CN106379378B - A kind of offline and online method and system for combining adjustment and driving curve - Google Patents

A kind of offline and online method and system for combining adjustment and driving curve Download PDF

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Publication number
CN106379378B
CN106379378B CN201610814700.3A CN201610814700A CN106379378B CN 106379378 B CN106379378 B CN 106379378B CN 201610814700 A CN201610814700 A CN 201610814700A CN 106379378 B CN106379378 B CN 106379378B
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adjustment
section
train
driving curve
offline
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CN106379378A (en
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董海荣
朱海楠
高士根
孙绪彬
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Beijing Jiaotong University
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Beijing Jiaotong University
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
    • B61L27/10Operations, e.g. scheduling or time tables

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Train Traffic Observation, Control, And Security (AREA)

Abstract

The embodiments of the invention provide a kind of offline and online method and system for combining adjustment and driving curve.Adjustment starting point is subjected to interval division according to distance between train terminal, the speed limit of train and the gradient in each section is kept identical;Wherein, determine that train adjusts starting point according to the initial driving curve before train on-line operation data and adjustment;Adjustment section is chosen in the section;Using the hauling distance in default hauling distance adjustment amount adjustment renewal this adjustment section;Based on the driving curve of last time, this driving curve adjusted is obtained according to this hauling distance in the adjustment section.The present embodiment will obtain the driving curve of adjustment after online acquisition train current operating conditions information after the method processed offline that the present embodiment provides at a certain time interval in train travelling process, meet the safety in train travelling process, accurately drive curve with offer under power conservation requirement on schedule for driver's reference, save online resource.

Description

A kind of offline and online method and system for combining adjustment and driving curve
Technical field
The present invention relates to communication technical field, more particularly to it is a kind of offline and it is online combine adjustment drive curve method and System.
Background technology
Railway traffic system carries big as the means of transportation that a kind of conevying efficiency is higher, unit cost is relatively low The vital task of passenger and cargo transport is measured, is the main artery of the national economic development.The transportation of railway passenger transport system is main It is mutual between each level comprising referring to three levels of operation curve and train handling methods between starting plan and timetable, stand It is engaged, conditions each other, together form the operation behavior of train.China it is with a vast territory, main line passenger train over long distances In running, line condition, surrounding enviroment and train characteristic are likely to change.In prior layout service chart and determination Between train station operation manipulate reference policy when, its situation about being considered may and physical presence deviation.Train operator is as train Control main body in running, the process of the driving task of train is completed in the signal and instruction issued according to control centre In, the driving strategy and operation of train can also be gone in the process of running according to the service condition of reality and the driving experience of itself To make the adjustment of part, and these adjust as caused by driver driving behavior and will directly affect service time, the energy of train The key indexs such as consumption.
Main line railway traffic system is more to be used as main train using semaphore block system (semiautomatic block, automatically closing up) Control device.But for train handling, it is far from being enough, train department to only know that whether front section can enter Machine easily causes the incorrect judgement to train operation condition to the grasp deficiency of train operation real time information and state and adopted Inappropriate riding manipulation behavior is taken, and then causes the decline of train entirety quantity of operation.Train DAS (Driver Assistant System) (DAS: Driver Advisory System) it is exactly to arise at the historic moment in this context, in conventional train DAS (Driver Assistant System), Conventional driving curve method of adjustment be conventionally based in real time collection real-time online calculate adjustment, such scheme in the application compared with To waste real-time online resource.
The content of the invention
The embodiment provides a kind of offline and online method for combining adjustment and driving curve, the present invention provides such as Lower scheme:
Adjustment starting point is subjected to interval division between train terminal according to distance, make in each section the speed limit of train and The gradient keeps identical;Wherein, determine that train adjusts starting point according to the initial driving curve before train on-line operation data and adjustment;
Adjustment section is chosen in the section;
Using the hauling distance in default hauling distance adjustment amount adjustment renewal this adjustment section;
Based on the driving curve of last time, driving for this adjustment is obtained according to this hauling distance in the adjustment section Sail curve.
