Complex natural environment effect analysis method

Abstract

The invention provides a complex natural environment effect analysis method, and the method comprises the steps: building an environment effect analysis hierarchical model which comprises a target layer, a factor layer and an effect layer from top to bottom; based on the environmental effect analysis hierarchical model, according to the scale data, performing pairwise comparison and scoring on the environmental factors of the factor layer, and according to a scoring result, constructing an environmental factor fuzzy judgment matrix; according to the scale data, performing pairwise comparison and scoring on the environmental effects corresponding to the environmental factors in the effect layer, and constructing an environmental effect fuzzy judgment matrix according to a scoring result; calculating the weight of each environmental factor and environmental effect by adopting a fuzzy comprehensive evaluation method; and performing total weight sorting on all the environmental effects in the effect layer based on the environmental factors and the weights of the environmental effects, and performing analysis based on a total weight sorting result. By applying the technical scheme of the invention, the technical problem that the complex natural environment effect cannot be quantitatively and accurately analyzed in the prior art can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental engineering, and in particular to a method for analyzing effects of complex natural environments. Background Art

[0002] A complex natural environment refers to multiple natural environmental factors such as temperature, humidity, air pressure, solar radiation, rain, wind, sand and dust, mildew and salt spray that equipment faces during transportation, storage and combat use.

[0003] Complex natural environment effect analysis is a research and practical activity on the mechanism of complex natural environment effect and the prediction and evaluation of complex natural environment effect to improve the adaptability of equipment to complex natural environments. It is an important foundation and supporting technology to ensure that equipment can achieve all predetermined functions and performances and not be destroyed in complex natural environments. It is a common technology necessary for equipment development, an important link to ensure and improve equipment quality, and an important part of the equipment's full life cycle work.

[0004] At present, the analysis of complex natural environmental effects has problems such as incomplete environmental data, complicated and cumbersome analysis process, and difficulty in quantification. The analysis of natural environmental effects relies on a large amount of environmental data, but in actual operation, environmental data is often difficult to obtain or incomplete; the analysis of natural environmental effects involves the combined effects of multiple natural environmental factors, making comprehensive analysis difficult; the analysis of natural environmental effects generally has uncertainty and subjectivity, and the results are difficult to quantify.

[0005] There are many analytical methods for the impact of multiple factors, including multiple linear regression, principal component analysis, hierarchical analysis, grey correlation analysis, etc. Among them, the hierarchical analysis method is a method for quantitatively evaluating the relative importance of multiple factors, which is widely used in various industries. By constructing a judgment matrix, the hierarchical analysis method can help decision makers compare the importance of various factors and calculate their weights.

[0006] Fuzzy comprehensive evaluation method is a comprehensive evaluation method based on fuzzy mathematics. This evaluation method converts qualitative evaluation into quantitative evaluation according to the membership theory of fuzzy mathematics, that is, it uses fuzzy mathematics to make an overall evaluation of things or objects that are restricted by multiple factors. It has the characteristics of clear results and strong systematicity. It can better solve fuzzy and difficult to quantify problems and is suitable for solving various non-deterministic problems. Summary of the invention

[0007] The present invention aims to solve at least one of the technical problems existing in the prior art.

[0008] The present invention provides a complex natural environment effect analysis method, the complex natural environment effect analysis method comprising:

[0009] Establish an environmental effect analysis hierarchical model, which includes the target layer, factor layer and effect layer set from top to bottom. The environmental factors of the factor layer are set according to the different environmental factors in the complex natural environment, and the corresponding environmental effects in the effect layer are set according to each environmental factor.

[0010] Based on the environmental effect analysis hierarchical model, the environmental factors are compared and scored in pairs according to the scale data, and the environmental factor fuzzy judgment matrix is ​​constructed according to the scoring results; the environmental effects corresponding to the environmental factors are compared and scored in pairs according to the scale data, and the environmental effect fuzzy judgment matrix is ​​constructed according to the scoring results;

[0011] Based on the environmental effect analysis hierarchical model, combined with the environmental factor fuzzy judgment matrix and the environmental effect fuzzy judgment matrix, the fuzzy comprehensive evaluation method is used to calculate the weights of each environmental factor and environmental effect;

[0012] Based on the weights of environmental factors and environmental effects, all environmental effects in the effect layer are ranked by weight, and analysis is performed based on the results of the weighted total ranking.

