| Military vehicle protection can be divided into shape protection and camouflage protection.The current protection design process involves designing and reverse engineering protective armor for the vehicle body or chassis of standard vehicles based on the penetration characteristics of different ammunition,followed by the use of complementary camouflage equipment.However,the traditional protection design process is cumbersome,limited in its targeting,and relies on the installation of additional components for camouflage equipment,resulting in long development cycles,slow update rates,and poor vehicle integration.This paper proposes the integration of shape theory and protection design from an aesthetic perspective to achieve protection through the relationship of forms.It establishes methods for multi-feature biomimetic shape design and digital camouflage design to address the issues of complexity,poor integration,and environmental limitations in traditional protection design processes.Firstly,for shape protection,a multi-feature biomimetic design approach is adopted.For functional structure biomimetic components,semantic keywords and derived words corresponding to the biomimetic domain components are obtained by establishing an initial "Four-Box" model of engineering problems.Then,an improved C-K theory model is used to establish a semantic clustering system for biological prototypes to match biomimetic domain components with source domain organisms,resulting in biomimetic fusion and innovative solutions for functional structure biomimetic components.For shape biomimetic components,source domain organisms are matched with biomimetic domain components using the shape context method and similarity analysis,followed by biomimetic fusion using image deformation to generate innovative solutions for shape biomimetic components.The biomimetic intrinsic order of each biomimetic component is determined,and layout is conducted for the two categories of optimized biomimetic components using relevant criteria to obtain innovative solutions for shape protection.Next,for camouflage protection,a digital camouflage design approach is adopted.The main colors of the target background image are extracted using the K-means clustering method,and the background image is segmented based on the determined minimum camouflage unit size using an empirical formula.Then,the clustered main colors are filled according to the chromaticity and brightness values of the background image to generate digital camouflage,resulting in innovative solutions for camouflage protection.Afterwards,separate protection design evaluations are conducted for the shape protection components and camouflage protection camouflage.For shape protection design,the evaluation is performed using the Analytic Hierarchy Process(AHP)and a shape context similarity detection system for the evaluation of shape biomimetic and functional structure biomimetic components.For camouflage protection design,static evaluation is used to verify the superiority of digital camouflage,followed by dynamic evaluation to assess the dynamic camouflage effect achieved through biomimetic methods.This completes the comprehensive evaluation.Finally,using the Humvee M1114 as an example,the optimized design process is demonstrated through case studies and systematic operations based on the corresponding theory.The results demonstrate significant optimization effects in shape protection and camouflage protection for the Humvee M1114.This paper establishes a design process system for military vehicle protection based on shape theory,addressing the issues of complexity and poor integration in traditional protection design processes.It provides a new design approach for military vehicle protection design. |