Research On The Mechanism Of The Generation Of Extreme Parameter Dynamic Reasoning Disruptive Innovation

With the development and growth of domestic enterprises year by year,many enterprises are undergoing a difficult transformation and upgrade process from resource-based enterprises to innovative enterprises.Enterprises urgently need disruptive innovation technologies with features such as energy efficiency,high reliability,high cost-performance ratio and extreme functions.When certain parameters of the system tend to the limit state,they can often satisfy specific market needs.However,while generating disruptive innovation opportunities,they may lead to the emergence of system singularities that satisfy the time-varying,strong coupling,non-linear and opening characteristics of complex systems.This thesis determines the extreme parameters and makes dynamic reasoning to form a mechanism for generating disruptive innovation ideas.The main research work includes the following:1.The literature review involves but not limit to aspects about the theory of disruptive innovation,the conceptual design of complex systems,and the application of qualitative reasoning in conceptual design,refining the needs of disruptive innovation technologies with Chinese enterprise characteristics.2.Process model for extreme parameter acquisition of complex systems oriented to disruptive innovation.The thesis firstly research on the expression of system performance needs and function correspondence for disruptive innovation,and build a mapping model of "needs-functions-parameters" based on AD theory,then establish the relationship between performance needs and design parameters.Subsequently,the FQFD method is used to achieve the importance ordering of the design parameters to determine the core parameters of the system.This method introduces triangular fuzzy numbers according to the traditional QFD house of quality to characterize the uncertainty of the performance needs of complex systems.Eventually,the core parameters are pushed to the extreme parameters in the direction of their potential needs,and preliminary ideations are generated through analysis of the ideal solution of the system.3.The generation and evaluation of disruptive ideations for dynamic reasoning of extreme parameters.Firstly,parameterize the substance-field model corresponding to each functional element’s original understanding and generate parameter logic diagrams,and then use the π theorem of dimensional analysis to determine the power of dimensionless parameter equations.Moreover,qualitatively infer extreme parameters in parameter logic diagrams.Clarify the impact of this dynamic process on related parameters and use TRIZ theory to solve the problem to produce a possible disruptive ideation.This thesis proposed a quantitative evaluation method of possible ideations based on the characteristics of disruptive innovation products.This method uses 15 groups of disruptive innovations as sample data,then using Matlab programming and multiple logistic regression analysis algorithms to form a disruptive ideation evaluation process model.4.Innovative design of parking lock and its management system.Taking the parking problem that needs to be solved urgently in the society as an example,the extreme parameters of the system are determined by applying the above theoretical research results.Furthermore,the singular phenomena of the system are analyzed in the parameter logic diagram by dynamic reasoning,and then the problem solving resulted in multiple disruptive innovations ideations.Afterwards,carried out a quantitative evaluation of these innovative ideations.Finally,selected the energy-saving parking lock and its management system as the plan for the subsequent prototype development.This thesis completed the detailed design of the structure,hardware and software of the sharable parking management system based on the energy-saving parking lock,and the validity and feasibility of the design method and process model were verified.