CN113460126A - Intelligent fault processing method and system for railway train - Google Patents
Intelligent fault processing method and system for railway train Download PDFInfo
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- CN113460126A CN113460126A CN202110746819.2A CN202110746819A CN113460126A CN 113460126 A CN113460126 A CN 113460126A CN 202110746819 A CN202110746819 A CN 202110746819A CN 113460126 A CN113460126 A CN 113460126A
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Abstract
The invention discloses a railway train intelligent fault processing method and a system, wherein the method comprises the following steps: acquiring state data and operation parameters of a railway train; processing the state data and the operation parameters to generate early warning information of the railway train; transmitting the early warning information to a railway train cloud platform; transmitting the early warning information to a fog platform through a railway train cloud platform; and sending a corresponding fault processing task to the train inspection terminal through the fog platform according to the received early warning information. The invention can remotely monitor the railway train in real time, can rapidly acquire the fault information of the railway train when the railway train has a fault, can take counter measures in sufficient time, and can process the fault in time, thereby effectively improving the fault processing efficiency of the railway train and greatly ensuring the safety and the stability of the operation of the railway train.
Description
Technical Field
The invention relates to the technical field of railway trains, in particular to an intelligent fault processing method and system for a railway train.
Background
In order to ensure the driving safety of the railway freight train, train inspection and fault treatment are required to be carried out on the freight train in the running process of the freight train. At present, the train inspection process of the railway freight train is mainly characterized in that operators on duty at the railway train inspection station inform and distribute train inspection information to corresponding maintainers of each team through an intercom device, the train inspection process is complicated and low in flexibility, and the problems that the operators on duty are large in workload, train inspection tasks cannot be distributed in time, faults cannot be processed in time and the like are easily caused.
Therefore, how to effectively improve the fault processing efficiency of the railway train is an urgent problem to be solved.
Disclosure of Invention
In view of this, the invention provides an intelligent fault handling method for a railway train, which can monitor and judge faults of the railway train in real time, and further can handle the faults in time, thereby effectively improving the fault handling efficiency of the railway train.
The invention provides an intelligent fault processing method for a railway train, which comprises the following steps:
acquiring state data and operation parameters of a railway train;
processing the state data and the operation parameters to generate early warning information of the railway train;
transmitting the early warning information to a railway train cloud platform;
transmitting the early warning information to a fog platform through the railway train cloud platform;
and sending a corresponding fault processing task to a train inspection terminal through the fog platform according to the received early warning information.
Preferably, the mist platform comprises: section fog platform and row fog platform, through railway train cloud platform will early warning information transmission to fog platform includes:
transmitting the early warning information to a corresponding section fog platform through the railway train cloud platform;
transmitting the early warning information to a fog arrangement platform through the fog section platform;
correspondingly, the corresponding fault processing task is sent to the train inspection terminal through the fog platform according to the received early warning information, and the fault processing task comprises the following steps:
and sending a corresponding fault processing task to a train inspection terminal through the train fog platform according to the received early warning information.
Preferably, the method further comprises:
and feeding back a fault processing result electronic form to the column fog platform through the column inspection terminal.
Preferably, the acquiring of the state data and the operation parameters of the railway train comprises:
and acquiring the state data and the operation parameters of the railway train through various vehicle-mounted sensing units arranged on the railway train.
Preferably, the transmitting the early warning information to the railway train cloud platform at least includes one of the following implementation manners:
transmitting the early warning information to a railway train cloud platform through a mobile communication network;
transmitting the early warning information to a railway train cloud platform through a GPS;
and transmitting the early warning information to a railway train cloud platform through a Beidou satellite navigation system.
A railway train intelligent fault handling system comprising: the system comprises a fault monitoring system, a railway train cloud platform, a fog platform and a train inspection terminal, wherein the fault monitoring system, the railway train cloud platform, the fog platform and the train inspection terminal are installed on a railway train; wherein:
the fault monitoring system is used for acquiring state data and operation parameters of the railway train;
the fault monitoring system is also used for processing the state data and the operation parameters to generate early warning information of the railway train;
the fault monitoring system is also used for transmitting the early warning information to a railway train cloud platform;
the railway train cloud platform is used for transmitting the early warning information to a fog platform;
and the fog platform is used for sending a corresponding fault processing task to the train inspection terminal according to the received early warning information.