[0013] Furthermore, the fuzzy judgment matrix of environmental factors is Among them, (l iq ,m iq ,u iq ) is the environmental factor X expressed by triangular fuzzy numbers i and X q The score after comparison, l iq 、m iq 、u iq are all scoring values, i=1,2,...,n, q=1,2,...,n, n is the number of environmental factors contained in the factor layer, and n is a positive integer; when i=q, (l iq ,m iq ,u iq )=(0.5,0.5,0.5); when i>q,

[0014] (l iq ,m iq ,u iq )=(1-u qi ,1-m qi ,1-l qi ).

[0015] Furthermore, environmental factors X i The corresponding environmental effect fuzzy judgment matrix is:

[0016] , where (l ijik ,m ijik ,u ijik) is the environmental effect X expressed by triangular fuzzy numbers ij and X ik The score after comparison, l ijik 、m ijik 、u ijik All are scoring values, j=1,2,...,m i ,k=1,2,...,m i , m i Environmental factor X i The number of environmental effects included; when j = k, (l ijik ,m ijik ,u ijik )=(0.5,0.5,0.5); when j>k, (l ijik ,m ijik ,u ijik )=(1-u ikij ,1-m ikij ,1-l ikij ).

[0017] Furthermore, the fuzzy comprehensive evaluation method is used to calculate the weights of various environmental factors and environmental effects, including:

[0018] According to the environmental factor fuzzy judgment matrix, the environmental factor triangular fuzzy number weight vector p=(p1, p2, ..., p i ,...,p n ), where p i Environmental factor X i The corresponding triangular fuzzy number weights are,

[0019]

[0020] Defuzzify the weight vector of the triangular fuzzy number of environmental factors to obtain the defuzzified weight vector of environmental factors w=(w1,w2,...,w i ,...,w n ), where w i Environmental factor X i The expected value of the weight vector, λ is a constant;

[0021] According to the environmental effect fuzzy judgment matrix, the environmental factor X in the effect layer is obtained. i The corresponding environmental effect triangular fuzzy number weight vector Among them, v ij Environmental effect X ij The corresponding triangular fuzzy number weights are,

[0022] Defuzzify the weight vector of the environmental effect triangular fuzzy number to obtain the defuzzified weight vector of the environmental effect Among them, t ij Environmental effect X ij The expected value of the weight vector,

[0023] Furthermore, the weighted total ranking of all environmental effects in the effect layer based on the weight of each environmental effect in the effect layer specifically includes:

[0024] The defuzzified weight vector of environmental factors is normalized to obtain the weight ranking vector of various environmental factors in the factor layer as θ = (θ1, θ2, ..., θ i ,...,θ n ),in,

[0025] The weight vector of the defuzzified environmental effect is normalized to obtain the environmental factor X i The corresponding weight ranking vector of various environmental effects is in,

[0026] According to the weight ranking vectors of various environmental factors and the weight ranking vectors of various environmental effects, the environmental factor X is obtained. i Corresponding environmental effect X ij The total ranking weight is σ ij θ i .

[0027] The technical solution of the present invention provides a method for analyzing the effects of complex natural environments. The method targets multiple environmental influencing factors in complex natural environments, considers the environmental effects of products under multiple environmental stress conditions, and conducts comprehensive analysis based on a method combining analytic hierarchy process and fuzzy comprehensive evaluation. The method achieves systematic and quantitative analysis of complex natural environmental effects, and provides a basis for the environmental adaptability design of equipment. Compared with the prior art, the technical solution of the present invention can solve the technical problem that the prior art cannot perform quantifiable and highly accurate analysis of complex natural environmental effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The included drawings are used to provide a further understanding of the embodiments of the present invention, which constitute a part of the specification, are used to illustrate the embodiments of the present invention, and together with the text description, explain the principles of the present invention. Obviously, the drawings in the following description are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0029] Figure 1A schematic flow chart of a complex natural environment effect analysis method provided according to a specific embodiment of the present invention is shown;

[0030] Figure 2 A schematic diagram of the equipment natural environment effect analysis hierarchical model corresponding to Table 1 is shown;

[0031] Figure 3 A schematic diagram of a marine natural environment effect analysis hierarchical model provided according to a specific embodiment of the present invention is shown. DETAILED DESCRIPTION

[0032] It should be noted that, in the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other. The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present invention and its application or use. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0034] Unless otherwise specifically stated, the relative arrangement, numerical expressions and numerical values ​​of the parts and steps set forth in these embodiments do not limit the scope of the present invention. At the same time, it should be understood that, for ease of description, the sizes of the various parts shown in the accompanying drawings are not drawn according to actual proportional relationships. The technology, methods and equipment known to those of ordinary skill in the relevant art may not be discussed in detail, but in appropriate cases, the technology, methods and equipment should be considered as a part of the specification. In all examples shown and discussed here, any specific value should be interpreted as being merely exemplary, rather than as a limitation. Therefore, other examples of exemplary embodiments may have different values.

