Method and system for constructing digital case library of railway signal equipment and electronic equipment

Abstract

The invention relates to a construction method and system for a digital case library of railway signal equipment and electronic equipment, and the method comprises the following steps: constructing a case attribute set which comprises case types, case digital data and case knowledge elements; extracting case digital data from the signal centralized monitoring system; the case knowledge elements comprise case type description, case equipment type and attribute description, case-related equipment and local equipment relation description and case-related equipment attribute description. Compared with the prior art, the method has the advantages that automatic generation and convenient management of the digital case library are realized, diagnosis analysis and intelligent matching based on cases are realized, and assistance is provided for fault emergency.

Description

Technical Field

[0001] The present invention relates to the technical field of railway system automation, and in particular to a method, system and electronic equipment for constructing a digital case library of railway signal equipment. Background Art

[0002] When existing railway signal equipment fails, electrical personnel can only describe the fault phenomenon with words and pictures, and write analysis reports and handling procedures. Over time, the materials are not only easily lost, but also the historical fault cases cannot be reproduced truthfully and intuitively, and their value as cases in training, teaching, and competitions can no longer be brought into play. When a fault occurs, it is also impossible to automatically match similar historical cases and find corresponding maintenance suggestions and handling procedures for reference.

[0003] In the present invention patent, after searching, the Chinese invention patent application publication number CN117973382A discloses a method, system, equipment and medium for constructing a digital industrial production accident case library, including using a text mining word segmentation method to segment the accident report text library, and using the TF-IDF algorithm to extract feature index values ​​from the segmented accident report to generate a keyword dictionary; using the Skip-gram model to construct a word vector for the keyword dictionary, and clustering the word vectors based on an improved Gaussian mixture model, extracting the causes of accidents of similar keywords from the clustered keyword dictionary, and constructing a safety accident cause system; according to the safety accident cause system, digitizing the accident case text information, and establishing a digital accident case library. The existing patent application has the problem of establishing a case library based on the accident report text, and cannot solve the problem of establishing a case library based on the original digital data.

[0004] How to realize the automatic construction of a digital case library for railway signal equipment has become a technical problem that needs to be solved. Summary of the invention

[0005] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and to provide a method, system and electronic equipment for constructing a digital case library of railway signal equipment.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] According to one aspect of the present invention, a method for constructing a digital case library of railway signal equipment is provided, the method comprising the following steps:

[0008] Step 1, construct a case attribute set, including case type, case digital data and case knowledge element;

[0009] Step 2, extracting case digital data from the signal centralized monitoring system;

[0010] Step 3, construct case knowledge elements, including case type description, case device type and attribute description, description of the relationship between case-related devices and this device, and case-related device attribute description.

[0011] Preferably, the case attribute set also includes case occurrence time, case phenomenon description, case cause analysis and disposal process.

[0012] Preferably, the case types include turnout equipment cases, station track circuit cases, station ZPW-2000 cases, section ZPW-2000 cases, signal machine cases, station coding cases, semi-automatic cases, station connection line cases, route failure cases and power supply failure cases.

[0013] More preferably, for the in-station track circuit case, the case knowledge element includes the track circuit section type, all attribute descriptions of the track section, adjacent track sections and attribute descriptions, descriptions of the relationship between turnout sections and turnsouts, and turnout attribute descriptions.

[0014] Preferably, the case digitized data includes case device name, device attribute set, case related devices and related device attributes.

[0015] Preferably, the method of extracting case digital data includes:

[0016] 1) Automatically extract case digital data related to the case based on monitoring alarms;

[0017] 2) extract case digitized data related to the case through manual selection;

[0018] 3) Extract the collected data of the entire station according to the station where the fault case occurred.

[0019] Preferably, the method also includes digital case management, that is, storing case attribute sets, case digital data and case knowledge elements, establishing a mapping relationship between case digital data and case knowledge elements, achieving unified and centralized management of case attributes, case digital data and case knowledge elements, and realizing hierarchical authority management, rapid retrieval and global sharing of cases.

[0020] Preferably, the method also includes visually displaying the acquired digital case information, including displaying the case knowledge metadata in a graphical manner, displaying the digital data change process of the case equipment and related equipment in a curve manner, and reproducing the change process of the route in a station diagram manner.

