Method and device for evaluating ultimate transport capacity of fleet based on minimum vehicle unit

Abstract

The invention belongs to the technical field of data processing, and particularly discloses a fleet ultimate transport capacity evaluation method and device based on a minimum vehicle unit, and the method comprises the steps: obtaining available ships, available berths and inter-shift parameters in a target time period; obtaining the maximum execution shift based on the available ships, the available berths and the shift interval parameters in the target time period; based on preset ship attribute portraits corresponding to the available ships respectively, a scheduling priority queue is obtained, and the preset ship attribute portraits comprise ship lane line length, ship loading and unloading duration and ship navigation time; and based on the maximum execution shift, the shift arrangement priority queue and a preset minimum vehicle quantization unit length, calculating to obtain a fleet ultimate transport capacity value. The method can quantitatively calculate the limit transport capacity condition of the whole fleet in any time, improves the rationality and accuracy of limit transport capacity evaluation, and helps a roller passenger ferry operation unit to obtain the accurate and effective fleet transport capacity condition.

Description

Technical Field

[0001] The present application belongs to the field of data processing technology, and more specifically, to a method and device for evaluating the ultimate capacity of a fleet based on a minimum vehicle unit. Background Art

[0002] Ro-ro passenger ferry transport often shows time imbalance. During holidays, its peak transport demand is more than three times the daily transport demand. This makes it difficult to judge whether the sea crossing demand and ship capacity can match under peak conditions based on the ship capacity under normal conditions. Therefore, it is necessary to accurately calculate the ultimate transport capacity of all ships in the fleet to evaluate whether the current fleet can meet the increasing peak sea crossing demand in order to design future shipbuilding plans, transportation schedules, etc. However, there is currently no reasonable fleet capacity assessment method, which is mainly based on manual reasoning and analysis combined with historical data and experience. Due to the lack of theoretical basis, the rationality and accuracy of the assessment are low. Summary of the invention

[0003] In view of the defects of the prior art, the purpose of this application is to provide a method and device for evaluating the maximum capacity of a fleet based on the minimum vehicle unit, aiming to solve the problem of low rationality and accuracy of the evaluation caused by the prior art through manual reasoning and analysis combining historical data and experience.

[0004] To achieve the above objectives, in a first aspect, the present application provides a fleet capacity limit assessment method based on a minimum vehicle unit, comprising:

[0005] Obtain available ships, available berths and shift interval parameters within the target time period;

[0006] Based on the available ships, available berths and shift interval parameters within the target time period, a maximum number of executed shifts is obtained;

[0007] Based on the preset ship attribute portraits corresponding to the available ships, respectively, a scheduling priority queue is obtained, wherein the preset ship attribute portraits include the length of the ship lane line, the length of the ship loading and unloading time, and the ship sailing time;

[0008] Based on the maximum execution shift, the scheduling priority queue and the preset minimum vehicle quantization unit length, the fleet limit capacity value is calculated.

[0009] This application divides all cross-sea vehicles into equal minimum vehicle quantification units, and based on technical models such as ship attribute portraits, ship extreme scheduling, and ship extreme loading, quantitatively calculates the ultimate capacity of the entire fleet at any time, improves the rationality and accuracy of the ultimate capacity assessment, and helps passenger and vehicle ferry operators obtain accurate and effective fleet transportation capacity information.

[0010] According to a fleet capacity limit assessment method based on minimum vehicle units provided by the present invention, the maximum number of shifts is obtained based on available ships, available berths and shift interval parameters within the target time period, including:

[0011] When the first condition and the second condition are met, the maximum number of executed shifts is calculated based on the available ships, available berths and shift interval parameters at each time point in the target time period;

[0012] The first condition is that the interval between two ships in the same port area is not less than the interval parameter between ships;

[0013] The second condition is that the ships entering the port area and the ships leaving the port area do not gather at the port entrance.

[0014] According to a fleet capacity assessment method based on minimum vehicle units provided by the present invention, the scheduling priority queue is obtained based on the ship attribute portraits corresponding to the available ships, including:

[0015] Based on the length of the ship lane, the ship loading and unloading time, the ship sailing time and the preset weight, the scheduling priority values ​​corresponding to the available ships are calculated;

[0016] The available ships are sorted in descending order according to the scheduling priority values ​​to obtain the scheduling priority queue.

