CN118046947A - C3 timeout analysis method, device, equipment and medium based on interpretable rule - Google Patents

Abstract

The invention discloses a C3 timeout analysis method, device, equipment and medium based on interpretable rules. The method comprises the steps of obtaining vehicle-ground communication full-link data information; carrying out standardized processing on the vehicle-ground communication all-link data information by adopting a data time slot alignment method to obtain standard vehicle-ground communication all-link data information; carrying out feature extraction on standard train-ground communication all-link data information in parallel according to a data feature extraction method in a multithreading processing mode to obtain a target extraction feature set; acquiring and carrying out reasoning analysis on the target extracted feature set according to the interpretable reasoning rule base to obtain a data analysis result corresponding to the vehicle-ground communication full-link data information, and dynamically updating a reasoning process record table; and feeding back the data analysis result and the reasoning process record table to the user. The problem of low reliability caused by determining a fault analysis result through data analysis of a model is solved, and the accuracy and reliability of C3 overtime analysis are improved.

Description

C3 timeout analysis method, device, equipment and medium based on interpretable rule

Technical Field

The present invention relates to the field of data processing technologies, and in particular, to a C3 timeout analysis method, device, apparatus, and medium based on interpretable rules.

Background

With the development of high-speed railways, key technologies of CTCS-3 level train control systems (C3 train control systems for short) are mature, but problems of wireless timeout still frequently occur in the actual train operation and maintenance process of user equipment. The research of automatic comprehensive analysis on the C3 wireless communication overtime degradation fault is important to improve the fault analysis accuracy and efficiency and solve the problem that the difficult fault can not be positioned.

The inventors have found that the following drawbacks exist in the prior art in the process of implementing the present invention: currently, in artificial intelligence technology based on deep learning, in actual fault diagnosis, factors such as sudden occurrence of faults, ambiguity of correspondence between signal devices and faults, etc. make the number of samples of typical faults limited, so that it is difficult to obtain satisfactory results in fault diagnosis of small sample problems. At the same time, most models are opaque, i.e. the model does not provide the necessary interpretation process while producing high precision results. The unexplainability of the model seriously affects the trust degree of people on the model decision, and the reliability and the robustness of the model are widely questioned.

Disclosure of Invention

The invention provides a C3 timeout analysis method, device, equipment and medium based on an interpretable rule, so as to improve the accuracy and reliability of C3 timeout analysis based on the interpretable rule.

According to an aspect of the present invention, there is provided a C3 timeout analysis method based on an interpretable rule, including:

Acquiring vehicle-ground communication full-link data information; wherein the vehicle-to-ground communication full-link data information comprises at least one of the following: the system comprises train-ground communication signaling data information, train-ground communication service data information, train-ground communication measurement report data information, train cell switching record data information, vehicle-mounted log information and ground center equipment log information;

Carrying out standardized processing on the vehicle-ground communication all-link data information through a preset data time slot alignment method to obtain standard vehicle-ground communication all-link data information;

Carrying out feature extraction on the standard train-ground communication all-link data information in parallel according to a preset data feature extraction method in a multithreading processing mode to obtain a target extracted feature set;

Acquiring and carrying out inference analysis on the target extraction features according to a pre-constructed interpretable inference rule base to obtain a data analysis result corresponding to the vehicle-ground communication full-link data information, and dynamically updating an inference process record table;

And feeding back the data analysis result and the reasoning process record table to a user.

According to another aspect of the present invention, there is provided a C3 timeout analysis device based on interpretable rules, including:

The vehicle-ground communication all-link data information acquisition module is used for acquiring vehicle-ground communication all-link data information; wherein the vehicle-to-ground communication full-link data information comprises at least one of the following: the system comprises train-ground communication signaling data information, train-ground communication service data information, train-ground communication measurement report data information, train cell switching record data information, vehicle-mounted log information and ground center equipment log information;

The standard vehicle-to-ground communication all-link data information determining module is used for carrying out standardized processing on the vehicle-to-ground communication all-link data information through a preset data time slot alignment method to obtain standard vehicle-to-ground communication all-link data information;

The target extraction feature set determining module is used for extracting features of the standard train-ground communication all-link data information in parallel according to a preset data feature extracting method in a multithreading processing mode to obtain a target extraction feature set;

The data analysis result determining module is used for acquiring and carrying out reasoning analysis on the target extraction feature set according to a pre-constructed interpretable reasoning rule base to obtain a data analysis result corresponding to the vehicle-ground communication full-link data information, and dynamically updating a reasoning process record table;

And the feedback operation module is used for carrying out feedback operation on the data analysis result and the reasoning process record table to a user.

