CN114919632A - Traction calculation simulation method and device - Google Patents
Traction calculation simulation method and device Download PDFInfo
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- CN114919632A CN114919632A CN202210674702.2A CN202210674702A CN114919632A CN 114919632 A CN114919632 A CN 114919632A CN 202210674702 A CN202210674702 A CN 202210674702A CN 114919632 A CN114919632 A CN 114919632A
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Abstract
The invention provides a traction calculation simulation method and a traction calculation simulation device, wherein the method comprises the following steps: acquiring speed and position information of a target train and acquiring characteristic data of a route in a target route; and carrying out traction calculation simulation on the target train according to the speed and position information of the target train, the characteristic data of the route in the target route and the pre-obtained train control parameters of the automatic train driving system based on a train control algorithm of the automatic train driving system, and obtaining a time-speed curve and train control level information of the target train running on the target route. According to the traction calculation simulation method and device, the ATO vehicle control algorithm is applied to traction calculation, the accuracy of the train operation curve obtained through simulation can be greatly improved, the time-speed curve obtained through simulation is almost the same as the actual time of an engineering project, and the problems that the train operation curve obtained through a manual simulation mode is inconsistent and inaccurate with field operation can be solved.
Description
Technical Field
The invention relates to the technical field of rail transit, in particular to a traction calculation simulation method and device.
Background
Urban rail transit is the backbone of urban public transport passenger transport systems, and is a modern urban passenger transport system which adopts independent special rails, runs at high density, and serves for medium and long distances. The urban rail transit train is a safe, comfortable, quick and punctual green transportation means.
Train traction calculation is to study various forces (including locomotive traction force, train running resistance and train braking force) which directly act on a train and are parallel to the running direction of the train, and the relation between the forces and the running of the train, so as to solve a series of actual problems (which may include train running speed and time, traction quality, locomotive energy consumption, train braking distance and the like) related to the running of the train. By carrying out simulation analysis research on the running performance and the control process of the rail transit train, the method is beneficial to giving full play to the vehicle traction capacity and optimizing the use of the vehicle, improving the running quality, saving energy and the like.
The traction calculation simulation can realize simulation of the running process of the urban rail transit train on an actual line through a mathematical model by means of a computer, can quickly calculate the running results of the train under various different conditions, can evaluate the feasibility of a scheme proposed by a traction system manufacturer, and provides theoretical data for the running time of each station.
The existing traction calculation simulation method usually makes appropriate speed and acceleration for each running interval according to speed limit information given by engineering and parameters in an electronic map, and manually simulates a time-speed curve as a simulation curve for train running, but the accuracy of the simulation curve is poor and is inconsistent with the field running condition of a train.
Disclosure of Invention
The invention provides a traction calculation simulation method and a traction calculation simulation device, which are used for solving the defect of low accuracy of traction calculation simulation in the prior art and realizing more accurate traction calculation simulation.
The invention provides a traction calculation simulation method, which comprises the following steps:
acquiring speed and position information of a target train and acquiring characteristic data of a route in a target route;
and carrying out traction calculation simulation on the target train according to the speed and position information of the target train, the characteristic data of the route in the target route and the pre-obtained train control parameters of the automatic train driving system based on a train control algorithm of the automatic train driving system, and obtaining a time-speed curve and train control level information of the target train running on the target route.
According to the traction calculation simulation method provided by the invention, before the train control algorithm based on the train automatic driving system performs traction calculation simulation on the target train according to the speed and position information of the target train, the characteristic data of the route in the target route and the pre-obtained train control parameters of the train automatic driving system to acquire the time-speed curve and the train control level information of the target train running on the target route, the method further comprises the following steps:
acquiring a first input of a user;
and responding to the first input, and acquiring the train control parameters of the train automatic driving system.
According to the traction calculation simulation method provided by the invention, the train control algorithm based on the train automatic driving system performs traction calculation simulation on the target train according to the speed and position information of the target train, the characteristic data of the route in the target route and the pre-obtained train control parameters of the train automatic driving system to acquire the time-speed curve and the train control level information of the target train running on the target route, and the method comprises the following steps:
based on a train control algorithm of the train automatic driving system, acquiring a train control level and a target speed of the target train when the target train is positioned at each target point on the target line according to the speed and position information of the target train, the characteristic data of the route in the target line and a pre-acquired train control parameter of the train automatic driving system;
and acquiring a time-speed curve and control level information of the target train running on the target line based on the control level and the target speed of the target train when the target train is positioned at each target point on the target line.
According to the traction calculation simulation method provided by the invention, the acquiring of the speed and position information of the target train comprises the following steps:
acquiring a second input of the user;
and responding to the second input, and acquiring the speed and position information of the target train.
According to the traction calculation simulation method provided by the invention, the step of acquiring the characteristic data of the route in the target line comprises the following steps:
acquiring a third input of the user;
and responding to the third input, and acquiring characteristic data of the route in the target route.
