CN112874576A - Automatic train parameter adjusting method and vehicle-mounted controller - Google Patents
Automatic train parameter adjusting method and vehicle-mounted controller Download PDFInfo
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- CN112874576A CN112874576A CN201911199642.8A CN201911199642A CN112874576A CN 112874576 A CN112874576 A CN 112874576A CN 201911199642 A CN201911199642 A CN 201911199642A CN 112874576 A CN112874576 A CN 112874576A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L15/00—Indicators provided on the vehicle or vehicle train for signalling purposes ; On-board control or communication systems
- B61L15/0063—Multiple on-board control systems, e.g. "2 out of 3"-systems
Abstract
The invention provides an automatic train parameter adjusting method and a vehicle-mounted controller, wherein the automatic train parameter adjusting method comprises the following steps: obtaining train control parameters, wherein the train control parameters comprise train performance parameters and train control algorithm parameters; judging the stopping precision of the train; and storing and counting the train stopping precision and the train control parameters, and automatically adjusting the train control parameters according to the train stopping precision. The automatic train parameter adjusting method and the vehicle-mounted controller provided by the invention can automatically adjust the current abnormal train control parameters when the train cannot be precisely stopped, can save a large amount of debugging time of developers, and have high adjusting precision.
Description
Technical Field
The invention belongs to the field of rail transit, and particularly relates to an automatic train parameter adjusting method and a vehicle-mounted controller.
Background
With the development of the rail transit industry, the number of rail lines and the number of trains are gradually increased, and the control parameters of vehicles are different according to different performances of the rail lines and the trains.
The control parameter of current train is by the experimental operation data manual configuration of experimenter on the circuit of difference according to the train of difference, and the loaded down with trivial details time cycle of process is long to it is more to operate the train quantity on the circuit, and when the performance difference is great, vehicle configuration parameter need dispose respectively, leads to needing to consume a large amount of time simulation operation, statistics experimental data. Furthermore, when the vehicle performance changes due to long vehicle operation time, the developer is required to re-simulate the operation configuration parameters.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides an automatic train parameter adjusting method and a vehicle-mounted controller. According to the automatic train parameter adjusting method, when the train cannot be accurately parked, namely when the train is abnormally parked, the current train control parameters under abnormal conditions can be automatically adjusted until the train is accurately parked. By the method, a large amount of debugging time of developers can be saved, the train control parameters are not required to be manually adjusted for the purpose of retesting the abnormal condition of the train caused by some performance changes, the adjusting frequency of the method is high, the adjusting precision is high, and the method is more accurate and effective than the method that an experimenter manually modifies the parameters.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides an automatic train parameter adjusting method, including: obtaining train control parameters, wherein the train control parameters comprise train performance parameters and train control algorithm parameters; judging the stopping precision of the train; and storing and counting the train stopping precision and the train control parameters, and automatically adjusting the train control parameters according to the train stopping precision.
Therefore, according to the automatic train parameter adjusting method provided by the embodiment of the first aspect of the invention, the current train control parameters with abnormal conditions can be automatically adjusted, so that a great amount of debugging time of developers can be saved, and the adjusting precision is higher.
In some examples of the present invention, before the determining the train stopping accuracy, the method further includes: outputting a train control level according to the train control parameters; and controlling the train to run and stop according to the train control level.
In some examples of the present invention, the determining the train stop accuracy includes: when the distance between the train stopping point and the accurate stopping point is lower than a preset value, judging that the train stopping precision is normal train stopping precision; and when the distance between the train stopping point and the accurate stopping point is higher than the preset value, judging that the train stopping precision is abnormal train stopping precision.
In some examples of the present invention, the storing and counting the train stopping accuracy and the train control parameter, and automatically adjusting the train control parameter according to the train stopping accuracy includes: storing and counting the train stopping precision and the train control parameters, wherein the train stopping precision comprises normal train stopping precision and abnormal train stopping precision; when the train stopping precision is the normal train stopping precision, keeping the train control parameters unchanged; and when the train stopping precision is the abnormal train stopping precision, adjusting the train control parameters.
