Method, system and equipment for monitoring and judging aging of GSM-R radio frequency equipment and medium

Abstract

The invention discloses a GSM-R radio frequency equipment aging monitoring and judging method, system, equipment and medium, and the related method comprises the steps: collecting a measurement report of a time slot level of GSM-R radio frequency equipment, and collecting kilometer post and vehicle speed data; calculating a line virtual capsule through kilometer post and vehicle speed data, encapsulating the line, and mapping a measurement report of a time slot level of the GSM-R radio frequency equipment to the encapsulated line; and for the GSM-R radio frequency equipment in each capsule in the line, the aging of the GSM-R radio frequency equipment is monitored and judged according to the change condition of the measurement report at the time slot level. According to the invention, high-efficiency and dead-corner-free monitoring of the GSM-R radio frequency equipment can be realized, so that the driving efficiency and the driving safety are ensured, special hardware and site construction are not needed, and extra maintenance workload is not increased.

Description

Technical Field

[0001] The present invention relates to wireless network equipment aging monitoring, and in particular to a method, system, equipment and medium for monitoring and judging the aging of GSM-R radio frequency equipment. Background Art

[0002] In recent years, frequent wireless network equipment problems have become the leading cause of CTCS-3 (China Train Control System Level 3) communication timeouts. The main problem is that the wireless network equipment has been used for a long time, and the BSC (Base Station Controller) and base station equipment boards have aged, resulting in an increase in board failures and hidden functional defects.

[0003] like Figure 1 As shown, it is the wireless communication network architecture. The following first introduces the network architecture, and then introduces the current monitoring methods and existing problems.

[0004] 1. Network architecture.

[0005] (1) Mobile core network (NSS).

[0006] The mobile core network mainly completes the switching function and the database functions required for user data management, mobility management, and security management.

[0007] The mobile core network includes: mobile switching center (MSC), home location register (HLR), visitor location register (VLR), authentication center (AUC), etc., as well as data service service support node (SGSN), gateway support node (GGSN), packet switching public data network (PSPDN) and other functional entities. The mobile core network adopts dual backup to ensure network security, and the connection is stable wired mode. The equipment-related alarms are complete, accurate and timely, and the related operation performance fluctuations are also minimal.

[0008] (2) Mobile wireless network (BSS).

[0009] The mobile wireless network is a bridge between the mobile core network and the mobile station (MS), mainly completing wireless communication management and wireless transceiver functions. The mobile wireless network mainly includes two parts: the base station controller (BSC) and the base transceiver station (BTS).

[0010] (2.1) Base station controller.

[0011] The base station controller handles all tasks related to wireless signals, including cell switching, wireless resource management, etc. Located between the mobile switching center and the base transceiver, it has the function of controlling and managing one or more base transceivers, mainly completing the allocation of wireless channels, the control of the transmission power of the base transceiver and mobile station, and the cross-zone channel switching. The base station controller is also a small switch, which aggregates the local network and connects to the mobile switching center through the A interface. The main processing module of this part adopts dual backup to ensure network security, and the connection is a stable wired method. The equipment-related alarms are complete, accurate and timely, and the related operating performance fluctuations are also minimal.

[0012] (2.2) Base transceiver station.

[0013] The wireless transceiver equipment of the base station subsystem responsible for sending and receiving wireless signals is controlled by the base station controller and is mainly responsible for wireless transmission functions, completing functions such as wireless and wired conversion, wireless diversity, wireless channel encryption, frequency hopping, etc. The base station transceiver is connected to the base station controller through the Abis interface and connected to the mobile station through the air interface (Um).

[0014] In addition, the mobile wireless network also includes: transcoding and rate adaptation unit (TRAU), which is usually located between the base station controller and the mobile switching center, and mainly completes the code conversion between 16Kbps RPE-LTP coding and 64Kbps A-law PCM coding. The wired connection part of the base station transceiver connected to the base station controller through the Abis interface is still stable and reliable, the equipment-related alarms are complete, accurate and timely, and the related operating performance fluctuations are also small. The monitoring granularity of the radio frequency part connected to the mobile station through the air interface is the board level, not the minimum granularity of the time slot level, and the performance is also the part with the largest fluctuations in the entire communication system.

