Lithium carbonate production parameter control method and system based on artificial intelligence

The invention relates to the technical field of production parameter control, in particular to a lithium carbonate production parameter control method and system based on artificial intelligence, and the method comprises the steps: building a hidden Markov model with a production parameter as an observable state and a product quality value as an implicit state, the parameters of the hidden Markov model comprising an implicit state transition probability matrix; and calculating the qualification probability of the preset production parameter sequence by using a forward algorithm, taking the maximum value of the qualification probability as a dynamic production parameter sequence, and adjusting the dynamic production parameter sequence in real time. According to the method, the dynamic production parameter sequence is adjusted in real time based on the first qualification probability and the second qualification probability, and then production is performed according to the adjusted dynamic production parameter