Complex equipment electrical system design scheme screening method and device

Abstract

The invention provides a complex equipment electrical system design scheme screening method and device, and belongs to the field of electrical system design, and the method comprises the steps: building a grey target house model based on a multi-target grey target decision model and a quality function expansion method; the grey target house model comprises a basement right room for placing an effect sample matrix corresponding to each target; obtaining an effect value in the effect sample matrix under each target; converting the effect value into a consistent effect measure and obtaining a consistent effect measure matrix under each target; obtaining a comprehensive effect measurement matrix according to the consistent effect measurement matrix under all targets; and determining an optimal electrical system design scheme according to the comprehensive effect measurement matrix. According to the scheme selection method, multi-aspect indexes are met during scheme selection, all feasible schemes are sorted according to the comprehensive effect measurement value, so that the optimal scheme is selected, the problem that index scores lack objectivity and scientificity due to expert language judgment is solved, and errors caused by subjective judgment are reduced.

Description

Technical Field

[0001] The invention relates to a method and a device for screening design schemes of an electrical system of complex equipment, belonging to the field of electrical system design. Background Art

[0002] The electrical system design of complex equipment is a complex system engineering, and its components also have many evaluation criteria. However, it is impossible to select the absolutely optimal solution under each evaluation index.

[0003] Existing multi-objective optimization algorithms often find it difficult to fully consider all objectives when dealing with the design of complex equipment electrical systems. These algorithms usually focus on the optimization of one or several objectives, while ignoring the importance of other objectives. This leads to the inability to find an optimal solution that performs well on all objectives when selecting a solution. At the same time, multi-objective evaluation often involves multiple evaluation criteria, such as performance, cost, reliability, safety, etc. These evaluation criteria may vary depending on different application scenarios and requirements, and are somewhat subjective. This makes it difficult to determine a unified and objective evaluation standard to comprehensively evaluate the pros and cons of each solution when selecting a solution. Summary of the invention

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art and provide a method and device for screening design schemes for electrical systems of complex equipment, thereby solving the problem that existing multi-objective optimization algorithms are difficult to fully consider all objectives when dealing with the design of electrical systems of complex equipment.

[0005] To achieve the above object, the present invention is implemented by adopting the following technical solutions:

[0006] In the first aspect, the present invention provides a method for screening design schemes for electrical systems of complex equipment, comprising: constructing a gray target house model of the electrical system of complex equipment based on a multi-objective gray target decision model and a quality function deployment method; the gray target house model comprises: a right room in the basement for placing an effect sample matrix; wherein each preset target corresponds to an effect sample matrix, and the effect sample matrix is ​​composed of effect values ​​of each design scheme in the electrical system design scheme set under the corresponding target; obtaining the effect value in the effect sample matrix under each target; converting the effect value into a consistent effect measure, and then obtaining a consistent effect measure matrix under each target; obtaining a comprehensive effect measure matrix according to the consistent effect measure matrix under all targets; and determining the optimal electrical system design scheme according to the comprehensive effect measure matrix.

[0007] Furthermore, the electrical system design solution set is constructed by the Cartesian product of the preset event set and the preset countermeasure set, and the expression is:

[0008]

[0009] in, is the event set, For the strategy set, For events and decision making The resulting design plan;

[0010] Each preset target Have the corresponding target decision-making power , the target and corresponding target decision-making power Obtained through expert analysis; among them, ;

[0011] The stated goal The effect sample matrix is:

[0012]

[0013] in, For the goal The effect sample matrix under For design solutions On Target The effect value below.

[0014] Furthermore, the obtaining of the effect value in the effect sample matrix includes: dividing the preset targets into two categories: subjective targets and objective targets,

[0015] In response to the fact that the target is a subjective target, the expert analysis method is used to obtain the effect value of each design scheme under the target;

[0016] In response to the target being an objective target, a statistical method or a prediction method is used to obtain the effect value of each design scheme under the target.

[0017] Furthermore, the effect value is converted into a consistent effect measure, and then a consistent effect measure matrix under each target is obtained, including:

[0018] The preset goals are divided into three types: benefit goals, cost goals and moderate goals;

[0019] Obtaining the effect critical value of each type of target according to a preset method, and converting the effect value into a consistent effect measure according to the effect critical value;

[0020] The consistent effect measures constitute a consistent effect measure matrix under each objective.