[0015] (3) Mobile station.

[0016] Mobile Station (MS) includes mobile equipment (ME) and SIM card: MS is the user equipment of GSM system, which consists of mobile terminal and user identification card. Mobile terminal mainly completes voice signal processing and wireless transmission and reception. Mobile station can be vehicle-mounted station, portable station and handheld device. Due to different terminal types, the shape, function, transmission power and receiving sensitivity of the equipment will be different; SIM card stores all the information required for user authentication and important information related to security and confidentiality to prevent illegal users from intrusion.

[0017] 2. Current monitoring methods.

[0018] The Operation and Maintenance System (OMS) is the operation and maintenance part of the GSM system. All functional units of the GSM system can be connected to the OMS through their respective networks. The OMS can be used to monitor, report status, and diagnose faults of various functional units in the GSM network.

[0019] The operation and maintenance subsystem can be divided into two parts: OMC-S (operation and maintenance center - system part) and OMC-R (operation and maintenance center - wireless part). OMC-S is used for the operation and maintenance of the mobile core network system, and OMC-R is used for the operation and maintenance of the mobile wireless network system. The equipment alarms of the operation and maintenance subsystem are all at the board or functional module level, and the performance of the functional modules inside the board cannot be accurately distinguished.

[0020] 3. Problems with current monitoring methods.

[0021] After years of development, the GSM network has formed a complete equipment monitoring and performance evaluation system. Equipment manufacturers mainly meet the needs of operators. Faced with a huge amount of network source equipment, facilitating maintenance personnel to perform efficient maintenance is the most important goal. The performance degradation of some time slot units due to aging is not within the design monitoring range.

[0022] The railway GSM-R communication system directly uses the operator's operation and maintenance subsystem. The equipment alarms of the operation and maintenance subsystem are all at the board or functional module level. The performance of the functional modules inside the board cannot be completely accurately distinguished. For example, when the performance of individual time slot units in the carrier board degrades (there are 8 time slots on a carrier board), the traditional operation and maintenance subsystem will not generate an alarm. Therefore, there is a hidden danger of monitoring blind spots in the GSM-R scenario that carries high-speed rail vehicle control information. In addition, GSM equipment has been discontinued in recent years, and RF spare parts are all reused and supplemented. The uneven quality has led to a very high proportion of C3 degradation caused by wireless network equipment on the communication side. Therefore, a highly efficient and blind-angle-free monitoring method is needed. Summary of the invention

[0023] The purpose of the present invention is to provide a method, system, device and medium for monitoring and judging the aging of GSM-R radio frequency equipment, which can realize high-efficiency and no-blind-angle monitoring of GSM-R radio frequency equipment, thereby ensuring driving efficiency and driving safety.

[0024] The objective of the present invention is achieved through the following technical solutions:

[0025] A method for monitoring and judging aging of GSM-R radio frequency equipment, comprising:

[0026] Collect the measurement reports of GSM-R radio equipment at the time slot level, as well as the kilometer mark and vehicle speed data;

[0027] Calculate the virtual capsule of the line through the kilometer mark and vehicle speed data, encapsulate the line, and then map the measurement report of the GSM-R radio frequency equipment at the time slot level to the encapsulated line;

[0028] For the GSM-R radio frequency equipment in each capsule in the line, the aging of the GSM-R radio frequency equipment can be monitored and judged according to the changes in the measurement reports at the time slot level.

[0029] A monitoring and judging system for aging of GSM-R radio frequency equipment, used to implement the above method, the system comprises:

[0030] Data collection unit, used to collect the measurement report of GSM-R radio frequency equipment at the time slot level, as well as the kilometer mark and vehicle speed data;

[0031] The data encapsulation and mapping unit is used to calculate the line virtual capsule through the kilometer mark and the vehicle speed data, encapsulate the line, and then map the measurement report of the GSM-R radio frequency device at the time slot level to the encapsulated line;

[0032] The equipment aging monitoring and judgment unit is used to monitor and judge the aging of the GSM-R radio frequency equipment in each capsule in the line according to the changes in the measurement report at the time slot level.

