CN110109968B - Signal system time sequence consistency analysis method based on network data capture - Google Patents
Signal system time sequence consistency analysis method based on network data capture Download PDFInfo
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Abstract
The invention relates to a signal system time sequence consistency analysis method based on network data capture, which specifically comprises the following steps: (1) establishing a data identification set according to the interface data specification requirement; (2) formulating a signal system time sequence consistency analysis rule; (3) establishing a data analysis and signal system time sequence consistency analysis knowledge base; (4) detecting and judging the data abnormity between systems; (5) and analyzing the timing sequence of the data captured by the network and detecting the correctness of the timing sequence of the signal system. Compared with the prior art, the method has the advantages of accurately positioning the display abnormity and the time sequence error of the data between the systems to the system and the like.
Description
Technical Field
The invention relates to a rail transit signal system, in particular to a signal system time sequence consistency analysis method based on network data capture.
Background
Data capture and timing consistency analysis are an interface data analysis utility of a signal centralized monitoring system. The effectiveness, normalization and accuracy of data between the signal centralized monitoring system and other systems, including extracting abnormal data, positioning abnormal data sources, analyzing data time sequence, normalizing data maintenance of the signal centralized monitoring system and the like, all depend on data capture, abnormal data judgment and data time sequence analysis methods.
In a traditional signal centralized monitoring system, mass data can only be captured through a packet capturing tool, abnormal data is artificially extracted from the mass data, and the system is analyzed to display the reason of the abnormality. On one hand, the data captured by the packet capturing tool cannot filter the specific numerical value of the specific byte position, so that the captured data volume is extremely large, and the maintenance efficiency and the processing time of data analysis personnel are seriously influenced. On the other hand, each time of processing the abnormal data packet, the data analyst analyzes the abnormal data packet according to the protocol specification, and a standard knowledge base is not formed, so that a large amount of repeated work is caused, and if the abnormal data packet has time sequence relevance, the data analysis is a huge engineering quantity, and a data analyst with insufficient experience can not successfully complete the task.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a signal system time sequence consistency analysis method based on network data capture.
The purpose of the invention can be realized by the following technical scheme:
a signal system time sequence consistency analysis method based on network data capture is characterized by comprising the following steps:
(1) establishing a data identification set according to the interface data specification requirement;
(2) formulating a signal system time sequence consistency analysis rule;
(3) establishing a data analysis and signal system time sequence consistency analysis knowledge base;
(4) detecting and judging the data abnormity between systems;
(5) and analyzing the timing sequence of the data captured by the network and detecting the correctness of the timing sequence of the signal system.
Preferably, the establishing of the data identifier set specifically includes: analyzing the characteristics of service transmission data among systems, defining unique identification for each type of service data, and establishing a complete data identification set.
Preferably, the formulating a signal system timing consistency analysis rule specifically comprises:
and according to the service demand information among the systems, combining two attribute categories and four display modes of the data, and formulating a corresponding system time sequence rule for each category of data.
Preferably, the two attribute categories of data include "time-stamped data" and "non-time-stamped data".
Preferably, the four display modes of the data comprise real-time display, historical playback, interface query and logic association display.
Preferably, the establishing of the data analysis and signal system time sequence consistency analysis knowledge base specifically comprises:
and collecting business meanings represented by various data, and constructing a knowledge base for analyzing the time sequence consistency of the signal system based on a time sequence consistency analysis rule, so as to comprehensively and deeply describe the relation between the working state of the system and the data transmission time sequence.
Preferably, the inter-system data anomaly detection and judgment specifically includes:
and establishing a standard data storage buffer pool, combining data protocol standards, realizing data structure analysis, and quickly judging the correctness of captured data.
Preferably, the analyzing the network capture data time sequence, and the detecting the correctness of the signal system time sequence specifically comprises:
by time sequence analysis of network captured data, and comparison of the results of signal system time sequence consistency analysis rules, data analysis and signal system time sequence consistency analysis knowledge base analysis, the problem of system time sequence consistency can be quickly confirmed.
Compared with the prior art, the method can deeply analyze the real-time property, the stability and the accuracy of the data transmission among the system modules through data capture and signal system time sequence consistency analysis, can accurately position the display abnormity and the time sequence error of the data among the systems to the system, quickly judge whether the data transmitted among the systems accords with the protocol specification of the system, and position the time sequence problem of the signal system from the data transmission source. The method provides accurate specifications for data display of a signal centralized monitoring system, is favorable for improving the data maintenance management level, lightens the working intensity of data maintenance personnel, and compresses data exception handling delay.
