The invention relates to a Turing model-based augment reality assembly environment system hierarchical colored petri nets (HCPN) modeling method. By taking a Turing with a model of calculating 'X+1' for reference, the Turing can record the current state X, acquires an up-to-date command after input is given, provides the up-to-date state output, and applies the state output to establishment of a hierarchical colored Petri net model to ensure that the model can remember the current internal state and combines the input to make correct judgment of the state at the next moment. Colored petri nets (CPN) Tools are adopted to establish a model of the augment reality assembly environment system, wherein a network is layered; and a virtual hand sub-network, an event management sub-network, an assembly sub-network and the like are refined, input and output of each sub-network are utilized to realize event driving, and the relations among various factors in the network are determined, so that the augment reality assembly environment system has logical inference property, can effectively process massive random discrete events, is convenient to express the dynamic establishing process of the assembly model, and has the capability of sensing the user intention.