The invention discloses an
artificial intelligence-based printer
energy consumption optimization
control system and method, and relates to the technical field of printer
energy consumption optimization control, and the
artificial intelligence-based printer
energy consumption optimization control method specifically comprises the following steps: 1, collecting multi-
source data of a
laser printer, the method comprises the steps of 1, acquiring
original data, transmitting the acquired
original data to a cloud AI analysis platform or a local edge calculation program for
processing, 2, collecting historical data, quantifying the relevance between the comprehensive environmental
comfort index and the
power consumption of the
laser printer, and defining different task
processing time periods, and 3, predicting the historical data by using an LSTM prediction model, and according to a prediction result, calculating the
power consumption of the
laser printer according to the prediction result. According to the scheme, through multi-
source data fusion and AI prediction, a weighted comprehensive environment
comfort index is provided, multi-parameter cooperative influence is quantized, the future task probability and the environment trend are predicted based on historical data, and the working mode is dynamically adjusted to achieve balance of energy consumption and efficiency.