Method and device for evaluating comprehensive capability of ro-ro passenger ship based on ship portrait

Abstract

The invention belongs to the technical field of data processing, and particularly discloses a passenger rolling ship comprehensive capability evaluation method and device based on a ship portrait, and the method comprises the steps: carrying out the quantitative calculation of each capability dimension of a ship according to the ship portrait, and obtaining a comprehensive capability evaluation index of the ship; each capability dimension comprises a lane line length, an operation profit rate, an average single vehicle shipment time length, an average loading rate, fuel oil consumption per ten thousand yuan income, operation intensity and a maintenance cost ratio; generating a comprehensive capability view of the ship according to the comprehensive capability evaluation index, and displaying the comprehensive capability view in a radar map mode; determining a weight coefficient of each dimension according to the influence of each dimension, and determining a ship comprehensive capability quantized value according to each weight coefficient, the coordinate maximum value and the quantized maximum value; and sorting is performed according to the comprehensive capability quantized value of each ship, ship grading processing is performed according to the capability evaluation queue, and a grade classification result of the ships is obtained. According to the invention, the accuracy, scientificity and reliability of the evaluation result can be improved.

Description

Technical Field

[0001] The present application belongs to the field of data processing technology, and more specifically, relates to a method and device for evaluating the comprehensive capabilities of a passenger and vehicle ferry based on ship portraits. Background Art

[0002] During peak periods, daily transport vehicles in the Straits passenger and freight transport are operating at high levels most of the time, while during non-holiday periods, daily transport vehicles are operating at low levels most of the time.

[0003] In this extremely unbalanced state, it is necessary to implement a fine-grained assessment of the comprehensive capabilities of different types of passenger and vehicle ferries in order to maximize transportation efficiency and benefits. However, the current assessment of passenger and vehicle ferries' capabilities is still mainly based on manual experience, and there is a lack of quantitative analysis technology. Specifically, there are the following problems:

[0004] 1. The existing passenger and vehicle ferries have certain differences in length, rated load, carrying capacity, loading and unloading methods, etc. due to different construction years, and there is a lack of objective and quantitative horizontal comparison indicators between different ships.

[0005] 2. Most of the existing methods for evaluating the comprehensive capabilities of ships are estimation methods based on manual experience, or comprehensive evaluation methods based on simple indicators such as length, cargo capacity, and rated load, and have not yet involved factors such as ship loading efficiency, operating costs, and maintenance cycles.

[0006] 3. The existing ship comprehensive capability assessment method lacks quantification of key indicators, cannot classify the comprehensive capabilities of ships based on quantitative indicators, and cannot provide a decision-making basis for the manufacture of new ships.

[0007] In summary, the existing ship comprehensive capability assessment methods lack systematic and quantitative indicators, resulting in low accuracy, reliability and scientificity of the assessment results. Summary of the invention

[0008] In view of the defects of the prior art, the purpose of this application is to provide a method and device for comprehensive capability assessment of passenger and vehicle ships based on ship portraits, aiming to solve the problem that the assessment results of the ship comprehensive capability assessment method are not accurate, reliable and scientific.

[0009] In a first aspect, the present application provides a method for evaluating the comprehensive capability of a ro-ro passenger ship based on a ship portrait, comprising:

[0010] Obtain a ship portrait of a ro-passenger ship, and perform quantitative calculations of various ship capacity dimensions based on the ship portrait to obtain a comprehensive ship capacity evaluation index; the various capacity dimensions include lane line length, operating profit margin, average single vehicle loading time, average loading rate, fuel consumption per 10,000 yuan of revenue, operating intensity, and maintenance cost ratio;

[0011] Generate a comprehensive capability view of the ship according to the comprehensive capability evaluation index, and display the comprehensive capability view in a radar chart mode; the maximum value of the coordinates of each dimension of the radar chart is obtained by multiplying the quantized maximum value of each dimension by a preset coefficient;

[0012] Determine the weight coefficient of each dimension according to the influence of each dimension, and determine the quantified value of the ship's comprehensive capability according to each weight coefficient, the maximum coordinate value and the quantified maximum value;

[0013] The ships are sorted according to the quantified value of their comprehensive capabilities to obtain a comprehensive capability evaluation queue, and the ships are graded according to the capability evaluation queue to obtain a grade classification result for each ship.

