A method for calculating the propagation impact intensity of multi-source adaptive changes in products based on path coupling

Abstract

The present invention relates to a method for calculating the propagation impact intensity of multi-source adaptive changes in products based on path coupling, and belongs to the field of engineering change technology. The method constructs a product adaptive change propagation network based on the propagation impact relationship between product parts, identifies the coupling nodes and coupling paths of multi-source adaptive change propagation, determines the correlation of the structural change attribute changes of the corresponding parts caused by the coupling nodes when they are affected by the propagation of different change sources, calculates the direct propagation impact intensity of the front-end nodes of the coupling path on the back-end nodes during multi-source changes, and calculates the propagation impact intensity of multi-source adaptive changes in products based on the correlation of the coupling paths, the direct propagation impact intensity of the coupling nodes, and the complexity of the changes of the parts. The present invention can effectively identify the coupling nodes and coupling paths of multi-source adaptive changes, improve product design efficiency, reduce change costs, and provide a basis for adaptive changes in the process of product customization.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering changes, and in particular to a method for calculating the propagation impact intensity of multi-source adaptive changes to products based on path coupling. Background Art

[0002] Adaptive change is the process of redesigning products to respond to evolving customer needs. The goal is to meet market and customer demands through adjustments to product structure. In actual product adaptive change, changes may occur simultaneously to multiple components, a situation known as multi-source change. The propagation paths and scope of multi-source changes vary. During the multi-source change propagation process, these paths may become coupled, further complicating the entire adaptive change propagation process. Coupling paths significantly impact the adaptive change propagation network, increasing network complexity, change risk, and the likelihood of change conflicts. Analyzing coupling paths can better assess the risks of adaptive changes and predict the scope of impact, enabling targeted design optimization and improvement to enhance product design adaptability.

[0003] The existing publicly available method for calculating the propagation intensity of product design changes is based on the propagation risk or propagation probability between nodes, and uses complex network analysis technology to calculate the propagation intensity of nodes or select the optimal path, thereby realizing the influence judgment of nodes or modules.

[0004] CN 117236449 A discloses a part influence identification method suitable for both single-source changes and multi-source changes. The difference between the propagation intensity calculation of multi-source changes and single-source changes lies only in the difference in the propagation reachability index and the part change complexity index due to the different total number of change propagation network nodes. The method does not involve the role of coupling paths in multi-source change propagation. However, in actual multi-source changes, path coupling is inevitable, which will make the change propagation process more complicated, affecting the product change time and change cost.

[0005] CN118295695A discloses a method for module type identification and adaptive change impact calculation of an open architecture product. Based on the physical connection relationship between modules, the dependency level between modules is determined, and the dependency coupling between modules is calculated, thereby determining the adaptive change impact between modules. However, this method only targets the direct propagation impact between modules, and does not involve indirect propagation of modules or propagation path coupling. Summary of the Invention

[0006] The purpose of this invention is to analyze the propagation process of multi-source adaptive changes of products. Considering the coupling of propagation paths, this invention proposes a method for calculating the impact intensity of multi-source adaptive changes of products based on path coupling, providing methodological guidance for the effective management of product customization and adaptive changes.

[0007] The method for calculating the propagation impact intensity of multi-source adaptive changes to products based on path coupling of the present invention specifically includes the following steps:

[0008] Step 1: Based on the propagation influence relationship between product parts, a product adaptive change propagation network is constructed, the nodes and paths of the common propagation influence of multi-source adaptive changes are analyzed, and the coupling nodes and coupling paths of the multi-source adaptive change propagation are identified;

[0009] Step 2: Analyze the change propagation properties of the nodes on the coupling paths for the coupling nodes and coupling paths determined in Step 1, and determine the complete negative correlation, irrelevance, and complete positive correlation of the structural change properties of the corresponding parts caused by the coupling nodes being affected by different change sources.

[0010] Step 3: for the coupling nodes and coupling paths determined in step 1, analyze the change propagation properties of the nodes on the coupling paths, and calculate the correlation between the coupling paths when the coupling nodes are affected by different change sources.