According to the traction calculation simulation method provided by the invention, the train control parameters of the train automatic driving system comprise: traction and braking parameters, engineering configuration parameters, and program configuration parameters.
The invention also provides a traction calculation simulation device, comprising:
the acquisition module is used for acquiring the speed and position information of the target train and acquiring characteristic data of a route in a target line;
and the simulation module is used for carrying out traction calculation simulation on the target train according to the speed and position information of the target train, the characteristic data of the route in the target route and the pre-obtained train control parameters of the automatic train driving system based on a train control algorithm of the automatic train driving system, and acquiring a time-speed curve and train control level information of the target train running on the target route.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the traction calculation simulation method.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a traction calculation simulation method as described in any one of the above.
The invention also provides a computer program product comprising a computer program which, when executed by a processor, implements a traction calculation simulation method as described in any one of the above.
According to the traction calculation simulation method and device provided by the invention, the ATO train control algorithm is applied to traction calculation, so that the accuracy of the train operation curve obtained by simulation can be greatly improved, the time-speed curve simulated by simulation is almost the same as the actual time of an engineering project, the error of interval operation time can be reduced to be within 3%, and the problems that the train operation curve obtained by a manual simulation mode is inconsistent and inaccurate with the field operation can be solved.
Drawings
In order to more clearly illustrate the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic flow chart of a traction calculation simulation method provided by the present invention;
FIG. 2 is a schematic data flow diagram of a traction calculation simulation method according to the present invention;
FIG. 3 is a schematic flow chart of obtaining ATO vehicle control parameters in the traction calculation simulation method provided by the present invention;
FIG. 4 is a schematic flow chart illustrating modification of ATO vehicle control parameters in the traction calculation simulation method provided by the present invention;
FIG. 5 is a schematic structural diagram of a traction calculation simulation apparatus provided in the present invention;
fig. 6 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. 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.
In the description of the embodiments of the invention, the terms "first", "second", and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance, nor order.
The following describes a traction calculation simulation method and apparatus provided by the present invention with reference to fig. 1 to 6.
Fig. 1 is a schematic flow chart of a traction calculation simulation method provided by the present invention. As shown in fig. 1, an execution subject of the traction calculation simulation method provided in the embodiment of the present invention may be a traction calculation simulation apparatus, and the method includes: step 101 and step 102.
Specifically, the executing body of step 101 may be an obtaining module included in the traction calculation simulation device, and the executing body of step 102 may be a simulation module included in the traction calculation simulation device.
And 101, acquiring speed and position information of a target train and acquiring characteristic data of a route in a target route.
Specifically, the speed and position information of the target train may be acquired by at least one of input of the user, reading of the first target file, and reading of data stored in the first target database.
All or part of the speed and position information of the target train may be stored in the first target file or the first target database in advance.
Alternatively, in the case where the first object file or the first object database stores the speed and position information of a part of the object trains, the speed and position information of the remaining part of the object trains may be acquired through input of the user, thereby obtaining the speed and position information of all the object trains.
The speed and position information of the target train may include information such as an initial speed, an initial position, and an end position calculated by a Movement Authority (MA) of the target train.
Alternatively, the initial position of the target train may refer to a position relative to the starting point of each route in the target coordinate system.
The end position of the mobile authorization calculation may refer to the end position of the mobile authorization calculation in the target coordinate system.
It should be noted that the target coordinate system may be a previously selected coordinate system. The embodiment of the present invention is not particularly limited as to which coordinate system the target coordinate system is.
Alternatively, the characteristic data of the route in the target route may be acquired by at least one of user input, reading the second target file, reading data stored in the second target database, and the like.
The feature data of all or part of the routes in the target route may be stored in advance in a second target file or a second target database.
Alternatively, in a case where the second object file or the second object database stores feature data of routes in a part of the object routes, feature data of routes in the remaining part of the object routes may be acquired by input of a user, thereby obtaining feature data of routes in all the object routes.
The characteristic data of the routes in the target route may include the number of routes in the target route, and data such as a maximum Speed limit Profile (MRSP), a temporary Speed limit, a gradient, a reference stopping point, and an operating stopping point of each route.
And 102, carrying out traction calculation simulation on the target train according to the speed and position information of the target train, the characteristic data of the route in the target route and the pre-obtained train control parameters of the automatic train driving system based on a train control algorithm of the automatic train driving system, and obtaining a time-speed curve and train control level information of the target train running on the target route.
Specifically, a Train Control algorithm (may be referred to as an ATO Train Control algorithm) actually adopted by an Automatic Train Operation (ATO) System in a CBTC (Communication Based Train Control System) may be used for the traction calculation simulation of the target Train.
An ATO train control algorithm can be called by adopting a dynamic library calling mode, traction calculation simulation is carried out according to the speed and position information of the target train, the characteristic data of the approach in the target line, the pre-obtained train control parameters of the automatic train driving system and other information, and the time-speed curve and the train control level information of the target train running on the target line are calculated.