According to the above method of the present invention, including:
Driving curve based on this adjustment judges whether time deviation to be adjusted eliminates;Wherein, before based on adjustment The initial curve that drives calculates the time deviation to be adjusted;
If not eliminating,
Adjustment section is chosen in the section;
Using the hauling distance in default hauling distance adjustment amount adjustment renewal this adjustment section;
Based on the driving curve of last time, driving for this adjustment is obtained according to this hauling distance in the adjustment section Sail curve;
If eliminating, stop described in execution
Adjustment section is chosen in the section;
Using the hauling distance in default hauling distance adjustment amount adjustment renewal this adjustment section;
Based on the driving curve of last time, driving for this adjustment is obtained according to this hauling distance in the adjustment section Sail curve.
According to the above method of the present invention, the initial driving curve based on before adjustment calculates the time to be adjusted Deviation, including:Based on the real-time speed that the starting point in each adjustment section in section is adjusted corresponding to the initial driving curve before adjustment The real-time speed of the estimated speed of the end in degree and adjustment section point and the end point in adjustment section calculates time deviation to be adjusted.
It is described true according to the initial driving curve before train on-line operation data and adjustment according to the above method of the present invention Determine train adjustment position starting point, including:
According to the train real time position and real-time speed of train on-line operation data acquisition;
The offline speed of the current location indexed in the driving curve adjusted offline;
When deviation occurs for real-time speed and offline speed, deviation is occurred with the real-time speed and the offline speed Position is that train adjusts starting point.
It is described to adjust using default hauling distance adjustment amount and update the adjustment area according to the above method of the present invention Between hauling distance, including:
The adjustment section is set to be used as tune this described using the difference of its hauling distance and default hauling distance adjustment amount Hauling distance between main plot.
According to the above method of the present invention, described chosen in the section adjusts section, including:
The maximum section of reference index is chosen in the section as first adjustment section, wherein, calculate each section Hauling distance and each section energy consumption ratio alternatively first adjustment section reference index;And
Based on this adjustment total energy consumption of this driving curve acquisition;
Selection makes this adjustment total energy consumption with the last difference maximum section for adjusting total energy consumption as non-first adjustment area Between.
According to another aspect of the present invention, a kind of offline and online system for combining adjustment and driving curve is also provided, including:
Division module:For adjustment starting point to be carried out into interval division according to distance between train terminal, make each section The speed limit and the gradient of interior train keep identical;Wherein, it is true according to the initial driving curve before train on-line operation data and adjustment Determine train adjustment starting point;
Choose module:For choosing adjustment section in the section;
Adjusting module:For the traction using default hauling distance adjustment amount adjustment renewal this adjustment section away from From;
Acquisition module:For the driving curve based on the last time, obtained according to this hauling distance in the adjustment section The driving curve for taking this to adjust.
According to another aspect of the present invention, including:
Judge module:Driving curve for being adjusted based on this judges whether time deviation to be adjusted eliminates;Wherein, The time deviation to be adjusted is calculated based on the initial driving curve before adjustment;
If not eliminating,
Adjustment section is chosen in the section;
Using the hauling distance in default hauling distance adjustment amount adjustment renewal this adjustment section;
Based on the driving curve of last time, driving for this adjustment is obtained according to this hauling distance in the adjustment section Sail curve;
If eliminating, stop described in execution
Adjustment section is chosen in the section;
Using the hauling distance in default hauling distance adjustment amount adjustment renewal this adjustment section;
Based on the driving curve of last time, driving for this adjustment is obtained according to this hauling distance in the adjustment section Sail curve.
According to another aspect of the present invention, the judge module is specifically used for corresponding based on the initial driving curve before adjustment Adjustment section in each adjustment section starting point real-time speed and adjustment section end point estimated speed and adjust section The real-time speed of end point calculate time deviation to be adjusted.
According to another aspect of the present invention, the division module is specifically used for,
According to the train real time position and real-time speed of train on-line operation data acquisition;
The offline speed of the current location indexed in the driving curve adjusted offline;
When deviation occurs for real-time speed and offline speed, deviation is occurred with the real-time speed and the offline speed Position is that train adjusts starting point.
According to another aspect of the present invention, the adjusting module is specifically used for,
The adjustment section is set to be used as tune this described using the difference of its hauling distance and default hauling distance adjustment amount Hauling distance between main plot.