[0014] Optionally, the method for obtaining the operating profit margin includes:

[0015] Determine the average monthly operating income and average monthly operating cost of the ship based on the ship portrait;

[0016] Determine the annual cumulative operating income, annual cumulative operating costs and annual cumulative profits based on the average monthly operating income and average monthly operating costs;

[0017] The operating profit margin is determined based on the ratio of annual cumulative profit to annual cumulative operating income.

[0018] Optionally, the method for obtaining the average single-vehicle loading time includes:

[0019] Get the boarding time of the last vehicle and the boarding time of the first vehicle to determine the boarding time difference;

[0020] The average loading time per vehicle is determined according to the boarding time difference, the total number of vehicles loaded on the i-th voyage and the total number of voyages; wherein i is a positive integer.

[0021] Optionally, the method for obtaining the average loading rate includes:

[0022] Determine the total length of vehicles loaded on the ship based on the length of each vehicle and the number of vehicles on this voyage;

[0023] Determine the average loading ratio of each voyage of the ship according to the total length of vehicles loaded on the ship, the total length of lane lines and a preset available space coefficient in the cabin;

[0024] Based on the sum of the average loading ratio of each voyage, the ship loading capacity of all voyages is obtained;

[0025] The average loading rate is determined based on the total number of voyages and the ship loading capacity of all voyages.

[0026] Optionally, the method for obtaining the fuel consumption per 10,000 yuan of income includes:

[0027] Obtaining average monthly fuel consumption based on the ship portrait;

[0028] Determine the fuel consumption per 10,000 yuan of income based on the average monthly fuel consumption and the average monthly operating income;

[0029] Methods for obtaining the maintenance cost ratio include:

[0030] Obtaining the annual maintenance expenses and annual cost of the ship based on the ship portrait;

[0031] The proportion of maintenance expenses is determined based on the annual maintenance expenses of the ship and the annual cost of the ship.

[0032] Optionally, the method for obtaining the operating intensity includes:

[0033] Sum up the working hours of each voyage to get the total working hours of all voyages;

[0034] The natural day duration is determined according to the number of natural days and the daily duration, and the operation intensity is determined based on the total working hours and the natural day duration.

[0035] Optionally, determining the weight coefficient of each dimension according to the influence of each dimension, and determining the quantized value of the ship's comprehensive capability according to each weight coefficient, the maximum coordinate value, and the maximum quantized value, includes:

[0036] Accepting user input, and determining the weight coefficient of each dimension based on the user input, wherein the user input is an operation of setting the weight coefficient according to influence;

[0037] The capacity quantification value of each dimension is calculated according to the weight coefficient, coordinate maximum value and quantification maximum value of each dimension, and the capacity quantification value of each dimension is weighted and summed to obtain the comprehensive capacity quantification value of the ship.

[0038] In a second aspect, the present application also provides a comprehensive capability assessment device for a passenger and vehicle ro-ro ship based on a ship portrait, comprising:

[0039] An acquisition module is used to acquire a ship portrait of a ro-ro passenger ship, and to perform quantitative calculations of various ship capability dimensions based on the ship portrait to obtain a comprehensive ship capability evaluation index; the various capability dimensions include lane line length, operating profit margin, average single vehicle loading time, average loading rate, fuel consumption per 10,000 yuan of revenue, operating intensity, and maintenance cost ratio;

[0040] A generating module, used for generating a comprehensive capability view of the ship according to the comprehensive capability evaluation index, and displaying the comprehensive capability view in a radar chart mode; the maximum value of the coordinates of each dimension of the radar chart is obtained by multiplying the quantized maximum value of each dimension by a preset coefficient;

[0041] A weighting module, used to determine the weight coefficient of each dimension according to the influence of each dimension, and determine the quantized value of the ship's comprehensive capability according to each weight coefficient, the maximum coordinate value and the maximum quantized value;

[0042] The grading module is used to sort the ships according to the quantified value of the comprehensive capability of each ship to obtain a comprehensive capability evaluation queue, and to perform ship grading processing according to the capability evaluation queue to obtain a grade classification result for each ship.

[0043] 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 program stored in the memory is executed, the processor is used to execute the method described in the first aspect or any possible implementation of the first aspect.

[0044] In a fourth aspect, 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 method described in the first aspect or any possible implementation of the first aspect.

[0045] In a fifth aspect, the present application provides a computer program product. When the computer program product runs on a processor, the processor executes the method described in the first aspect or any possible implementation of the first aspect.

[0046] 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.

