3022 is configured to parse the fourth target data from the signaling data collected by the collecting unit at the S11 interface, and send information that needs to be shared with other interface processing units in the fourth target data to the associated synchronization unit.
The S6a interface processing unit 3023 is configured to parse the fifth target data from the signaling data acquired by the acquisition unit at the S6a interface, and send information that needs to be shared with other interface processing units in the fifth target data to the association synchronization unit.
And the association synchronization unit 303 is configured to receive and store data that needs to be shared with other interface processing units and is sent by each interface processing unit, and send shared information corresponding to the subscription request to the corresponding interface processing unit based on the subscription request of each interface processing unit.
It should be noted that the S1-U interface processing unit 3011, the SGi interface processing unit 3012, the S1-MME interface processing unit 3021, the S11 interface processing unit 3022, and the S6a interface processing unit 3023 may send a subscription request to the association synchronization unit 303 to obtain subscribed information from the association synchronization unit 303. The information subscribed by the interface processing unit can be data having an association relation with own data.
In a possible implementation manner, if the subscription request sent by each interface processing unit to the association synchronization unit 303 includes the type of the subscribed data, the association synchronization unit 303 is specifically configured to determine, based on the type of the data subscribed by the subscription request, data of the same type as the subscribed data from the shared data as shared data corresponding to the subscription request, and send the shared data corresponding to the subscription request to the corresponding interface processing unit.
Specifically, the association synchronization unit 303 records the types of the interface processing unit and the data subscribed by the interface processing unit after receiving the subscription request from the interface processing unit, and sends the data of the corresponding type to the corresponding interface processing unit once receiving the data of the corresponding type. Therefore, the interface processing unit can obtain the data of the monitoring interface and the data of other interfaces which have incidence relation with the data of the monitoring interface, so that the subsequently analyzed data can more comprehensively and accurately reflect the communication condition of the urban rail system based on LTE-M communication.
In addition, it should be noted that each of the above-mentioned S1-U interface processing unit 3011, SGi interface processing unit 3012, S1-MME interface processing unit 3021, S11 interface processing unit 3022, and S6a interface processing unit 3023 may include at least one processing server, that is, the data of each interface can be processed by one processing server, or can be processed by a plurality of processing servers, the data of a plurality of interfaces can be processed by one processing server, or can be processed by a plurality of processing servers, the number of processing servers used can be determined based on the size of the data amount of the actually received data, for example, the data volume of the S1-U interface is large, a plurality of processing servers can be arranged to process the data of the S1-U interface, and the data volume of the SGi interface is small, and one processing server can be used for processing the data of the SGi interface.
In the monitoring system of the urban rail system based on LTE-M communication provided in the above embodiment, the data storage unit 103 may be a data storage server, and one or more data storage servers may be provided. The data storage server can store the data of each interface according to the interface type by adopting a relational database, and the data of each interface comprises the data obtained by analyzing by the interface processing unit corresponding to the interface and the data shared by other interfaces obtained from the associated synchronization unit.
In one possible implementation, the data storage server may create an S1-U interface data table, an SGi interface data table, an S1-MME interface data table, an S11 interface data table, and an S6a interface data table every day, that is, the data tables are created by date, and the data tables created every day store the data of each interface currently obtained.
In the monitoring system provided in the above embodiment, the data analysis unit 104 may include a data analysis server. The data analysis unit 104 may include a query function and a statistical analysis function.
The query function mainly implements query of signaling data, service data, and switching data, the query conditions may include time period, train number, locomotive number, line, IMSI/MSISDN, and the like, and the signaling detailed information or signaling interaction condition of a certain interface or all interfaces in a certain process may be obtained through query.
The statistical analysis function mainly achieves statistical analysis of network traffic, S1-U frame error, packet loss rate, timeout, switching and the like, namely, the statistical analysis function mainly performs statistics on phenomena such as faults and anomalies, the statistical conditions can include time periods, lines, train numbers, locomotive numbers, IMSI/MSISDN and the like, and statistical results can be displayed in a report form or a graphic legend mode through the data display unit.
The data analysis unit 104 may formulate a plurality of analysis tasks and plans, run in the background and save the results in a database, as desired.
The data presentation unit 105 in the above embodiments may be, but is not limited to, a terminal device such as a PC, a notebook computer, a mobile phone, and a PAD. A manager can input query conditions or statistical conditions through terminal equipment such as a PC, a notebook computer, a mobile phone and a PAD, the terminal equipment sends the query conditions or the statistical conditions to a data analysis server, the data analysis server queries or statistically analyzes data of each interface based on the query conditions or the statistical conditions, then sends query results or statistically analyzed results to the terminal equipment, the terminal equipment displays the query results or statistically analyzed results, the manager can visually know service data, signaling data and the like of each interface through the query results or the statistically analyzed results, and can determine problems such as faults and abnormity based on the statistical results.
