CN110470493B - Intelligent train equipment self-checking and state online monitoring system and method - Google Patents
Intelligent train equipment self-checking and state online monitoring system and method Download PDFInfo
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- B61L15/00—Indicators provided on the vehicle or train for signalling purposes
- B61L15/0081—On-board diagnosis or maintenance
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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Abstract
The embodiment of the invention discloses a self-checking and state on-line monitoring system and a method for intelligent train equipment, wherein the system comprises the following steps: the system comprises a vehicle-mounted data sensing layer, a vehicle-mounted control layer and a central monitoring layer; the vehicle-mounted data sensing layer is used for acquiring the equipment state to be self-checked and monitored on the intelligent train and sending the equipment state to the vehicle-mounted control layer; the vehicle-mounted control layer is used for storing and comparing the state of the equipment to obtain a comparison result and forwarding the comparison result and the equipment state to the central monitoring layer; and the central monitoring layer is used for monitoring the comparison result and the equipment state. The intelligent train maintenance monitoring system has the advantages that the equipment states of waiting for self-checking and monitoring on the intelligent train are acquired through the vehicle-mounted data sensing layer, the vehicle-mounted control layer carries out state storage and state comparison on the equipment states, the central monitoring layer monitors comparison results and the equipment states, the informatization degree of train maintenance operation can be improved, the fine management level is improved, the train fault rate is reduced, and the service level is improved.
Description
Technical Field
The invention relates to the technical field of rail transit, in particular to an intelligent train equipment self-checking and state online monitoring system and method.
Background
With the development of artificial intelligence technology, urban rail transit will gradually become intelligent and intelligent in the future. The goal of smart city rail is: the method takes the promotion of passenger service as a center, people can go to the right of way, people can enjoy the riding of the passengers, people can enjoy the right of way, high-quality service is achieved, and people are satisfied. The goal of realizing smart city rails requires more intelligent city rail equipment as a support. The intelligent degree of the train serving as core equipment in rail transit is improved as a key point for realizing the intelligence of urban rails.
At present, an intelligent train equipment self-checking and state online monitoring system is lacked, the informatization degree of train maintenance operation is low, the management level is not high, the train failure rate is high, and the service level is poor.
Disclosure of Invention
Because the existing method has the problems, the embodiment of the invention provides an intelligent train equipment self-checking and state online monitoring system and method.
In a first aspect, an embodiment of the present invention provides an intelligent train equipment self-checking and state online monitoring system, including: the system comprises a vehicle-mounted data sensing layer, a vehicle-mounted control layer and a central monitoring layer;
the vehicle-mounted data sensing layer is used for acquiring the equipment state to be self-checked and monitored on the intelligent train and sending the equipment state to the vehicle-mounted control layer;
the vehicle-mounted control layer is used for storing and comparing the state of the equipment to obtain a comparison result, and forwarding the comparison result and the equipment state to the central monitoring layer;
the central monitoring layer is used for monitoring the comparison result and the equipment state.
Optionally, the device status includes any combination of: the system comprises a vehicle-mounted signal device state, a train door state, a smoke alarm state, an in-train lighting device state, an air conditioning system state, a traction system state, a braking system state, a car lamp state, a passenger information system PIS system state and a video monitoring state.
Optionally, the vehicle-mounted control layer is configured to perform state storage and state comparison on the device state to obtain a comparison result, and specifically includes:
if the vehicle-mounted control layer judges that the equipment state of the central monitoring layer is updated, the updated equipment state is stored to the local, and the updated equipment state is compared with the normal working state of the equipment in the current train state;
if all the devices are successfully compared, the comparison result is that the train self-checking is successful, otherwise, the comparison result is that the train device is in failure;
the equipment state comprises a normal working state and an abnormal working state of the equipment.
Optionally, the vehicle-mounted control layer is further configured to record train equipment faults, and perform fault diagnosis and train operation evaluation according to the train equipment faults.
Optionally, the vehicle-mounted control layer is configured to perform state storage and state comparison on the device state to obtain a comparison result, and forward the comparison result and the device state to the central monitoring layer, and specifically includes:
the vehicle-mounted control layer is used for comparing states according to the data acquisition periods to obtain comparison results and forwarding the comparison results and the equipment states in the data acquisition periods of preset number to the central monitoring layer.
Optionally, the central monitoring layer is further configured to visualize the comparison result and the device status, and update the device status stored in the vehicle control layer of all or the designated train.
In a second aspect, an embodiment of the present invention further provides an intelligent train equipment self-checking and state online monitoring method, including:
acquiring the state of equipment to be self-checked and monitored on an intelligent train;
performing state storage and state comparison on the equipment state to obtain a comparison result;
and monitoring the comparison result and the equipment state.
