CN111654417A - Evaluation method and device, storage medium, processor and train - Google Patents
Evaluation method and device, storage medium, processor and train Download PDFInfo
- Publication number
- CN111654417A CN111654417A CN202010514823.1A CN202010514823A CN111654417A CN 111654417 A CN111654417 A CN 111654417A CN 202010514823 A CN202010514823 A CN 202010514823A CN 111654417 A CN111654417 A CN 111654417A
- Authority
- CN
- China
- Prior art keywords
- evaluation
- subsystem
- train
- network
- network system
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0823—Errors, e.g. transmission errors
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L15/00—Indicators provided on the vehicle or vehicle train for signalling purposes ; On-board control or communication systems
- B61L15/0018—Communication with or on the vehicle or vehicle train
- B61L15/0036—Conductor-based, e.g. using CAN-Bus, train-line or optical fibres
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/06—Generation of reports
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
Abstract
The invention discloses an evaluation method and device, a storage medium, a processor and a train. Wherein, the method comprises the following steps: acquiring a plurality of subsystems of a distributed network system and an evaluation index of each subsystem, wherein the distributed network system is a network system deployed on a train; acquiring evaluation data corresponding to the evaluation index of each subsystem in the running process of the train to generate an evaluation data set; and analyzing the evaluation data of each subsystem by adopting a corresponding evaluation model to obtain a plurality of sub-analysis results. The invention solves the technical problems that the traditional bus type technology in the prior art can not meet the requirement of large-capacity train communication, and the application of real-time Ethernet in a train control network is not stable enough, so that the train communication network has potential safety hazards.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an evaluation method and device, a storage medium, a processor and a train.
Background
With the increase of equipment and transmission data in urban rail trains, the traditional bus-based technology cannot meet the requirement of large-capacity train communication. The real-time Ethernet has high transmission rate, large capacity and high compatibility, and can be used for meeting the communication requirement of the train; however, the application of the real-time ethernet in the train control network is just started, and the transmission message is not stable when the train operates, so that the method of using the real-time ethernet as the train communication is not stable enough, and the information transmission may be delayed, which brings potential safety hazard to the safe operation of the train.
Aiming at the problems that the traditional bus type technology in the prior art cannot meet the requirement of large-capacity train communication, and the application of the real-time Ethernet in a train control network is not stable enough, so that potential safety hazards exist in the train communication network, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides an evaluation method and device, a storage medium, a processor and a train, and at least solves the technical problems that the traditional bus type technology in the prior art cannot meet the requirement of large-capacity train communication, and the application of real-time Ethernet in a train control network is not stable enough, so that the train communication network has potential safety hazards.
According to an aspect of an embodiment of the present invention, there is provided an evaluation method including: acquiring a plurality of subsystems of a distributed network system and an evaluation index of each subsystem, wherein the distributed network system is a network system deployed on a train; acquiring evaluation data corresponding to the evaluation indexes of each subsystem in the running process of the train to generate an evaluation data set; and analyzing the evaluation data of each subsystem by adopting a corresponding evaluation model to obtain a plurality of sub-analysis results, wherein the overall evaluation result of the network of the train is composed of the plurality of sub-analysis results.
The evaluation method further comprises the step that the plurality of subsystems correspond to different weight values, wherein the sub-analysis result and the weight value of each subsystem are used for calculating the overall evaluation result of the network.
Optionally, a state of the distributed network system is determined based on a value range of the overall network evaluation result, where the state includes at least one of: network monitoring status, network sub-health status, and network fault status.
Optionally, after obtaining a plurality of subsystems of the distributed network system and an evaluation index of each subsystem, the evaluation method further includes: generating the evaluation data set based on the evaluation index of each subsystem and the measurement result of each subsystem at different time, wherein the evaluation data set is stored in a matrix form.
Optionally, the evaluation index includes at least: delay jitter, packet loss rate and bandwidth.
Optionally, the data statistics of the evaluation data grow over time.
According to another aspect of the embodiments of the present invention, there is also provided an evaluation apparatus including: the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring a plurality of subsystems of a distributed network system and an evaluation index of each subsystem, and the distributed network system is a network system deployed on a train; the acquisition module is used for acquiring the evaluation data corresponding to the evaluation index of each subsystem in the running process of the train to generate an evaluation data set; and the analysis module is used for analyzing the evaluation data of each subsystem by adopting a corresponding evaluation model to obtain a plurality of sub-analysis results, wherein the overall evaluation result of the network of the train is formed by the plurality of sub-analysis results.
