Intelligent air rail transportation organization mode calculation method and system
Through the calculation method of intelligent air-rail transportation organization mode, the tracking intervals under different groups and scenarios are analyzed, and the problems of changing groups and scenarios in intelligent air-rail transportation organizations are solved, achieving accurate transportation organization and efficient operations.
Patent Information
- Application Number
- CN202411766163.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-04
- Publication Date
- 2025-04-11
AI Technical Summary
In the intelligent air-rail transportation organization, how to reasonably calculate the tracking interval, number of marshallings and operational transport based on different marshalling and changing operation scenarios, the existing technology has shortcomings and is difficult to adapt to complex transportation needs.
An intelligent air-rail transportation organizational mode calculation method is provided. By analyzing the tracking intervals of different groups in different scenarios, the minimum tracking intervals of the entire line are determined, and the number of vehicle groups and train operation and transportation are determined according to transportation needs. This method includes analysis of station loading and unloading and interval operation scenarios, taking into account factors such as system error, stopping, outbound, equivalent and braking time.
Accurate analysis of intelligent air-rail transportation organizations is achieved, ensuring the minimum tracking interval of the entire line and a reasonable number of vehicle groups, meeting the needs of transportation capacity and operational flexibility, and improving transportation efficiency and safety.
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Figure CN119809464A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of intelligent transportation technology, and in particular to an intelligent sky-rail transportation organization mode calculation method and system. Background Art
[0002] With the rapid development of science and technology, intelligent transportation systems have gradually become an important part of modern transportation. As an emerging mode of cargo transportation, intelligent skyrail has received widespread attention and application across the country with its unique advantages. The intelligent skyrail system is not only efficient, environmentally friendly and energy-saving, but also can realize the rapid and safe transportation of goods, which is of great significance for improving logistics efficiency and optimizing resource allocation. However, the transportation organization link of intelligent skyrail faces many challenges. In actual operation, intelligent skyrail needs to face trains of different formations, changing operation scenarios and complex transportation needs. How to reasonably calculate the tracking interval, number of formations and operation routes of intelligent skyrail according to different conditions has become a problem that needs to be solved urgently.
[0003] However, existing technical methods often have many shortcomings when facing the transportation organization needs of intelligent sky rail. For example, some methods can only calculate for specific scenarios or specific formations and cannot adapt to the changing operating environment; some methods are too complicated to be widely used in actual operations. Therefore, a more accurate, efficient and flexible calculation method is needed to meet the transportation organization needs of intelligent sky rail. Summary of the invention
[0004] In view of the shortcomings of the prior art, the present invention aims to provide a method for calculating the transportation organization mode of an intelligent sky rail, which can analyze and study the tracking intervals of intelligent sky rails of different formations in different scenarios, thereby determining the minimum tracking interval of the entire line section, and determining the number of vehicle formations according to the transportation needs in different scenarios. At the same time, the present invention can also carry out train operation route analysis according to the operation organization needs and determine the route operation type.
[0005] In order to solve the above technical problems, the present invention is implemented by the following technical solutions:
[0006] In a first aspect, the present invention provides a method for calculating an intelligent sky rail transportation organization mode, comprising:
[0007] For intelligent skyrails of different formations, the tracking intervals are analyzed and studied in different scenarios to determine the minimum tracking interval for the entire line;
[0008] Determine the number of vehicle groups based on transportation needs in different scenarios;
[0009] Carry out train operation route analysis based on operation organization needs and determine the type of route operation.
[0010] As a further optimization scheme of the present invention, the different scenarios include station loading and unloading scenarios and interval scenarios. The interval scenarios specifically include trains running on straight tracks, trains running on 60‰ straight sections, and trains running on light bulb lines.
[0011] As a further optimization solution of the present invention, the calculation formula of the minimum tracking interval T1 in the station loading and unloading scene is as follows:
[0012] T1=T 误差 +T 停站 +T 出站 +T 等效 +T 制动 ;
[0013] Among them, T 误差 Indicates the system error time; T 停站 Indicates the train stop time, which is determined according to the actual loading and unloading process and transportation volume demand; T 出站 Indicates the train departure time, which is determined according to the vehicle length, train marshaling number, heavy vehicle traction acceleration and platform protection zone length; T 等效 It represents the equivalent time of the parking area, which is determined according to the vehicle length, train marshaling number, line design speed and platform protection zone length; T 制动 Indicates the common braking time, which is determined according to the line design speed and the common braking rate.
