The application provides a
fire point automatic identification method of an intelligent
charging station, comprising: grouping each section according to
thermal radiation intensity and measured thickness of a
smoke layer, identifying an abnormal area of accumulated thickness of a vortex stagnation of a beam recess in each section; obtaining
smoke layer deposition thickness distribution data, classifying
thermal radiation intensity attenuation of the beam recess position according to the
smoke layer deposition thickness distribution data, generating an attenuation
distribution diagram, and identifying a potential
fire point shielding area in a smoke exhaust path; according to the potential
fire point shielding area, extracting a beam recess smoke layer shielding rate with a longer stagnation time from the smoke
layer thickness distribution diagram, rechecking the smoke layer shielding rate in combination with the vortex stagnation time of the beam recess and the beam recess spacing, obtaining a rechecked
thermal radiation intensity distribution sequence; and according to the rechecked thermal
radiation intensity distribution sequence, iteratively updating thermal
radiation attenuation characteristics along the slope under the influence of the ceiling
slope angle, and determining a real fire point position coordinate under the smoke layer shielding.