Alternatively, the time-speed curve of the target train running on the target line may be visually presented in the form of a time-speed graph or the like. The information of the train control level of the target train running on the target line can be visually presented in the form of a chart of time level and the like.
Optionally, the vehicle control level can be a level in a stepless control mode.
Optionally, an ATO train control algorithm in a pre-established ATO train control algorithm library may be called, and according to the speed and position information of the target train, the characteristic data of the route in the target route, and pre-obtained train control parameters of the train automatic driving system, etc., traction calculation and train control are performed to obtain a time-speed curve and train control level information of the target train running on the target route.
Based on the ATO vehicle control algorithm in the ATO vehicle control algorithm library, a maximum limit speed curve (MRSP) in a whole line and a specific range, an EB (Emergency Braking which cannot be automatically relieved) trigger speed curve, an ATO alarm speed curve, an ATO command speed curve, an ATO running speed curve, an average running speed and the like can be generated.
It should be noted that, an actual ATO vehicle control algorithm can be loaded to perform traction calculation simulation, and the simulation effect can be closer to the field and the actual situation.
The traditional manual simulation of the operation curve has limited accuracy, a time-speed curve is usually a manually simulated operation curve according to the limiting conditions (road speed limit, gradient, section operation time and the like) of each section, and the time-speed curve is different from the actual train operation curve to a certain extent, so that the consistency of the simulation result and the field operation cannot be ensured.
According to the embodiment of the invention, the ATO train control algorithm is applied to the traction calculation, so that the accuracy of the train operation curve obtained by simulation can be greatly improved, the time-speed curve simulated by simulation is almost the same as the actual engineering project, the error of interval operation time can be reduced to be within 3%, and the problems that the train operation curve obtained by a manual simulation mode is inconsistent and inaccurate with the field operation can be solved.
Based on the content of any of the above embodiments, based on the train control algorithm of the train automatic driving system, according to the speed and position information of the target train, the characteristic data of the route in the target route, and the train control parameters of the train automatic driving system obtained in advance, the method further includes, before obtaining the time-speed curve and the train control level information of the target train running on the target route, performing traction calculation simulation on the target train: a first input of a user is obtained.
Specifically, the user may input all or a portion of the train control parameters (i.e., ATO control parameters) of the train autopilot system by inputting the first input to the traction calculation simulation apparatus.
The first input may carry control parameters of all or part of the train autopilot system.
Optionally, the user may input the first input to the traction calculation simulation apparatus by inputting all or part of the train control parameters of the train automatic driving system in the first target interface.
And responding to the first input, and acquiring the train control parameters of the automatic train driving system.
Specifically, after receiving the first input, the first input may be obtained with the train control parameters of all or part of the train automatic driving system.
It can be understood that the train control parameters of part or all of the train automatic driving system can be stored in the storage module of the traction calculation simulation device or the external storage module electrically connected with the traction calculation simulation device in advance.
For each vehicle control parameter carried by the first input and not stored in the storage module, the value of the vehicle control parameter carried by the first input can be stored in the storage module; for each vehicle control parameter carried by the first input and stored in the storage module, the value of the vehicle control parameter stored in the storage module can be updated to the value of the vehicle control parameter carried by the first input, so that the vehicle control parameter can be modified.
In the conventional traction calculation simulation, in order to ensure the normal operation of the simulation analysis of the traction calculation tool, engineering technicians need to make appropriate speed and acceleration for each interval again as long as any parameter (such as an ATO vehicle control parameter or a stopping parameter) is changed every time, a time-speed curve is manually simulated, and vehicle control parameters in an ATO vehicle control module need to be modified at a source code end; after the time-speed curve is simulated, the simulation is carried out based on the traction calculation tool and the time-speed curve so as to ensure the correction correctness of the parameters.
Manually modifying ATO vehicle control parameters, requiring engineering technicians to find a source code corresponding to the parameters, then performing parameter modification operation in the source code, debugging programs after modification, calculating the running speed of each interval, and finally transmitting a running curve to a traction calculation tool. One modification of the parameters may take about two hours, which may greatly increase the time and labor input if it is found that the parameters still need to be modified.
In the embodiment of the invention, the adjustment of the ATO vehicle control parameters does not need to be modified at the source code end, and the corresponding parameters can be modified only by the input of a user, so that the problem that the modification of the ATO vehicle control parameters needs to be manually modified on the source code can be solved.
In the conventional traction calculation simulation, the situation that corresponding parameters cannot be completely modified or the modified parameters are not matched with the vehicle performance may occur, so that ATO (automatic train control) abnormality occurs in the simulation calculation of a traction calculation tool, and the accuracy of parameter modification needs to be manually confirmed.
In the embodiment of the invention, the adjustment of the ATO vehicle control parameters can be realized by correcting the data of the adjusted parameters in real time, so that the accuracy is ensured, the fault tolerance rate is improved, the process of repeatedly modifying the source code and generating the dynamic library due to the error of manual adjustment is avoided, and the problem of repeatedly modifying the manual debugging parameters due to the error can be solved.