Preferably, the mist platform comprises: section fog platform and row fog platform, wherein:
the railway train cloud platform is specifically used for transmitting the early warning information to a corresponding section fog platform;
the section fog platform is used for transmitting the early warning information to the row fog platform;
and the column fog platform is used for sending a corresponding fault processing task to the column inspection terminal according to the received early warning information.
Preferably, the column inspection terminal is configured to feed back the fault processing result electronic form to the column fog platform.
Preferably, the fault monitoring system comprises: various vehicle-mounted sensing units mounted on the railway train, wherein:
the various vehicle-mounted sensing units are used for acquiring state data and operation parameters of the railway train.
Preferably, the fault monitoring system comprises at least one of:
the mobile communication module is used for transmitting the early warning information to a railway train cloud platform through a mobile communication network;
the GPS is used for transmitting the early warning information to a railway train cloud platform;
and the Beidou satellite navigation system is used for transmitting the early warning information to a railway train cloud platform.
In summary, the invention discloses an intelligent fault handling method for a railway train, which comprises the steps of firstly collecting state data and operation parameters of the railway train, and then processing the state data and the operation parameters to generate early warning information of the railway train; transmitting the early warning information to a railway train cloud platform; transmitting the early warning information to a fog platform through a railway train cloud platform; and sending a corresponding fault processing task to the train inspection terminal through the fog platform according to the received early warning information. The invention can remotely monitor the railway train in real time, can rapidly acquire the fault information of the railway train when the railway train has a fault, can take counter measures in sufficient time, and can process the fault in time, thereby effectively improving the fault processing efficiency of the railway train and greatly ensuring the safety and the stability of the operation of the railway train.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method of an embodiment 1 of the intelligent fault handling method for a railway train according to the present invention;
FIG. 2 is a flow chart of a method of an embodiment 2 of the intelligent fault handling method for a railway train according to the present disclosure;
FIG. 3 is a flowchart of a method of an embodiment 3 of the intelligent fault handling method for a railroad train according to the present disclosure;
FIG. 4 is a schematic structural diagram of an embodiment 1 of the intelligent fault handling system for a railway train according to the present disclosure;
FIG. 5 is a schematic structural diagram of an embodiment 2 of the intelligent fault handling system for a railway train according to the present invention;
fig. 6 is a schematic structural diagram of an embodiment 3 of the intelligent fault handling system for a railway train according to the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, which is a flowchart of an embodiment 1 of the intelligent fault handling method for a railway train according to the present invention, the method may include the following steps:
s101, acquiring state data and operation parameters of a railway train;
in the running process of the railway train, the railway train is monitored in real time, and state data and running parameters of the railway train in the running process are collected. Wherein the state data of the railroad train may include: the braking state of the railway train, the current temperature state of the bogie bearing, the opening and closing state of the door, and the like. The operating parameters of the railroad train may include: the system comprises a car body, a car coupler, a car door, a railway train, an electronic map, a car body, a car door, a car body, a car coupler, a car door, a car body, a car door, a car body, a car door, a car body and a car body, a car body.
S102, processing the state data and the operation parameters to generate early warning information of the railway train;
and after the state data and the operation parameters of the railway train are acquired, further processing the acquired state data and the operation parameters. For example, the collected state data and the collected operation parameters are compared with a preset threshold value, or the collected state data and the collected operation parameters are substituted into a mathematical model, the calculated data is compared with the preset data, and the early warning information of the railway train is generated according to the comparison result. The fault monitoring of the railway train in real time is realized. The early warning information comprises position parameters of the railway train on the electronic map.
S103, transmitting the early warning information to a railway train cloud platform;
and after the early warning information of the railway train is generated, transmitting the early warning information of the railway train to a railway train cloud platform in real time.