Optionally, the performing state storage and state comparison on the device state to obtain a comparison result specifically includes:
if the central monitoring layer is judged to have equipment state updating, storing the updated equipment state to the local, and comparing the updated equipment state with the normal working state of the equipment in the current train state;
if all the devices are successfully compared, the comparison result is that the train self-checking is successful, otherwise, the comparison result is that the train device is in failure;
the equipment state comprises a normal working state and an abnormal working state of the equipment.
Optionally, the intelligent train equipment self-checking and state online monitoring method further includes:
and recording the train equipment faults, and performing fault diagnosis and train operation evaluation according to the train equipment faults.
Optionally, the intelligent train equipment self-checking and state online monitoring method further includes:
and visualizing the comparison result and the equipment state, and updating the equipment state stored in the vehicle-mounted control layer of all or the appointed train.
According to the technical scheme, the device state to be self-checked and monitored on the intelligent train is acquired through the vehicle-mounted data sensing layer, the vehicle-mounted control layer stores and compares the device state, and the central monitoring layer monitors the comparison result and the device state, so that the informatization degree of train maintenance operation can be improved, the fine management level is improved, the train fault rate is reduced, and the service level is improved.
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 these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an intelligent train equipment self-checking and state online monitoring system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an intelligent train equipment self-checking and state online monitoring system according to another embodiment of the present invention;
fig. 3 is a schematic flow chart of a method for self-checking and online monitoring of states of intelligent train equipment according to an embodiment of the present invention;
fig. 4 is a schematic flow chart of an intelligent train equipment self-checking and state online monitoring method according to an embodiment of the present invention.
Detailed Description
The following further describes embodiments of the present invention with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Fig. 1 shows a schematic structural diagram of an intelligent train equipment self-checking and state online monitoring system provided by this embodiment, including: a vehicle-mounted data sensing layer 101, a vehicle-mounted control layer 102 and a central monitoring layer 103.
The vehicle-mounted data sensing layer 101 is used for acquiring the equipment state to be self-checked and monitored on the intelligent train and sending the equipment state to the vehicle-mounted control layer.
The equipment state comprises a normal working state and an abnormal working state of the equipment.
The device state comprises any combination of: a vehicle-mounted signal device state, a train door state, a smoke alarm state, a vehicle interior lighting device state, an air conditioning system state, a traction system state, a brake system state, a vehicle lamp state, a PIS (passenger information system) system state, and a video monitoring state.
The vehicle-mounted control layer 102 is configured to store and compare states of the device to obtain a comparison result, and forward the comparison result and the device state to the central monitoring layer.
And the state storage is that the vehicle-mounted control layer stores a device list needing self-checking and normal working states and abnormal working states of all devices in different train states.
And the state comparison is that the vehicle-mounted control layer automatically compares the acquired equipment state with the normal working state of each equipment in the current train state according to the current state of the train.
The central monitoring layer 103 is configured to monitor the comparison result and the device status.
Specifically, the central monitoring layer visualizes the comparison result and the equipment state, so that a worker can remotely monitor the train operation through the display screen.
The equipment state of treating self-checking and monitoring on the intelligent train is gathered through on-vehicle data perception layer to this embodiment, and on-vehicle control layer carries out state storage and state to equipment state and compares, and central monitoring layer monitors comparison result and equipment state, can improve the information-based degree of train maintenance operation, improves the fine management level, reduces the train fault rate, improves service level simultaneously.
Further, on the basis of the above embodiment, the vehicle-mounted control layer 102 is configured to perform state storage and state comparison on the device state to obtain a comparison result, and specifically includes:
if the vehicle control layer 102 judges that the equipment state update exists in the central monitoring layer, the updated equipment state is stored locally, and the updated equipment state is compared with the normal working state of the equipment in the current train state.
If all the devices are successfully compared, the comparison result is that the train self-checking is successful, otherwise, the comparison result is that the train device is in failure.
The vehicle-mounted control layer 102 is further configured to record train equipment faults, and perform fault diagnosis and train operation evaluation according to the train equipment faults.
The vehicle-mounted control layer 102 is specifically configured to compare states according to data acquisition cycles to obtain comparison results, and forward the comparison results and the device states in a preset number of data acquisition cycles to the central monitoring layer.
The central monitoring layer 103 is further configured to visualize the comparison result and the device status, and update the device status stored in the vehicle control layer of all or the designated train.
The intelligent train equipment self-checking and state on-line monitoring system provided by the embodiment can improve the safety of train operation, reduce the pressure of maintainers, and improve the fine management degree of rail transit, for example, as shown in fig. 2, the intelligent train equipment self-checking and state on-line monitoring system is divided into a vehicle-mounted data sensing layer, a vehicle-mounted control layer and a central monitoring layer.