[0035] like Figure 1 As shown, according to a specific embodiment of the present invention, a method for analyzing complex natural environment effects is provided, the method comprising:

[0036] Establish an environmental effect analysis hierarchical model, which includes the target layer, factor layer and effect layer set from top to bottom. The environmental factors of the factor layer are set according to the different environmental factors in the complex natural environment, and the corresponding environmental effects in the effect layer are set according to each environmental factor.

[0037] Based on the environmental effect analysis hierarchical model, the environmental factors in the factor layer are compared and scored in pairs according to the scale data, and the environmental factor fuzzy judgment matrix is ​​constructed according to the scoring results; based on the scale data, the environmental effects corresponding to the environmental factors in the effect layer are compared and scored in pairs, and the environmental effect fuzzy judgment matrix is ​​constructed according to the scoring results;

[0038] Based on the environmental effect analysis hierarchical model, combined with the environmental factor fuzzy judgment matrix and the environmental effect fuzzy judgment matrix, the fuzzy comprehensive evaluation method is used to calculate the weights of each environmental factor and environmental effect;

[0039] Based on the weights of environmental factors and environmental effects, all environmental effects in the effect layer are ranked by weight, and analysis is performed based on the results of the weighted total ranking.

[0040] The application of this configuration method provides a method for analyzing the effects of complex natural environments. It targets a variety of environmental influencing factors in complex natural environments, considers the environmental effects of products under multiple environmental stress conditions, and conducts a comprehensive analysis based on a combination of hierarchical analysis method and fuzzy comprehensive evaluation. It achieves a systematic and quantitative analysis of complex natural environment effects, and provides a basis for the environmental adaptability design of equipment.

[0041] First, an environmental effect analysis hierarchical model is established. The environmental effect analysis hierarchical model includes the target layer, factor layer and effect layer set from top to bottom. The environmental factors of the factor layer are set according to the different environmental factors in the complex natural environment, and the corresponding environmental effects in the effect layer are set according to each environmental factor.

[0042] In the present invention, the environmental effect analysis hierarchical model is divided into the target layer, factor layer and effect layer from top to bottom. With the equipment natural environment effect analysis as the overall goal, the model is decomposed downwards in order according to the different environmental factors in the complex natural environment. According to the different environmental factors in the complex natural environment, the environmental factor layers including temperature, humidity, air pressure, solar radiation, rain, wind, etc. are set as the factor layer. Among them, the i-th environmental factor is represented by X i , i=1,2,...,n, n is the number of environmental factors contained in the factor layer, and n is a positive integer.

[0043] As a specific embodiment of the present invention, for each environmental factor in the factor layer, the corresponding natural environmental effect is specifically analyzed and the factor is decomposed downward. Table 1 shows the environmental effects of 9 types of natural environmental factors in GJB 150A-2009 "Military Equipment Laboratory Environmental Test Method". All natural environmental effects constitute the effect layer, where the i-th environmental factor X i The corresponding j-th environmental effect is expressed as X ij ,j=1,2,...,m i , m i Environmental factor X i Number of environmental effects included, m i Is a positive integer.

[0044] Table 1 Environmental factors-effects table

[0045]

[0046]

[0047] Taking into account the environmental effects of various environmental factors, a hierarchical model for environmental effect analysis corresponding to Table 1 is established, such as Figure 2 shown.

[0048] Furthermore, after establishing the environmental effect analysis hierarchical model, based on the environmental effect analysis hierarchical model, according to the scale data, the environmental factors in the factor layer are compared and scored in pairs, and the environmental factor fuzzy judgment matrix is ​​constructed according to the scoring results; according to the scale data, the environmental effects corresponding to the environmental factors in the effect layer are compared and scored in pairs, and the environmental effect fuzzy judgment matrix is ​​constructed according to the scoring results.

[0049] The present invention establishes a multi-level hierarchical structure model and a fuzzy judgment matrix. As a specific embodiment of the present invention, a triangular fuzzy number (l, m, u) is used to quantitatively represent the results of the comparison between the factors at the same level under a given criterion. l and u represent the fuzziness of the judgment. When l and u are equal, it means that the judgment is non-fuzzy. Assume that n environmental factors are X1, X2, ..., X n ,Compared with the scale data table shown in Table 2, the experts compared and scored each environmental factor in the natural environment, and filled it into the environmental factor fuzzy judgment matrix scoring table, as shown in Table 3.

