The invention provides a personnel comprehensive ability quantitative evaluation method,
system and device for a
new energy station and a medium, and belongs to the technical field of
new energy stations. Four types of first-level indexes of duty performance, technology, learning and reward and punishment and twelve second-level indexes are defined; connecting multiple systems to acquire data and performing structured storage; carrying out abnormal value
elimination, missing value filling and Min-Max
standardization preprocessing; extracting a core feature with a weight greater than or equal to 0.05 by adopting a
random forest; determining a first-level index
weight coefficient through SVM (
Support Vector Machine) model training; calculating a comprehensive
score and outputting a quantitative
score, a
radar map and a structured portrait; and finally, a result is fed back to a
management system and is applied to work order assignment, training matching and other scenes. Scientific evaluation of personnel ability from subjective qualitative to objective quantitative is realized, the weight is dynamically optimized through
machine learning, the method adapts to operation and maintenance characteristics of a
new energy station, and the evaluation accuracy is improved; the
visualization result visually presents the
personnel state, and the operation and maintenance efficiency and safety of the
station are effectively improved.