Optionally, the plurality of subsystems correspond to different weight values, wherein the sub-analysis result and the weight value of each subsystem are used for calculating the overall network evaluation result.
Optionally, the evaluation device further comprises: a confirming module, configured to determine a state of the distributed network system based on a value range in which the overall network evaluation result is located, where the state includes at least one of: network monitoring status, network sub-health status, and network fault status.
Optionally, the evaluation device further comprises: a generating module, configured to generate the evaluation data set based on the evaluation index of each subsystem and a measurement result of each subsystem at different time, where the evaluation data set is stored in a matrix form.
Optionally, the evaluation index includes at least: delay jitter, packet loss rate and bandwidth.
Optionally, the data statistics of the evaluation data grow over time.
According to another aspect of an embodiment of the present invention, there is also provided a computer-readable storage medium including a stored program, wherein the program performs the evaluation method of any one of the above.
According to another aspect of the embodiment of the present invention, there is also provided a processor, configured to run a program, where the program executes to perform the evaluation method described in any one of the above.
According to another aspect of the embodiment of the present invention, there is also provided a train, including: a memory, a processor coupled with the memory, the memory and the processor communicating over a bus system; the memory is used for storing a program, wherein the program when executed by the processor controls the device in which the memory is located to perform the evaluation method of any one of the above; the processor is configured to run a program, wherein the program performs the evaluation method of any one of the above when running.
In the embodiment of the invention, a plurality of subsystems of a distributed network system and an evaluation index of each subsystem are obtained, wherein the distributed network system is a network system deployed on a train; acquiring evaluation data corresponding to the evaluation index of each subsystem in the running process of the train to generate an evaluation data set; and analyzing the evaluation data of each subsystem by adopting a corresponding evaluation model to obtain a plurality of sub-analysis results, wherein the overall evaluation result of the network of the train consists of a plurality of sub-analysis results. By the evaluation method provided by the embodiment of the invention, performance change conditions between subsystems and a network or on a time scale are analyzed based on different strategies to obtain an analysis result, so that the probability of failure occurrence can be greatly reduced if precautionary measures can be taken in advance before the network fails, the purpose of loss reduction is achieved, the technical effect of improving the safety of a train communication network is achieved, and the technical problems that the traditional bus type technology in the prior art cannot meet the requirement of large-capacity train communication, and the application of a real-time Ethernet in a train control network is not stable enough, so that the train communication network has potential safety hazards are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of an evaluation method according to an embodiment of the invention;
fig. 2 is a schematic view of an evaluation device according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In order to solve the above problems, a conventional network performance evaluation model is usually developed for a local system, such as using a classification algorithm, however, in train operation, an evaluated object is a complex distributed network system on a vehicle, the network system is composed of a plurality of subsystems, and according to the difference of vehicle-mounted subsystems and the difference of analysis indexes, the performance of the network system also needs to be evaluated from different time and space dimensions. In order to solve the problem of selecting an evaluation index in the process of evaluating the running performance of the real-time ethernet network of a train, an evaluation method and an evaluation device are provided in the embodiments of the present invention, which are described in detail below.
Example 1
In accordance with an embodiment of the present invention, there is provided a method embodiment of an evaluation method, it being noted that the steps illustrated in the flowchart of the figure may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
Fig. 1 is a flowchart of an evaluation method according to an embodiment of the present invention, as shown in fig. 1, the evaluation method including the steps of:
step S102, a plurality of subsystems of a distributed network system and an evaluation index of each subsystem are obtained, wherein the distributed network system is a network system deployed on a train.
And step S104, acquiring evaluation data corresponding to the evaluation indexes of each subsystem in the running process of the train, and generating an evaluation data set.
Optionally, the data statistics of the evaluation data grow over time.