[0033] A processing device, comprising: one or more processors; a memory for storing one or more programs;

[0034] When the one or more programs are executed by the one or more processors, the one or more processors implement the aforementioned method.

[0035] A readable storage medium stores a computer program, which implements the above method when the computer program is executed by a processor.

[0036] It can be seen from the technical solution provided by the present invention that by monitoring the changes in the measurement reports at the time slot level, time slot units with aging problems can be detected, and long-term uninterrupted monitoring can be performed. On the one hand, the entire solution does not require the addition of dedicated hardware and on-site construction, and does not increase additional maintenance workload; on the other hand, it can also ensure driving efficiency and driving safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0038] Figure 1 A schematic diagram of a wireless communication network architecture provided as the background technology of the present invention;

[0039] Figure 2 A flow chart of a method for monitoring and judging aging of a GSM-R radio frequency device provided by an embodiment of the present invention;

[0040] Figure 3 A schematic diagram of collecting measurement and positioning data provided by an embodiment of the present invention;

[0041] Figure 4 A schematic diagram of capturing a situation where a time slot receiving level deviation is large provided by an embodiment of the present invention;

[0042] Figure 5 A schematic diagram of sorting by severity of level deviation provided by an embodiment of the present invention;

[0043] Figure 6 A schematic diagram of a system for monitoring and determining aging of GSM-R radio frequency equipment provided by an embodiment of the present invention;

[0044] Figure 7 A schematic diagram of a processing device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0045] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the protection scope of the present invention.

[0046] First, the terms that may be used in this article are explained as follows:

[0047] The terms "include", "comprises", "contains", "has" or other descriptions with similar semantics should be interpreted as non-exclusive inclusion. For example, including certain technical feature elements (such as raw materials, components, ingredients, carriers, dosage forms, materials, dimensions, parts, components, mechanisms, devices, steps, procedures, methods, reaction conditions, processing conditions, parameters, algorithms, signals, data, products or products, etc.) should be interpreted as including not only certain technical feature elements explicitly listed, but also other technical feature elements known in the art that are not explicitly listed.

[0048] The term "consisting of..." means excluding any technical feature elements not explicitly listed. If this term is used in a claim, it will make the claim closed, so that it does not contain technical feature elements other than the technical feature elements explicitly listed, except for the conventional impurities related to them. If this term only appears in a clause of a claim, it only limits the elements explicitly listed in the clause, and the elements recorded in other clauses are not excluded from the overall claim.

[0049] The following is a detailed description of a method, system, device and medium for monitoring and judging aging of a GSM-R radio frequency device provided by the present invention. The contents not described in detail in the embodiments of the present invention belong to the prior art known to professional and technical personnel in the field. If no specific conditions are specified in the embodiments of the present invention, the conventional conditions in the field or the conditions recommended by the manufacturer shall be followed.

[0050] Embodiment 1

[0051] The embodiment of the present invention provides a method for monitoring and judging the aging of a GSM-R radio frequency device, such as Figure 1 As shown, it mainly includes the following steps:

[0052] Step 1: Collect the measurement report of the GSM-R radio frequency equipment at the time slot level, and collect the kilometer mark and vehicle speed data.

[0053] In the embodiment of the present invention, the measurement report of the time slot level of the GSM-R radio frequency device can be collected through the Abis interface, and the kilometer mark and vehicle speed data can be collected through the PRI interface; wherein, the designated terminal user can be identified as the monitoring object through the Abis interface.

[0054] In the embodiment of the present invention, the Abis interface and PRI interface involved here are both existing interfaces, and the collected data are all within the scope of the prior art. For example, the PRI interface can monitor (CTCS-3) vehicle-mounted equipment, and can provide terminal identification, corresponding location (kilometer mark), vehicle speed and other data, and the data collected through the above interfaces can be achieved through conventional technologies, so the present invention will not go into details.

[0055] Step 2: Calculate the line virtual capsule through the kilometer mark and vehicle speed data, encapsulate the line, and then map the measurement report of the GSM-R radio frequency device at the time slot level to the encapsulated line.