According to another aspect of the present invention, there is provided an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the C3 timeout analysis method according to any of the embodiments of the present invention based on the interpretable rule when the computer program is executed by the processor.

According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the C3 timeout analysis method according to any one of the embodiments of the present invention based on interpretable rules.

According to the technical scheme, the vehicle-ground communication full-link data information is acquired; carrying out standardized processing on the vehicle-ground communication all-link data information through a preset data time slot alignment method to obtain standard vehicle-ground communication all-link data information; carrying out feature extraction on the standard train-ground communication all-link data information in parallel according to a preset data feature extraction method in a multithreading processing mode to obtain a target extracted feature set; acquiring and carrying out inference analysis on the target extraction feature set according to a pre-constructed interpretable inference rule base to obtain a data analysis result corresponding to the vehicle-ground communication full-link data information, and dynamically updating an inference process record table; and feeding back the data analysis result and the reasoning process record table to a user. The problem of low reliability caused by determining a fault analysis result through data analysis of a model is solved, the accuracy and reliability of C3 timeout analysis are improved, and the robustness of C3 timeout analysis is improved.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1a is a flow chart of a C3 timeout analysis method based on interpretable rules according to a first embodiment of the present invention;

FIG. 1b is a schematic diagram of a feature reasoning process in a method according to a first embodiment of the present invention;

FIG. 2 is a schematic structural diagram of a C3 timeout analysis device based on an interpretable rule according to a second embodiment of the present invention;

fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.

It should be noted that the terms "target," "current," and the like in the description and claims of the present invention and the above-described drawings are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise 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.

Example 1

Fig. 1a is a flowchart of a C3 timeout analysis method based on an interpretable rule according to an embodiment of the present invention, where the method may be performed by a C3 timeout analysis device based on an interpretable rule, and the C3 timeout analysis device based on an interpretable rule may be implemented in hardware and/or software.

Accordingly, as shown in fig. 1a, the method comprises:

S110, acquiring vehicle-ground communication full-link data information.

Wherein the vehicle-to-ground communication full-link data information comprises at least one of the following: the system comprises train-ground communication signaling data information, train-ground communication service data information, train-ground communication measurement report data information, train cell switching record data information, vehicle-mounted log information and ground center equipment log information.

Wherein, the vehicle-ground communication full-link data information can be obtained from different monitoring points, and can be obtained from a vehicle-mounted side and GSM-R (Global System for Mobile Communications-

The Railway, railway digital mobile communication system) network side and the ground signal side.

Specifically, the description data information is required to be acquired through the train-ground communication complete link, and can include the position information, the communication state, the fault record and other data information of the train, so that the train-ground communication complete link data information can be further analyzed and processed to obtain a corresponding data analysis result.

And S120, carrying out standardized processing on the vehicle-ground communication all-link data information through a preset data time slot alignment method to obtain standard vehicle-ground communication all-link data information.

The data time slot alignment method can be to perform data time slot alignment standardization processing on different data, and in general, time slot alignment is the most important for a synchronous channel, and is time alignment and phase alignment, that is, time alignment and phase alignment processing operations are performed on all-link data information of vehicle-to-ground communication.

Specifically, the standard vehicle-ground communication full-link data information may be obtained by aligning the time slots to obtain corresponding standardized data information.

Optionally, the normalizing the all-link data information of the vehicle-to-ground communication by a preset data time slot alignment method to obtain the all-link data information of the standard vehicle-to-ground communication includes: carrying out standardization processing on the vehicle-ground communication all-link data information through a preset data time slot alignment method to obtain a vehicle-ground communication all-link data interface and a vehicle-ground communication all-link data type corresponding to the vehicle-ground communication all-link data information; and forming the standard vehicle-ground communication full-link data information according to the vehicle-ground communication full-link data interface and the vehicle-ground communication full-link data type.

The vehicle-ground communication all-link data interfaces can be data interfaces corresponding to the vehicle-ground communication all-link data information respectively.