[0050] Table 2 Scale data table

[0051]

[0052]

[0053] Table 3 Environmental factor fuzzy judgment matrix scoring table

[0054] M <![CDATA[X1]]> <![CDATA[X2]]> ··· <![CDATA[X q ]]> ··· <![CDATA[X n ]]> <![CDATA[X1]]> (0.5,0.5,0.5) <![CDATA[(l 12 ,m 12 ,u 12 )]]> ··· <![CDATA[(l 1q ,m 1q ,u 1q )]]> ··· <![CDATA[(l 1n ,m 1n ,u 1n )]]> <![CDATA[X2]]> <![CDATA[(1-u 12 ,1-m 12 ,1-l 12 )]]> (0.5,0.5,0.5) ··· <![CDATA[(l 2q ,m 2q ,u 2q )]]> ··· <![CDATA[(l 2n ,m 2n ,u 2n )]]> ··· ··· ··· ··· ··· ··· ··· <![CDATA[X i ]]> <![CDATA[(l i1 ,m i1 ,u i1 )]]> <![CDATA[(l i2 ,m i2 ,u i2 )]]> ··· <![CDATA[(l iq ,m iq ,u iq )]]> ··· <![CDATA[(l in ,m in ,u in )]]> ··· ··· ··· ··· ··· ··· ··· <![CDATA[X n ]]> <![CDATA[(l n1 ,m n1 ,u n1 )]]> <![CDATA[(l n2 ,m n2 ,u n2 )]]> ··· <![CDATA[(l nq ,m nq ,u nq )]]> ··· (0.5,0.5,0.5)

[0055] According to the environmental factor fuzzy judgment matrix scoring table shown in Table 3, it is converted into an environmental factor fuzzy judgment matrix Among them, (l iq ,m iq ,u iq ) is the environmental factor X expressed by triangular fuzzy numbers i and X q The score after comparison, l iq 、m iq 、u iq are all scoring values, i=1,2,...,n,q=1,2,...,n; when i=q,

[0056] (l iq ,m iq ,u iq )=(0.5,0.5,0.5); when i>q, (l iq ,m iq ,u iq )=(1-u qi ,1-m qi ,1-l qi ).

[0057] In the same way, the effects of the environmental effects of specific environmental factors under the environmental conditions are compared and scored in pairs, and filled in the environmental effect fuzzy judgment matrix scoring table, as shown in Table 4. i The environmental effect fuzzy judgment matrix is ​​scored and converted into the i-th environmental factor X i The corresponding environmental effect fuzzy judgment matrix

[0058]

[0059] , where (l ijik ,m ijik ,u ijik ) is the environmental effect X expressed by triangular fuzzy numbers ij and X ik The score after comparison, l ijik 、m ijik 、u ijik All are scoring values, j=1,2,...,m i ,k=1,2,...,m i ; When j = k,

[0060] (l ijik ,m ijik ,u ijik)=(0.5,0.5,0.5); when j>k,

[0061] (l ijik ,m ijik ,u ijik )=(1-u ikij ,1-m ikij ,1-l ikij ). If an environmental factor only corresponds to a single environmental effect, there is no need to analyze the environmental effect.

[0062] Table 4 Environmental effect fuzzy judgment matrix scoring table

[0063]

[0064]

[0065] Furthermore, after constructing the fuzzy judgment matrix of environmental factors and the fuzzy judgment matrix of environmental effects, based on the environmental effect analysis hierarchy model and combined with the fuzzy judgment matrix of environmental factors, the fuzzy comprehensive evaluation method was used to calculate the weights of each environmental factor and environmental effect.

[0066] Specifically, for n environmental factors such as temperature and humidity in the factor layer, the triangular fuzzy complementary matrix R = (r i ) n×n {r ij =(l iq ,m iq ,u iq ),i=1,2,...,n,q=1,2,...,n}, and normalize the obtained column vector to transform it into the environmental factor triangular fuzzy number weight vector p=(p1,p2,...,p i ,...,p n ), where p i Environmental factor X i The corresponding triangular fuzzy number weights are,

[0067] Defuzzify the weight vector of the triangular fuzzy number of environmental factors to obtain the defuzzified weight vector of environmental factors w=(w1,w2,...,w i ,...,w n ), where w i Environmental factor X i The expected value of the weight vector, λ is a constant value, usually taken as 0.5, to ensure the neutrality of the analysis.

