Our systems are capable of self-learning, which allow them to adapt to changes in influent water volumes and quality, while optimizing chemical and energy consumption to minimize unit water costs. Using advancements from our labs in material engineering our systems are integrated with processes tailored to the harsh operating conditions and separation challenges.
H2O Self Learning Systems are grounded in the Industrial Internet of Things “IIoT”
H2O embraces Industry 4.0 – the next phase in the digitization of industrial machines, driven by the rise in machine data volumes, computational power, and connectivity; the emergence of analytics and business-intelligence capabilities; and improvements in transferring digital instructions to the physical world, such as advanced automation.
Process automation & control systems serve a vital role in the safe & reliable operation of H2O’s water treatment systems.
H2O systems are equipped with leading automated valve, instrumentation & machine controls, along with advanced automation software controls, and mass-data gathering, storage & analysis to enable automated optimization of water treatment systems.