According to another aspect of the present invention, the selection module is specifically used for,
The maximum section of reference index is chosen in the section as first adjustment section, wherein, calculate each section Hauling distance and each section energy consumption ratio alternatively first adjustment section reference index;And
Based on this adjustment total energy consumption of this driving curve acquisition;
Selection makes this adjustment total energy consumption with the last difference maximum section for adjusting total energy consumption as non-first adjustment area Between.It is whole to train will to adjust starting point for the embodiment of the present invention it can be seen from the technical scheme provided by embodiments of the invention described above Interval division is carried out according to distance between point, the speed limit of train and the gradient in each section is kept identical;Wherein, according to train Initial driving curve before on-line operation data and adjustment determines that train adjusts starting point;Adjustment section is chosen in the section; Using the hauling distance in default hauling distance adjustment amount adjustment renewal this adjustment section;Driving based on the last time is bent Line, the driving curve of this adjustment is obtained according to this hauling distance in the adjustment section.The present embodiment will be transported in train The method provided at a certain time interval by the present embodiment after online acquisition train current operating conditions information during row The driving curve of adjustment is obtained after processed offline, can in the safety in meeting train travelling process, on schedule with power conservation requirement There is provided and accurately drive curve for driver's reference, save online resource.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, required use in being described below to embodiment Accompanying drawing be briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for this For the those of ordinary skill of field, without having to pay creative labor, other can also be obtained according to these accompanying drawings Accompanying drawing.
Fig. 1 is a kind of offline and online processing stream for combining adjustment and driving the method for curve that the embodiment of the present invention one provides Cheng Tu;
Fig. 2 is the method that a kind of selection that inventive embodiments one provide adjusts section;
Fig. 3 is a kind of offline and online processing stream for combining adjustment and driving the method for curve that the embodiment of the present invention two provides Cheng Tu;
Fig. 4 is a kind of offline and online system module for combining adjustment and driving curve system that the embodiment of the present invention three provides Figure.
Embodiment
For ease of the understanding to the embodiment of the present invention, done further by taking several specific embodiments as an example below in conjunction with accompanying drawing Explanation, and each embodiment does not form the restriction to the embodiment of the present invention.
Embodiment one
In the present embodiment, it is necessary to pre-establish the computation model of train driving curve, including:
Establish the motion expression formula during train operation;Wherein, according to locomotive quality, compartment quality and passenger mass Mass equation is established, the resistance equation according to suffered by Davis's equation and train speed establish train, is established with reference to train position Component equation of the train gravity in train line direction;According to stress of the train on line direction and establish acceleration equation;
Discrete processes are done in basic operation based on speed, distance respectively, obtain the iterative relation expression formula of train power consumption;
Iteration tabular form based on the motion expression formula and train power consumption establishes energy conservation object function, wherein according to reality The distance planning of train establishes constraints to the speed of train, distance, run time, gear.
Specifically, the computation model of train driving curve is based on classical Newtonian mechanics formula:
M=ML+∑MT+∑MP
R (v)=ML*wl(v)+wT(v)*∑(MP+MT)
Wherein, a be each power suffered by train and acceleration;F is the train related to train traction gear and present speed Maximum drawbar pull;B is the train maximum drawbar pull related to train braking gear and present speed;G is the weight related to position Component of the power on line direction;R is datum drag suffered by train, specifically and velocity correlation, is provided by Davis's equation;M is Train gross mass, summed by locomotive quality, compartment quality and passenger mass three parts and obtained;L is train length;G is before the gradient Indexing;RiFor turning radius.Change working of the train in each section is traction-coasting pair or coasting-braking to forming.
Wherein, the iterative relation of intermediate variable is kinematic relation formula:
vi+1=vi+ai*Δt
Ei+1=Ei+F(ci, vi)*si
Energy conservation object function is:
Corresponding restrictive condition is:
Constraint of velocity:0≤vi≤min(vmax_s, vmax_d)
Distance restraint:s0=0, sn=S, 0≤si≤S
Run time constrains:t0=0, tn=T, 0≤t≤T
Gear constrains:cmin≤ci≤cmax, c ∈ Z
Computation model and each iterative relation calculated between point based on train driving curve, obtain train driving curve; Train driving curve is provided in the form of distance-speed point set, it is assumed that, can under the premise of only once operating mode switches in each section To be uniquely determined by the hauling distance in each section with gear, that is, input hauling distance of the train in each section, you can by upper State computational methods and draw train driving curve between whole station., can be true in the case of given section initial velocity and hauling distance Determine operating mode switching point position, and then determine the train driving curve in section.That is, operation curve of the train between whole station can be by One group of { hauling distance, drawing gear } numerical value uniquely determines.