In some examples of the present invention, the adjusting the train control parameter when the train stopping accuracy is the abnormal train stopping accuracy includes: and inputting the train control parameters and the train stopping precision into a neural network system, so that the neural network system adjusts the train control parameters.
An embodiment according to a second aspect of the invention proposes an on-board controller comprising: the train control system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring train control parameters, and the train control parameters comprise train performance parameters and train control algorithm parameters; the judging module is used for judging the train stopping precision; and the adjustment learning module is used for storing and counting the train stopping precision and the train control parameters and automatically adjusting the train control parameters according to the train stopping precision.
Therefore, the modules of the vehicle-mounted controller cooperate to automatically adjust the train control parameters, and the departure level can be automatically adjusted according to the alarm speed, so that the debugging time of a large number of developers can be saved, and the adjustment precision is higher.
In some examples of the invention, the train control system further comprises a control module, wherein the control module is used for outputting the train control level according to the train control parameters and controlling the train to run and stop according to the train control level.
In some examples of the invention, the save adjust module is further to: storing and counting the train stopping precision and the train control parameters, wherein the train stopping precision comprises normal train stopping precision and abnormal train stopping precision; when the train stopping precision is the normal train stopping precision, keeping the train control parameters unchanged; and when the train stopping precision is the abnormal train stopping precision, adjusting the train control parameters.
According to a third aspect of the present invention, a controller is provided, which includes a memory, a processor, a receiver, a transmitter, and a computer program stored in the memory and operable on the processor, and when the processor executes the computer program, the controller implements the train parameter automatic adjustment method according to the first aspect of the present invention.
According to a fourth aspect of the present invention, a computer-readable storage medium is provided, where a computer program is stored, and when executed by a processor, the computer program implements the method for automatically adjusting train parameters according to the first aspect of the present invention.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
Fig. 1 is a flowchart of an automatic train parameter adjustment method according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method for automatically adjusting train parameters according to another embodiment of the present invention;
FIG. 3 is a schematic diagram of an onboard controller provided in accordance with an embodiment of the present invention;
FIG. 4 is a schematic diagram of an on-board controller provided in accordance with another embodiment of the present invention;
fig. 5 is a schematic diagram of a controller according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
The method for automatically adjusting train parameters and the on-board controller according to the embodiment of the present invention will be described in detail with reference to fig. 1 to 5.
Fig. 1 illustrates an automatic train parameter adjustment method according to an embodiment of the present invention.
In some embodiments, as shown in fig. 1, the method for automatically adjusting train parameters includes the following steps:
s101, train control parameters are obtained, and the train control parameters comprise train performance parameters and train control algorithm parameters.
Wherein the train may be operated according to train control parameters. The initial control parameters of the train can be obtained by debugging experimenters according to the experimental operation data of different trains on different lines, and the train can be stopped accurately. It should be noted that the train control parameters of the first version are not limited to realize accurate stop of the train, and may also realize functions such as departure of the train, acceleration of the train, and the like during train operation. Train control parameters of different trains are different, and the train performance change can be caused by long train running time, so that the train control parameters need to be correspondingly changed.
The train control parameters comprise train performance parameters, train control algorithm parameters and the like. When the performance changes due to long train running time, the train performance parameters need to be adjusted in subsequent adjustment, and train control algorithm parameters are adjusted simultaneously according to the adjusted train performance parameters.
In some embodiments, the train control parameters may be obtained by debugging the train control parameters by experimenters according to experimental operation data of different trains on different routes. In some prior art, when the performance of a train changes or some other reasons cause that the train control parameters need to be modified to enable the train to stop accurately, experimental personnel are required to reconfigure, and the method is tedious and has a large workload. In some embodiments of the invention, this acquisition is only required when the train first achieves a precision stop based on train control parameters.
In other embodiments, the train control parameters may be obtained by adjusting existing train control parameters. For example, when train control parameters obtained by experimenters according to experimental operation data of different trains on different lines cannot enable the trains to stop accurately, the train control parameters can be adjusted to obtain the adjusted train control parameters.
