WO2023116246A1

WO2023116246A1 - Intelligent browsing device based on railway signal system monitoring data

Info

Publication number: WO2023116246A1
Application number: PCT/CN2022/130903
Authority: WO
Inventors: 连爱娥; 廖静; 周星宇; 刘晓峰; 胡恩华; 杨向波; 涂鹏飞
Original assignee: 卡斯柯信号有限公司
Priority date: 2021-12-22
Filing date: 2022-11-09
Publication date: 2023-06-29
Also published as: CN114228785B; CN114228785A

Abstract

An intelligent browsing device based on railway signal system monitoring data, comprising: an interface module (300) for issuing an analysis command and displaying a received analysis result; and a data analysis module (101) connected to the interface module (300) and used for obtaining, according to the received analysis command, railway signal system monitoring data to be analyzed, and analyzing the railway signal system monitoring data to obtain an analysis result and feed back the analysis result to the interface module (300). According to the present invention, the railway signal system monitoring data can be automatically analyzed.

Description

An Intelligent Browsing Device Based on Monitoring Data of Railway Signaling System

technical field

The invention relates to the field of railway transportation control, in particular to an intelligent browsing device based on monitoring data of a railway signal system.

Background technique

CSM-KA system (railway signal monitoring system) is to ensure the safety of railway traffic, monitor the status of signal equipment, find hidden dangers of signal equipment, analyze the cause of signal equipment failure, assist in troubleshooting, guide on-site maintenance, and improve the maintenance level and efficiency of the electrical department. important system.

First, it can collect and monitor in real time the status of analog quantities and switching quantities of basic signal equipment such as switch machines, track circuits, signal machines, and external power grids, and give alarms/warnings in time.

Second, it can access analog quantities, switch status and alarm information such as CTC system (centralized dispatching control system), station train control center system, intelligent power panel system, frequency shifting track circuit system and turnout gap monitoring system, and Give an alarm/warning in time.

However, in the current railway signal monitoring system, the analog quantities and turnout curves collected by monitoring are only analyzed with predetermined parameters for the predetermined collection types, and the on-site electricians cannot customize the analysis of the concerned collection types, and there is a lack of automatic analysis. mechanism. Moreover, with the expansion of the railway signal system business, more and more information is collected, which is far beyond the capabilities of the basic analysis system and analysts.

disclosure of invention

The purpose of the present invention is to provide an intelligent browsing device based on the monitoring data of the railway signal system, so as to realize the purpose of automatic analysis of the monitoring data of the railway signal system.

In order to achieve the above object, the present invention is achieved through the following technical solutions:

An intelligent browsing device based on monitoring data of a railway signaling system, comprising: an interface module for issuing analysis commands and displaying received analysis results. A data analysis module, which is connected to the interface module, and is used to obtain the railway signal system monitoring data to be analyzed according to the received analysis command, analyze the railway signal system monitoring data, obtain and report to the interface The module feeds back the analysis results.

The interface module includes: a customization module for customizing analysis tasks and forming the analysis commands; a display module for displaying or querying the analysis results.

The analysis tasks include daily curve analysis tasks and turnout curve analysis tasks.

The daily curve analysis task includes at least one of the following analysis items: analysis items of fluctuation, analysis items of upward trend and analysis items of downward trend.

The turnout curve analysis task includes at least one of the following analysis items: the analysis item of the turning time of the turnout, the analysis item of the power curve exceeding the upper line and the analysis item of the current curve exceeding the lower line.

When the analysis command is the daily curve analysis task, the customization module is specifically configured to form the analysis command by setting analysis items and filtering parameters of the daily curve analysis task. The filter parameters include one or more of the fluctuation range corresponding to the fluctuation analysis item, the increase range corresponding to the upward trend analysis item and the decline range corresponding to the downward trend analysis item kind.

When the analysis command is the turnout curve analysis task, the customization module is specifically configured to form the analysis command by setting the analysis item and its filtering parameters of the turnout curve analysis task; the filtering parameters include the same as The time length deviation corresponding to the analysis item of the turning time of the turnout, the upper limit of the power value corresponding to the analysis item of the power curve exceeding the upper line and the lower limit of the current value corresponding to the analysis item of the current curve exceeding the lower line one or more.

An analysis process is provided in the data analysis module, and the analysis process is used to perform batch parallel loop multi-thread concurrent operations on the received monitoring data of the railway signal system to be analyzed to obtain the analysis results.

The analysis process opens N-1 threads according to the number of CPU cores N provided in the data analysis module, and each of the threads is used to analyze and calculate the railway signal system monitoring data to be analyzed; each of the threads The CPU mask affinity is set to ensure that the CPU performs fixed tasks.