[0047] In general, the above technical solutions conceived by this application have the following beneficial effects compared with the prior art:

[0048] (1) This application first establishes a number of key indicators for the comprehensive capabilities of passenger and vehicle ferries, including lane length, operating profit margin, average loading time per vehicle, average loading rate, fuel consumption per 10,000 yuan of revenue, operating intensity, and maintenance cost ratio. These indicators comprehensively reflect the operational performance, economic benefits, and maintenance efficiency of the ship. Through horizontal comparison and quantitative evaluation, the comprehensive capabilities of the ship can be intuitively understood, overcoming the shortcomings of previous evaluations that relied only on a single dimension, and improving the accuracy, scientificity, and reliability of the evaluation results.

[0049] (2) This application conducts a weighted analysis on each capability dimension and determines the weight coefficient of each dimension in combination with the influence, making the calculation method of the comprehensive capability quantification value more reasonable and scientific. It not only focuses on a single dimension, but also considers the mutual influence between the dimensions, thus achieving a comprehensive consideration of multiple capabilities of all ships. The final generated ship capability ranking list can provide a basis for the classification of ships, which helps to make more accurate choices based on the classification results when conducting ship management and decision-making.

[0050] (3) This application can intuitively display the performance of each ship in various capability dimensions by converting the comprehensive capability evaluation indicators into a visual form of a radar chart. By combining the comprehensive capability classification list, it can provide scientific data support for the use, scheduling, optimization and construction of ships, which will help make design optimization decisions during ship construction and improve overall operational efficiency.

[0051] (4) This application not only improves the accuracy of the comprehensive capacity assessment of passenger and vehicle ferries by establishing a complete assessment index system and scientific calculation methods, but also provides solid data support and decision-making basis for ship management, thereby improving the accuracy, reliability and scientificity of the assessment results. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is one of the flow charts of the comprehensive capability assessment method of a ro-ro passenger ship based on a ship portrait provided in an embodiment of the present application;

[0053] Figure 2 is a radar chart of each ship provided in an embodiment of the present application;

[0054] Figure 3 This is the second flow chart of the comprehensive capability assessment method of a ro-ro passenger ship based on a ship portrait provided in an embodiment of the present application;

[0055] Figure 4 It is a structural schematic diagram of a comprehensive capability assessment device for a ro-ro passenger ship based on a ship portrait provided in an embodiment of the present application;

[0056] Figure 5 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0057] 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.

[0058] 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.

[0059] The terms "first" and "second" in the specification and claims herein are used to distinguish different objects rather than to describe a specific order of the objects. For example, a first response message and a second response message are used to distinguish different response messages rather than to describe a specific order of the response messages.

[0060] 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.

[0061] 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.

[0062] Next, the technical solutions provided in the embodiments of the present application are introduced.

[0063] Reference Figure 1 The present application provides a comprehensive capability assessment method for a passenger and vehicle ferry based on a ship portrait, comprising:

[0064] S101. Obtain a ship portrait of a ro-ro passenger ship, and perform quantitative calculations of various ship capability dimensions based on the ship portrait to obtain a comprehensive ship capability evaluation index; the various capability dimensions include lane length, operating profit margin, average single vehicle loading time, average loading rate, fuel consumption per 10,000 yuan of revenue, operating intensity, and maintenance cost ratio;

[0065] S102. Generate a comprehensive capability view of the ship according to the comprehensive capability evaluation index, and display the comprehensive capability view in a radar chart mode; the maximum value of the coordinates of each dimension of the radar chart is obtained by multiplying the quantized maximum value of each dimension by a preset coefficient;

[0066] S103. Determine the weight coefficient of each dimension according to the influence of each dimension, and determine the quantized value of the ship's comprehensive capability according to each weight coefficient, the maximum coordinate value and the maximum quantized value;

[0067] S104. Sort the ships according to the quantified value of their comprehensive capabilities to obtain a comprehensive capability evaluation queue, and perform ship classification processing according to the capability evaluation queue to obtain a grade classification result for each ship.

[0068] Specifically, first, through S101, basic information of the ship is obtained from multiple aspects such as the design, operation and maintenance of the ro-ro passenger ship to form a ship portrait. The ship portrait refers to a dimensional portrait of each ship established based on historical data such as the ro-ro passenger ship navigation data, operation data, efficiency data, etc., mainly including the ship lane line length L, rated load M, average monthly operating income E, average monthly operating cost Ct, average monthly fuel consumption Oc, etc.

