Method, system and equipment for acquiring design parameters of functional area of railway logistics base
By optimizing the design parameters of the functional areas of the railway logistics base using genetic algorithms, the problem of unreasonable functional area layout was solved, achieving efficient and economical functional area planning and improving the operational efficiency and service quality of the logistics base.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-12
- Publication Date
- 2026-03-17
AI Technical Summary
In existing technologies, the functional area layout of railway logistics bases often relies on the experience of engineers, resulting in unreasonable layouts that are difficult to optimize, affecting freight transshipment capacity and operational efficiency.
By combining the main road width data of the functional areas, the unit distance handling cost of goods, the actual area and the shape of the planned area, the design parameters of the functional areas of the logistics base are obtained using a genetic algorithm. The layout of the functional areas is then optimized through data modules and genetic algorithms.
This has enabled the functional areas to be laid out in a rational and economical manner, improved the overall operational efficiency and service quality of the logistics base, and reduced handling costs.
Smart Images
Figure CN121684183A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the technical field of railway logistics base layout planning, and relates to a method, system and equipment for obtaining design parameters of functional areas of railway logistics bases. Background Technology
[0002] As a key node in the logistics network, railway logistics bases seamlessly connect with various modes of transportation, including road, waterway, and air, creating a highly efficient multimodal transport system. This operational model fully leverages the advantages of different modes of transport, significantly improving logistics efficiency and effectively reducing costs.
[0003] With the continuous growth of railway logistics demand, the requirements for railway logistics bases are also increasing. These bases typically require a large area and complete facilities to meet the needs of large-scale cargo collection, distribution, transshipment, and storage.
[0004] Newly constructed railway logistics bases typically have a large area and well-designed functional zones. However, due to the large area, unreasonable distribution of the functional zones can lead to increased freight transportation costs. If the functional zones cannot be smoothly connected, it will affect the freight transshipment capacity.
[0005] Renovating and rebuilding aging railway logistics bases also presents numerous challenges. Due to limitations in the area and shape of the planned area, the layout of functional zones becomes particularly difficult. An unreasonable arrangement of these functional zones can also affect the freight transshipment capacity of the railway logistics base.
[0006] However, in existing technologies, the functional area layout of railway logistics bases is often based on engineers' experience, which often leads to unreasonable functional area layouts, making it relatively difficult to adjust and optimize them later. Summary of the Invention
[0007] The purpose of this invention is to provide a method, system, and equipment for obtaining design parameters of functional areas in railway logistics bases, so as to solve the technical problem of unreasonable functional area layout caused by human experience in the layout of railway logistics bases. The design parameters of the functional areas of the logistics base that this invention can obtain comprehensively consider various existing factors of railway logistics bases, which is conducive to optimizing the layout of functional areas of railway logistics bases.
[0008] To achieve the above objectives, the present invention employs the following technical solution: In a first aspect, the present invention provides a method for obtaining design parameters of functional areas of a railway logistics base, comprising the following steps: Obtain the shape of the planned area of the railway logistics base, the area of the planned area and the functional zone demand data, and the unit distance handling cost of goods; Obtain the actual area of the functional area based on the functional area requirement data; The design parameters of the logistics base functional areas are obtained by combining the main road width data of the functional areas, the unit distance handling cost of goods, the actual area, the shape of the planned area, and the area of the planned area with the genetic algorithm.
[0009] Secondly, the present invention provides a system for obtaining design parameters of functional areas of a railway logistics base, comprising: Data acquisition module: used to acquire the shape of the planned area of the railway logistics base, the area of the planned area and the functional area demand data, and the unit distance handling cost of goods; Area acquisition module: used to obtain the actual area of the functional area based on the functional area requirement data; Parameter acquisition module: Used to obtain design parameters for the functional areas of the logistics base by combining the main road width data of the functional areas, the unit distance handling cost of goods, the actual area, the shape of the planned area, and the area of the planned area with the genetic algorithm.
[0010] Thirdly, the present invention provides an electronic device, comprising: a processor; a memory for storing computer program instructions; and steps for implementing a method for obtaining design parameters of a railway logistics base functional area when executing the computer program.
[0011] Fourthly, the present invention provides a storage medium storing computer program instructions, which are loaded and executed by a processor to perform a method for obtaining design parameters of a railway logistics base functional area.
