A method and system for dynamically adjusting the operation plan for comprehensive line energy saving

Abstract

The present invention discloses a method and system for dynamically adjusting the operation plan for comprehensive line energy conservation. The method includes: S1) Compiling an energy-saving operation diagram; S2) Loading the energy-saving operation diagram into the train automatic monitoring system, and the train operates according to the plan in the energy-saving operation diagram. During the train operation, adaptive adjustment for train operation energy conservation is carried out to optimize the energy-saving operation diagram; S3) Dynamically adjusting the train operation plan according to the optimized energy-saving operation diagram. The present invention especially solves the problem of the utilization of regenerative energy in different power supply zones within the line. By compiling the operation diagram based on historical operation data and dynamically adjusting the actual train operation plan, the maximization of the overlapping period of train operation traction and braking within the line is achieved, thereby realizing the maximization of the utilization of regenerative energy. The present invention can be applied to projects such as urban rail transit, suburban rail transit, and light rail. The purpose of the present invention is to make full use of the regenerative energy generated by train braking to achieve the goal of energy conservation for train operation within the line.

Description

Technical Field

[0001] The present invention belongs to the technical field of rail transit, and particularly relates to a method and system for dynamically adjusting the operation plan for comprehensive line energy conservation. Background Art

[0002] At present, urban rail transit has gradually formed a networked operation. To actively implement the national dual-carbon strategy and the requirements for the development of green rail transit, energy-saving operation of urban rail transit has become an urgent problem to be solved. By optimizing the control strategy of the train operation plan within the line power supply area, the full utilization of regenerative energy can be realized, thereby saving the energy consumption of train operation.

[0003] Currently, some urban rail transit lines are equipped with a line regenerative energy energy storage system to store the regenerative energy generated by train braking within the line. The energy storage will only occur when the voltage of the catenary absorbing the regenerative energy reaches a certain threshold. When the storage threshold is not reached, the regenerative energy is consumed and wasted within the catenary, and the goal of fully utilizing the regenerative energy is not achieved. The energy consumption is the highest when the train starts and accelerates in traction. The train generates regenerative energy during braking. By optimizing the overlapping period of traction and braking within the power supply area, the regenerative energy can be fully utilized.

[0004] The train operation diagram reflects the train stop time, departure time, and running time in the section, etc. The traction and braking times of trains in the same power supply area can be associated through the operation diagram. However, the compilation of the operation diagram needs to be carried out by comprehensively considering the passenger flow situation and transport capacity of the whole line. At the same time, the connection situation of the line network and some operation indicators still need to be evaluated, and there are many factors to be associated, so the matching of traction time and braking time cannot be fully achieved. Summary of the Invention

[0005] The purpose of the present invention is to overcome the defects of the prior art. The present invention relates to a method and system for dynamically adjusting the operation plan for comprehensive line energy conservation. The present invention realizes the maximization of the overlapping period of train operation traction and braking within the line by compiling the operation diagram based on historical operation data and dynamically adjusting the actual train operation plan, and further realizes the maximization of the utilization of regenerative energy. The present invention can be applied to projects such as urban rail transit, suburban rail transit, and light rail.

[0006] To achieve the expected effect, the present invention adopts the following technical solutions:

[0007] The present invention discloses a method for dynamically adjusting the operation plan for comprehensive line energy conservation, including:

[0008] S1) Compile an energy-saving operation diagram;

[0009] S2) Load the energy-saving operation diagram into the train automatic monitoring system. The train operates according to the plan in the energy-saving operation diagram, and performs self-adaptive adjustment for driving energy conservation during the train operation to optimize the energy-saving operation diagram;

[0010] S3) Dynamically adjust the train operation plan according to the optimized energy-saving operation diagram.

[0011] Furthermore, the S1) specifically includes:

[0012] S1.1) Compile the initial operation diagram by combining historical passenger flow and transport capacity resources;

[0013] S1.2) Evaluate the initial operation diagram according to the current line interval requirements and operation key indicators;

[0014] S1.3) Judge whether there is room for adjustment of the train operation stop time in the initial operation diagram. If there is room for adjustment, input the power supply section information and the maximum load information, perform the optimization matching and regulation of the traction and braking moments, and then execute S1.4); if there is no room for adjustment, the energy-saving operation diagram is compiled;

[0015] S1.4) Judge whether the optimized energy-saving operation diagram meets the operation index parameters. If so, the energy-saving operation diagram is compiled; if not, continue to optimize and regulate and then execute S1.4).

[0016] Furthermore, the optimized energy-saving operation diagram specifically includes: by integrating power supply information, simultaneously adjusting the train operation speed and stop time during the off-peak period, so that the traction and braking moments in the same power supply section reach the maximum matching.

