Temperature is a vital physical quantity for industrial and agricultural production, scientific research and other required measurement and control in daily life. To measure precisely and control the temperature efficiently play an important role in the production of high quality, high yield, low consumption, and safety. The commonly applied traditional instrument in current temperature measurement and control system is function fixedness, which can not meet the requirements of the modern detection system.
With the fast advancement of science and technology and rapid development of computer technologies, the virtual instrument has broken the situation of the traditional one’s function fixedness, which has gradually dominated in test instrument because of its merits like multiple functions, simple structure, flexible transformation, speedy processing and good extendibility. Meanwhile, the traditional PID control is hard to reach rather high control accuracy. In recent years, to apply the intelligent control containing fuzzy control, nerve net and genetic algorithm into the temperature-control system has expanded rapidly. In the meantime, the dynamic temperature control system with superior performance can meet the needs of teaching experiment such as automata technology and SCM, comprehensive training and curriculum design in the lab in the university, reducing the cost of use and maintenance.