[0012] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention obtains the shape, area, and functional zone requirements of a railway logistics base, as well as the unit distance transportation cost for goods. The shape and area of the planned area provide an accurate geospatial basis for subsequent functional zone layout and parameter design. The functional zone requirements data ensures that the functional zone design meets actual needs. The unit distance transportation cost for goods is used to optimize the functional zone layout, providing an important basis for reducing transportation costs. Obtaining the actual area of each functional zone based on the functional zone requirements data helps ensure that the area of each functional zone meets actual needs, and facilitates the rational allocation and efficient utilization of resources. A genetic algorithm is used to combine the main road width data of the functional zones, the unit distance transportation cost for goods, the actual area, the shape of the planned area, and the area of the planned area to obtain the design parameters of the logistics base's functional zones. Through iterative optimization using the genetic algorithm, the rationality, efficiency, and economy of the functional zone layout are achieved, which helps improve the overall operational efficiency and service quality of the logistics base.
[0013] 2. The system of this invention includes: a data acquisition module, an area acquisition module, and a parameter acquisition module. The data acquisition module is used to acquire the shape of the planned area of the railway logistics base, the area of the planned area, functional area demand data, and the unit distance transportation cost of goods. The area acquisition module is used to acquire the actual area of the functional areas based on the functional area demand data. The parameter acquisition module uses a genetic algorithm combined with the main road width data of the functional areas, the unit distance transportation cost of goods, the actual area, the shape of the planned area, and the area of the planned area to acquire the design parameters of the functional areas of the logistics base. These modules work together to acquire the design parameters of the functional areas of the logistics base. The design parameters comprehensively consider various existing factors of the railway logistics base, which is beneficial for optimizing the layout of the functional areas of the railway logistics base.
[0014] 3. The electronic device and storage medium of this invention can also obtain the design parameters of the functional area of the logistics base. The design parameters comprehensively consider various existing factors of the railway logistics base, which is conducive to optimizing the layout of the functional area of the railway logistics base. Attached Figure Description
[0015] Figure 1 A schematic diagram of the planned area for a modern logistics center in a railway logistics base; Figure 2 This is a schematic diagram showing the relative positions of functional areas in a railway logistics base according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the floor plan design of a modern logistics center in a railway logistics base according to an embodiment of the present invention.
[0016] Figure 4 This is a flowchart of the method of the present invention; Figure 5 This is a system module diagram of the present invention. Detailed Implementation
[0017] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.
[0018] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.
[0019] The present invention will now be described in further detail with reference to the accompanying drawings: See Figure 4 This invention discloses a method for obtaining design parameters of functional areas in a railway logistics base, comprising the following steps: S1. Obtain the shape of the planned area of the railway logistics base, the area of the planned area and the functional area demand data, and the unit distance handling cost of goods; Preferably, the functional area requirement data includes: the number of daily pickup and delivery vehicles and the fluctuation coefficient of cargo arrival and departure.
[0020] S2. Obtain the actual area of the functional area based on the functional area requirement data, as follows: The functional area demand data includes: the number of daily pickup and delivery vehicles and the fluctuation coefficient of cargo arrival and departure; Based on the functional area demand data, obtain the area of the loading and unloading line, the area of the loading and unloading platform, the area of the storage area, and the area of the sorting area of the functional area. The actual area of the functional area is obtained based on the area of the loading and unloading line, the area of the loading and unloading platform, the area of the storage area, the area of the sorting area, the cargo arrival and departure fluctuation coefficient, and the demand data of the functional area.
[0021] Preferably, the formula for obtaining the area of the functional storage area is as follows:
[0022] in, The area of the functional storage area, For the total amount of goods, The proportion of goods entering the functional area. This refers to the fluctuation coefficient of cargo arrival and departure. This represents the average number of days the goods are stored. The total number of days in a year. This is the area adjustment factor.