The data analysis module assigns analysis tasks to corresponding threads according to the total number of threads.

The data analysis module is also used to store the analysis results of the same day, the same type, and the same analysis parameters.

The analysis results are stored in Sqlite format.

The analysis results are a summary report of the daily curve analysis results and the turnout curve analysis results.

The content of the summary report includes: equipment information, collection content and specific analysis result description. The analysis result describes the detailed information of the corresponding abnormal turnout curve and the detailed information of the abnormal analog curve.

It also includes: a central server, which is respectively connected to the interface module and the data analysis module; the interface module transmits the analysis command to the data analysis module through the central server, and the data analysis module transmits the analysis command to the data analysis module through the The central server feeds back the analysis result to the interface module.

The data analysis module is set at the corresponding station collection layer.

It also includes: a data service module, which is arranged at the corresponding station collection layer and connected with the data analysis module and the central server respectively. The data service module is used to store the analysis results, the monitoring data of the railway signal system to be analyzed, and is also used to feed back the analysis command received to the data analysis module, and feed back to the central server The analysis results received.

The present invention has at least one of the following advantages:

The intelligent browsing device provided by the present invention needs to perform online batch analysis on the monitoring data of the railway signal system to be analyzed (monitoring and collection of analog quantities, historical data such as turnout curves), and can filter out abnormal data according to specified parameters, and automatically generate Report. The purpose is to improve the intelligence of the centralized signal monitoring system and reduce the workload of analysts. On-site electricians only need to browse and monitor the daily intelligent browsing reports (analysis results), early warnings, alarms and other information to judge the status of on-site equipment. In this way, the automatic analysis of the monitoring data of the railway signaling system is realized.

The interface module provided in the intelligent browsing device provided by the present invention supports customized analysis of the collection types concerned by on-site electricians: the intelligent browsing device can realize analysis items (collection types) with preset parameters (filtering parameters) for analysis. The interface module is a human-computer interaction interface, which supports users to customize specific collected data, and specify customized analysis parameters (filter parameters) according to the actual usage of the equipment.

The data analysis module in the intelligent browsing device provided by the present invention is provided with an analysis process, and the analysis process is used to perform batch parallel loop multi-thread concurrent operations on the received railway signal system monitoring data to be analyzed The analysis results are obtained, so it has good analysis efficiency: the intelligent browsing device can quickly return the analysis process and analysis results after the on-site electrician personnel start the analysis task.

The intelligent browsing device provided by the present invention is simple and easy to use: the intelligent browsing device can automatically summarize and analyze the logs and data generated in the analysis process, and provide easy-to-use retrieval analysis and visualization of analysis results. At the same time, since the analysis result describes the detailed information of the corresponding abnormal turnout curve and the detailed information of the abnormal analog curve, the data analysis module of the intelligent browsing device has an interface for communicating with the corresponding monitoring and acquisition system interface, so as to facilitate analysis Accurate positioning in case of failure.

At the same time, the intelligent browsing device provided by the present invention covers and satisfies the functional requirements of the "2020 Edition Railway Signal Centralized Monitoring System Technical Conditions" according to the analysis parameters such as the manually set fluctuation range, and automatically screens the analog curve segments that meet the conditions.

Brief description of the drawings

Fig. 1 is a structural block diagram of an intelligent browsing device based on railway signal system monitoring data provided by an embodiment of the present invention;

Fig. 2 is a schematic diagram of the process of analyzing the monitoring data of the railway signaling system by an intelligent browsing device based on the monitoring data of the railway signaling system provided by an embodiment of the present invention.

BEST MODE FOR CARRYING OUT THE INVENTION

An intelligent browsing device based on the monitoring data of the railway signal system proposed by the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. The advantages and features of the present invention will become clearer from the following description. It should be noted that the drawings are in a very simplified form and all use imprecise scales, which are only used to facilitate and clearly assist the purpose of illustrating the embodiments of the present invention. In order to make the objects, features and advantages of the present invention more comprehensible, please refer to the accompanying drawings. It should be noted that the structures, proportions, sizes, etc. shown in the drawings attached to this specification are only used to match the content disclosed in the specification, for those who are familiar with this technology to understand and read, and are not used to limit the implementation of the present invention. condition, so it has no technical substantive meaning, and any modification of structure, change of proportional relationship or adjustment of size shall still fall within the scope of the present invention without affecting the effect and purpose of the present invention. within the scope covered by the disclosed technical content.