According to the embodiment of the invention, the train control parameters of the train automatic driving system are obtained through the first input based on the user, so that the efficiency, the fault tolerance rate and the accuracy of modifying the train control parameters can be improved, and the efficiency of traction calculation simulation is improved.
Based on the content of any of the embodiments, based on a train control algorithm of the train automatic driving system, according to the speed and position information of the target train, the characteristic data of the route in the target route and the pre-obtained train control parameters of the train automatic driving system, the method performs traction calculation simulation on the target train to obtain a time-speed curve and train control level information of the target train running on the target route, and includes: and based on a train control algorithm of the train automatic driving system, acquiring a train control level and a target speed when the target train is positioned at each target point on the target line according to the speed and position information of the target train, the characteristic data of the approach in the target line and the pre-acquired train control parameters of the train automatic driving system.
Specifically, the speed and position information of the target train, the characteristic data of the route in the target route and the train control parameters of the automatic train driving system can be read, an ATO train control algorithm is called, the train control level when the target train is positioned at the target point is calculated according to the position and other information of the target point on the target route, the regulation of the train control level is carried out in real time, and the speed limitation is carried out according to the speed limiting parameters of the target route; and judging whether the vehicle needs to be decelerated or not according to the current target point, the reference deceleration and the vehicle control level. And continuously calculating the target speed of the target train at each target point on the target line according to the current state and speed of the target train, the position of the target point and other information along with the continuous change of the target point.
And acquiring a time-speed curve and control level information of the target train running on the target line based on the control level and the target speed of the target train when the target train is positioned at each target point on the target line.
Specifically, the target speed when the target train is located at each target point on the target line and the time consumed for reaching each target point may be mapped to each point in the plane rectangular coordinate system (for example, time may be represented by an abscissa, and speed may be represented by an ordinate) in the plane rectangular coordinate system; fitting is performed based on each point to obtain a curve, i.e., a time-velocity curve.
The information of the control level may include the control level when the target train is located at each target point on the target line.
According to the embodiment of the invention, the ATO train control algorithm is applied to traction calculation, so that the accuracy of the train operation curve obtained by simulation can be greatly improved, the time-speed curve simulated by simulation is almost the same as the actual engineering project, the error of the interval operation time can be reduced to be within 3%, and the problems that the train operation curve obtained by a manual simulation mode is inconsistent and inaccurate with the field operation can be solved.
Based on the content of any of the above embodiments, acquiring the speed and position information of the target train includes: a second input of the user is obtained.
Specifically, the speed and position information of the target train can be acquired in a user input mode, so that the flexibility of configuring the speed and position information of the target train in the traction calculation simulation is improved.
The user may enter all or a portion of the target train's speed and position information by entering a second input into the traction calculation simulation device.
The second input may carry speed and location information for all or a portion of the target train.
Alternatively, the user may effect the input of the second input to the traction calculation simulation device by entering all or a portion of the target train's speed and position information in the second target interface.
In response to the second input, speed and location information of the target train is obtained.
Specifically, after receiving the second input, the second input may be obtained to carry all or part of the speed and position information of the target train.
It will be appreciated that some or all of the speed and location information of the target train may be pre-stored in the memory module of the traction calculation simulator or an external memory module electrically connected to the traction calculation simulator, in the form of a first target file and/or a first target database, etc.
For each speed and position information carried by the second input and not stored in the storage module, the speed and position information carried by the second input may be stored in the storage module; for each speed and position information carried by the second input and already stored in the storage module, the speed and position information stored in the storage module may be updated to the speed and position information carried by the second input, so as to modify the speed and position information.
According to the embodiment of the invention, the speed and position information of the target train is obtained through the second input based on the user, so that the efficiency, fault tolerance rate and accuracy of modifying the speed and position information of the target train can be improved, and the efficiency of traction calculation simulation is improved.
Based on the content of any of the above embodiments, acquiring feature data of a route in a target route includes: a third input by the user is obtained.
Specifically, the characteristic data of the route in the target route can be acquired in a user input mode, so that the flexibility of configuring the characteristic data of the route in the target route in the traction calculation simulation is improved.
The user may enter characteristic data of all or a portion of the routes taken in the target route by entering a third input into the traction calculation simulation apparatus.
The third input may carry all or part of the characteristic data of the route in the destination line.
Alternatively, the user may enter a third input into the traction calculation simulation device by entering characteristic data of the route in all or a portion of the target route in the second target interface.
In response to a third input, feature data for a route in the target route is obtained.
Specifically, after receiving the third input, the third input may be obtained to carry feature data of all or part of the routes in the target line.
It will be appreciated that the characteristic data of all or part of the route in the target route may be stored in advance in the memory module of the traction calculation simulation device or in an external memory module electrically connected to the traction calculation simulation device, in the form of a second target file and/or a second target database, etc.
For each feature data carried by the third input and not stored in the storage module, a value of the feature data carried by the third input may be stored in the storage module; for each feature data carried by the third input and stored in the storage module, the value of the feature data stored in the storage module may be updated to the value of the feature data carried by the third input, so as to modify the feature data.