[0014] As a further optimization scheme of the present invention,
[0015]
[0016] Among them, L 车 is the vehicle length, m is the number of train formations, a is the heavy vehicle traction acceleration, L 站台 is the length of the platform protection zone, V 设计 is the line design speed, a 制动 is the normal braking rate.
[0017] As a further optimization solution of the present invention, the calculation formula of the minimum tracking interval T2 of the interval scenario is as follows:
[0018] T2=T 误差 +T 制动 +T 出清 +T 通过 ;
[0019] Among them, T 误差 Indicates the system error time; T 制动 Indicates the braking distance passing time, which is determined according to the braking distance and vehicle speed limit; T 出清 Indicates the time for the preceding vehicle to clear, which is determined according to the train length, train marshaling number and vehicle speed limit; T通过 Indicates the protection zone passing time, which is determined by the protection zone length and vehicle speed limit.
[0020] As a further optimization scheme of the present invention,
[0021]
[0022] Among them, X 制动 Indicates braking distance, V 限速 Indicates vehicle speed limit, L 车 is the vehicle length, m is the number of train formations, X 保护 Indicates the protection zone length.
[0023] As a further optimization scheme of the present invention, in the step of determining the number of vehicle groups according to the transportation demand in different scenarios: comprehensively considering the specific transportation demand in different scenarios, including but not limited to the transportation volume, density of passengers or goods, operation efficiency, cost-effectiveness and maximum capacity of system design, and determining a reasonable number of vehicle groups through scientific calculation and evaluation;
[0024] In the step of conducting train operation route analysis based on operational organization needs and determining the route type: when determining the route type, it is necessary to comprehensively consider the line layout, passenger demand, and operational strategy, and ultimately determine the route type that meets actual needs and is efficient and economical through comparison, simulation and effect evaluation of different route plans.
[0025] In a second aspect, the present invention provides a system for executing the intelligent sky-rail transportation organization mode calculation method, comprising:
[0026] A data input module for receiving information about intelligent skyrail formations, scenario types, and operational requirements;
[0027] The tracking interval analysis module includes a station loading and unloading scenario analysis submodule and an interval operation scenario analysis submodule, which is used to calculate the minimum tracking interval of the intelligent sky rail in different scenarios based on the input data;
[0028] The station loading and unloading scenario analysis submodule is used to calculate the minimum tracking interval including error time, stop time, exit time, parking area equivalent time and common braking time;
[0029] The interval operation scenario analysis submodule is used to calculate the minimum tracking interval including error time, braking distance passing time, protection section passing time and front vehicle clearing time;
[0030] A group determination module is used to determine the number of groups of intelligent sky rail vehicles according to transportation requirements;
[0031] The route analysis module is used to carry out train operation route analysis and determine the route type according to the operation organization requirements.
[0032] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the intelligent aerial rail transportation organization mode calculation method.
[0033] In a fourth aspect, the present invention provides a computer device, including a processor and a memory, wherein the memory stores a computer program, and when the processor executes the computer program, the intelligent aerial rail transportation organization mode calculation method is implemented.
[0034] Compared with the prior art, the present invention has the following beneficial effects:
[0035] The intelligent skyrail transportation organization mode calculation method provided by the present invention can accurately analyze the intelligent skyrail under different formations and different scenarios, determine the minimum tracking interval and the number of vehicle formations in the entire line section, thereby ensuring the transportation capacity.
[0036] The method of the present invention takes into account a variety of influencing factors, including system error time, train stop time, exit time, parking area equivalent time, common braking time, etc., as well as the train's braking distance passing time in the section, protection section passing time and preceding vehicle clearing time, etc., so that the estimated results are more accurate and reliable.
[0037] The method of the present invention can meet the flexibility requirements of intelligent sky rail operation, arrange fault stop lines at certain intervals along the line, have a fault vehicle avoidance function, and reduce the impact on operation.
[0038] The method of the present invention calculates through a reasonable transport organization model so that the line design capacity can meet the project's predicted volume demand and long-term volume demand with a margin, making operation management safer and more efficient. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] Figure 1 This is a schematic diagram of the minimum tracking interval of trains in the station loading and unloading scenario of the present invention.
