Subway train-ground communication detection method

Abstract

The invention discloses a subway train-ground communication detection method, which is used for monitoring at least one subway network element device connected with the subway train-ground communication detection method in real time, and comprises a network management server and a client, and the at least one subway network element device is connected with the network management server through a central switch. And the network management server is used for monitoring and acquiring parameter information of the at least one subway network element device and analyzing and processing the acquired parameter information. The target detection task can be determined from the at least one detection task, and the at least one detection message is sent to the target service system according to the storage path of the at least one detection message of the target service system corresponding to the target detection task in the task information of the target detection task. And the target service system carries out system communication detection according to the at least one detection message.

Description

Technical Field

[0001] The present invention relates to the technical field of detection methods, and in particular to a subway vehicle-to-ground communication detection method. Background Art

[0002] There is no simple, online, and continuous detection method for the quality of existing subway vehicle-ground communication (referred to as vehicle-ground communication). It must be measured by the actual passage of subway vehicles. There are many inconvenient factors in practical applications, and the quality problems of subway vehicle-ground communication cannot be discovered in time. In the existing subway vehicle-ground communication system, there is no monitoring of on-site communication quality. It is only discovered when there is a problem with the subway vehicle-ground communication, that is, when the subway vehicle-ground communication cannot communicate normally at all, the vehicle cannot stop accurately, and the departure indicator is not lit, which has a bad impact on the quality of subway operation. Summary of the invention

[0003] The object of the present invention is to provide a subway vehicle-ground communication detection method to solve the problems raised in the above background technology.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a subway vehicle-ground communication detection method, which is used to monitor at least one subway network element device connected thereto in real time, comprising a network management server and a client, wherein the at least one subway network element device is connected to the network management server through a central switch, and the network management server is used to monitor and obtain parameter information of the at least one subway network element device and analyze and process the obtained parameter information, and send the analyzed and processed parameter information to the client connected to the network management server;

[0005] receiving a control instruction from the client to control the at least one subway network element device;

[0006] The network management server comprises a data acquisition module, a data preprocessing module, a feature extraction module, a model building module and a detection and analysis module.

[0007] Preferably, the data acquisition module acquires relevant data packets and communication information by monitoring the communication network in the subway system;

[0008] The data preprocessing module is used to clean, denoise and format the collected data for subsequent analysis;

[0009] The feature extraction module is used to extract representative features from the preprocessed data;

[0010] The model building module uses machine learning or deep learning algorithms to build a classification model based on known normal communication patterns and abnormal communication patterns;

[0011] The detection and analysis module inputs the communication data collected in real time into the trained model, classifies and judges each data packet to determine whether it is an abnormal communication behavior.

[0012] Preferably, the detection method further comprises determining a target detection task from at least one detection task, wherein the at least one detection task is respectively used to detect a communication status of a corresponding business system;

[0013] Acquire task information of the target detection task, wherein the task information includes a storage path of at least one detection message of a target business system corresponding to the target detection task;

[0014] Sending the at least one detection message to the target service system according to the storage path of the at least one detection message, so that the target service system performs system communication detection according to the at least one detection message;

[0015] Receive response information returned by the target business system after performing system communication detection, and analyze the response information to determine the communication status of the target business system.

[0016] Preferably, determining the target detection task from at least one detection task includes:

[0017] When the current time reaches a preset task period of any one of the at least one detection task, the detection task corresponding to the preset task period is determined to be a target detection task.

[0018] Preferably, the detection method further includes specifying a connection method with the target business system;

[0019] The sending the at least one detection message to the target service system according to the storage path of the at least one detection message includes:

[0020] The at least one detection message is sent to the target service system according to the storage path of the at least one detection message through the designated connection mode with the target service system.

[0021] Preferably, the step of the client monitoring the at least one subway network element device according to the acquired parameter information and the analyzed and processed parameter information further includes:

[0022] The network management server compares the control parameters in the parameter information of any subway network element device with a corresponding reserved control parameter. When the control parameters of the subway network element device do not match the reserved control parameters, the reserved control parameters of the subway network element device are sent to the subway network element device.