Specifically, the data interfaces may include Abis interface data, a GSM-R network side group rate interface (PRI interface data) of a railway digital mobile communication system, a Radio Block Center (RBC) side PRI interface data, a base station side Um interface data, a vehicle side air interface data, a vehicle side Igms-R interface data, and an a interface data.

The type of the vehicle-ground communication full-link data can be a type for describing the vehicle-ground communication full-link data, and different vehicle-ground communication full-link data can correspond to different data types.

In this embodiment, the vehicle-ground communication full-link data interface and the vehicle-ground communication full-link data type are obtained through processing, so that standard vehicle-ground communication full-link data information is further formed according to the vehicle-ground communication full-link data interface and the vehicle-ground communication full-link data type, and thus description of the vehicle-ground communication state can be better performed.

S130, performing feature extraction on the standard vehicle-ground communication all-link data information in parallel according to a preset data feature extraction method in a multithreading processing mode to obtain a target extraction feature set.

In this embodiment, the description information of the processing core of the data analysis device may be acquired, so that the multithreading situation corresponding to the data analysis device may be further determined, so as to perform the multithreading processing operation on the standard train-ground communication full-link data information.

For example, assuming that the number of the multithreading corresponding to the data analysis device is m and the number of the standard vehicle-ground communication full-link data information is n, feature extraction operation can be further performed on the n standard vehicle-ground communication full-link data information through the m multithreading, so that a target extraction feature set is further obtained.

Optionally, the feature extraction is performed on the standard vehicle-ground communication all-link data information according to a preset data feature extraction method in parallel by using a multithreading processing mode to obtain a target extracted feature set, including: the method comprises the steps of obtaining the number of threads of multiple threads, and evenly distributing all-link data information of standard train-ground communication to each thread according to data types and data interfaces to obtain all-link data information of standard train-ground communication corresponding to each thread respectively; each thread performs feature extraction on the standard train-ground communication all-link data information according to the data feature extraction method in parallel in a multithreading processing mode to respectively obtain an extraction feature set corresponding to each thread; and combining the extracted feature sets corresponding to each thread respectively to obtain the target extracted feature set.

In this embodiment, the n standard vehicle-to-ground communication full-link data information may be evenly distributed to m multiple threads according to the data type and the data interface, where each thread obtains the corresponding standard vehicle-to-ground communication full-link data information, and of course, each thread may include one, or multiple, or no standard vehicle-to-ground communication full-link data information.

Further, feature extraction operation of standard train-ground communication full-link data information can be performed in parallel through each thread, so that an extracted feature set corresponding to each thread is obtained, and a corresponding target extracted feature set can be obtained.

In this embodiment, assuming that a thread does not have standard train-ground communication full-link data information, the feature extraction operation may not be performed.

Optionally, the feature extraction is performed on the standard train-ground communication all-link data information by each thread in parallel according to the data feature extraction method, so as to obtain an extracted feature set corresponding to each thread, which includes: judging whether data in the standard vehicle-ground communication full-link data information in each thread is available data or not according to the data characteristic extraction method; if yes, acquiring configuration file information and a feature candidate set respectively corresponding to all-link data information of each standard vehicle-ground communication, and determining the feature state of each candidate feature according to a preset feature extraction tool; wherein the characteristic state comprises at least one of: hit feature status, miss feature status, and initial feature status; and acquiring time description information corresponding to the feature state which is the hit feature state, and adding the time description information to the respective corresponding features to obtain an extracted feature set corresponding to each thread.

The configuration file information may be file information configured for standard vehicle-ground communication full-link data information. The candidate set of features may be a candidate set of features in the standard vehicle-to-ground communication full link data information. The feature extraction tool may be to make feature state determinations on the data and may overwrite the feature state of the data.

In this embodiment, global information initialization is first required for standard vehicle-to-ground communication full-link data information, and information such as abnormal link disassembly time, cell switching information, initial feature state and the like may be initialized.

Further, according to the data feature extraction method, whether the data in the standard vehicle-ground communication full-link data information in each thread is available data or not can be judged (if the data is available, the feature extraction execution is legal, otherwise, the feature extraction execution is illegal can be determined by unavailable data).

If the data is unavailable, the feature extraction operation is not executed as illegal operation, and an ending mark is returned, so that the thread is ended.