Vehicle-mounted data perception layer: and acquiring the state of equipment needing self-checking and monitoring on the train, and transmitting the acquired data to a vehicle-mounted control layer. The vehicle-mounted data sensing layer starts to work after the train is powered on.
Vehicle control layer: the functions of the vehicle-mounted control layer are state storage, state comparison, fault diagnosis and data forwarding.
Wherein, the state storage: the train control layer stores a list of devices needing self-checking on the train and normal working states and abnormal working states of the devices under different train states (the normal working states of the devices under different train states are different), the stored states can be updated remotely through the center, the train is firstly inquired whether the state data of the central monitoring layer is updated after being electrified every time, and if yes, the data is downloaded to the train control layer; if not, the state data stored in the vehicle-mounted control layer is still used as comparison basis.
And (3) state comparison: after receiving the data sent by the vehicle-mounted data sensing layer, the vehicle-mounted control layer automatically compares the acquired equipment state with the normal working state of each equipment in the current train state according to the current state of the train. If the states of all the devices are successfully compared, the self-checking of the train is successful; and if any equipment fails to compare the states, carrying out fault diagnosis on the equipment.
Fault diagnosis: the fault modes of all the devices are recorded in the vehicle-mounted control layer, and the vehicle-mounted control layer can perform preliminary fault diagnosis on the devices according to the collected data and evaluate whether the influence is generated on the train operation according to the fault types.
Data forwarding: and the vehicle-mounted control layer sends the received data to the central monitoring layer through a wireless communication private network.
The state comparison and data forwarding functions are automatically executed after the train is powered on, and the fault diagnosis is executed under the condition that the state comparison fails. And the state comparison is carried out in each data acquisition cycle, and the data forwarding function sends data which are not sent in a plurality of cycles to the central monitoring layer at one time at certain intervals.
Center monitoring layer: the central monitoring layer adopts a distributed architecture to respond to the monitoring data sending requests of a plurality of trains. After receiving the monitoring data from different trains, the central monitoring layer stores the data of different trains into the database so as to reproduce the data in the future, and meanwhile, the data with the latest time tag is updated to the data visualization part, so that a worker can remotely monitor the operation of the trains through the display screen. In addition, the central monitoring layer can also realize the data updating of the vehicle control layer of all or the appointed trains, so that the trains can be remotely downloaded from the central monitoring layer. The central monitoring layer is always in working state under normal condition.
The intelligent train equipment self-checking and state online monitoring system provided by the embodiment can convert the maintenance mode of state repair and fault repair into predicted repair, and discover hidden equipment hazards in advance; the manual maintenance operation time is reduced, and the labor cost is reduced; meanwhile, the refined and information management of the train data is realized, and the information level is improved. In addition, the train can be enabled to have 24-hour online operation conditions, the area of a vehicle section is reduced, and the construction cost is reduced; enabling the rail transit service to cover 24 hours all day; the train fault rate is reduced, the departure interval is shortened, the service level is improved, and green travel is promoted.
Fig. 3 shows a schematic flow chart of the intelligent train equipment self-checking and state online monitoring method provided in this embodiment, which includes:
s301, acquiring the state of equipment to be self-checked and monitored on the intelligent train.
S302, performing state storage and state comparison on the equipment state to obtain a comparison result.
S303, monitoring the comparison result and the equipment state.
The equipment state of treating self-checking and monitoring on the intelligent train is gathered through on-vehicle data perception layer to this embodiment, and on-vehicle control layer carries out state storage and state to equipment state and compares, and central monitoring layer monitors comparison result and equipment state, can improve the information-based degree of train maintenance operation, improves the fine management level, reduces the train fault rate, improves service level simultaneously.
Further, on the basis of the above embodiment, the performing state storage and state comparison on the device state to obtain a comparison result specifically includes:
and if the equipment state update of the central monitoring layer is judged, storing the updated equipment state to the local, and comparing the updated equipment state with the normal working state of the equipment in the current train state.
If all the devices are successfully compared, the comparison result is that the train self-checking is successful, otherwise, the comparison result is that the train device is in failure.
The equipment state comprises a normal working state and an abnormal working state of the equipment.
Further, on the basis of the above embodiment, the intelligent train equipment self-checking and state online monitoring method further includes:
and recording the train equipment faults, and performing fault diagnosis and train operation evaluation according to the train equipment faults.
Further, on the basis of the above embodiment, the intelligent train equipment self-checking and state online monitoring method further includes:
and visualizing the comparison result and the equipment state, and updating the equipment state stored in the vehicle-mounted control layer of all or the appointed train.
Specifically, as shown in fig. 4, a flow diagram of a specific method for self-checking and online monitoring of intelligent train equipment is shown, after a train is powered on, a vehicle-mounted data sensing layer starts to work, collects the state of equipment needing self-checking and monitoring on the train, and sends collected data to a vehicle-mounted control layer; the vehicle-mounted control layer inquires data to update and compares the states, if the data is faulty, fault diagnosis is carried out, and the fault data is forwarded to the central monitoring layer; if no fault exists, the comparison result is directly forwarded to the central monitoring layer.
