CN-122009290-A - Train operation control method and device and train
Abstract
The disclosure provides a train operation control method, equipment and a train, and can be applied to the technical field of train operation control. The method comprises the steps of responding to the current track adhesion coefficient of a target section, carrying out adjustment evaluation on a current train operation plan of a target line comprising the target section based on the current track adhesion grade and the historical track adhesion grade corresponding to the track adhesion coefficient to obtain an evaluation result, adjusting the current train operation plan based on operation data and adjustment strategies of a plurality of trains operated on the target line under the condition that the current train operation plan is determined to be adjusted to obtain a candidate train operation plan, and checking the candidate train operation plan based on passenger flow data of each station of a target line path in the current period and respective braking distance constraint of the plurality of trains determined by the current track adhesion coefficient so as to update the current train operation plan into the candidate train operation plan under the condition that the check passes.
Inventors
- MA CHAO
- LIU JUNCHEN
- WANG ZHENXIAN
- WANG FENGCHAO
- LIU SHUHUI
Assignees
- 中车青岛四方机车车辆股份有限公司
Dates
- Publication Date
- 20260512
- Application Date
- 20260323
Claims (16)
- 1.A train operation control method, comprising: In response to receiving a current track adhesion coefficient of a target section, performing adjustment evaluation of a current train operation plan on a target line comprising the target section based on a current track adhesion level corresponding to the track adhesion coefficient and a historical track adhesion level of the target section, and obtaining an evaluation result; Under the condition that the evaluation result represents that the current train operation plan needs to be adjusted, the current train operation plan is adjusted based on the respective operation data of a plurality of trains operated on the target line and an adjustment strategy adapting to the current track adhesion level, so that a candidate train operation plan is obtained; and verifying the candidate train operation plan based on passenger flow data of each station of the target route in the current period and respective braking distance constraints of a plurality of trains determined by the current track adhesion coefficient, so as to update the current train operation plan into the candidate train operation plan under the condition that verification passes.
- 2. The method of claim 1, wherein the candidate train operation plan includes a plurality of stops at which the train is stopped during traveling and a plurality of speeds at which the train travels in a plurality of the sections included in the target line; Wherein verifying the candidate train operation plan based on passenger flow data of each station of the target route in a current period and respective braking distance constraints of a plurality of trains determined by the current track adhesion coefficient includes: determining a predicted load factor of a plurality of trains when each section runs based on passenger flow data of each station of the target route in a current period and stations where the plurality of trains stop in the running process; Determining a predicted braking distance of each train when each section runs by using the predicted load factor of each train when each section runs and the speed of each train when each section runs; And obtaining a verification result of the candidate train operation plan through a first comparison result of each predicted load factor and a preset load threshold value and a second comparison result of each predicted braking distance and a corresponding braking distance constraint.
- 3. The method of claim 2, wherein the determining a predicted load factor of the plurality of trains while traveling in each of the sections based on passenger flow data of each station of the target route at a current time period and a station where the plurality of trains are parked during traveling comprises: For each train, analyzing the passenger flow data of each station in the current period by using the passenger flow data of the historical period to obtain the passenger flow data of each station at the stopping time of the train; and determining the predicted load factor of the train when the train runs in each section based on the passenger flow data of each station and the bearing capacity of the train at the stop time of the train.
- 4. The method of claim 2, wherein determining the predicted braking distance of each of the trains while traveling in each of the zones using the predicted load factor of each of the trains while traveling in each of the zones and the speed of each of the trains while traveling in each of the zones comprises: For each train, determining an initial braking distance of the train when the train runs in each section based on the speed of the train running in each section and the current track adhesion coefficient of each section; And correcting the initial braking distance of the train when each section is driven based on a load correction factor corresponding to the predicted load factor of the train when each section is driven, a sliding correction factor corresponding to the current track adhesion level of each section, an environment correction factor corresponding to weather conditions and a track state factor corresponding to the track type of each section, so as to obtain the predicted braking distance of the train when each section is driven.
- 5. The method according to claim 1 or 4, wherein the braking distance constraint is determined by: determining a safety protection coefficient of each section based on the current track adhesion level with each section; and compensating the preset braking distance of each train when each section runs by utilizing the safety protection coefficient of each section to obtain the braking distance constraint of each train when each section runs.