[0011] Step 4: For the complete negative correlation, irrelevant correlation, and complete positive correlation of the structural change attribute changes of the coupling nodes determined in Step 2, calculate the direct propagation influence intensity of the front-end node of the coupling path on the back-end node under different change sources;

[0012] Step 5: Based on the correlation between the coupling paths determined in step 3, calculate the direct propagation impact intensity of the front-end node of the coupling path on the back-end node under different change sources;

[0013] Step 6: Calculate the multi-source adaptive change propagation impact intensity of the parts corresponding to the uncoupled nodes based on the correlation of the coupling paths, the direct propagation impact intensity of the coupled nodes, and the change complexity of the parts;

[0014] Step 7: Calculate the multi-source adaptive change propagation impact intensity of the part corresponding to the coupling node based on the correlation of the coupling path, the direct propagation impact intensity of the coupling node, and the change complexity of the part.

[0015] In step 1, based on the propagation influence relationship between product parts, a product adaptive change propagation network is constructed, the nodes and paths of the common propagation influence of multi-source adaptive changes are analyzed, and the coupling nodes and coupling paths of the multi-source adaptive change propagation are identified;

[0016] The reachability matrix is ​​used to determine the nodes affected by each change source propagation. Nodes affected by different change sources are called coupled nodes. When two nodes A and B are both change sources, the coupled node set is expressed as V A×B = V A∩ V B ,in V A and V B They represent the node sets affected by the propagation when nodes A and B are independent change sources. The direct propagation path between coupled nodes is called a coupling path. When the direct propagation path between two nodes is generated by the joint propagation of two or more change sources, it is called path coupling. If the coupled nodes v i Direct propagation affects coupling nodes v j , then the coupling path is expressed as Path( A ⊕ B ) vi→vj ,in v i 、 v j ∈ V A×B .

[0017] In step 2, for the coupling nodes and coupling paths determined in step 1, the change propagation properties of the nodes on the coupling paths are analyzed to determine the complete negative correlation, irrelevant correlation, and complete positive correlation of the structural change properties of the corresponding parts caused by the coupling nodes being affected by different change sources.

[0018] According to the change attributes of the change source, determine the part structure change attributes corresponding to each node on the multi-source adaptive change propagation path, and judge the correlation of the change attributes of the part structure change corresponding to the coupling node; when node A is the change source, the coupling path Path ( A ⊕ B ) vi→vj Previous node v j When the structural attribute changes with node B as the change source, Path( A ⊕ B ) vi→vj Previous node v j If there is no correlation between the structural property changes of A ⊕ B ) vi→vj Not relevant, remember R ( A ⊕ B ) i，j =0; when the coupling path Path( A ⊕ B ) vi→vj Previous node v jWhen nodes A and B are both sources of change, the same structural attribute is affected by the propagation and the change trend is the same, then the coupling paths are considered to be completely positively correlated, and the value is recorded as R ( A ⊕ B ) i，j =1; when the coupling path Path( A ⊕ B ) vi→vj Previous node v j When nodes A and B are both sources of change, the same structural attribute is affected by the propagation and the change trends are opposite, then the coupling path is considered to be completely negatively correlated, and the value is recorded as R ( A ⊕ B ) i，j = -1.

[0019] In step 3, for the coupling nodes and coupling paths determined in step 1, the change propagation properties of the nodes on the coupling paths are analyzed, and the correlation between the coupling paths when the coupling nodes are affected by different change sources is calculated;

[0020] The structural property changes of the parts corresponding to the nodes are regarded as vectors, and the vector cosine value is used to measure the correlation between the two vectors. Assuming that the coupling path Path ( A ⊕ B ) vi→vj Previous node v j When node A is the source of the change, the structural attribute change affected by the propagation is X, and the node v j When node B is the source of the change, the structural attribute change affected by the propagation is Y, and the correlation between the two is

[0021] ,

[0022] Where |X| and |Y| denote the modulo of X and Y, respectively, and X·Y denotes the dot product of X and Y.

[0023] In step 4, for the complete negative correlation, irrelevant correlation, and complete positive correlation of the structural change attribute changes of the coupling nodes determined in step 2, the direct propagation influence intensity of the front-end node of the coupling path on the back-end node is calculated for different change sources;

[0024] For the coupling path Path( A ⊕ B ) vi→vj , v i is the front-end node of the propagation path, v j is the back-end node of the propagation path, I( A ) vi,j When node A is the source of changes v i right v j The direct transmission impact intensity, I ( B ) vi,j When Node B is the source of changes v i right v j The direct propagation influence strength of nodes A and B is the source of the change. v i right v j The direct transmission impact intensity is recorded as I ( A ⊕ B ) vi，j ;

[0025] When node A is a single source, the direct transmission impact intensity between nodes is calculated as follows:

[0026] I ( A ) vi,j = p i,j × S ( A ) Sj ,

[0027] Where, p i,j For nodes v i right v j Adaptive change propagation probability, S ( A ) Sj When node A is the source of changes v j The adaptive change complexity index of the corresponding parts;

[0028] S ( A ) Sj = S ( A ) Cj / S ( A ) Cmax ,

[0029] ,

[0030] Where, C (A ) vj When node A is the source of changes v j The cost of changing the corresponding parts, T ( A ) vj For nodes v j Corresponding parts change time, C ( A ) P is the sum of the cost of changing all parts of the product, T ( A ) P is the sum of the change time of all parts of the product, S ( A ) Cj When node A is the source of changes v j The complexity of adaptive changes of corresponding parts, S ( A ) Cmax The maximum adaptive change complexity of all parts when node A is the change source;

[0031] The same method is used to calculate the direct transmission impact intensity between nodes when node B is a single source change. I ( B ) vi,j ;

[0032] but I ( A ⊕ B ) vi，j Expressed as

[0033] .

[0034] In step 5, based on the correlation between the coupling paths determined in step 3, the direct propagation influence intensity of the front-end node of the coupling path on the back-end node is calculated for different change sources;

[0035] when R ( A ⊕ B ) i，j ≠{-1, 0, 1}, it means that nodes A and B are both change sources when the coupling path Path ( A ⊕ B ) vi→vj With partial correlation, the nodes v i right v j The direct transmission impact intensity is calculated as follows;

[0036] whenR ( A ⊕ B ) i，j ∈(0,1),

[0037] ,

[0038] when R ( A ⊕ B ) i，j ∈(-1,0),

[0039] .

[0040] In step 6, the multi-source adaptive change propagation impact intensity of the parts corresponding to the uncoupled nodes is calculated based on the correlation of the coupling paths, the direct propagation impact intensity of the coupled nodes, and the change complexity of the parts.

[0041] When nodes A and B are both sources of changes, if v i is an uncoupled node, then v i Adaptive change propagation impact intensity I ( A ⊕ B ) vi for

[0042] ,

[0043] Where, N vi For nodes v i Direct propagation affects the number of other nodes, R vi node v i The number of other nodes affected by indirect propagation, S Sj When both nodes A and B are the source of changes v j The adaptive change complexity index of the corresponding parts, N To adaptively change the total number of nodes in the propagation network, w 1 and w 2 is the weight, w 1+ w 2=1;

[0044] In step 7, the multi-source adaptive change propagation impact intensity of the part corresponding to the coupling node is calculated based on the correlation of the coupling path, the direct propagation impact intensity of the coupling node, and the change complexity of the part;

[0045] When nodes A and B are both sources of changes, if v i When it is a coupling node, v i Adaptive change propagation impact intensity I ( A ⊕ B ) vi for

[0046] ,

[0047] Where, N 1vi For nodes v i Direct propagation affects the number of other coupled nodes, N 2vi For nodes v i Direct propagation affects the number of other uncoupled nodes, p i,k node v i right v k Adaptive change propagation probability, S Sk When both nodes A and B are the source of changes v k The adaptive change complexity index of the corresponding parts;

[0048] When the node v i To change the termination node, I ( A ⊕ B ) vi =0.

[0049] For multi-source changes where three or more nodes are simultaneously the source of change, the direct propagation influence intensity between the coupled nodes is I ( A ⊕ B ) vi，j The coupling paths of the corresponding multiple node change sources should be considered, and the correlation of the structural change attribute changes of the coupled nodes also needs to be analyzed according to the corresponding multiple node change sources.

[0050] Compared with the prior art, the technical solution of the present invention, a method for calculating the propagation impact intensity of multi-source adaptive changes of products based on path coupling, has the following beneficial effects:

[0051] (1) According to the change properties of different change sources, the structural change property correlation of the parts corresponding to the nodes on the coupling path is determined, and the direct propagation influence intensity of the front-end node of the coupling path on the back-end node during multi-source changes is calculated. This is consistent with the actual multi-source design changes of the product and quantifies the influence of the coupling effect of the propagation path.