S104, transmitting the early warning information to a corresponding fog platform through a railway train cloud platform;
after the railway train cloud platform receives the early warning information of the railway train, the position of the railway train can be determined according to the position parameters of the railway train on the electronic map in the received early warning information of the railway train, a station in front closest to the railway train can be further determined according to the determined position of the railway train, and then the early warning information of the railway train is transmitted to the fog platform corresponding to the station closest to the railway train according to the determined station closest to the railway train.
After the fog platform receives the early warning information of the railway train, the received early warning information of the railway train can be further displayed, and train inspection management personnel can check the early warning information of the railway train pushed in real time through the fog platform.
And S105, sending a corresponding fault processing task to the train inspection terminal through the fog platform according to the received early warning information.
Through the early warning message of the railway train pushed by the train platform in real time, before the railway train arrives at a station, train inspection management personnel can determine a countermeasure, then send a fault processing task to a train inspection terminal of the corresponding train inspection personnel through the fog platform, and the train inspection personnel can timely process the fault of the railway train according to the fault processing task received by the train inspection terminal.
In summary, in the above embodiment, when the intelligent fault processing needs to be performed on the railway train, the state data and the operation parameters of the railway train are collected first, and then the state data and the operation parameters are processed to generate the early warning information of the railway train; transmitting the early warning information to a railway train cloud platform; transmitting the early warning information to a fog platform through a railway train cloud platform; and sending a corresponding fault processing task to the train inspection terminal through the fog platform according to the received early warning information. By monitoring the railway train in a remote and real-time manner, when the railway train breaks down, the fault information of the railway train can be rapidly acquired, so that sufficient time can be provided for taking countermeasures, and the fault can be timely processed, so that the fault processing efficiency of the railway train is effectively improved, and the safety and the stability of the running of the railway train are greatly ensured.
As shown in fig. 2, which is a flowchart of an embodiment 2 of the intelligent fault handling method for a railway train according to the present invention, the method may include the following steps:
s201, acquiring state data and operation parameters of a railway train;
in the running process of the railway train, the railway train is monitored in real time, and state data and running parameters of the railway train in the running process are collected. Wherein the state data of the railroad train may include: the braking state of the railway train, the current temperature state of the bogie bearing, the opening and closing state of the door, and the like. The operating parameters of the railroad train may include: the system comprises a car body, a car coupler, a car door, a railway train, an electronic map, a car body, a car door, a car body, a car coupler, a car door, a car body, a car door, a car body, a car door, a car body and a car body, a car body.
S202, processing the state data and the operation parameters to generate early warning information of the railway train;
and after the state data and the operation parameters of the railway train are acquired, further processing the acquired state data and the operation parameters. For example, the collected state data and the collected operation parameters are compared with a preset threshold value, or the collected state data and the collected operation parameters are substituted into a mathematical model, the calculated data is compared with the preset data, and the early warning information of the railway train is generated according to the comparison result. The fault monitoring of the railway train in real time is realized. The early warning information comprises position parameters of the railway train on the electronic map.
S203, transmitting the early warning information to a railway train cloud platform;
and after the early warning information of the railway train is generated, transmitting the early warning information of the railway train to a railway train cloud platform in real time.
S204, transmitting the early warning information to a corresponding section fog platform through the railway train cloud platform;
after the railway train cloud platform receives the early warning information of the railway train, the position of the railway train can be determined according to the position parameters of the railway train on the electronic map in the received early warning information of the railway train, a station in front closest to the railway train can be further determined according to the determined position of the railway train, and then the early warning information of the railway train is transmitted to a section fog platform corresponding to the station closest to the railway train according to the determined station closest to the railway train.
S205, transmitting the early warning information to a fog-arranging platform through a section fog platform;
and after receiving the early warning information of the railway train, the section fog platform further transmits the received early warning information of the railway train to a train fog platform corresponding to a station closest to the railway train. After the train fog platform receives the early warning information of the railway train, the received early warning information of the railway train can be further displayed, and train inspection management personnel can check the early warning information of the railway train pushed in real time through the train fog platform.
