Tram status monitoring method, device, equipment and medium based on 5G

Abstract

The present invention relates to a 5G-based tram status monitoring method, device, equipment and medium, the method monitors trams by collecting on-board logs in real time through 5G communication protocol, wherein the monitoring information includes tram status statistics and fault information, the tram status statistics include tram schedule information, tram time information, tram position and speed, front and rear tram positions, front signal and route status information, tram location and front speed limit information, tram detention information and tram skipping information, wherein tram fault information includes tram degradation status information and train positioning inaccurate information. Compared with the prior art, the present invention has the advantages of real-time display of train status statistics and fault information.

Description

Technical Field

[0001] The present invention relates to a method for monitoring the state of a tram train, and in particular to a method, device, equipment and medium for monitoring the state of a tram train based on 5G. Background Art

[0002] Modern trams, as a medium-capacity transportation mode, are characterized by high efficiency and environmental protection. At the same time, with the transformation of domestic networks from 4G to 5G communication methods, tram products are constantly adapting to new technologies and developing in the direction of automation and intelligence in line with the trend of the times.

[0003] At present, in the tram maintenance stage, making good use of log records is one of the important ways to achieve intelligence. If it is necessary to monitor the tram train status log in real time, the following problems will be faced:

[0004] 1) Due to the small bandwidth of the communication network between the tram and the operation and maintenance center, the onboard logs cannot be transmitted to the operation and maintenance center in real time during the operation of the tram.

[0005] 2) After the tram returns to the depot, the onboard logs need to be manually downloaded from the onboard equipment by maintenance personnel, and independent software is required for downloading, which is a complicated process.

[0006] 3) Since a large amount of statistical information and fault information in the vehicle logs have not been mined and analyzed, many recurring fault problems require R&D personnel to manually check the logs and participate in the analysis, and cannot be quickly located and solved by operation and maintenance personnel in the first time.

[0007] 4) When the tram is running, due to the lack of train status log display software, the operation and maintenance center personnel are unable to understand the tram status in real time and verify the fault problem.

[0008] After searching, Chinese patent publication number CN111611219A discloses a system and method for intelligent analysis of tram logs, which specifically discloses an input layer, a data analysis layer and an output layer; the input layer includes several data collection terminals for inputting various types of log data, the data analysis layer includes a database for receiving various types of log data input collected by the data collection terminal and classifying and storing the input various types of log data, and a client for retrieving various types of log data from the database for analysis and entering result table data into the database; the output layer includes a display terminal connected to the database data for displaying the analysis results, which can accurately locate the problems of the tram signal system, thereby greatly improving the efficiency of intelligent analysis of tram logs. However, the existing patent only analyzes offline logs, and cannot realize real-time online log analysis, so it is impossible to carry out real-time monitoring of trams. Summary of the invention

[0009] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and provide a 5G-based tram status monitoring method, device, equipment and medium, so as to display train status statistical information and fault information in real time.

[0010] The purpose of the present invention can be achieved by the following technical solutions:

[0011] According to a first aspect of the present invention, a 5G-based tram train status monitoring method is provided, which monitors trams by collecting on-board logs in real time through a 5G communication protocol, wherein the monitoring information includes tram status statistics and fault information, and the tram status statistics include tram plan information, tram time information, tram position and speed, front and rear tram positions, front signal and route status information, tram location and front speed limit information, tram detention information and tram skipping information, wherein the tram fault information includes tram degradation status information and train inaccurate positioning information.

[0012] As a preferred technical solution, the method specifically comprises the following steps:

[0013] Step S101, during the running of the tram, the on-board log real-time transmission module based on the 5G protocol wirelessly transmits the on-board log to the operation and maintenance center workstation through the 5G communication protocol;

[0014] Step S102, the vehicle log collection module collects and uploads the vehicle logs on the operation and maintenance center workstation to the file server through the FTP protocol;

[0015] Step S103, the vehicle-mounted log classification and analysis module classifies, analyzes, and filters the log files on the file server, and finally inserts the analysis results into the database server;

[0016] Step S104, the result information front-end display module displays the analysis results in the database on the front-end page for operation and maintenance personnel to check the analysis results and troubleshoot.

[0017] As a preferred technical solution, the onboard log in step S101 generates a file every hour, and the content includes tram status statistics and fault information.

[0018] As a preferred technical solution, the specific implementation process of the vehicle log collection module in step S102 is as follows:

[0019] Step S102a, traverse the vehicle log folder on the operation and maintenance center workstation, set the record file in the software at the same time, compare the contents of the two files, and write the uncollected log name and modification time into the record file;

[0020] Step S102b, uploading the log files that are no longer modified every half hour to the file server via the FTP protocol.