[0052] (2) The correlation of the coupling path, the direct propagation influence strength of the coupling node, and the change complexity of the part are used to calculate the propagation influence strength of the multi-source adaptive change of the part. This can effectively reflect the coupling influence of the multi-source adaptive change propagation path and the calculation is simple and effective. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is the adaptive change propagation network when part 1 is the sole change source;

[0054] Figure 2 It is the adaptive change propagation network when part 9 is the sole change source;

[0055] Figure 3 It is the adaptive change propagation network when parts 1 and 9 are both change sources. DETAILED DESCRIPTION

[0056] This embodiment provides a method for calculating the propagation impact intensity of a product's multi-source adaptive change based on path coupling, including the following steps:

[0057] Step 1: Based on the propagation influence relationship between product parts, a product adaptive change propagation network is constructed, the nodes and paths of the common propagation influence of multi-source adaptive changes are analyzed, and the coupling nodes and coupling paths of the multi-source adaptive change propagation are identified;

[0058] Step 2: Analyze the change propagation properties of the nodes on the coupling paths for the coupling nodes and coupling paths determined in Step 1, and determine the complete negative correlation, irrelevance, and complete positive correlation of the structural change properties of the corresponding parts caused by the coupling nodes being affected by different change sources.

[0059] Step 3: for the coupling nodes and coupling paths determined in step 1, analyze the change propagation properties of the nodes on the coupling paths, and calculate the correlation between the coupling paths when the coupling nodes are affected by different change sources.

[0060] Step 4: For the complete negative correlation, irrelevant correlation, and complete positive correlation of the structural change attribute changes of the coupling nodes determined in Step 2, calculate the direct propagation influence intensity of the front-end node of the coupling path on the back-end node under different change sources;

[0061] Step 5: Based on the correlation between the coupling paths determined in step 3, calculate the direct propagation impact intensity of the front-end node of the coupling path on the back-end node under different change sources;

[0062] Step 6: Calculate the multi-source adaptive change propagation impact intensity of the parts corresponding to the uncoupled nodes based on the correlation of the coupling paths, the direct propagation impact intensity of the coupled nodes, and the change complexity of the parts;

[0063] Step 7: Calculate the multi-source adaptive change propagation impact intensity of the part corresponding to the coupling node based on the correlation of the coupling path, the direct propagation impact intensity of the coupling node, and the change complexity of the part.

[0064] The following uses a certain model of automobile tailgate as an application example of a method for calculating the impact intensity of multi-source adaptive change propagation of a product based on path coupling in this embodiment. The parts list of the automobile tailgate is shown in the following table.

[0065]

[0066] The specific implementation process is as follows:

[0067] A tailgate adaptive change propagation network is constructed, with tailgate components as nodes, dependencies between components as edges, and adaptive change propagation probabilities as edge weights.

[0068] When the node v 1 When used as a single change source, the adaptive change propagation network is as follows Figure 1 shown; node v Changes to 1 are not propagated to the node v 9. v 10 、 v 11 ;according to Figure 1 Adaptively change the propagation network and calculate the number of nodes directly affected by propagation and the number of nodes indirectly affected by propagation, as shown in the following table;

[0069]

[0070] According to the structural complexity of the automobile loading and unloading tailgate parts, the adaptive change time and change cost of the parts are analyzed, and the adaptive change complexity and adaptive change complexity index of the parts are calculated as shown in the following table;

[0071]

[0072] According to the adaptability between parts, the propagation probability, the number of nodes directly propagated to other nodes, the number of nodes indirectly propagated to other nodes, the structural change complexity index of parts, and the weight w 1 andw 2 are set to 0.5, and the calculation v The adaptive change propagation strength of the parts when 1 is the sole change source is shown in the following table;

[0073]

[0074] When the node v 1 as a separate change source, v 1 has the greatest change propagation impact, meaning it has the greatest influence, followed by v 2. v 5 and v 8. Node v 6. v 7. v 12 The change propagation impact strength is 0 because they are adaptive change termination nodes;

[0075] When the node v 9 When used as a single source of change, adaptive change propagation directed weighted network such as Figure 2 shown; node v Changes to 9 are not propagated to the node v 1. v 2. v 8. v 12 ;according to Figure 2 Adaptive change propagation directed weighted network, calculate the number of nodes directly affected by the propagation of other nodes and the number of nodes indirectly affected by the propagation of other nodes, as shown in the following table;

[0076]

[0077] According to the adaptability between parts, the propagation probability, the number of nodes directly propagated to other nodes, the number of nodes indirectly propagated to other nodes, the structural change complexity index of parts, and the weight w 1 and w 2 are set to 0.5, and the calculation v The adaptive change propagation strength of the parts when 9 is the sole change source is shown in the following table;

[0078]

[0079] When the node v 9 When used as a separate change source, v 9 has the strongest change propagation impact, meaning it has the greatest influence, followed by v 11 、 v 5 and v 3. Node v 6. v 7.v 10 The change propagation impact strength of is 0, because they are adaptive change termination nodes;