[0040] Figure 2 It is a principle diagram of the minimum train tracking interval in the interval scenario of the present invention. DETAILED DESCRIPTION
[0041] The specific implementation of the present invention is described below in conjunction with the accompanying drawings to facilitate the understanding of the present invention by those skilled in the art. Obviously, the present invention is not limited to the scope of the specific implementation. For those skilled in the art, as long as various changes are within the spirit and scope of the present invention defined and determined by the attached claims, these changes are non-creative work, and all inventions and creations using the invention concept of this law are protected.
[0042] Example 1
[0043] This embodiment provides a transport organization mode calculation study specifically for the intelligent sky rail, which can solve the tracking interval, number of trains and operation routes required by the intelligent sky rail under different input conditions.
[0044] This embodiment analyzes and studies the tracking intervals of different marshalings in different scenarios, and studies the station loading and unloading vehicles and sections (trains running on straight tracks, trains running on 60‰ straight sections, and trains running on light bulb lines) respectively, so as to determine the minimum tracking interval for the entire line.
[0045] (1) Minimum tracking interval for station loading and unloading scenarios.
[0046] like Figure 1 As shown in the figure, the minimum tracking interval for loading and unloading vehicles at the station is to ensure that the following vehicle entering the station is not forced to slow down or wait outside the station. It is broken down into five parts according to the tracking interval capacity of the signal system, including error time, stop time, exit time, equivalent time in the parking area, common braking time, etc.
[0047] T1=T 误差 +T 停站 +T 出站 +T 等效 +T 制动
[0048] Among them, T1 represents the minimum tracking interval of the loading and unloading vehicles at the station, T 误差 Indicates the system error time, T 停站 Indicates the train stop time, T 出站 Indicates the train departure time, T 等效 represents the equivalent time of parking area, T 制动 Indicates the normal braking time.
[0049] T 误差 According to general experience, take 5s;
[0050] T 停站 Determined according to the actual loading and unloading process and transportation volume demand, take 40s;
[0051] Where L 车is the vehicle length, m is the number of train formations, a is the heavy vehicle traction acceleration, a is determined according to the vehicle traction performance and traction weight, L 站台 is the length of the platform protection zone, L 站台 According to general experience, 12m is taken;
[0052] Where V 设计 is the line design speed, which is 50km / h;
[0053] where a 制动 is the common braking rate, take 0.87m / s 2 .
[0054] The calculation is shown in Table 1 below. The principle is as follows Figure 1 shown.
[0055] Table 1
[0056]
[0057]
[0058] (2) Minimum tracking interval for interval scenarios.
[0059] like Figure 2 As shown in the figure, the minimum tracking interval of a train in a section is to ensure that the following train is not forced to slow down or stop in the section. It should be based on the interval time maintained with the leading train and is decomposed into four parts according to the tracking interval capacity of the signal system, including error time, braking distance passing time, protection section passing time, and leading train clearance time.
[0060] Minimum tracking interval T2 = T 误差 +T 制动 +T 出清 +T 通过 ;
[0061] Among them, the error time T 误差 According to general experience, take 5s;
[0062] Braking distance time Braking distance X 制动 According to the slope and vehicle braking rate, the braking distances of vehicles on straight roads, 60‰ straight sections, and lightbulb lines are 159.64m, 514.4m, and 17.74m respectively; the corresponding vehicle speed limits are 60km / h, 60km / h, and 20km / h respectively;
[0063] Front car clearing time Determined according to the train length, train formation number and vehicle speed limit;
[0064] Passing time of protected area Determined based on the length of the protected area and the vehicle speed limit.
[0065] The calculation is shown in Table 2-4 below. The principle is as follows Figure 2 shown.
[0066] Table 2 Trains running on straight track
[0067]
[0068] Table 3 Trains running on 60‰ straight sections
[0069]
[0070]
[0071] Table 4 Trains running on the Bulb Line
[0072]
[0073] (3) Determine the number of vehicle groups based on the transportation needs in different scenarios to ensure transportation capacity.
[0074] When determining the number of vehicles in the intelligent sky rail system, multiple factors need to be considered, including but not limited to transportation volume, passenger or cargo density, operational efficiency, cost-effectiveness, and the maximum capacity of the system design. The specific steps are as follows:
[0075] Transport demand analysis: First, a detailed analysis of the daily, peak and special period transport demand of each station and the entire line is carried out. This includes data such as passenger flow, cargo weight and volume, as well as forecasts of growth trends in the next few years.
[0076] Marshalling efficiency evaluation: Based on transportation demand, evaluate the operational efficiency under different marshaling numbers. For example, increasing the marshaling can increase the capacity of a single transport, but it may also lead to problems such as longer station stay time and increased energy consumption.
