No abstract

No abstract

No abstract

No abstract

Wastewater treatment is considered the most important process for reducing pollutants in wastewater to levels that nature can cope with. At many Sewages treatment plants, industrial wastes cause more difficulties in the treatment process than any other single problem where the plant operators have to deal with. These plants may not be designed to handle these types of wastes and the accelerated deterioration of sewage treatment plant structures. In this paper, we propose a new IIoT cloud-based model for real-time wastewater monitoring and controlling. The proposed system monitors the power of hydrogen (pH) and temperature parameters from wastewater inlet which will be treated in Wastewater treatment plant and avoid impermissible industrial wastewater which the plant cannot deal with. The system collects and uploads realtime sensor readings to the cloud via an IIoT Wi-Fi Module. Additionally, it reports observed or identified unexpected industrial wastewater inlets via SMS notifications and alarms and controls the valves of the gates. This is needed to change the path of the water to the industrial wastewater treatment plant that can treat this type of wastes. Experimental work shows the effectiveness of the proposed system compared to related work. INDEX TERMSInternet of things (IoT), Industrial internet of things (IIoT), industrial wastewater, sensors, Cloud-based IoT I.