[0068] Similarly, calculate and obtain the environmental factor X in the effect layer i The corresponding environmental effect triangular fuzzy number weight vector and the weight vector for defuzzification of environmental effects Among them, v ij Environmental effect X ij The corresponding triangular fuzzy number weights are, t ij Environmental effect X ij The expected value of the weight vector, λ is a constant value, which can also be 0.5.

[0069] Furthermore, after obtaining the weights of various environmental factors and environmental effects, all environmental effects in the effect layer are ranked by weight based on the weight of each environmental effect in the effect layer, and analysis is performed based on the total ranking result.

[0070] The defuzzified weight vector of the environmental factors obtained in the previous step is normalized. For each environmental factor in the factor layer, the weight ranking vector of each environmental factor in the factor layer is obtained as θ = (θ1, θ2, ..., θ i ,...,θ n ),in,

[0071] Similarly, the weight vector of the defuzzified environmental effect is normalized. i The corresponding weight ranking vector of various environmental effects is in,

[0072] In order to compare the importance of each environmental effect in the effect layer with the highest layer, i.e. the environmental effect, all environmental effects in the effect layer are ranked by weight, and the environmental factor X i Corresponding environmental effect X ij The total ranking weight is σ ij θ i , as shown in Table 5.

[0073] Table 5 Environmental effect weight ranking table

[0074]

[0075]

[0076] As a specific embodiment of the present invention, based on the results of the weight analysis of complex natural environment effects, the environmental effects with the highest ranking can be taken as the key environmental effects in the complex natural environment. By further analyzing the specific impact of environmental effects on equipment, such as fatigue, corrosion, aging, etc., combined with FMECA, the typical weak links of the equipment in the complex natural environment can be jointly determined, and the feedback can be given to the equipment design to guide the forward design of the product.

[0077] The requirements for the storage life of aerospace products are constantly increasing, and the service environment is becoming more complex and harsh, which puts higher requirements on the environmental adaptability of products. The present invention proposes a complex natural environment effect analysis method. According to various environmental factors in complex natural environments, the environmental effects of products under multiple environmental stress conditions are considered, and a comprehensive analysis is performed based on a combination of hierarchical analysis method and fuzzy comprehensive evaluation. It is suitable for analyzing the effects of complex natural environments such as oceans, deserts, and polar regions. Through systematic and quantitative comprehensive analysis, the environmental effects that need to be focused on in the environment of the equipment are clarified, and the environmental adaptability design of the equipment is carried out in a targeted manner, which plays an important role in improving the environmental adaptability of the equipment.

[0078] The present invention has been successfully applied to the analysis of marine natural environment effects in a certain project. Verified by natural environment tests, the environmental adaptability design has significant results and the technology has the capability to be promoted and applied.

[0079] In order to further understand the present invention, the following Figure 1 and Figure 3 Provide a detailed explanation of the analysis of specific marine natural environmental effects.

[0080] Step 1,

[0081] The service environment of a certain product is mainly the marine natural environment. The environmental factors of the marine natural environment include temperature, humidity, solar radiation, rain, wind, mold and salt spray. A hierarchical model for analyzing the effects of the marine natural environment is established for the above environmental factors, such as Figure 3 shown.

[0082] Step 2,

[0083] Experts compare and score the environmental factors and environmental effects in the marine natural environment of the project, fill in the environmental factor fuzzy judgment matrix scoring table and environmental effect fuzzy judgment matrix scoring table, as shown in Tables 6 to 11, and convert them into the corresponding environmental factor fuzzy judgment matrix and environmental effect fuzzy judgment matrix. Among them, humidity and wind environmental factors are single environmental effects and do not need to be scored at the effect layer.