And S206, sending a corresponding fault processing task to the train inspection terminal through the train fog platform according to the received early warning information.
The train inspection management personnel can determine the corresponding measures through the early warning message of the railway train pushed by the train fog platform in real time before the railway train arrives at the station, then send the fault processing tasks to the train inspection terminals of the corresponding train inspection personnel through the train fog platform, and the train inspection personnel can timely process the faults of the railway train according to the fault processing tasks received by the train inspection terminals.
In summary, this embodiment can specifically transmit the early warning information to the section fog platform through the railway train cloud platform, and then transmit the received early warning information to the row fog platform through the section fog platform, and then send the corresponding fault handling task to the row inspection terminal according to the received early warning information through the row fog platform.
As shown in fig. 3, which is a flowchart of embodiment 3 of the intelligent fault handling method for a railway train according to the present invention, the method may include the following steps:
s301, acquiring state data and operation parameters of the railway train;
in the running process of the railway train, the railway train is monitored in real time, and state data and running parameters of the railway train in the running process are collected. Wherein the state data of the railroad train may include: the braking state of the railway train, the current temperature state of the bogie bearing, the opening and closing state of the door, and the like. The operating parameters of the railroad train may include: the system comprises a car body, a car coupler, a car door, a railway train, an electronic map, a car body, a car door, a car body, a car coupler, a car door, a car body, a car door, a car body, a car door, a car body and a car body, a car body.
Specifically, the state data and the operation parameters of the railway train can be acquired through various vehicle-mounted sensing units arranged on the railway train. For example, the brake pipe pressure may be collected by the brake pipe pressure sensing unit, the brake cylinder pressure may be collected by the brake cylinder pressure sensing unit, the open/close state of the door may be collected by the door open/close state sensing unit, the longitudinal force parameter of the coupler may be collected by the coupler longitudinal force sensing unit, and the like.
S302, processing the state data and the operation parameters to generate early warning information of the railway train;
and after the state data and the operation parameters of the railway train are acquired, further processing the acquired state data and the operation parameters.
For example, the collected state data and the collected operation parameters are compared with a preset threshold value, or the collected state data and the collected operation parameters are substituted into a mathematical model, the calculated data is compared with the preset data, and the early warning information of the railway train is generated according to the comparison result. The fault monitoring of the railway train in real time is realized.
S303, transmitting the early warning information to a railway train cloud platform;
and after the early warning information of the railway train is generated, transmitting the early warning information of the railway train to a railway train cloud platform in real time.
Specifically, when the early warning information is transmitted to the railway train cloud platform, the early warning information can be transmitted to the railway train cloud platform through a 4G or 5G mobile communication network.
Specifically, when the early warning information is transmitted to the railway train cloud platform, the early warning information can be transmitted to the railway train cloud platform through a GPS or Beidou satellite navigation system.
S304, transmitting the early warning information to a corresponding section fog platform through a railway train cloud platform;
after the railway train cloud platform receives the early warning information of the railway train, the position of the railway train can be determined according to the position parameters of the railway train on the electronic map in the received early warning information of the railway train, a station in front closest to the railway train can be further determined according to the determined position of the railway train, and then the early warning information of the railway train is transmitted to a section fog platform corresponding to the station closest to the railway train according to the determined station closest to the railway train.
Specifically, when the section fog platform receives the early warning information transmitted by the railway train cloud platform, the section fog platform can receive the early warning information of the railway train sent by the railway cloud platform through an alarm processing terminal (installed in a vehicle section duty room) in the section fog platform, a section fog gateway, a section fog-cloud communication terminal and a section fog management server.
S305, transmitting the early warning information to a fog-arranging platform through a section fog platform;
and after receiving the early warning information of the railway train, the section fog platform further transmits the received early warning information of the railway train to a train fog platform corresponding to a station closest to the railway train. After the train fog platform receives the early warning information of the railway train, the received early warning information of the railway train can be further displayed, and train inspection management personnel can check the early warning information of the railway train pushed in real time through the train fog platform.