[0069] Quantitative calculations are performed on each capability dimension, including lane length, operating profit margin, average single-vehicle loading time, average loading rate, fuel consumption per 10,000 yuan of revenue, operating intensity, and maintenance cost ratio. The following is a brief description of each capability dimension:

[0070] The lane line length is a static indicator, which can be recorded as Bl, that is, the lane line length when the ship is manufactured, representing the maximum total length of vehicles that the ship can load, that is, Bl = L. This parameter reflects the loading capacity of the ship. The longer the lane line means that it can accommodate more vehicles; the operating profit rate Bp reflects the economic benefits that the ship can achieve during operation; the average single vehicle loading time Be indicator describes the loading time of each vehicle on the ship; the average loading rate Bld quantitatively characterizes the loading efficiency of the ship; the fuel consumption per 10,000 yuan of income Bo is used to evaluate the economic operation efficiency of the ship; the operating intensity Bs represents the operating time and transportation capacity of the ship, reflecting the intensity of ship use; the maintenance cost ratio Bmt represents the cost of ship operation, which directly affects the overall profitability.

[0071] By collecting and analyzing data on the above indicators, a comprehensive capacity evaluation index system for passenger and vehicle ferries is formed to provide quantitative support.

[0072] Secondly, through S102, radar chart as a visualization tool can directly show the performance of the ship in various dimensions. The specific steps include:

[0073] Determine the dimensions of the radar chart, and the maximum value of the coordinates of each dimension is calculated by multiplying the maximum value of the quantization of each dimension by a preset coefficient (e.g. 1.2) to ensure that all dimensions are compared on the same scale, thereby improving the readability and accuracy of the diagram. The values ​​of each ship in these seven capability dimensions are mapped to the radar chart, and the resulting graph will effectively show the capability differences between different ships, making it easier for users to compare and analyze.

[0074] This embodiment completes the quantitative calculation of all ship capability dimensions to generate the comprehensive capability evaluation index Bw{Bl, Bp, Be, B1d, Bo, Bs, Bmt} of each ship. According to the Bw value, the comprehensive capability view of each ship is generated and represented in a radar chart mode, where the maximum coordinate value Bw of each dimension in the radar chart is max {Bl max , Bp max 、Be max 、B1d max ,Bo max , Bs max 、Bmt max}By comparing each ship, the maximum value of each dimension is obtained, and multiplied by the coefficient 1.2 to obtain the maximum coordinate value, as shown below: Figure 2 shown.

[0075] Further, through S103, in order to more accurately evaluate the impact of each capability dimension, it is necessary to determine the weight coefficient of each dimension based on industry experience or data analysis.

[0076] The weight coefficient can be determined by collecting expert opinions and historical data in the industry, analyzing the actual impact of each capability indicator on the overall operational performance of the ship, and then determining the weight distribution. When calculating the quantitative value of the ship's comprehensive capability, a comprehensive score is made based on the weight coefficient of each dimension, the maximum value of the coordinates, and the maximum value of the quantification of each dimension to obtain a comprehensive quantitative value, which reflects the comprehensive capability of each ship and facilitates further analysis and decision-making.

[0077] Finally, in step S104, the ships are sorted according to the calculated comprehensive capability quantification value of each ship to form a comprehensive capability evaluation queue. According to the above steps S101-S103, the comprehensive capability quantification value Bat of all ships is calculated, and the Bat values ​​are sorted to obtain a BatQ queue, which can be used as BatQ {Bat1, Bat2, ...Bat n}express.

[0078] Optionally, the quantified values ​​of the comprehensive capabilities of the ships are arranged in descending order, with the ships with the highest performance at the front; the ships are graded according to the set evaluation criteria, and common classifications may include "excellent", "medium" and "poor". These classification results can reflect the relative advantages of the ships and help ship managers make decisions in terms of use, scheduling, maintenance and construction.

[0079] This application establishes several key indicators for the comprehensive capabilities of passenger and vehicle ferries, including lane line length, operating profit margin, average single vehicle loading time, average loading rate, fuel consumption per 10,000 yuan of revenue, operating intensity and proportion of maintenance costs. These indicators comprehensively reflect the operational performance, economic benefits and maintenance efficiency of the ship. Through horizontal comparison and quantitative evaluation, we can intuitively understand the comprehensive capabilities of the ship, overcome the shortcomings of previous reliance on single-dimensional evaluation, and improve the accuracy, scientificity and reliability of the evaluation results.