Drawings
FIG. 1 is a schematic diagram of the timing construction of network data capture;
FIG. 2 is a schematic diagram of a knowledge base for constructing a business data and signal system timing analysis method;
fig. 3 is a system configuration diagram of the method for analyzing timing consistency of a signal system based on network data capture according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, shall fall within the scope of protection of the present invention.
The invention relates to a signal system time sequence consistency analysis method based on network data capture, which comprises the following steps:
(1) establishing a data special identification set according to the interface data specification requirement: researching the characteristics of service transmission data among systems, defining a unique identifier for each type of service data, and establishing a complete data identifier set;
(2) formulating a signal system time sequence consistency analysis rule: as shown in fig. 1, according to the service requirements between systems, two common attribute categories and four display modes of data are combined, and a corresponding system time sequence rule is formulated for each category of data;
(3) establishing a data analysis and signal system time sequence consistency analysis knowledge base: as shown in fig. 2, the business meanings represented by various data are collected, and a knowledge base for analyzing the time sequence consistency of the signal system is researched based on a time sequence consistency analysis rule, so that the relation between the working state of the system and the data transmission time sequence can be comprehensively and deeply described for reference of data processing and maintenance management of the signal system;
(4) inter-system data anomaly detection and judgment: establishing a standard data storage buffer pool, combining data protocol standards, realizing data structure analysis, and quickly judging the correctness of captured data;
(5) analyzing the timing sequence of network capture data, and detecting the correctness of the timing sequence of a signal system: and (3) comparing the rules (2) and (3) with the analysis result of the knowledge base by time sequence analysis of the network captured data, so that the problem of system time sequence consistency can be quickly confirmed.
The two attribute categories of the data comprise time-marked data and non-time-marked data. The data display method comprises four display modes of real-time display, historical playback, interface query and logic association display.
The structure of the system is shown in figure 3.
Detailed description of the invention
1. Establishing a data special identification set according to the interface data specification requirement
By investigating the characteristics of the data transmitted by the intersystem traffic, according to the presence of fixed codes at specific positions in the data frame
And the bit value defines a unique identifier for each data, and the characteristic of the data packet can be uniquely identified by using the identifier as a condition for filtering specific data after data capture.
Based on the data protocol standard, data feature extraction is carried out on each kind of data, and uniform data special characteristics are established
The identification sets can be mapped to each data one by one, and a correct method is provided for capturing the specified data.
2. Formulating analysis rules of signal system time sequence consistency
According to the service requirements between systems, two attribute categories and four display modes of data are combined, and a corresponding time sequence consistency rule is formulated for each category of data, as follows
(1) Time-stamped data: the requirement on the system time sequence is low, and the data can be guaranteed to be processed in time.
(2) Non-timestamped data that needs to be displayed in real time: the requirement on the consistency of the system time sequence is high, and the data can be in 1s
The processing is completed internally, and the sequence is correct, so that the system can correctly display the equipment state;
(3) non-timestamped data requiring historical playback: the requirement on the consistency of the system time sequence is high, and the data can be 1 s The processing is completed internally, and the playback authenticity can be ensured only if the sequence is correct;
(4) non-timescale data requiring interface queries: the requirement on the consistency of the system time sequence is high, the data can be processed within 5 seconds, and the query correctness can be ensured only if the sequence is correct;
(5) non-timestamped data that requires logical association: the requirement on the consistency of the system time sequence is high, the data needs to be processed within the specified time according to the service, and the correctness of the logical association relation can be ensured only if the sequence is correct;
3. establishing a knowledge base for data analysis and signal system time sequence consistency analysis
The system time sequence consistency analysis needs to be established on a relatively mature data service model, a system time sequence analysis method and service interaction requirements among systems, and the knowledge base can more comprehensively describe the data processing requirement specification of a signal system, the consistent boundary of the system time sequence and the judgment basis of the normal working state of the system. As in fig. 1, the following key information can be described mainly by the knowledge base:
(1) establishing a data service model, and recording the meaning and the processing mode of the data service;
(2) recording a system time sequence analysis method;
(3) acquiring service interaction requirements among systems;
4. inter-system data anomaly detection and judgment
The data buffer pool carries out information unified management on a certain specific captured data according to a time sequence, a corresponding data model is searched in a knowledge base, the system compares the captured data in sequence through a polling mechanism, and if matched abnormal data occurs, the abnormal data can be rapidly judged to exist.