This embodiment offers a kind of offline and online handling process such as Fig. 1 institutes for combining adjustment and driving the method for curve Show, including following processing step:
Step 11, will adjustment starting point between train terminal according to distance carry out interval division, make train in each section Speed limit and the gradient keep it is identical;Wherein, train is determined according to the initial driving curve before train on-line operation data and adjustment Adjust starting point;Recently a latest update is driven into curve as the initial driving song before the adjustment described in the present embodiment Line.
Specifically, in the present embodiment, section is divided according to the gradient and speed-limiting messages, as long as the gradient and speed limit have one Change, then need to be divided into a new section.As shown in Figure 2, in figure above horizontal line segment description speed limit it is each Section, each section of the horizontal line segment description gradient below, dotted line draw for each section;The distance in each section is actually It is the maximum of hauling distance in the section, is adjustment using adjustment amount adjustment hauling distance in following sections for adjustment The actual hauling distance in the section.
Step 12, adjustment section is chosen in the section;
Step 13, the hauling distance using default hauling distance adjustment amount adjustment renewal this adjustment section;This In embodiment, this institute is used as using the difference of hauling distance and default hauling distance adjustment amount before the adjustment of the adjustment section State the hauling distance in adjustment section.Wherein, default hauling distance adjustment amount is according to one set by practical operation situation Adjustment amount, the adjustment amount are less than the hauling distance in each adjustment section.
Step 14, the driving curve based on the last time, this is obtained according to this hauling distance in the adjustment section The driving curve of adjustment.
Embodiment two
In the present embodiment, it is still desirable to pre-establish the computation model of train driving curve, its specifically establish process with It is identical in embodiment one, seldom repeat herein;
This embodiment offers a kind of offline and online handling process such as Fig. 3 institutes for combining adjustment and driving the method for curve Show, including following processing step:
Step 21, will adjustment starting point between train terminal according to distance carry out interval division, make train in each section Speed limit and the gradient keep it is identical;Wherein, train is determined according to the initial driving curve before train on-line operation data and adjustment Adjust starting point;Recently a latest update is driven into curve as the initial driving song before the adjustment described in the present embodiment Line.Specifically, in the present embodiment, section is divided according to the gradient and speed-limiting messages, as long as the gradient and speed limit have a change , then need to be divided into a new section.As shown in Figure 2, in figure above horizontal line segment description speed limit each section, Each section of the following horizontal line segment description gradient, dotted line draw for each section;The distance in each section is actually should The maximum of hauling distance in section, it is following for adjusting using adjustment amount adjustment hauling distance in sections, it is the area adjusted Between actual hauling distance.
The initial driving curve according to before train on-line operation data and adjustment determines train adjustment position starting point, wraps Include:
According to the train real time position and real-time speed of train on-line operation data acquisition;
The offline speed of the current location indexed in the driving curve adjusted offline;
When deviation occurs for real-time speed and offline speed, deviation is occurred with the real-time speed and the offline speed Position is that train adjusts starting point.
Step 22, time deviation to be adjusted is calculated based on the initial driving curve before adjustment;
Specifically, based on the reality that the starting point in each adjustment section in section is adjusted corresponding to the initial driving curve before adjustment It is inclined that the real-time speed of the estimated speed of the end in Shi Sudu and adjustment section point and the end point in adjustment section calculates the time to be adjusted Difference;
For each adjustment section because when deviation occurs for real-time speed and offline speed, with the real-time speed with The position that deviation occurs for the offline speed adjusts starting point for train;The starting point of now train adjustment must be in a section Point, setting train are as adjustment starting point, initial real-time speed from i-th point of the starting point in n-th sectionTrain is The last point i+1 points in N number of section it is expected that speed beBut after there is deviation, last point of the train in n-th section I+1 point real-time speeds are
So for n-th section,
It is as adjustment starting point, initial real-time speed from the starting point i+1 point in the N+1 sectionRow Car n-th section last point i+2 points it is expected that speed beBut after there is deviation, train is in n-th section Last point i+1 point real-time speeds be
For the N+1 section,
By that analogy, section M is adjusted to last one,
For time deviation Δ T=Δs T (N) to be adjusted+Δ T (N+1)+...+Δ T (N+M);
Step 203, first adjustment section is chosen in the section;
In the selection in adjustment section, adjustment is required for saving to greatest extent each time in principle, in actual applications, The selection in first adjustment section is different with the system of selection in non-first adjustment section;
During selection for first adjustment section, using the hauling distance and each area for calculating each section in the present embodiment Between energy consumption ratio alternatively it is first adjustment section reference index;The reference index is used to that energy-saving effect can be reflected, Therefore the maximum section of energy-saving effect is chosen as the section for first adjustment according to this reference index.
