Oplossingen

Waterbeheer

Gain clear insights into water operations

Water supply and wastewater treatment require perfect management and immediate decision-making.

The goals are:

high efficiency of treatment and purification processes,
optimisation of water and energy consumption,
improved asset management processes and sustainability.

Achieving these goals is possible with the next level of digital transformation specific to the water industry. Full situational awareness coupled with data-driven decision-making means significantly lower business costs, improved operational efficiency, better resource management, increased water quality and superior customer service. With the benefit of a more sustainable and resilient water treatment process, the communities you serve will enjoy superior quality service and an improved standard of living.

Benefit from universal connectivity and contextualised data

Tapping into operational data is the first step towards optimised management of water operations. Mitsubishi Electric is giving the water industry a one-of-a-kind opportunity. We provide IoT solutions that help establish interoperability and support holistic decision-making.

Using edge analytics and digital twins enables asset optimisation and change management by simulating numerous variants before making a final decision. Structured and visualised real-time data provide the greatest possible transparency into processes, performance and operational behaviour.

Mitsubishi Electric's ICONICS Software Suite provides you with unrivalled efficiency in the collection, visualisation, analysis, and optimisation of data from a single piece of equipment all the way up to multiple facilities. Upon being connected, the software unifies the data and increases the value you can derive from it for much clearer insight into all your water operations, from water supply and water distribution networks to wastewater treatment management.

The ICONICS user interface is intuitive and easily configurable, which makes the information extracted from the data (both real-time and historical data) suitable for analysis and decision-making.