[0084] Table 6 Environmental factor fuzzy judgment matrix scoring table

[0085] M <![CDATA[X1]]> <![CDATA[X2]]> <![CDATA[X3]]> <![CDATA[X4]]> <![CDATA[X5]]> <![CDATA[X6]]> <![CDATA[X7]]> <![CDATA[X1]]> (0.5,0.5,0.5) (0.4,0.5,0.6) (0.4,0.6,0.7) (0.5,0.6,0.8) (0.7,0.9,0.9) (0.6,0.7,0.8) (0.4,0.5,0.5) <![CDATA[X2]]> (0.4,0.5,0.6) (0.5,0.5,0.5) (0.5,0.6,0.6) (0.6,0.6,0.7) (0.7,0.8,0.9) (0.5,0.7,0.8) (0.3,0.4,0.5) <![CDATA[X3]]> (0.3,0.4,0.6) (0.4,0.4,0.5) (0.5,0.5,0.5) (0.5,0.6,0.6) (0.6,0.7,0.9) (0.5,0.6,0.7) (0.3,0.4,0.5) <![CDATA[X4]]> (0.2,0.4,0.5) (0.3,0.4,0.4) (0.4,0.4,0.5) (0.5,0.5,0.5) (0.6,0.6,0.7) (0.5,0.5,0.6) (0.1,0.1,0.2) <![CDATA[X5]]> (0.1,0.1,0.3) (0.4,0.4,0.5) (0.1,0.3,0.4) (0.3,0.4,0.4) (0.5,0.5,0.5) (0.3,0.4,0.4) (0.1,0.2,0.3) <![CDATA[X6]]> (0.2,0.3,0.4) (0.2,0.3,0.5) (0.3,0.4,0.5) (0.4,0.5,0.5) (0.6,0.6,0.7) (0.5,0.5,0.5) (0.1,0.2,0.2) <![CDATA[X7]]> (0.5,0.5,0.6) (0.5,0.6,0.7) (0.6,0.7,0.8) (0.8,0.9,0.9) (0.7,0.8,0.9) (0.8,0.9,0.9) (0.5,0.5,0.5)

[0086] Table 7 Temperature environment effect fuzzy judgment matrix scoring table

[0087] <![CDATA[X1]]> <![CDATA[X 11 ]]> <![CDATA[X 12 ]]> <![CDATA[X 13 ]]> <![CDATA[X 11 ]]> (0.5,0.5,0.5) (0.5,0.6,0.7) (0.1,0.2,0.3) <![CDATA[X 12 ]]> (0.3,0.4,0.5) (0.5,0.5,0.5) (0.1,0.1,0.2) <![CDATA[X 13 ]]> (0.7,0.8,0.9) (0.8,0.9,0.9) (0.5,0.5,0.5)

[0088] Table 8 Solar radiation environmental effect fuzzy judgment matrix scoring table

[0089]

[0090]

[0091] Table 9 Scoring table of fuzzy judgment matrix of rain environment effect

[0092] <![CDATA[X4]]> <![CDATA[X 41 ]]> <![CDATA[X 42 ]]> <![CDATA[X 43 ]]> <![CDATA[X 41 ]]> (0.5,0.5,0.5) (0.5,0.6,0.7) (0.3,0.4,0.4) <![CDATA[X 42 ]]> (0.3,0.4,0.5) (0.5,0.5,0.5) (0.2,0.3,0.3) <![CDATA[X 43 ]]> (0.6,0.6,0.7) (0.7,0.7,0.8) (0.5,0.5,0.5)

[0093] Table 10 Scoring table of fuzzy judgment matrix of mold environmental effect

[0094] <![CDATA[X6]]> <![CDATA[X 61 ]]> <![CDATA[X 62 ]]> <![CDATA[X 61 ]]> (0.5,0.5,0.5) (0.2,0.3,0.4) <![CDATA[X 62 ]]> (0.6,0.7,0.8) (0.5,0.5,0.5)

[0095] Table 11 Fuzzy judgment matrix of salt spray environmental effect

[0096] <![CDATA[X7]]> <![CDATA[X 71 ]]> <![CDATA[X 72 ]]> <![CDATA[X 73 ]]> <![CDATA[X 71 ]]> (0.5,0.5,0.5) (0.6,0.7,0.8) (0.7,0.8,0.8) <![CDATA[X 72 ]]> (0.2,0.3,0.4) (0.5,0.5,0.5) (0.5,0.6,0.6) <![CDATA[X 73 ]]> (0.2,0.3,0.3) (0.4,0.4,0.5) (0.5,0.5,0.5)

[0097] The corresponding fuzzy judgment matrix of environmental factors and the fuzzy judgment matrix of each environmental effect are as follows: The fuzzy judgment matrix of environmental factors is:

[0098]

[0099] The fuzzy judgment matrix of each temperature environment effect is as follows:

[0100] The fuzzy judgment matrix of temperature environment effect is:

[0101] The fuzzy judgment matrix of solar radiation environmental effect is:

[0102] The fuzzy judgment matrix of rain environment effect is:

[0103] The fuzzy judgment matrix of mold environmental effect is:

[0104] The fuzzy judgment matrix of salt spray environmental effect is:

[0105] Step 3,

[0106] Based on the environmental effect analysis hierarchical model, the fuzzy comprehensive evaluation method is used to calculate the weight of each environmental effect in the effect layer. For the factor layer and the effect layer, the sum of the rows of the triangular fuzzy complementary matrix is ​​calculated and the obtained column vector is normalized to convert it into a triangular fuzzy number weight vector.