[0017] Furthermore, the S2) specifically includes:

[0018] S2.1) Load the operation diagram into the train automatic monitoring system;

[0019] S2.2) The train operates according to the plan in the operation diagram;

[0020] S2.3) Judge whether there are stations with adjustable stop time according to the passenger flow prediction. If so, execute S2.4); if not, execute S2.2);

[0021] S2.4) Evaluate whether there is a need to adjust the traction and braking coincidence in the corresponding power supply section. If so, execute S2.5); if not, maintain the original plan operation;

[0022] S2.5) Optimize and regulate;

[0023] S2.6) Check whether it meets the operation index. If so, generate the optimized energy-saving operation diagram; if not, execute S2.5).

[0024] Further, the stations that can adjust the stop time are determined based on the passenger flow prediction, specifically including: predicting the passenger flow by detecting the vehicle weighing information and platform congestion information in real time, and determining whether there are stations that can adjust the stop time and the adjustment range of the platform time of the train at stations with low boarding and alighting demands according to the passenger flow prediction situation.

[0025] Further, the step S3) specifically includes: dynamically adjusting the coordinated departure time and arrival time between adjacent trains in the same power supply section according to the optimized energy-saving operation diagram.

[0026] Further, during the train operation, machine learning technology is used to continuously update and iterate the optimized operation diagram.

[0027] Further, the continuous update and iteration of the optimized operation diagram specifically includes:

[0028] Combining the train operation trajectory dynamically adjusted for energy saving, correcting the initial operation diagram, evaluating the key train operation indicators of the corrected operation diagram. If the operation indicator requirements are met, update the operation diagram version; if the operation indicator requirements are not met, continue to correct the operation diagram to meet the operation indicator requirements.

[0029] Further, correcting the operation diagram to meet the operation indicator requirements specifically includes: adjusting the stop time and section running time in the operation diagram or appropriately reducing the coincidence matching degree of the traction time and braking time to make the operation diagram meet the operation indicator requirements.

[0030] The present invention also discloses a dynamic adjustment system for the operation plan of comprehensive line energy saving, including:

[0031] An acquisition module, configured to acquire various types of data required for compiling the energy-saving operation diagram;

[0032] An energy-saving operation diagram compilation module, configured to compile an energy-saving operation diagram according to the train operation plan;

[0033] An operation plan dynamic adjustment module, configured to perform adaptive adjustment of train operation energy saving during the train operation to optimize the energy-saving operation diagram; and dynamically adjust the train operation plan according to the optimized energy-saving operation diagram.

[0034] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention discloses a method and system for dynamically adjusting the operation plan for comprehensive line energy saving. The method includes: S1) Compiling an energy-saving operation diagram; S2) Loading the energy-saving operation diagram into the train automatic monitoring system, and the train operates according to the plan in the energy-saving operation diagram, and performs adaptive adjustment of train operation energy saving during the train operation to optimize the energy-saving operation diagram; S3) Dynamically adjusting the train operation plan according to the optimized energy-saving operation diagram. The present invention particularly solves the problem of utilization of regenerative energy in different power supply zones within the line. By compiling the operation diagram based on historical operation data and dynamically adjusting the actual train operation plan, the maximum coincidence period of traction and braking during train operation within the line is achieved, thereby realizing the maximum utilization of regenerative energy. The present invention can be applied to projects such as urban rail transit, suburban rail transit, and light rail. The purpose of the present invention is to make full use of the regenerative energy generated by train braking to achieve the goal of energy saving in train operation within the line. The present invention intends to integrate power supply zone information and related parameters into the operation diagram, and through adjusting the stop time and the running time of the section, match and coincide the braking moment and the traction moment, thereby realizing the maximum utilization of regenerative energy. During the train operation, the present invention can further optimize the dynamically adjusted operation plan through the current passenger flow information and the predicted passenger flow information, finely adjust the traction and braking moments, and can secondarily optimize the coincidence range of the traction moment and the braking moment to achieve the maximum coincidence of the traction moment and the braking moment. The present invention also uses machine learning for intelligent analysis, loads the operation diagram in the initial state, performs dynamic optimization during the current operation, and feedback learning of the actual operation diagram, and adapts to match this energy-saving operation mode through an iterative loop method. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following described drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained according to these drawings.

[0036] Figure 1 It is a schematic diagram of a method for dynamically adjusting the operation plan for comprehensive line energy saving provided by an embodiment of the present invention.

[0037] Figure 2 It is a flowchart for compiling the initial energy-saving operation diagram of a method for dynamically adjusting the operation plan for comprehensive line energy saving provided by an embodiment of the present invention.

