Like the wastewater industry, most food and beverage manufacturing facilities are equipped with massive data systems to monitor and optimize the wide range of operations. These similarly regulated industries are increasingly adopting Artificial Intelligence (A.I.) into their processes to better manage systems and procedures.
Though many water industry professionals recognize the potential of A.I., the public health implications of delivering top-quality wastewater in addition to aged production infrastructure, municipal operators and engineers have not yet enjoyed the same benefits of these technologies.
Several large corporations have invested heavily to develop broad “solutions” to address the challenges of water production industries. Yet, these systems have been hit or miss due to the wide range of data streams and particularities within plants across the water industries.
For decades, water treatment process decisions have been made by plant operators based on information spread across a wide range of systems. Calculations are often made by hand and cautious decisions are chosen to avoid the vast array of potential risks – often without regard to cost or process efficiencies. Recognition of patterns of system behavior is nearly impossible as a variety of staff are tasked with administration of multiple machines on an irregular basis.
What if there was a way to recognize the risks and achieve optimal efficiencies that could address the specific challenges faced by an individual plant, without additional infrastructure investment?
One of the many benefits of the marriage between machine learning and Artificial Intelligence, as utilized by Pluto AI, is the ability to recognize the differences in individual system behavior and processes to make more informed decisions to improve plant efficiencies while controlling for potential risks.
Utilizing the existing data from each individual plant, the EZ Influent Flow Predictor will forecast influent flow and detect anomalies to help operators predict future plant behavior and upcoming challenges. The machine learning aspect of our proprietary algorithms analyze and continuously learn from the existing data that impacts incoming flow and Artificial Intelligence maps out the data to provide actionable insights to operators to determine the best course of action based on the range of potential risk factors present.
Our unique system of dashboard insights and alerts have helped customers achieve compliance and save thousands in operational costs. A pilot version of the EZ Influent Flow Predictor is available for free to a limited number of treatment plants, learn more about how to enroll.