Specifically, after receiving the early warning information of the railway train sent by the railway cloud platform, the section fog platform further sends the early warning information of the railway train to a communication gateway and a train alarm and compiling and resolving terminal (installed in a train fog duty room) of the train fog platform through a railway network.
S306, sending a corresponding fault processing task to the train inspection terminal through the train fog platform according to the received early warning information;
the train inspection management personnel can determine the corresponding measures through the early warning message of the railway train pushed by the train fog platform in real time before the railway train arrives at the station, then send the fault processing tasks to the train inspection terminals of the corresponding train inspection personnel through the train fog platform, and the train inspection personnel can timely process the faults of the railway train according to the fault processing tasks received by the train inspection terminals.
And S307, feeding back a fault processing result electronic form to the column fog platform through the column inspection terminal.
After the train inspection personnel finish fault processing on the railway train, the train inspection personnel can further feed back a fault processing result electronic form of the railway train to the train fog platform through the train inspection terminal, and the train fog platform can store the received fault processing result electronic form of the railway train. Compared with the existing mode of taking a paper form as an overhaul certificate and a record basis, the method further realizes office paperless work and improves the working efficiency of train inspection.
As shown in fig. 4, a schematic structural diagram of an embodiment 1 of the intelligent fault handling system for a railway train disclosed in the present invention, the system may include: a fault monitoring system 41, a railway train cloud platform 42, a fog platform 43 and a train inspection terminal 44 which are installed on a railway train; wherein:
the fault monitoring system 41 is used for acquiring state data and operation parameters of the railway train;
in the running process of the railway train, the railway train is monitored in real time, and state data and running parameters of the railway train in the running process are collected. Wherein the state data of the railroad train may include: the braking state of the railway train, the current temperature state of the bogie bearing, the opening and closing state of the door, and the like. The operating parameters of the railroad train may include: the system comprises a car body, a car coupler, a car door, a railway train, an electronic map, a car body, a car door, a car body, a car coupler, a car door, a car body, a car door, a car body, a car door, a car body and a car body, a car body.
The fault monitoring system 41 is further configured to process the state data and the operation parameters to generate early warning information of the railway train;
and after the state data and the operation parameters of the railway train are acquired, further processing the acquired state data and the operation parameters. For example, the collected state data and the collected operation parameters are compared with a preset threshold value, or the collected state data and the collected operation parameters are substituted into a mathematical model, the calculated data is compared with the preset data, and the early warning information of the railway train is generated according to the comparison result. The fault monitoring of the railway train in real time is realized. The early warning information comprises position parameters of the railway train on the electronic map.
The fault monitoring system 41 is further used for transmitting the early warning information to the railway train cloud platform;
and after the early warning information of the railway train is generated, transmitting the early warning information of the railway train to a railway train cloud platform in real time.
The railway train cloud platform 42 is used for transmitting the early warning information to the corresponding fog platform 43;
after the railway train cloud platform receives the early warning information of the railway train, the position of the railway train can be determined according to the position parameters of the railway train on the electronic map in the received early warning information of the railway train, a station in front closest to the railway train can be further determined according to the determined position of the railway train, and then the early warning information of the railway train is transmitted to the fog platform corresponding to the station closest to the railway train according to the determined station closest to the railway train.
After the fog platform receives the early warning information of the railway train, the received early warning information of the railway train can be further displayed, and train inspection management personnel can check the early warning information of the railway train pushed in real time through the fog platform.
And the fog platform 43 is used for sending corresponding fault processing tasks to the column detection terminal 44 according to the received early warning information.
Through the early warning message of the railway train pushed by the train platform in real time, before the railway train arrives at a station, train inspection management personnel can determine a countermeasure, then send a fault processing task to a train inspection terminal of the corresponding train inspection personnel through the fog platform, and the train inspection personnel can timely process the fault of the railway train according to the fault processing task received by the train inspection terminal.