[0021] As a preferred technical solution, step S103 specifically includes the following steps:

[0022] Step S103a, filtering the on-board statistical information: obtaining tram schedule information, tram time information, speed, location of the tram ahead and behind, ahead signal and route status information, tram location and ahead speed limit information, tram detention information and tram skipping information, sorting, classifying, inserting into the database, and accessing at any time;

[0023] Step S103b, calculating the tram displacement information according to the tram time information and speed information in the statistical information;

[0024] Step S103c, filtering the tram degradation status information and displaying it on the front end;

[0025] Step S103d, filter and analyze the train positioning inaccuracy information, locate the specific faulty equipment, and display it on the front end.

[0026] As a preferred technical solution, the specific calculation of the tram displacement information in step S103b is as follows:

[0027] The tram vehicle uses a speed sensor to record the tram speed V. The displacement S(t) of the tram can be calculated by integrating the speed during the communication time, as shown in the following formula:

[0028]

[0029] Where: S(t) is the current positioning position, S 0 is the vehicle position at the previous moment; V(t) is the instantaneous speed at the current moment; t is the elapsed time;

[0030] Since the communication cycle between the tram and the speed sensor is generally within 500ms, it is assumed that the speed changes evenly during this period, and formula (1) can be transformed into formula (2);

[0031]

[0032] Where, t N is the time elapsed during N cycles; V N and V N-1 are the initial velocity and final velocity in the period respectively; Δt is the communication period.

[0033] As a preferred technical solution, the fault causes causing the tram degradation state in S103c are divided into on-board downtime fault and on-board ATP removal fault, and the judgment result is pushed to the front-end display interface.

[0034] As a preferred technical solution, the specific steps of screening and analyzing the causes of inaccurate faults in step S103d are as follows:

[0035] a) Determine whether a fault alarm of a tram speed sensor is received. If a speed sensor alarm is received, push the fault information to the front-end display interface;

[0036] b) Determine whether the vehicle beacon has been missed, and further determine whether multiple beacons have been missed. If it is a single alarm message, push the vehicle beacon fault to the front-end display interface;

[0037] c) If multiple beacons are missed, calculate the tram travel displacement S based on the time and speed in the statistical information 1 , according to the onboard beacon position S recorded in the tram layout 2 , judge ΔS=S 2 -S 1 Is it within the allowed range? If so, push the antenna fault information to the front-end display interface; if not, push the positioning error excessive alarm information to the front-end display interface.

[0038] As a preferred technical solution, the specific faulty devices in step S103d include speed sensor failure, vehicle beacon missed reading failure and vehicle antenna failure.

[0039] According to a second aspect of the present invention, there is provided a device for the 5G-based tram train state monitoring method, comprising:

[0040] The real-time vehicle log transmission module based on the 5G protocol is used to wirelessly transmit the vehicle log to the operation and maintenance center workstation;

[0041] The vehicle log collection module is used to collect and upload the vehicle logs on the operation and maintenance center workstation to the file server through the FTP protocol;

[0042] The vehicle log classification and analysis module is used to classify, analyze and filter the log files on the file server, and finally insert the analysis results into the database server;

[0043] The result information front-end display module is used to display the analysis results in the database on the front-end page for operation and maintenance personnel to check the analysis results and troubleshoot.

[0044] 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.

[0045] 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.

[0046] Compared with the prior art, the present invention has the following advantages:

[0047] 1) Due to the use of 5G communication, during driving, the tram can transmit the on-board log to the operation and maintenance center. The two-dimensional statistics of statistical information and fault information can effectively monitor the status of the tram train.

[0048] 2) Propose a method to determine the cause of tram degradation and effectively locate the fault as downtime or ATP removal.

[0049] 3) A method for analyzing inaccurate on-board positioning is proposed to effectively locate faulty equipment on trams with inaccurate positioning. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a diagram of the architecture of real-time log monitoring and analysis of tram status based on 5G in the present invention;

[0051] Figure 2 This is a flow chart of real-time log monitoring and analysis of tram status based on 5G in the present invention;

[0052] Figure 3 This is a flow chart of the downgrade fault analysis module of the present invention;

[0053] Figure 4 This is a flow chart of the inaccurate positioning fault analysis module of the present invention. DETAILED DESCRIPTION

[0054] 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.

[0055] like Figure 1As shown, a 5G-based tram train status monitoring method monitors the tram status through real-time collection and analysis of on-board logs, wherein the analysis direction includes tram status statistics and fault information. The tram status information includes tram schedule information, tram time information, tram position and speed, front and rear tram positions, front signal and route status information, tram location and front speed limit information, tram detention information, tram skipping information, etc. The tram fault information includes tram degradation information and train positioning inaccuracy information.

