1, model preparation, in this process, it is necessary to go deep into the actual investigation and study, collect and master the information and materials related to the research problem, consult relevant literature, discuss with relevant personnel familiar with the situation, find out the characteristics of the actual problem, collect data more reasonably according to the purpose of solving the problem, and initially determine the type of the model.

2. This model assumes that, generally speaking, practical problems in the real world are often more complex and involve a wide range. If such a problem is not abstracted and simplified, people cannot accurately grasp its essential attributes, and it is difficult to turn it into a mathematical problem. Even if it can be transformed into a mathematical problem, it is difficult to solve it.

3. Modeling: On the basis of model assumptions, firstly, distinguish which are constants, which are variables, which are known quantities and which are unknown quantities; Then find out the position, function and relationship of various quantities, describe the relationship between variables with appropriate mathematical tools, and establish the corresponding mathematical structure, thus constructing the mathematical model of the studied problem.

4. Model solving: After building the mathematical model, according to the known conditions and data, design or adopt mathematical methods and algorithms to solve the model, and analyze the characteristics and structural features of the model, mainly including various traditional and modern mathematical methods such as solving equations, drawing graphics, logical operation and numerical calculation.