[0023] Preferably, the data preprocessing module comprises the following steps:

[0024] Data cleaning: processing errors, missing values ​​or outliers in the data to ensure the quality and accuracy of the data;

[0025] Data denoising: removing noise or irrelevant information from data to improve data quality and usability;

[0026] Data formatting: Converting data into a format suitable for subsequent analysis, such as statistics, machine learning, or other analytical tasks.

[0027] Preferably, the detection method further comprises:

[0028] Alarm and protection: When abnormal communication behavior is detected, the alarm mechanism is triggered, and relevant personnel are notified in time to handle it and take corresponding safety protection measures.

[0029] Preferably, the at least one detection message includes at least one detection message for the internal communication status of the target business system and / or at least one detection message for the communication status between the target business system and at least one dependent business system thereof;

[0030] The communication status of the target business system includes an internal communication status of the target business system and / or a communication status between the target business system and at least one of its dependent business systems.

[0031] The invention provides a method for detecting subway vehicle-to-ground communication, which has the following beneficial effects:

[0032] The present invention can determine the target detection task from at least one detection task, and send the at least one detection message to the target business system according to the storage path of at least one detection message of the target business system corresponding to the target detection task in the task information of the target detection task, so that the target business system performs system communication detection according to the at least one detection message, receives the response information returned by the target business system after the system communication detection, and analyzes the response information to determine the communication status of the target business system. Compared with the prior art in which each business system performs communication detection by itself, the present invention can shield the detection differences of different business systems, thereby realizing unified communication detection of multiple business systems, which is conducive to improving the intelligence and convenience of system communication detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a flowchart of the subway vehicle-to-ground communication detection method of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 scope of protection of the present invention.

[0035] See also Figure 1 The present invention provides a technical solution for a subway vehicle-ground communication detection method: a subway vehicle-ground communication detection method, which is used to monitor at least one subway network element device connected thereto in real time, and includes a network management server and a client, wherein at least one subway network element device is connected to the network management server through a central switch, and the network management server is used to monitor and obtain parameter information of at least one subway network element device and analyze and process the obtained parameter information, and send the analyzed and processed parameter information to the client connected to the network management server;

[0036] Receive control instructions from a client to control at least one subway network element device;

[0037] The network management server includes a data acquisition module, a data preprocessing module, a feature extraction module, a model building module and a detection and analysis module.

[0038] As a preferred solution, further, the data acquisition module acquires relevant data packets and communication information by monitoring the communication network in the subway system;

[0039] The data preprocessing module cleans, removes noise and formats the collected data for subsequent analysis;

[0040] The feature extraction module is used to extract representative features from the preprocessed data;

[0041] The model building module uses machine learning or deep learning algorithms to build a classification model based on known normal communication patterns and abnormal communication patterns;

[0042] The detection and analysis module inputs the real-time collected communication data into the trained model, classifies and judges each data packet to determine whether it is abnormal communication behavior.

[0043] As a preferred solution, further, the detection method also includes determining a target detection task from at least one detection task, and at least one detection task is used to detect the communication status of the corresponding business system;

[0044] Acquire task information of the target detection task, where the task information includes a storage path of at least one detection message of a target business system corresponding to the target detection task;

[0045] Sending at least one detection message to a target service system according to a storage path of at least one detection message, so that the target service system performs system communication detection according to the at least one detection message;

[0046] Receive response information returned by the target business system for system communication detection, and analyze the response information to determine the communication status of the target business system.

[0047] At least one detection task is used to detect the communication status of the corresponding business system. The system communication detection device can receive at least one detection task input by the user and combine at least one detection task into a task queue. When the user inputs a new detection task, the detection task can be added to the task queue. After the system communication detection device determines the target detection task from the task queue, it can execute the target detection task.

[0048] As a preferred solution, further, determining the target detection task from at least one detection task includes:

[0049] When the current time reaches a preset task period of any one of the at least one detection task, the detection task corresponding to the preset task period is determined to be the target detection task.

[0050] The detection task can carry a preset task time. When the current time reaches the preset task time of any one of the at least one detection task, the system communication detection device determines that the detection task corresponding to the preset task time is a target detection task. For example, if the preset task time of the first detection task in at least one detection task is 3:00pm, then when the current time reaches 3:00pm, the system communication detection device can determine the first detection task as a target detection task.