[0023] S3. A genetic algorithm is used to combine the main road width data of the functional areas, the unit distance handling cost of goods, the actual area, the shape of the planned area, and the area of the planned area to obtain the design parameters of the logistics base's functional areas, as detailed below: Set the width data of the main road in the functional area of the railway logistics base, and the entrance and exit locations of the planned area; The parameters of the genetic algorithm are set, and the genetic algorithm is used as the optimization tool. The main road width data, the entrance location of the planned area, the exit location of the planned area, the unit distance transportation cost of goods, the actual area, the shape of the planned area, and the area of the planned area are used as inputs to construct the fitness function, as follows: The genetic algorithm has a population size of 600, an evolutionary generation of 100, a crossover probability of 0.5, and a mutation probability of 0.05. The weights for total freight handling cost, land utilization rate, and overall relevance are set at 0.4, 0.3, and 0.3, respectively. The maximum estimated value of the objective function is 100. Initialize the population for the genetic algorithm, where each individual represents a possible functional area layout scheme; The fitness value of each individual in the population is calculated based on the fitness function, and a selection operation is performed based on the fitness value, retaining individuals with fitness values exceeding the preset value as parents; Crossover operations are performed on the selected parent individuals to generate new child individuals, and mutation operations are performed on the child individuals until a preset number of iterations is reached or the fitness value no longer significantly increases, resulting in an optimized functional area layout scheme.
[0024] Preferably, the optimized functional area layout scheme includes: the location, size, shape of each functional area and the layout of the main roads.
[0025] See Figure 5 In another feasible embodiment of the present invention, the following modifications are made as appropriate. The steps include: This process involves obtaining the planned area shape, area, functional zone requirements, and unit distance handling cost of the railway logistics base. The planned area shape and area provide an accurate geospatial basis for subsequent functional zone layout and parameter design. Functional zone requirements data ensure that the functional zone design meets actual needs, improving the operational efficiency and economic benefits of the logistics base. Unit distance handling cost is used to optimize the functional zone layout, providing a crucial basis for reducing handling costs.
[0026] Obtaining the actual area of a functional area based on its demand data helps ensure that the area of each functional area meets actual needs and facilitates the rational allocation and efficient utilization of resources.
[0027] This invention employs a genetic algorithm to combine data on the width of main roads within functional zones, the unit distance handling cost of goods, actual area, planned area shape, and planned area size to obtain design parameters for the functional zones of a logistics base. Iterative optimization using the genetic algorithm facilitates the rationality, efficiency, and economy of the functional zone layout, thereby improving the overall operational efficiency and service quality of the logistics base. The design parameters for the functional zones of the logistics base obtained by this invention comprehensively consider various existing factors of railway logistics bases, which is beneficial for optimizing the layout of the functional zones of railway logistics bases.
[0028] Example 1: See Figure 4 This embodiment discloses a method for obtaining design parameters of functional areas of a railway logistics base, including the following steps: S1. Obtain the shape of the planned area of the railway logistics base, the area of the planned area and the functional area demand data, and the unit distance handling cost of goods; Preferably, the functional area requirement data includes: the number of daily pickup and delivery vehicles and the fluctuation coefficient of cargo arrival and departure.
[0029] Preferably, the functional areas include: a large and heavy cargo functional area, a packaged cargo functional area, a refrigerated functional area, a warehousing and distribution functional area, a container functional area, a commercial vehicle functional area, a high-speed rail express cargo functional area, an arrival, departure and shunting yard functional area, an auxiliary construction area and other functional areas.
[0030] S2. Obtain the actual area of the functional area based on the functional area requirement data, as follows: The functional area demand data includes: the number of daily pickup and delivery vehicles and the fluctuation coefficient of cargo arrival and departure; Based on the functional area demand data, obtain the area of the loading and unloading line, the area of the loading and unloading platform, the area of the storage area, and the area of the sorting area of the functional area. The actual area of the functional area is obtained based on the area of the loading and unloading line, the area of the loading and unloading platform, the area of the storage area, the area of the sorting area, the cargo arrival and departure fluctuation coefficient, and the demand data of the functional area.
[0031] The calculation process for the area of each functional zone is as follows: a) Area for large and heavy cargo: Calculation of railway loading and unloading area: The number of pick-up and delivery trips for long and heavy goods is once a day. A gantry crane with a maximum lifting capacity of 50 tons and a span of 35 meters is required. The fluctuation coefficient of goods arrival and departure is taken as 1.3. The area of the loading and unloading operation area is 25,500 square meters.