[0021] Furthermore, obtaining the effect critical value of each type of target according to a preset method, and converting the effect value into a consistent effect measure according to the effect critical value, includes:

[0022] Responding to the target For benefit-oriented goals, set the critical value of the effect to , then the target The decision gray target is: , and the target The calculation formula for the consistent effect measurement of the following design schemes is:

[0023]

[0024] in, is the maximum effect value under this goal;

[0025] In response to the target being a cost-type target, the effect threshold is set to , then the target The decision gray target is: , and the target The calculation formula for the consistent effect measurement of the following design schemes is:

[0026]

[0027] in, is the critical value of the effect of the cost-based target, is the minimum effect value under this goal;

[0028] In response to the target being a medium target, set its effect threshold to , then the target The decision gray target is: , and the target The calculation formula for the consistent effect measurement of the following design schemes is:

[0029] in, It is the approximate value of the effect value under this goal.

[0030] Furthermore, the grey target house model also includes: a right wall for placing a demand fit evaluation matrix and a basement for placing a technical competitiveness evaluation matrix; the benefit-type goals include: a design demand fit index and a market capability competition index; the effect critical value corresponding to the design demand fit index is obtained from the demand fit evaluation matrix of the grey target house model; the effect critical value corresponding to the market capability competition index is obtained from the technical competitiveness evaluation matrix of the grey target house model.

[0031] Furthermore, the method is used to design an optimized electrical system solution based on the original electrical system solution;

[0032] The efficiency-oriented objectives also include: continuous power-on capability, cumulative working life and reliability index; the corresponding target effect critical values ​​are obtained from the operating parameters of the original electrical system solution.

[0033] Furthermore, the comprehensive effect measurement matrix is ​​obtained according to the consistent effect measurement matrix under all objectives, including:

[0034] Calculate the comprehensive effect measure of each design scheme under all objectives, the expression is:

[0035]

[0036] in, For design A measure of the overall effect on all objectives;

[0037] The comprehensive effect measurement matrix is:

[0038]

[0039] in, It is the comprehensive effect measurement matrix.

[0040] Furthermore, determining the optimal design solution according to the comprehensive effect measurement matrix includes: selecting the largest comprehensive effect measure from the comprehensive effect measurement matrix, and determining the design solution corresponding to the maximum comprehensive effect measure as the optimal design solution.

[0041] In a second aspect, the present invention provides a device for screening design solutions for electrical systems of complex equipment, comprising:

[0042] Gray target house model construction module: used to construct a gray target house model of a complex equipment electrical system based on a multi-objective gray target decision model and quality function deployment method; the gray target house model includes: a basement right room for placing an effect sample matrix; the effect sample matrix is ​​composed of the effect values ​​of each design scheme in the electrical system design scheme set under the corresponding target;

[0043] Effect value acquisition module: used to obtain the effect value in the effect sample matrix under each target;

[0044] Conversion module: used to convert the effect value into a consistent effect measure, and then obtain a consistent effect measure matrix under each target;

[0045] Comprehensive module: used to obtain a comprehensive effect measurement matrix based on the consistent effect measurement matrix under all objectives;

[0046] Decision-making module: used to determine the optimal electrical system design solution according to the comprehensive effect measurement matrix.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] (1) The complex equipment electrical system design scheme screening method provided by the present invention combines the gray target decision-making for dealing with multi-objective and multi-scheme evaluation and decision-making problems with the house of quality that can closely combine customer needs with the implementation measures of quality characteristics; the gray target decision-making model is combined with the quality function deployment method to comprehensively evaluate the multi-objective complex equipment system design schemes, thereby achieving the satisfaction of multiple indicators of the complex equipment electrical system when selecting the scheme.

[0049] (2) The present invention ranks all feasible solutions by calculating the comprehensive effect measurement value and selects the optimal design solution for the electrical system of complex equipment. This solves the problem that the index scores lack objectivity and scientificity due to unfavorable factors such as ambiguity in expert language judgment, and reduces the errors caused by subjective judgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a flow chart of the method for screening design solutions for electrical systems of complex equipment provided in Example 1 of the present invention;

[0051] Figure 2 This is a schematic diagram of a gray target house model of a certain electromechanical product in Example 3 of the present invention. DETAILED DESCRIPTION

[0052] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. 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, not all of the embodiments.

