The invention discloses an online
pollution monitoring and tracing
system and method based on
artificial intelligence, and belongs to the field of
environmental protection. The method comprises: establishing a polluted
wastewater chemical
fingerprint database; performing online monitoring, and collecting
pollution risk data in real time;
accident risk qualitative and screening; quantitatively analyzing and comparing the data to determine the accident occurrence possibility; and carrying out five steps of on-site investigation, evidence obtaining and
verification of accident occurrence possibility. According to the method, the
pollution discharge condition of the factory in the target
water area is investigated in a groping manner, the
sewage discharge fingerprint database is established, the uncertainty between the
monitoring data and the actual data is determined through the inversion method, and then the pollution source occurrence place is determined by comparing the similarity andthe uncertainty. The problems of subjectivity,
hysteresis quality, high equipment requirements and large
workload of a traditional pollution
source tracing method for pollution accidents are solved, the difficulty of
data detection is reduced, and the feasibility of the tracing method is improved.