Smart Sensors and Sensing Technology in the Water and Wastewater Treatment Industries
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Industrial Sensors".
Deadline for manuscript submissions: closed (15 October 2023) | Viewed by 145
Special Issue Editor
Interests: machine learning; reinforcement learning; adaptive control; recommender systems; user modeling; wastewater systems; adaptive predictive control; adaptive interfaces
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of smart sensors and sensing technology into the water and wastewater treatment industries has opened up new opportunities for the application of AI technology. The real-time data collected by these sensors can be analyzed using AI algorithms, which allow researchers to identify patterns and anomalies, optimize processes, and predict maintenance needs.
One of the key advantages of using AI in conjunction with smart sensors is the ability to create predictive models that can anticipate problems before they occur. By analyzing historical data, AI algorithms can learn to identify patterns and predict when equipment failure or other issues are likely to occur. This allows for proactive maintenance, reducing downtime and repair costs.
AI can also be used to optimize treatment processes by analyzing data from smart sensors in real time. By continuously monitoring water quality and other parameters, AI algorithms can adjust treatment processes to ensure that water meets the desired standards while minimizing the use of chemicals and other resources.
In addition to these operational benefits, AI can also help researchers to improve the accuracy of water quality testing. By analyzing data from multiple sensors and sources, AI algorithms can identify and correct errors in data, ensuring that accurate information is used to make important decisions about water quality.
Overall, the integration of smart sensors and sensing technology in the water and wastewater treatment industries, along with the use of AI, is helping to improve process efficiency, reduce costs, and ensure the delivery of high-quality water to communities around the world.
Dr. Félix Hernández del Olmo
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence
- wastewater treatment
- reinforcement learning
- water quality