[0053] Grey target decision making is one of the important applications of grey target theory. It is an effective method for dealing with multi-objective and multi-scheme evaluation and decision-making problems. In grey target decision making, the decision maker will first find the data closest to the target value in a set of pattern sequences to construct a standard pattern, and then each pattern together with the standard pattern constitutes a grey target. The standard pattern is the bull's eye of the grey target, and the grey correlation between each pattern and the bull's eye is called the bull's eye proximity or bull's eye degree. In this way, the decision maker can clearly see the degree of closeness of each alternative plan to the target value, so as to make a more informed decision. Grey target theory provides a new idea and method for dealing with problems that are difficult to quantify and predict. By applying grey target theory, we can better conduct qualitative analysis, avoid problems such as missing data and incomplete information, and make more accurate and reliable decisions.

[0054] The quality house is an important part of design quality management. Whether in total quality management or 6 Sigma management, it is an effective tool to closely combine customer needs with measures to achieve quality characteristics. The quality house quantitatively analyzes the relationship between customer needs and engineering measures. After data analysis and processing, it finds the engineering measures that contribute the most to meeting customer needs, thereby guiding designers to grasp the main contradictions, carry out stability optimization design, and develop products that satisfy customers.

[0055] Example 1

[0056] The present invention provides a method for screening design solutions for electrical systems of complex equipment, such as Figure 1 As shown, the method comprises the following steps:

[0057] Step 1: Construct a gray target house model of the electrical system of complex equipment based on the multi-objective gray target decision model and quality function deployment method.

[0058] Specifically, based on the grey target decision theory and its subsequent research results, a multi-objective grey target decision model is used to optimize the scheme, which is combined with the quality function deployment (QFD) platform to construct a grey target house model.

[0059] The gray target house model consists of eight modules: design requirements and their importance, engineering and technical characteristics, relationship matrix, demand fit evaluation matrix, autocorrelation matrix, engineering and technical characteristics importance and ranking, technical competitiveness evaluation matrix and effect sample matrix.

[0060] The left wall is used to place design requirements and their importance. In the initial stage of R&D and design, we focus on listening to customer needs and select and determine product design solutions based on them. Customer needs are often obtained through market surveys and questionnaires, and hierarchical analysis is performed to accurately express customer ideas and opinions. There is a priority relationship within customer needs, which is expressed as importance and plays a vital role in the QFD analysis process.

[0061] Ceilings are used to place engineering measures. Engineering measures describe how to meet customer needs in the design and develop design specifications that meet customer needs. Each customer need can have multiple engineering measure requirements, and each engineering measure requirement can meet multiple customer needs.

[0062] The room is used to place the relationship matrix. The relationship matrix describes the relationship between customer needs and engineering and technical characteristics and is the "body" of the quality house. Symbols or numbers are used in the relationship matrix to indicate the degree of correlation between engineering and technical characteristics and customer needs.

[0063] The right wall is used to place the demand fit evaluation matrix. The demand fit evaluation matrix describes the degree of fit of each product to the design requirements from the perspective of design requirements, and defines how different solutions deal with each design requirement. The matrix is ​​obtained by expert scoring. In traditional QFD, the 1-5 scale method is commonly used to describe the degree of fit of each design requirement, 1 means that the degree of realization of the design requirement is the weakest, and 5 means that the design requirement is fully realized.

[0064] The roof is used to place the autocorrelation matrix. The autocorrelation matrix represents the relationship between various engineering and technical characteristics. It helps designers achieve multiple goals with a small amount of resources by evaluating the mutual "cooperation" or "conflict" relationship between engineering and technical characteristics.

[0065] The floor is used to place the indicators and importance of engineering measures. The indicators and importance of engineering measures are the output information of the quality house, which describes the importance of each engineering technical measure in product design.

[0066] The basement is used to place the technical competitiveness assessment matrix. The technical competitiveness assessment mainly includes comparing the identified engineering measures with competitors to identify relevant advantages and disadvantages, and further setting corresponding improvement targets. The 1-5 scale method used in the evaluation of demand capabilities in the traditional quality house is used to describe the degree of realization of each engineering measure. 1 means that the degree of realization of the engineering measure is the weakest, and 5 means that the engineering measure is fully realized.

[0067] On the basis of the traditional quality house, the right room of the basement is added. The right room of the basement is used to place the effect sample matrix. Each target corresponds to an effect sample matrix. The effect sample matrix is ​​composed of the effect values ​​of different design schemes under the corresponding target.