And S102, judging the train stopping precision.
When the train is stopped stably, the stopping precision of the train needs to be judged. It should be noted that the train stopping precision is an error between the current train stopping point and the precise train stopping point. Whether the train stops accurately can be judged according to the train stopping precision.
S103, storing and counting the train stopping precision and the train control parameters, and adjusting the train control parameters according to the train stopping precision.
The train stop accuracy is the data obtained in step S102.
In some embodiments, if the train operates for the first time according to train control parameters, the train control parameters are data obtained by debugging of experimenters, and the train can be stopped accurately. After that, the performance of the train changes due to long-time operation, and the train cannot be stopped accurately according to the train control parameters obtained by the experimenter, the train control parameters need to be adjusted by the automatic train parameter adjusting method, and at this time, the train control parameters in step S103 are the train control parameters obtained by the experimenter. According to the train control parameters and the train parking precision obtained by debugging of experimenters, the adjusted train control parameters can be obtained, so that the train can be accurately parked again.
In other embodiments, after the train control parameter is adjusted for the first time, the performance of the train is changed again due to some reasons, so that the train control parameter adjusted for the first time cannot be accurately stopped, the train control parameter needs to be adjusted for the second time again by the automatic train parameter adjusting method, and at this time, the train control parameter in step S103 is the train control parameter adjusted for the first time.
In some embodiments, train stopping accuracy and train control parameters need to be stored and counted, and the train can form a database based on the stored train stopping accuracy and train control parameters for self-learning and judgment.
According to the automatic train parameter adjusting method, when the train cannot be accurately stopped, namely when the train is abnormally stopped, the current train control parameters with abnormal conditions can be automatically adjusted until the train is accurately stopped. By the method, a large amount of debugging time of developers can be saved, the train control parameters are not required to be manually adjusted for the purpose of retesting the abnormal condition of the train caused by some performance changes, the adjusting frequency of the method is high, the adjusting precision is high, and the method is more accurate and effective than the method that an experimenter manually modifies the parameters.
In some embodiments, as shown in fig. 2, the step S101 of acquiring train control parameters further includes:
s201, outputting a train control level according to train control parameters;
and S202, controlling the train to normally stop according to the train control level.
After the train control parameters are obtained, the train control level can be obtained through the train control parameters, and the train control level comprises a departure process level, a control process level and a parking process level. The departure process level is used for controlling level control in the departure process of the train, the control process level is used for controlling level control in the normal running process of the train, and the stop process level is used for controlling level control in the stop process of the train.
In a specific embodiment of the invention, the parking process level is mainly adopted to realize the accurate parking of the train. It can be understood that when the train control parameter changes, the train control level changes correspondingly.
And controlling the normal stop of the train according to the train control level, and realizing the accurate stop of the train mainly through the stop process level in the train control level. Wherein, the command speed curve is an important reference curve during the train stopping process. The stage control in the train stopping process is realized by comparing the actual running speed of the train with the command speed curve, so that the train is accurately stopped.
In some embodiments, the step S102 of determining the train stopping accuracy includes the following steps:
when the distance between the train stopping point and the accurate stopping point is lower than a preset value, judging that the train stopping precision is normal train stopping precision;
and when the distance between the train stopping point and the accurate stopping point is higher than a preset value, judging that the train stopping precision is abnormal train stopping precision.
In some embodiments, the precise stopping point is the theoretically most accurate stopping point, and the train stopping point is the current stopping position of the train.
It should be understood that, under a general condition, an actual stopping point of a train is not easy to reach an accurate stopping point exactly, and therefore, an error of a certain numerical value exists between the actual stopping point and the accurate stopping point of the train, namely the error is a preset value.
In the national standard, this preset value is 30 cm. In this embodiment, the preset value may be any value less than or equal to 30 cm, for example, the preset value may be 15 cm.
When the distance between the actual stop point and the accurate stop point of the train is lower than the preset value, the train can be approximately understood as the train to realize accurate stop.