- 6. The method of claim 2, wherein the obtaining a verification result of the candidate train operation plan by a first comparison result of each of the predicted load factors and a preset load threshold and a second comparison result of each of the predicted braking distances and a corresponding braking distance constraint comprises: Determining that the verification result of the candidate train operation plan is verification passing under the condition that the first comparison result represents that each predicted passenger carrying rate is smaller than or equal to the preset passenger carrying threshold value and the second comparison result represents that each predicted braking distance is smaller than or equal to the corresponding braking distance constraint; And determining that the verification result of the candidate train operation plan is not passed under the condition that the first comparison result representation has a predicted load capacity larger than a preset load threshold or the second comparison result representation has a predicted braking distance larger than a corresponding braking distance constraint.
- 7. The method of claim 6, wherein the method further comprises: if the verification result is that the verification fails, determining an adjustment range for the candidate train operation plan based on a failure cause determined by the first comparison result and the second comparison result; and adjusting the candidate train operation plan based on the adjustment range until the verification result is verification passing.
- 8. The method of claim 1, wherein the operation data comprises an operation section, wherein the adjusting the current train operation plan based on the operation data of each of the plurality of trains operating on the target line and the adjustment strategy adapted to the current track adhesion level to obtain a candidate train operation plan comprises: Determining a target train routed to the target section based on the operating section of each of the trains; Updating an initial train control strategy of the target train in the current train operation plan when the target section runs based on the train control strategy corresponding to the current track adhesion grade, so as to obtain an intermediate train operation plan; and updating the intermediate train operation plan based on the adjustment strategy to obtain a candidate train operation plan.
- 9. The method according to claim 1 or 8, wherein a database stores initial adjustment strategies for an initial train operation plan for a plurality of preset track adhesion levels, wherein the initial train operation plan is a train operation plan with a track adhesion coefficient in a normal interval, the adjustment strength of the initial train operation plan by the initial adjustment strategies is gradually increased along with the decrease of the preset track adhesion levels, and the adjustment strategies are obtained by: Determining a middle track adhesion grade of a grade order between the historical track adhesion grade and the current track adhesion grade, and determining a grade difference of the current track adhesion grade and the historical track adhesion grade; Determining a difference content of an initial adjustment strategy from the historical track adhesion level to the current track adhesion level based on the initial adjustment strategy of each of the current track adhesion level, the historical track adhesion level and the intermediate track adhesion level acquired from the database; And obtaining the adjustment strategy based on the difference content and the level difference.
- 10. The method of claim 9, wherein the deriving the adjustment strategy based on the difference content and the level difference comprises: in the event that the grade difference is determined to be indicative of the current track adhesion grade being lower than the historical track adhesion grade, the adjustment strategy is to perform an enhancement of the adjustment strength based on the current train operation plan in accordance with the difference content; in the event that the grade difference is determined to be indicative of the current track adhesion grade being higher than the historical track adhesion grade, the adjustment strategy is to make a downturn of the adjustment strength based on the current train operation plan in accordance with the difference content.
- 11. The method of claim 10, wherein the discrepancy comprises screening out stopped trains based on preset vehicle parameters, the preset vehicle parameters comprising at least one of load bearing capacity, distance between a current location and the target section, track free, passenger flow matching, risk level of a travel path, and train departure, the enhancing the adjustment strength based on the current train operation plan based on the discrepancy comprises: carrying out weighted summation on preset vehicle parameters of a plurality of trains included in the current train operation plan to obtain the outage score of each train; determining an off-train from a plurality of said trains based on an off-train score for each of said trains; And marking the shutdown train as shutdown in the current train operation plan.
- 12. The method of claim 8, wherein the train control strategy corresponding to the current track adhesion level comprises: And responding to deviation of the actual speed of the target train when the target section runs and the reference running speed under the current track adhesion level, determining a corresponding preset control strategy based on the deviation degree of the deviation, wherein the corresponding relation between the deviation degree and the preset control strategy is determined based on the occurrence probability of the sliding risk of the target train under a plurality of deviation degrees.