[0068] Step 2: Obtain the effect value in the effect sample matrix under each target.

[0069] In some specific embodiments, different types of goals have different ways of obtaining effect values. If the goal is a subjective goal, such as the degree of demand fit in quality function deployment, the expert analysis method is used to obtain the corresponding effect value; if the goal is an objective goal, such as cost, reliability, etc., the statistical method or prediction method is used to obtain the corresponding effect value.

[0070] Step 3: Convert the effect value into a consistent effect measure to obtain a consistent effect measure matrix under each objective.

[0071] In some specific embodiments, the conversion of the effect value into a consistent effect measure is achieved by setting an effect critical value. However, the method of setting the effect critical value is different for different goals.

[0072] Specifically, there are three types of goals: benefit goals, cost goals and moderate goals; for benefit goals, the larger the effect value, the better; for cost goals, the smaller the effect value, the better; for moderate goals, the closer the effect value is to a specific approach value, the better.

[0073] Therefore, we must first set the effect critical value of each type of target according to a predetermined method, and then convert the target effect value into a consistent effect measure based on the effect critical value; and then use the consistent effect measure to form a consistent effect measure matrix under each target.

[0074] Step 4: Obtain the comprehensive effect measurement matrix based on the consistent effect measurement matrix under all objectives.

[0075] Specifically, the comprehensive effect measure of each design scheme under all objectives is first calculated according to the target decision-making power of each target, and then the comprehensive effect measure of each design scheme constitutes a comprehensive effect measure matrix.

[0076] Step 5: Determine the optimal design solution based on the comprehensive effect measurement matrix.

[0077] In some specific embodiments, the largest comprehensive effect measure is selected from the comprehensive effect measure matrix, and the design solution corresponding to the maximum comprehensive effect measure is determined as the optimal design solution.

[0078] Example 2

[0079] Based on Example 1, this example provides a process for converting the effect values ​​of benefit-type targets, cost-type targets and moderate targets into consistent effect measures according to their respective effect critical values, and then obtaining a consistent effect measure matrix.

[0080] It should be noted that the design scheme in Example 1 is derived from the electrical system design scheme set, which is constructed by the Cartesian product of the preset event set and the preset countermeasure set, and the expression is:

[0081]

[0082] in, is the event set, For the strategy set, To make a decision Resolving incidents The resulting design plan;

[0083] Each preset target Have the corresponding target decision-making power , and each target and corresponding target decision-making power Obtained through expert analysis; among them, ;

[0084] Target The effect sample matrix is:

[0085]

[0086] in, For the goal The effect sample matrix under For design On Target The effect value below.

[0087] For benefit-oriented goals, set the effect threshold to , the interval Set as the decision gray target under this goal, then the consistent effect measurement calculation formula of each design scheme under this goal is:

[0088]

[0089] in, is the maximum effect value under this goal.

[0090] In some specific embodiments, the benefit-based goals include: a design demand fit index and a market capability competition index; wherein, the effect critical value corresponding to the design demand fit index is obtained according to the demand fit evaluation matrix placed in the right wall of the gray target house model; the effect critical value corresponding to the market capability competition index is obtained according to the technical competitiveness evaluation matrix placed in the basement of the gray target house model.

[0091] In some embodiments of electrical system solutions designed and optimized based on the original electrical system solutions, the benefit-oriented objectives also include: continuous power-on capability, cumulative working life and reliability index; and the effect critical values ​​corresponding to these three objectives are obtained from the operating parameters of the original electrical system solution.

[0092] For cost-based targets, set the effect threshold to , the interval Set as the decision gray target under this goal, then the consistent effect measurement calculation formula of each design scheme under this goal is:

[0093]

[0094] in, is the minimum effect value under this goal.

[0095] For medium-sized targets, set the target effect threshold to , the interval Set as the decision gray target under this goal, then the consistent effect measurement calculation formula of each design scheme under this goal is:

[0096]

[0097] in, It is the approximate value of the effect value under this goal.