[0021] Preferably, the method further comprises extracting knowledge based on case knowledge elements and constructing a case data knowledge graph in a graph structure manner;

[0022] The knowledge extraction includes named entity recognition, relationship extraction, event extraction and rule extraction of case knowledge elements.

[0023] Preferably, the method also includes fault diagnosis analysis, specifically: for real-time data collected on-site, it is converted into a low-dimensional vector through the TransE model, and the cosine similarity is used to sort it to obtain the most similar matching case, and the cause analysis and historical handling process of the case are automatically called up to assist in fault emergency response.

[0024] According to another aspect of the present invention, a system for a digital case library of railway signal equipment is provided, the system comprising a database, a case management server and an analysis server respectively connected to the database, and a client connected to the case management server;

[0025] The database is used to store case attribute sets, case digital data, and case knowledge elements;

[0026] The case management server is used to manage case attribute sets, case digital data, case knowledge elements, and cases in the database;

[0027] The analysis server is used for self-learning and fault diagnosis analysis of cases;

[0028] The client is used for extracting and managing case digital data, importing cases, retrieving cases and visualizing them.

[0029] Preferably, the client is integrated with the centralized signal monitoring system, or deployed separately.

[0030] According to a third aspect of the present invention, there is provided an electronic device, comprising a memory and a processor, wherein a computer program is stored in the memory, and the method described above is implemented when the processor executes the program.

[0031] According to a fourth aspect of the present invention, there is provided a computer-readable storage medium having a computer program stored thereon, wherein the program implements the method described when executed by a processor.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] 1) The present invention can realize the automatic generation and convenient management of digital cases of railway signal equipment failures by constructing a case attribute set, extracting case digital data from the signal centralized monitoring system, and constructing case knowledge elements, thereby solving the problem that cases were previously written manually in Word, and case management, retrieval and sharing could not be achieved, and data value could not be brought into play.

[0034] 2) The case digitization data of the present invention includes not only the case device attributes, but also the attributes of the case-related devices. The data of multiple devices are analyzed and associated, making the construction of digital cases more systematic and accurate.

[0035] 3) Based on digital cases, the present invention constructs a case data knowledge graph through a graph structure to achieve case-based diagnostic analysis and intelligent matching, providing help and guidance for emergency response.

[0036] 4) The present invention also considers various forms of visual display of digital cases, so that case data can be reproduced with high fidelity, the value of cases in training, teaching, and competitions can be better utilized, and the accumulation of digital assets of the electric service department can be realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A logical schematic diagram for constructing a case library in the present invention;

[0038] Figure 2 It is a structural schematic diagram of the case library system in the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0040] This embodiment relates to a method for constructing a digital case library for railway signal equipment. The method uses a centralized signal monitoring system to collect data, constructs digital cases for railway signal equipment, realizes digital preservation and high-fidelity reproduction of historical fault cases, realizes digital management and accumulation of cases, and provides assistance for training, teaching, competitions, etc.

[0041] At the same time, case knowledge elements are constructed and combined with digital case data. With the help of neural network technology, self-learning of cases and diagnosis and analysis of cases are realized. When a fault occurs, relevant historical cases are matched, maintenance suggestions and handling procedures for historical faults are provided, and emergency handling is assisted.

[0042] Through the construction of digital cases, a digital case library for the railway electrical department will be established to realize the accumulation of digital assets of signal equipment, data sharing and data value mining, and assist the electrical department in its digital transformation.

[0043] like Figure 1 ,The method includes the processes of building digital cases, managing digital ,cases, visual display of digital cases, and fault diagnosis and analysis.

[0044] The process of building a digital case includes:

[0045] Step 101, construct a case attribute set, including case type, case occurrence time, case phenomenon description, case cause analysis, disposal process, case digital data and case knowledge element.

[0046] Case types include turnout equipment cases, station track circuit cases, station ZPW-2000 cases, section ZPW-2000 cases, signal machine cases, station coding cases, semi-automatic cases, station connection line cases, route failure cases, and power supply failure cases.

[0047] The case digital data includes the real collected case equipment data. Taking the turnout equipment case as an example, the collected case digital data includes turnout input voltage, turnout positioning indication voltage, turnout reverse position indication voltage, DCJ, FCJ, 1DQJ, 1DQFJ, DBJ, FBJ, BHJ, turnout action curve, turnout gap data, turnout close contact, etc.