[0080] Optionally, the method for obtaining the operating profit margin includes:

[0081] Determine the average monthly operating income and average monthly operating cost of the ship based on the ship portrait;

[0082] Determine the annual cumulative operating income, annual cumulative operating costs and annual cumulative profits based on the average monthly operating income and average monthly operating costs;

[0083] The operating profit margin is determined based on the ratio of annual cumulative profit to annual cumulative operating income.

[0084] Specifically, the ship operating profit rate Bp in this embodiment is used to quantitatively characterize the profitability of the ship, specifically the ratio between the annual cumulative profit and the annual cumulative operating income of the ship, and is generally calculated using the following formula:

[0085]

[0086] Among them, E is the average monthly operating income and Ct is the average monthly operating cost.

[0087] Optionally, the method for obtaining the average single-vehicle loading time includes:

[0088] Get the boarding time of the last vehicle and the boarding time of the first vehicle to determine the boarding time difference;

[0089] The average loading time per vehicle is determined according to the boarding time difference, the total number of vehicles loaded on the i-th voyage and the total number of voyages; wherein i is a positive integer.

[0090] Specifically, in this embodiment, the average single-vehicle loading time Be is used to quantitatively characterize the loading efficiency of the ship, specifically, the average loading time of each vehicle during each voyage of the ship, which is generally calculated using the following formula:

[0091]

[0092] Where N is the total number of voyages, T2 is the time when the last vehicle boarded the ship, T1 is the time when the first vehicle boarded the ship, and A i Represents the total number of vehicles loaded in the i-th voyage.

[0093] Optionally, the method for obtaining the average loading rate includes:

[0094] Determine the total length of vehicles loaded on the ship based on the length of each vehicle and the number of vehicles on this voyage;

[0095] Determine the average loading ratio of each voyage of the ship according to the total length of vehicles loaded on the ship, the total length of lane lines and a preset available space coefficient in the cabin;

[0096] Based on the sum of the average loading ratio of each voyage, the ship loading capacity of all voyages is obtained;

[0097] The average loading rate is determined based on the total number of voyages and the ship loading capacity of all voyages.

[0098] Specifically, in this embodiment, the ship average loading rate Bld is used to quantitatively characterize the average loading ratio of each voyage of the ship, specifically the ratio of the total length of vehicles loaded on the ship to the total length of the lane line L. Considering that there is a certain space in the cabin of different ships that cannot load vehicles, it is necessary to multiply the total length of the lane line by an available coefficient, which is generally calculated using the following formula:

[0099]

[0100] Among them, n is the number of vehicles on this voyage, X i is the length of the i-th vehicle, L is the total length of the lane line, α is the available space coefficient in the cabin, and M is the total number of voyages.

[0101] Optionally, the method for obtaining the fuel consumption per 10,000 yuan of income includes:

[0102] Obtaining average monthly fuel consumption based on the ship portrait;

[0103] Determine the fuel consumption per 10,000 yuan of income based on the average monthly fuel consumption and the average monthly operating income;

[0104] Specifically, the fuel consumption per 10,000 yuan of revenue Bo is used to quantitatively characterize the contribution of the ship's fuel consumption. It is specifically the ratio of the ship's average monthly operating revenue E to its average monthly fuel consumption Oc, and is generally calculated using the following formula:

[0105]

[0106] Among them, Bo is the fuel consumption per ten thousand yuan of income, and Oc is the average monthly fuel consumption.

[0107] Methods for obtaining the maintenance cost ratio include:

[0108] Obtaining the annual maintenance expenses and annual cost of the ship based on the ship portrait;

[0109] The proportion of maintenance expenses is determined based on the annual maintenance expenses of the ship and the annual cost of the ship.

[0110] Specifically, the ship maintenance cost ratio Bmt is used to quantitatively characterize the proportion of the ship maintenance cost to the total cost. It can describe the maintenance ratio of the ship, specifically the ratio of the annual maintenance cost to the annual total cost, and is generally calculated using the following formula:

[0111]

[0112] Among them, Bmt is the proportion of ship maintenance costs, C1 is the annual maintenance cost of the ship, and C2 is the annual cost of the ship.

[0113] Optionally, the method for obtaining the operating intensity includes:

[0114] Sum up the working hours of each voyage to get the total working hours of all voyages;

[0115] The natural day duration is determined according to the number of natural days and the daily duration, and the operation intensity is determined based on the total working hours and the natural day duration.

