The simulation experiment has no necessary equipment in the ordinary sense, but uses simulation software to simulate the real effect on the computer. It is a very feasible method to simulate the experimental conditions with software. In fact, many simulation experiment softwares have been developed long ago and have been applied in many universities, national key high schools and junior high schools.
The simulation software connects the theoretical conditions with the experimental process through the graphical interface, and at the same time, it uses certain programming to achieve the effect of simulating reality. It mainly includes physical simulation experiment, chemical simulation experiment and biological simulation experiment.
Simulation experiment application:
1, the simulation experiments in 1950s and 1960s were mainly used in engineering and technical fields such as aviation, aerospace, electric power, chemical industry and other industrial process control.
2. In the aviation industry, the design and development cycle of large passenger aircraft has been shortened by 20% by using simulation experiment technology. Using flight simulator to train pilots on the ground not only saves a lot of fuel and money (its cost is only one tenth of that of air flight training), but also is not limited by meteorological conditions and venues.
3. Some faults that can't be set in air training can be set on the flight simulator to cultivate the pilot's ability to deal with faults. The unique security of training simulator is also an important advantage of simulation technology. In the aerospace field, using simulation experiments instead of live-fire tests can reduce the number of live-fire tests by 80%.
4. In the power industry, the simulation experiment system is used for debugging, maintenance and troubleshooting of nuclear power plants, and the cost of building the simulation system can be recovered in one year. Modern simulation technology is not only used in traditional engineering fields, but also widely used in social, economic, biological and other fields, such as traffic control, urban planning, resource utilization, environmental pollution prevention, production management, market prediction, world economic analysis and prediction, population control and so on.