The invention belongs to the technical field of
artificial intelligence application, and particularly discloses a full-stack autonomous controllable
artificial intelligence reasoning method and terminal based on a
Feiteng processor, and the method comprises the following steps: A, initializing hardware; b,
pruning and compressing the model; c, converting and optimizing the model; d, compiling and deploying the model; e, data preprocessing; f, performing reasoning execution; and step G, post-
processing the reasoning result. The method has the beneficial effects that optimization is carried out aiming at
intelligent management requirements of
new energy power generation and traditional power generation, the YOLOv5
deep learning algorithm is integrated, and optimization
processing such as quantification,
pruning and weight compression is carried out on the YOLOv5
deep learning algorithm, so that the reasoning precision is remarkably improved, and the
system delay and
power consumption are effectively reduced. The
system has the functions of real-time inspection and
safety control, can efficiently monitor the power generation equipment, remarkably improves the intelligent level of operation, reduces unpredictable factors of manual operation, and improves the production efficiency and safety.