[0048] Step 102, extracting case digital data: the case library system is combined with the signal centralized monitoring system, and the case digital data is automatically extracted from the signal centralized monitoring system through the interface between the client and the signal centralized monitoring system.

[0049] Case digital data is used to describe the case through digital data.

[0050] The case digital data includes the case device name, device attribute set, case-related devices and related device attributes. For example, the switch quantity, state quantity, analog quantity, curve and other data of the case-related devices are extracted.

[0051] There are three different ways to extract case digitization data:

[0052] 1) Automatically extract digital data related to this case based on monitoring alarms.

[0053] 2) Manually select digital data that is relevant to this case.

[0054] 3) According to the station where the fault case occurred, support the extraction of data collected from the entire station.

[0055] Step 103, construct case knowledge elements, which include case type description, case device type and attribute description, case-related device and device relationship description, and case-related device attribute description. Different case knowledge elements are constructed according to different case types and device types. Taking the case of in-station track circuit as an example, the constructed knowledge elements include track circuit section type, all attribute descriptions of track sections, adjacent track sections and attribute descriptions, turnout section and turnout relationship description, and turnout attribute description.

[0056] After the digital case library is constructed, the method also includes digital case management, digital case visualization display and fault intelligent analysis.

[0057] Digital case management is used to store case attribute sets, case digital data and case knowledge elements, establish a mapping relationship between case digital data and case knowledge elements, and achieve unified and centralized management of case attributes, case digital data and case knowledge elements, and achieve hierarchical and layered authority management, fast retrieval and global sharing of cases. It supports fast retrieval of case names and case descriptions on the client side, and supports case editing and management with different permissions for different personnel in bureaus, sections and stations.

[0058] The visualization display of digital cases obtains case attribute descriptions, case digital data and case knowledge metadata from the case library through case retrieval, and then displays them in a visual form. Specifically, it includes: displaying case knowledge metadata in a graphical way, displaying the digital data change process of case equipment and related equipment in a curve way, reproducing the change process of the route in the form of a station diagram, and performing high-fidelity reproduction in various forms based on the case attribute description and case digital data.

[0059] Fault diagnosis analysis includes:

[0060] Knowledge extraction is performed based on case knowledge elements, including named entity recognition, relationship extraction, event extraction, and rule extraction, and a case data knowledge graph is constructed through a graph structure of nodes, edges, and attributes.

[0061] When a new case is added, information is extracted from the new case and knowledge is integrated with the established knowledge graph to achieve knowledge updating and case self-learning.

[0062] The TransE model is established to embed the high-dimensional, discrete data of the knowledge graph into a low-dimensional, continuous vector space, generate an entity-relationship embedding matrix, and represent entities and relationships as numerical vectors for calculation.

[0063] For real-time data collected on-site, the TransE model is used to convert it into a low-dimensional vector, and the cosine similarity is used to sort it to obtain the entity or relationship most similar to the given vector, so as to match the most similar case, and automatically call up the cause analysis and historical handling process of the case to assist in emergency response.

[0064] This embodiment also relates to a railway signal equipment digital case library system, such as Figure 2 , including the back-end database, case management server, analysis server and client.

[0065] The database is connected to the case management server and the analysis server respectively, and the client is connected to the case management server.

[0066] The database is used to store case attribute sets, case digital data, and case knowledge elements;

[0067] The case management server is used to manage the cases in the database, as well as the case attribute sets, case digital data, and case knowledge elements;

[0068] The analysis server is used for case self-learning and fault diagnosis analysis;

[0069] The client is used for case addition, import, case retrieval, and visual display. The client can be integrated with the centralized signal monitoring system to achieve rapid extraction and management of case data; it can also be deployed separately.

[0070] The electronic device of the present invention includes a central processing unit (CPU), which can perform various appropriate actions and processes according to computer program instructions stored in a read-only memory (ROM) or loaded from a storage unit into a random access memory (RAM). In the RAM, various programs and data required for device operation can also be stored. The CPU, ROM and RAM are connected to each other via a bus. An input / output (I / O) interface is also connected to the bus.

[0071] Multiple components in the device are connected to the I / O interface, including: input units, such as keyboards, mice, etc.; output units, such as various types of displays, speakers, etc.; storage units, such as disks, optical disks, etc.; and communication units, such as network cards, modems, wireless communication transceivers, etc. The communication unit allows the device to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunication networks.