The maximum section of reference index is chosen in the section as first adjustment section;
After first adjustment interval selection;
Step 24, based on initial curve is driven, obtained according to the hauling distance first in the adjustment section and adjusted first Driving curve;Hauling distance first using the hauling distance in the first adjustment section after adjustment as adjustment section, according to The hauling distance first in adjustment section obtains the driving curve adjusted first;
Step 25, based on the driving curve adjusted first judge whether time deviation to be adjusted eliminates;
After adjusting first, setting train is used as adjustment starting point, initial real-time speed from i-th point of the starting point in n-th section ForTrain n-th section last point i+1 points it is expected that speed beBut after there is deviation, train Last point i+1 point real-time speeds in n-th section are
So for n-th section,
It is as adjustment starting point, initial real-time speed from the starting point i+1 point in the N+1 sectionRow Car n-th section last point i+2 points it is expected that speed beBut after there is deviation, train is in n-th section Last point i+1 point real-time speeds be
For the N+1 section,
By that analogy, section M is adjusted to last one,
ΔT1=Δ T1(N)+ΔT1(N+1)+…+ΔT1(N+M);
Judge whether time deviation to be adjusted eliminates, that is, judge Δ T1Whether it is equal to 0, if equal to 0, proves to be adjusted Time deviation eliminated, if not equal to 0, time deviation to be adjusted also needs to continue to adjust;Then repeat under execution Step 23 is stated to step 25;
Step 23 is performed again, non-first adjustment section is chosen in the section;
During selection adjustment section, in addition to first adjustment section, selection makes this (for the second time) adjustment total energy consumption and upper one The difference maximum section of secondary adjustment total energy consumption is as non-first adjustment section;Wherein, curve is driven based on this (for the second time) to obtain This is taken to adjust total energy consumption;The difference of this (for the second time) adjustment total energy consumption and last adjustment total energy consumption changes for this energy consumption Amount.
Now, to all sections in addition to first adjustment section, a pre-computation is carried out, it is assumed that to each section For pre-adjustment section when, adjusted using default hauling distance adjustment amount and update the hauling distance in the pre-adjustment section;It is based on The adjustment that the driving curve adjusted first can obtain each pre-adjustment section drives curve, respectively for each pre-adjustment section All obtain this pre-adjustment total energy consumption Ei;(last time) adjusts driving curve acquisition based on (last time) first adjustment first Adjustment total energy consumption E;Compare each pre-adjustment section and obtain this pre-adjustment total energy consumption EiWith (last time) first adjustment Adjust total energy consumption E difference DELTA Ei,
ΔEi=Ei-E;I represents the numbering in each pre-adjustment section;In operation result Δ EiThe maximum Δ E of middle selection is corresponding Pre-adjustment section as this adjustment section.
Step 24, the driving curve based on last (first) adjustment, according to the non-first adjustment section this (the It is secondary) hauling distance obtain this (for the second time) adjustment driving curve;Using the adjustment of default hauling distance adjustment amount simultaneously Update this hauling distance for adjusting section (for the second time);In the present embodiment, with the traction before the adjustment of the adjustment section The difference of distance and default hauling distance adjustment amount is as the hauling distance that section is adjusted this described.Wherein, it is default to lead It is to be less than leading for each adjustment section according to an adjustment amount set by practical operation situation, the adjustment amount to draw apart from adjustment amount Draw distance.