Therefore, when the distance between the actual stop point and the accurate stop point of the train is smaller than the preset value, the train is judged to be in normal train stop precision, and the corresponding train control parameter is also the normal train control parameter; and when the distance between the actual stopping point of the train and the accurate stopping point is greater than a preset value, judging that the train stops with abnormal precision, wherein the train control parameter corresponding to the abnormal train control parameter is the abnormal train control parameter.
In some embodiments, the step S103 of saving and counting the train stopping accuracy and the train control parameter, and adjusting the train control parameter according to the train stopping accuracy includes the following steps:
storing and counting train stopping precision and train control parameters, wherein the train stopping precision comprises normal train stopping precision and abnormal train stopping precision;
when the train stopping precision is the normal train stopping precision, keeping the train control parameters unchanged;
and when the train stopping precision is the abnormal train stopping precision, adjusting the train control parameters.
In some embodiments, after obtaining the train stopping accuracy, the data of the train stopping accuracy and the train control parameters needs to be saved. The train stopping precision comprises normal train stopping precision and abnormal train stopping precision, and when the train stopping precision is saved, the normal train stopping precision and the abnormal train stopping precision are required to be saved. When the train stopping precision is the normal train stopping precision, representing that the current train control parameter is the normal train control parameter; and when the train stopping precision is the abnormal train stopping precision, the current train control parameter is the abnormal train control parameter.
After the train stopping accuracy is saved, the train control parameters need to be adjusted according to the train stopping accuracy. When the train stopping precision is the normal train stopping precision, the train control parameters can realize the accurate stopping of the train, so that the train control parameters do not need to be adjusted, and the train control parameters are kept unchanged. When the train stopping precision is the abnormal train stopping precision, the train control parameters cannot realize the accurate stopping of the train at the moment, and the train control parameters need to be adjusted so that the train can realize the accurate stopping.
In some embodiments, when the train precision is the abnormal train stopping precision, the train control parameter is adjusted, and the method comprises the following steps: and inputting the train control parameters and the train stopping precision into the neural network system, so that the neural network system adjusts the train control parameters. The train control parameters which lead to the fact that the train cannot be accurately stopped and the data of the train stopping precision are input into the neural network system, and the neural network system adjusts the train control parameters according to the input data. And the neural network system gives the adjusted train control parameters to the train control, and if the train can not be accurately stopped according to the adjusted train control parameters, the adjustment is continued until the accurate stop of the train is realized.
Fig. 3 illustrates an on-board controller 100 according to an embodiment of the present invention.
In some embodiments, as shown in fig. 3, the on-board controller 100 includes an acquisition module 10, a determination module 20, and a preservation adjustment module 30. The obtaining module 10 is configured to obtain train control parameters, where the train control parameters include train performance parameters and train control algorithm parameters. The judging module 20 is used for judging the train stopping precision. The storage adjusting module 30 is used for storing and counting the train stopping precision and the train control parameters, and automatically adjusting the train control parameters according to the train stopping precision.
Therefore, through the vehicle-mounted controller 100, when the train cannot be precisely stopped, namely when the train is abnormally stopped, the current train control parameters under abnormal conditions can be automatically adjusted until the train is precisely stopped. Therefore, debugging time of a large number of developers can be saved, the train control parameters are not required to be manually adjusted for retesting abnormal conditions of the train caused by performance changes, and the method is large in adjusting frequency and high in adjusting precision, and is more accurate and effective than the method that an experimenter manually modifies the parameters.
In some embodiments, the train obtains train control parameters through the obtaining module 10 in the on-board controller 100. The train control parameters acquired by the acquisition module 10 may be configured by an experimenter, or may be acquired from the storage adjustment module 30.
In some embodiments, if the train operates for the first time according to the train control parameters, the train control parameters are data obtained by debugging of experimenters, and the train can be stopped accurately. Namely, train control parameters required by the initial operation of the train are obtained by debugging experimenters. And the train can be accurately stopped according to train control parameters obtained by debugging.
