SCADA System Monitors

Izmir, the third largest city in Türkey, has been plagued with arsenic problems in its drinking water. A large arsenic removal plant, erected in 2008, reduces the level to well under the10ìg/l limit.
Arsenic is a toxic element found in natural water sources. According to the World Health Organization(WHO), each liter of drinking water should not contain more than 10 micrograms of arsenic otherwise it would be unfit for human consumption and lethal. Unfortunately,keeping water fit to drink is a world problem.
Izmir, the third largest city in Turkey, has been plagued with arsenic problems. The situation was further worsened by a drought in the region which increased arsenic concentration over the years.
In 2008, the world’s biggest arsenic removal plant for drinking water was erected in Izmir with a capacity of treating 270.000m3 of water a day. All of the electrical and automation works for the project were completed by ABCENSER. The plant has successfully reduced the arsenic level from 50ìg/l to well under the 10ìg/l limit.
The system is controlled by 3 Hitachi EHV CPU’s based PLCs which communicate with each other using Ethernet over a fiber optic network and visualization is implemented using Progea’s standard Movicon SCADA platform.
The entire plant’s activities are centralized and supervised from the control room by a central Movicon server station that handles 1800 tags.All useful data is traced and stored on a local database using the Scada’s native data recording facilities: Events Log, data Tracer, Analog Data-logging. Collected data is also remotely monitored over the Internet using Progea’s Java Base webclient technology.
The control system is designed to run with minimum human intervention and minimum down time. All alarms and faults are monitored locally and remotely for quick corrective reaction.
The automation part of the works on the plant included the synchronization and control of the generator sets, the controlling of the input pumps based on filtering process’s intake levels and flow rates as well as the automation of filter groups and the backwash water treatment system. Furthermore the visualization,logging, reporting of the complete system as well as the remote monitoring of the system were realized.