Artificial Intelligence
Artificial Intelligence enabled insights serve as a guide to efficiently and cost-effectively operate your plant.
Delivering Actionable Insights
At Circle H2O we have in-house process engineering expertise to help us identify critical points in the treatment process where sensors, meters, and other data should be routinely collected (either in real-time or through other means of testing). We help our clients implement a data collection plan and specify and supply sensors to ensure that the relevant data is collected and correctly managed, as data is at the heart of any advanced analytics solution and artificial intelligence solution. The data collection system serves as the foundation of our water and wastewater AI stack offering. We also develop and implement artificial intelligence algorithms to optimize plant performance, and deliver the relevant insights through a cloud-based delivery platform. Our ongoing support is provided through an analytics-as-a-service (AaaS) package.
Components in our AI Stack
Analytics as a Service (AaaS)
As a subscription, we offer an analytics-as-a-service package to all of our clients. Our analytics-as-a-service assists our clients in producing safe treated water, reducing energy and chemical costs, and avoiding equipment downtime. We provide this service through our AI water and wastewater stack, in which data collected through sensors and laboratory testing serves as a backbone. Proprietary algorithms developed for optimizing various tasks within a treatment plant services as the middle layer. Finally, the analytics is delivered to our clients via an automated web report or cloud-based dashboard, providing user-friendly insights and recommendations to plant operators. With our analytics-as-a-service package, we continue to provide valuable knowledge support to our many clients, with continued costs-savings benefits to them.
Artificial Intelligence & Machine Learning Algorithms
Circle H2O uses its knowledge partner, Ensaras, Inc., to develop artificial intelligence and machine learning algorithms that can assist plant operators in meeting treatment objectives. Ensaras, Inc. has conducted several first-of-a-kind projects in the wastewater field highlighting the usefulness of advanced analytics tools in the water and wastewater sector. Some past projects have included determining treated wastewater effluent quality in real-time, and predicting odors from a large storm water reservoir several days in advance. Current projects are focused on meeting treatment objectives, reducing operational expenses, and avoiding plant downtimes.
Physical Sensors
At Circle H2O we have in-house process engineering expertiseto help us identify critical points in the treatment process where sensors, meters, and other data should be routinely collected (either in real-time or through other means of testing). We help our clients implement a data collection plan to ensure that the relevant data is collected and correctly managed, as data is at the heart of any advanced analytics solution.
Water & AI Wastewater Stack