[0056] In the embodiment of the present invention, based on the kilometer mark and vehicle speed data collected in the aforementioned step 1, the line is encapsulated, and each capsule corresponds to a monitoring area. Then, based on the measurement report of the GSM-R radio frequency device time slot level collected in the aforementioned step 1, the data is encapsulated and mapped to the encapsulated line, so that each GSM-R radio frequency device in different monitoring areas can be monitored efficiently and without blind spots.

[0057] Step 3: Based on the measurement data of the GSM-R radio frequency equipment in each capsule in the line and the changes in the measurement report at the time slot level, the aging of the GSM-R radio frequency equipment can be monitored and judged.

[0058] In an embodiment of the present invention, the statistical value of the specified data in the measurement report at the time slot level within the historical period can be calculated by a statistical model, which is called the historical statistical value; and the statistical value of the specified data in the measurement report at the time slot level collected in real time can be calculated by a statistical model, which is called the real-time statistical value; the difference between the real-time statistical value and the historical statistical value is compared, and if the difference exceeds the set threshold value, the corresponding GSM-R radio frequency equipment is given an early warning, thereby realizing the monitoring and judgment of the aging of the GSM-R radio frequency equipment.

[0059] In the embodiment of the present invention, the statistical model includes: an average value statistical model and a standard deviation statistical model; the corresponding statistical values ​​are calculated by the two statistical models respectively, and different threshold values ​​are set for statistical values ​​of different categories; when the difference between the real-time statistical value and the historical statistical value in any category exceeds the corresponding threshold value, the corresponding GSM-R radio frequency equipment is given an early warning. In practical applications, different types of early warnings can be implemented according to different categories. For example, when the average value exceeds the corresponding threshold value, an early warning of performance degradation is generated, and when the standard deviation exceeds the corresponding threshold value, an early warning of unstable equipment operation is generated.

[0060] The above-mentioned scheme provided by the embodiment of the present invention can monitor the changes in the measurement reports at the time slot level, can detect the time slot units with aging problems, and can perform long-term uninterrupted monitoring to ensure driving efficiency and driving safety; moreover, the entire scheme does not require the addition of dedicated hardware and on-site construction, and does not increase additional maintenance workload.

[0061] In order to more clearly demonstrate the technical solution and technical effects provided by the present invention, the method provided by the embodiment of the present invention is described in detail with reference to specific embodiments below.

[0062] 1. Introduction to the principle of realizing time slot monitoring.

[0063] As the usage time increases, the performance of GSM-R radio equipment will gradually decline, which may lead to problems such as reduced communication quality and reduced signal coverage. Therefore, it is very important to monitor the aging of GSM-R radio equipment, which can timely detect changes in equipment performance, provide a basis for equipment maintenance and replacement, and ensure the reliability and stability of railway communications.

[0064] 1. Application of statistical models in aging monitoring.

[0065] In the embodiment of the present invention, the statistical model may include: a mean value statistical model and a standard deviation statistical model. The calculation schemes and related functions of the two statistical models are introduced below.

[0066] (1) Mean value statistical model.

[0067] The calculation formula is expressed as:

[0068]

[0069] in, represents the average value, N is the number of data (i.e. the number of values ​​in the data set), X i is the i-th data, Indicates from the first data X1 to the nth data X n The sum of .

[0070] The definition of average value is: the average value of all data in a period of time, which reflects the overall level of related data. Taking the level data in the timeslot-level measurement report as an example, the average value of the RF signal level can be calculated through the above formula, which reflects the overall level of signal strength.

[0071] Taking the level data in the timeslot-level measurement report as an example, the role of the average value is as follows: In the aging monitoring of GSM-R RF equipment, it reflects the deviation between the transmission or reception signal strength and the average strength of different timeslots in the wireless carrier board over a period of time. By measuring the full amount and recording the level deviation value, the performance deterioration trend of a specific timeslot in the carrier can be observed. If the average value of the level of a specific timeslot has a significant and continuous decrease (more than 3dB) from the average value of the entire board, it may indicate that the carrier board has a weakened transmission or reception capability, and there is an aging problem of the equipment, which needs to be repaired and replaced.

