Water and wastewater facilities across North America have recognized the importance of incorporating analytics into their equipment operations to meet goals for operational efficiency and sustainability. ITG's AI-based solution has been instrumental in achieving these utility objectives through advanced data analytics and the deployment of AI/Machine Learning tools like SORBA. Designed as an industrial IoT platform, SORBA features built-in, user-friendly predictive analytics and machine learning capabilities, eliminating the need for specialized skills in data science or machine learning engineering. This sets it apart from other AI/Machine Learning technologies, which can be costly and time-consuming to develop and validate. SORBA serves as a quick-to-deploy IIoT/AI platform, empowering control and process engineers to foster a culture that leverages data to address operational challenges and enhance efficiency.

The core benefit provided by ITG is a shift from reactive to proactive maintenance management, resulting in a 20-30% improvement in equipment uptime. This not only enhances maintenance practices but also extends the lifespan of your systems.

Another advantage ITG delivered with SORBA is its capacity for real-time process optimization. The platform adapts to changing operational and environmental conditions to meet specific goals. It learns system behavior and fine-tunes control parameters to achieve objectives, such as more efficient sludge processing through improved BOD control, nitrogen reduction, and minimizing energy usage in high-consumption equipment like pumps and blowers.

The effectiveness of SORBA or any advanced predictive analytics tool relies heavily on a deep understanding of both the process and equipment within the facilities. Effective implementation of machine learning models involves selecting the most impactful variables to achieve optimal results. This necessitates a comprehensive discovery process, including an on-site visit to identify the required data, sensors, IT infrastructure, and control & SCADA platforms. ITG also engaged in discussions with facility staff to assess skill levels and understand existing maintenance practices.