In summary, in the above embodiment, when the intelligent fault processing needs to be performed on the railway train, the state data and the operation parameters of the railway train are collected first, and then the state data and the operation parameters are processed to generate the early warning information of the railway train; transmitting the early warning information to a railway train cloud platform; transmitting the early warning information to a fog platform through a railway train cloud platform; and sending a corresponding fault processing task to the train inspection terminal through the fog platform according to the received early warning information. By monitoring the railway train in a remote and real-time manner, when the railway train breaks down, the fault information of the railway train can be rapidly acquired, so that sufficient time can be provided for taking countermeasures, and the fault can be timely processed, so that the fault processing efficiency of the railway train is effectively improved, and the safety and the stability of the running of the railway train are greatly ensured.
As shown in fig. 5, which is a schematic structural diagram of an embodiment 2 of the intelligent fault handling system for a railway train disclosed in the present invention, the system may include: the system comprises a fault monitoring system 51, a railway train cloud platform 52, a section fog platform 53, a train fog platform 54 and a train inspection terminal 55 which are installed on a railway train; wherein:
a fault monitoring system 51 for acquiring status data and operating parameters of the railway train;
in the running process of the railway train, the railway train is monitored in real time, and state data and running parameters of the railway train in the running process are collected. Wherein the state data of the railroad train may include: the braking state of the railway train, the current temperature state of the bogie bearing, the opening and closing state of the door, and the like. The operating parameters of the railroad train may include: the system comprises a car body, a car coupler, a car door, a railway train, an electronic map, a car body, a car door, a car body, a car coupler, a car door, a car body, a car door, a car body, a car door, a car body and a car body, a car body.
The fault monitoring system 51 is further configured to process the state data and the operation parameters to generate early warning information of the railway train;
and after the state data and the operation parameters of the railway train are acquired, further processing the acquired state data and the operation parameters. For example, the collected state data and the collected operation parameters are compared with a preset threshold value, or the collected state data and the collected operation parameters are substituted into a mathematical model, the calculated data is compared with the preset data, and the early warning information of the railway train is generated according to the comparison result. The fault monitoring of the railway train in real time is realized. The early warning information comprises position parameters of the railway train on the electronic map.
The fault monitoring system 51 is further configured to transmit the early warning information to the railway train cloud platform 52;
and after the early warning information of the railway train is generated, transmitting the early warning information of the railway train to a railway train cloud platform in real time.
The railway train cloud platform 52 is used for transmitting the early warning information to the corresponding section fog platform 53;
after the railway train cloud platform receives the early warning information of the railway train, the position of the railway train can be determined according to the position parameters of the railway train on the electronic map in the received early warning information of the railway train, a station in front closest to the railway train can be further determined according to the determined position of the railway train, and then the early warning information of the railway train is transmitted to a section fog platform corresponding to the station closest to the railway train according to the determined station closest to the railway train.
The section fog platform 53 is used for transmitting the early warning information to the column fog platform 54;
and after receiving the early warning information of the railway train, the section fog platform further transmits the received early warning information of the railway train to a train fog platform corresponding to a station closest to the railway train. After the train fog platform receives the early warning information of the railway train, the received early warning information of the railway train can be further displayed, and train inspection management personnel can check the early warning information of the railway train pushed in real time through the train fog platform.
And the column fog platform 54 is used for sending corresponding fault processing tasks to the column detection terminal 55 according to the received early warning information.
The train inspection management personnel can determine the corresponding measures through the early warning message of the railway train pushed by the train fog platform in real time before the railway train arrives at the station, then send the fault processing tasks to the train inspection terminals of the corresponding train inspection personnel through the train fog platform, and the train inspection personnel can timely process the faults of the railway train according to the fault processing tasks received by the train inspection terminals.
In summary, this embodiment can specifically transmit the early warning information to the section fog platform through the railway train cloud platform, and then transmit the received early warning information to the row fog platform through the section fog platform, and then send the corresponding fault handling task to the row inspection terminal according to the received early warning information through the row fog platform.
