Firstly, the effect of the mechanical centrifugal purifier rotation speed on its own resistance in the case of using a mechanical centrifugal lampblack purifier alone was studied. Secondly, the effect of the mechanical centrifugal purifier rotation speed on the cleaning cycle and the soot purification efficiency of the electrostatic fume purifier was studied under the combined use of the mechanical centrifugal purifier and the electrostatic fume purifier. Finally, in order to optimize the equipment, we will extend the metal mesh turntable coating of the mechanical centrifugal purifier to extend the cleaning cycle of the mechanical centrifugal purifier, and study the friction coefficient of the mechanical centrifugal purifier after coating on the self⁃purification efficiency and the purification efficiency of the whole system influences.The results show that the use of mechanical centrifugal purifier can prolong the cleaning cycle of electrostatic fume purifier. The use of electrostatic fume purifier can improve the purification efficiency of mechanical centrifugal purifier. The combination of a mechanical centrifugal purifier and an electrostatic fume purifier has the best effect on the purification of the fume.

Aimed at the existing steam injection boiler with wet saturated steam, the steam overheating and tube-burst pre-warning device is developed. The judgment basis and algorithm model of steam overheating monitoring are given, and the composition of the design device, component connection and man-machine interface are optimized. According to the physical properties of water and steam, the steam state is divided into four operation conditions: overheating alarm zone, overheating warning zone, operating zone and safety zone. Based on this, the visual coordinate diagram and the overheating monitoring histogram of the steam operating condition monitoring are designed in the man-machine interface. The steam overheating incidents are classified and filtered to make the device more reliable for steam overheating and early warning. Through field application data analysis, the effectiveness of the device is verified.