[0051] The detection task may also carry a preset task cycle. When the current time reaches the preset task cycle of any one of the at least one detection task, the system communication detection device determines the detection task corresponding to the preset task cycle as the target detection task. For example, if the preset task cycle of the second detection task in the at least one detection task is 10 minutes, the system communication detection device determines the second detection task as the target detection task every 10 minutes.

[0052] As a preferred solution, further, the detection method also includes a specified connection method with the target business system;

[0053] Sending at least one detection message to the target service system according to the storage path of at least one detection message includes:

[0054] At least one detection message is sent to the target service system through a designated connection mode with the target service system and according to a storage path of the at least one detection message.

[0055] The target detection task is used to detect the communication status of the target business system. The system communication detection device can obtain the task information of the target detection task, and the task information may include the storage path of at least one detection message for the target business system. The task information may also include the system identifier of the target business system, the preset task time or preset task cycle of the target detection task, etc.

[0056] As a preferred solution, further, the step of the client monitoring at least one subway network element device according to the acquired parameter information and the analyzed and processed parameter information also includes:

[0057] The network management server compares the control parameters in the parameter information of any subway network element device with a corresponding reserved control parameter. When the control parameters of the subway network element device do not match the reserved control parameters, the reserved control parameters of the subway network element device are sent to the subway network element device.

[0058] As a preferred solution, further, the data preprocessing module includes the following steps:

[0059] Data cleaning: processing errors, missing values ​​or outliers in the data to ensure the quality and accuracy of the data;

[0060] Data denoising: removing noise or irrelevant information from data to improve data quality and usability;

[0061] Data formatting: Converting data into a format suitable for subsequent analysis, such as statistics, machine learning, or other analytical tasks.

[0062] Extract representative features from the preprocessed data, such as packet size, frequency, latency, etc. Then, use machine learning or deep learning algorithms to build a classification model based on known normal and abnormal communication patterns. Use labeled data sets to train the established model so that it can accurately identify normal and abnormal communication behaviors.

[0063] The task information may also include a task identifier of the target detection task, and the task identifier includes a preset field represented by binary code. If the preset field is 0, it means that after the system communication detection device sends the at least one detection message to the target business system, it needs to wait for the target business system to return a response message before calling the next detection task; if the preset field is 1, it means that after the system communication detection device sends the at least one detection message to the target business system, it can directly call the next detection task;

[0064] When the target business system notifies the system communication detection device that it can query the response information of the target business system, the system communication detection device calls the associated query task of the target detection task to receive the response information returned by the target business system for system communication detection, and analyzes the response information to determine the communication status of the target business system. If the preset field is 0, when the system communication detection device waits for the response information for more than the preset over-value threshold, the system communication detection device may stop waiting and start calling the next detection task.

[0065] In actual applications, the real-time collected communication data is input into the trained model to classify and judge each data packet to determine whether it is an abnormal communication behavior. When abnormal communication behavior is detected, the alarm mechanism is triggered to promptly notify relevant personnel to handle it and take corresponding safety protection measures. This method can effectively improve the safety and reliability of subway communications.

[0066] By training the model to learn the characteristics and patterns of new security issues, unsupervised learning methods such as clustering and outlier detection can be used to identify unknown attack behaviors.

[0067] Behavioral analysis monitors and analyzes the behavior patterns of systems or users to identify abnormal behaviors that are significantly different from normal behaviors. This requires the establishment of a suitable baseline behavior model and the use of machine learning or rule engines for behavioral analysis and detection. This method does not rely on existing attack samples, but detects potential security issues by monitoring abnormal behaviors in systems or networks.

[0068] As a preferred solution, further, the detection method also includes:

[0069] Alarm and protection: When abnormal communication behavior is detected, the alarm mechanism is triggered, and relevant personnel are notified in time to handle it and take corresponding safety protection measures.

[0070] As a preferred solution, further, the at least one detection message includes at least one detection message for the internal communication status of the target business system and / or at least one detection message for the communication status between the target business system and at least one dependent business system thereof;

[0071] The communication status of the target business system includes an internal communication status of the target business system and / or a communication status between the target business system and at least one of its dependent business systems.