As shown in fig. 6, which is a schematic structural diagram of an embodiment 3 of the intelligent fault handling system for a railway train disclosed in the present invention, the system may include: the system comprises a fault monitoring system 61, a railway train cloud platform 62, a section fog platform 63, a train fog platform 64 and a train inspection terminal 65 which are arranged on a railway train; wherein:
the fault monitoring system 61 is used for acquiring state data and operation parameters of the railway train;
in the running process of the railway train, the railway train is monitored in real time, and state data and running parameters of the railway train in the running process are collected. Wherein the state data of the railroad train may include: the braking state of the railway train, the current temperature state of the bogie bearing, the opening and closing state of the door, and the like. The operating parameters of the railroad train may include: the system comprises a car body, a car coupler, a car door, a railway train, an electronic map, a car body, a car door, a car body, a car coupler, a car door, a car body, a car door, a car body, a car door, a car body and a car body, a car body.
Specifically, the fault monitoring system 61 includes various vehicle-mounted sensing units mounted on the railway train, and can acquire the state data and the operation parameters of the railway train through the various vehicle-mounted sensing units mounted on the railway train. For example, the brake pipe pressure may be collected by the brake pipe pressure sensing unit, the brake cylinder pressure may be collected by the brake cylinder pressure sensing unit, the open/close state of the door may be collected by the door open/close state sensing unit, the longitudinal force parameter of the coupler may be collected by the coupler longitudinal force sensing unit, and the like.
The fault monitoring system 61 is also used for processing the state data and the operation parameters to generate early warning information of the railway train;
and after the state data and the operation parameters of the railway train are acquired, further processing the acquired state data and the operation parameters.
For example, the collected state data and the collected operation parameters are compared with a preset threshold value, or the collected state data and the collected operation parameters are substituted into a mathematical model, the calculated data is compared with the preset data, and the early warning information of the railway train is generated according to the comparison result. The fault monitoring of the railway train in real time is realized.
The fault monitoring system 61 is further configured to transmit the early warning information to the railway train cloud platform 42;
and after the early warning information of the railway train is generated, transmitting the early warning information of the railway train to a railway train cloud platform in real time.
Specifically, the fault monitoring system 61 may include a mobile communication module, and when the warning information is transmitted to the railway train cloud platform, the mobile communication module may transmit the warning information to the railway train cloud platform through a 4G or 5G mobile communication network.
Specifically, the fault monitoring system 61 may include a GPS or a beidou satellite navigation system, and when transmitting the warning information to the railway train cloud platform, may also transmit the warning information to the railway train cloud platform through the GPS or the beidou satellite navigation system.
The railway train cloud platform 62 is used for transmitting the early warning information to the corresponding section fog platform 63;
after the railway train cloud platform receives the early warning information of the railway train, the position of the railway train can be determined according to the position parameters of the railway train on the electronic map in the received early warning information of the railway train, a station in front closest to the railway train can be further determined according to the determined position of the railway train, and then the early warning information of the railway train is transmitted to a section fog platform corresponding to the station closest to the railway train according to the determined station closest to the railway train.
Specifically, when the section fog platform receives the early warning information transmitted by the railway train cloud platform, the section fog platform can receive the early warning information of the railway train sent by the railway cloud platform through an alarm processing terminal (installed in a vehicle section duty room) in the section fog platform, a section fog gateway, a section fog-cloud communication terminal and a section fog management server.
The section fog platform 63 is used for transmitting the early warning information to the column fog platform 64;
and after receiving the early warning information of the railway train, the section fog platform further transmits the received early warning information of the railway train to a train fog platform corresponding to a station closest to the railway train. After the train fog platform receives the early warning information of the railway train, the received early warning information of the railway train can be further displayed, and train inspection management personnel can check the early warning information of the railway train pushed in real time through the train fog platform.
Specifically, after receiving the early warning information of the railway train sent by the railway cloud platform, the section fog platform further sends the early warning information of the railway train to a communication gateway and a train alarm and compiling and resolving terminal (installed in a train fog duty room) of the train fog platform through a railway network.
The column fog platform 64 is used for sending corresponding fault processing tasks to the column inspection terminal 65 according to the received early warning information;
the train inspection management personnel can determine the corresponding measures through the early warning message of the railway train pushed by the train fog platform in real time before the railway train arrives at the station, then send the fault processing tasks to the train inspection terminals of the corresponding train inspection personnel through the train fog platform, and the train inspection personnel can timely process the faults of the railway train according to the fault processing tasks received by the train inspection terminals.