If data is available, the profile information is read, a feature candidate set for standard vehicle-to-ground communication full link data information coverage is obtained, and a feature state ("0" represents no data source, this is an initial feature state, "1" represents a hit feature state, and "1" represents a miss feature state) is initialized. Further, a feature extraction tool written in advance may be sequentially invoked to overwrite the feature state. If the status of the successfully overwritten feature is "1", the time description information (which may include a start time and an end time) of the feature appearing on the standard vehicle-to-ground communication full-link data information in the original data table is recorded into the database. Correspondingly, a feature extraction ending mark is returned, and the thread ends.

S140, acquiring and carrying out reasoning analysis on the target extraction feature set according to a pre-constructed interpretable reasoning rule base to obtain a data analysis result corresponding to the vehicle-ground communication full-link data information, and dynamically updating a reasoning process record table.

The interpretable reasoning rule base may be a preset interpretable rule base. The data analysis result may be a result of data analysis, and may describe a situation of a failure or a good state of the vehicle-ground communication link reflected by the vehicle-ground communication full-link data information. The inference process record table may be a table describing a characteristic inference process.

A schematic diagram of the feature reasoning process is shown in fig. 1 b. Assume that the target extraction feature set includes 6 features, E1, E2, E3, E4, E5, and E6, respectively. Furthermore, matching can be performed according to the priority of the interpretable rules in the interpretable reasoning rule library, so as to correspondingly obtain a data analysis result, and the reasoning process record table is dynamically updated.

Optionally, the obtaining and performing inference analysis on the target extracted feature set according to a pre-constructed interpretable inference rule base to obtain a data analysis result corresponding to the vehicle-ground communication full-link data information, and dynamically updating an inference process record table, including: acquiring the priority corresponding to each interpretable rule in the interpretable reasoning rule library; and carrying out matching reasoning analysis on the target extraction feature set according to the interpretable rule by the priority of each interpretable rule until all target extraction features in the target extraction feature set are traversed, so as to obtain a data analysis result corresponding to the vehicle-ground communication full-link data information, and dynamically updating a reasoning process record table.

The inference rule base comprises a plurality of interpretable rules, each rule has different priorities, and the inference operation of the features can be performed according to the order of the priorities, so that the corresponding data analysis result is obtained.

Optionally, the performing matching inference analysis on the target extraction feature set according to the interpretable rule by using the priority of each interpretable rule until all target extraction features are traversed, to obtain a data analysis result corresponding to the vehicle-ground communication full-link data information, includes: acquiring a first priority corresponding to the priority and a first interpretable rule corresponding to the first priority; judging whether the target extraction features in the target extraction feature set can be matched according to a first interpretable rule, if so, acquiring the next priority to perform matching reasoning analysis on the target extraction feature set until all the target extraction features are traversed, and obtaining a data analysis result corresponding to the vehicle-ground communication full-link data information.

In the previous example, a priority corresponding to each interpretable rule in the interpretable reasoning rule library can be obtained. It is assumed that there are four interpretable rules in the interpretable reasoning rule base (i.e. preconditions for the interpretable rules are satisfied, corresponding results can be matched). The four interpretable rules are respectively: interpretable rule 1 (priority first, satisfying E3 and E4, then M3) can be obtained; interpretable rule 2 (priority second, M2 can be obtained if E5 or E6 is satisfied); interpretable rule 3 (priority second, M1 can be obtained if E2 or M3 is satisfied); interpretable rule 4 (priority third, H can be obtained if E1 or M2 is satisfied)

Specifically, first, the interpretable rule with the first priority is obtained as interpretable rule 1, and M3 is obtained due to the presence of E3 and E4. Further, the second interpretable rule of the priority is obtained as an interpretable rule 2 and an interpretable rule 3, and M1 can be obtained due to the existence of E2 and M3; since E5 and E6 are present, M2 can be obtained. Accordingly, the interpretable rule of the third acquisition priority is interpretable rule 4, and H can be obtained due to the presence of E1 and M2.

It will be appreciated that E3 and E4 are bottom events, E1, E2, E5, E6, M1, M2 and M3 are intermediate events, and H is a top event.

In addition, in the reasoning process, the reasoning process record table needs to be dynamically performed in real time so that the staff can clearly understand the whole reasoning process.