As shown in FIG. 1 , this embodiment provides an intelligent browsing device based on railway signal system monitoring data, including: an interface module (interface layer) 300 for issuing analysis commands and displaying received analysis results.

Data analysis module (data analysis layer) 101, which is connected with the interface module 300, and is used to obtain the railway signal system monitoring data to be analyzed according to the received analysis command, and analyze the railway signal system monitoring data , to obtain and feed back the analysis result to the interface module 300 .

Please continue to refer to Figure 1, the present embodiment also includes: a central server 200, which is connected to the interface module 300 and the data analysis module 101 respectively; The command is transmitted to the data analysis module 101 , and the data analysis module 101 feeds back the analysis result to the interface module 300 through the central server 200 .

The interface module 300 includes several analysis terminals 301, each of which is used for man-machine interaction, display or retrieval of analysis results, and search for corresponding fault information.

Please continue to refer to FIG. 1 , the data analysis module 101 described in this embodiment is set in the corresponding station collection layer 100 .

Please continue to refer to shown in Fig. 1, present embodiment also comprises: data service module (data service layer) 102, it is arranged on described corresponding station acquisition layer 100, respectively with described data analysis module 101 and described central server 200 connect. The data service module 102 is used to store the analysis results and the monitoring data of the railway signal system to be analyzed (including: historical data such as analog quantities of equipment collected by the monitoring collection system, switch curves, etc.), and is also used to provide The data analysis module 101 feeds back the received analysis command, and feeds back the received analysis result to the central server 200 .

Each of the analysis terminals 301 also includes: a customizing module for customizing analysis tasks (customized analysis and collection items) to form the analysis order; a display module for displaying or querying the analysis results.

In this embodiment, the analysis tasks include daily curve analysis tasks and turnout curve analysis tasks.

As shown in Table 1, the daily curve analysis task includes at least one of the following analysis items: analysis items of fluctuation, analysis items of upward trend and analysis items of downward trend.

The analysis items included in the daily curve analysis function are shown in Table 1. Currently, analysis items such as volatility and trend rise and fall are supported.

Table 1 Daily curve analysis items

As shown in Table 2, the turnout curve analysis task includes at least one of the following analysis items: the analysis item of the turning time of the turnout, the analysis item of the power curve exceeding the upper line and the analysis item of the current curve exceeding the lower line.

Table 2 Turnout curve analysis items

When the analysis command is the turnout curve analysis task, the customization module is specifically configured to form the analysis command by setting analysis items and filtering parameters of the turnout curve analysis task.

The filtering parameters include the time length deviation corresponding to the analysis item of the turning time of the turnout, the upper limit of the power value corresponding to the analysis item of the power curve exceeding the upper line and the analysis item corresponding to the current curve exceeding the lower line One or more of the lower limits of the current value.

On-site electrical personnel specify the collected data and analysis parameters (filtering parameters) for analysis at the station or terminal display layer (analysis terminal 301) of the centralized signal monitoring system.

That is, for the daily curve analysis, the content of the collection items (analysis items) of the daily curve analysis supports customization, customizing commonly used collection items that need to be analyzed, and supports single-channel analysis and batch analysis of multiple devices. Support analysis parameter setting, including fluctuation range and trend range; daily curve analysis supports the function of filtering sunroof repair time, after filtering the sunroof repair, the analog information of maintenance equipment during the sunroof repair period will not be analyzed.

For turnout curve analysis, turnout curve analysis supports selection of equipment to be analyzed according to the type of switch machine, and supports single equipment analysis and multiple equipment batch analysis. Support analysis parameter setting, including duration parameter, power upper limit and current lower limit. The turnout analysis supports the function of filtering the repair time of the skylight. After the repair of the skylight is filtered, the action curve of the turnout equipment during the repair period of the skylight will not be analyzed.

After the setting is completed, the electrician will issue a customized analysis task (analysis command), and the intelligent browsing device will issue it in a OneByOne manner (one by one), and the visual terminal interface (analysis terminal 301) will receive a type of analysis result before Issue the next analysis command, and display the percentage of the analysis progress and the signal device currently being analyzed in real time. The signal equipment here is mainly switch machines, track circuits, signal machines and external power grids.

As shown in Figure 2, an analysis process is provided in the data analysis module 101, and the analysis process is used to perform batch parallel loop multi-thread concurrent operations on the received railway signal system monitoring data to be analyzed to obtain the described Analyze the results.

