Disruptive innovation is an important path for enterprises to achieve leapfrog catch-up. In view of the lack of current identification of subversive innovation opportunities, the work aims to propose a design-driven early identification method of disruptive innovation based on the collaborative optimization of knowledge gene and in-depth learning. Combing the design-driven disruptive innovation process from the perspective of knowledge, and aiming at the fuzzy front-end stage of innovation and based on the concept of "product knowledge gene", firstly, the big data text analysis method was used to gain insight into the future needs of users and reconstruct the meaning of the product. Secondly, the semantic analysis of "subject-behavior-object" structure and "technology-relation-technology" structure of patent data in related fields was carried out, and the product knowledge base was established. On this basis, the technical scheme of genetic engineering thinking mode reorganization was compared to seek disruptive innovation of product. Verifying the feasibility and effectiveness of the research method with the future air conditioner as the design research object can help enterprises to identify disruptive innovative design opportunities, and has practical guiding value for optimizing resource allocation and planning and design strategy.