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Citation Information : Architecture, Civil Engineering, Environment. Volume 10, Issue 4, Pages 141-151, DOI: https://doi.org/10.21307/acee-2017-058
License : (BY-NC-ND 4.0)
Published Online: 28-August-2018
The article presents the concept of an intelligent system of multithreaded, hierarchical predictive control of water supply and sewage networks using a parallel computational architecture. The predominant element of the proposed control system over other hitherto functioning systems is the element of predicting future events (MPC model). This feature, combined with the self-learning intelligent control system, not only allows you to react to changes in sensor state, but also anticipate these changes and adjust the system in advance to prepare for predicted situation, which is particularly important in systems with high inertia as extensive water supply and sewage networks. The technologically advanced solutions proposed by the authors, ie the HPC (High Performance Computing) ICT system, including the requesting module allows (by analyzing the space of states and events in real time) to predict future behaviors of individual elements of the system and effectively react to unknown cases, supporting the making of strategic decisions.
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