That is to say, the data analysis module 101 adopts a nearby analysis method, designs and deploys a data analysis process at the station collection layer of the centralized signal monitoring system, and performs specific analysis and analysis tasks. After the analysis process queries the historical data to be analyzed from the collection storage layer, it starts batch-based parallel loop multi-threaded concurrent operations, and uses multi-threaded concurrent execution to ensure the analysis efficiency of the daily curve. According to the scale of 1000 channels, it is guaranteed that all analyzes do not exceed 10 minute.

The analysis process opens N-1 threads according to the number N of CPU cores provided in the data analysis module 101, and each thread is used to analyze and calculate the railway signal system monitoring data to be analyzed; each of the The thread sets the CPU shield affinity to ensure that the CPU executes a fixed task; the use of multiple threads can fully improve the CPU utilization rate and improve the calculation efficiency.

The data analysis module 101 assigns analysis tasks to corresponding threads according to the total number of threads.

The data analysis module 101 is also used to store the analysis results of the same day, the same type, and the same analysis parameters, so that the results can be returned directly when the same analysis is triggered later without re-analysis. The analysis process returns the analysis process and results to the interface display layer (interface module) in time. The interface display layer displays the analysis results in a timely manner in the form of visual charts. And provide abnormal data detailed information to view the jump function.

As shown in Table 3, a table is created every month, and the analysis results are stored in Sqlite format.

Table 3 is the analysis result

Optionally, the analysis result is an intelligent browsing report, including: a summary report of daily curve analysis results and turnout curve analysis results.

The intelligent browsing report has the following functions: it supports query and generation by time period, and analysts can specify a certain day or a certain period of time. If there are multiple analyzes on a certain day, the report content is the sum of multiple analyzes.

The content of the report includes device information, collection content, and specific analysis result description.

Analysts can confirm abnormal problem results in the report. Analysts can quickly jump to abnormal analog curves or turnout curves through the report content, and abnormal data segments will be marked prominently.

Support jumping from the analysis result list to view the detailed information of abnormal turnout curves. The content of the summary report includes: equipment information, collection content and specific analysis result description. The analysis result describes the detailed information of the corresponding abnormal turnout curve and the detailed information of the abnormal analog quantity curve.

This embodiment has been applied to the railway signal centralized monitoring system of Jinan Bureau and Guangzhou Bureau. The intelligent browsing device conducts online batch analysis on historical data such as analog quantities and turnout curves collected by monitoring according to specified parameters, and automatically generates reports. On-site electrical personnel only need to browse and monitor the daily intelligent browsing reports, early warnings, alarms and other information to judge the status of on-site equipment, which greatly improves the intelligence of the centralized signal monitoring system and reduces the workload of analysts.

This embodiment has the following advantages: standardization: the device satisfies the functional requirements of the "2020 Edition Technical Conditions for Centralized Railway Signal Monitoring System" according to the analysis parameters such as the manually set fluctuation range, and automatically screens the analog curve segments that meet the conditions.

Compatibility, scalability, flexibility, and stability: Since it does not depend on the actual equipment on site, there is no need to consider the compatibility of the equipment. At the same time, the device is flexible. The visual display and data analysis layer of the device can be deployed separately. The data analysis process only needs to be deployed at the station collection layer. The visualization terminal equipment only needs to pass through the central server to realize the analysis process and view the analysis results. .

Saving of cost and human resources: The device adopts batch parallel loop multi-thread concurrent analysis, which greatly improves the intelligence of the centralized signal monitoring system and reduces the workload of analysts. On-site electricians only need to browse and monitor the daily data Intelligently browse reports, early warnings, alarms and other information to judge the status of on-site equipment.

The application and maintenance are simple and convenient, and the user experience is good: the device provides analysis reports in the form of a man-machine interface, which is easy and convenient for users to use.

It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is a relationship between these entities or operations. There is no such actual relationship or order between them. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

It should be noted that the devices and methods disclosed in the embodiments herein may also be implemented in other ways. The device embodiments described above are only illustrative, for example, the flowcharts and block diagrams in the accompanying drawings show the architecture, functions and operations of possible implementations of devices, methods and computer program products according to multiple embodiments herein . In this regard, each block in a flowchart or block diagram may represent a module, a program segment, or a portion of code that includes one or more programmable components for implementing specified logical functions. Executable instructions, the module, program segment or part of the code contains one or more executable instructions for realizing the specified logic function. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It is also to be noted that each block in the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented in special purpose hardware-based systems that perform the specified functions or actions. implemented, or may be implemented by a combination of special purpose hardware and computer instructions.

In addition, the functional modules in the various embodiments herein can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

Although the content of the present invention has been described in detail through the above preferred embodiments, it should be understood that the above description should not be considered as limiting the present invention. Various modifications and alterations to the present invention will become apparent to those skilled in the art upon reading the above disclosure. Therefore, the protection scope of the present invention should be defined by the appended claims.