5. Analyzing the timing sequence of the network captured data, and detecting the correctness of the timing sequence of the signal system
According to the network data capturing sequence and time, a network transmission data sequence diagram is established, a corresponding service model for capturing data is quickly found through a data knowledge base, and the correctness of the signal system time sequence processing can be quickly detected by combining the rule of the time sequence processing of the data in the system and the actual display result of the system time sequence.
Therefore, the invention deeply analyzes the real-time property, stability and accuracy of data transmission among systems by combining the performance detection of a network layer and the time sequence analysis of an application layer in data transmission, can check the performance of network data transmission and the effectiveness of data in real time, quickly compares the data capturing time sequence and the signal system processing time sequence, and confirms whether the data display abnormity and the time sequence abnormity exist in the signal system and the network transmission data among the systems exist linkage. The method provides accurate specifications for data display of a signal system, is favorable for improving the data maintenance management level, lightens the working intensity of data maintenance personnel, and compresses data exception handling delay.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (5)
1. A signal system time sequence consistency analysis method based on network data capture is characterized by comprising the following steps:
(1) establishing a data identification set according to the interface data specification requirement;
(2) formulating a signal system time sequence consistency analysis rule;
(3) establishing a data analysis and signal system time sequence consistency analysis knowledge base;
(4) detecting and judging the data abnormity between systems;
(5) analyzing the time sequence of the network capture data, and detecting the correctness of the time sequence of the signal system;
according to the service requirements among systems, by combining two attribute categories and four display modes of data, a corresponding time sequence consistency rule is formulated for each category of data as follows:
(a) time-stamped data: the requirement on the system time sequence is low, and the data can be processed in time;
(b) non-timestamped data that needs to be displayed in real time: the requirement on the consistency of the system time sequence is high, the data can be processed within 1s, and the system can correctly display the equipment state only if the sequence is correct;
(c) non-timestamped data requiring historical playback: the requirement on the consistency of the system time sequence is high, the data can be processed within 1s, and the playback authenticity can be ensured only if the sequence is correct;
(d) non-timestamped data requiring interface queries: the requirement on the consistency of the system time sequence is high, the data can be processed within 5 seconds, and the query correctness can be ensured only if the sequence is correct;
(e) non-timestamped data that requires logical association: the requirement on the consistency of the system time sequence is high, data needs to be processed within the set time according to the service, and the correctness of the logical association relation can be ensured only if the sequence is correct.
2. The method for analyzing timing consistency of a signal system based on network data acquisition as claimed in claim 1, wherein the establishing of the data identification set specifically comprises: analyzing the characteristics of service transmission data among systems, defining unique identification for each type of service data, and establishing a complete data identification set.
3. The method according to claim 1, wherein the step of establishing a knowledge base for data analysis and signal system timing consistency analysis specifically comprises:
and collecting service meanings represented by various data, and constructing a knowledge base for analyzing the time sequence consistency of the signal system based on a time sequence consistency analysis rule, so as to comprehensively and deeply describe the relation between the working state of the system and the data transmission time sequence.
4. The method according to claim 1, wherein the inter-system data anomaly detection and determination specifically comprises:
and establishing a standard data storage buffer pool, combining data protocol standards, realizing data structure analysis, and quickly judging the correctness of captured data.
5. The method as claimed in claim 1, wherein the step of analyzing the timing sequence of the network captured data comprises the following steps:
by time sequence analysis of network captured data, and comparison of the results of signal system time sequence consistency analysis rules, data analysis and signal system time sequence consistency analysis knowledge base analysis, the problem of system time sequence consistency can be quickly confirmed.
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| CN108683558A (en) * | 2018-05-10 | 2018-10-19 | 中国铁路总公司 | Railway security Communication Protocol Conformance Testing Methodology |
| CN109409523A (en) * | 2018-10-10 | 2019-03-01 | 上海精密计量测试研究所 | The determination method of event instance and event classes relation |
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