Method, equipment and medium for evaluating and optimizing ship linetype based on hydrodynamic performance

Abstract

The invention belongs to the technical field of ship design, and particularly relates to a method and equipment for evaluating and optimizing a ship linetype based on hydrodynamic performance and a medium. Compared with the prior art, the method, the equipment and the medium provided by the invention have the advantages that elements such as the constructed index weight vector and the fuzzy evaluation matrix can be utilized, and the evaluation method which comprehensively and accurately reflects the linear performance of the ship is constructed in combination with the actual operation data collected by the ship under the specific operation condition. The evaluation method can provide powerful support for research and development design of a new ship linetype and performance optimization of an existing ship linetype, and is beneficial to promoting technical progress and sustainable development of the ship industry.

Description

Technical Field

[0001] The present application belongs to the field of ship design technology, and specifically relates to methods, equipment and media for evaluating and optimizing ship lines based on hydrodynamic performance. Background Art

[0002] Early ship type line optimization design was limited by technical means and mainly relied on the data accumulation of a series of mother ships and the practical experience of designers. Designers tried to achieve the goals of improving ship navigation performance, reducing resistance, and improving fuel efficiency by adjusting and improving relevant parameters such as the main dimensions of the ship, the proportion of the lines, and the shape of the hull section. However, the efficiency and accuracy of this method largely rely on the personal experience and intuition of the designer, and the design cycle is long. As a means of verification, although the ship model test can more realistically simulate the behavior of the ship in the water, its high cost, complex operating procedures, and long test cycle limit its wide application in the optimization design process, so that the optimization design can often only be carried out within a limited range.

[0003] With the rapid development of computer technology, especially the improvement of high-performance computing, parallel computing and big data processing capabilities, as well as the in-depth application of mathematical theory in the field of ship design, the optimization design of ship line has ushered in a revolutionary change. Modern optimization design methods usually use numerical geometric reconstruction technology, which can flexibly simulate various changes in the ship model, including minor adjustments to the hull surface, optimization of the bow and stern shape, etc. These changes are then accurately solved by CFD technology for hydrodynamic performance, including key performance indicators such as resistance, propulsion efficiency, and maneuverability, so as to achieve quantitative evaluation of the design scheme.

[0004] However, the complexity of the comprehensive evaluation of ship lines has not been completely resolved. On the one hand, the evaluation of ship performance involves multiple dimensions, including but not limited to navigation performance, structural strength, stability, economy, environmental protection, etc. Each dimension contains many specific parameters. These parameters often have different physical meanings and dimensions, which are difficult to directly compare and normalize. On the other hand, there may be mutual coupling and mutual influence between different parameters, which further increases the difficulty of evaluation. Summary of the invention

[0005] In order to address the deficiencies in the prior art, the present application provides a method, device and medium for evaluating and optimizing the ship's line shape based on hydrodynamic performance. The method, device and medium provided in the present application can utilize elements such as constructed indicator weight vectors and fuzzy evaluation matrices, combined with actual operating data collected by the ship under specific operating conditions, to construct an evaluation method that comprehensively and accurately reflects the ship's line shape performance.

[0006] According to a first aspect of the present application, a method for evaluating and optimizing ship lines based on hydrodynamic performance is provided, the method comprising the steps of: S1. Determine the evaluation index of the ship's hydrodynamic performance based on its actual application and operating characteristics.

[0007] Specifically, the method for determining the evaluation indicators is as follows: First, select appropriate first-level evaluation indicators based on the characteristics of ship operations.

[0008] Then, several representative sub-subjects are selected from the first-level indicators as second-level evaluation indicators.

[0009] Next, the standard values ​​of the selected first-level evaluation indicators and second-level evaluation indicators are determined based on the reference standards.

[0010] Finally, a first-level evaluation indicator set and a second-level evaluation indicator set are established according to the selected first-level evaluation indicators and second-level evaluation indicators.

