State monitoring method, device and equipment for tobacco production line detection device

The invention relates to an artificial intelligence technology, and discloses a state monitoring method for a tobacco production line detection device, which comprises the following steps: acquiring standard system data of the tobacco production line detection device, performing semantic enhancement processing on the standard system data to obtain standard system characteristics of the tobacco production line detection device, generating a standard system association table of the standard system features; adjusting and optimizing a preset state detection model by using the standard system association table to obtain an optimized state detection model, and judging the working state of the tobacco production line detection device and positioning a fault module by using the optimized state detection model. In addition, the invention also relates to a block chain technology, and the data list can be stored in the nodes of the block chain. The invention further provides a state monitoring device and equipment for