The monitoring system of the urban rail system based on LTE-M communication provided by the above embodiment may further include: and a network management unit.
And the network management unit is used for monitoring the use conditions of the CPU, the memory and the hard disk of the acquisition server, the processing server, the storage server and the data analysis server and sending out an alarm message when the acquisition server, the processing server, the storage server or the data analysis server are abnormal.
In a possible implementation manner, when the acquisition server, the processing server, the storage server or the data analysis server is abnormal, the gateway unit may send an alarm message to a terminal of a manager, such as a computer or a mobile phone, so that the manager can know that the server is in fault in time, and take measures to ensure that the whole monitoring system can operate normally.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
In the several embodiments provided in the present application, it should be understood that the disclosed method, apparatus, and device may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment. In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (7)
1. A monitoring system of an urban rail system based on LTE-M communication is characterized by comprising: the data acquisition unit, the data processing unit, the data storage unit, the data analysis unit and the data display unit;
the data acquisition unit is used for acquiring the service data of each service interface and the signaling data of each signaling interface in real time and sending the service data of each service interface and the signaling data of each signaling interface to the data processing unit;
the data processing unit is used for analyzing target information from the service data of each service interface and the signaling data of each signaling interface, obtaining an analysis result corresponding to each interface, and determining shared data from the analysis results corresponding to each interface, wherein the shared data is data which has an association relationship with data of other interfaces in the analysis results corresponding to each interface;
the data storage unit is used for storing the analysis results corresponding to the interfaces and the shared data;
the data analysis unit is used for acquiring data matched with the target query condition from the data stored in the data storage unit based on the target query condition to acquire a query result, or performing statistical analysis on the data stored in the data storage unit based on the target statistical condition to acquire a statistical analysis result;
the data display unit is used for displaying the query result or the statistical analysis result according to a preset display mode, wherein the preset display mode comprises a report and a graphic legend;
the data processing unit includes: the system comprises a service data analysis unit, a signaling data analysis unit and an associated synchronization unit;
the service data analysis unit comprises: the S1-U interface processing unit and the SGi interface processing unit;
the S1-U interface processing unit is used for analyzing first target data from the service data acquired by the acquisition unit at the S1-U interface and sending information which needs to be shared with other interfaces in the first target data to the association synchronization unit;
the SGi interface processing unit is used for analyzing second target data from the service data acquired by the acquisition unit at the SGi interface and sending information which needs to be shared with other interfaces in the second target data to the association synchronization unit;
the signaling data parsing unit includes: S1-MME interface processing unit, S11 interface processing unit and S6a interface processing unit;
the S1-MME interface processing unit is configured to parse third target data from the signaling data acquired by the acquisition unit at the S1-MME interface, and send information that needs to be shared with other interfaces in the third target data to the association synchronization unit;
the S11 interface processing unit is configured to parse fourth target data from the signaling data acquired by the acquisition unit at the S11 interface, and send information that needs to be shared with other interfaces in the fourth target data to the association synchronization unit;
the S6a interface processing unit is configured to parse fifth target data from the signaling data acquired by the acquisition unit at the S6a interface, and send information that needs to be shared with other interfaces in the fifth target data to the association synchronization unit;
the association synchronization unit is used for receiving and storing the data which are sent by each interface processing unit and need to be shared with other interfaces, and sending the shared data corresponding to the subscription request to the corresponding interface processing unit based on the subscription request of each interface processing unit;
the association synchronization unit is specifically configured to acquire the type of the data requesting subscription from the subscription request, determine, from the received shared data, data of the same type as the data requesting subscription as shared data corresponding to the subscription request, and send the shared data corresponding to the subscription request to a corresponding interface processing unit;
the data acquisition unit is specifically configured to identify a target feature of acquired data, determine a target interface to which the acquired data belongs through the target feature, and send the acquired data to an interface processing unit corresponding to the target interface based on the target interface, where the target feature is an IP address, a port, a protocol type, or an interface type.
2. The monitoring system of the urban rail system based on LTE-M communication of claim 1, characterized by that, the comprehensive analysis unit is specifically used for counting the data stored in the data storage unit based on train information and time periods.
3. The monitoring system of the urban rail system based on LTE-M communication of claim 1, characterized in that, the data acquisition unit comprises an acquisition server;
and the acquisition server is used for acquiring the data of each interface in a port mirroring mode when the total data volume of each interface is smaller than a first preset value.