[0011] This step determines the criterion value of the selected indicator, which can provide a reference for the subsequent calculation of the response value and a reference for the conversion function in the evaluation process, thereby increasing the reliability of the comprehensive fuzzy evaluation results.

[0012] S2, based on the determined hydrodynamic performance evaluation index, a simulation model of the ship line type is established in the simulation software.

[0013] S3, performing deformation simulation on the ship line type simulation model to obtain a line type data set of the ship after different deformation simulations.

[0014] The specific steps include: S301, establishing a deformation frame in an evaluation area of ​​the ship line simulation model.

[0015] S302, selecting a deformation control point in the deformation frame, and setting upper and lower limits of the deformation control point.

[0016] S303, establishing a position change relationship between the local coordinate system where the deformation control point is located and the overall coordinate system of the ship linear simulation model.

[0017] Specifically, the calculation formula for the position change relationship between the local coordinate system and the global coordinate system is:

[0018] Where X(s,t,u) is the local coordinate system, s, t, u are the coordinates of the X-axis, Y-axis, and Z-axis in the local coordinate system, respectively. The global coordinate system , i, j, kare the coordinates of the X-axis, Y-axis, and Z-axis in the global coordinate system, They are l, m, n The Bernstein polynomial basis functions of degree, l、m and n are the degrees of the Bernstein polynomial basis functions in the X-axis, Y-axis, and Z-axis directions, respectively.

[0019] S304, by modifying the parameters of the deformation control points, a linear data set of the ship after different deformation simulations is obtained.

[0020] S4: performing a primary optimization on the ship line shape data set to obtain a primary optimization solution set of the ship line shape data set.

[0021] The specific steps include: S401, establishing a response surface model of the ship according to the line type data set of the ship; S402, performing optimization analysis on the response surface model of the ship according to a hill climbing algorithm to obtain a primary optimization solution set of the ship's linear data set.

[0022] This application proposes to optimize and analyze the response surface model of the ship based on the hill climbing algorithm, thereby realizing efficient search for the optimal solution in the data space. This method obtains the initial optimization solution set of the ship's line data set by iterative search until the target value of the ship's line evaluation index is reached, providing a basis for further comprehensive fuzzy evaluation.

[0023] S5, adopts the comprehensive fuzzy evaluation method to evaluate the initial optimization solution set of the ship line data set, and obtains the optimal ship line in the initial optimization solution set.

[0024] The specific steps include: S501, selecting evaluation indicators from the primary evaluation indicator set and the secondary evaluation indicator set, and modifying the evaluation indicators.

[0025] Specifically, the semi-ridge function is used to correct the evaluation index, and the calculation formula is:

[0026] Where: N is the revised evaluation index, u max is the maximum value of the evaluation index; u min is the minimum value of the evaluation index; u is the value of the evaluation index, k is the coefficient and k∈[0,1].

[0027] This application proposes to use the semi-ridge function to correct the ship line shape evaluation index to eliminate the nonlinear influence of some evaluation indicators within certain design parameter ranges, thereby ensuring the accuracy and stability of the evaluation method and improving the effectiveness of evaluating and optimizing the ship line shape.

[0028] S502, weights are assigned to the revised evaluation indicators, and an indicator weight vector is constructed based on the assigned indicator weights.

[0029] S503, constructing a fuzzy evaluation matrix based on the initial optimization solution set and the revised evaluation index.

[0030] Specifically, a fuzzy evaluation set is defined first, and the fuzzy membership function is set by the fuzzy evaluation set; then, the fuzzy membership of each ship line type in the initial optimization solution set belonging to each evaluation level is calculated according to the revised evaluation index and the fuzzy membership function, and finally the fuzzy evaluation matrix is ​​constructed by the calculated fuzzy membership of all ship line types.

[0031] S504, using the index weight vector and the fuzzy evaluation matrix, calculating the comprehensive fuzzy membership degree of each ship line type to each fuzzy evaluation set.

[0032] Specifically, the comprehensive fuzzy membership of each ship line type to each fuzzy evaluation set is calculated by matrix multiplication.