In other embodiments, when the train runs for a long time or the performance of the train changes due to other reasons, so that the train control parameters initially debugged by the experimenter cannot stop the train accurately, the train control parameters need to be adjusted, the train control parameters adjusted by the storage adjusting module 30 in the on-board controller 100 are sent to the obtaining module 10, and the obtaining module 10 configures the train running according to the adjusted train control parameters.
In some embodiments, as shown in fig. 4, the onboard controller 100 also includes a control module 40. The control module 40 can output the train control level according to the train control parameters and control the train to normally stop according to the train control level.
In some embodiments, the control module 40 may obtain the train control level through the train control parameters obtained by the obtaining module 10, where the train control level includes an departure process level, a control process level, and a parking process level. The departure process level is used for controlling level control in the departure process of the train, the control process level is used for controlling level control in the normal running process of the train, and the stop process level is used for controlling level control in the stop process of the train. In one embodiment of the invention, the parking process level is primarily used to achieve accurate parking of the train. Wherein, the command speed curve is an important reference curve during the train stopping process. The stage control in the train stopping process is realized by comparing the actual running speed of the train with the command speed curve, so that the train is accurately stopped.
In some embodiments, the determining module 20 specifically determines the following manner:
when the distance between the train stopping point and the accurate stopping point is lower than a preset value, judging that the train stopping precision is normal train stopping precision;
and when the distance between the train stopping point and the accurate stopping point is higher than a preset value, judging that the train stopping precision is abnormal train stopping precision.
The judging module 20 needs to judge whether the train stopping precision is normal or abnormal by comparing the distance between the train stopping point and the precise stopping point. It should be understood that the train stopping point is an actual stopping point after the train stops, and the precise stopping point is the theoretically most accurate stopping point of the train. Generally, the actual stopping point of the train is not easy to reach the accurate stopping point, and therefore, an error of a certain numerical value exists between the actual stopping point and the accurate stopping point of the train, namely the error is a preset value.
In the national standard, this preset value is 30 cm. In this embodiment, the preset value may be any value less than or equal to 30 cm, for example, the preset value may be 15 cm.
When the distance between the actual stop point and the accurate stop point of the train is lower than the preset value, the train can be approximately understood as the train to realize accurate stop.
Therefore, when the distance between the train stopping point and the accurate stopping point is smaller than the preset value, the judging module 20 judges that the train stopping precision is the normal stopping precision. When the distance between the train stopping point and the accurate stopping point is greater than the preset value, the judging module 20 judges that the train stopping precision is the abnormal stopping precision.
In some embodiments, the save adjust module 30 is further configured to:
storing and counting train stopping precision and train control parameters, wherein the train stopping precision comprises normal train stopping precision and abnormal train stopping precision;
when the train stopping precision is the normal train stopping precision, keeping the train control parameters unchanged;
and when the train stopping precision is the abnormal train stopping precision, adjusting the train control parameters.
In some embodiments, after obtaining the train stopping accuracy, the storage adjustment module 30 needs to store the data of the train stopping accuracy and the train control parameters. The train stopping precision comprises normal train stopping precision and abnormal train stopping precision, and when the train stopping precision is saved, the normal train stopping precision and the abnormal train stopping precision are required to be saved. When the train stopping precision is the normal train stopping precision, representing that the current train control parameter is the normal train control parameter; and when the train stopping precision is the abnormal train stopping precision, the current train control parameter is the abnormal train control parameter.
After the train stopping accuracy is saved, the saving adjustment module 30 needs to adjust the train control parameters according to the train stopping accuracy. When the train stopping precision is the normal train stopping precision, the train control parameters can realize the accurate stopping of the train, so that the train control parameters do not need to be adjusted, and the train control parameters are kept unchanged. When the train stopping precision is the abnormal train stopping precision, the train control parameters cannot realize the accurate stopping of the train at the moment, and the train control parameters need to be adjusted so that the train can realize the accurate stopping.