[0098] After converting the effect values ​​in all effect sample matrices into consistent effect measures and forming consistent effect measure matrices under various objectives, the comprehensive effect measures of each design scheme under all objectives are calculated. The expression is:

[0099]

[0100] Therefore, the comprehensive effect measurement matrix is:

[0101]

[0102] In the comprehensive effect measure matrix, the comprehensive effect measure , indicating the design solution Off target, that is to say The adoption of , then it means the design solution Hit the target, that is to say The adoption of the system will bring about a positive comprehensive effect. At the same time, the various design schemes are ranked according to the size of the comprehensive effect measurement, and the design scheme with the largest comprehensive effect measurement is selected as the electrical system design scheme with the best quality level.

[0103] Example 3

[0104] This embodiment provides a specific application and performance of the method of the present invention in the screening of design solutions for a certain electromechanical product.

[0105] S1: Construct the gray target house model.

[0106] Figure 2 The gray target house model of a certain electromechanical product is shown. As can be seen from the figure, the gray target house model of this product includes:

[0107] Left wall (yellow): stores all design requirements CR1-CR6 included in the product, as well as the importance of each requirement. The importance describes the importance of the design requirement, with values ​​ranging from 1 to 5, where 5 means the requirement is the most important.

[0108] Roof (colorless): stores the autocorrelation matrix, which is used to represent the relationship between each engineering measure. It indicates that there is a positive correlation between the two technical characteristics; It indicates a strong positive correlation between the two counting characteristics; There is a negative correlation between the two technical characteristics; There is a strong negative correlation between the two technical characteristics.

[0109] Ceiling (light yellow): stores the engineering measures EC1-EC7 proposed in the design plan. It is the specific measures proposed by engineers to meet design requirements.

[0110] Room (dark green): stores the relationship matrix, which represents the degree of satisfaction R of the engineering measures to the design solution. ij , with values ​​ranging from 0 to 9, where 0 means that the engineering measure cannot meet the design requirements, and 9 means that the engineering measure meets the design requirements very well.

[0111] Right wall (light green): stores the demand fit evaluation matrix and demand fit capability index. The evaluation value of the degree of fit of each solution to each design requirement constitutes the demand fit evaluation matrix, and the degree of fit is described using a 1-5 scale, where 1 means that the solution has the weakest implementation of the design, and 5 means that the solution has the strongest implementation of the design. The mean of the evaluation values ​​of the degree of fit of each solution to each design requirement divided by 5 is the demand fit capability index, which can intuitively reflect the fit of each solution to the design requirements.

[0112] Floor (pink): stores engineering measure indicators and the importance of engineering measures. Engineering measure indicators ECT j Indicates the EC of each engineering measure j The target value to be achieved is given by the engineer who proposed the engineering measure. The calculation formula for the importance of the engineering measure is: , used to display key engineering measures.

[0113] Basement (green): Storage technology competitiveness evaluation matrix, each scheme meets each engineering measure, using a 1-5 scale to describe the degree of satisfaction, 1 means that the scheme has the weakest implementation of the measure, and 5 means that the scheme has the strongest implementation of the measure. This matrix can clearly show the differences in the implementation of each engineering measure for each scheme.

[0114] Right room in the basement (blue): stores the effect sample matrix, which describes the effect values ​​of each scheme under different design objectives. Through this matrix, we can further carry out multi-objective weighted intelligent gray target decision analysis and calculate the comprehensive effect matrix.

[0115] Step 2: Program Evaluation

[0116] In the QFD design platform, according to different goals, the expert scoring method or other methods are selected to determine the effect value in the effect sample matrix, and finally the effect sample matrix as shown in Table 1 is formed and filled in. Figure 2 Lower right corner.

[0117] sheet Sample matrix of the effect of a certain electromechanical product solution

[0118] Indicator 1 Indicator 2 Indicator 3 Indicator 4 Indicator 5 Original plan 0.78 60 2400 0.999999 1 Solution 1 0.96 85 3000 0.99997 0.6 Solution 2 0.81 75 2800 0.99995 0.7 Option 3 0.98 90 3200 0.99999 0.8

[0119] Step 3: Set the effect threshold

[0120] The critical value of effect represents the performance evaluation index of the product. The performance evaluation index of a certain electromechanical product is shown in Table 2. Among them, the market capability competition index, continuous power-on capability, cumulative working life, and reliability index are benefit targets, and their critical values ​​represent the lower limit; the cost target is a cost-type indicator, and its critical value represents the upper limit.