[0017] According to a fleet limit capacity evaluation method based on minimum vehicle unit provided by the present invention, the fleet limit capacity value is calculated based on the maximum execution shift, the scheduling priority queue and the preset minimum vehicle quantization unit length, including:

[0018] Based on the scheduling priority queue and the preset minimum vehicle quantization unit length, calculating the maximum capacity value of each ship in the scheduling priority queue;

[0019] In the maximum execution shift, the ship ranked first in the scheduling priority queue is selected as the execution ship in each shift;

[0020] The maximum capacity values ​​of the executing ships selected for the maximum executing shift are accumulated to obtain the maximum capacity value of the fleet.

[0021] According to a method for evaluating the fleet's ultimate capacity based on a minimum vehicle unit provided by the present invention, the method further comprises:

[0022] Based on different vehicle types, setting a multiple relationship between the vehicle quantization unit lengths corresponding to different vehicle types and the preset minimum vehicle quantization unit length;

[0023] Based on the multiple relationship and the fleet's maximum transport capacity value, the maximum transport capacity values ​​corresponding to the fleet when carrying different types of vehicles are calculated.

[0024] According to a method for evaluating the fleet's ultimate capacity based on a minimum vehicle unit provided by the present invention, the method further comprises:

[0025] Based on the historical ship loading and unloading time and the historical ship sailing time of the ship, the ship loading and unloading time and the ship sailing time in the preset ship attribute portrait are obtained.

[0026] In a second aspect, the present application provides a fleet limit capacity assessment device based on a minimum vehicle unit, comprising:

[0027] The first acquisition module is used to obtain available ships, available berths and shift interval parameters within a target time period;

[0028] A second acquisition module is used to obtain the maximum number of executed shifts based on the available ships, available berths and shift interval parameters within the target time period;

[0029] A third acquisition module is used to obtain a scheduling priority queue based on preset ship attribute portraits corresponding to the available ships, wherein the preset ship attribute portraits include ship lane line length, ship loading and unloading time, and ship sailing time;

[0030] The calculation module is used to calculate the fleet's maximum transport capacity value based on the maximum execution shift, the scheduling priority queue and the preset minimum vehicle quantization unit length.

[0031] In a third aspect, the present application provides an electronic device comprising: at least one memory for storing programs; and at least one processor for executing the programs stored in the memory. When the programs stored in the memory are executed, the processor is used to execute the fleet limit capacity assessment method based on the minimum vehicle unit described in the first aspect or any possible implementation of the first aspect.

[0032] In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program. When the computer program runs on a processor, the processor executes the fleet limit capacity assessment method based on the minimum vehicle unit described in the first aspect or any possible implementation of the first aspect.

[0033] In a fifth aspect, the present application provides a computer program product, which, when executed on a processor, enables the processor to execute the fleet limit capacity assessment method based on minimum vehicle units as described in the first aspect or any possible implementation of the first aspect.

[0034] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here.

[0035] In general, the above technical solutions conceived by this application have the following beneficial effects compared with the prior art:

[0036] By cutting all cross-sea vehicles into equal minimum vehicle quantification units, based on technical models such as ship attribute portraits, ship maximum scheduling, and ship maximum loading, the maximum capacity of the entire fleet at any time is quantitatively calculated, thereby improving the rationality and accuracy of the maximum capacity assessment, and helping passenger and vehicle ferry operators to obtain accurate and effective fleet transportation capacity information. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 It is a flow chart of a fleet limit capacity assessment method based on a minimum vehicle unit provided in an embodiment of the present application;

[0039] Figure 2 It is a structural schematic diagram of a fleet limit capacity assessment device based on a minimum vehicle unit provided in an embodiment of the present application;

[0040] Figure 3 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0042] The term "and / or" in this article is a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The symbol " / " in this article indicates that the associated objects are in an or relationship, for example, A / B means A or B.

[0043] In the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0044] In the description of the embodiments of the present application, unless otherwise specified, "multiple" means two or more than two. For example, multiple processing units refer to two or more processing units, etc.; multiple elements refer to two or more elements, etc.

[0045] Next, combine Figure 1 The fleet limit capacity assessment method based on the minimum vehicle unit provided in the embodiment of the present application is introduced.

