The present application relates to the technical field of
water quality restoration, and more particularly to a multi-source sensing intelligent closed-loop
water quality restoration
system and a control method thereof, which is suitable for
river management, landscape water maintenance,
industrial wastewater treatment and the like, and is particularly suitable for small and medium-sized
water body restoration projects that need to dynamically respond to
water quality changes. By means of multi-channel online monitoring, physicochemical index data and
model organism activity data are obtained, combined with artificial sampling data, an evaluation model is used to comprehensively evaluate the water quality and grade the
abnormality level; and according to the
abnormality level, a graded restoration program is automatically triggered, and automatic
backflow, automatic sample reservation and remote alarm are simultaneously executed, so as to realize closed-loop, accurate and efficient restoration of water quality and whole-process traceable management, improve restoration efficiency and reliability, and reduce the frequency of manual intervention.