[0121] sheet Performance evaluation index of a certain electromechanical product

[0122] Target performance Weight Critical value 1 Demand fit index 0.15 The demand fit index of the original solution 2 Continuous power-on capability 0.15 80h 3 Cumulative working life 0.10 3000h 4 Reliability Index 0.35 0.99994 5 Cost (compared to initial plan) 0.25 70% of the original plan

[0123] Step 4: Consistency Effect Measurement

[0124] The multi-objective weighted grey target decision model is applied to the optimization of the electromechanical product design scheme. The sample matrix of the effects of the four schemes under each objective is as follows:

[0125] The effect sample matrix under the demand fit index target is: The sample matrix of the effect under the continuous power-on capability target is:

[0126]

[0127] The effect sample matrix under the cumulative working life target is:

[0128]

[0129] The effect sample matrix under the reliability index target is:

[0130]

[0131] The effect sample matrix under the cost target is:

[0132]

[0133] According to the critical effect values ​​shown in Table 2, the consistent effect measurement matrix of the four schemes under each goal is calculated as follows:

[0134] The consistent effect measurement matrix under the demand fit index target is: The consistent effect measurement matrix under the continuous power-on capability target is:

[0135]

[0136] The consistent effect measurement matrix under the cumulative working life target is:

[0137]

[0138] The consistent effect measurement matrix under the reliability index target is:

[0139]

[0140] The consistent effect measurement matrix under the cost target is:

[0141]

[0142] Step 5: Calculate the comprehensive effect measurement matrix

[0143] Calculate the comprehensive effect matrix

[0144] It can be seen that the comprehensive effect measurement of each scheme of a certain electromechanical product is shown in Table 3.

[0145] sheet Comprehensive effect measurement of various schemes for a certain electromechanical product

[0146] Original plan Solution 1 Solution 2 Option 3 Comprehensive effect measurement -1 0.6380 -0.0932 0.4466

[0147] Step 6: Determine the best solution

[0148] According to the comprehensive effect matrix, a suitable design scheme is selected from multiple design schemes. Using multi-objective weighted intelligent gray target decision-making, multiple objectives are included as the basis for decision-making. The effect value is converted into a consistent effect measure, and the dimension between objectives is removed. The comprehensive effect measure matrix is ​​calculated by combining the weights between each objective, and finally the optimal scheme considering multiple objectives is selected. As shown in Table 3, the comprehensive effect measure of Scheme 1 is the largest, so Scheme 1 is the optimal design scheme.

[0149] Example 4

[0150] This embodiment provides a complex equipment electrical system design scheme screening device, including:

[0151] Gray target house model construction module: used to construct a gray target house model of a complex equipment electrical system based on a multi-objective gray target decision model and quality function deployment method; the gray target house model includes: a basement right room for placing an effect sample matrix; the effect sample matrix is ​​composed of the effect values ​​of each design scheme in the electrical system design scheme set under the corresponding target;

[0152] Conversion module: used to convert the effect value into a consistent effect measure, and then obtain a consistent effect measure matrix under each target;

[0153] Comprehensive module: used to obtain a comprehensive effect measurement matrix based on the consistent effect measurement matrix under all objectives;

[0154] Decision-making module: used to determine the optimal electrical system design solution according to the comprehensive effect measurement matrix.

[0155] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for screening design solutions for electrical systems of complex equipment, characterized in that: include: Constructing the grey target house model of the electrical system of complex equipment based on the multi-objective grey target decision model and quality function deployment method; The gray target house model includes: a basement right room for placing an effect sample matrix; wherein each preset target corresponds to an effect sample matrix, and the effect sample matrix is ​​composed of the effect values ​​of each design scheme in the electrical system design scheme set under the corresponding target; Obtaining the effect value in the effect sample matrix under each target; Converting the effect value into a consistent effect measure, and then obtaining a consistent effect measure matrix under each target; Obtain a comprehensive effect measurement matrix based on the consistent effect measurement matrix under all objectives; The optimal electrical system design scheme is determined according to the comprehensive effect measurement matrix.

2. The method for selecting design solutions for electrical systems of complex equipment according to claim 1, characterized in that: The electrical system design solution set is constructed by the Cartesian product of the preset event set and the preset countermeasure set, and the expression is: ； in, is the event set, For the strategy set, For events and decision making The resulting design plan; Each preset target Have the corresponding target decision-making power , the target and corresponding target decision-making power Obtained through expert analysis; among them, ; The stated goal The effect sample matrix is: ； in, For the goal The effect sample matrix under For design On Target The effect value below.