[0038] Figure 3 It is a flowchart for dynamic energy-saving adjustment during the operation process of a method for dynamically adjusting the operation plan for comprehensive line energy saving provided by an embodiment of the present invention.

[0039] Figure 4 It is a flowchart for iteratively updating the operation diagram of a method for dynamically adjusting the operation plan for comprehensive line energy saving provided by an embodiment of the present invention. Detailed implementation manners

[0040] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work belong to the scope of protection of the present invention.

[0041] See Figures 1 to 4 , the present invention discloses a method for dynamically adjusting the operation plan for comprehensive line energy saving, including:

[0042] S1) Compile an energy-saving operation diagram;

[0043] S2) Load the energy-saving operation diagram into the train automatic monitoring system, and the train operates according to the plan in the energy-saving operation diagram. During the train operation, perform adaptive adjustment for train operation energy saving to optimize the energy-saving operation diagram; specifically, the adaptive adjustment includes adjustment according to the real-time monitored passenger flow situation.

[0044] S3) Dynamically adjust the train operation plan according to the optimized energy-saving operation diagram. Specifically, the optimization refers to iterative learning optimization.

[0045] The present invention discloses a method for dynamically adjusting the operation plan for comprehensive line energy saving, especially solving the problem of utilization of regenerative energy (mainly referring to electric energy) in different power supply zones within the line. The present invention makes the traction time and braking time of trains in the same power supply zone reach the maximum matching coincidence through compiling the operation diagram based on historical operation data and dynamically adjusting the actual train operation plan. The present invention maximizes the coincidence period of train operation traction and braking within the line, and then fully utilizes the regenerative energy generated by train braking to achieve the goal of energy saving for train operation within the line. The operation diagram refers to plotting the data of project operation into a line graph, and discovering the trend or law of the project work process by observing and studying the operation status during a certain period of use. The operation diagram is composed of train planned operation curves, and the train planned operation curves represent the running time and stop time of trains in the section. The train operates according to the operation plan in the operation diagram. The present invention dynamically optimizes and adjusts the operation diagram with the key operation evaluation indicators and passenger flow data as constraints. Based on the monitored passenger flow data, the present invention flexibly adjusts the running time of a certain train at the station and the running time in the section, so as to achieve the time matching of the traction time and the braking time as much as possible.

[0046] In a preferred embodiment, the specific steps of S1) compiling the energy-saving operation diagram include:

[0047] S1.1) Compile the initial operation diagram by combining historical passenger flow and transport capacity resources;

[0048] S1.2) Evaluate the initial operation diagram according to the current line-wide headway requirements and key operation indicators;

[0049] S1.3) Determine whether there is room for adjustment in the train operation stop time in the initial operation diagram. If there is room for adjustment, input the power supply section information and maximum load information, perform the optimal matching and regulation of the coincidence of traction and braking moments, and then execute S1.4); if there is no room for adjustment, the energy-saving operation diagram compilation is completed;

[0050] S1.4) Determine whether the optimized energy-saving operation diagram meets the operation index parameters. If so, the energy-saving operation diagram compilation is completed; if not, continue to optimize and regulate and then execute S1.4).

[0051] In a preferred embodiment, the optimized energy-saving operation diagram specifically includes: by integrating power supply information, simultaneously adjusting the train operation speed and stop time during the off-peak period, so that the traction and braking moments within the same power supply section reach the maximum matching. Due to the line-wide headway requirements, at the initial stage, perfect matching cannot be achieved, and there is an iterative learning process, so it is a matching with the maximum coincidence degree as much as possible.

[0052] In a method for dynamically adjusting the operation plan for comprehensive line energy saving provided by the present invention, the compilation of the initial operation diagram is used as the main means for integrating the static analysis of energy-saving operation. After the compilation of the transportation organization plan by combining historical passenger flow and transport capacity resources, the operation diagram is evaluated and analyzed. Mainly according to the main operation indicators such as headway, analyze whether there is room for adjustment in the train running time and stop time in the section. According to passenger flow monitoring, if it is found that the passenger flow at this station is small at this moment, the stop time does not have to be the planned stop time, so the extra time can be flexibly allocated. For example Figure 1 As shown, if it is found that there are 10 seconds of available time at this station, the system can choose to continue to stop or depart in advance. It is used to make the traction and braking moments of the trains running in one power supply section coincide. Further, the maximum number of trains allowed to be simultaneously tractioned, the number of trains in operation, power supply information, etc. within the same power supply section are incorporated into the operation diagram compilation, and the traction moments and braking moments of the trains in the same power supply section are maximally coincided and matched through the operation diagram, so as to fully consume the regenerative energy generated by train braking.