[0046] Figure 1 is a flow chart of a fleet limit capacity assessment method based on a minimum vehicle unit provided in an embodiment of the present application, such as Figure 1 As shown, the method comprises the following steps:

[0047] Step 100, obtaining available ships, available berths and shift interval parameters within a target time period;

[0048] The present application provides an algorithm that can calculate the maximum capacity of the entire fleet in any time period in real time. The algorithm requires manual input of the calculation time interval, all available ship names, all available port berth names and shift interval parameters, where the calculation time interval, all available port berth names and all available ship names are represented by T, H and B respectively. The shift interval parameter is manually configured and is generally set according to the port conditions, waterway conditions and the minimum ship departure interval, and is represented by BI.

[0049] Alternatively, all available ship names may be represented as B{B1, B2...Bn}, and all available port berth names may be represented as H{H1, H2...Hn}.

[0050] Step 110, obtaining the maximum number of flights to be executed based on available ships, available berths and flight interval parameters within the target time period;

[0051] The maximum ship operation frequency design is used to calculate the maximum operation frequency BD within the target time period. It is the key to calculate the fleet's ultimate capacity. The maximum operation frequency design needs to consider factors such as the available ships, berth availability, minimum departure interval, and the maximum number of ships passing through the port gate.

[0052] Step 120, obtaining a scheduling priority queue based on preset ship attribute portraits corresponding to the available ships, wherein the preset ship attribute portraits include ship lane line length, ship loading and unloading time, and ship sailing time;

[0053] The preset ship attribute portrait is the attribute preset in advance for each ship, which is represented by BP. The specific portrait data includes the ship lane line length BPL, the ship loading and unloading time BPM, and the ship sailing time BPT. When the available ship name is entered into the algorithm, the preset ship attribute portraits corresponding to the available ships can be automatically obtained.

[0054] After the maximum schedule is determined, in order to avoid confusion in the departure order, it is necessary to design the ships for each schedule in advance. In order to calculate the maximum capacity, a theoretical calculation method is adopted, that is, each time a ship for a schedule is selected, the ship with the best conditions in all aspects is selected from the currently available ships for operation. The factors for determining the best conditions include the ship lane line length BPL, the ship loading and unloading time BPM, and the ship sailing time BPT.

[0055] Optionally, the berths where the ship berths are divided into far berths and near berths. When the ship berths at the far berth, the loading and unloading time of the ship will increase, that is, BPM = BPM × growth coefficient. This coefficient is relatively fixed within a certain period of time and generally takes a value of 1.2.

[0056] Step 130, based on the maximum execution shift, the scheduling priority queue and the preset minimum vehicle quantization unit length, the fleet limit capacity value is calculated.

[0057] The maximum capacity value of all available ships within the target time period refers to the sum of all capacities of all available ships under the maximum schedule design within the target time period, and is represented by {T, BM}, where T is the target time period and BM is the maximum capacity value of all available ships.

[0058] The preset minimum vehicle quantization unit length is determined according to the transported vehicle. In one embodiment of the present application, the length of a single trolley is selected as the minimum quantization unit. At the same time, considering that after the vehicle is loaded into the cabin, a certain distance of space needs to be maintained in front and behind. Therefore, the minimum vehicle quantization unit length is set to 5 meters.

[0059] Based on the preset minimum vehicle quantization unit length, the maximum capacity of each ship can be obtained. Then, based on the maximum execution shift, scheduling priority queue, and the maximum capacity of each ship, the fleet's maximum capacity value can be calculated.

[0060] The present application provides a fleet maximum capacity assessment method based on minimum vehicle units. By cutting all cross-sea vehicles into equal minimum vehicle quantization units, based on technical models such as ship attribute portraits, ship maximum scheduling, and ship maximum loading, the maximum capacity of the entire fleet at any time is quantitatively calculated, thereby improving the rationality and accuracy of the maximum capacity assessment and helping passenger and vehicle ferry operators to obtain accurate and effective fleet transportation capacity information.

[0061] In some embodiments, step 110 specifically includes:

[0062] Step 1101, when the first condition and the second condition are met, the maximum number of flights to be executed is calculated based on the available ships, available berths and flight interval parameters at each time point in the target time period;

[0063] The first condition is that the interval between two ships in the same port area should not be less than the interval parameter between ships;

[0064] The second condition is that the ships entering and leaving the port area do not gather at the port entrance.

[0065] The available berths are dynamically changing and are based on the total available berth data. 1 , H 2 ...H n} Combined with the current berths, the available berths are calculated, that is, the number of available berths HN = the total number of available berths - the number of ships in the current port. At the same time, according to the schedule, if the next ship leaves the port earlier than the next ship arrives at the port, then HN = HN + 1, and the specific available berths are {HN 1 , HN 2 ...HN n};

[0066] The ship schedule design needs to meet two conditions: first, the interval between two ships in the same port area should not be less than the interval parameter BI; second, the ships entering the port area and the ships leaving the port area cannot converge at the port entrance.