And S150, feeding back the data analysis result and the reasoning process record table to a user.

In this embodiment, the data analysis result and the reasoning process record table may be subjected to feedback operation, so that the user can determine the failure problem of the vehicle-to-ground communication link reflected by the vehicle-to-ground communication full-link data information or whether the equipment operation state is safe.

Correspondingly, whether the reasoning is correct or not can be verified through reasoning the process record table, or a backtracking operation is carried out.

Optionally, after the feedback operation is performed on the data analysis result and the reasoning process record table to the user, the method further includes: performing a source-down tracing reasoning operation on the data analysis result and the reasoning process record table to obtain original fault data in the vehicle-ground communication full-link data information; and carrying out feedback operation on the original fault data in the form of analysis report.

In this embodiment, a trace-down inference operation, that is, an operation of reversely analyzing original fault data, may be performed according to the data analysis result and the inference process record table, so that the fault data may be further traced or the verification process of inference may be performed.

It will be appreciated that each intermediate event is inferred from the top events, further to the course of the bottom events.

Accordingly, the feedback operation may be performed by passing the original fault data through the form of an analysis report.

According to the technical scheme, the vehicle-ground communication full-link data information is acquired; carrying out standardized processing on the vehicle-ground communication all-link data information through a preset data time slot alignment method to obtain standard vehicle-ground communication all-link data information; carrying out feature extraction on the standard train-ground communication all-link data information in parallel according to a preset data feature extraction method in a multithreading processing mode to obtain a target extracted feature set; acquiring and carrying out inference analysis on the target extraction feature set according to a pre-constructed interpretable inference rule base to obtain a data analysis result corresponding to the vehicle-ground communication full-link data information, and dynamically updating an inference process record table; and feeding back the data analysis result and the reasoning process record table to a user. The problem of low reliability caused by determining a fault analysis result through data analysis of a model is solved, the accuracy and reliability of C3 timeout analysis are improved, and the robustness of C3 timeout analysis is improved.

Example two

Fig. 2 is a schematic structural diagram of a C3 timeout analysis device based on an interpretable rule according to a second embodiment of the present invention. The C3 timeout analysis device based on the interpretable rule provided in the embodiment of the present invention may be implemented by software and/or hardware, and may be configured in a terminal device or a server to implement the C3 timeout analysis method based on the interpretable rule in the embodiment of the present invention. As shown in fig. 2, the apparatus includes: the system comprises a vehicle-ground communication full-link data information acquisition module 210, a standard vehicle-ground communication full-link data information determination module 220, a target extraction feature set determination module 230, a data analysis result determination module 240 and a feedback operation module 250.

The vehicle-ground communication all-link data information acquisition module 210 is configured to acquire vehicle-ground communication all-link data information; wherein the vehicle-to-ground communication full-link data information comprises at least one of the following: the system comprises train-ground communication signaling data information, train-ground communication service data information, train-ground communication measurement report data information, train cell switching record data information, vehicle-mounted log information and ground center equipment log information;

The standard vehicle-to-ground communication all-link data information determining module 220 is configured to perform standardized processing on the vehicle-to-ground communication all-link data information through a preset data slot alignment method to obtain standard vehicle-to-ground communication all-link data information;

The target extraction feature set determining module 230 is configured to perform feature extraction on the standard train-ground communication all-link data information in parallel according to a preset data feature extraction method in a multithreading manner to obtain a target extraction feature set;

The data analysis result determining module 240 is configured to obtain and perform inference analysis on the target extracted feature set according to a pre-constructed interpretable inference rule base, obtain a data analysis result corresponding to the vehicle-ground communication full-link data information, and dynamically update an inference process record table;

and the feedback operation module 250 is used for carrying out feedback operation on the data analysis result and the reasoning process record table to a user.

According to the technical scheme, the vehicle-ground communication full-link data information is acquired; carrying out standardized processing on the vehicle-ground communication all-link data information through a preset data time slot alignment method to obtain standard vehicle-ground communication all-link data information; carrying out feature extraction on the standard train-ground communication all-link data information in parallel according to a preset data feature extraction method in a multithreading processing mode to obtain a target extracted feature set; acquiring and carrying out inference analysis on the target extraction feature set according to a pre-constructed interpretable inference rule base to obtain a data analysis result corresponding to the vehicle-ground communication full-link data information, and dynamically updating an inference process record table; and feeding back the data analysis result and the reasoning process record table to a user. The problem of low reliability caused by determining a fault analysis result through data analysis of a model is solved, the accuracy and reliability of C3 timeout analysis are improved, and the robustness of C3 timeout analysis is improved.