[0072] (2) Standard deviation statistical model.

[0073] The calculation formula is expressed as:

[0074]

[0075] Where σ is the standard deviation, It represents the sum of the squares of the differences between each data point and the mean.

[0076] The standard deviation is a statistic that measures the degree of data dispersion. It reflects the degree of difference between a data point and the average value. Taking the level data in the timeslot-level measurement report as an example, in RF signal analysis, the standard deviation can be used to evaluate the stability of the signal level.

[0077] Taking the level data in the timeslot-level measurement report as an example, the role of the standard deviation is as follows: In the aging monitoring of the GSM-R carrier board, it reflects the fluctuation of the level values ​​of each timeslot in the carrier board over a period of time. A large standard deviation may mean that the equipment performance is unstable and there are potential problems. By comparing the standard deviations of different time periods, the stability of the carrier board equipment performance can be evaluated.

[0078] Based on the above statistical model, the specified data in the measurement report at the time slot level can be calculated to obtain the corresponding average value and standard deviation. Exemplarily, the specified data can be level data; of course, in actual applications, users can make adjustments based on actual conditions or experience, and the present invention is not limited thereto.

[0079] 2. Threshold value setting.

[0080] In the embodiment of the present invention, the thresholds of the mean value and the standard deviation can be set according to the performance requirements and historical data of the device. When the actual measured value exceeds these thresholds, it is considered that the GSM-R radio frequency device has an aging problem.

[0081] 3. Trend analysis.

[0082] Draw the average level and standard deviation in different time periods into a chart (such as a line chart or a scatter plot) to observe its changing trend. If the average level continues to decrease and the standard deviation gradually increases, it indicates that the GSM-R radio equipment has obvious aging.

[0083] 4. Aging assessment.

[0084] The aging degree of RF equipment can be evaluated based on the trend of the average level and standard deviation. Certain threshold values ​​(such as the decrease in the average level and the increase in the standard deviation) can be set to determine whether the equipment needs maintenance or replacement.

[0085] 2. Detailed introduction of the plan.

[0086] 1. Measurement and positioning data collection.

[0087] In the embodiment of the present invention, the measurement data mainly refers to the measurement report of the time slot level of the GSM-R radio frequency equipment, and the data comes from the Abis interface monitoring; the positioning data mainly refers to the kilometer mark and vehicle speed data, and the data comes from the PRI interface monitoring, where the PRI interface is the interface between the mobile switching center (MSC) and the blocking center (RBC).

[0088] In addition, it also involves the cell, carrier frequency, and time slot configuration data, which comes from the system configuration table. These data from the system configuration table are used to determine whether the measurement value is valid, that is, the measurement value and the system configuration must correspond correctly to be valid measurement data.

[0089] In the embodiment of the present invention, a specific terminal user can be identified as a monitoring object through the PRI and Abis interfaces (due to different terminal types, the device's form, function, antenna placement, transmission power and reception sensitivity may vary).

[0090] In addition, the Abis measurement report can also be used to confirm the entity system configuration information, such as discontinuous transmission, frequency hopping, etc.; since discontinuous transmission and frequency hopping will affect the measurement and collection methods, discontinuous transmission and frequency hopping are currently not allowed to be enabled.

[0091] like Figure 3 The figure shows a schematic diagram of collecting measurement and positioning data. In the radio frequency part of the railway GSM-R system, each cell is usually composed of several carriers. The carrier frequencies are divided into two categories: primary carrier frequencies (carrier frequencies containing the system broadcast channel BCCH) and secondary carrier frequencies. In addition to the time slots occupied by BCCH, other service time slots (Time Slots) will periodically measure the channel level, quality, and time advance of the cell during calls. The measurement is reported in real time through the Abis interface to the time slot granularity measurement data of each carrier in the cell. The kilometer mark and vehicle speed data are obtained by real-time analysis through the acquisition PRI interface, and the data collection of the Abis and PRI interfaces is completed independently and synchronously through the acquisition dedicated equipment. The acquisition dedicated equipment involved here is the equipment that has been installed at present, and it mainly completes the cell-level measurement.