When the train precision is the abnormal train stopping precision, the train control parameters which cause the train to be incapable of stopping accurately and the data of the train stopping precision are input into the neural network system in the storage and adjustment module 30, and the neural network system adjusts the train control parameters according to the input data. The neural network system sends the adjusted train control parameters to the acquisition module 10, and if the train cannot be accurately stopped according to the adjusted train control parameters, the adjustment is continued until the accurate stop of the train is realized.
In some embodiments, as shown in fig. 5, there is provided a controller 200, which includes a receiver 11, a memory 12, a processor 13, a transmitter 14, and a computer program stored in the memory and operable on the processor, wherein the processor 13, when executing the computer program, implements the steps of the train parameter automatic adjustment method in the above-mentioned embodiments.
In some embodiments, a computer-readable storage medium 300 is provided, and the computer-readable storage medium 300 stores thereon a computer program, which when executed by a processor, implements the steps of the vehicle map preparation processing method in the above embodiments.
Other configurations and operations of the train parameter automatic adjustment method and the on-board controller according to the embodiment of the present invention are known to those skilled in the art and will not be described in detail herein.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; 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; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (10)
1. An automatic train parameter adjusting method is characterized by comprising the following steps:
obtaining train control parameters, wherein the train control parameters comprise train performance parameters and train control algorithm parameters;
judging the stopping precision of the train;
and storing and counting the train stopping precision and the train control parameters, and automatically adjusting the train control parameters according to the train stopping precision.
2. The method for automatically adjusting train parameters according to claim 1, further comprising, before said determining the train stopping accuracy:
outputting a train control level according to the train control parameters;
and controlling the train to run and stop according to the train control level.
3. The method for automatically adjusting train parameters according to claim 1, wherein the determining the train stopping accuracy comprises:
when the distance between the train stopping point and the accurate stopping point is lower than a preset value, judging that the train stopping precision is normal train stopping precision;
and when the distance between the train stopping point and the accurate stopping point is higher than the preset value, judging that the train stopping precision is abnormal train stopping precision.
4. The method for automatically adjusting train parameters according to claim 3, wherein the storing and counting the train stopping accuracy and the train control parameters, and automatically adjusting the train control parameters according to the train stopping accuracy comprises:
storing and counting the train stopping precision and the train control parameters, wherein the train stopping precision comprises normal train stopping precision and abnormal train stopping precision;
when the train stopping precision is the normal train stopping precision, keeping the train control parameters unchanged;
and when the train stopping precision is the abnormal train stopping precision, adjusting the train control parameters.
5. The method according to claim 4, wherein the adjusting the train control parameter when the train stopping accuracy is the abnormal train stopping accuracy comprises:
and inputting the train control parameters and the train stopping precision into a neural network system, so that the neural network system adjusts the train control parameters.
6. An onboard controller, comprising:
the train control system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring train control parameters, and the train control parameters comprise train performance parameters and train control algorithm parameters;
the judging module is used for judging the train stopping precision;
and the adjustment learning module is used for storing and counting the train stopping precision and the train control parameters and automatically adjusting the train control parameters according to the train stopping precision.
7. The vehicle-mounted controller according to claim 6, further comprising a control module, wherein the control module is used for outputting a train control level according to the train control parameter and controlling the train to run and stop according to the train control level.
8. The vehicle-mounted controller of claim 7, wherein the save adjust module is further configured to:
storing and counting the train stopping precision and the train control parameters, wherein the train stopping precision comprises normal train stopping precision and abnormal train stopping precision;
when the train stopping precision is the normal train stopping precision, keeping the train control parameters unchanged;
and when the train stopping precision is the abnormal train stopping precision, adjusting the train control parameters.
9. A controller comprising a memory, a processor, a receiver, a transmitter, and a computer program stored in the memory and operable on the processor, wherein the processor, when executing the computer program, implements the train parameter automated adjustment method of any one of claims 1 to 5.
10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out a method for automated adjustment of train parameters according to any one of claims 1 to 5.
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| CN115056824A (en) * | 2022-05-06 | 2022-09-16 | 北京和利时系统集成有限公司 | Method and device for determining vehicle control parameters, computer storage medium and terminal |
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