According to the embodiment of the invention, the characteristic data of the route in the target route is acquired based on the third input of the user, so that the efficiency, the fault tolerance rate and the accuracy of modifying the characteristic data of the route in the target route can be improved, and the efficiency of traction calculation simulation is improved.
Based on the content of any one of the above embodiments, the train control parameters of the train automatic driving system include: traction and braking parameters, engineering configuration parameters, and program configuration parameters.
Specifically, the traction and braking parameters refer to parameters for characterizing the traction performance and the braking performance of the target train.
Alternatively, the traction and braking parameters may include 11 parameters, such as "traction parameter table", "braking parameter table", "emergency braking rate in EB calculation model" and "brake application time in EB model", but are not limited to the above 11 parameters.
The engineering configuration parameters refer to parameters for representing engineering design requirements of the target line.
Optionally, the engineering configuration parameters may include 19 parameters, such as "maximum length from maximum safety front end to estimated position envelope", "maximum distance between MRSP falling edge position and EB inflection point at ATP strictest target point", and "emergency braking trigger speed and alarm speed difference", but are not limited to the above 19 parameters.
The program configuration parameters refer to parameters which need to be configured for executing the program of the vehicle control algorithm.
Alternatively, the program configuration parameters may include 29 parameters, such as "ATO service brake deceleration", "parking transition point distance", "parking transition point target speed", and "reference point distance", but are not limited to the above 19 parameters.
In the traditional traction calculation simulation, if parameters of vehicles are different, such as wheel diameter values, train length, distance from the center of a first passenger room door to the head of the vehicle and the like, different dynamic libraries need to be loaded during traction calculation, time and labor are wasted, the efficiency is low, and the requirement of simulating a plurality of vehicles of different types cannot be met at one time.
In the embodiment of the invention, the traction and braking parameters, the engineering configuration parameters and the program configuration parameters of a single train can be modified, the function of selecting different types of vehicles by one key can be realized, the working efficiency can be greatly improved, and the problem that a traction calculation tool can only carry out traction calculation simulation on the vehicles with the same parameters is solved.
In order to facilitate understanding of the above embodiments of the present invention, the following describes the implementation process of the traction calculation simulation.
Fig. 2 is a schematic data flow diagram of a traction calculation simulation method provided by the present invention. As shown in fig. 2, the obtaining module may package and send train data, line data, and train control parameters to the simulation module, and call an ATO train control algorithm in the simulation module by means of dynamic library call; the simulation module calculates a time-speed curve and control level information of the target train running on the target line based on an ATO (automatic train operation) control algorithm according to the train data, the line data and the control parameters, and returns the time-speed curve and the control level information of the target train running on the target line to the acquisition module as return values.
Fig. 3 is a schematic flow diagram of obtaining ATO vehicle control parameters in the traction calculation simulation method provided by the present invention. As shown in fig. 3, the acquisition module calls the simulation module in a dynamic library calling manner, and the simulation module acquires traction and braking parameters, engineering configuration parameters, and program configuration parameters input into the acquisition module based on the configuration structure of ATO control parameters.
Fig. 4 is a schematic flow diagram illustrating a process of modifying ATO vehicle control parameters in the traction calculation simulation method provided by the present invention. As shown in fig. 4, the process of modifying ATO vehicle control parameters may include the following steps:
For example, the "command speed limit", "reference point distance", and "train construction speed" are modified.
And 403, judging whether the simulation analysis curve is successfully generated.
And (4) simulating an analysis curve, namely a simulated train operation curve (at least comprising a time-speed curve).
If so, indicating that the parameter modification is successful, and ending; if not, it indicates that the modification of the parameters fails, then the process may return to step 401.
Taking the xi 'an line nine as an example, parameters (traction and braking parameters, engineering configuration parameters and program configuration parameters) required by a engineering project of the xi' an line nine are changed through a traction calculation tool parameter change interface, and a simulation module performs traction calculation simulation analysis according to the input parameters and generates a train operation curve. The simulation run time and the field actual run time for each section are shown in tables 1 and 2, and the deviation between the simulation calculation time (unit: second) and the field actual run time (unit: second) can be controlled to be mostly within 4 seconds.
