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Automated Water Control System in Wastewater Treatment Plants

  • Mohd Tahoor,
  • Pooja,
  • Sunita Hooda,
  • Laishram Saya

摘要

In addition to being crucial for preserving human health and ecosystem health, wastewater treatment (WWT) and sanitation are imperative for sustainable development. Developing new monitoring and sensing technology, enhancing the capacity for quick, precise as well as instantaneous quantification of a wider range of wastewater constituents, and feedback control algorithms based on the data collected are necessary to enable increasingly complex treatment processes in a way that is both economical and energy-efficient. With an emphasis on utilizing real-time wastewater chemical sensing for process monitoring and control, this chapter lists the results of a quantitative comparison between early instrumentation, methodology, and augmentation strategy adoption and proof-of-concept research in operational wastewater treatment plants. Although improvements in the elimination of nutrients have been realized along with energy savings of up to 10%, obstacles still exist in the field. These include gaps in the available hardware, a lack of relevant context for research findings, and an increasing discrepancy between environmental engineers’ perspective of wastewater treatment and the skill sets needed to create and manage sensor-driven solutions. A roadmap for the future outlines ways to spur innovation, such as in the domain of making sure research findings are disseminated in a way that permits operators to do a cost–benefit analysis, one that explicitly compares them to current operational baselines, as well as encouraging integrated hardware and software design to produce innovative methods for enhanced target analyte sensing. Additionally, strengthening collaborations for data sharing, field testing new gear, discussing existing knowledge and identifying gaps in current research, curriculum expansion, and creating platforms for plant operators to exchange knowledge and data is also indispensable. This will allow smaller plants to economically gather the data needed to plan and assess modifications and stimulate further inquiry and innovation in the field of wastewater treatment and automation, fostering interdisciplinary collaboration and collective efforts toward achieving global sustainability goals.