[0032] Storage area calculation: Besides being stored within the gantry crane's area, 70% of the large and heavy goods require storage and processing at the steel processing and distribution warehouse, with an average storage time of approximately 10 days. The storage area of the yard is approximately: =35,000 square meters The total area of the large and heavy cargo functional area is approximately (2.55 + 3.50) million square meters = 6.05 million square meters.
[0033] b. Functional area for packaged goods: 1. Calculation of railway loading and unloading line area: Packaged goods are picked up and delivered twice a day, with a cargo arrival and departure fluctuation coefficient of 1.3, and the area of the loading and unloading line is approximately 7,300 square meters.
[0034] 2. Calculation of loading and unloading platform area: If a two-platform-flanking-line layout is adopted, the loading and unloading platform area will be approximately 33,100 square meters. 3. Storage area calculation: Of the total volume of packaged goods arriving at the logistics center, 90% are sorted and distributed in the warehousing and distribution area; 5% are directly transferred to delivery vehicles by forklifts and transported out of the logistics center; and the remaining 5% are stored in the platform warehouse of the packaged goods functional area for a certain number of days before direct distribution. After arriving at the logistics center, 5% of the shipped goods are directly loaded onto trucks, while the remaining 95% require storage in the platform warehouse, with an average storage time of approximately 10 days. The warehouse storage area is approximately: ≈83,700 square meters The total area of the functional area for packaged goods is approximately (0.73 + 3.31 + 8.37) ten thousand square meters = 124,100 square meters.
[0035] c. Refrigeration area: 1. Calculation of railway loading and unloading line area: The refrigerated area has one pick-up and drop-off vehicle per day, the cargo arrival and departure fluctuation coefficient is taken as 1.3, and the area of the loading and unloading line is approximately 0.06 million square meters.
[0036] 2. Calculation of loading and unloading platform area: If a two-platform-flanking-line layout is adopted, the loading and unloading platform area is approximately 0.24 million square meters.
[0037] 3. Storage area calculation: Upon arrival at the logistics center, 5% of the refrigerated goods are directly loaded onto trucks, while the remaining 95% require storage. The average storage period is 10 days. Therefore, the calculated storage area is approximately: ≈11,300 square meters The total area of the cold storage functional area is approximately 0.06 + 0.24 + 1.13 = 14,300 square meters.
[0038] d. Warehousing and distribution functional area: 1. Storage area: 90% of the arriving packaged goods need to enter the warehousing and distribution area. Assuming a fluctuation coefficient of 1.3 and an average storage period of 10 days, the storage area is approximately: ≈129,600 square meters 2. Sorting area: The workload per unit area is 0.2 t / m². 2 If a single sorting operation takes 1.0 hour, and the average daily working time is 10 hours, then the area of the sorting area is approximately: ≈0.33 million square meters The total area of the warehousing and distribution functional area is approximately 129,600 + 3,300 = 132,900 square meters.
[0039] e. Container functional area: 1. Calculation of railway loading and unloading area: The container handling area requires three pick-up and drop-off trips per day and needs to be equipped with a gantry crane with a maximum lifting capacity of 50 tons and a span of 35 meters. The cargo arrival and departure fluctuation coefficient is taken as 1.3. The railway logistics base station currently has two bundles of four through-type container cargo lines, equipped with two gantry cranes with an effective length of 920-990 meters. In 2020, two more loading and unloading lines with an effective length of 1050 meters need to be added, along with two more gantry cranes. The area of the container loading and unloading operation area in 2020 will be approximately 140,000 square meters.
[0040] 2. Calculation of container yard area: The container yard has a 70% container ratio. The time occupied by outgoing containers, empty containers, and containers awaiting repair is calculated at 2 days, and the time occupied by arriving containers is calculated at 3 days. A reserve capacity of 0.04 million containers is assumed per 24 hours. Therefore, the container yard area is approximately 187,800 square meters. The total area of the container functional area is approximately 14 + 18.78 = 327,800 square meters.