[0107] For the total target M of environmental effect analysis, the triangular fuzzy number weight vectors of temperature, humidity, solar radiation, rain, wind, mold and salt spray are:

[0108]

[0109] For the temperature environmental factor, the environmental effect triangular fuzzy number weight vector is v1 = [(0.22, 0.289, 0.375), (0.18, 0.222, 0.3), (0.4, 0.489, 0.575)].

[0110] For the solar radiation environmental factor, the environmental effect triangular fuzzy number weight vector is v3 = [(0.364, 0.450.556), (0.454, 0.55, 0.667)].

[0111] For the rain environment factor, the environmental effect triangular fuzzy number weight vector is v4 = [(0.265, 0.333, 0.390), (0.204, 0.267, 0.317), (0.367, 0.4, 0.488)].

[0112] For mold environmental factors, the environmental effect triangular fuzzy number weight vector is v6 = [(0.318, 0.4, 0.5), (0.5, 0.6, 0.722)].

[0113] For the salt spray environmental factor, the environmental effect triangular fuzzy number weight vector is v7 = [(0.367, 0.444, 0.512), (0.245, 0.289, 0.366), (0.224, 0.267, 0.684)].

[0114] Using the formula Defuzzify the weight vector of environmental factors, set λ equal to 0.5, and calculate the environmental factor X i The expected value of the weight vector w i , then the weight vector of defuzzification of environmental factors is w = (0.174, 0.1676, 0.1505, 0.1214, 0.0952, 0.1135, 0.1999).

[0115] Similarly, the weight vector of the environmental effect is defuzzified to calculate the environmental effect X ij The expected value of the weight vector For the temperature environmental factor, the weight vector for defuzzification of the environmental effect is t1 = (0.193, 0.131, 0.688).

[0116] For the solar radiation environmental factor, the weight vector for defuzzification of the environmental effect is t3 = (0.455, 0.555).

[0117] For the rain environment factor, the weight vector for defuzzification of the environmental effect is t4 = (0.331, 0.264, 0.414).

[0118] For mold environmental factors, the weight vector for defuzzification of environmental effects is t6 = (0.405, 0.606).

[0119] For the salt spray environmental factor, the weight vector for defuzzification of the environmental effect is t7 = (0.442, 0.297, 0.361).

[0120] Step 4,

[0121] The defuzzified weight vector is normalized, and for each environmental factor in the factor layer, the environmental factor weight ranking vector is obtained as θ = (0.1702, 0.1640, 0.1472, 0.1188, 0.0931, 0.1111, 0.1956) T ,

[0122] For the temperature environmental factor, the weight ranking vector of the environmental effect is σ1 = (0.190, 0.128, 0.682) T ,

[0123] For the solar radiation environmental factor, the weight ranking vector of the environmental effect is σ3 = (0.45, 0.55) T ,

[0124] For the rain environment factor, the weight ranking vector of the environmental effect is σ4 = (0.328, 0.261, 0.411) T ,

[0125] For mold environmental factors, the weight ranking vector of environmental effects is σ6 = (0.4, 0.6) T ,

[0126] For the salt spray environmental factor, the weight ranking vector of the environmental effect is σ7 = (0.402, 0.270, 0.328) T .

[0127] In order to compare the importance of each environmental effect in the effect layer relative to the highest layer, namely the natural environmental effect, all environmental effects in the effect layer are ranked, and finally an environmental effect weight ranking table is obtained, as shown in Table 12.

[0128] Table 12 Environmental effect weight ranking table

[0129]

[0130] According to the results of the weight analysis of the marine natural environment effects, the key environmental effects in this marine natural environment are high temperature effect, moisture and heat effect and corrosion effect. By analyzing the typical failure modes of products under high temperature effect, moisture and heat effect and corrosion effect, such as pitting corrosion, galvanic corrosion, aging, etc., the typical weak links of the products in this marine natural environment are further clarified, and environmental adaptability design can be carried out in a targeted manner.

