Research On Design-centric Complexity Synthesis And Evolution Mechanism Driven By Digital Twin Data

With the rapid development of science and technology,the functions of complex systems are increasingly rich and the relationship between functions is increasingly close,resulting in a higher systems complexity.Systems with the non-linearity,strong coupling,opening and time-varying characteristics of complexity(hereinafter referred to as complex system).When the function realization probability in the Design-Centric Complexity is used to evaluate the realization degree of system functional requirements,it is necessary to determine the Design-Centric Complexity of each functional element and synthesize them,and construction of reduce the Design-Centric Complexity path of the system through the evolution of the Design-Centric Complexity of each functional element.In the past,the synthesis and evolution of Design-Centric Complexity of the system was static,and the dynamic evolution of Design-Centric Complexity of each functional element was not considered.Based on this,this thesis introduces digital twin data into the process of complex system innovation design,and the complexity is reduced or eliminated through the evolution of the complexity.The main research work of this thesis includes the following:1.The expression model of complex system functional elements physical relations.Carry out functional decomposition according to the needs of system users to obtain functional elements,and build the system design matrix and determine the design scope corresponding to each functional element,determine the degree of functional coupling of the system,use the design matrix transformation and TRIZ tools to initially decouple the coupling function.This thesis according to the preliminary decoupling scheme,reorganize the system functional elements establish their corresponding substance-field models.Extract the physical parameters related to functional elements and construct the relational model of functional element expression through physical relationship.2.The synthetic paradigm of system Design-Centric Complexity.Firstly,the Design-Centric Complexity of each functional element is obtained according to the deviation of the output value of each functional element physical quantity parameter relative to its design requirement value.Moreover,combining with the functional element’s weight value,the Design-Centric Complexity of each functional element is synthesized.The Design-Centric Complexity and the function realization probability of the total function are determined according to the area of the common range of the system after synthesis,and the synthesis paradigm of system Design-Centric Complexity is formed.3.The evolution process of Design-Centric Complexity of digital twin data driven systems.Establish the correspondence between the system digital twin model and the functional element,and determine the Design-Centric Complexity of each functional element through the digital twin data.Construct the Design-Centric Complexity prediction model of the system by using artificial neural network and synthesize it dynamically.Conduct dynamic evolution according to the synthesis of the total function Design-Centric Complexity to achieve the purpose of reducing the system Design-Centric Complexity.4.A synthesis and evolutionary example of the Design-Centric Complexity of digital twin data driven the parking devices of bike-sharing.Taking the parking device of bike-sharing as an example,the Design-Centric Complexity is synthesized and evaluated by applying the above theoretical research results,and we obtain the innovative scheme of multi-layer bike-sharing parking device,which verifies the effectiveness of the research results.