[0092] 2. Data processing.

[0093] In the embodiment of the present invention, data processing mainly includes: data preprocessing, line and data encapsulation processing, data organization and data adaptation. Data preprocessing mainly removes some non-compliant data; when encapsulating the line and data, the line is first encapsulated, and then the pre-processed GSM-R radio frequency device time slot level measurement report is encapsulated and mapped to the encapsulated line, that is, the compliant data is filled into the corresponding grid, the data label is completed, and data organization and data adaptation are performed on this basis.

[0094] (1) Data preprocessing: Filter the collected data (measurement reports at the time slot level of GSM-R radio equipment, kilometer mark and vehicle speed data) to remove data that does not meet the specifications or is incomplete; according to statistics, take a set proportion of data under normal distribution from the filtered data. For example, all data can be normally distributed with 80% effective values. Of course, this is only an example. The network and environmental scenarios of different lines are different, and the proportion will be adjusted accordingly. In addition, the kilometer mark and vehicle speed data collected by the PRI interface have missing parts after the above processing. Therefore, data completion is required. Specifically, the missing parts can be fitted and calculated based on the known kilometer mark and vehicle speed information and backfilled to complete the missing parts.

[0095] (2) Line and data encapsulation processing.

[0096] First, the line is encapsulated by combining the pre-processed kilometer mark and vehicle speed data. This part of the encapsulation processing is mainly to serve as the basis for subsequent processing and as an anchor point for data location information; then, the pre-processed GSM-R radio frequency equipment time slot level measurement report is encapsulated and mapped to the encapsulated line. For ease of understanding, the encapsulated line can be regarded as a series of grids. This part is to fill the corresponding input of the pre-processed GSM-R radio frequency equipment time slot level measurement report into the corresponding grid.

[0097] (3) Data organization, that is, the data in the line capsule is stored and managed according to the set structure and rules for subsequent data analysis and mining; the data in the line capsule here is the measurement report of the GSM-R radio equipment time slot level after preprocessing in each line capsule. In the aging monitoring of GSM-R radio equipment, data organization needs to follow the following principles:

[0098] (3.1) Data classification: The data in the line capsule are classified and stored according to the corresponding equipment type, monitoring index, and time to facilitate subsequent data query and analysis.

[0099] (3.2) Data indexing: Establish an index for the classified data to improve the efficiency of data retrieval. A unique identifier can be established for each device or monitoring indicator, and a corresponding index relationship can be established in the database.

[0100] (3.3) Data storage: Select the data storage method and use the relational database MySQL.

[0101] (4) Data adaptation. Data adaptation is the process of converting the data in the line capsule into a form suitable for a specific analysis model or tool processing. In GSM-R RF equipment aging monitoring, data adaptation may include the following aspects:

[0102] (4.1) Data aggregation: Aggregate the data after the above data organization and processing according to the analysis requirements; for example, group and aggregate by cell, carrier frequency, and time slot. Aggregation can improve the representativeness of the data.

[0103] (4.2) Feature extraction: Extract the data required for equipment aging monitoring from the data, such as RF signal level, kilometer mark, cell, carrier frequency, time slot, etc.

[0104] (4.3) Model training: Determine the monitoring indicators that need to be analyzed (such as level value, bit error rate, etc.), and use statistical models to adjust and optimize the threshold value according to the actual data characteristics and presentation effect based on the extracted data required for equipment aging monitoring, so as to improve the accuracy and generalization ability of the model. Alternatively, AI technology is introduced during model training, and the AI ​​model is trained with the data required for equipment aging monitoring obtained by the above processing. Considering the training efficiency, real labels can be introduced to train the AI ​​model, so that the AI ​​module has the ability to detect whether the equipment is aged based on the input data; after that, the detection result of whether the equipment is aged can be output based on the input data (that is, the data required for equipment aging monitoring) in actual applications.

[0105] 3. Data analysis and results presentation.