[0041] f. Functional areas of the finished vehicle: 1. Calculation of loading and unloading area: The modern logistics center of a certain railway logistics base currently transports automobiles by train. It has two dead-end loading and unloading lines with an effective length of 990 meters. It uses JSQ5 type cars (26.4 meters in length, 37 tons in tare weight, and 20 tons in payload) for transportation. Each train consists of 29 cars. Based on a full load factor of 0.9, each train has a transport capacity of approximately 261 automobiles.
[0042] Currently, railway bureaus calculate shipment volume based on the tonnage of goods sent; any shipment weighing one ton or more is counted as one tonnage. This report uses an average weight of 2 tons for automobiles, resulting in an annual shipment volume of approximately 150,000 automobiles. If the arrival and departure fluctuation coefficient is taken as 1.3, then the average number of trains arriving and departing per day is approximately 2.05. The existing loading and unloading lines meet the transportation requirements for automobiles arriving and departing in 2020, so no additional loading and unloading lines will be added. The distance between the two loading and unloading lines is 5 meters, so the area occupied by the loading and unloading lines is approximately 0.85 million square meters. 2. Storage area calculation: The average parking space occupancy time for commercial vehicles is taken as 12 days, the arrival and departure fluctuation coefficient is taken as 1.3, and the total number of parking spaces in the storage area is approximately 6411 vehicles; The storage area covers approximately 135,700 square meters. 3. Calculation of delivery area: Each inspection lane is 4 meters wide and 44 meters long. Therefore, there are approximately 9 inspection lanes. The delivery area covers approximately 0.16 million square meters; The total area of the commercial vehicle functional area is approximately 0.85 + 13.57 + 0.16 = 145,800 square meters.
[0043] g. High-speed rail express freight functional area: (1) Loading and unloading line area: Express freight is picked up and delivered once a day, with a freight arrival and departure fluctuation coefficient of 1.3. The average static load of freight cars is calculated based on mixed cargo. Currently, the railway logistics base station has one end-of-line express freight loading and unloading line with an effective length of 600 meters. It is designed to renovate two 850-meter loading and unloading lines annually to meet the loading and unloading requirements of the entire train. Therefore, the area of the loading and unloading lines is calculated to be approximately 0.73 million square meters. (2) Loading and unloading platform: If a two-platform, two-line layout is adopted, the loading and unloading platform area is 13,600 square meters; (3) Calculation of storage area: The average storage time for goods is approximately 10 days, and the calculated storage area is approximately 65,300 square meters. The total area of the express freight functional area is approximately: 0.73 + 1.36 + 6.53 86,200 square meters.
[0044] h. Arrival / departure and shunting yards: After the completion of the new North Zone of the modern logistics center of this railway logistics base, the freight volume will increase. Therefore, it is necessary to plan 8 arrival and departure tracks and 6 shunting tracks in the existing station area, mainly to handle the arrival, departure, and shunting operations of the newly added freight trains in the new North Zone. The spacing between adjacent arrival and departure tracks and shunting tracks is 5 meters, the spacing between the shunting yard and the arrival and departure yard is 6.5 meters, the distance from the center line of the outer track of the arrival and departure yard and the shunting yard to the toe of the slope is 8 meters, and the effective length of the arrival and departure tracks is 1050 meters. Therefore, the area of the new yard is approximately 86,700 square meters. i. Supporting facilities area: The total area of the main functional areas and parking lots in the newly built northern section of the modern logistics center of the railway logistics base is: 6.05 + 12.41 + 1.43 + 7.25 + 13.29 + 8.67 = 491,000 square meters The comprehensive management area accounts for approximately 5% of the total area of the newly built North Zone of a modern logistics center in a railway logistics base. The auxiliary operation area, including loading and unloading machinery parking, accounts for approximately 5% of the total area. Green space accounts for approximately 15%, roads for approximately 14%, parking lots for approximately 3%, and reserve land for approximately 6%. Therefore, the supporting facilities area accounts for approximately 48% of the total area. Thus, the sum of the areas of all major functional areas and the parking lot accounts for approximately 52% of the total area. The total area is calculated to be approximately 49.1 / 52% = 944,300 square meters. Therefore, the comprehensive management area is approximately 944,300 × 5% ≈ 47,300 square meters. The sum of the areas of each functional area is shown in Table 1.