And the train inspection terminal 65 is used for feeding back the fault processing result electronic form to the train fog platform 64.
After the train inspection personnel finish fault processing on the railway train, the train inspection personnel can further feed back a fault processing result electronic form of the railway train to the train fog platform through the train inspection terminal, and the train fog platform can store the received fault processing result electronic form of the railway train. Compared with the existing mode of taking a paper form as an overhaul certificate and a record basis, the method further realizes office paperless work and improves the working efficiency of train inspection.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An intelligent fault processing method for a railway train is characterized by comprising the following steps:
acquiring state data and operation parameters of a railway train;
processing the state data and the operation parameters to generate early warning information of the railway train;
transmitting the early warning information to a railway train cloud platform;
transmitting the early warning information to a fog platform through the railway train cloud platform;
and sending a corresponding fault processing task to a train inspection terminal through the fog platform according to the received early warning information.
2. The method of claim 1, wherein the mist platform comprises: section fog platform and row fog platform, through railway train cloud platform will early warning information transmission to fog platform includes:
transmitting the early warning information to a corresponding section fog platform through the railway train cloud platform;
transmitting the early warning information to a fog arrangement platform through the fog section platform;
correspondingly, the corresponding fault processing task is sent to the train inspection terminal through the fog platform according to the received early warning information, and the fault processing task comprises the following steps:
and sending a corresponding fault processing task to a train inspection terminal through the train fog platform according to the received early warning information.
3. The method of claim 2, further comprising:
and feeding back a fault processing result electronic form to the column fog platform through the column inspection terminal.
4. The method of any one of claims 1-3, wherein said collecting status data and operational parameters of the railroad train comprises:
and acquiring the state data and the operation parameters of the railway train through various vehicle-mounted sensing units arranged on the railway train.
5. The method of any one of claims 1-3, wherein the transmitting the early warning information to a railroad train cloud platform comprises at least one of:
transmitting the early warning information to a railway train cloud platform through a mobile communication network;
transmitting the early warning information to a railway train cloud platform through a GPS;
and transmitting the early warning information to a railway train cloud platform through a Beidou satellite navigation system.
6. A railway train intelligent fault handling system, comprising: the system comprises a fault monitoring system, a railway train cloud platform, a fog platform and a train inspection terminal, wherein the fault monitoring system, the railway train cloud platform, the fog platform and the train inspection terminal are installed on a railway train; wherein:
the fault monitoring system is used for acquiring state data and operation parameters of the railway train;
the fault monitoring system is also used for processing the state data and the operation parameters to generate early warning information of the railway train;
the fault monitoring system is also used for transmitting the early warning information to a railway train cloud platform;
the railway train cloud platform is used for transmitting the early warning information to a fog platform;
and the fog platform is used for sending a corresponding fault processing task to the train inspection terminal according to the received early warning information.
7. The system of claim 6, wherein the mist platform comprises: section fog platform and row fog platform, wherein:
the railway train cloud platform is specifically used for transmitting the early warning information to a corresponding section fog platform;
the section fog platform is used for transmitting the early warning information to the row fog platform;
and the column fog platform is used for sending a corresponding fault processing task to the column inspection terminal according to the received early warning information.
8. The system of claim 7, wherein the column check terminal is configured to feed back a fault handling result electronic form to the column fog platform.
9. The system according to any one of claims 6-8, wherein the fault monitoring system comprises: various vehicle-mounted sensing units mounted on the railway train, wherein:
the various vehicle-mounted sensing units are used for acquiring state data and operation parameters of the railway train.
10. The system according to any one of claims 6-8, wherein the fault monitoring system comprises at least one of:
the mobile communication module is used for transmitting the early warning information to a railway train cloud platform through a mobile communication network;
the GPS is used for transmitting the early warning information to a railway train cloud platform;
and the Beidou satellite navigation system is used for transmitting the early warning information to a railway train cloud platform.
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Application publication date: 20211001 |