[0053] In a preferred embodiment, the S2) loading the energy-saving operation diagram into the train automatic monitoring system, and the train runs according to the plan in the energy-saving operation diagram. The specific steps for adaptively adjusting the train operation for energy saving during the train operation process to optimize the energy-saving operation diagram include:

[0054] S2.1) Load the operation diagram into the Automatic Train Supervision (ATS) system;

[0055] S2.2) The train runs according to the plan in the operation diagram;

[0056] S2.3) Judge whether there are stations with adjustable stop times according to the passenger flow prediction. If so, execute S2.4). If not, execute S2.2);

[0057] S2.4) Evaluate whether there is a need to adjust the traction and braking overlap in the corresponding power supply section. If so, execute S2.5). If not, maintain the original planned operation;

[0058] S2.5) Optimize the regulation;

[0059] S2.6) Check whether the operation indicators are met. If so, generate an optimized energy-saving operation diagram. If not, execute S2.5).

[0060] In a method for dynamically adjusting the operation plan for comprehensive line energy saving provided by the present invention, the ATS system loads the initial operation diagram, and the train runs according to the planned time. Further, according to the passenger flow prediction, analyze whether there is room for adjusting the train stop time. If so, further analyze whether there is a need to further adjust and optimize the traction time and braking time in the same power supply section under the current operation state, and dynamically adjust the operation plan according to the actual train operation situation.

[0061] In a preferred embodiment, the judging whether there are stations with adjustable stop times according to the passenger flow prediction specifically includes: predicting the passenger flow by detecting the vehicle weighing information and platform congestion information in real time, and judging whether there are stations with adjustable stop times and the adjustment range of the platform time of the train at stations with small boarding and alighting demands according to the passenger flow prediction.

[0062] In a preferred embodiment, the step S3) of dynamically adjusting the train operation plan according to the optimized energy-saving operation diagram specifically includes: dynamically adjusting the cooperative departure time and arrival time between the adjacent trains before and after in the same power supply section according to the optimized energy-saving operation diagram.

[0063] In a method for dynamically adjusting the operation plan for comprehensive line energy saving provided by the present invention, for the initial operation diagram as the initial energy-saving operation plan, during the actual train operation, analyze the stop requirements through historical passenger flow and predicted passenger flow, further clarify the interval operation time and stop time that can be optimized, and dynamically adjust the operation diagram plan. According to the actual operation plan, continuously update and iterate to optimize the initial operation diagram. In a preferred embodiment, during the train operation, machine learning technology is used to continuously update and iterate to optimize the operation diagram.

[0064] Further, the continuously updating and iterating to optimize the operation diagram specifically includes:

[0065] Combine the train operation trajectory after energy-saving dynamic adjustment, correct the initial operation diagram, and evaluate the key train operation indicators of the corrected operation diagram. If the operation indicator requirements are met, update the operation diagram version. If the operation indicator requirements are not met, continue to correct the operation diagram to meet the operation indicator requirements.

[0066] Furthermore, the specific steps of correcting the operation diagram to meet the operation indicator requirements include: adjusting the stop time and section running time in the operation diagram or appropriately reducing the coincidence matching degree of the traction time and braking time to make the operation diagram meet the operation indicator requirements.

[0067] The present invention discloses a method for dynamically adjusting the operation plan for comprehensive line energy saving. By adjusting the train section running time and train stop time, the coincidence matching of the train traction time and braking time within the same power supply section is realized. Taking full advantage of the characteristics that the train consumes the most energy during the traction time and generates the most regenerative energy during the braking time, the operation optimization and energy saving are achieved. To achieve the precise matching of the energy-saving operation plan, the initial plan is difficult to meet the actual energy-saving operation of all trains on the whole line at one time during the actual train operation. Through the initial operation diagram loading, dynamic adjustment is carried out during the actual train operation, and at the same time, the initial operation diagram is continuously iteratively updated for dynamic learning and adjustment, and the energy-saving experience strategies during the operation are integrated into the transportation plan. The integration is a process of iterative learning. For example, during the actual operation process, it is found that the passenger flow at a certain station is not very large in several days or weeks, and there is extra stop time available for distribution. Then, during the iterative learning process, this time can be allocated for section running use, so that the train traction time and braking time within a power supply section can coincide as much as possible. The present invention can maximize the utilization of the regenerative energy generated by the train braking in different power supply sections of the line.

[0068] The present invention discloses a method for dynamically adjusting the operation plan for comprehensive line energy saving, which is applicable to the lines where no regenerative energy storage device is set on the whole line or the lines where the voltage in the catenary can store regenerative energy only when it reaches a certain threshold. The present invention also requires passenger flow prediction as the input condition for dynamic adjustment.