4. The monitoring system of the urban rail system based on LTE-M communication according to claim 1, characterized in that said data acquisition unit comprises: the system comprises a network splitter and a plurality of acquisition servers;
the network splitter is used for splitting the data of each interface to the plurality of acquisition servers when the total data volume of each interface is greater than a second preset value;
each acquisition server is used for acquiring data distributed by the network splitter.
5. The monitoring system for urban rail system based on LTE-M communication according to claim 3 or 4, wherein each of said S1-U interface processing unit, said SGi interface processing unit, said S1-MME interface processing unit, said S11 interface processing unit, and said S6a interface processing unit comprises at least one processing server, and said at least one processing server processes data of a corresponding interface.
6. The monitoring system of the urban rail system based on LTE-M communication of claim 1, wherein the data storage unit stores the data of each interface according to the interface type by using a relational database, and the data of each interface comprises the data analyzed and obtained by the interface processing unit corresponding to the interface and the data shared by other interfaces obtained from the associated synchronization unit.
7. The monitoring system of the urban rail system based on LTE-M communication according to claim 4, further comprising: a network management unit;
the network management unit is used for monitoring the use conditions of the memories, the CPUs and the hard disks of the acquisition server and the processing server and sending an alarm message when the acquisition server or the processing server is abnormal.
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---|---|---|---|---|
CN109413614B (en) * | 2018-09-27 | 2020-11-06 | 北京全路通信信号研究设计院集团有限公司 | Integrated vehicle-ground comprehensive analysis platform |
CN110460501A (en) * | 2019-09-10 | 2019-11-15 | 上海控创信息技术股份有限公司 | The database communication method of rail traffic LTE-M carrying Train Control service communication state |
CN111726778A (en) * | 2020-05-07 | 2020-09-29 | 上海大学 | System and method for monitoring large flow of comprehensive bearing service transmission of rail transit LTE-M communication system based on cloud storage |
CN111818470A (en) * | 2020-07-01 | 2020-10-23 | 中国国家铁路集团有限公司 | Method and device for analyzing trunking communication signaling message in LTE-M system |
CN113382387B (en) * | 2021-06-16 | 2022-06-28 | 上海应用技术大学 | Network quality safety assessment method based on rail transit LTE-M system signaling |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101610524A (en) * | 2008-06-17 | 2009-12-23 | 中兴通讯股份有限公司 | Signalling correlated testing apparatus and method |
CN101969660A (en) * | 2010-10-26 | 2011-02-09 | 北京全路通信信号研究设计院 | Method, device and system for monitoring Igsmr interface |
CN103209041A (en) * | 2013-04-28 | 2013-07-17 | 广州展为通讯技术有限公司 | Data collection method for GSM-R (Global System for Mobile for Railways) network interface |
CN103346905A (en) * | 2013-06-14 | 2013-10-09 | 吴建进 | Method and device for analyzing signaling |
CN104754628A (en) * | 2013-12-31 | 2015-07-01 | 中国移动通信集团山西有限公司 | LET S1 interface based data acquiring association analysis method and device |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10292058B2 (en) * | 2014-12-16 | 2019-05-14 | New Jersey Institute Of Technology | Radio over fiber antenna extender systems and methods for high speed trains |
-
2018
- 2018-01-05 CN CN201810010208.XA patent/CN108235353B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101610524A (en) * | 2008-06-17 | 2009-12-23 | 中兴通讯股份有限公司 | Signalling correlated testing apparatus and method |
CN101969660A (en) * | 2010-10-26 | 2011-02-09 | 北京全路通信信号研究设计院 | Method, device and system for monitoring Igsmr interface |
CN103209041A (en) * | 2013-04-28 | 2013-07-17 | 广州展为通讯技术有限公司 | Data collection method for GSM-R (Global System for Mobile for Railways) network interface |
CN103346905A (en) * | 2013-06-14 | 2013-10-09 | 吴建进 | Method and device for analyzing signaling |
CN104754628A (en) * | 2013-12-31 | 2015-07-01 | 中国移动通信集团山西有限公司 | LET S1 interface based data acquiring association analysis method and device |
Non-Patent Citations (3)
Title |
---|
内蒙古七号信令监测系统的应用与优化;薛瑞卿;《中国优秀硕士学位论文全文数据库信息科技辑(月刊)》;20130215(第2期);第4章,图4-4 * |
基于信令关联与用户识别的LTE高铁感知优化;郭宝等;《现代电信科技》;20171025(第5期);第2章 * |
高速铁路GSM-R网接口检测技术简介;卢伟;《科技传播》;20150908(第17期);第3章,图1 * |
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