[0033] Specifically, the calculation formula for matrix multiplication is:

[0034] Where B is the indicator weight vector and V is the fuzzy evaluation matrix.

[0035] S505, selecting the optimal ship line type of the ship according to the calculated comprehensive fuzzy membership degree.

[0036] This application proposes an innovative method for comprehensive evaluation and optimization of ship lines based on hydrodynamic performance. Compared with the existing technology, the method proposed in this application uses the constructed index weight vector and fuzzy evaluation matrix and other elements, combined with the actual operation data collected by the ship under specific operating conditions, to construct an evaluation method that comprehensively and accurately reflects the performance of ship lines. Whether it is for the research and development and design of new ship lines or the performance optimization of existing ship lines, this method can provide strong support and help promote the technological progress and sustainable development of the shipbuilding industry.

[0037] According to the second aspect of the present application, the present application also provides a computer device, which includes a processor and a memory, wherein the memory stores a computer program, and the computer program is loaded and executed by the processor to implement a method for solving any of the above-mentioned distributed collaborative scheduling schemes for heat storage systems.

[0038] According to the third aspect of the present application, the present application also provides a computer-readable storage medium, in which a computer program is stored, and the computer program is loaded and executed by a processor to implement a method for solving any of the above-mentioned distributed collaborative scheduling schemes for heat storage systems.

[0039] The beneficial effects of this application are: This application proposes an innovative method for comprehensive evaluation and optimization of ship lines based on hydrodynamic performance. Compared with the existing technology, the method proposed in this application uses the constructed index weight vector and fuzzy evaluation matrix and other elements, combined with the actual operation data collected by the ship under specific operating conditions, to construct an evaluation method that comprehensively and accurately reflects the performance of ship lines. Whether it is for the research and development and design of new ship lines or the performance optimization of existing ship lines, this method can provide strong support and help promote the technological progress and sustainable development of the shipbuilding industry.

[0040] This application proposes to use the semi-ridge function to correct the ship line shape evaluation index to eliminate the nonlinear influence of some evaluation indicators within certain design parameter ranges, thereby ensuring the accuracy and stability of the evaluation method and improving the effectiveness of evaluating and optimizing the ship line shape.

[0041] This application proposes to optimize and analyze the response surface model of the ship based on the hill climbing algorithm, thereby realizing efficient search for the optimal solution in the data space. This method obtains the initial optimization solution set of the ship's line data set by iterative search until the target value of the ship's line evaluation index is reached, providing a basis for further comprehensive fuzzy evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a flowchart of this application; Figure 2 It is a schematic diagram of determining the hydrodynamic performance evaluation index according to the actual operation characteristics of the ship in the embodiment of the present application; Figure 3 It is a schematic diagram of establishing a deformation framework in the evaluation area of ​​the ship line simulation model in an embodiment of the present application. DETAILED DESCRIPTION

[0043] In order to make the purpose and features of the present application more obvious and easy to understand, the present technical solution is described in detail below through embodiments and in conjunction with the accompanying drawings.

[0044] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0045] Embodiment 1: like Figure 1 As shown, the embodiment of the present application provides a method for evaluating and optimizing the ship line based on hydrodynamic performance, and the specific implementation process is as follows: S1. Determine the evaluation index of the ship's hydrodynamic performance based on its actual application and operating characteristics.

[0046] Optionally, evaluation indicators should have three characteristics: indicative, measurable and specific.

[0047] Specifically, the method for determining the evaluation indicators is as follows: First, select appropriate first-level evaluation indicators based on the characteristics of ship operations.

[0048] Then, several representative sub-subjects are selected from the first-level indicators as second-level evaluation indicators.

[0049] Next, the standard values ​​of the selected first-level evaluation indicators and second-level evaluation indicators are determined based on the reference standards.

[0050] Finally, a first-level evaluation indicator set and a second-level evaluation indicator set are established according to the selected first-level evaluation indicators and second-level evaluation indicators.