[0069] Such as Figure 1As shown in the figure, the present invention discloses a method for dynamically adjusting the operation plan for comprehensive line energy saving. First, optimize the compilation of the energy-saving operation diagram, specifically including: reducing the train speed or shortening the stop time during the low peak period, and coordinating traction and braking within the same power supply area; secondly, the real-time energy-saving train operation adaptive adjustment strategy, specifically including: detecting the train weight in real time, identifying the small passenger flow during the flat peak period; detecting the number of passengers getting on and off and the boarding and alighting requirements in real time; dynamically reducing the stop time at stations with small passenger capacity and boarding and alighting requirements, extending the running time of the section, and triggering traction energy saving. Finally, implement the collaborative strategy for energy-saving train operation with regenerative braking, specifically including: coordinating the departure time or arrival time of adjacent trains in front and behind within the same power supply area, and the regenerative braking energy is utilized by the adjacent trains.

[0070] As Figure 2 shown, the initial energy-saving operation diagram compilation process is as follows: First, compile the transportation plan by combining historical passenger flow and transport capacity resources, and evaluate the adjustable range of the train operation stop time according to the line headway requirements, operation key indicators, etc. A subway line has fixed operation index requirements, such as punctuality rate, headway, etc. On the premise of meeting these indicators, through passenger flow analysis, is there still room and scope for time adjustment. When it is judged that there is room for adjusting the stop time, input the power supply sub-area information, the maximum number of trains with traction in the power supply sub-area, the maximum allowable number of train operations, the maximum load, etc., and perform the coincidence matching optimization of the traction time and braking time. If there is no room for adjustment, directly enter the next step. After completing the above operations, further evaluate whether the optimized operation diagram meets the basic operation index requirements. If it meets, end the compilation of the initial operation diagram. If it does not meet, continue to adjust and optimize it until it meets the basic operation index requirements.

[0071] As Figure 3 shown, the dynamic adjustment process of energy-saving train operation during the running process is as follows: First, the ATS system loads the initial energy-saving operation diagram, and the train runs according to the chart plan. According to the passenger flow prediction, judge whether there are stations with adjustable stop time among all stations on the line. Specifically, according to the passenger flow monitoring, if it is found that the passenger flow at this station is small at this moment, the stop time does not have to be the planned stop time, so the extra time can be flexibly allocated. For example, if it is found that there are 10 seconds of available time at this station, the system can choose to continue to stop or depart in advance, so as to make the traction and braking times of the trains running in one power supply area coincide. If there are no stations with adjustable stop time among all stations on the line, continue to run according to the plan. If there are stations with adjustable stop time among all stations on the line, enter the next step. Judge whether there is a need to adjust the coincidence matching of the traction time and braking time in the power supply sub-area where the current station is located. For example, there are still trains in this power supply sub-area whose traction time and braking time do not coincide. If there is a matching requirement, optimize the dynamic adjustment of the operation plan and check whether it meets the basic operation index requirements. Finally, end the dynamic adjustment and execute it. If there is no matching requirement, maintain the original plan and end the dynamic adjustment.

[0072] As Figure 4 shown, run the diagram iteration update flowchart, and combine it with the actual operation trajectory after the dynamic adjustment of the energy saving of the trains throughout the line to perform the initial operation diagram correction process. Evaluate the key operation train indicators for the corrected operation diagram. If the indicator requirements are met (such as the headway, punctuality rate, etc.), update the operation diagram version as the static input data for the subsequent train operation. If the indicator requirements are not met, continue to correct the operation diagram. By adjusting the stop time and the running time of the section, etc., appropriately reduce the coincidence matching degree of the traction time and the braking time to make it meet the operation indicator requirements. For example, place the traction time and the braking time of the train in a secondary position and give priority to meeting the operation indicators to ensure the headway and punctuality rate of the operation throughout the line.

[0073] The present invention also discloses a dynamic adjustment system for the operation plan of comprehensive line energy saving, including:

[0074] A data collection module for collecting various types of data required for compiling the energy-saving operation diagram; such as historical data, passenger flow information, etc.

[0075] An energy-saving operation diagram compilation module for compiling the energy-saving operation diagram according to the train operation plan; in a preferred embodiment, the compilation of the energy-saving operation diagram specifically includes:

[0076] S1.1) Combine historical passenger flow and transport capacity resources to compile an initial operation diagram;

[0077] S1.2) Evaluate the initial operation diagram according to the current headway requirements of the whole line and the key operation indicators;

[0078] S1.3) Determine whether there is room for adjustment of the train operation stop time in the initial operation diagram. If there is room for adjustment, input the power supply sub-region information and the maximum load information, perform the optimization matching and regulation of the coincidence of the traction time and the braking time, and then execute S1.4); if there is no room for adjustment, the compilation of the energy-saving operation diagram is completed;

[0079] S1.4) Determine whether the optimized energy-saving operation diagram meets the operation index parameters. If so, the compilation of the energy-saving operation diagram is completed. If not, continue to optimize and regulate and then execute S1.4).