Claims

An intelligent browsing device based on railway signal system monitoring data, characterized in that it includes:

An interface module for issuing analysis commands and displaying received analysis results;

A data analysis module, which is connected to the interface module, and is used to obtain the railway signal system monitoring data to be analyzed according to the received analysis command, analyze the railway signal system monitoring data, obtain and report to the interface The module feeds back the analysis results.
The intelligent browsing device based on railway signal system monitoring data as claimed in claim 1, wherein said interface module comprises:

A customization module, configured to customize an analysis task and form the analysis command;

A display module is used for displaying or querying the analysis results.
The intelligent browsing device based on railway signal system monitoring data according to claim 2, wherein said analysis tasks include daily curve analysis tasks and turnout curve analysis tasks.
The intelligent browsing device based on railway signal system monitoring data as claimed in claim 3, wherein said daily curve analysis task includes at least one of the following analysis items:

Analysis items for volatility, analysis items for upward trend and analysis items for downward trend.
The intelligent browsing device based on railway signal system monitoring data according to claim 3, wherein said turnout curve analysis task includes at least one of the following analysis items:

The analysis items of the turning time of the turnout, the analysis items of the power curve exceeding the upper line and the analysis items of the current curve exceeding the lower line.
The intelligent browsing device based on railway signal system monitoring data according to claim 4, wherein when the analysis command is the daily curve analysis task, the customization module is specifically used to analyze the daily curve by setting the analysis items of tasks and their filtering parameters to form said analysis commands;

The filter parameters include one or more of the fluctuation range corresponding to the fluctuation analysis item, the increase range corresponding to the upward trend analysis item and the decline range corresponding to the downward trend analysis item kind.
The intelligent browsing device based on railway signal system monitoring data as claimed in claim 5, characterized in that,

When the analysis command is the turnout curve analysis task, the customization module is specifically configured to form the analysis command by setting the analysis items and filtering parameters of the turnout curve analysis task;

The filtering parameters include the time length deviation corresponding to the analysis item of the turning time of the turnout, the upper limit of the power value corresponding to the analysis item of the power curve exceeding the upper line and the analysis item corresponding to the current curve exceeding the lower line One or more of the lower limits of the current value.
The intelligent browsing device based on railway signal system monitoring data according to claim 1, wherein an analysis process is provided in the data analysis module, and the analysis process is used to analyze the received railway signal to be analyzed The system monitoring data is processed in batches, parallel loops, and multi-threaded concurrent operations to obtain the analysis results.
The intelligent browsing device based on railway signal system monitoring data as claimed in claim 8, wherein said analysis process opens N-1 threads according to the number N of CPU cores provided in said data analysis module, and each Said thread is used to analyze and calculate said railway signaling system monitoring data to be analyzed;

Each of the threads sets the CPU mask affinity to ensure that the CPU performs a fixed task.
The intelligent browsing device based on railway signal system monitoring data according to claim 9, wherein said data analysis module assigns analysis tasks to corresponding said threads according to the total number of said threads.
The intelligent browsing device based on railway signal system monitoring data according to claim 10, wherein said data analysis module is also used to store analysis results of the same day, same type, and same analysis parameters.
The intelligent browsing device based on railway signal system monitoring data according to claim 11, wherein the analysis results are stored in Sqlite format.
The intelligent browsing device based on railway signaling system monitoring data according to claim 12, wherein the analysis result is a summary report of daily curve analysis results and turnout curve analysis results.
The intelligent browsing device based on railway signaling system monitoring data according to claim 13, wherein the content of the summary report includes: equipment information, collection content and specific analysis result description;

The analysis result describes the detailed information of the corresponding abnormal turnout curve and the detailed information of the abnormal analog quantity curve.
The intelligent browsing device based on railway signal system monitoring data according to any one of claims 1 to 14, further comprising: a central server connected to the interface module and the data analysis module respectively; The interface module transmits the analysis command to the data analysis module through the central server, and the data analysis module feeds back the analysis result to the interface module through the central server.
The intelligent browsing device based on railway signal system monitoring data according to claim 15, wherein said data analysis module is arranged at a corresponding station collection layer.
The intelligent browsing device based on railway signal system monitoring data as claimed in claim 16, further comprising: a data service module, which is arranged on the corresponding station collection layer and communicates with the data analysis module and the Central server connection;

The data service module is used to store the analysis results, the monitoring data of the railway signal system to be analyzed, and is also used to feed back the analysis command received to the data analysis module, and feed back to the central server The analysis results received.