Step 25, judge whether this time total amount to be adjusted after adjusting eliminates;
After this (for the second time) adjustment, setting train is used as adjustment starting point from i-th point of the starting point in n-th section, initially Real-time speed isTrain n-th section last point i+1 points it is expected that speed beBut occur inclined After difference, last point i+1 point real-time speed of the train in n-th section is
So for n-th section,
It is as adjustment starting point, initial real-time speed from the starting point i+1 point in the N+1 sectionRow Car n-th section last point i+2 points it is expected that speed beBut after there is deviation, train is in n-th section Last point i+1 point real-time speeds be
For the N+1 section,
By that analogy, section M is adjusted to last one,
ΔT2=Δ T2(N)+ΔT2(N+1)+…+ΔT2(N+M);
Judge whether time deviation to be adjusted eliminates, that is, judge Δ T2Whether it is equal to 0, if equal to 0, proves to be adjusted Time deviation eliminated, then stop performing step 23 to step 25;
If not equal to 0, time deviation to be adjusted also needs to continue to adjust;Then repeat and perform step 23 to step 25。
Embodiment two
This embodiment offers a kind of offline and online system for combining adjustment and driving curve, it implements structure as schemed Shown in 4, it can specifically include following module:
Division module 31:For adjustment starting point to be carried out into interval division according to distance between train terminal, make each area The speed limit and the gradient of interior train keep identical;Wherein, according to the initial driving curve before train on-line operation data and adjustment Determine that train adjusts starting point;
Choose module 32:For choosing adjustment section in the section;
Adjusting module 33:For the traction using default hauling distance adjustment amount adjustment renewal this adjustment section Distance;
Acquisition module 34:For the driving curve based on the last time, according to this hauling distance in the adjustment section Obtain the driving curve of this adjustment.
13rd, the according to claim 7 a kind of offline and online system for combining adjustment and driving curve, its feature exist In, including:
Judge module 35:Driving curve for being adjusted based on this judges whether time deviation to be adjusted eliminates;Its In, the time deviation to be adjusted is calculated based on the initial driving curve before adjustment;
If not eliminating,
Adjustment section is chosen in the section;
Using the hauling distance in default hauling distance adjustment amount adjustment renewal this adjustment section;
Based on the driving curve of last time, driving for this adjustment is obtained according to this hauling distance in the adjustment section Sail curve;
If eliminating, stop described in execution
Adjustment section is chosen in the section;
Using the hauling distance in default hauling distance adjustment amount adjustment renewal this adjustment section;
Based on the driving curve of last time, driving for this adjustment is obtained according to this hauling distance in the adjustment section Sail curve.
The judge module 35 be specifically used for based on corresponding to the initial driving curve before adjustment adjust section in each adjust The real-time speed meter of the end point of the estimated speed and adjustment section of the real-time speed of starting point between main plot and the end point in adjustment section Time deviation to be adjusted.
The division module 31 is specifically used for,
According to the train real time position and real-time speed of train on-line operation data acquisition;
The offline speed of the current location indexed in the driving curve adjusted offline;
When deviation occurs for real-time speed and offline speed, deviation is occurred with the real-time speed and the offline speed Position is that train adjusts starting point.
Adjusting module 33 is specifically used for,
The adjustment section is set to be used as tune this described using the difference of its hauling distance and default hauling distance adjustment amount Hauling distance between main plot.
Module 32 is chosen to be specifically used for,
The maximum section of reference index is chosen in the section as first adjustment section, wherein, calculate each section Hauling distance and each section energy consumption ratio alternatively first adjustment section reference index;And
Based on this adjustment total energy consumption of this driving curve acquisition;
Selection makes this adjustment total energy consumption with the last difference maximum section for adjusting total energy consumption as non-first adjustment area Between.The offline and online detailed process for combining adjustment driving curve is carried out with the system of the embodiment of the present invention with preceding method to implement Example is similar, and here is omitted.