[0131] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A complex natural environment effect analysis method, characterized in that: The complex natural environment effect analysis method comprises: Establishing an environmental effect analysis hierarchical model, the environmental effect analysis hierarchical model includes a target layer, a factor layer and an effect layer set from top to bottom, setting the environmental factors of the factor layer according to different environmental factors in a complex natural environment, and setting the corresponding environmental effects in the effect layer according to each environmental factor; Based on the environmental effect analysis hierarchical model, each environmental factor is compared and scored in pairs according to the scale data, and a fuzzy judgment matrix of environmental factors is constructed according to the scoring results; each environmental effect corresponding to the environmental factor is compared and scored in pairs according to the scale data, and a fuzzy judgment matrix of environmental effects is constructed according to the scoring results; Based on the environmental effect analysis hierarchical model, combined with the environmental factor fuzzy judgment matrix and the environmental effect fuzzy judgment matrix, the weights of each environmental factor and environmental effect are calculated using a fuzzy comprehensive evaluation method; Based on the weights of environmental factors and environmental effects, all environmental effects in the effect layer are ranked by weight, and analysis is performed based on the results of the weighted total ranking.

2. The complex natural environment effect analysis method according to claim 1, characterized in that: The environmental factor fuzzy judgment matrix is: Among them, (l iq ,m iq ,u iq ) is the environmental factor X expressed by triangular fuzzy numbers i and X q The score after comparison, l iq 、m iq 、u iq are all scoring values, i = 1, 2, ..., n, q = 1, 2, ..., n, n is the number of environmental factors contained in the factor layer, and n is a positive integer; when i = q, (l iq ,m iq ,u iq )=(0.5,0.5,0.5); when i>q, (l iq ,m iq ,u iq )=(1-u qi ,1-m qi ,1-l qi ).

3. The complex natural environment effect analysis method according to claim 2, characterized in that: Environmental FactorsX i The corresponding environmental effect fuzzy judgment matrix is: , Among them, (l ijik ,m ijik ,u ijik ) is the environmental effect X expressed by triangular fuzzy numbers ij and X ik The score after comparison, l ijik 、m ijik 、u ijik All are scoring values, j=1,2,...,m i ,k=1,2,...,m i , m i Environmental factor X i The number of environmental effects included; when j = k, (l ijik ,m ijik ,u ijik )=(0.5,0.5,0.5); when j>k, (l ijik ,m ijik ,u ijik )=(1-u ikij ,1-m ikij ,1-l ikij ).

4. The complex natural environment effect analysis method according to claim 3 is characterized in that: The fuzzy comprehensive evaluation method is used to calculate the weights of various environmental factors and environmental effects, including: According to the environmental factor fuzzy judgment matrix, the environmental factor triangular fuzzy number weight vector p=(p1, p2, ..., p i ,...,p n ), where p i Environmental factor X i The corresponding triangular fuzzy number weights are, Defuzzification is performed on the triangular fuzzy number weight vector of the environmental factor to obtain the defuzzified weight vector of the environmental factor w=(w1, w2, ..., w i ,...,w n ), where w i Environmental factor X i The expected value of the weight vector, λ is a constant; According to the environmental effect fuzzy judgment matrix, the environmental factor X in the effect layer is obtained. i The corresponding environmental effect triangular fuzzy number weight vector v i =(v i1 ,v i2 ,...,v ij ,...,v imi ), where v ij Environmental effect X ij The corresponding triangular fuzzy number weights are, Defuzzification is performed on the environmental effect triangular fuzzy number weight vector to obtain the defuzzified weight vector t of the environmental effect i =(t i1 ,t i2 ,...,t ij ,...,t imi ), where t ij Environmental effect X ij The expected value of the weight vector, 5. The complex natural environment effect analysis method according to claim 4, characterized in that: The total weight ranking of all environmental effects in the effect layer based on the weight of each environmental effect in the effect layer specifically includes: The defuzzified weight vector of the environmental factors is normalized to obtain the weight ranking vector of each environmental factor in the factor layer as θ=(θ1,θ2,...,θ i ,...,θ n ),in, The weight vector of the defuzzified environmental effect is normalized to obtain the environmental factor X i The corresponding weight ranking vector of various environmental effects is σ i =(σ i1 ,σ i2 ,...,σ ij ,...,σ imi ),in, According to the weight ranking vectors of various environmental factors and the weight ranking vectors of various environmental effects, the environmental factor X is obtained. i Corresponding environmental effect X ij The total ranking weight is σ ij θ i .

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