[0080] When the node v 1 and v 9 When acting as a change source, the adaptive change propagation network is as follows Figure 3 shown; node v 3. v 4. v 5. v 6 and v 7 points v 1 and v 9's combined impact; Figure 3 Adaptive change propagation directed weighted network, calculate the number of nodes directly affected by the propagation of other nodes and the number of nodes indirectly affected by the propagation of other nodes, as shown in the following table;

[0081]

[0082] According to the adaptability between parts, the propagation probability, the number of nodes directly propagated to other nodes, the number of nodes indirectly propagated to other nodes, the structural change complexity index of parts, and the weight w 1 and w 2 are set to 0.5, and the calculation v 1 and v 9 When both are change sources, the adaptive change propagation strength of the parts is shown in the following table;

[0083]

[0084] When the node v 1 and v 9 When used as a change source, v 9 has the strongest change propagation impact, meaning it has the greatest influence, followed by v 1. v 2 and v 11 .node v 6. v 6. v 10 、 v 12 The change propagation impact strength of is 0, because they are adaptive change termination nodes;

[0085] It can be seen that when different parts of the automobile tailgate are used as change sources, their propagation paths and ranges are also different, and the propagation impact intensity of the node's adaptive change is also different.

Claims

1. A method for calculating the propagation impact intensity of multi-source adaptive changes in products based on path coupling, characterized in that: The method comprises the following steps: Step 1: Based on the propagation influence relationship between product parts, construct a product adaptive change propagation network, analyze the nodes and paths of the common propagation influence of multi-source adaptive changes, and identify the coupling nodes and coupling paths of multi-source adaptive change propagation; Step 2: For the coupling nodes and coupling paths determined in step 1, analyze the change propagation properties of the nodes on the coupling paths and determine the complete negative correlation, irrelevant correlation, and complete positive correlation of the structural change properties of the corresponding parts caused by the coupling nodes being affected by different change sources. Step 3: For the coupling nodes and coupling paths determined in step 1, analyze the change propagation properties of the nodes on the coupling paths and calculate the correlation between the coupling paths when the coupling nodes are affected by different change sources. Step 4: For the completely negative correlation, irrelevant correlation, and completely positive correlation of the structural change attribute changes of the coupling nodes determined in step 2, calculate the direct propagation influence intensity of the front-end node of the coupling path on the back-end node under different change sources; Step 5: Based on the correlation between the coupling paths determined in step 3, calculate the direct propagation impact intensity of the front-end node of the coupling path on the back-end node under different change sources; Step 6: Calculate the multi-source adaptive change propagation impact intensity of the parts corresponding to the uncoupled nodes based on the correlation of the coupling paths, the direct propagation impact intensity of the coupled nodes, and the change complexity of the parts. When nodes A and B are both sources of changes, if v i is an uncoupled node, then v i Adaptive change propagation impact intensity I ( A ⊕ B ) vi for ， Where, N vi For nodes v i Direct propagation affects the number of other nodes, p i,j For nodes v i right v j Adaptive change propagation probability, R vi node v i The number of other nodes affected by indirect propagation, S Sj When both nodes A and B are the source of changes v j The adaptive change complexity index of the corresponding parts, N To adaptively change the total number of nodes in the propagation network, w 1 and w 2 is the weight, w 1+ w 2=1; Step 7: Calculate the multi-source adaptive change propagation impact intensity of the parts corresponding to the coupling nodes based on the correlation of the coupling paths, the direct propagation impact intensity of the coupling nodes, and the change complexity of the parts. When nodes A and B are both sources of changes, if v i When it is a coupling node, v i Adaptive change propagation impact intensity I ( A ⊕ B ) vi for ， Where, N 1vi For nodes v i Direct propagation affects the number of other coupled nodes, N 2vi For nodes v i Direct propagation affects the number of other uncoupled nodes, p i,k node v i right v k Adaptive change propagation probability, S Sk When both nodes A and B are the source of changes v k The adaptive change complexity index of the corresponding part.

2. The method for calculating the impact intensity of multi-source adaptive change propagation of products based on path coupling according to claim 1 is characterized in that: In step 1, Nodes that are affected by different change sources at the same time are called coupled nodes. When two nodes A and B are both change sources, the coupled node set is represented as V A×B = V A ∩ V B ,in V A and V B They represent the node sets affected by the propagation when nodes A and B are independent change sources. The direct propagation path between coupled nodes is called a coupling path. When the direct propagation path between two nodes is generated by the joint propagation of two or more change sources, it is called path coupling. If the coupled nodes v i Direct propagation affects coupling nodes v j , then the coupling path is expressed as Path( A ⊕ B ) vi→vj ,in v i 、 v j ∈ V A×B .