In summary, the embodiment of the present invention according to distance between train terminal by adjustment starting point by carrying out section stroke Point, the speed limit of train and the gradient in each section is kept identical;Wherein, according to first before train on-line operation data and adjustment Beginning drives curve and determines that train adjusts starting point;Adjustment section is chosen in the section;Using default hauling distance adjustment amount The hauling distance in adjustment renewal this adjustment section;Based on the driving curve of last time, according to the sheet in the adjustment section Secondary hauling distance obtains the driving curve of this adjustment.The present embodiment will be in train travelling process at a certain time interval The driving of adjustment is obtained after online acquisition train current operating conditions information after the method processed offline that the present embodiment provides Curve, it can accurately drive curve confession in the safety in meeting train travelling process, on schedule with offer under power conservation requirement Driver refers to, and saves online resource.One of ordinary skill in the art will appreciate that:Accompanying drawing is the signal of one embodiment Scheme, the module or flow in accompanying drawing are not necessarily implemented necessary to the present invention.
As seen through the above description of the embodiments, those skilled in the art can be understood that the present invention can Realized by the mode of software plus required general hardware platform.Based on such understanding, technical scheme essence On the part that is contributed in other words to prior art can be embodied in the form of software product, the computer software product It can be stored in storage medium, such as ROM/RAM, magnetic disc, CD, including some instructions are causing a computer equipment (can be personal computer, server, either network equipment etc.) performs some of each embodiment of the present invention or embodiment Method described in part.
Each embodiment in this specification is described by the way of progressive, identical similar portion between each embodiment Divide mutually referring to what each embodiment stressed is the difference with other embodiment.Especially for device or For system embodiment, because it is substantially similar to embodiment of the method, so describing fairly simple, related part is referring to method The part explanation of embodiment.Apparatus and system embodiment described above is only schematical, wherein the conduct The unit that separating component illustrates can be or may not be it is physically separate, can be as the part that unit is shown or Person may not be physical location, you can with positioned at a place, or can also be distributed on multiple NEs.Can root Factually border needs to select some or all of module therein realize the purpose of this embodiment scheme.Ordinary skill Personnel are without creative efforts, you can to understand and implement.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto, Any one skilled in the art the invention discloses technical scope in, the change or replacement that can readily occur in, It should all be included within the scope of the present invention.Therefore, protection scope of the present invention should be with scope of the claims It is defined.

Claims (8)

1. a kind of offline and online method for combining adjustment and driving curve, it is characterised in that including:
Adjustment starting point is subjected to interval division according to distance between train terminal, makes the speed limit and the gradient of train in each section Keep identical;Wherein, determine that train adjusts starting point according to the initial driving curve before train on-line operation data and adjustment;
Adjustment section is chosen in the section;
Using the hauling distance in this adjustment section of default hauling distance adjustment amount adjustment renewal;
Based on the driving curve of last time, the driving that this adjustment is obtained according to this hauling distance in the adjustment section is bent Line;
Driving curve based on this adjustment judges whether time deviation to be adjusted eliminates;Wherein, based on initial before adjustment Drive curve and calculate the time deviation to be adjusted, it is each in section based on being adjusted corresponding to the initial driving curve before adjustment Adjust the real-time speed of the estimated speed of the real-time speed of the starting point in section and the end point in adjustment section and the end point in adjustment section Calculate time deviation to be adjusted;If time deviation to be adjusted does not eliminate, adjustment section is chosen in the section, is used The hauling distance in default hauling distance adjustment amount adjustment renewal this adjustment section, based on the driving curve of last time, The driving curve of this adjustment is obtained according to this hauling distance in the adjustment section;If time deviation to be adjusted disappears Remove, then stop performing the selection adjustment section in the section, renewal institute is adjusted using default hauling distance adjustment amount State this adjustment section hauling distance, based on last time driving curve, according to it is described adjustment section this traction away from From the driving curve for obtaining this adjustment.
2. the according to claim 1 a kind of offline and online method for combining adjustment and driving curve, it is characterised in that described Train adjustment position starting point is determined according to the initial driving curve before train on-line operation data and adjustment, including:
According to the train real time position and real-time speed of train on-line operation data acquisition;
The offline speed of the current location indexed in the driving curve adjusted offline;
When deviation occurs for real-time speed and offline speed, the position of deviation occurs with the real-time speed and the offline speed Starting point is adjusted for train.
3. the according to claim 2 a kind of offline and online method for combining adjustment and driving curve, it is characterised in that described Using the hauling distance in this adjustment section of default hauling distance adjustment amount adjustment renewal, including:Make it is described adjustment section with The difference of its hauling distance and default hauling distance adjustment amount is as the hauling distance that section is adjusted this described.
