Efficient Water Treatment and Distribution
Multiple ‘local’ servers collecting data and generating alarms and data logs for their local process area, with a single standby server at a central location that provides hot-standby services to all local servers. To prevent single-site reliance, that second local server shall have the next nearest local server as its hot-standby, but not the original server. This provides a ‘domino’ redundancy configuration that distributes the processing to reduce overall consequences due to a dual point-of-failure.
Tomorrow’s architectures (Fig. 4) are not limited to just servers to house the SCADA softwares but to include scalability, integratability to other systems including fire alarm systems, building management systems, access and security, electrical management systems, air conditioning, power quality and management systems, biometrics, CCTVs, hydraulic modeling, leak detection, LIMS, GIS and simulation software, integrated to provide a common look and feel.
Quo Vadis, Water Management? SCADA in Future
In the near future, SCADA would need to support a wide range of productivity analysis tools including: Key Performance Summary Indicators such as OEE, Availability, Reliability, Utilisation, Production against targets, Downtime accounting with clear client visualisation tools to identify productivity bottlenecks.
Also in the list, there will be: identification of poorly performing production areas and equipment, common failure causes, production accounting, with clear client visualisation tools to identify performance against budget, performance by shift, by crew, by product, by recipe, quality accounting, with clear client visualisation tools to identify non-compliant measurements, quality trends, quality by shift, by crew, by product, by recipe, tracking and tracing, with clear client visualisation tools to trace supplier materials throughout their distribution in the production system, right through to customer receipt, cost accounting, with clear client visualisation tools to identify the production costs associated with individual production areas, crews, shifts, products, recipes, and finally maintenance interface, with strong interfacing abilities to commercial maintenance packages.