Schneider Electric, a provider of digital transformation solutions for energy management and automation, has unveiled new IIoT-based products for the water industry at the WEFTEC Conference in Chicago.
Among the products unveiled include EcoStruxure Pumping Performance Advisor, EcoStruxure Augmented Operator Advisor, EcoStruxure Hybrid DCS for Water and the PROficient Premier Access Portal.
These solutions are intended to boost process optimisation to increase efficiency and cut down operating costs to make water and wastewater operations more profitable.
The new offerings provide greater operational insights and process data. They leverage the data to help operators manage their operations efficiently.
Schneider Electric vice president of sales Kakali Ray said: “Connected, IIoT-based solutions offer new levels of efficiency, reliability and insight into all aspects of the water and wastewater industry.
“These new technologies mark an exciting time when operators have both the process insights to understand their operations and make informed decisions, as well as the tools to implement real-time changes to optimize those operations.”
A digital service, EcoStruxure Pumping Performance Advisor helps to manage pump station performance through insights, recommendations and enables direct access to the company’s service team of engineers. By leveraging data-driven digital technologies, this solution reduces energy cost and increase performance, besides reducing any unplanned downtime.
An automation system, EcoStruxure Hybrid DCS enables to engineer, operate and maintain a plant in a single common database.
By combining contextual and local information on a mobile device, EcoStruxure Augmented Operator Advisor provides real-time information. It helps to improve operational efficiency with augmented reality. It allows operators to superimpose the current data and virtual objects onto a either a machine, or plant.
Its PROficient Premier Access Portal provides information and expertise to members of its consulting engineer community.