[0116] Specifically, the operating intensity Bs is used to quantitatively characterize the proportion of the normal operating time of the ship, which is the ratio of the total working hours of the ship to the total time of the natural day, and is generally calculated using the following formula:

[0117]

[0118] Where N is the total number of voyages, H is the working time of the i-th voyage, Y is the number of natural days, and 24 is the daily working time.

[0119] Optionally, determining the weight coefficient of each dimension according to the influence of each dimension, and determining the quantized value of the ship's comprehensive capability according to each weight coefficient, the maximum coordinate value, and the maximum quantized value, includes:

[0120] Accepting user input, and determining the weight coefficient of each dimension based on the user input, wherein the user input is an operation of setting the weight coefficient according to influence;

[0121] The capacity quantification value of each dimension is calculated according to the weight coefficient, coordinate maximum value and quantification maximum value of each dimension, and the capacity quantification value of each dimension is weighted and summed to obtain the comprehensive capacity quantification value of the ship.

[0122] Specifically, in this embodiment, a weight coefficient is set for each dimensional factor in the comprehensive capability evaluation index to calculate the quantified value Bat of the ship's comprehensive capability. Generally, the three indicators of lane length Bl, operating profit rate Bp, and fuel consumption per 10,000 yuan of revenue Bo have a greater impact on the ship's operating capacity and can be set with a larger weight. The average single-vehicle loading time Be, average loading rate Bld, operating intensity Bs, and maintenance cost ratio Bmt are secondary influencing factors with smaller weights, which can be calculated by the following formula:

[0123] Bat=0.22×(Bl / Bl max )+0.2×(Bp / Bp max )+0.18

[0124] ×(Bo / Bo max )+0.15×(Be / Be max )+0.12

[0125] ×(Bld / Bld max )+0.08×(Bs / Bs max )+0.05

[0126] ×(Bmt / Bmt max )

[0127] Among them, the above parameters such as 0.22, 0.15, etc. are all determined based on historical data and can be adjusted according to actual conditions. They are only for example here.

[0128] Reference Figure 3 , this application provides a comprehensive capability assessment method for passenger and vehicle ro-ro ships based on ship portraits, and the complete process includes the following steps:

[0129] According to the ship portrait data, the ship lane length B1 and the ship operating profit margin BD and other seven dimensions are calculated;

[0130] Complete the quantification of 7 dimensions of all ship capabilities;

[0131] Establish a comprehensive capability view of each ship based on quantitative indicators in 7 dimensions;

[0132] Combine the weight coefficients of each dimension to calculate the quantitative value Bat of the ship's comprehensive capability;

[0133] A ship capability grading list consisting of excellent, medium and poor is established based on the comprehensive capability value sequence.

[0134] Reference Figure 4 The present application also provides a comprehensive capability assessment device for a passenger and vehicle ferry based on a ship portrait, comprising:

[0135] The acquisition module 410 is used to acquire a ship portrait of a ro-ro passenger ship, and perform quantitative calculations of various ship capability dimensions according to the ship portrait to obtain a comprehensive capability evaluation index of the ship; the various capability dimensions include lane length, operating profit margin, average single vehicle loading time, average loading rate, fuel consumption per 10,000 yuan of revenue, operating intensity, and maintenance cost ratio;

[0136] A generating module 420 is used to generate a comprehensive capability view of the ship according to the comprehensive capability evaluation index, and display the comprehensive capability view in a radar chart mode; the maximum value of the coordinates of each dimension of the radar chart is obtained by multiplying the quantized maximum value of each dimension by a preset coefficient;

[0137] A weighting module 430 is used to determine a weight coefficient of each dimension according to the influence of each dimension, and determine a quantized value of the ship's comprehensive capability according to each weight coefficient, a coordinate maximum value, and a quantized maximum value;

[0138] The grading module 440 is used to sort the ships according to the comprehensive capability quantification value of each ship to obtain a comprehensive capability evaluation queue, and perform ship grading processing according to the capability evaluation queue to obtain a grade classification result of each ship.

[0139] Optionally, the method for obtaining the operating profit margin includes:

[0140] Determine the average monthly operating income and average monthly operating cost of the ship based on the ship portrait;

[0141] Determine the annual cumulative operating income, annual cumulative operating costs and annual cumulative profits based on the average monthly operating income and average monthly operating costs;

[0142] The operating profit margin is determined based on the ratio of annual cumulative profit to annual cumulative operating income.

