An ammonia slip online detection method and system for vehicle based on big data

Abstract

The present application belongs to the technical field of vehicle detection, and discloses a vehicle ammonia escape online detection method, system and terminal based on big data. The method comprises: acquiring real-time data of ammonia emission concentration, identifying ammonia escape peak concentration from the real-time data, and outputting the starting time point corresponding to the ammonia escape peak concentration; based on the starting time point, setting an investigation period including a first investigation period and a second investigation period, correcting the first investigation period to determine a first corrected period, and determining a second corrected period based on the second investigation period. The present application filters out non-continuous and occasional ammonia escape caused by sensor instantaneous fluctuation or environmental interference, avoiding misjudgment of isolated and irregular data peaks as real ammonia escape events.

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