Artificial intelligence electrical line fire risk real-time early warning method and system

The invention discloses an artificial intelligence electrical line fire risk real-time early warning method and system, and relates to the technical field of fire risk early warning, and the method comprises the steps: carrying out the sign marking of abnormal and normal phenomena on all sub-sections segmented in an obtained first target line, performing independence analysis on the number, the positions and the position connection degree of the obtained negative subsection set, performing data analysis on a first reference comparison section and a second reference comparison section segmented in an obtained second target line corresponding to a first to-be-judged abnormal subsection and a second to-be-judged abnormal subsection respectively, and obtaining a first to-be-judged abnormal subsection according to an obtained level risk initial judgment result. The data in the negative subsection set and the negative subsection set are subjected to ratio solving processing, and the obtained first-level risk judgme