For the first time in Turkey, Seyhan Dam, Çatalan Dam, and Yedigöze Dam have been equipped with artificial intelligence support for remotely managing both the upstream and downstream control, and have been established for Flood Management.
This project, developed for the automation and flood management of Seyhan, Çatalan and Yedigöze Dams, represents a first in Turkey. This system enables the management of dams with artificial intelligence-supported technologies and provides full control over water levels and flows. While the water levels in each dam are monitored instantly with non-contact water level measurement systems, this data is transmitted to a central control system. In addition, the water level of the streams and irrigation channels feeding the dams is monitored with the Elman Radar system, thus making water management much more efficient. Thanks to the SCADA system integration, the management of water transmission channels and flood conditions are controlled synchronously. This system optimizes both drinking water and agricultural water use, while continuously monitoring when and how much of each drop of water is available. In addition, thanks to the Flood Early Warning Notification and Monitoring System integrated to detect flood risks early, sudden increases in water levels are instantly detected and warnings are sent to the authorities. In this way, rapid interventions can be made before natural disasters. The system works in integration with critical institutions such as AFAD and the Red Crescent, allowing society to be guided quickly in disaster situations. Developed using local software and industrial hardware, this system takes an important step towards managing water resources safely and efficiently.
At this stage, all the necessary infrastructure is designed to control the water levels and flows of the Seyhan, Çatalan and Yedigöze Dams. Autonomous regulators and gates are selected for the upstream and downstream controlled management of each dam. Non-contact level measurement systems are installed to monitor water levels and this data is transferred to the system. At the same time, the levels of the streams and irrigation channels feeding the dams are continuously monitored with the Elman Radar system. The integration of the SCADA system into this infrastructure is planned and the necessary software development work is initiated for monitoring water management.
The second stage begins with the integration of all devices and systems. At this point, the necessary software for the Flood Early Warning and Monitoring System is developed. Taking into account sudden changes in water levels, rainfall intensities and other meteorological data, the system performs real-time monitoring and data collection. In addition, artificial intelligence-supported algorithms are used to instantly evaluate all this data. At this stage, the system's warning levels are determined and sudden increases in water levels are automatically transmitted to alarm systems. The data is integrated to be sent to disaster response organizations such as AFAD and the Red Crescent.
The final stage is to activate the system in the field and regularly monitor the water level of each dam. All sensors and radar systems are installed and data is collected instantly. Flood risks are detected in advance by the system and when certain threshold values are reached, notifications are sent to the relevant authorities. At the same time, the irrigation channels and water transmission lines of the dams are managed synchronously. The system confirms the accuracy of the data received through the live image monitoring community. This stage ensures that the system is constantly monitored and interventions are made when necessary. Both drinking water and agricultural water use are managed efficiently and safely. In addition, the system's data is periodically analyzed and optimization is made when necessary.
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