4. the according to claim 3 a kind of offline and online method for combining adjustment and driving curve, it is characterised in that described Adjustment section is chosen in the section, including:
The maximum section of reference index is chosen in the section as first adjustment section, wherein, calculate leading for each section Draw the reference index in the ratio of distance and each section energy consumption alternatively first adjustment section;And
Based on this adjustment total energy consumption of this driving curve acquisition;
Selection makes this adjustment total energy consumption with the last difference maximum section for adjusting total energy consumption as non-first adjustment section.
5. a kind of offline and online system for combining adjustment and driving curve, it is characterised in that including:
Division module:For adjustment starting point to be carried out into interval division according to distance between train terminal, make to arrange in each section The speed limit and the gradient of car keep identical;Wherein, row are determined according to the initial driving curve before train on-line operation data and adjustment Car adjusts starting point;
Choose module:For choosing adjustment section in the section;
Adjusting module:For the hauling distance using this adjustment section of default hauling distance adjustment amount adjustment renewal;
Acquisition module:For the driving curve based on the last time, this is obtained according to this hauling distance in the adjustment section The driving curve of secondary adjustment;
Judge module:Driving curve for being adjusted based on this judges whether time deviation to be adjusted eliminates;Wherein, it is based on Initial driving curve before adjustment calculates the time deviation to be adjusted;For corresponding based on the initial driving curve before adjustment Adjustment section in each adjustment section starting point real-time speed and adjustment section end point estimated speed and adjust section The real-time speed of end point calculate time deviation to be adjusted;If time deviation to be adjusted does not eliminate, in the section Adjustment section is chosen, using the hauling distance in default hauling distance adjustment amount adjustment renewal this adjustment section, is based on Last driving curve, the driving curve of this adjustment is obtained according to this hauling distance in the adjustment section;If treat The time deviation of adjustment eliminates, then stops performing the selection adjustment section in the section, using default hauling distance The hauling distance in adjustment amount adjustment renewal this adjustment section, based on the driving curve of last time, according to the adjustment area Between this hauling distance obtain this adjustment driving curve.
6. the according to claim 5 a kind of offline and online system for combining adjustment and driving curve, it is characterised in that described Division module is specifically used for,
According to the train real time position and real-time speed of train on-line operation data acquisition;
The offline speed of the current location indexed in the driving curve adjusted offline;
When deviation occurs for real-time speed and offline speed, the position of deviation occurs with the real-time speed and the offline speed Starting point is adjusted for train.
7. the according to claim 6 a kind of offline and online system for combining adjustment and driving curve, it is characterised in that described Adjusting module is specifically used for, and the adjustment section is used as this using the difference of its hauling distance and default hauling distance adjustment amount The hauling distance in the secondary adjustment section.
8. the according to claim 7 a kind of offline and online system for combining adjustment and driving curve, it is characterised in that described Module is chosen to be specifically used for,
The maximum section of reference index is chosen in the section as first adjustment section, wherein, calculate leading for each section Draw the reference index in the ratio of distance and each section energy consumption alternatively first adjustment section;And
Based on this adjustment total energy consumption of this driving curve acquisition;
Selection makes this adjustment total energy consumption with the last difference maximum section for adjusting total energy consumption as non-first adjustment section.
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JP6559913B2 (en) * 2017-04-17 2019-08-14 株式会社東芝 Non-occlusive interval calculation system
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CN112158238B (en) * 2020-10-28 2022-05-24 重庆交通大学 Train automatic driving curve generation method based on target and passenger flow difference
CN112224244B (en) * 2020-10-28 2022-08-26 重庆交通大学 High-speed train automatic driving curve generation method based on temperature and load conditions
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US8838304B2 (en) * 2012-06-29 2014-09-16 Mitsubishi Electric Research Laboratories, Inc Method for determining run-curves for vehicles based on travel time
CN105607598A (en) * 2016-01-12 2016-05-25 北京交通大学 Driver advisory system and method for train
CN105785795B (en) * 2016-05-05 2018-11-23 北京交通大学 A kind of train running speed curve energy conservation optimizing method based on particle swarm algorithm

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