WaterEdge: Edge-Cloud Collaborative Intelligent Coagulation System for Group-Level Water Treatment Plants

Providing an intelligent coagulation solution for group-level water treatment plants (WTPs) is of great significance to improve coagulation efficiency. Existing solutions are devoted to intelligent models based on operators' experience, but ignore the dangers of too much residual aluminum to human health and plant cost. To solve this problem, we propose an edge-cloud collaborative intelligent (ECCI) coagulation system, WaterEdge, to minimize the residual aluminum, while ensuring water quality. To support this, a collaborative architecture of 'multiPool-multiWTP-cloud' is developed for fast computation, continuous service maintenance, and upgradation of all WTPs. An ECCI dosage prediction algorithm based on double incremental learning is proposed to determine optimal dosage. To reduce the response time, an ECCI online scheduling algorithm is presented. Furthermore, we build an ECCI platform to provide lifecycle management of applications and verify the effectiveness of WaterEdge in real-world WTPs. Extensive experiments demonstrate that WaterEdge can significantly outperform existing schemes.