The invention discloses an
Internet of Things industrial production process monitoring method based on a digital twin technology, and relates to the technical field of
Internet of Things industrial workshops. On the basis of
the Internet of Things industrial workshop, the method utilizes the virtual twin, the prediction twin and the twin projection of the digital twin technology; firstly, a digital space is created on an
Internet of Things cloud platform, one set of virtual entities used for representing industrial production equipment in
the Internet of Things industrial workshop in the processes of design, research, development, work and iteration is constructed in the digital space, and then, the predictive modeling and predictive twin operation behaviors of the
virtual entity are carried out in the digital space; secondly, insight is provided for the operation of industrial production equipment, and is projected to the
virtual entity through
the Internet of Things cloud platform torealize data interaction between the
virtual entity and the Internet of Things industrial workshop; and finally, through the analysis of
data mining and
machine learning technologies and an AI (
Artificial Intelligence)
algorithm, the intelligent monitoring of the production process of the Internet of Things industrial workshop is finished, according to monitoring information, the whole productionprocess of the Internet of Things industrial workshop is regulated for multiple times in order to obtain an optimal production process and an optimal yield output.