In an alternative embodiment, the above-mentioned evaluation data (i.e., the ethernet evaluation index data) is collected while the train is running, and the data statistics of part or all of the evaluation data increase with time, for example, the number of received packets increases with time, so that it is necessary to unitize the part of the data. The selected indexes are different dimensions, different data have larger difference, and the direct data processing has no great significance. Therefore, in the embodiment of the present invention, a matrix is formed by performing performance evaluation and measurement values of each sub-device at different times, and scaling is performed to avoid that an attribute with an excessively large data interval dominates an attribute with a smaller value interval and avoid complexity of data in calculation, so that data is neater, and contribution of each feature quantity in model construction is more average.
And S106, analyzing the evaluation data of each subsystem by adopting a corresponding evaluation model to obtain a plurality of sub-analysis results, wherein the overall evaluation result of the train network is composed of a plurality of sub-analysis results.
As can be seen from the above, in the embodiment of the present invention, a plurality of subsystems of a distributed network system and an evaluation index of each subsystem may be obtained, where the distributed network system is a network system deployed on a train; acquiring evaluation data corresponding to the evaluation index of each subsystem in the running process of the train to generate an evaluation data set; the method comprises the steps of analyzing evaluation data of each subsystem by adopting a corresponding evaluation model to obtain a plurality of sub-analysis results, wherein the overall evaluation result of the train network is composed of a plurality of sub-analysis results, so that the performance change condition between the subsystems and the network or on a time scale is analyzed based on different strategies, the analysis results are obtained, the probability of fault occurrence can be greatly reduced if precautionary measures can be taken in advance before the network fails, the loss is reduced, and the technical effect of improving the safety of the train communication network is achieved.
Therefore, the evaluation method provided by the embodiment of the invention solves the technical problems that the traditional bus type technology in the prior art cannot meet the requirement of large-capacity train communication, and the application of the real-time Ethernet in the train control network is not stable enough, so that the train communication network has potential safety hazards.
In an optional embodiment, the evaluation method may further include that the plurality of subsystems correspond to different weight values, wherein the sub-analysis result and the weight value of each subsystem are used for calculating the overall evaluation result of the network.
In an optional embodiment, the state of the distributed network system is determined based on a value range of the overall network evaluation result, where the state includes at least one of the following: network monitoring status, network sub-health status, and network fault status.
In an optional embodiment, after obtaining the plurality of subsystems of the distributed network system and the evaluation index of each subsystem, the evaluation method further includes: and generating an evaluation data set based on the evaluation index of each subsystem and the measurement result of each subsystem at different time, wherein the evaluation data set is stored in a matrix form.
For example, assuming that measurement data on n subsystems at t time points are given for a certain evaluation index, which is called as given by nt samples, the corresponding data is represented by a matrix a, which is specifically represented by the following formula (1):
wherein, A is n × t matrix, each row of the matrix represents the measured value of the same subsystem at different time, each column represents the measured value of different subsystems at the same time, the indexes have sample matrixes of sending delay jitter J, packet loss rate L and bandwidth B, respectively.
For the work efficiency value, the evaluation index value of the different dimension can be converted into the work efficiency value. For a certain time T, calculating the effective value by using a weighted average method to obtain the effective value of the subsystemThe performance evaluation value represents the performance condition of the subsystem, and the value can also be used for comparison among various subsystems, and the specific calculation formula is as follows (2), (3) and (4):
in the formula, in the above-mentioned formula,
represents the jth subsystem performance evaluation index, k represents the total number of the selected indexes, omegaiRepresents the weight of each i index, dijEfficacy value d 'of the ith positive indicator representing the jth subsystem'ijThe efficacy value of the ith negative index of the jth subsystem is represented;
In the embodiment of the invention, the corresponding performance score matrix can be obtained after the calculation is carried out through the efficacy function, and the weighting fusion calculation of the 3 performance factors is realized in the calculation process, so that the obtained performance score matrix can reflect the health degree of the performance of each subsystem communication process in each time window with 10s as a unit.
After the performance evaluation of multiple indexes in different subsystems is completed according to the method, the evaluation results need to be expanded and fused into the evaluation of the integral network upper-layer indexes, and at this time, a network integral performance index weighting fusion formula in an efficacy function is adopted for fusion calculation, specifically, the following formula (5) shows that:
in the formula, QNRepresenting the performance evaluation index of the whole Ethernet network of the train, n representing the number of subsystems, omegaiRepresenting the performance index weight of each subsystem.