Based on the above embodiments, the analysis report feedback module may be specifically configured to: after the data analysis result and the reasoning process record table are subjected to feedback operation to a user, the original fault data in the vehicle-ground communication full-link data information is obtained through performing traceable reasoning operation on the data analysis result and the reasoning process record table; and carrying out feedback operation on the original fault data in the form of analysis report.

On the basis of the above embodiments, the standard vehicle-ground communication full-link data information determining module 220 may specifically be configured to: carrying out standardization processing on the vehicle-ground communication all-link data information through a preset data time slot alignment method to obtain a vehicle-ground communication all-link data interface and a vehicle-ground communication all-link data type corresponding to the vehicle-ground communication all-link data information; and forming the standard vehicle-ground communication full-link data information according to the vehicle-ground communication full-link data interface and the vehicle-ground communication full-link data type.

On the basis of the above embodiments, the target extracted feature set determining module 230 may be specifically configured to: the method comprises the steps of obtaining the number of threads of multiple threads, and evenly distributing all-link data information of standard train-ground communication to each thread according to data types and data interfaces to obtain all-link data information of standard train-ground communication corresponding to each thread respectively; each thread performs feature extraction on the standard train-ground communication all-link data information according to the data feature extraction method in parallel in a multithreading processing mode to respectively obtain an extraction feature set corresponding to each thread; and combining the extracted feature sets corresponding to each thread respectively to obtain the target extracted feature set.

On the basis of the foregoing embodiments, the target extracted feature set determining module 230 may be further specifically configured to: judging whether data in the standard vehicle-ground communication full-link data information in each thread is available data or not according to the data characteristic extraction method; if yes, acquiring configuration file information and a feature candidate set respectively corresponding to all-link data information of all-link communication of each standard vehicle-to-ground communication, and determining the feature state of the candidate feature according to a preset feature extraction tool; wherein the characteristic state comprises at least one of: hit feature status, miss feature status, and initial feature status; and acquiring time description information corresponding to the feature state which is the hit feature state, and adding the time description information to the respective corresponding features to obtain an extracted feature set corresponding to each thread.

On the basis of the above embodiments, the data analysis result determining module 240 may specifically be configured to: acquiring the priority corresponding to each interpretable rule in the interpretable reasoning rule library; and carrying out matching reasoning analysis on the target extraction feature set according to the interpretable rule by the priority of each interpretable rule until all the multi-dimensional extraction features of the train in the target extraction feature set are traversed, so as to obtain a data analysis result corresponding to the train-ground communication full-link data information, and dynamically updating a reasoning process record table.

On the basis of the above embodiments, the data analysis result determining module 240 may be specifically further configured to: acquiring a first priority corresponding to the priority and a first interpretable rule corresponding to the first priority; judging whether the target extraction features in the target extraction feature set can be matched according to a first interpretable rule, if so, acquiring the next priority to perform matching reasoning analysis on the target extraction feature set until all the target extraction features are traversed, and obtaining a data analysis result corresponding to the vehicle-ground communication full-link data information.

The C3 timeout analysis device based on the interpretable rule provided by the embodiment of the invention can execute the C3 timeout analysis method based on the interpretable rule provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

Example III

Fig. 3 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement a third embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 3, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.

Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the C3 timeout analysis method based on interpretable rules.

In some embodiments, the C3 timeout analysis method based on interpretable rules may be implemented as a computer program, which is tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the C3 timeout analysis method described above based on the interpretable rules may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the C3 timeout analysis method based on the interpretable rules in any other suitable way (e.g., by means of firmware).