[0067] In one embodiment of the present application, from the perspective of time, the estimated arrival time TH of the ship entering the port is 1 and the departure time of the outbound vessel TH 2 The following conditions should be met:

[0068] TH 1 -TH 2 >15min||TH 2 -TH 1 >5min

[0069] That is, it is necessary to determine whether the ship that is about to arrive at the port will arrive within 15 minutes. For example, if ship A does not arrive at the port within 15 minutes, ship B can leave the port, or if ship A arrives at the port for 5 minutes, ship B can leave the port.

[0070] Because the passenger and vehicle ferries usually adopt the mode of opening in pairs, that is, the number of sailings on both sides is relatively the same, so you only need to calculate the number of sailings on one side and multiply it by 2 to get the total number of sailings in and out of the island. The calculation method is as follows:

[0071]

[0072] BD is the maximum number of flights executed during the target time period, 1 to T is the first to last moment of the target time period, and HN is the available berth.

[0073] In some embodiments, step 120 specifically includes:

[0074] Step 1201, based on the length of the ship lane, the ship loading and unloading time, the ship sailing time and the preset weight, the scheduling priority values ​​corresponding to the available ships are calculated;

[0075] Step 1202, sort the available ships in descending order according to the scheduling priority values ​​to obtain a scheduling priority queue.

[0076] The available ships at each moment are dynamically changing, so the available ships at the current moment can be represented by a queue, that is, BV = {BV 1 , B.V. 2 ...BV n}, the queue needs to form a scheduling priority queue according to the following method, that is, BVQ = {BVQ 1 , BVQ 2 ...BVQ n}, where the weight coefficients α, β and γ can be adjusted according to manual experience, and the BVQ calculation method is as follows:

[0077] BVQ=α×(BPL÷BPL 1 )+β×(BPM÷BPM 1 )+γ×(BPT÷BPT 1 )

[0078] Among them, according to the current status of the passenger and vehicle ferry fleet, it can be roughly divided into three categories: BPL 1 , BPL 2 , BPL 3 , and BPL 1 >BPL 2 >BPL 3 Ship loading and unloading time (BPM) can be roughly divided into three categories according to the length of time, namely BPM 1, BPM 2 , BPM 3 , the value will fluctuate, generally calculated on a quarterly basis, and BPM 1 <BPM 2 <BPM 3 ; Ship sailing time BPT varies from ship to ship and can be roughly divided into two categories: BPT 1 , BPT 2 , and BPT 1 <BPT 2 .

[0079] In one embodiment of the present application, BPL 1 , BPL 2 , BPL 3 Take 900m, 600m and 400m respectively, BPM 1 , BPM 2 , BPM 3 Take 2.0 minutes, 2.8 minutes and 3.2 minutes respectively, BPT 1 , BPT 2 Take 80 minutes and 96 minutes respectively.

[0080] In one embodiment of the present application, α=0.4, β=0.4, and γ=0.2.

[0081] In some embodiments, step 130 specifically includes:

[0082] Step 1301, based on the scheduling priority queue and the preset minimum vehicle quantization unit length, calculate the maximum capacity value of each ship in the scheduling priority queue;

[0083] Step 1302, in the maximum execution shift, select the ship ranked first in the scheduling priority queue as the execution ship in each shift;

[0084] Step 1303, the maximum capacity values ​​of the executing ships selected for the maximum executing shift are accumulated to obtain the fleet's maximum capacity value.

[0085] The executing ship for each shift is selected from the ship ranked first in the scheduling priority queue BVQ, and the maximum capacity of the ship is equal to the ship lane line length BPL divided by the preset minimum vehicle quantization unit length, which is equal to BPL÷5 in one embodiment of the present application.

[0086] Because each ship has some non-standard space that cannot be used for loading vehicles, it needs to be multiplied by a coefficient S. This coefficient is determined according to the design of different ships and is generally between 0.85 and 0.95.

[0087] Therefore, the maximum capacity of each ship based on the minimum vehicle quantification unit is S×BPL÷5, and the total capacity of the entire fleet during the target time period is calculated as follows:

[0088]

[0089] In some embodiments, the method further comprises:

[0090] Step 140, based on different vehicle types, setting a multiple relationship between the vehicle quantization unit lengths corresponding to the different vehicle types and a preset minimum vehicle quantization unit length;

[0091] Step 150, based on the multiple relationship and the fleet's maximum capacity value, calculate the corresponding maximum capacity values ​​of the fleet when carrying different types of vehicles.