In this embodiment, different subsystems in the train ethernet overall network can be given different weights according to needs, so as to more reasonably evaluate the performance status of the entire train ethernet. The weight of each subsystem process designed by the model can be shown in table 1:
TABLE 1
It should be noted that, the above table 1 shows an optional weighting manner, and different items can flexibly adjust the weight according to the actual subsystem conditions to meet the requirements of different items.
And (3) calculating by the formula (5) and combining the weight distribution to obtain a final overall network performance evaluation score result. The evaluation value adopts a percentage system, ranges from 0 to 100, and is divided into three different states, including: network health status: the evaluation value range is 80-100, and all indexes of the subsystem in the state are healthy, so that the normal operation of the train can be ensured; network sub-health status: the evaluation value range is 60-79, the subsystem in the state can have sporadic data abnormality, but the influence is small, the normal operation of the train can be basically ensured, when the network sub-health state of 2-4 continuous moments occurs, the communication environment is not good, larger communication abnormality can be possibly caused, and the related subsystem needs to be checked at the moment; network failure state: the evaluation value ranges from 0 to 59, communication faults of the subsystems in the state occur, related equipment needs to be checked and processed in time, and otherwise normal operation of the train is affected.
Conventional network performance evaluation metrics include: the link utilization rate, the time delay, the jitter, the throughput, the packet loss rate and the like, and the more the indexes which are not considered in the practical application are, the better the effect is due to the particularity and the complexity of the train Ethernet. Therefore, in the embodiment of the present invention, 3 important indexes of delay jitter, packet loss rate and available bandwidth are selected as the comprehensive performance parameters.
That is, in an alternative embodiment, the evaluation index at least includes: delay jitter, packet loss rate and bandwidth.
Optionally, in the above subsystems, the higher the definition performance evaluation index value is, the better the performance of the subsystem is, and conversely, the worse the performance of the subsystem is.
In addition, the above evaluation index may be divided into a positive index and a negative index, and a larger index value indicates better performance and is called a positive index, and a smaller index value indicates better performance and is called a negative index.
When an evaluation index is selected, the larger the delay jitter is, the higher the packet loss rate is, and the worse the performance of the subsystem is; conversely, the larger the available bandwidth, the better the performance of the subsystem. Therefore, the available bandwidth is a positive indicator, and the delay jitter and the packet loss rate are inverse indicators.
By the evaluation method provided by the embodiment of the invention, each subsystem and the whole network in the train are evaluated by adopting a multi-index comprehensive performance evaluation model based on a time sequence, so that each sub-device and the whole network in the train can be maintained to stably and reliably run, and the self-service management of the train is realized.
Example 2
According to another aspect of the embodiment of the present invention, there is also provided an evaluation apparatus, and fig. 2 is a schematic view of the evaluation apparatus according to the embodiment of the present invention, as shown in fig. 2, the evaluation apparatus including: an acquisition module 21, an acquisition module 23 and an analysis module 25. The evaluation apparatus will be explained below.
The obtaining module 21 is configured to obtain a plurality of subsystems of a distributed network system and an evaluation index of each subsystem, where the distributed network system is a network system deployed on a train.
And the acquisition module 23 is configured to acquire evaluation data corresponding to the evaluation index of each subsystem in the running process of the train, and generate an evaluation data set.
And the analysis module 25 is configured to analyze the evaluation data of each subsystem by using a corresponding evaluation model to obtain a plurality of sub-analysis results, where the overall evaluation result of the train network is composed of a plurality of sub-analysis results.
It should be noted here that the acquiring module 21, the collecting module 23 and the analyzing module 25 correspond to steps S102 to S106 in the embodiment, and the units are the same as the examples and application scenarios realized by the corresponding steps, but are not limited to the disclosure in the embodiment. It should be noted that the above-described elements as part of an apparatus may be implemented in a computer system, such as a set of computer-executable instructions.
