The digital twin concept completes the mapping and interaction between physical space and digital space, showing great potential for development in the industrial field. With considering the low detection efficiency of natural gas dehydration performance parameters and the inability to optimize gas station process parameters online, this paper applies the digital twin concept in the chemical industry to establish an overall framework of the digital twin system for triethylene glycol(TEG) dehydration. On one hand, the geometric model of the twin system is constructed by integrating physical devices. On the other hand, the flow model dehydration system technology is established based on the real-time driving of physical data. Finally, the twin model of dehydration is established by designing virtual-real mapping model, completing the mapping of physical space and digital space, which enables the parallel operation of the physical device and the virtual device. Through the proposed digital twin system, real-time prediction of natural gas water dew point and other dehydration performance parameters can be achieved. To achieve the goal of low power consumption, the optimization of dehydration process parameters is realized by combining optimization algorithms with the twin model, thereby improving economic efficiency.