[0056] like Figure 2 As shown, the method specifically comprises the following steps:

[0057] Step S101: During the running of the tram, the tram wirelessly transmits the onboard log to the workstation of the operation and maintenance center through the 5G communication protocol.

[0058] Step S102: the log collection software collects and uploads the vehicle logs on the central workstation to the file server via the FTP protocol.

[0059] Step S103, the log analysis software classifies, analyzes, and screens the log files on the file server, and finally inserts the analysis results into the database server.

[0060] Step S104, the display software displays the analysis results in the database on the front-end page for operation and maintenance personnel to check the analysis results and troubleshoot.

[0061] The onboard log of step S101 generates a file every hour, and the content includes tram status statistics and fault information.

[0062] The function implementation of the log collection software in step S102 includes the following steps:

[0063] Step S102a, traverse the vehicle log folder on the workstation, set up a record file in the software, compare the contents of the two files, and write the uncollected log name and modification time into the record file.

[0064] Step S102b, uploading the log files that are no longer modified every half hour to the file server via the FTP protocol.

[0065] The step S103 specifically includes the following steps:

[0066] Step S103a, filter the on-board statistical information: obtain tram schedule information, tram time information, speed, location of the trams ahead and behind, ahead signal and route status information, tram location and ahead speed limit information, tram detention information, tram skipping information, etc., sort, classify, and insert them into the database for use at any time.

[0067] Step S103b, calculating the tram displacement information according to the tram time information and speed information in the statistical information.

[0068] Step S103c, filtering the tram degradation information and displaying it on the front end.

[0069] Step S103d, screen and analyze the causes of the inaccurate faults, and locate the specific equipment: speed sensor fault, vehicle beacon missed reading fault, vehicle antenna fault, and display them on the front end.

[0070] like Figure 3 As shown in the figure, the tram degradation information log analysis process is as follows:

[0071] 1) Count and parse the downtime code and ATP removal code in the vehicle log.

[0072] 2) Determine whether the tram is down. If it is down, push an alarm; otherwise, continue to determine.

[0073] 3) Determine whether the ATP is cut off for the tram. If the ATP is cut off, the result will be displayed on the front end. Otherwise, the information that the ATP is not cut off will be recorded in the log and displayed on the front end.

[0074] like Figure 4 As shown in the figure, the parsing process of the inaccurate vehicle fault location log is as follows:

[0075] 1) The speed sensor on the tram records the speed V of the tram, so the displacement S of the tram is 1 Integral calculation of speed within available communication time.

[0076] 2) Determine whether there is any fault alarm such as wear of tram speed sensor. If there is a speed sensor alarm, push the fault information to the front-end display interface.

[0077] 3) Determine whether the vehicle beacon has been missed, and further determine whether multiple beacons have been missed. If it is a single alarm message, push the vehicle beacon fault to the front-end display interface.

[0078] 4) If multiple beacons are missed, calculate the tram travel displacement S based on the time and speed in the statistical information 1 According to the location of the onboard beacon S recorded in the tram layout plan 2 . Determine ΔS=S2 -S 1 Is it within the allowed range? If it is within the allowed range, push the antenna fault information to the front-end display interface. If it is not within the allowed range, push the positioning error too large warning information to the front-end display interface.

[0079] The above is an introduction to a method embodiment. The following is a further explanation of the solution of the present invention through an apparatus embodiment.

[0080] The present invention provides a 5G-based tram train status monitoring device, comprising:

[0081] The real-time vehicle log transmission module based on the 5G protocol is used to wirelessly transmit the vehicle log to the operation and maintenance center workstation;

[0082] The vehicle log collection module is used to collect and upload the vehicle logs on the operation and maintenance center workstation to the file server through the FTP protocol;

[0083] The vehicle log classification and analysis module is used to classify, analyze and filter the log files on the file server, and finally insert the analysis results into the database server;

[0084] The result information front-end display module is used to display the analysis results in the database on the front-end page for operation and maintenance personnel to check the analysis results and troubleshoot.

[0085] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described module can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0086] 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.

[0087] 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.

[0088] The processing unit performs the various methods and processes described above, such as methods S101 to S104. For example, in some embodiments, methods S101 to S104 may 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 may be loaded and / or installed on the device via a ROM and / or a communication unit. When the computer program is loaded into the RAM and executed by the CPU, one or more steps of methods S101 to S104 described above may be performed. Alternatively, in other embodiments, the CPU may be configured to execute methods S101 to S104 in any other appropriate manner (e.g., by means of firmware).

[0089] 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.

[0090] 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.

[0091] 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.