[0077] Cost-benefit analysis: Calculate the operating costs (such as energy consumption, maintenance costs, labor costs, etc.) and benefits (such as the income from increased transportation volume) under different numbers of trains. By comparison, find the most cost-effective train plan.
[0078] System compatibility check: Ensure that the selected marshaling number is compatible with existing and planned station, track, signal system and other infrastructure to avoid unnecessary transformation or upgrade costs.
[0079] Flexibility considerations: Taking into account future changes in transportation demand, choose a marshaling scheme with a certain degree of flexibility so that it can be quickly adjusted when demand increases or decreases.
[0080] (4) Conduct train operation route analysis based on operational organization requirements and determine the type of route to be operated.
[0081] The design of train routes directly affects the efficiency, passenger satisfaction and operating costs of the transportation system. When determining the type of route to be operated, factors such as line layout, passenger travel demand, and operating strategy need to be considered comprehensively. The specific steps are as follows:
[0082] Line layout analysis: Detailed analysis of the physical layout of the line, including station locations, section lengths, slopes, curve radii, etc., to determine which sections are suitable for operating different types of routes.
[0083] Passenger demand analysis: Collect passengers' travel demand information through surveys and statistics, including starting station, terminal station, travel time, travel frequency, etc., to understand passengers' demand for transportation services.
[0084] Route scheme design: Based on the line layout and passenger demand, design a variety of possible route schemes, such as direct routes, interval routes, nested routes, etc., and evaluate the advantages and disadvantages of each scheme.
[0085] Operation strategy considerations: Select the most appropriate route plan based on the operation goals (such as improving transportation efficiency, reducing costs, and improving passenger satisfaction). For example, a high-frequency, short-route operation strategy can be adopted during peak hours to ease congestion; a low-frequency, long-route strategy can be adopted during non-peak hours to reduce operating costs.
[0086] Simulation and evaluation: Use simulation software to simulate the selected route plan, evaluate its impact on transportation efficiency, passenger waiting time, operating costs, etc., and make adjustments and optimizations based on the simulation results.
[0087] Flexibility and adaptability: Ensure that the route plan has a certain degree of flexibility and adaptability so that it can be quickly adjusted according to future line expansion, changes in passenger demand, etc.
[0088] Route design principles: (1) Under the premise of meeting the needs of the operation organization, the number of vehicles should be reduced as much as possible to save vehicle purchase costs, reduce operating costs and improve operating efficiency; (2) The route settings of each design year should be kept as continuous as possible, and the operability of operation management and the flexibility of operation organization should be considered.
[0089] According to the loading and unloading transportation mode of the sky rail system, one route is opened for the whole line, that is, the train operation route from the Toksun end loop line to the mining area loading loop line. It is easy to manage and has a high service level. It is the simplest and ideal operation plan.
[0090] Example 2
[0091] Based on the above-mentioned embodiment 1, this embodiment provides a system for executing the intelligent sky rail transportation organization mode calculation method, including:
[0092] A data input module for receiving information about intelligent skyrail formations, scenario types, and operational requirements;
[0093] The tracking interval analysis module includes a station loading and unloading scenario analysis submodule and an interval operation scenario analysis submodule, which is used to calculate the minimum tracking interval of the intelligent sky rail in different scenarios based on the input data;
[0094] The station loading and unloading scenario analysis submodule is used to calculate the minimum tracking interval including error time, stop time, exit time, parking area equivalent time and common braking time;
[0095] The interval operation scenario analysis submodule is used to calculate the minimum tracking interval including error time, braking distance passing time, protection section passing time and front vehicle clearing time;
[0096] A group determination module is used to determine the number of groups of intelligent sky rail vehicles according to transportation requirements;
[0097] The route analysis module is used to carry out train operation route analysis and determine the route type according to the operation organization requirements.
[0098] Example 3
[0099] Based on the above-mentioned embodiment 1, this embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the intelligent aerial rail transportation organization mode calculation method is implemented.
[0100] Example 4
[0101] Based on the above-mentioned embodiment 1, this embodiment provides a computer device, including a processor and a memory, wherein the memory stores a computer program, and when the processor executes the computer program, the intelligent aerial rail transportation organization mode calculation method is implemented.
[0102] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
[0103] The contents not described in detail in the specification of the present invention belong to the prior art known to the professional and technical personnel in this field.
