The invention discloses an expressway service area
sewage treatment system based on
the Internet of Things, and relates to the technical field of
sewage treatment.The expressway service area
sewage treatment system is provided with a multi-
modal sensor and an
edge computing unit, real-time monitoring and
data processing of sewage flow and
water quality parameters are achieved, the
water quality change trend and the parameter change rate are rapidly recognized, and the
sewage treatment efficiency is improved. The sensing capacity of the
system to load changes is remarkably improved, the
system conducts real-time adjustment according to the
water quality changes, fluctuation of the
treatment effect and waste of
energy consumption are avoided, an LSTM model is adopted for conducting
dynamic prediction on water quality parameters, in combination with real-time
monitoring data, the
aeration strategy is optimized through intelligent self-adaptive adjustment and closed-loop fine control, and the
aeration efficiency is improved. The LSTM model can predict the future sewage load and
ammonia nitrogen concentration change, the
aeration intensity and time are adjusted in advance, the fluctuation of the
ammonia nitrogen concentration is quickly responded through PID control and closed-
loop control of a feedback mechanism, and the
ammonia nitrogen removal efficiency and the aeration accuracy are improved.