[0143] Optionally, the method for obtaining the average single-vehicle loading time includes:

[0144] Get the boarding time of the last vehicle and the boarding time of the first vehicle to determine the boarding time difference;

[0145] The average loading time per vehicle is determined according to the boarding time difference, the total number of vehicles loaded on the i-th voyage and the total number of voyages; wherein i is a positive integer.

[0146] Optionally, the method for obtaining the average loading rate includes:

[0147] Determine the total length of vehicles loaded on the ship based on the length of each vehicle and the number of vehicles on this voyage;

[0148] Determine the average loading ratio of each voyage of the ship according to the total length of vehicles loaded on the ship, the total length of lane lines and a preset available space coefficient in the cabin;

[0149] Based on the sum of the average loading ratio of each voyage, the ship loading capacity of all voyages is obtained;

[0150] The average loading rate is determined based on the total number of voyages and the ship loading capacity of all voyages.

[0151] Optionally, the method for obtaining the fuel consumption per 10,000 yuan of income includes:

[0152] Obtaining average monthly fuel consumption based on the ship portrait;

[0153] Determine the fuel consumption per 10,000 yuan of income based on the average monthly fuel consumption and the average monthly operating income;

[0154] Methods for obtaining the maintenance cost ratio include:

[0155] Obtaining the annual maintenance expenses and annual cost of the ship based on the ship portrait;

[0156] The proportion of maintenance expenses is determined based on the annual maintenance expenses of the ship and the annual cost of the ship.

[0157] Optionally, the method for obtaining the operating intensity includes:

[0158] Sum up the working hours of each voyage to get the total working hours of all voyages;

[0159] The natural day duration is determined according to the number of natural days and the daily duration, and the operation intensity is determined based on the total working hours and the natural day duration.

[0160] Optionally, determining the weight coefficient of each dimension according to the influence of each dimension, and determining the quantized value of the ship's comprehensive capability according to each weight coefficient, the maximum coordinate value, and the maximum quantized value, includes:

[0161] Accepting user input, and determining the weight coefficient of each dimension based on the user input, wherein the user input is an operation of setting the weight coefficient according to influence;

[0162] The capacity quantification value of each dimension is calculated according to the weight coefficient, coordinate maximum value and quantification maximum value of each dimension, and the capacity quantification value of each dimension is weighted and summed to obtain the comprehensive capacity quantification value of the ship.

[0163] It can be understood that the detailed functional implementation of each of the above-mentioned units / modules can be found in the introduction of the aforementioned method embodiment, and will not be repeated here.

[0164] 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.

[0165] Reference Figure 5 Based on the method in the above embodiment, the embodiment of the present application provides an electronic device, which may include: a processor (processor) 510, a communication interface (CommunicationsInterface) 520, a memory (memory) 530 and a communication bus 540, wherein the processor 510, the communication interface 520, and the memory 530 communicate with each other through the communication bus 540. The processor 510 can call the logic instructions in the memory 530 to execute the method in the above embodiment.

[0166] In addition, the logic instructions in the above-mentioned memory 530 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, or 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, which is stored in a storage medium and includes a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application.

[0167] 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 method in the above embodiment.

[0168] 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 method in the above embodiment.

[0169] 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.

[0170] 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.

[0171] 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.

[0172] 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.

[0173] 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 comprehensive capability assessment method for ro-ro passenger ships based on ship portraits, characterized in that: include: Obtain a ship portrait of a ro-passenger ship, and perform quantitative calculations of various ship capacity dimensions based on the ship portrait to obtain a comprehensive ship capacity evaluation index; the various capacity dimensions include lane line length, operating profit margin, average single vehicle loading time, average loading rate, fuel consumption per 10,000 yuan of revenue, operating intensity, and maintenance cost ratio; Generate a comprehensive capability view of the ship according to the comprehensive capability evaluation index, and display the comprehensive capability view in a radar chart mode; the maximum value of the coordinates of each dimension of the radar chart is obtained by multiplying the quantized maximum value of each dimension by a preset coefficient; Determine the weight coefficient of each dimension according to the influence of each dimension, and determine the quantified value of the ship's comprehensive capability according to each weight coefficient, the maximum coordinate value and the quantified maximum value; The ships are sorted according to the quantified value of their comprehensive capabilities to obtain a comprehensive capability evaluation queue, and the ships are graded according to the capability evaluation queue to obtain a grade classification result for each ship.