As can be seen from the above, in the above embodiment of the present application, the obtaining module may be used to obtain a plurality of subsystems of the distributed network system and an evaluation index of each subsystem, where the distributed network system is a network system deployed on a train; then, acquiring evaluation data corresponding to the evaluation indexes of each subsystem by using an acquisition module in the running process of the train to generate an evaluation data set; and analyzing the evaluation data of each subsystem by using an analysis module by using a corresponding evaluation model to obtain a plurality of sub-analysis results, wherein the overall evaluation result of the network of the train consists of a plurality of sub-analysis results. By the evaluation device provided by the embodiment of the invention, performance change conditions between subsystems and a network or on a time scale are analyzed based on different strategies to obtain an analysis result, so that the probability of failure occurrence can be greatly reduced if precautionary measures can be taken in advance before the network fails, the purpose of loss reduction is achieved, the technical effect of improving the safety of a train communication network is achieved, and the technical problems that the traditional bus type technology in the prior art cannot meet the requirement of large-capacity train communication, and the application of a real-time Ethernet in a train control network is not stable enough, so that the train communication network has potential safety hazards are solved.
In an alternative embodiment, the plurality of subsystems correspond to different weight values, wherein the sub-analysis result and the weight value of each subsystem are used for calculating the overall evaluation result of the network.
In an alternative embodiment, the evaluation device further comprises: the confirming module is used for confirming the state of the distributed network system based on the value range of the overall network evaluation result, wherein the state comprises at least one of the following states: network monitoring status, network sub-health status, and network fault status.
In an alternative embodiment, the evaluation device further comprises: and the generation module is used for generating an evaluation data set based on the evaluation index of each subsystem and the measurement result of each subsystem at different time, wherein the evaluation data set is stored in a matrix form.
In an alternative embodiment, evaluating the metrics includes at least: delay jitter, packet loss rate and bandwidth.
In an alternative embodiment, the data statistics of the evaluation data grow over time.
Example 3
According to another aspect of an embodiment of the present invention, there is also provided a computer-readable storage medium including a stored program, wherein the program performs the evaluation method of any one of the above.
Example 4
According to another aspect of the embodiment of the present invention, there is also provided a processor, configured to execute a program, where the program executes to perform the evaluation method of any one of the above.
Example 5
According to another aspect of the embodiment of the present invention, there is also provided a train, including: a memory, a processor coupled to the memory, the memory and the processor communicating via a bus system; the memory is used for storing a program, wherein the program controls the equipment where the memory is located to execute any one of the evaluation methods when the program is executed by the processor; the processor is configured to run a program, wherein the program performs any one of the above evaluation methods when running.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. An evaluation method, comprising:
acquiring a plurality of subsystems of a distributed network system and an evaluation index of each subsystem, wherein the distributed network system is a network system deployed on a train;
acquiring evaluation data corresponding to the evaluation indexes of each subsystem in the running process of the train to generate an evaluation data set;
and analyzing the evaluation data of each subsystem by adopting a corresponding evaluation model to obtain a plurality of sub-analysis results, wherein the overall evaluation result of the network of the train is composed of the plurality of sub-analysis results.
2. The method of claim 1, further comprising the step of assigning different weight values to the plurality of subsystems, wherein the sub-analysis result and the weight value of each subsystem are used for calculating the overall evaluation result of the network.
3. The method according to claim 2, wherein the state of the distributed network system is determined based on a value range of the overall network evaluation result, wherein the state includes at least one of: network monitoring status, network sub-health status, and network fault status.
4. The method of claim 1, wherein after obtaining the plurality of subsystems of the distributed network system and the evaluation index for each subsystem, the method further comprises:
generating the evaluation data set based on the evaluation index of each subsystem and the measurement result of each subsystem at different time, wherein the evaluation data set is stored in a matrix form.
5. The method according to any one of claims 1 to 4, wherein the evaluation index comprises at least: delay jitter, packet loss rate and bandwidth.
6. The method of any one of claims 1 to 4, wherein the data statistics of the evaluation data grow over time.
7. An evaluation device, comprising:
the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring a plurality of subsystems of a distributed network system and an evaluation index of each subsystem, and the distributed network system is a network system deployed on a train;
the acquisition module is used for acquiring the evaluation data corresponding to the evaluation index of each subsystem in the running process of the train to generate an evaluation data set;
and the analysis module is used for analyzing the evaluation data of each subsystem by adopting a corresponding evaluation model to obtain a plurality of sub-analysis results, wherein the overall evaluation result of the network of the train is formed by the plurality of sub-analysis results.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium includes a stored program, wherein the program performs the evaluation method of any one of claims 1 to 6.