[0092] After the calculation of {T, BM} is completed, the ultimate capacity analysis data based on the minimum quantified unit of the vehicle is obtained, and the total number of different vehicles can be converted as needed.

[0093] If the preset minimum vehicle quantitative unit length is set to 5 meters, then various types of trucks (such as 12 meters, 18 meters, 22 meters, etc.) can be converted and calculated according to this length. For example, a 22-meter truck is converted to 4.4 minimum unit lengths, buses and large trucks can be designed to be 3 to 4 minimum quantitative units, and small trucks can be designed to be 1.5 to 3 minimum quantitative units. In this way, by conversion, the number of buses, large trucks or small trucks that can be carried under the maximum capacity can be calculated respectively.

[0094] In some embodiments, the method further comprises:

[0095] Based on the historical loading and unloading time and the historical sailing time of the ship, the loading and unloading time and the sailing time of the ship in the preset ship attribute portrait are obtained.

[0096] When setting the data in the ship attribute portrait, the ship loading and unloading time BPM can be analyzed according to historical data statistics to take the historical average loading and unloading time of the ship. The ship sailing time BPT varies from ship to ship and can be analyzed according to historical data statistics to take the historical average sailing time of the ship.

[0097] Figure 2 is a schematic diagram of the structure of a fleet limit capacity assessment device based on a minimum vehicle unit provided in an embodiment of the present application, such as Figure 2 As shown, the device includes a first acquisition module 210, a second acquisition module 220, a third acquisition module 230 and a calculation module 240, wherein:

[0098] The first acquisition module 210 is used to acquire available ships, available berths and shift interval parameters within a target time period;

[0099] The second acquisition module 220 is used to obtain the maximum number of executed shifts based on the available ships, available berths and shift interval parameters within the target time period;

[0100] The third acquisition module 230 is used to obtain the scheduling priority queue based on the preset ship attribute portraits corresponding to the available ships, the preset ship attribute portraits including the ship lane line length, the ship loading and unloading time and the ship sailing time;

[0101] The calculation module 240 is used to calculate the fleet's maximum transport capacity value based on the maximum execution shift, the scheduling priority queue and the preset minimum vehicle quantization unit length.

[0102] It should be understood that the above-mentioned device is used to execute the method in the above-mentioned embodiment. The implementation principle and technical effect of the corresponding program module in the device are similar to those described in the above-mentioned method. The working process of the device can refer to the corresponding process in the above-mentioned method, which will not be repeated here.

[0103] Based on the method in the above embodiment, Figure 3 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 3 As shown, an embodiment of the present application provides an electronic device, which may include: a processor 310, a communications interface 320, a memory 330, and a communication bus 340, wherein the processor 310, the communications interface 320, and the memory 330 communicate with each other through the communication bus 340. The processor 310 may call the logic instructions in the memory 330 to execute the fleet limit capacity assessment method based on the minimum vehicle unit in the above embodiment.

[0104] In addition, the logic instructions in the above-mentioned memory 330 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or in other words, the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the fleet limit capacity assessment method based on the minimum vehicle unit described in each embodiment of the present application.

[0105] Based on the method in the above embodiment, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the computer program runs on a processor, the processor executes the fleet limit capacity assessment method based on the minimum vehicle unit in the above embodiment.

[0106] Based on the method in the above embodiment, an embodiment of the present application provides a computer program product. When the computer program product runs on a processor, the processor executes the fleet limit capacity assessment method based on the minimum vehicle unit in the above embodiment.

[0107] It is understandable that the processor in the embodiment of the present application can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. The general-purpose processor can be a microprocessor or any conventional processor.

[0108] The method steps in the embodiments of the present application can be implemented by hardware or by a processor executing software instructions. The software instructions can be composed of corresponding software modules, and the software modules can be stored in random access memory (RAM), flash memory, read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), registers, hard disks, mobile hard disks, CD-ROMs, or any other form of storage medium known in the art. An exemplary storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an ASIC.

[0109] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted through the computer-readable storage medium. The computer instructions may be transmitted from a website site, a computer, a server or a data center to another website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or a data center that includes one or more available media integrated. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state disk (SSD)), etc.