The method comprises the following steps: acquiring vehicle-ground communication full-link data information; wherein the vehicle-to-ground communication full-link data information comprises at least one of the following: the system comprises train-ground communication signaling data information, train-ground communication service data information, train-ground communication measurement report data information, train cell switching record data information, vehicle-mounted log information and ground center equipment log information; carrying out standardized processing on the vehicle-ground communication all-link data information through a preset data time slot alignment method to obtain standard vehicle-ground communication all-link data information; carrying out feature extraction on the standard train-ground communication all-link data information in parallel according to a preset data feature extraction method in a multithreading processing mode to obtain a target extracted feature set; acquiring and carrying out inference analysis on the target extraction feature set according to a pre-constructed interpretable inference rule base to obtain a data analysis result corresponding to the vehicle-ground communication full-link data information, and dynamically updating an inference process record table; and feeding back the data analysis result and the reasoning process record table to a user.

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.

The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Example IV

A fourth embodiment of the present invention also provides a computer-readable storage medium containing computer-readable instructions, which when executed by a computer processor, are configured to perform a method of C3 timeout analysis based on interpretable rules, the method comprising: acquiring vehicle-ground communication full-link data information; wherein the vehicle-to-ground communication full-link data information comprises at least one of the following: the system comprises train-ground communication signaling data information, train-ground communication service data information, train-ground communication measurement report data information, train cell switching record data information, vehicle-mounted log information and ground center equipment log information; carrying out standardized processing on the vehicle-ground communication all-link data information through a preset data time slot alignment method to obtain standard vehicle-ground communication all-link data information; carrying out feature extraction on the standard train-ground communication all-link data information in parallel according to a preset data feature extraction method in a multithreading processing mode to obtain a target extracted feature set; acquiring and carrying out inference analysis on the target extraction feature set according to a pre-constructed interpretable inference rule base to obtain a data analysis result corresponding to the vehicle-ground communication full-link data information, and dynamically updating an inference process record table; and feeding back the data analysis result and the reasoning process record table to a user.

Of course, the computer-readable storage medium provided by the embodiments of the present invention has computer-executable instructions not limited to the method operations described above, but may also perform related operations in the C3 timeout analysis method based on the interpretable rule provided by any embodiment of the present invention.

From the above description of embodiments, it will be clear to a person skilled in the art that the present invention may be implemented by means of software and necessary general purpose hardware, but of course also by means of hardware, although in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a FLASH Memory (FLASH), a hard disk, or an optical disk of a computer, etc., and include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments of the present invention.

It should be noted that, in the embodiment of the C3 timeout analysis device based on the interpretable rule, each unit and module included is only divided according to the functional logic, but not limited to the above division, so long as the corresponding function can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.

The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims (10)

1. A C3 timeout analysis method based on interpretable rules, comprising:

Acquiring vehicle-ground communication full-link data information; wherein the vehicle-to-ground communication full-link data information comprises at least one of the following: the system comprises train-ground communication signaling data information, train-ground communication service data information, train-ground communication measurement report data information, train cell switching record data information, vehicle-mounted log information and ground center equipment log information;

Carrying out standardized processing on the vehicle-ground communication all-link data information through a preset data time slot alignment method to obtain standard vehicle-ground communication all-link data information;

Carrying out feature extraction on the standard train-ground communication all-link data information in parallel according to a preset data feature extraction method in a multithreading processing mode to obtain a target extracted feature set;

acquiring and carrying out inference analysis on the target extraction feature set according to a pre-constructed interpretable inference rule base to obtain a data analysis result corresponding to the vehicle-ground communication full-link data information, and dynamically updating an inference process record table;

And feeding back the data analysis result and the reasoning process record table to a user.

2. The method of claim 1, further comprising, after said feedback operation of said data analysis result and said inference process record table to a user:

Performing a source-down tracing reasoning operation on the data analysis result and the reasoning process record table to obtain original fault data in the vehicle-ground communication full-link data information;

and carrying out feedback operation on the original fault data in the form of analysis report.

3. The method according to claim 2, wherein the normalizing the all-link data information of the vehicle-to-ground communication by a preset data slot alignment method to obtain the all-link data information of the standard vehicle-to-ground communication includes:

carrying out standardization processing on the vehicle-ground communication all-link data information through a preset data time slot alignment method to obtain a vehicle-ground communication all-link data interface and a vehicle-ground communication all-link data type corresponding to the vehicle-ground communication all-link data information;

and forming the standard vehicle-ground communication full-link data information according to the vehicle-ground communication full-link data interface and the vehicle-ground communication full-link data type.