[0080] In a preferred embodiment, the optimized energy-saving operation diagram specifically includes: by integrating power supply information and simultaneously adjusting the train running speed and stop time during the low peak period, the coincidence of the traction time and the braking time within the same power supply sub-region reaches the maximum matching. Due to the headway requirements of the whole line, it is impossible to achieve a perfect match at the initial stage and there is an iterative learning process, so it is a matching with the maximum coincidence degree as much as possible.

[0081] The operation plan dynamic adjustment module is used to perform adaptive adjustment of train operation energy conservation during the train operation process to optimize the energy-efficient operation diagram; according to the optimized energy-efficient operation diagram, the train operation plan is dynamically adjusted. Specifically, the adaptive adjustment includes adjustment according to the passenger flow situation monitored in real time, and the optimization refers to iterative learning optimization.

[0082] In a preferred embodiment, the energy-efficient operation diagram is loaded into the train automatic monitoring system, and the train operates according to the plan in the energy-efficient operation diagram. The specific steps for performing adaptive adjustment of train operation energy conservation during the train operation process to optimize the energy-efficient operation diagram include:

[0083] S2.1) Load the operation diagram into the train automatic supervision (ATS) system;

[0084] S2.2) The train operates according to the plan in the operation diagram;

[0085] S2.3) Judge whether there is a station with adjustable stop time according to the passenger flow prediction situation. If so, execute S2.4); if not, execute S2.2);

[0086] S2.4) Evaluate whether there is a need to adjust the traction and braking overlap in the corresponding power supply section. If so, execute S2.5); if not, maintain the original plan and operate;

[0087] S2.5) Optimize the regulation;

[0088] S2.6) Check whether the operation index is met. If so, generate the optimized energy-efficient operation diagram; if not, execute S2.5).

[0089] In a preferred embodiment, the specific steps for dynamically adjusting the train operation plan according to the optimized energy-efficient operation diagram include: dynamically adjusting the coordinated departure time and arrival time between the adjacent trains before and after in the same power supply section according to the optimized energy-efficient operation diagram.

[0090] The present invention discloses a dynamic adjustment system for the operation plan of comprehensive line energy saving, especially solving the problem of the utilization of regenerative energy (mainly referring to electric energy) in different power supply zones within the line. The present invention makes the traction time and braking time of trains in the same power supply zone achieve the maximum matching coincidence through the dynamic adjustment of the operation diagram compiled based on historical operation data and the actual train operation plan. By maximizing the coincidence period of train operation traction and braking within the line, the present invention further makes full use of the regenerative energy generated by train braking to achieve the goal of energy saving in train operation within the line. The operation diagram refers to drawing the data of project operation into a line graph, and discovering the trend or law of the project work process by observing and studying the operation status during a certain period of use. The operation diagram is composed of train planned operation curves, and the train planned operation curves represent the running time and stop time of trains in the section. Trains operate according to the operation plan in the operation diagram. The present invention takes the key operation evaluation indicators and passenger flow data as constraint conditions to dynamically optimize and adjust the operation diagram. Based on the monitored passenger flow data, the present invention flexibly adjusts the running time of a certain train at the station and the running time in the section, so as to achieve the time matching of the traction time and the braking time as much as possible.

[0091] In a dynamic adjustment method for the operation plan of comprehensive line energy saving provided by the present invention, for the initial operation diagram as the initial energy-saving operation plan, during the actual operation of the train, the stop demand is analyzed through historical passenger flow and predicted passenger flow, and the optimizable running time and stop time in the section are further clarified, and the operation diagram plan is dynamically adjusted. According to the actual operation plan, the initial operation diagram is continuously updated and iteratively optimized. In a preferred embodiment, during the operation of the train, machine learning technology is used to continuously update and iteratively optimize the operation diagram.

[0092] Further, the continuous update and iterative optimization of the operation diagram specifically includes:

[0093] Combined with the train operation track after energy-saving dynamic adjustment, the initial operation diagram is corrected, and the key operation train indicators of the corrected operation diagram are evaluated. If the operation indicator requirements are met, the operation diagram version is updated. If the operation indicator requirements are not met, the operation diagram is continuously corrected to meet the operation indicator requirements.

[0094] Further, the correction of the operation diagram to meet the operation indicator requirements specifically includes: adjusting the stop time and running time in the operation diagram or appropriately reducing the coincidence matching degree of the traction time and the braking time to make the operation diagram meet the operation indicator requirements.