[0106] On the basis of the above processing, the statistical values ​​of each data in the measurement report at the time slot level can be calculated, for example, the average value and standard deviation of the level. The scheme of the present invention can be used for long-term uninterrupted monitoring. Therefore, a large number of historical time slot level measurement reports can be collected in the early stage of monitoring, and historical statistical values, for example, the historical level average value and standard deviation can be calculated therefrom. The historical statistical values ​​are used as reference values ​​to determine whether there are large changes in the statistical values ​​of each data in the measurement report at the real-time time slot level. When the set threshold value is exceeded, the time slot exceeding the threshold is subjected to early warning processing. Exemplarily, the threshold value of the average value can be set to 5dB, and the threshold value of the standard deviation can be set to 3dB. Of course, this is only an example and does not constitute a limitation. The specific threshold value can be adjusted by the user according to the actual situation.

[0107] Afterwards, a comparison chart can be generated according to the level coverage distribution of each time slot and the historical average value in the common sample area, and the time slot information with abnormal trends can be visually warned.

[0108] 3. Example description.

[0109] Based on the above solution, a monitoring tool is formed and deployed in the computing device to analyze and process the collected data. Figure 4 The results shown, Figure 4 The example of the level data in the timeslot-level measurement report shows the situation where the timeslot receiving level deviation is large. Figure 5The levels are sorted according to the severity of the level deviation, so that the situations with large level deviation can be viewed more intuitively.

[0110] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above embodiments can be implemented by software, or by means of software plus necessary general hardware platforms. Based on such understanding, the technical solutions of the above embodiments can be embodied in the form of software products, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0111] Embodiment 2

[0112] The present invention also provides a monitoring and judgment system for GSM-R radio frequency equipment aging, which is mainly used to implement the method provided in the above embodiment, such as Figure 6 As shown, the system mainly includes:

[0113] Data collection unit, used to collect the measurement report of GSM-R radio frequency equipment at the time slot level, as well as the kilometer mark and vehicle speed data;

[0114] The data encapsulation and mapping unit is used to calculate the line virtual capsule through the kilometer mark and the vehicle speed data, encapsulate the line, and then map the measurement report of the GSM-R radio frequency device at the time slot level to the encapsulated line;

[0115] The equipment aging monitoring and judgment unit is used to monitor and judge the aging of the GSM-R radio frequency equipment in each capsule in the line according to the changes in the measurement report at the time slot level.

[0116] Technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the system can be divided into different functional modules to complete all or part of the functions described above.

[0117] Embodiment 3

[0118] The present invention also provides a processing device, such as Figure 7 As shown, it mainly includes: one or more processors; a memory for storing one or more programs; wherein, when the one or more programs are executed by the one or more processors, the one or more processors implement the methods provided in the aforementioned embodiments.

[0119] Furthermore, the processing device also includes at least one input device and at least one output device; in the processing device, the processor, memory, input device, and output device are connected via a bus.

[0120] In the embodiment of the present invention, the specific types of the memory, input device and output device are not limited; for example:

[0121] The input device may be a touch screen, an image acquisition device, a physical button or a mouse, etc.;

[0122] The output device may be a display terminal;

[0123] The memory may be a random access memory (RAM) or a non-volatile memory, such as a disk memory.

[0124] Embodiment 4

[0125] The present invention also provides a readable storage medium storing a computer program, which implements the method provided in the above embodiment when the computer program is executed by a processor.

[0126] In the embodiment of the present invention, the readable storage medium is a computer-readable storage medium and can be set in the aforementioned processing device, for example, as a memory in the processing device. In addition, the readable storage medium can also be a U disk, a mobile hard disk, a read-only memory (ROM), a disk or an optical disk, etc., which can store program codes.

[0127] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for monitoring and judging the aging of GSM-R radio frequency equipment, characterized in that: include: Collect the measurement reports of GSM-R radio equipment at the time slot level, as well as the kilometer mark and vehicle speed data; Calculate the virtual capsule of the line through the kilometer mark and vehicle speed data, encapsulate the line, and then map the measurement report of the GSM-R radio frequency device at the time slot level to the encapsulated line; For the GSM-R radio frequency equipment in each capsule in the line, the aging of the GSM-R radio frequency equipment can be monitored and judged according to the changes in the measurement reports at the time slot level.

