The incorporation of data analytics and machine-learning techniques makes this one of the world’s leading water management systems with predictive diagnostics and condition-based monitoring capabilities.
The NERVA Smart Water Management System is a centralised control and monitoring system for the efficient management of treatment processes relating to water and wastewater. Developed by ST Engineering in 2018, the main advantage of the system is its excellent compatibility with different sensors and process instruments thereby enabling richer sources of data to be collected for deeper analysis.
“The Smart Water Management System is an extension of our experience in developing control and automation systems on board ships,” explains Mr Sim Chee Chong, Assistant Director for Marine Technology & Solutions Centre (Ship Management and Sensemaking Systems), Marine, ST Engineering.
“By expanding our NERVA portfolio to civil applications, our engineers can lend their design and development expertise in integrated controls and high-performance monitoring systems to other complex and large-scale projects. A good example would be our consortium effort with Tuas Power for Jurong Island Desalination Plant, where the management of processes for seawater intake, dissolved air flotation, ultrafiltration, reverse osmosis and remineralisation can ensure Singapore’s water sustainability!” he added.
NERVA Smart Water Management System
- Uses realtime data for plant monitoring and determining appropriate response
- Uses data-driven trends for reactive and predictive maintenance
- Incorporates remote monitoringcapability for preventive and timely maintenance
- Lowers operational and maintenance costs
Despite obvious similarities in designing systems for the remote monitoring and control of machinery and equipment, there were innate differences in having to develop a water management system from scratch. “This is a completely new product line for our marine engineers, and we’ve worked very closely with our Environmental Engineering colleagues to tap into their domain knowledge on water processes,” Chee Chong admitted.
Nonetheless, strong teamwork has led to several new and innovative features specific to water management. These include sophisticated tools for data analytics and machine-learning techniques for predictive diagnostics and condition-based monitoring – one of the world’s leading water management systems to incorporate predictive maintenance capabilities.
These features will go a long way to enhance the operational efficiency of users. Maintenance intervals can be lengthened as servicing needs are determined by the condition of the equipment rather than a fixed maintenance schedule. Uptime and equipment lifespan will be improved, generating higher cost-savings. Downtime will be minimised through predictive diagnostics, allowing the switch from reactive troubleshooting to preventive maintenance.
For enquiries about the NERVA Smart Water Management System, please contact:
Mr Sim Chee Chong at firstname.lastname@example.org