[0095] The present invention discloses a method for dynamically adjusting the operation plan for comprehensive line energy saving. By adjusting the running time of trains in sections and the stopping time of trains at stations, the coincidence matching of the traction time and braking time of trains within the same power supply section is achieved. Making full use of the characteristics that the energy consumption is the largest during the traction time of trains and the regenerative energy generated is the largest during the braking time of trains, thus achieving operation optimization and energy saving. To achieve the precise matching of the energy-saving operation plan, it is difficult for the initial plan to meet the actual energy-saving operation of all trains on the whole line in one go during the actual train operation. Through the loading of the initial operation diagram, dynamic adjustment is carried out during the actual train operation, and at the same time, the initial operation diagram is continuously iteratively updated for dynamic learning and adjustment, integrating the energy-saving experience strategies during operation into the transportation plan. The integration is a process of iterative learning. For example, during the actual operation process, it is found that the passenger flow at a certain station is not very large in several days or weeks, and there is extra stopping time available for allocation. Then, during the iterative learning process, this time can be allocated for use in the section running, so as to make the traction time and braking time of trains within a power supply section coincide as much as possible. The present invention can maximize the utilization of the regenerative energy generated by the braking of trains in different power supply sections of the line.

[0096] The present invention discloses a system for dynamically adjusting the operation plan for comprehensive line energy saving, which is applicable to lines where no regenerative energy storage device is provided throughout the line, or lines where the voltage within the catenary can store regenerative energy only when reaching a certain threshold. The present invention also requires passenger flow prediction as an input condition for dynamic adjustment.

[0097] Based on the same inventive concept, the present invention also discloses an electronic device, which includes: a processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory complete mutual communication through the communication bus. The processor can call the logical instructions in the memory to execute a method for dynamically adjusting the operation plan for comprehensive line energy saving, and the method includes: S1) Compiling an energy-saving operation diagram; S2) Loading the energy-saving operation diagram into the train automatic monitoring system, and the train runs according to the plan in the energy-saving operation diagram, and performs adaptive adjustment for energy saving during train operation to optimize the energy-saving operation diagram; S3) Dynamically adjusting the train operation plan according to the optimized energy-saving operation diagram.

[0098] In addition, when the logical instructions in the above-mentioned memory can be implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0099] On the other hand, an embodiment of the present invention also provides a computer program product. The computer program product includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute a method for dynamically adjusting an operation plan for comprehensive line energy saving provided by each of the above method embodiments. The method includes: S1) Compiling an energy-saving operation diagram; S2) Loading the energy-saving operation diagram into the train automatic monitoring system, and the train operates according to the plan in the energy-saving operation diagram, and performs adaptive adjustment of train operation energy saving during the train operation to optimize the energy-saving operation diagram; S3) Dynamically adjusting the train operation plan according to the optimized energy-saving operation diagram.

[0100] On another aspect, an embodiment of the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is implemented to execute a method for dynamically adjusting an operation plan for comprehensive line energy saving provided by each of the above embodiments. The method includes: S1) Compiling an energy-saving operation diagram; S2) Loading the energy-saving operation diagram into the train automatic monitoring system, and the train operates according to the plan in the energy-saving operation diagram, and performs adaptive adjustment of train operation energy saving during the train operation to optimize the energy-saving operation diagram; S3) Dynamically adjusting the train operation plan according to the optimized energy-saving operation diagram.

[0101] It should be understood that although the steps in the flowchart of the accompanying drawings are shown sequentially according to the indication of the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless there is a clear indication in this text, there is no strict order restriction for the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0102] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A dynamic adjustment method for the operation plan of comprehensive line energy saving, characterized in that Including: S1) Compile an energy-saving operation diagram; S2) Load the energy-saving operation diagram into the train automatic monitoring system, and the train operates according to the plan in the energy-saving operation diagram. During the train operation, perform adaptive adjustment for train operation energy conservation to optimize the energy-saving operation diagram; S3) Dynamically adjust the train operation plan according to the optimized energy-saving operation diagram; The specific content of S1) includes: S1.1) Compile an initial operation diagram by combining historical passenger flow and transport capacity resources; S1.2) Evaluate the initial operation diagram according to the current line interval requirements and operation key indicators; S1.3) Judge whether there is room for adjustment of the train operation stop time in the initial operation diagram. If there is room for adjustment, input the power supply partition information and maximum load information, perform optimization matching and control for the coincidence of traction and braking moments, and then execute S1.4); If there is no room for adjustment, the compilation of the energy-saving operation diagram is completed; S1.4) Judge whether the optimized energy-saving operation diagram meets the operation index parameters. If so, the compilation of the energy-saving operation diagram is completed. If not, continue to optimize and control and then execute S1.4); The specific content of S2) includes: S2.1) Load the operation diagram into the train automatic monitoring system; S2.2) The train operates according to the plan in the operation diagram; S2.3) Judge whether there is a station with adjustable stop time according to the passenger flow prediction situation. If so, execute S2.4); if not, execute S2.2); S2.4) Evaluate whether there is a need to adjust the coincidence of traction and braking in the corresponding power supply partition. If so, execute S2.5); if not, maintain the original plan for operation; S2.5) Optimize and control; S2.6) Check whether it meets the operation index. If so, generate an optimized energy-saving operation diagram. If not, execute S2.5).

