The evolutionary tree is the inheritance and development of the classic TRIZ training method theory, and is a product further developed based on the evolutionary rules of classic TRIZ. The use of evolutionary trees can help us analyze the past and present of technical systems, predict the future of technical systems, plan the patent layout of a certain technology or product in advance, formulate patent strategies that are in line with corporate development, and help companies seize the market technically. Seize the opportunity and become the industry leader.
Before a new product comes out, it needs a lot of work in the laboratory and in front of the test bench to generate new ideas and gain new knowledge. These are the basis for developing and producing more complete new products. . When doing this work, a large amount of patent and technical information needs to be collected and processed, and existing solutions for the product on the market need to be studied, so that competitive products can be developed. In order to achieve this goal, a classified information structure is needed, that is to say, a picture is needed. This picture can clearly and conveniently reflect all the existing solution forms of the product. The evolutionary tree has this function.
After structurally integrating patent information and technical information into an evolutionary tree, detailed predictions can be made about the development of the products to be developed by the company, which enables the company to take well-founded measures to develop. cause. The use of evolutionary trees can better avoid competitors' patents and protect one's own technical solutions, including establishing a so-called patent umbrella.
Using the patent tree can also effectively see the whole picture of the development of the technical system, all its main solution forms, including the most unique and promising solution forms. This is particularly important during strategic planning of production, innovation and commerce.