2. The comprehensive capability assessment method of a ro-ro passenger ship based on ship portrait according to claim 1 is characterized in that: The method for obtaining the operating profit rate includes: Determine the average monthly operating income and average monthly operating cost of the ship based on the ship portrait; Determine the annual cumulative operating income, annual cumulative operating costs and annual cumulative profits based on the average monthly operating income and average monthly operating costs; The operating profit margin is determined based on the ratio of annual cumulative profit to annual cumulative operating income.

3. The comprehensive capability assessment method of a ro-ro passenger ship based on ship portrait according to claim 1 is characterized in that: The method for obtaining the average single-vehicle loading time includes: Get the boarding time of the last vehicle and the boarding time of the first vehicle to determine the boarding time difference; The average loading time per vehicle is determined according to the boarding time difference, the total number of vehicles loaded on the i-th voyage and the total number of voyages; wherein i is a positive integer.

4. The comprehensive capability assessment method of a ro-ro passenger ship based on ship portrait according to claim 1 is characterized in that: The method for obtaining the average loading rate includes: Determine the total length of vehicles loaded on the ship based on the length of each vehicle and the number of vehicles on this voyage; Determine the average loading ratio of each voyage of the ship according to the total length of vehicles loaded on the ship, the total length of lane lines and a preset available space coefficient in the cabin; Based on the sum of the average loading ratio of each voyage, the ship loading capacity of all voyages is obtained; The average loading rate is determined based on the total number of voyages and the ship loading capacity of all voyages.

5. The comprehensive capability assessment method of a ro-ro passenger ship based on ship portrait according to claim 2 is characterized in that: The method for obtaining the fuel consumption per 10,000 yuan of income includes: Obtaining average monthly fuel consumption based on the ship portrait; Determine the fuel consumption per 10,000 yuan of income based on the average monthly fuel consumption and the average monthly operating income; Methods for obtaining the maintenance cost ratio include: Obtaining the annual maintenance expenses and annual cost of the ship based on the ship portrait; The proportion of maintenance expenses is determined based on the annual maintenance expenses of the ship and the annual cost of the ship.

6. The comprehensive capability assessment method of a ro-ro passenger ship based on ship portrait according to claim 1 is characterized in that: The method for obtaining the operating intensity includes: Sum up the working hours of each voyage to get the total working hours of all voyages; The natural day duration is determined according to the number of natural days and the daily duration, and the operation intensity is determined based on the total working hours and the natural day duration.

7. The comprehensive capability assessment method of a ro-ro passenger ship based on ship portrait according to claim 1 is characterized in that: Determining the weight coefficient of each dimension according to the influence of each dimension, and determining the quantized value of the ship's comprehensive capability according to each weight coefficient, the maximum coordinate value and the maximum quantized value, includes: Accepting user input, and determining the weight coefficient of each dimension based on the user input, wherein the user input is an operation of setting the weight coefficient according to influence; The capacity quantification value of each dimension is calculated according to the weight coefficient, coordinate maximum value and quantification maximum value of each dimension, and the capacity quantification value of each dimension is weighted and summed to obtain the comprehensive capacity quantification value of the ship.

8. A comprehensive capability assessment device for a passenger and vehicle ro-ro ship based on ship portraits, characterized in that: include: An acquisition module is used to acquire a ship portrait of a ro-ro passenger ship, and to perform quantitative calculations of various ship capability dimensions based on the ship portrait to obtain a comprehensive ship capability evaluation index; the various capability dimensions include lane line length, operating profit margin, average single vehicle loading time, average loading rate, fuel consumption per 10,000 yuan of revenue, operating intensity, and maintenance cost ratio; A generating module, used for generating a comprehensive capability view of a ship according to the comprehensive capability evaluation index, and displaying the comprehensive capability view in a radar chart mode; The maximum value of the coordinates of each dimension of the radar chart is obtained by multiplying the quantized maximum value of each dimension by a preset coefficient; A weighting module, used to determine the weight coefficient of each dimension according to the influence of each dimension, and determine the quantized value of the ship's comprehensive capability according to each weight coefficient, the maximum coordinate value and the maximum quantized value; The grading module is used to sort the ships according to the quantified value of the comprehensive capability of each ship to obtain a comprehensive capability evaluation queue, and to perform ship grading processing according to the capability evaluation queue to obtain a grade classification result for each ship.

9. 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 method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program runs on a processor, the processor is caused to execute the method according to any one of claims 1 to 7.

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