Temperature for industrial control is a very important parameter, the accuracy of the temperature will directly affect the quality of industrial products. However, the temperature system has the problems of large inertia and lag, and it is difficult to establish accurate mathematical model. In this paper, the diffusion pump to the heating process of oil heating as the optimization objectives. In this paper has introduced the fuzzy PID controller and particle swarm optimization(PSO) PID parameters algorithm principle and operation mode, and use the Simulink simulation function of MATLAB in the three methods are simulated, and the simulation waveforms are analyzed. The above two controllers are switched in the process of temperature control, and the superiority of this method is verified by simulation.

The conventional method of achieving PID by FPGA consumes a lot of multiplier, adder and memory. FPGA hardware resources can not be reasonably used, and system holds high energy consumption. Research on using direct DA ( DA-Ⅰ) and improved DA ( DA-Ⅱ) algorithm by FPGA to realize the digital PID controller. Compared with the conventional method, DA-Ⅰ algorithm saves many hardware resources；because of using adder, LUT unit and time delay module etc, DA-Ⅱ algorithm can reduce the unit modules further and reduce energy consumption by the application of two stage pipeline technology. Through the comparison of PID controller by the DA-Ⅰ and DA-Ⅱ algorithm, discussed the improved PID controller performance about the hardware resource, processing speed, complexity and energy consumption etc.

Alarm verification is a new test item. Verification regulations and methods and means are necessary to be improved and perfected. At present, the works of the ventilation and reading during the detection are completed manually. Not only does it need a large number of repetitive works, and is time-consuming and laborious, but also is difficult to guarantee the accuracy and reliability of results. If you will test the stability of the instrument, then more time will be needed. So it is necessary to establish an automated detection device to accomplish the verification and calibration of the gas detector in accordance with the requirements of verification procedures. To meet these needs, a digital detection system with the alarming functional for toxic and harmful gas was designed. The system included three parts of multi-channel gas collection hardware system, mixed gas concentration identification system and detection and control system. By using the measuring technology, electronic technology and computer technology, detection efficiency, reliability and accuracy of test are all improved, and human error is also reduced. The verification regulation is further promoted through the improved detection means.