[0045] Table 1. Area of each functional zone in the newly built North Zone of the railway logistics base (unit: 10,000 square meters):
[0046] S3. A genetic algorithm is used to combine the main road width data of the functional areas, the unit distance handling cost of goods, the actual area, the shape of the planned area, and the area of the planned area to obtain the design parameters of the logistics base's functional areas, as detailed below: The planned area of the newly built northern section of a railway logistics base is approximately 944,300 square meters. The planned area is as follows: Figure 1 As shown.
[0047] Based on the land use conditions, the planning area is approximated as a rectangle with a length of 1600 meters and a width of 590.18 meters. Therefore, the problem is transformed into planning the layout of functional areas for long and heavy cargo, packaged goods, refrigerated goods, international goods, warehousing and distribution, comprehensive management, parking lots, and three entrances / exits within this 1600-meter-long, 590.18-meter-wide rectangle. The parking lot is a fixed-location functional area, with its center coordinates set at (650, 41.29) after the land use conditions are defined. Its length is 1050 meters and its width is 82.5 meters. The coordinates of virtual functional areas 11-14 are (-150, 260), (600, 700), (1200, 650), and (1650, 350), respectively.
[0048] The main road width within the railway logistics center is set at 30 meters, therefore the minimum width between each functional area is 30 meters. The unit distance handling cost per ton of goods is shown in Table 2. Table 2. Unit distance handling cost per ton of goods in each functional area:
[0049] Genetic algorithm parameter settings: The genetic algorithm toolbox in MATLAB R2016b was used to solve the problem, and the values of each parameter are defined as shown in Table 3.
[0050] Table 3. Genetic Algorithm Parameter Settings:
[0051] Solution results: Using the genetic algorithm toolbox in MATLAB R2016b, after multiple solutions, the optimal chromosome for functional area layout planning was obtained as {[1, 0.2383], [3, 0.2741], [4, 0.3756], [7, 0.3598], [2, 6.2228], [5, 7.588]}, and the optimal chromosome for entrance / exit planning was {[0, 141.6087], [590.18, 970.4325], [1600, 235.2741]}. The parameters of each major functional area in the functional area layout scheme corresponding to this chromosome are shown in Table 4, and the corresponding optimal functional area layout scheme is as follows: Figure 2 As shown.
[0052] Table 4. Parameters of each main functional area:
[0053] Based on the actual land use situation, the layout of the arrival and departure yards and shunting yards, and the requirements for the loading and unloading lines, the layout scheme of each functional area was adjusted to obtain the final scheme as follows: Figure 3 As shown.
[0054] Based on the above method, this invention also discloses a system for obtaining design parameters of functional areas of railway logistics bases, see [link to relevant documentation]. Figure 5 ,include: Data acquisition module: used to acquire the shape of the planned area of the railway logistics base, the area of the planned area and the functional area demand data, and the unit distance handling cost of goods; Area acquisition module: used to obtain the actual area of the functional area based on the functional area requirement data; Parameter acquisition module: Used to obtain design parameters for the functional areas of the logistics base by combining the main road width data of the functional areas, the unit distance handling cost of goods, the actual area, the shape of the planned area, and the area of the planned area with the genetic algorithm.
[0055] The various modules of the system in this invention work together to obtain the design parameters of the functional areas of the logistics base. The design parameters take into account a variety of existing factors of the railway logistics base, which is conducive to optimizing the layout of the functional areas of the railway logistics base.
[0056] An electronic device includes: a processor; a memory for storing computer program instructions; and steps for implementing a method for obtaining design parameters of a railway logistics base functional area when executing the computer program.
[0057] A storage medium storing computer program instructions, which are loaded and executed by a processor, wherein the processor executes a method for obtaining design parameters of a functional area of a railway logistics base.
[0058] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0059] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1A device that provides the functions specified in one or more boxes.
[0060] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0061] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0062] The above content is only for illustrating the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made to the technical solution based on the technical concept proposed in this invention shall fall within the scope of protection of the claims of this invention.
Claims
1. A method for obtaining design parameters of a functional area of a railway logistics base, characterized in that, The method comprises the following steps: acquiring the shape of a planning area of a railway logistics base, area of the planning area, and functional area demand data, and unit distance carrying cost of goods; acquiring the actual area of the functional area according to the functional area demand data; acquiring the design parameters of the functional area of the logistics base by using a genetic algorithm in combination with the width data of a main road of the functional area, the unit distance carrying cost of goods, the actual area, the shape of the planning area, and the area of the planning area.
