Optimization of plant operation management

We introduce our efforts towards Digital Transformation.

BX Optimization of plant operation management

Targeting RO membrane system, which accounts for a large proportion of the cost and power consumption in water treatment, this system uses AI (artificial intelligence) to optimize the operation of the equipment based on past data, thereby simultaneously reducing operating costs and GHG emissions (power consumption, etc.).

POINT1 Reduced GHG emissions through reduced power consumption and reduced operating costs through reduced frequency of cleaning chemicals and RO membranes replacement

By using AI to manage the RO membrane system(pumps and RO membranes units), which is an issue in water treatment lines, it is possible to reduce power consumption and GHG emissions. In addition, it is possible to reduce operating costs by reducing the use of cleaning chemicals, cleaning costs, and frequency of RO membranes replacement.

The algorithm-based "layout design application" reduces both the amount of work and the time required for basic design.

Reduced GHG emissions through reduced power consumption and reduced operating costs through reduced frequency of cleaning chemicals and RO membranes replacement

POINT 2 High power saving achieved through optimization using AI

High energy-saving effect achieved through AI optimization

Optimization of plant operation management

BX Optimization of plant operation management

POINT1 Reduced GHG emissions through reduced power consumption and reduced operating costs through reduced frequency of cleaning chemicals and RO membranes replacement

POINT 2 High power saving achieved through optimization using AI

POINT3 AI algorithms analyze driving data to optimize driving

POINT4 The system can be installed regardless of whether or not there is an external network.

POINT5Received the Environment Minister's Award at the 4th Japan Open Innovation Awards