2. A method for monitoring and judging aging of GSM-R radio frequency equipment according to claim 1, characterized in that: Also includes: The measurement report of the timeslot level of the GSM-R radio frequency equipment is collected through the Abis interface, and the kilometer mark and vehicle speed data are collected through the PRI interface; among them, the designated terminal user is identified as the monitoring object through the PRI interface and the Abis interface.

3. The method for monitoring and judging aging of GSM-R radio frequency equipment according to claim 1, characterized in that: The method also includes preprocessing the collected data, and after the preprocessing is completed, calculating the line virtual capsule through the kilometer mark and the vehicle speed data, encapsulating the line, and then mapping the measurement report of the GSM-R radio frequency device time slot level to the encapsulated line; The preprocessing process includes: Screening the collected data to remove non-compliant or incomplete data; the collected data includes: GSM-R radio frequency equipment time slot level measurement report, kilometer mark and vehicle speed data; According to statistics, a set proportion of data under normal distribution is taken from the screened data; among them, the kilometer mark and vehicle speed data are also supplemented by fitting.

4. A method for monitoring and judging aging of GSM-R radio frequency equipment according to claim 3, characterized in that: After mapping the measurement report of the GSM-R radio equipment timeslot level to the encapsulated line, it also includes: data organization, that is, storing and managing the data in the line capsule according to the set structure and rules, including the following parts: Data classification: the data in the line capsule is classified and stored according to the corresponding equipment type, monitoring index and time; the data in the line capsule is the measurement report of the GSM-R radio frequency equipment time slot level after preprocessing in the line capsule; Data indexing: Create indexes for classified data and establish corresponding index relationships in the database; Data storage: Select the data storage method.

5. A method for monitoring and judging aging of GSM-R radio frequency equipment according to claim 4, characterized in that: After data organization, it also includes: data adaptation, that is, converting the data into the required form after data organization and processing, including the following parts: Data aggregation: Aggregate data according to analysis requirements; Feature extraction: extract the data required for equipment aging monitoring from the data; Model training: Based on the extracted data required for equipment aging monitoring, the threshold value is adjusted and optimized using a statistical model according to the actual data characteristics and presentation effects.

6. A method for monitoring and judging aging of GSM-R radio frequency equipment according to claim 1, characterized in that: The monitoring and judging of the aging of the GSM-R radio frequency equipment according to the change of the measurement report at the time slot level includes: The statistical value of the specified data in the measurement report at the time slot level within the historical period is calculated by the statistical model, which is called the historical statistical value; The statistical value of the specified data in the time slot level measurement report collected in real time is calculated by the statistical model, which is called the real-time statistical value; Compare the difference between the real-time statistical value and the historical statistical value. If the difference exceeds the set threshold, the corresponding GSM-R radio frequency equipment will be warned to realize the monitoring and judgment of the aging of GSM-R radio frequency equipment.

7. A method for monitoring and judging aging of GSM-R radio frequency equipment according to claim 6, characterized in that: The statistical model includes: a mean value statistical model and a standard deviation statistical model; corresponding statistical values ​​are calculated by the two types of statistical models respectively, and different threshold values ​​are set for different types of statistical values; When the difference between the real-time statistical value and the historical statistical value in any category exceeds the corresponding threshold value, an early warning is performed on the corresponding GSM-R radio frequency equipment.

8. A monitoring and judgment system for aging of GSM-R radio frequency equipment, characterized in that: For implementing the method described in any one of claims 1 to 7, the system comprises: Data collection unit, used to collect the measurement report of GSM-R radio equipment at the time slot level, as well as the kilometer mark and vehicle speed data; The data encapsulation and mapping unit is used to calculate the line virtual capsule through the kilometer mark and the vehicle speed data, encapsulate the line, and then map the measurement report of the GSM-R radio frequency device at the time slot level to the encapsulated line; The equipment aging monitoring and judgment unit is used to monitor and judge the aging of the GSM-R radio frequency equipment in each capsule in the line according to the changes in the measurement report at the time slot level.

9. A processing device, characterized in that: include: one or more processors; A memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

10. A readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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