The invention discloses a production
management system and method based on an intelligent
production line, which are suitable for a tobacco process
production line, and the method comprises the following steps: collecting
genotype information and physicochemical indexes of tobacco raw materials; based on a
small sample expansion
algorithm and a neural
network model of transfer learning, performing process matching analysis on the
genotype information to generate an initial
processing parameter set; in the
cut tobacco making process, the
Maillard reaction process is scanned and monitored in real time through a transmission-type THz-TDS
probe array, the terahertz spectrum characteristic
peak intensity is obtained,
microwave auxiliary parameters are dynamically adjusted according to the characteristic peak, and a reaction optimization
instruction set is generated; performing
aroma constraint
verification on the initial
processing parameter set and the reaction optimization
instruction set, and outputting a feasible process scheme; and executing the feasible process scheme, collecting finished product
quality information, and updating the neural
network model. According to the method, dynamic optimization and accurate regulation and control of the tobacco primary
processing process are achieved, and the product quality stability and
aroma type consistency are effectively improved.