[0072] The processing unit performs the various methods and processes described above. For example, in some embodiments, the method can be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit. In some embodiments, part or all of the computer program can be loaded and / or installed on the device via a ROM and / or a communication unit. When the computer program is loaded into RAM and executed by the CPU, one or more steps of the method described above can be performed. Alternatively, in other embodiments, the CPU can be configured to perform the method in any other appropriate manner (e.g., by means of firmware).

[0073] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0074] The program code for implementing the method of the present invention can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

[0075] In the context of the present invention, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0076] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for constructing a digital case library for railway signal equipment, characterized in that: The method comprises the following steps: Step 1, construct a case attribute set, including case type, case digital data and case knowledge element; Step 2, extracting case digital data from the signal centralized monitoring system; Step 3, construct case knowledge elements, including case type description, case device type and attribute description, description of the relationship between case-related devices and this device, and case-related device attribute description.

2. The method for constructing a digital case library of railway signal equipment according to claim 1, characterized in that: The case attribute set also includes the case occurrence time, case phenomenon description, case cause analysis and disposal process.

3. The method for constructing a digital case library of railway signal equipment according to claim 1, characterized in that: The case types described include turnout equipment cases, station track circuit cases, station ZPW-2000 cases, section ZPW-2000 cases, signal machine cases, station coding cases, semi-automatic cases, station connection line cases, route failure cases and power supply failure cases.

4. The method for constructing a digital case library of railway signal equipment according to claim 3, characterized in that: For the in-station track circuit case, the case knowledge elements include the track circuit section type, all attribute descriptions of the track section, adjacent track sections and attribute descriptions, descriptions of the relationship between the turnout section and the turnout, and turnout attribute descriptions.

5. The method for constructing a digital case library of railway signal equipment according to claim 1, characterized in that: The case digital data includes case device name, device attribute set, case related devices and related device attributes.

6. The method for constructing a digital case library of railway signal equipment according to claim 1, characterized in that: The method of extracting case digital data includes: 1) Automatically extract case digital data related to the case based on monitoring alarms; 2) extract case digitized data related to the case through manual selection; 3) Extract the collected data of the entire station according to the station where the fault case occurred.

7. The method for constructing a digital case library of railway signal equipment according to claim 1, characterized in that: The method also includes digital case management, that is, storing case attribute sets, case digital data and case knowledge elements, establishing a mapping relationship between case digital data and case knowledge elements, and realizing unified and centralized management of case attributes, case digital data and case knowledge elements, and realizing hierarchical and layered authority management, rapid retrieval and global sharing of cases.

8. The method for constructing a digital case library of railway signal equipment according to claim 1, characterized in that: The method also includes visually displaying the acquired digital case information, including displaying case knowledge metadata in a graphical manner, displaying the digital data change process of case equipment and related equipment in a curve manner, and reproducing the change process of the route in a station diagram manner.

9. The method for constructing a digital case library of railway signal equipment according to claim 1, characterized in that: The method further includes extracting knowledge based on case knowledge elements and constructing a case data knowledge graph in a graph structure manner; The knowledge extraction includes named entity recognition, relationship extraction, event extraction and rule extraction of case knowledge elements.

10. The method for constructing a digital case library of railway signal equipment according to claim 1, characterized in that: The method also includes fault diagnosis analysis, specifically: for real-time data collected on-site, it is converted into a low-dimensional vector through the TransE model, and the cosine similarity is used to sort it to obtain the most similar matching case, and the cause analysis and historical handling process of the case are automatically called up to assist in fault emergency response.

11. A system for implementing the method for constructing a railway signal equipment digital case library according to any one of claims 1 to 10, characterized in that: The system includes a database, a case management server and an analysis server respectively connected to the database, and a client connected to the case management server; The database is used to store case attribute sets, case digital data, and case knowledge elements; The case management server is used to manage case attribute sets, case digital data, case knowledge elements, and cases in the database; The analysis server is used for self-learning and fault diagnosis analysis of cases; The client is used for extracting and managing case digital data, importing cases, retrieving cases and visualizing them.

12. The system according to claim 11, characterized in that The client is integrated with the centralized signal monitoring system or deployed separately.

13. An electronic device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor executes the program, the method according to any one of claims 1 to 10 is implemented.

14. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 10 is implemented.

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