2. The dynamic adjustment method for the operation plan of comprehensive circuit energy saving according to claim 1, characterized in that The optimized energy-saving operation diagram specifically includes: by integrating power supply information, simultaneously adjusting the train operation speed and stop time during the low peak period, so that the traction and braking moments in the same power supply partition reach the maximum matching.

3. The dynamic adjustment method for the operation plan of comprehensive circuit energy saving according to claim 1, characterized in that, The judgment of whether there is a station with adjustable stop time according to the passenger flow prediction situation specifically includes: performing passenger flow prediction by detecting vehicle weighing information and platform congestion information in real time, and judging whether there is a station with adjustable stop time and the adjustment range of the platform time of the train at the station with small boarding and alighting demand according to the passenger flow prediction situation.

4. The dynamic adjustment method for the operation plan of comprehensive circuit energy saving according to claim 1, characterized in that The specific content of S3) includes: Dynamically adjust the coordinated departure time and arrival time between adjacent trains in the same power supply partition according to the optimized energy-saving operation diagram.

5. The dynamic adjustment method for the operation plan of comprehensive line energy saving according to claim 1, characterized in that, During the train operation, use machine learning technology to continuously update and iterate to optimize the initial operation diagram.

6. The dynamic adjustment method for the operation plan of comprehensive line energy saving according to claim 5, characterized in that, The specific content of the continuous update and iteration to optimize the initial operation diagram includes: Combined with the train operation trajectory after energy-saving dynamic adjustment, correct the initial operation diagram, evaluate the key train operation indicators of the corrected operation diagram. If it meets the operation index requirements, update the operation diagram version. If it does not meet the operation index requirements, continue to correct the operation diagram to meet the operation index requirements.

7. The dynamic adjustment method for the operation plan of comprehensive line energy saving according to claim 6, characterized in that, The correction of the operation diagram to meet the operation index requirements specifically includes: adjusting the stop time and interval operation time in the operation diagram or appropriately reducing the coincidence matching degree of the traction and braking moments to make the operation diagram meet the operation index requirements.

8. An operation plan dynamic adjustment system for comprehensive line energy saving, characterized in that, Including: The acquisition module is used to acquire various types of data required for compiling the energy-saving operation diagram; The energy-saving operation diagram compilation module is used to compile the energy-saving operation diagram according to the train operation plan; The operation plan dynamic adjustment module is used to perform self-adaptive adjustment of train operation energy conservation during the train operation process to optimize the energy-saving operation diagram; and dynamically adjust the train operation plan according to the optimized energy-saving operation diagram; The compilation of the energy-saving operation diagram specifically includes: S1.1) Combine historical passenger flow and transport capacity resources to compile the initial operation diagram; S1.2) Evaluate the initial operation diagram according to the current line interval requirements and operation key indicators; S1.3) Judge whether there is room for adjustment of the train operation stop time in the initial operation diagram. If there is room for adjustment, input the power supply section information and the maximum load information, perform optimization matching and regulation of the coincidence of traction and braking moments, and then execute S1.4); if there is no room for adjustment, the compilation of the energy-saving operation diagram is completed; S1.4) Judge whether the optimized energy-saving operation diagram meets the operation index parameters. If so, the compilation of the energy-saving operation diagram is completed. If not, continue to optimize and regulate and then execute S1.4); Load the energy-saving operation diagram into the train automatic monitoring system, and the train runs according to the plan in the energy-saving operation diagram. The specific content of performing self-adaptive adjustment of train operation energy conservation during the train operation process to optimize the energy-saving operation diagram includes: S2.1) Load the operation diagram into the train automatic monitoring (ATS) system; S2.2) The train runs according to the plan in the operation diagram; S2.3) Judge whether there are stations with adjustable stop time according to the passenger flow prediction situation. If so, execute S2.4). If not, execute S2.2); S2.4) Evaluate whether there is a need to adjust the coincidence of traction and braking in the corresponding power supply section. If so, execute S2.5). If not, maintain the original plan to run; S2.5) Optimize and regulate; S2.6) Check whether it meets the operation index. If so, generate the optimized energy-saving operation diagram. If not, execute S2.5).

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