[0110] It should be understood that the various numerical numbers involved in the embodiments of the present application are only used for the convenience of description and are not used to limit the scope of the embodiments of the present application.

[0111] It will be easily understood by those skilled in the art that the above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A fleet capacity assessment method based on the minimum vehicle unit, characterized in that: include: Obtain available ships, available berths and shift interval parameters within the target time period; Based on the available ships, available berths and shift interval parameters within the target time period, a maximum number of executed shifts is obtained; Based on the preset ship attribute portraits corresponding to the available ships, respectively, a scheduling priority queue is obtained, wherein the preset ship attribute portraits include the length of the ship lane line, the length of the ship loading and unloading time, and the ship sailing time; Based on the maximum execution shift, the scheduling priority queue and the preset minimum vehicle quantization unit length, the fleet limit capacity value is calculated.

2. The fleet capacity limit assessment method based on the minimum vehicle unit according to claim 1 is characterized in that: The step of obtaining the maximum number of shifts based on the available ships, available berths and shift interval parameters within the target time period includes: When the first condition and the second condition are met, the maximum number of executed shifts is calculated based on the available ships, available berths and shift interval parameters at each time point in the target time period; The first condition is that the interval between two ships in the same port area is not less than the interval parameter between ships; The second condition is that the ships entering the port area and the ships leaving the port area do not gather at the port entrance.

3. The fleet capacity limit assessment method based on the minimum vehicle unit according to claim 1 is characterized in that: The obtaining of a scheduling priority queue based on preset ship attribute portraits corresponding to the available ships respectively includes: Based on the length of the ship lane, the ship loading and unloading time, the ship sailing time and the preset weight, the scheduling priority values ​​corresponding to the available ships are calculated; The available ships are sorted in descending order according to the scheduling priority values ​​to obtain the scheduling priority queue.

4. The fleet capacity limit assessment method based on the minimum vehicle unit according to claim 1, characterized in that: The calculating and obtaining the fleet limit capacity value based on the maximum execution shift, the scheduling priority queue and the preset minimum vehicle quantization unit length includes: Based on the scheduling priority queue and the preset minimum vehicle quantization unit length, calculating the maximum capacity value of each ship in the scheduling priority queue; In the maximum execution shift, the ship ranked first in the scheduling priority queue is selected as the execution ship in each shift; The maximum capacity values ​​of the executing ships selected for the maximum executing shift are accumulated to obtain the maximum capacity value of the fleet.

5. The fleet limit capacity assessment method based on the minimum vehicle unit according to claim 1 is characterized in that: The method further comprises: Based on different vehicle types, setting a multiple relationship between the vehicle quantization unit lengths corresponding to different vehicle types and the preset minimum vehicle quantization unit length; Based on the multiple relationship and the fleet's maximum transport capacity value, the maximum transport capacity values ​​corresponding to the fleet when carrying different types of vehicles are calculated.

6. The fleet limit capacity assessment method based on the minimum vehicle unit according to claim 1 is characterized in that: The method further comprises: Based on the historical ship loading and unloading time and the historical ship sailing time of the ship, the ship loading and unloading time and the ship sailing time in the preset ship attribute portrait are obtained.

7. A fleet capacity assessment device based on the minimum vehicle unit, characterized in that: include: The first acquisition module is used to obtain available ships, available berths and shift interval parameters within a target time period; A second acquisition module is used to obtain the maximum number of executed shifts based on the available ships, available berths and shift interval parameters within the target time period; A third acquisition module is used to obtain a scheduling priority queue based on preset ship attribute portraits corresponding to the available ships, wherein the preset ship attribute portraits include ship lane line length, ship loading and unloading time, and ship sailing time; The calculation module is used to calculate the fleet's maximum transport capacity value based on the maximum execution shift, the scheduling priority queue and the preset minimum vehicle quantization unit length.

8. An electronic device, characterized in that: include: at least one memory for storing a computer program; At least one processor is used to execute the program stored in the memory. When the program stored in the memory is executed, the processor is used to execute the fleet limit capacity assessment method based on the minimum vehicle unit as described in any one of claims 1-6.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program runs on a processor, the processor is enabled to execute the fleet limit capacity assessment method based on minimum vehicle units as described in any one of claims 1 to 6.

10. A computer program product, characterized in that When the computer program product runs on a processor, the processor is enabled to execute the fleet limit capacity assessment method based on minimum vehicle units as described in any one of claims 1 to 6.

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