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 industrial IoT cloud-based model for real-time wastewater monitoring and controlling. The proposed system monitors the power of hydrogen (pH) and temperature parameters from the wastewater inlet that will be treated in the wastewater treatment plant, thereby avoiding impermissible industrial wastewater that the plant cannot handle. The system collects and uploads real-time 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.
Highlights
Wastewater treatment is a method of improving and purifying water by removing some or all pollutants, allowing it to be reused or returned to the environment
The data from the sensors is processed by the Internet of Things (IoT) module, as indicated in the flowchart (Fig. 4)
CONCLUSION & FUTURE WORK Our main intentions of this research work were to create a small, economical, flexible, configurable, and portable system that could monitor, and control industrial wastewater discharged into wastewater treatment plants and prevent damage in the treatment process and equipment and protect the workers which are not qualified to deal with such type of water
Summary
Wastewater treatment is a method of improving and purifying water by removing some or all pollutants, allowing it to be reused or returned to the environment. LITERATURE REVIEW The application of IoT and IIoT in environmental remote monitoring and controlling, especially in water and wastewater quality systems has been discussed in many research papers. ‘‘Raspberry pi’’, as a communication module for remote monitoring and control, is used to develop a smart industrial system to detect abnormal behaviour and equipment failure Their proposed architecture is flexible to extend to a wide range of IoT-based applications in which the analysis of collected data sets could enable fast and precise decision-making. The majority of past research on realtime monitoring of wastewater parameters using low-cost IoT devices lacks clarity on how to make decisions and control based on sensor data They employed pre-existing third-party cloud platforms for data monitoring and analysis rather than developing their own. There were no additional options for data transmission in the event of a Wi-Fi connection failure, and there was no configurable dashboard, custom reporting, or warning services
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