- 13. The method of claim 1, wherein the performing an adjustment evaluation of a current train operation plan for a target line including the target section based on a current track adhesion level corresponding to the track adhesion coefficient and a historical track adhesion level of the target section, to obtain an evaluation result, comprises: comparing the current track adhesion grade with the historical track adhesion grade to obtain a comparison result; And under the condition that the comparison result represents that the current track adhesion level is inconsistent with the historical track adhesion level, determining that the evaluation result is that the current train operation plan needs to be adjusted.
- 14. The method of claim 1, wherein the current track adhesion level is determined by: Matching the track adhesion coefficient with a plurality of preset track adhesion coefficient ranges, and determining a target track adhesion coefficient range to which the track adhesion coefficient belongs; and taking the preset track adhesion grade corresponding to the target track adhesion coefficient range as the current track adhesion grade.
- 15. An electronic device, comprising: one or more processors; storage means for storing one or more programs, Wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-14.
- 16. A train, comprising: A transmitting module for transmitting the current track adhesion coefficient of the target section to the electronic device according to claim 15; and the execution module is used for responding to the received target train control strategy sent by the electronic equipment and controlling the train to run according to the target train control strategy, wherein the target train control strategy is determined by the electronic equipment from the candidate train running plan.
Description
Train operation control method and device and train Technical Field The disclosure relates to the technical field of train operation control, in particular to a train operation control method, equipment and a train. Background Rail Adhesion (Rail Adhesion) refers to the ability of a train wheel to generate tangential force through friction between the contact surfaces of the train wheel and a steel Rail, and directly influences the effective exertion of the traction force and the braking force of the train, thereby forming a key influence on the running safety of the train. In the research process, the track adhesion performance is reduced under the influence of factors such as weather change, rail surface pollution and the like, so that the traction transmission efficiency of the train is reduced, the braking distance is prolonged, and the running safety of the train is further influenced. Disclosure of Invention In view of the above, the present disclosure provides a train operation control method, apparatus, and train. According to the first aspect of the disclosure, a train operation control method is provided, and the train operation control method comprises the steps of responding to receiving a current track adhesion coefficient of a target section, conducting adjustment evaluation on a target line comprising the target section according to the current track adhesion level corresponding to the track adhesion coefficient and a historical track adhesion level of the target section to obtain an evaluation result, conducting adjustment on the current train operation plan according to operation data of each of a plurality of trains operated on the target line and an adjustment strategy adapting to the current track adhesion level when the evaluation result represents that the current train operation plan needs to be adjusted, obtaining a candidate train operation plan, and conducting verification on the candidate train operation plan according to passenger flow data of each station of a target line path in a current period and respective braking distance constraints of a plurality of trains determined by the current track adhesion coefficient, so that the current train operation plan is updated into the candidate train operation plan when verification passes. According to the embodiment of the disclosure, a candidate train operation plan comprises stations where a plurality of trains stop in a running process and speeds of the plurality of trains when running in a plurality of sections included in a target route, wherein the candidate train operation plan is verified based on passenger flow data of each station of the target route in a current period and respective braking distance constraints of the plurality of trains determined by current track adhesion coefficients, the candidate train operation plan comprises the steps of determining predicted passenger capacities of the plurality of trains when running in the sections based on the passenger flow data of each station of the target route in the current period and the stations where the plurality of trains stop in the running process, determining predicted braking distances of the trains when running in the sections by utilizing the predicted passenger capacities of the trains and the speeds of the trains when running in the sections, and obtaining a verification result of the candidate train operation plan through a first comparison result of the predicted passenger capacities and preset passenger carrying thresholds and a second comparison result of the predicted braking distances and corresponding braking distance constraints. According to the embodiment of the disclosure, the predicted load factor of a plurality of trains when the trains travel in each section is determined based on the passenger flow data of each station of a target route in the current period and the stations where the trains stop in the traveling process, wherein the predicted load factor of the trains when the trains travel in each section is determined based on the passenger flow data of each station in the current period and the passenger flow data of each station at the train stopping time. According to the embodiment of the disclosure, the predicted braking distance of each train when the train runs in each section is determined by utilizing the predicted load factor of each train when the train runs in each section and the speed of each train when the train runs in each section, wherein the predicted braking distance of each train when the train runs in each section is determined based on the speed of each train running in each section and the current track adhesion coefficient of each section, and the predicted braking distance of each train when the train runs in each section is obtained by correcting the initial braking distance of each train when the train runs in each section based on the load correction factor corresponding to the predicted load factor of each train