[0092] 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 5G-based tram train status monitoring method, characterized in that: The method monitors trams by collecting on-board logs in real time through a 5G communication protocol, wherein the monitoring information includes tram status statistics and fault information, wherein the tram status statistics include tram plan information, tram time information, tram position and speed, front and rear tram positions, front signal and route status information, tram location and front speed limit information, tram detention information and tram skipping information, wherein the tram fault information includes tram degradation status information and train positioning inaccuracy information; The method specifically comprises the following steps: Step S101, during the running of the tram, the on-board log real-time transmission module based on the 5G protocol wirelessly transmits the on-board log to the operation and maintenance center workstation through the 5G communication protocol; Step S102, the vehicle log collection module collects and uploads the vehicle logs on the operation and maintenance center workstation to the file server through the FTP protocol; Step S103, the vehicle log classification and analysis module classifies, analyzes and filters the log files on the file server, and finally inserts the analysis results into the database server; Step S104, the result information front-end display module displays the analysis results in the database on the front-end page for operation and maintenance personnel to check the analysis results and troubleshoot; The step S103 specifically includes the following steps: Step S103a, filtering the on-board statistical information: obtaining tram schedule information, tram time information, speed, location of the tram ahead and behind, ahead signal and route status information, tram location and ahead speed limit information, tram detention information and tram skipping information, sorting, classifying, inserting into the database, and accessing at any time; Step S103b, calculating the tram displacement information according to the tram time information and speed information in the statistical information; Step S103c, filtering the tram degradation status information and displaying it on the front end; Step S103d, filter and analyze the train positioning inaccuracy information, locate the specific faulty equipment, and display it on the front end.

2. According to a 5G-based tram train status monitoring method according to claim 1, it is characterized in that: The onboard log in step S101 generates a file every hour, and the content includes tram status statistics and fault information.

3. According to a 5G-based tram train status monitoring method according to claim 1, it is characterized in that: The specific implementation process of the vehicle log collection module in step S102 is as follows: Step S102a, traverse the vehicle log folder on the operation and maintenance center workstation, set the record file in the software at the same time, compare the contents of the two files, and write the uncollected log name and modification time into the record file; Step S102b, uploading the log files that are no longer modified every half hour to the file server via the FTP protocol.

4. The 5G-based tram train status monitoring method according to claim 1 is characterized in that: The specific calculation of the tram displacement information in step S103b is as follows: The tram vehicle uses a speed sensor to record the tram speed V. The displacement S(t) of the tram can be calculated by integrating the speed during the communication time, as shown in the following formula: Where: S(t) is the current positioning position, S0 is the vehicle position at the previous moment; V(t) is the instantaneous speed at the current moment; t is the elapsed time; Since the communication cycle between the tram and the speed sensor is generally within 500ms, it is assumed that the speed changes evenly during this period, and formula (1) can be transformed into formula (2); Where, t N is the time elapsed during N cycles; V N and V N-1 are the initial velocity and final velocity in the period respectively; Δt is the communication period.

5. The 5G-based tram train status monitoring method according to claim 1 is characterized in that: The fault causes causing the tram degradation state in S103c are divided into on-board downtime fault and on-board ATP removal fault, and the judgment result is pushed to the front-end display interface.

6. A 5G-based tram train status monitoring method according to claim 1, characterized in that: The specific steps of screening and analyzing the causes of the inaccurate fault in step S103d are as follows: a) Determine whether a fault alarm of a tram speed sensor is received. If a speed sensor alarm is received, push the fault information to the front-end display interface; b) Determine whether the vehicle beacon has been missed, and further determine whether multiple beacons have been missed. If it is a single alarm message, push the vehicle beacon fault to the front-end display interface; c) If multiple beacons are missed, the tram travel displacement S1 is calculated according to the time and speed in the statistical information, and the on-board beacon position S2 recorded in the tram plan is determined to determine whether ΔS=S2-S1 is within the allowable range. If it is within the allowable range, the antenna fault information is pushed to the front-end display interface; If it is not within the allowable range, an excessive positioning error warning message will be pushed to the front-end display interface.

7. The 5G-based tram train status monitoring method according to claim 1 is characterized in that: The specific faulty devices in step S103d include speed sensor failure, vehicle beacon missed reading failure and vehicle antenna failure.

8. A device for the 5G-based tram train status monitoring method according to any one of claims 1 to 7, characterized in that: include: The real-time vehicle log transmission module based on the 5G protocol is used to wirelessly transmit the vehicle log to the operation and maintenance center workstation; The vehicle log collection module is used to collect and upload the vehicle logs on the operation and maintenance center workstation to the file server through the FTP protocol; The vehicle log classification and analysis module is used to classify, analyze and filter the log files on the file server, and finally insert the analysis results into the database server; The result information front-end display module is used to display the analysis results in the database on the front-end page for operation and maintenance personnel to check the analysis results and troubleshoot.

9. 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 7 is implemented.

10. 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 7 is implemented.

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