It is an Innovative Real Time Information System consisted of an interactive multi-agent intelligent network with main target to monitor and control both seawater intrusion and waste water overflows in Combined Sewer systems in coastal cities.

The real time monitoring of seawater intrusion and waste water overflows, the continuous support of the sewage company in dealing with these issues and the direct implementation of corrective actions mainly related to the operation of the electromechanical equipment within the Combined Sewer system.

The system receives and assesses real time measurement data from multiple environmental sensors in order to:

[1]	INFORM the staff of the sewage company about the combined sewer system’s operational conditions
[2]	PREDICT undesired conditions (e.g. weather conditions that can lead to seawater level raise and consequently to seawater intrusion)
[3]	ALERT in cases of wastewater overflows and/or in cases of seawater intrusion
[4]	DECIDE in real time the appropriate corrective measures (e.g., moving gates, etc.) during critical conditions and implement a series of actions till the desired state of the combined sewer system is re-established

[1]	Secure the protection of the environment especially during receiving surface waters from combined sewer system
[2]	Minimize the frequency of wastewater overflow events due to unpredicted pipeline blockage or prolonged wastewater discharges after rainfall events
[3]	Eliminate the high chloride concentrations in Wastewater Treatment Plant effluent -caused by seawater intrusion- that are detrimental to plant growth and thus unsuitable for irrigation
[4]	Reduce the added costs of transporting and treating seawaters
[5]	Decrease the number of interventions in order to unlock flaps that caught debris and stayed opened and the time of response of the sewage company’s staff to inspect the combined sewer system

The Real-t-SO has a hybrid nature, since it utilizes fuzzy logic algebra concepts and also crisp values and a rule based inference mechanism. Particularly, the measurement data are managed in Real Time scale and as the system is informed continuously on the situation, an iterative process is initiated. Four distinct types of intelligent agents are used: Sensor, Evaluation, Decision and Actuator. There are also several types of Decision agents depending on the environmental factor examined. The system’s outputs are continuously online but also automatically sent to the users’ smart phone and tablet.

[1]	Full customize capabilities satisfying completely the user’s profile.
[2]	Adaptive ability and interface on existing monitoring systems.
[3]	Reading of infinite amount of data and design of any type of decision making mechanism.
[4]	Complete automatic system with customized capabilities for visualizing specific messages according to the user’s needs and responsibilities.
[5]	Recording of the measurement data in an open database for further treatment and analysis.