[0051] In this embodiment, the evaluation index of the power performance established is as follows: Figure 2 shown.

[0052] Preferably, the reference standard may be specification data provided by domestic or foreign ship authorities.

[0053] In the specific implementation process, the evaluation indicators of the ship's hydrodynamic performance can be determined based on the analysis of the ship's actual operating sea conditions and operating characteristics.

[0054] This step determines the criterion value of the selected indicator, which can provide a reference for the subsequent calculation of the response value and a reference for the conversion function in the evaluation process, thereby increasing the reliability of the comprehensive fuzzy evaluation results.

[0055] S2, based on the determined hydrodynamic performance evaluation index, a simulation model of the ship line type is established in the simulation software.

[0056] The purpose of this step is to obtain the line data set of the ship after different deformation simulations.

[0057] S3, performing deformation simulation on the ship line type simulation model to obtain a line type data set of the ship after different deformation simulations.

[0058] The specific steps include: like Figure 3 As shown, S301, a deformation frame is established in an evaluation area of ​​the ship line simulation model.

[0059] Optionally, the assessment area may be the bow, stern or the entire ship area.

[0060] During the specific implementation, when a deformation frame is established in the evaluation area of ​​the ship line simulation model, the deformation frame needs to completely cover the evaluation area.

[0061] S302, selecting a deformation control point in the deformation frame, and setting upper and lower limits of the deformation control point.

[0062] S303, establishing a position change relationship between the local coordinate system where the deformation control point is located and the overall coordinate system of the ship linear simulation model.

[0063] Specifically, the calculation formula for the position change relationship between the local coordinate system and the global coordinate system is:

[0064] Where X(s,t,u) is the local coordinate system, s, t, u are the coordinates of the X-axis, Y-axis, and Z-axis in the local coordinate system, respectively. The global coordinate system , i, j, k are the coordinates of the X-axis, Y-axis, and Z-axis in the global coordinate system, They are l, m, n The Bernstein polynomial basis functions of degree, l、m and n are the degrees of the Bernstein polynomial basis functions in the X-axis, Y-axis, and Z-axis directions, respectively.

[0065] S304, by modifying the parameters of the deformation control points, a linear data set of the ship after different deformation simulations is obtained.

[0066] S4: performing a primary optimization on the ship line shape data set to obtain a primary optimization solution set of the ship line shape data set.

[0067] The specific steps include: S401, establishing a response surface model of the ship according to the line type data set of the ship; Preferably, a statistical method can be used to construct the response surface model of the ship, such as multiple linear regression, polynomial regression, support vector machine, etc.

[0068] S402, performing optimization analysis on the response surface model of the ship according to a hill climbing algorithm to obtain a primary optimization solution set of the ship's linear data set.

[0069] During the specific implementation process, when optimizing the response surface model of the ship according to the hill climbing algorithm, multiple local minimum points and their corresponding performance target values ​​will be recorded. By analyzing these local minimum points, all the minimum range data of the response surface model of the ship in the local area can be obtained, that is, the initial optimization solution set of the ship's linear data set.

[0070] S5, adopts the comprehensive fuzzy evaluation method to evaluate the initial optimization solution set of the ship line data set, and obtains the optimal ship line in the initial optimization solution set.

[0071] The specific steps include: S501, selecting evaluation indicators from the primary evaluation indicator set and the secondary evaluation indicator set, and modifying the evaluation indicators.

[0072] Specifically, the semi-ridge function is used to correct the evaluation index, and the calculation formula is:

[0073] Where: N is the revised evaluation index, u max is the maximum value of the evaluation index; u min is the minimum value of the evaluation index; u is the value of the evaluation index, k is the coefficient and k∈[0,1].

[0074] In the specific implementation process, when k=0, the revised evaluation index is directly proportional to the original evaluation index; when k=1, the revised evaluation index is inversely proportional to the original evaluation index.

[0075] S502, weights are assigned to the revised evaluation indicators, and an indicator weight vector is constructed based on the assigned indicator weights.