4. The method of claim 3, wherein the performing feature extraction on the standard train-ground communication full-link data information in parallel according to a preset data feature extraction method by using a multithreading processing manner to obtain a target extracted feature set includes:

The method comprises the steps of obtaining the number of threads of multiple threads, and evenly distributing all-link data information of standard train-ground communication to each thread according to data types and data interfaces to obtain all-link data information of standard train-ground communication corresponding to each thread respectively;

Each thread performs feature extraction on the standard train-ground communication all-link data information according to the data feature extraction method in parallel in a multithreading processing mode to respectively obtain an extraction feature set corresponding to each thread;

and combining the extracted feature sets corresponding to each thread respectively to obtain the target extracted feature set.

5. The method of claim 4, wherein the feature extraction is performed on the standard train-ground communication all-link data information by each thread in parallel according to the data feature extraction method, so as to obtain the extracted feature set corresponding to each thread respectively, and the method comprises the following steps:

Judging whether data in the standard vehicle-ground communication full-link data information in each thread is available data or not according to the data characteristic extraction method;

If yes, acquiring configuration file information and a feature candidate set respectively corresponding to all-link data information of all-standard train-ground communication, and determining feature states of all candidate features according to a preset feature extraction tool;

Wherein the characteristic state comprises at least one of: hit feature status, miss feature status, and initial feature status;

and acquiring time description information corresponding to the feature state which is the hit feature state, and adding the time description information to the respective corresponding features to obtain an extracted feature set corresponding to each thread.

6. The method of claim 5, wherein the obtaining and performing inference analysis on the target extracted feature set according to a pre-constructed interpretable inference rule base to obtain a data analysis result corresponding to the vehicle-ground communication full-link data information, and dynamically updating an inference process record table, comprises:

Acquiring the priority corresponding to each interpretable rule in the interpretable reasoning rule library;

and carrying out matching reasoning analysis on the target extraction feature set according to the interpretable rule by the priority of each interpretable rule until all target extraction features in the target extraction feature set are traversed, so as to obtain a data analysis result corresponding to the vehicle-ground communication full-link data information, and dynamically updating a reasoning process record table.

7. The method according to claim 6, wherein said performing, by priority of each of the interpretable rules, a matching inference analysis on the target extracted feature set according to the interpretable rules, respectively, until all target extracted features in the target extracted feature set are traversed, to obtain a data analysis result corresponding to the vehicle-to-ground communication full-link data information, includes:

Acquiring a first priority corresponding to the priority and a first interpretable rule corresponding to the first priority;

Judging whether the target extraction features in the target extraction feature set can be matched according to a first interpretable rule, if so, acquiring the next priority to perform matching reasoning analysis on the target extraction feature set until all the target extraction features are traversed, and obtaining a data analysis result corresponding to the vehicle-ground communication full-link data information.

8. A C3 timeout analysis device based on interpretable rules, comprising:

The vehicle-ground communication all-link data information acquisition module is used for acquiring vehicle-ground communication all-link data information; wherein the vehicle-to-ground communication full-link data information comprises at least one of the following: the system comprises train-ground communication signaling data information, train-ground communication service data information, train-ground communication measurement report data information, train cell switching record data information, vehicle-mounted log information and ground center equipment log information;

The standard vehicle-to-ground communication all-link data information determining module is used for carrying out standardized processing on the vehicle-to-ground communication all-link data information through a preset data time slot alignment method to obtain standard vehicle-to-ground communication all-link data information;

The target extraction feature set determining module is used for extracting features of the standard train-ground communication all-link data information in parallel according to a preset data feature extracting method in a multithreading processing mode to obtain a target extraction feature set;

The data analysis result determining module is used for acquiring and carrying out reasoning analysis on each target extraction feature according to a pre-constructed interpretable reasoning rule base to obtain a data analysis result corresponding to the vehicle-ground communication full-link data information and dynamically updating a reasoning process record table;

And the feedback operation module is used for carrying out feedback operation on the data analysis result and the reasoning process record table to a user.

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the computer program when executed by the processor implements the interpretable rule based C3 timeout analysis method of any one of claims 1-7.

10. A computer readable storage medium storing computer instructions for causing a processor to implement the interpretable rule based C3 timeout analysis method according to any one of claims 1-7 when executed.