3. The method for selecting design solutions for electrical systems of complex equipment according to claim 2, characterized in that: The step of obtaining the effect value in the effect sample matrix includes: dividing the preset targets into two categories: subjective targets and objective targets, In response to the fact that the target is a subjective target, the expert analysis method is used to obtain the effect value of each design scheme under the target; In response to the target being an objective target, a statistical method or a prediction method is used to obtain the effect value of each design scheme under the target.

4. The method for selecting design solutions for electrical systems of complex equipment according to claim 2, characterized in that: The step of converting the effect value into a consistent effect measure, and then obtaining a consistent effect measure matrix under each target, includes: The preset goals are divided into three types: benefit goals, cost goals and moderate goals; Obtaining the effect critical value of each type of target according to a preset method, and converting the effect value into a consistent effect measure according to the effect critical value; The consistent effect measures constitute a consistent effect measure matrix under each objective.

5. The method for selecting design solutions for electrical systems of complex equipment according to claim 4, characterized in that: The step of obtaining the effect critical value of each type of target according to a preset method and converting the effect value into a consistent effect measure according to the effect critical value includes: Responding to the target For benefit-oriented goals, set the critical value of the effect to , then the target The decision gray target is: , and the target The calculation formula for the consistent effect measurement of the following design schemes is: ； in, is the maximum effect value under this goal; In response to the target being a cost-type target, the effect threshold is set to , then the target The decision gray target is: , and the target The calculation formula for the consistent effect measurement of the following design schemes is: ； in, is the critical value of the effect of the cost-based target, is the minimum effect value under this goal; In response to the target being a medium target, set its effect threshold to , then the target The decision gray target is: , and the target The calculation formula for the consistent effect measurement of the following design schemes is: ； in, It is the approximate value of the effect value under this goal.

6. The method for selecting design solutions for electrical systems of complex equipment according to claim 5, characterized in that: The gray target house model also includes: a right wall for placing a demand fit evaluation matrix and a basement for placing a technology competitiveness evaluation matrix; The efficiency-oriented objectives include: design demand fit index and market capability competition index; The effect critical value corresponding to the design demand fit index is obtained from the demand fit evaluation matrix of the grey target house model; The effect critical value corresponding to the market capability competition index is obtained from the technical competitiveness evaluation matrix of the grey target house model.

7. The method for selecting design solutions for electrical systems of complex equipment according to claim 6, characterized in that: The method is used to design an optimized electrical system solution based on the original electrical system solution; The said benefit-oriented objectives also include: continuous power-on capability, cumulative working life and reliability index; The corresponding target effect critical value is obtained from the operating parameters of the original electrical system solution.

8. The method for selecting design solutions for electrical systems of complex equipment according to claim 2, characterized in that: The comprehensive effect measurement matrix is ​​obtained according to the consistent effect measurement matrix under all objectives, including: Calculate the comprehensive effect measure of each design scheme under all objectives, the expression is: ； in, For design A measure of the overall effect on all objectives; The comprehensive effect measurement matrix is: ； in, It is the comprehensive effect measurement matrix.

9. The method for selecting design solutions for electrical systems of complex equipment according to claim 7, characterized in that: Determining the optimal design solution according to the comprehensive effect measurement matrix includes: selecting the largest comprehensive effect measure from the comprehensive effect measurement matrix, and determining the design solution corresponding to the maximum comprehensive effect measure as the optimal design solution.

10. A device for screening design solutions for electrical systems of complex equipment, characterized in that: include: Gray target house model building module: used to build a gray target house model of complex equipment electrical system based on multi-objective gray target decision model and quality function deployment method; The gray target house model includes: a basement right room for placing an effect sample matrix; the effect sample matrix is ​​composed of effect values ​​of each design scheme in the electrical system design scheme set under the corresponding target; Effect value acquisition module: used to obtain the effect value in the effect sample matrix under each target; Conversion module: used to convert the effect value into a consistent effect measure, and then obtain a consistent effect measure matrix under each target; Comprehensive module: used to obtain a comprehensive effect measurement matrix based on the consistent effect measurement matrix under all objectives; Decision-making module: used to determine the optimal electrical system design solution according to the comprehensive effect measurement matrix.

Images