Claims
1. A method for calculating the organization mode of intelligent sky rail transportation, characterized in that: include: For intelligent skyrails of different formations, the tracking intervals are analyzed and studied in different scenarios to determine the minimum tracking interval for the entire line; Determine the number of vehicle groups based on transportation needs in different scenarios; Carry out train operation route analysis based on operation organization needs and determine the type of route operation.
2. The intelligent sky rail transportation organization mode calculation method according to claim 1 is characterized in that: The different scenarios include station loading and unloading scenarios and interval scenarios. The interval scenarios specifically include trains running on straight tracks, trains running on 60‰ straight sections, and trains running on light bulb lines.
3. The intelligent sky rail transportation organization mode calculation method according to claim 1 or 2 is characterized in that: The calculation formula for the minimum tracking interval T1 in the station loading and unloading scenario is as follows: T1=T 误差 +T 停站 +T 出站 +T 等效 +T 制动 ; Among them, T 误差 Indicates the system error time; T 停站 Indicates the train stop time, which is determined according to the actual loading and unloading process and transportation volume demand; T 出站 Indicates the train departure time, which is determined according to the vehicle length, train marshaling number, heavy vehicle traction acceleration and platform protection zone length; T 等效 It represents the equivalent time of the parking area, which is determined according to the vehicle length, train marshaling number, line design speed and platform protection zone length; T 制动 Indicates the common braking time, which is determined according to the line design speed and the common braking rate.
4. The intelligent sky rail transportation organization mode calculation method according to claim 3 is characterized in that: Among them, L 车 is the vehicle length, m is the number of train formations, a is the heavy vehicle traction acceleration, L 站台 is the length of the platform protection zone, V 设计 is the line design speed, a 制动 is the normal braking rate.
5. The intelligent sky rail transportation organization mode calculation method according to claim 1 or 2 is characterized in that: The calculation formula of the minimum tracking interval T2 in the interval scenario is as follows: T2=T 误差 +T 制动 +T 出清 +T 通过 ; Among them, T 误差 Indicates the system error time; T 制动 Indicates the braking distance passing time, which is determined according to the braking distance and vehicle speed limit; T 出清 Indicates the time for the preceding vehicle to clear, which is determined according to the train length, train marshaling number and vehicle speed limit; T 通过 Indicates the protection zone passing time, which is determined by the protection zone length and vehicle speed limit.
6. The intelligent sky rail transportation organization mode calculation method according to claim 5 is characterized in that: Among them, X 制动 Indicates braking distance, V 限速 Indicates vehicle speed limit, L 车 is the vehicle length, m is the number of train formations, X 保护 Indicates the protection zone length.
7. The intelligent sky rail transportation organization mode calculation method according to claim 1 is characterized in that: In the step of determining the number of vehicle groups according to the transportation demand in different scenarios: comprehensively considering the specific transportation demand in different scenarios, including but not limited to the transportation volume, density of passengers or goods, operation efficiency, cost-effectiveness and the maximum capacity of the system design, and determining the reasonable number of vehicle groups through scientific calculation and evaluation; In the step of conducting train operation route analysis based on operational organization needs and determining the route type: when determining the route type, it is necessary to comprehensively consider the line layout, passenger demand, and operational strategy, and ultimately determine the route type that meets actual needs and is efficient and economical through comparison, simulation and effect evaluation of different route plans.
8. A system for executing the intelligent sky rail transportation organization mode calculation method according to claim 1, characterized in that: include: A data input module for receiving information about intelligent skyrail formations, scenario types, and operational requirements; The tracking interval analysis module includes a station loading and unloading scenario analysis submodule and an interval operation scenario analysis submodule, which is used to calculate the minimum tracking interval of the intelligent sky rail in different scenarios based on the input data; The station loading and unloading scenario analysis submodule is used to calculate the minimum tracking interval including error time, stop time, exit time, parking area equivalent time and common braking time; The interval operation scenario analysis submodule is used to calculate the minimum tracking interval including error time, braking distance passing time, protection section passing time and front vehicle clearing time; A group determination module is used to determine the number of groups of intelligent sky rail vehicles according to transportation requirements; The route analysis module is used to carry out train operation route analysis and determine the route type according to the operation organization requirements.
9. A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the intelligent sky rail transportation organization mode calculation method as described in any one of claims 1 to 6.
10. A computer device, comprising a processor and a memory, wherein the memory stores a computer program, and when the processor executes the computer program, the intelligent aerial rail transportation organization mode calculation method according to any one of claims 1 to 6 is implemented.