This invention relates to the field of
big data processing technology, specifically to a lighting
data processing method and
system based on
environmental perception. The method includes the following steps: acquiring brightness and
time series data and dividing them into segments by intervals; extracting segment numbers to identify the direction of change; matching segments with
time windows to determine their type and associate them with paths; verifying segment consistency according to path order; and correcting the order by matching timestamps. In this invention, by dividing adjacent time intervals in the
time series and constructing a segment
numbering system, brightness changes exhibit continuous characteristics. Path relationships are extracted by combining changes in segment number direction, and segment cross-mapping is established within multiple
time windows to form an association analysis of the brightness evolution process. Connection
verification is performed based on segment type and path order to ensure consistency of adjacent data changes. Combined with time position matching and order correction, the lighting state changes become more stable, improving response reliability under lighting conditions and suppressing the
impact of abnormal disturbances.