TABLE 1 comparison of simulation computation time with actual on-site run time TABLE I
| Scene | 01-15 station ascending direction | Simulated computation time | Actual runtime in the field | Deviation of |
| 1 | Weaving cheng-xiang wang | 158 | 161 | -3 |
| 2 | Xiangwang-dam willow two-way | 135 | 138 | -3 |
| 3 | Willow dam two-field king | 124.2 | 127 | -2.8 |
| 4 | Tianwang-hongqing | 142.2 | 144 | -1.8 |
| 5 | Hongqing-purple clouds three routes | 159.4 | 162 | -2.6 |
| 6 | Purple light clouds three-way-phoenix pond | 126 | 129 | -3 |
| 7 | Phoenix pool-parrot temple park | 127.8 | 130 | -2.2 |
| 8 | Parrot temple park-zhiyang square | 110.4 | 113 | -2.6 |
| 9 | Zhiyang plaza-xi engineering | 92.4 | 96 | -3.6 |
| 10 | West engineering big-west garden | 90.4 | 94 | -3.6 |
| 11 | Garden-Huaqing pool | 94 | 98 | -4 |
| 12 | Huaqing pond-Dong three branches | 119.6 | 122 | -2.4 |
| 13 | Dongsanxuan-silver bridge road | 92.8 | 97 | -4.2 |
| 14 | Yinjiao avenue-Qinling xi | 93.8 | 96 | -2.2 |
TABLE 2 comparison of simulation calculation time with actual field operation time TABLE II
| Scene | 01-15 station descending direction | Simulated computation time | Actual runtime in the field | Deviation of |
| 1 | Qinlingxi-Yinjiao avenue | 94.2 | 97 | -2.8 |
| 2 | Silver bridge road-east three-branch | 94 | 96 | -2 |
| 3 | Dongsanxue-huaqing pond | 119 | 120 | -1 |
| 4 | Huaqing pond-west garden | 93.6 | 97 | -3.4 |
| 5 | West garden-west engineering | 91 | 94 | -3 |
| 6 | Xijiengda zhiyang square | 92.6 | 95 | -2.4 |
| 7 | Zhiyang square-parrot temple park | 110.4 | 113 | -2.6 |
| 8 | Temple park-phoenix pool with parrot | 126.4 | 130 | -3.6 |
| 9 | Phoenix pool-purple clouds three routes | 124.4 | 129 | -4.6 |
| 10 | Purple clouds three routes-Hongqing | 157 | 161 | -4 |
| 11 | Hongqing-Tianwang | 142 | 145 | -3 |
| 12 | Tianwang-willow two way | 122 | 125 | -3 |
| 13 | Willow dam two way incense king | 132.6 | 136 | -3.4 |
| 14 | Xiangwang-weaving city | 157.4 | 159 | -1.6 |
The traction calculation simulation device provided by the invention is described below, and the traction calculation simulation device described below and the traction calculation simulation method described above can be referred to correspondingly.
Fig. 5 is a schematic structural diagram of a traction calculation simulation apparatus provided in the present invention. Based on the content of any of the above embodiments, as shown in fig. 5, the apparatus includes an obtaining module 501 and a simulation module 502, where:
an obtaining module 501, configured to obtain speed and position information of a target train and obtain characteristic data of a route in a target route;
the simulation module 502 is configured to perform traction calculation simulation on the target train according to the speed and position information of the target train, the characteristic data of the route in the target route, and the pre-obtained train control parameters of the train automatic driving system based on a train control algorithm of the train automatic driving system, and obtain a time-speed curve and train control level information of the target train running on the target route.
Specifically, the acquisition module 501 and the simulation module 502 may be electrically connected in sequence.
The obtaining module 501 may obtain the speed and the position information of the target train by at least one of a user input, a reading of the first target file, and a reading of data stored in the first target database.
The obtaining module 501 may obtain feature data of a route in the target line by at least one of user input, reading the second target file, and reading data stored in the second target database.
The simulation module 502 may perform traction calculation simulation based on the ATO train control algorithm according to the speed and position information of the target train, the characteristic data of the route in the target route, and the pre-obtained train control parameters of the train autopilot system, and calculate the time-speed curve and the train control level information of the target train running on the target route.
The simulation module 502 has the main functions of completing automatic operation control of the train, efficiently, economically and reasonably controlling traction, cruising, coasting, braking and stopping of the train according to the parameters and instructions input into the acquisition module 501, realizing the functions of automatic driving of the train, automatic adjustment of interval operation, accurate stopping, energy-saving control and the like, and ensuring that the requirements of design interval and travel speed are met.
Optionally, the obtaining module 501 may be further configured to obtain a train control parameter of the train automatic driving system.
The obtaining module 501 may include:
a first input unit for acquiring a first input of a user;
and the parameter acquisition unit is used for responding to the first input and acquiring the train control parameters of the train automatic driving system.
Optionally, the simulation module 502 may include:
the first acquisition unit is used for acquiring the train control level and the target speed of the target train at each target point on the target line according to the speed and position information of the target train, the characteristic data of the approach in the target line and the pre-acquired train control parameters of the automatic train driving system based on the train control algorithm of the automatic train driving system;
and the second acquisition unit is used for acquiring a time-speed curve and control level information of the target train running on the target line based on the control level and the target speed of the target train when the target train is positioned at each target point on the target line.
Optionally, the obtaining module 501 may include:
a second input unit for acquiring a second input of the user;
and the information acquisition unit is used for responding to the second input and acquiring the speed and position information of the target train.
Optionally, the obtaining module 501 may include:
a third input unit for acquiring a third input of the user;
and the data acquisition unit is used for responding to the third input and acquiring the characteristic data of the route in the target line.