[0076] When allocating weights to the revised evaluation indicators, the subjective weights, objective weights, and a combined weighting method that takes the two into consideration can be used.

[0077] Preferably, the analytic hierarchy process is used subjectively, and the entropy value weighting method is used objectively.

[0078] The specific calculation method of the specific combination weight is as follows:

[0079] In the formula, is the indicator weight, β is the preference coefficient, and the value of the preference coefficient can be determined according to the actual needs in engineering applications. β= When 0, the combined weight is completely determined by the weight value of the entropy weighting method; when β =1, the combined weight is completely determined by the weight value of the hierarchical analysis method.

[0080] S503, constructing a fuzzy evaluation matrix based on the initial optimization solution set and the revised evaluation index.

[0081] Specifically, a fuzzy evaluation set is defined first, and the fuzzy membership function is set by the fuzzy evaluation set; then, the fuzzy membership of each ship line type in the initial optimization solution set belonging to each evaluation level is calculated according to the revised evaluation index and the fuzzy membership function, and finally the fuzzy evaluation matrix is ​​constructed by the calculated fuzzy membership of all ship line types.

[0082] S504, using the index weight vector and the fuzzy evaluation matrix, calculating the comprehensive fuzzy membership degree of each ship line type to each fuzzy evaluation set.

[0083] Specifically, the comprehensive fuzzy membership of each ship line type to each fuzzy evaluation set is calculated by matrix multiplication.

[0084] Specifically, the calculation formula for matrix multiplication is:

[0085] Where B is the indicator weight vector and V is the fuzzy evaluation matrix.

[0086] S505, selecting the optimal ship line type of the ship according to the calculated comprehensive fuzzy membership degree.

[0087] Example 2 The embodiment of the present application also provides a computer device, which can implement the steps in any of the embodiments of the method for evaluating and optimizing the ship line based on hydrodynamic performance provided in the embodiment of the present application. Therefore, the embodiment of the present application can achieve the beneficial effects of the method for evaluating and optimizing the ship line based on hydrodynamic performance provided in the embodiment of the present application, which is detailed in the previous embodiment and will not be repeated here.

[0088] Example 3 Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions, or by controlling related hardware through instructions, and the instructions can be stored in a computer-readable storage medium and loaded and executed by a processor. To this end, the present application embodiment also provides a storage medium, which stores computer instructions, and the computer instructions can be loaded by the processor to execute the steps of any embodiment of the method for evaluating and optimizing the ship line based on hydrodynamic performance provided in the present application embodiment.

[0089] The storage medium may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc. Since the instructions stored in the storage medium can execute the steps in the solution method embodiment of any distributed collaborative scheduling scheme for heat storage system provided in the embodiment of the present application, the embodiment of the present application can achieve any beneficial effect that can be achieved by the method based on hydrodynamic performance evaluation and ship line type optimization provided in the embodiment of the present application. For details, please refer to the previous embodiment, which will not be repeated here.

[0090] It should be noted that the serial numbers of the embodiments of the present application are only for description and do not represent the advantages and disadvantages of the embodiments. And the terms "including", "comprising" or any other variants thereof herein are intended to cover non-exclusive inclusion, so that the process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the presence of other identical elements in the process, device, article or method including the element.

[0091] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0092] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for evaluating and optimizing ship line shape based on hydrodynamic performance, characterized in that: Includes steps: S1, determine the evaluation index of the ship's hydrodynamic performance according to the actual application and operation characteristics of the ship; S2, establishing a simulation model of the ship line type in the simulation software according to the determined hydrodynamic performance evaluation index; S3, performing deformation simulation on the ship line type simulation model to obtain a line type data set of the ship after different deformation simulations; S4: performing a primary optimization on the ship line shape data set to obtain a primary optimization solution set of the ship line shape data set; S5, adopts the comprehensive fuzzy evaluation method to evaluate the initial optimization solution set of the ship line data set, and obtains the optimal ship line in the initial optimization solution set.