9. A processor, characterized in that the processor is configured to run a program, wherein the program when running performs the evaluation method of any one of claims 1 to 6.
10. A train, comprising:
a memory, a processor coupled with the memory, the memory and the processor communicating over a bus system;
the memory is used for storing a program, wherein the program when executed by the processor controls the device in which the memory is located to perform the evaluation method of any one of claims 1 to 6;
the processor is configured to run a program, wherein the program when running performs the evaluation method of any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010514823.1A CN111654417A (en) | 2020-06-08 | 2020-06-08 | Evaluation method and device, storage medium, processor and train |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010514823.1A CN111654417A (en) | 2020-06-08 | 2020-06-08 | Evaluation method and device, storage medium, processor and train |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111654417A true CN111654417A (en) | 2020-09-11 |
Family
ID=72347484
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010514823.1A Pending CN111654417A (en) | 2020-06-08 | 2020-06-08 | Evaluation method and device, storage medium, processor and train |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111654417A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114095345A (en) * | 2021-10-22 | 2022-02-25 | 深信服科技股份有限公司 | Method, device, equipment and storage medium for evaluating health condition of host network |
| CN115277294A (en) * | 2022-07-27 | 2022-11-01 | 中车青岛四方车辆研究所有限公司 | Differential bus online health diagnosis method and system |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050082133A1 (en) * | 2003-10-20 | 2005-04-21 | Sergio Panetta | Rail based electric power distribution network |
| CN1946602A (en) * | 2004-04-26 | 2007-04-11 | 通用电气公司 | On-board message repeater for railroad train communications system |
| CN101022378A (en) * | 2007-03-13 | 2007-08-22 | 株洲南车时代电气股份有限公司 | Train communication network management method and apparatus |
| WO2014012164A1 (en) * | 2012-07-17 | 2014-01-23 | Thales Canada Inc. | Intra-train network management system |
| CN103888323A (en) * | 2014-04-22 | 2014-06-25 | 株洲南车时代电气股份有限公司 | Ethernet equipment first-operation behavior consistency testing method and device |
| CN103968893A (en) * | 2014-03-17 | 2014-08-06 | 南车株洲电力机车有限公司 | Train operation experimental device based on distributed testing system |
| CN105574299A (en) * | 2016-02-19 | 2016-05-11 | 上海果路交通科技有限公司 | Safety pre-evaluation method for rail transit signal system |
| CN105806637A (en) * | 2016-03-14 | 2016-07-27 | 中车青岛四方机车车辆股份有限公司 | General testing system of railway vehicles |
| CN106061821A (en) * | 2013-12-24 | 2016-10-26 | 阿母斯替德铁路公司 | System and method for detecting operational anomalies in train consists and railcars |
| CN107600110A (en) * | 2017-09-12 | 2018-01-19 | 中国中车股份有限公司 | A kind of vehicle-mounted train groups prognostic and health management system |
| CN109152099A (en) * | 2018-10-10 | 2019-01-04 | 北京新联铁集团股份有限公司 | Rail traffic vehicles passive wireless sensor network node network-building method and device |
| CN109639516A (en) * | 2018-10-17 | 2019-04-16 | 平安科技（深圳）有限公司 | Monitoring method, device, equipment and the storage medium of distributed network system (DNS) |
| CN110809280A (en) * | 2019-10-21 | 2020-02-18 | 北京锦鸿希电信息技术股份有限公司 | Detection and early warning method and device for railway wireless network quality |
-
2020
- 2020-06-08 CN CN202010514823.1A patent/CN111654417A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050082133A1 (en) * | 2003-10-20 | 2005-04-21 | Sergio Panetta | Rail based electric power distribution network |
| CN1946602A (en) * | 2004-04-26 | 2007-04-11 | 通用电气公司 | On-board message repeater for railroad train communications system |
| CN101022378A (en) * | 2007-03-13 | 2007-08-22 | 株洲南车时代电气股份有限公司 | Train communication network management method and apparatus |
| CN104782183A (en) * | 2012-07-17 | 2015-07-15 | 泰雷兹加拿大公司 | Intra-train network management system |
| WO2014012164A1 (en) * | 2012-07-17 | 2014-01-23 | Thales Canada Inc. | Intra-train network management system |
| CN106061821A (en) * | 2013-12-24 | 2016-10-26 | 阿母斯替德铁路公司 | System and method for detecting operational anomalies in train consists and railcars |
