The multilayer distributed intelligence system model for emergency area scanning

Authors

  • Andrey O. Tsariuk Odessa I.I. Mechnikov National University. 2, Dvoryanskaya Str. Odessa, 65082, Ukraine
  • Eugene V. Malakhov Odessa I. I. Mechnikov National University. 2, Dvoryanskaya Str.Odessa, 65082, Ukraine

DOI:

https://doi.org/10.15276/hait.03.2021.6

Keywords:

Expert systems, system architecture, system model, emergency situations, swarm, cloud computing

Abstract

Emergency situations have a huge impact on various important areas of human life. Every year there are many situations, the elimination of which requires a lot of financial and human resources. Therefore, the ability to reduce the impact of the consequences and increase the speed of their elimination is extremely important. In this article, a multi-level model of a system was proposed that provides support for performing operational tasks in emergency situations in open areas. The most important elements, areas of their responsibility, and interconnection were identified and described in architectural style. The idea of the work is to design a system that should use Swarm intelligence under the hood to provide continuous support in emergency situations. The system consists of 4 main parts: Cloud, Swarm, Swarm operator, and Swarm Node. The Cloud (Swarm Wamb) is the main decision-maker that provides ETL data pipelines and operates under strategically tasks. In accordance with the idea, Swarm womb should be a cloud service-like system with the ability to scale over the world. The Swarm is a combined set of multiple Swarm Nodes and only one Swarm Operator. The main task of the Swarm is to provide support in local operational tasks where SN is responsible for the execution and SO is for control. Rescue and search operation after any natural disaster is a target to show the system’s purpose. In practice, the cloud system (Swarm Wamb) receives requests to perform an operation, calculates resources effort first, and delegates a task to the Swarm. When the swarm reaches the location, it starts executing. Operator with nodes tries to find survivors and collect as much important information as they can. Video, images, recognized objects are continuously sending to the Cloud for additional analysis in real-time. Any information in an emergency situation can help save more humans lives and reduce risks. In this article, the multilayer distributed intelligence system architecture for emergency area scanning was designed and described. The set of terminology was proposed as well. This architecture covers different levels of tactical and operational tasks.

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Author Biographies

Andrey O. Tsariuk, Odessa I.I. Mechnikov National University. 2, Dvoryanskaya Str. Odessa, 65082, Ukraine

MS in Information technology, PhD Student of Mathematical Support of Computer Systems Department 

Eugene V. Malakhov, Odessa I. I. Mechnikov National University. 2, Dvoryanskaya Str.Odessa, 65082, Ukraine

Dr. Sci. (Eng), Professor of Mathematical Support of Computer Systems Department Scopus ID: 56905389000

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Published

2021-03-17

How to Cite

Tsariuk, A. O., & Malakhov, E. V. (2021). The multilayer distributed intelligence system model for emergency area scanning. Herald of Advanced Information Technology, 4(3), 268−277. https://doi.org/10.15276/hait.03.2021.6