2. The method for evaluating and optimizing ship line shape based on hydrodynamic performance according to claim 1, characterized in that: Said Determining the evaluation index of ship hydrodynamic performance includes the following steps: A1, select appropriate first-level evaluation indicators according to the characteristics of ship operations; A2, select several representative sub-subjects from the first-level indicators as second-level evaluation indicators; A3, then determine the standard values ​​of the selected first-level evaluation indicators and second-level evaluation indicators according to the reference standards; A4, establishing a first-level evaluation indicator set and a second-level evaluation indicator set according to the selected first-level evaluation indicators and second-level evaluation indicators.

3. The method for evaluating and optimizing ship line shape based on hydrodynamic performance according to claim 1, characterized in that: S3 includes the following steps: S301, establishing a deformation frame in an evaluation area of ​​the ship line simulation model; S302, selecting a deformation control point in the deformation frame, and setting upper and lower limits of the deformation control point; S303, establishing a position change relationship between the local coordinate system where the deformation control point is located and the overall coordinate system of the ship linear simulation model; Specifically, the calculation formula for the position change relationship between the local coordinate system and the global coordinate system is: Where X(s,t,u) is the local coordinate system, s, t, u are the coordinates of the X-axis, Y-axis, and Z-axis in the local coordinate system, respectively. The global coordinate system , i, j, k are the coordinates of the X-axis, Y-axis, and Z-axis in the global coordinate system, They are l, m, n The Bernstein polynomial basis functions of degree, l、m and n are the degrees of the Bernstein polynomial basis functions in the X-axis, Y-axis, and Z-axis directions respectively; S304, by modifying the parameters of the deformation control points, a linear data set of the ship after different deformation simulations is obtained.

4. The method for evaluating and optimizing ship line shape based on hydrodynamic performance according to claim 1, characterized in that: S4 includes the steps: S401, establishing a response surface model of the ship according to the line type data set of the ship; S402, performing optimization analysis on the response surface model of the ship according to a hill climbing algorithm to obtain a primary optimization solution set of the ship's linear data set.

5. The method for evaluating and optimizing ship line shape based on hydrodynamic performance according to claim 1, characterized in that: S5 includes the steps of: S501, selecting an evaluation indicator from the first-level evaluation indicator set and the second-level evaluation indicator set, and modifying the evaluation indicator; S502, weighting the revised evaluation indicators, and constructing an indicator weight vector based on the assigned indicator weights; S503, constructing a fuzzy evaluation matrix based on the initial optimization solution set and the revised evaluation index; S504, using the index weight vector and the fuzzy evaluation matrix, calculating the comprehensive fuzzy membership degree of each ship line type to each fuzzy evaluation set; S505, selecting the optimal ship line type of the ship according to the calculated comprehensive fuzzy membership degree.

6. The method for evaluating and optimizing ship line shape based on hydrodynamic performance according to claim 5, characterized in that: The evaluation index is corrected, specifically, by using a semi-ridge function to correct the evaluation index, and the calculation formula is: Where: N is the revised evaluation index, u max is the maximum value of the evaluation index; u min is the minimum value of the evaluation index; u is the value of the evaluation index, k is the coefficient and k∈[0,1].

7. The method for evaluating and optimizing ship line shape based on hydrodynamic performance according to claim 5, characterized in that: The calculation of the comprehensive fuzzy membership of each ship line type to each fuzzy evaluation set is specifically to calculate the comprehensive fuzzy membership of each ship line type to each fuzzy evaluation set by matrix multiplication. Specifically, the calculation formula of matrix multiplication is: Where B is the indicator weight vector and V is the fuzzy evaluation matrix.

8. A computer device, characterized in that: The computer device includes a processor and a memory, wherein a computer program is stored in the memory, and the computer program is loaded and executed by the processor to implement the method for evaluating and optimizing the ship line based on hydrodynamic performance as described in any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, which is loaded and executed by a processor to implement the method for evaluating and optimizing ship lines based on hydrodynamic performance as described in any one of claims 1 to 8.

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