Preprint: Fuzzy-GNN and PINN-based Modeling of Water Infrastructure under SCADA Blackout Conditions

Tue, 10 Jun 2025 00:00:00 +0000

This preprint builds upon the results of our previous published work on GIS-ANFIS-based accident prediction in water networks.

Due to the critical nature of infrastructure data and the wartime conditions in Ukraine, full access to source code and datasets is restricted. Only general architecture and anonymized examples are shared publicly.

The proposed model includes:

Fuzzy membership layers on top of graph node attributes
Integration of PINN for physical constraint modeling (e.g., Darcy–Weisbach)
Compensation mechanisms for missing SCADA sensor inputs
NSGA-II multi-objective optimization for valve control

This approach is applicable in utility AI systems that must remain resilient even during cyber-physical or war-induced infrastructure disruptions.

A Hybrid Model of Artificial Intelligence Integrated into GIS for Predicting Accidents in Water Supply Networks

Sat, 01 Jun 2024 00:00:00 +0000

Due to the sensitive nature of the infrastructure involved, part of the source code and the dataset used in this study are not publicly available. These materials are classified under wartime restrictions and relate to critical infrastructure, thus cannot be shared or distributed.

This publication is based on research conducted at the Educational and Research Institute for Applied System Analysis (ERIAS) of Igor Sikorsky Kyiv Polytechnic Institute.

The proposed hybrid system combines:

ANFIS: for fuzzy logic and learning from data;
GA + ACO: to optimize fuzzy rule sets and clustering;
GIS: for spatial context, visualization, and decision support.

The integration supports water utilities in making informed, predictive decisions regarding accident response and preventive maintenance. Use of metaheuristics improved predictive power while retaining interpretability.

Critical Infrastructure | Hugo Academic CV Theme

Preprint: Fuzzy-GNN and PINN-based Modeling of Water Infrastructure under SCADA Blackout Conditions

A Hybrid Model of Artificial Intelligence Integrated into GIS for Predicting Accidents in Water Supply Networks