The method for self-checking and online monitoring of the state of the intelligent train equipment can be used for executing the system embodiment, the principle and the technical effect are similar, and details are not repeated here.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
It should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (7)
1. The utility model provides an intelligence train equipment self-checking and state on-line monitoring system which characterized in that includes: the system comprises a vehicle-mounted data sensing layer, a vehicle-mounted control layer and a central monitoring layer;
the vehicle-mounted data sensing layer is used for acquiring the equipment state to be self-checked and monitored on the intelligent train and sending the equipment state to the vehicle-mounted control layer;
the vehicle-mounted control layer is used for storing and comparing the state of the equipment to obtain a comparison result, and forwarding the comparison result and the equipment state to the central monitoring layer;
the central monitoring layer is used for monitoring the comparison result and the equipment state;
the vehicle-mounted control layer is used for storing the state of the equipment and comparing the state of the equipment to obtain a comparison result, and the method specifically comprises the following steps:
if the vehicle-mounted control layer judges that the central monitoring layer has equipment state updating, the updated equipment state is stored to the local, and the updated normal working state of each piece of equipment is compared with the acquired equipment state;
if all the devices are successfully compared, the comparison result is that the train self-checking is successful, otherwise, the comparison result is that the train device is in failure;
the equipment state comprises an equipment normal working state and an equipment abnormal working state;
the vehicle-mounted control layer is used for storing and comparing the state of the equipment to obtain a comparison result, and forwarding the comparison result and the equipment state to the central monitoring layer, and the vehicle-mounted control layer specifically comprises:
the vehicle-mounted control layer is used for comparing states according to the data acquisition periods to obtain comparison results and forwarding the comparison results and the equipment states in the data acquisition periods of preset number to the central monitoring layer.
2. The intelligent train equipment self-checking and on-line status monitoring system according to claim 1, wherein the equipment status comprises any combination of: the system comprises a vehicle-mounted signal device state, a train door state, a smoke alarm state, an in-train lighting device state, an air conditioning system state, a traction system state, a braking system state, a car lamp state, a passenger information system PIS system state and a video monitoring state.
3. The intelligent train equipment self-checking and state online monitoring system according to claim 1, wherein the vehicle control layer is further configured to record train equipment faults, and perform fault diagnosis and train operation evaluation according to the train equipment faults.
4. The intelligent train equipment self-checking and state online monitoring system according to claim 1, wherein the central monitoring layer is further configured to visualize the comparison result and the equipment state, and update the equipment state stored in the onboard control layer of all or a designated train.
5. An intelligent train equipment self-checking and state online monitoring method is characterized by comprising the following steps:
acquiring the state of equipment to be self-checked and monitored on an intelligent train;
performing state storage and state comparison on the equipment state to obtain a comparison result;
monitoring the comparison result and the equipment state;
the method comprises the following steps of performing state storage and state comparison on the equipment state to obtain a comparison result, and specifically comprises the following steps:
if the vehicle-mounted control layer judges that the central monitoring layer has equipment state updating, the updated equipment state is stored to the local, and the updated normal working state of each piece of equipment is compared with the acquired equipment state;
if all the devices are successfully compared, the comparison result is that the train self-checking is successful, otherwise, the comparison result is that the train device is in failure;
the equipment state comprises an equipment normal working state and an equipment abnormal working state;
storing the state of the equipment and comparing the state of the equipment to obtain a comparison result, and forwarding the comparison result and the equipment state to the central monitoring layer, wherein the method specifically comprises the following steps:
the vehicle-mounted control layer is used for comparing states according to the data acquisition periods to obtain comparison results and forwarding the comparison results and the equipment states in the data acquisition periods of preset number to the central monitoring layer.
6. The intelligent train equipment self-checking and state online monitoring method according to claim 5, further comprising:
and recording the train equipment faults, and performing fault diagnosis and train operation evaluation according to the train equipment faults.
7. The intelligent train equipment self-checking and state online monitoring method according to claim 5, further comprising:
and visualizing the comparison result and the equipment state, and updating the equipment state stored in the vehicle-mounted control layer of all or the appointed train.
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| CN110920674A (en) * | 2019-12-13 | 2020-03-27 | 福开尔（西安）电气有限公司 | Train equipment running state monitoring system and monitoring method thereof |
| CN114559986B (en) * | 2020-11-27 | 2023-10-17 | 比亚迪股份有限公司 | Train running state display method and passenger information system |
| GB2613384A (en) * | 2021-12-02 | 2023-06-07 | Hitachi Rail Ltd | Train management system |
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