The invention discloses an
electric power field
operation safety risk prediction method and
system based on
artificial intelligence, relates to the technical field of
artificial intelligence, is used for improving the secondary damage problem of maintenance personnel and static accumulation to power transformation equipment when a power transformation
system is maintained, and comprises the steps of scanning the
whole body of the maintenance personnel, determining the
whole body insulation degree of the maintenance personnel, and determining the
whole body insulation degree of the maintenance personnel. According to an
image identification technology, obtaining each
joint point of the body of the maintenance personnel and determining the
humidity of each
joint point of the maintenance personnel, using an
analytic hierarchy process to evaluate the personal risk of the maintenance personnel and obtaining an
evaluation result; the method comprises the following steps: carrying out power-on experiments on equipment of the power transformation
system, measuring electric leakage conditions of the equipment of the power transformation system, carrying out damp grading on the equipment according to the electric leakage conditions of the equipment, and setting alarm rules by integrating damp grading of the equipment of the power transformation system and personal
risk assessment results of maintenance personnel. The distance between each
joint point of the maintenance personnel and each device of the power transformation system is detected, and an instant alarm is given according to an alarm rule.