This invention discloses an adaptive limit
control system and method for SBR decanter based on multi-parameter
coupling, belonging to the field of
intelligent control technology for
wastewater treatment. Addressing the non-contact
sludge runoff phenomenon of "
siphon following effect" caused by
sludge expansion or deterioration of
settling performance during the SBR decanting stage, this invention constructs a dual closed-
loop control architecture of multi-parameter
coupling, incorporating feedforward prediction and feedback self-learning. The
system comprises a multi-parameter sensing module, a multi-parameter coupled modeling and
control unit, an execution module, and a feedback correction module. By integrating multi-dimensional information such as online MLSS, temperature, real-time
sludge level from the sludge interface meter, online
effluent SS / TP monitoring, and laboratory SV30 / SVI data and their input timeliness, it establishes a "
sedimentation risk-
safety margin" mapping model expressed as a product of the
sedimentation expansion coefficient k₁,
activity inhibition coefficient k₂, density compensation coefficient k₃, and time-related decay coefficient k₄. This model dynamically generates a safety redundancy distance ΔS, and outputs the optimal
lower limit Hopt = L + ΔS, pre-setting the limit before decanting begins, thus achieving a fundamental shift from reactive emergency shutdown to proactive prevention. The feedback correction module continuously corrects
model parameters through automatic attribution judgment and trial-and-error optimization algorithms, maximizing the single-cycle treatment capacity while ensuring
effluent compliance. This invention is the first to achieve proactive control of the
siphon following effect, significantly improving the
effluent compliance rate and operating efficiency of the SBR process under complex operating conditions.