Optionally, comprising: traction and braking parameters, engineering configuration parameters, program configuration parameters, and the like.
The traction calculation simulation device provided in the embodiment of the present invention is used for executing the traction calculation simulation method of the present invention, and an implementation manner of the traction calculation simulation device is consistent with an implementation manner of the traction calculation simulation method provided in the present invention, and may achieve the same beneficial effects, and details are not repeated here.
The traction calculation simulation device is used for the traction calculation simulation method of each embodiment. Therefore, the description and definition in the traction calculation simulation method in the foregoing embodiments can be used for understanding the execution modules in the embodiments of the present invention.
According to the embodiment of the invention, the ATO train control algorithm is applied to the traction calculation, so that the accuracy of the train operation curve obtained by simulation can be greatly improved, the time-speed curve simulated by simulation is almost the same as the actual engineering project, the error of interval operation time can be reduced to be within 3%, and the problems that the train operation curve obtained by a manual simulation mode is inconsistent and inaccurate with the field operation can be solved.
Fig. 6 is a schematic structural diagram of an electronic device provided in the present invention, and as shown in fig. 6, the electronic device may include: a processor (processor)610, a communication Interface (Communications Interface)620, a memory (memory)630 and a communication bus 640, wherein the processor 610, the communication Interface 620 and the memory 630 communicate with each other via the communication bus 640. The processor 610 may invoke logic instructions in the memory 630 to perform a tractional computational simulation method comprising: acquiring speed and position information of a target train and acquiring characteristic data of a route in a target route; based on the train control algorithm of the train automatic driving system, according to the speed and position information of the target train, the characteristic data of the approach in the target line and the pre-obtained train control parameters of the train automatic driving system, the traction calculation simulation is carried out on the target train, and the time-speed curve and the train control level information of the target train running on the target line are obtained.
In addition, the logic instructions in the memory 630 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The processor 610 in the electronic device provided in the embodiment of the present application may call the logic instruction in the memory 630, and an implementation manner of the processor is consistent with an implementation manner of the traction calculation simulation method provided in the present application, and the same beneficial effects may be achieved, and details are not described here.
In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the traction calculation simulation method provided by the above methods, the method comprising: acquiring speed and position information of a target train and acquiring characteristic data of a route in a target route; based on a train control algorithm of the train automatic driving system, according to the speed and position information of the target train, the characteristic data of the approach in the target line and the pre-obtained train control parameters of the train automatic driving system, the traction calculation simulation is carried out on the target train, and a time-speed curve and train control level information of the target train running on the target line are obtained.
When the computer program product provided in the embodiment of the present application is executed, the traction calculation simulation method is implemented, and a specific implementation manner of the method is consistent with the implementation manner described in the embodiment of the foregoing method, and the same beneficial effects can be achieved, which is not described herein again.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program that when executed by a processor is implemented to perform the traction calculation simulation methods provided above, the method comprising: acquiring speed and position information of a target train and acquiring characteristic data of a route in a target route; based on the train control algorithm of the train automatic driving system, according to the speed and position information of the target train, the characteristic data of the approach in the target line and the pre-obtained train control parameters of the train automatic driving system, the traction calculation simulation is carried out on the target train, and the time-speed curve and the train control level information of the target train running on the target line are obtained.
When a computer program stored on a non-transitory computer-readable storage medium provided in the embodiments of the present application is executed, the method for simulating a traction calculation is implemented, and a specific implementation manner of the method is consistent with the implementation manner described in the embodiments of the method, and the same beneficial effects can be achieved, which is not described herein again.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
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 of the various embodiments or some parts of the embodiments.
Finally, 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 (10)
1. A traction calculation simulation method, comprising:
acquiring speed and position information of a target train and acquiring characteristic data of a route in a target route;
and carrying out traction calculation simulation on the target train according to the speed and position information of the target train, the characteristic data of the route in the target route and the pre-obtained train control parameters of the automatic train driving system based on a train control algorithm of the automatic train driving system, and obtaining a time-speed curve and train control level information of the target train running on the target route.
2. The traction calculation simulation method according to claim 1, wherein before the train control algorithm based on the automatic train driving system performs traction calculation simulation on the target train according to the speed and position information of the target train, the characteristic data of the approach in the target route, and the pre-obtained train control parameters of the automatic train driving system to obtain the time-speed curve and the train control level information of the target train running on the target route, the method further comprises:
acquiring a first input of a user;
and responding to the first input, and acquiring the train control parameters of the automatic train driving system.
3. The traction calculation simulation method according to claim 1, wherein the train control algorithm based on the train automatic driving system performs traction calculation simulation on the target train according to the speed and position information of the target train, the characteristic data of the route in the target route, and the pre-obtained train control parameters of the train automatic driving system to obtain the time-speed curve and the train control level information of the target train running on the target route, and includes:
based on a train control algorithm of the train automatic driving system, acquiring a train control level and a target speed of the target train when the target train is positioned at each target point on the target line according to the speed and position information of the target train, the characteristic data of the route in the target line and a pre-acquired train control parameter of the train automatic driving system;
and acquiring a time-speed curve and train control level information of the target train running on the target line based on the train control level and the target speed of the target train when the target train is positioned at each target point on the target line.