3. The method for calculating the impact intensity of multi-source adaptive change propagation of products based on path coupling according to claim 1 is characterized in that: In step 2, According to the changed attributes of the change source, determine the part structure change attributes corresponding to each node on the multi-source adaptive change propagation path, and judge the correlation of the changes in the part structure change attributes corresponding to the coupling nodes; When node A is the change source, the coupling path Path( A ⊕ B ) vi→vj Previous node v j When the structural attribute changes with node B as the change source, Path( A ⊕ B ) vi→vj Previous node v j If there is no correlation between the structural property changes of A ⊕ B ) vi→vj Not relevant, remember R ( A ⊕ B ) i，j =0; When the coupling path Path( A ⊕ B ) vi→vj Previous node v j When nodes A and B are both sources of change, the same structural attribute is affected by the propagation and the change trend is the same, then the coupling paths are considered to be completely positively correlated, and the value is recorded as R ( A ⊕ B ) i，j =1; When the coupling path Path( A ⊕ B ) vi→vj Previous node v j When nodes A and B are both sources of change, the same structural attribute is affected by the propagation and the change trends are opposite, then the coupling path is considered to be completely negatively correlated, and the value is recorded as R ( A ⊕ B ) i，j = -1.

4. The method for calculating the impact intensity of multi-source adaptive change propagation of products based on path coupling according to claim 1 is characterized in that: In step 3, The structural property changes of the parts corresponding to the nodes are regarded as vectors, and the vector cosine value is used to measure the correlation between the two vectors. Assuming that the coupling path Path ( A ⊕ B ) vi→vj Previous node v j When node A is the source of the change, the structural attribute change affected by the propagation is X, and the node v j When node B is the source of the change, the structural attribute change affected by the propagation is Y, and the correlation between the two is ， Where |X| and |Y| denote the modulo of X and Y, respectively, and X·Y denotes the dot product of X and Y.

5. The method for calculating the impact intensity of multi-source adaptive change propagation of products based on path coupling according to claim 1 is characterized in that: In step 4, For the coupling path Path( A ⊕ B ) vi→vj , v i is the front-end node of the propagation path, v j is the back-end node of the propagation path, I ( A ) vi,j When node A is the source of changes v i right v j The direct transmission impact intensity, I ( B ) vi,j When Node B is the source of changes v i right v j The direct propagation influence strength of nodes A and B is the source of the change. v i right v j The direct transmission impact intensity is recorded as I ( A ⊕ B ) vi，j ; When node A is a single source, the direct transmission impact intensity between nodes is calculated as follows: I ( A ) vi,j = p i,j × S ( A ) Sj ， Where, p i,j For nodes v i right v j Adaptive change propagation probability, S ( A ) Sj When node A is the source of changes v j The adaptive change complexity index of the corresponding parts; S ( A ) Sj = S ( A ) Cj / S ( A ) Cmax ， ， Where, C ( A ) vj When node A is the source of changes v j The cost of changing the corresponding parts, T ( A ) vj For nodes v j Corresponding parts change time, C ( A ) P is the sum of the cost of changing all parts of the product, T ( A ) P is the sum of the change times of all parts of the product, S ( A ) Cj When node A is the source of changes v j The complexity of adaptive changes of corresponding parts, S ( A ) Cmax is the maximum adaptive change complexity of all parts when node A is the change source; The same method is used to calculate the direct transmission impact intensity between nodes when node B is a single source change. I ( B ) vi,j ; Then when R ( A ⊕ B ) i，j ={-1, 0, 1}, I ( A ⊕ B ) vi，j Expressed as 。 6. The method for calculating the impact intensity of multi-source adaptive change propagation of products based on path coupling according to claim 1 is characterized in that: In step 5, when R ( A ⊕ B ) i，j ≠{-1, 0, 1}, it means that nodes A and B are both change sources when the coupling path Path ( A ⊕ B ) vi→vj With partial correlation, the nodes v i right v j The direct transmission impact intensity is calculated as follows; when R ( A ⊕ B ) i，j ∈(0,1), ， when R ( A ⊕ B ) i，j ∈(-1,0), 。

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