[0072] The target business system may have at least one dependent business system, and the at least one detection message for the internal communication status of the target business system is used to detect the internal communication status of the target business system, and the at least one detection message for the communication status between the target business system and at least one of its dependent business systems is used to detect the communication status between the target business system and at least one of its dependent business systems. Among them, there is a dependency relationship between the target business system and at least one dependent business system, and the realization of at least one function in the target business system needs to rely on the operating results of at least one business function link in at least one dependent business system; the target business system may also be a dependent business system of other business systems.

[0073] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0074] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for detecting subway vehicle-ground communication, characterized in that: Used to perform real-time monitoring of at least one subway network element device connected thereto, comprising a network management server and a client, wherein the at least one subway network element device is connected to the network management server via a central switch, and the network management server is used to monitor and obtain parameter information of the at least one subway network element device and analyze and process the obtained parameter information, and send the analyzed and processed parameter information to the client connected to the network management server; receiving a control instruction from the client to control the at least one subway network element device; The network management server comprises a data acquisition module, a data preprocessing module, a feature extraction module, a model building module and a detection and analysis module.

2. A subway vehicle-to-ground communication detection method according to claim 1, characterized in that: The data acquisition module acquires relevant data packets and communication information by monitoring the communication network in the subway system; The data preprocessing module is used to clean, denoise and format the collected data for subsequent analysis; The feature extraction module is used to extract representative features from the preprocessed data; The model building module uses machine learning or deep learning algorithms to build a classification model based on known normal communication patterns and abnormal communication patterns; The detection and analysis module inputs the communication data collected in real time into the trained model, classifies and judges each data packet to determine whether it is an abnormal communication behavior.

3. A subway vehicle-to-ground communication detection method according to claim 1, characterized in that: The detection method further includes determining a target detection task from at least one detection task, wherein the at least one detection task is respectively used to detect a communication state of a corresponding business system; Acquire task information of the target detection task, wherein the task information includes a storage path of at least one detection message of a target business system corresponding to the target detection task; Sending the at least one detection message to the target service system according to the storage path of the at least one detection message, so that the target service system performs system communication detection according to the at least one detection message; Receive response information returned by the target business system after performing system communication detection, and analyze the response information to determine the communication status of the target business system.

4. A subway vehicle-to-ground communication detection method according to claim 3, characterized in that: Determining the target detection task from at least one detection task includes: When the current time reaches a preset task period of any one of the at least one detection task, the detection task corresponding to the preset task period is determined to be a target detection task.

5. A subway vehicle-ground communication detection method according to claim 3, characterized in that: The detection method further includes specifying a connection method with the target business system; The sending the at least one detection message to the target service system according to the storage path of the at least one detection message includes: The at least one detection message is sent to the target service system according to the storage path of the at least one detection message through the designated connection mode with the target service system.

6. A subway vehicle-to-ground communication detection method according to claim 1, characterized in that: The step of the client monitoring the at least one subway network element device according to the acquired parameter information and the analyzed and processed parameter information further includes: The network management server compares the control parameters in the parameter information of any subway network element device with a corresponding reserved control parameter. When the control parameters of the subway network element device do not match the reserved control parameters, the reserved control parameters of the subway network element device are sent to the subway network element device.

7. A subway vehicle-to-ground communication detection method according to claim 1, characterized in that: The data preprocessing module comprises the following steps: Data cleaning: processing errors, missing values ​​or outliers in the data to ensure the quality and accuracy of the data; Data denoising: removing noise or irrelevant information from data to improve data quality and usability; Data formatting: Converting data into a format suitable for subsequent analysis, such as statistics, machine learning, or other analytical tasks.

8. A subway vehicle-to-ground communication detection method according to claim 1, characterized in that: The detection method further comprises: Alarm and protection: When abnormal communication behavior is detected, the alarm mechanism is triggered, and relevant personnel are notified in time to handle it and take corresponding safety protection measures.

9. A subway vehicle-ground communication detection method according to claim 3, characterized in that: The at least one detection message includes at least one detection message for the internal communication status of the target business system and / or at least one detection message for the communication status between the target business system and at least one dependent business system thereof; The communication status of the target business system includes an internal communication status of the target business system and / or a communication status between the target business system and at least one of its dependent business systems.

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