2. The method of claim 1, wherein, The functional area demand data comprises: the number of times of taking and sending vehicles per day of goods and the fluctuation coefficient of goods.
3. The method of claim 1, wherein, The actual area of the functional area is acquired according to the functional area demand data as follows: The functional area demand data comprises: the number of times of taking and sending vehicles per day of goods and the fluctuation coefficient of goods; acquiring the area of a loading and unloading line of the functional area, the area of a loading and unloading platform of the functional area, the area of a storage area of the functional area, and the area of a sorting area of the functional area according to the functional area demand data; acquiring the actual area of the functional area according to the area of the loading and unloading line of the functional area, the area of the loading and unloading platform of the functional area, the area of the storage area of the functional area, the area of the sorting area of the functional area, the fluctuation coefficient of goods, and the functional area demand data.
4. The method of claim 3, wherein, The area of the storage area of the functional area is acquired according to the following formula: Wherein, is the area of the storage area of the functional zone, is the total amount of goods, is the proportion of goods entering the functional zone, is the fluctuation coefficient of goods to and from, is the average number of days of goods storage, is the total number of days in a year, is the area adjustment coefficient.
5. The method of claim 1, wherein, The design parameters of the functional area of the logistics base are acquired by using a genetic algorithm in combination with the width data of a main road of the functional area, the unit distance carrying cost of goods, the actual area, the shape of the planning area, and the area of the planning area as follows: setting the width data of the main road of the functional area of the railway logistics base, the entry position of the planning area, and the exit position of the planning area; setting the parameters of the genetic algorithm, using the genetic algorithm as an optimization tool, taking the width data of the main road, the entry position of the planning area, the exit position of the planning area, the unit distance carrying cost of goods, the actual area, the shape of the planning area, and the area of the planning area as inputs, and constructing a fitness function; initializing the population of the genetic algorithm, wherein each individual represents a possible functional area layout scheme; calculating the fitness value of each individual in the population according to the fitness function, and performing a selection operation according to the fitness value, and retaining the individuals with the fitness value exceeding a preset value as parents; performing a crossover operation on the selected parent individuals to generate new child individuals, and performing a mutation operation on the child individuals until a preset iteration number is reached or the fitness value is no longer significantly improved, and obtaining an optimized functional area layout scheme.
6. The method of claim 5, wherein, The parameters of the genetic algorithm are set, the genetic algorithm is used as an optimization tool, the width data of the main road, the unit distance carrying cost of goods, the actual area, the shape of the planning area, and the area of the planning area are taken as inputs, and a fitness function is constructed as follows: The population size of the genetic algorithm is 600, the evolution generation number is 100, the crossover probability is 0.5, and the mutation probability is 0.05; the total cost weight of goods carrying is set to 0.4, the land utilization rate weight is set to 0.3, the comprehensive correlation weight is set to 0.3, and the maximum estimated value of the objective function is set to 100.
7. The method of claim 5, wherein the method further comprises: The optimized functional area layout scheme comprises the position, size, shape of each functional area, and main road layout.
8. A system for obtaining design parameters of functional areas in a railway logistics base, characterized in that, The method comprises the following steps: a data acquisition module is configured to acquire the shape of a planning area of a railway logistics base, area of the planning area, and functional area demand data, and unit distance carrying cost of goods; Area acquisition module: used for acquiring the actual area of the functional area according to the functional area demand data; Parameter acquisition module: used for acquiring the design area parameters of the functional area of the logistics base by combining the main road width data of the functional area, the unit distance carrying cost of goods, the actual area, the shape of the planning area and the area of the planning area by using a genetic algorithm.
9. An electronic device comprising: The processor; a memory, the electronic device is used for storing computer program instructions; characterized in that, when the computer program is executed, the steps of the method for acquiring the design parameters of the functional area of the railway logistics base according to any one of claims 1-7 are implemented.
10. A storage medium storing computer program instructions, characterized in that, When the computer program instructions are loaded and run by the processor, the processor executes the method for acquiring the design parameters of the functional area of the railway logistics base according to any one of claims 1-7.