4. The traction calculation simulation method according to any one of claims 1 to 3, wherein the acquiring speed and position information of the target train includes:
acquiring a second input of the user;
and responding to the second input, and acquiring the speed and position information of the target train.
5. The traction calculation simulation method according to any one of claims 1 to 3, wherein the acquiring characteristic data of the route in the target route includes:
acquiring a third input of the user;
and responding to the third input, and acquiring characteristic data of the route in the target route.
6. The traction calculation simulation method according to claim 1 or 2, wherein the train control parameters of the train automatic driving system comprise: traction and braking parameters, engineering configuration parameters, and program configuration parameters.
7. A traction calculation simulation apparatus, comprising:
the acquisition module is used for acquiring the speed and position information of the target train and acquiring characteristic data of a route in a target line;
and the simulation module is used for carrying out traction calculation simulation on the target train according to the speed and position information of the target train, the characteristic data of the route in the target route and the pre-obtained train control parameters of the automatic train driving system based on a train control algorithm of the automatic train driving system, and acquiring a time-speed curve and train control level information of the target train running on the target route.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the traction calculation simulation method according to any one of claims 1 to 6 when executing the program.
9. A non-transitory computer-readable storage medium on which a computer program is stored, wherein the computer program, when executed by a processor, implements the traction calculation simulation method according to any one of claims 1 to 6.
10. A computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements a traction calculation simulation method according to any one of claims 1 to 6.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102981408A (en) * | 2012-12-10 | 2013-03-20 | 华东交通大学 | Running process modeling and adaptive control method for motor train unit |
| KR101299526B1 (en) * | 2013-05-28 | 2013-08-23 | 한국철도공사 | System for train operation planning and method thereof |
| CN105243430A (en) * | 2015-09-07 | 2016-01-13 | 北京交通大学 | Train energy-saving operation target speed curve optimization method |
| CN105912815A (en) * | 2016-05-04 | 2016-08-31 | 中国铁道科学研究院通信信号研究所 | Model driving based city track traffic running simulation method and system |
| CN106777752A (en) * | 2016-12-30 | 2017-05-31 | 华东交通大学 | A kind of bullet train follows the trail of operation curve Optimal Setting method |
| CN107891887A (en) * | 2016-12-09 | 2018-04-10 | 比亚迪股份有限公司 | Train control method, TCMS, VOBC and train |
| CN109649417A (en) * | 2019-01-10 | 2019-04-19 | 北京交通大学 | A kind of municipal rail train traction energy consumption integrative simulation optimization system |
| CN113223365A (en) * | 2021-06-11 | 2021-08-06 | 成都运达科技股份有限公司 | Train driving simulation dynamic control method, system, terminal and medium |
| CN113401173A (en) * | 2021-06-28 | 2021-09-17 | 通号城市轨道交通技术有限公司 | Train operation control method and device, electronic equipment and storage medium |
| CN114104038A (en) * | 2020-08-28 | 2022-03-01 | 比亚迪股份有限公司 | Train control method, computer device and storage medium |
-
2022
- 2022-06-14 CN CN202210674702.2A patent/CN114919632A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102981408A (en) * | 2012-12-10 | 2013-03-20 | 华东交通大学 | Running process modeling and adaptive control method for motor train unit |
| KR101299526B1 (en) * | 2013-05-28 | 2013-08-23 | 한국철도공사 | System for train operation planning and method thereof |
| CN105243430A (en) * | 2015-09-07 | 2016-01-13 | 北京交通大学 | Train energy-saving operation target speed curve optimization method |
| CN105912815A (en) * | 2016-05-04 | 2016-08-31 | 中国铁道科学研究院通信信号研究所 | Model driving based city track traffic running simulation method and system |
| CN107891887A (en) * | 2016-12-09 | 2018-04-10 | 比亚迪股份有限公司 | Train control method, TCMS, VOBC and train |
| CN106777752A (en) * | 2016-12-30 | 2017-05-31 | 华东交通大学 | A kind of bullet train follows the trail of operation curve Optimal Setting method |
| CN109649417A (en) * | 2019-01-10 | 2019-04-19 | 北京交通大学 | A kind of municipal rail train traction energy consumption integrative simulation optimization system |
| CN114104038A (en) * | 2020-08-28 | 2022-03-01 | 比亚迪股份有限公司 | Train control method, computer device and storage medium |
| CN113223365A (en) * | 2021-06-11 | 2021-08-06 | 成都运达科技股份有限公司 | Train driving simulation dynamic control method, system, terminal and medium |
| CN113401173A (en) * | 2021-06-28 | 2021-09-17 | 通号城市轨道交通技术有限公司 | Train operation control method and device, electronic equipment and storage medium |
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