| CN103968893A (en) * | 2014-03-17 | 2014-08-06 | 南车株洲电力机车有限公司 | Train operation experimental device based on distributed testing system |
| CN103888323A (en) * | 2014-04-22 | 2014-06-25 | 株洲南车时代电气股份有限公司 | Ethernet equipment first-operation behavior consistency testing method and device |
| CN105574299A (en) * | 2016-02-19 | 2016-05-11 | 上海果路交通科技有限公司 | Safety pre-evaluation method for rail transit signal system |
| CN105806637A (en) * | 2016-03-14 | 2016-07-27 | 中车青岛四方机车车辆股份有限公司 | General testing system of railway vehicles |
| CN107600110A (en) * | 2017-09-12 | 2018-01-19 | 中国中车股份有限公司 | A kind of vehicle-mounted train groups prognostic and health management system |
| CN109152099A (en) * | 2018-10-10 | 2019-01-04 | 北京新联铁集团股份有限公司 | Rail traffic vehicles passive wireless sensor network node network-building method and device |
| CN109639516A (en) * | 2018-10-17 | 2019-04-16 | 平安科技（深圳）有限公司 | Monitoring method, device, equipment and the storage medium of distributed network system (DNS) |
| CN110809280A (en) * | 2019-10-21 | 2020-02-18 | 北京锦鸿希电信息技术股份有限公司 | Detection and early warning method and device for railway wireless network quality |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114095345A (en) * | 2021-10-22 | 2022-02-25 | 深信服科技股份有限公司 | Method, device, equipment and storage medium for evaluating health condition of host network |
| CN115277294A (en) * | 2022-07-27 | 2022-11-01 | 中车青岛四方车辆研究所有限公司 | Differential bus online health diagnosis method and system |
| CN115277294B (en) * | 2022-07-27 | 2024-03-26 | 中车青岛四方车辆研究所有限公司 | Differential bus online health diagnosis method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111652496B (en) | Running risk assessment method and device based on network security situation awareness system | |
| DE102012102770B4 (en) | System and method for error isolation and error mitigation based on network modeling | |
| CN114629802B (en) | Service awareness-based power communication backbone network quality assessment method | |
| CN108347352B (en) | Method for diagnosing performance of information system and equipment in power system | |
| CN111654417A (en) | Evaluation method and device, storage medium, processor and train | |
| CN109034580B (en) | Information system overall health degree evaluation method based on big data analysis | |
| CN108259263A (en) | Data analysing method, apparatus and system | |
| CN115221982B (en) | Traction power supply operation and maintenance method and device, terminal and storage medium | |
| CN112287556A (en) | Method and device for determining insulation state of cable | |
| CN104573329B (en) | A kind of evaluation method of electric power communication device spare parts supply probability and minimum spare part number | |
| CN114167217A (en) | Multiple fault diagnosis method for railway power distribution network | |
| CN104573866B (en) | A kind of method and system for predicting power equipments defect | |
| CN117336228A (en) | IGP simulation recommendation method, device and medium based on machine learning | |
| CN116485159B (en) | Work order centralized management method of power supply system | |
| CN111953531B (en) | Network fault analysis method and device | |
| CN110609761B (en) | Method and device for determining fault source, storage medium and electronic equipment | |
| CN111191867B (en) | Reliability evaluation method for complex network of power system | |
| CN109687592A (en) | Substation information display control method, device and electronic equipment | |
| CN103258114A (en) | Multiple centrality measure based minimum break point set vulnerability analyzing method | |
| CN115408182A (en) | Service system fault positioning method and device | |
| CN112001073A (en) | Reliability analysis research method of traction power supply system | |
| CN114117786A (en) | Stadium power supply system maintenance method, system, equipment and medium | |
| CN115372752A (en) | Fault detection method, device, electronic equipment and storage medium | |
| CN113642171A (en) | Power transmission and transformation equipment health state evaluation system and method based on big data | |
| Li et al. | A practical approach for network application reliability assessment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200911 |