System dynamics modeling: The experimental data can be used to establish a system dynamics model, which can describe the interaction and influence between the components in the biological regeneration life support system, such as the interaction between organisms and the environment, the growth and reproduction of organisms, etc.
Bio-physiological parameter modeling: A bio-physiological parameter model can be established by using experimental data, which can describe biological physiological characteristics and behaviors, such as heart rate, respiration and body temperature. These parameters can be used to simulate the survival and reproduction process of organisms in space.
Ecosystem modeling: The experimental data can be used to establish an ecosystem model, which can describe the interaction and influence between different populations in a biological community, such as food chain, competition, life and so on. Ecosystem modeling can help researchers understand the relationship and evolution process between different biological communities in biological regeneration life support system.
Environmental control modeling: An environmental control model can be established by using experimental data, which can describe how to control environmental factors in the biological regeneration life support system, such as temperature, humidity and oxygen concentration. , to maintain the survival and reproduction of organisms.
Data analysis and simulation: experimental data can also be used to analyze and simulate the data in the biological regenerative life support system, such as using data mining and machine learning technology to analyze the relationship between biological physiological parameters and environmental parameters, and using simulation technology to predict the operation effect of the biological regenerative life support system in space.