A Spatially Bounded Airspace Axiom

Szabó, Péter; Ferencová, Miroslava; Blišťanová, Monika

doi:10.3390/axioms11060244

Cited by 4 publications

(8 citation statements)

References 10 publications

(9 reference statements)

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“…The results of the project are multidisciplinary by combining knowledge from various fields such as engineering [9], transport systems [10], sensorics [11], modeling and simulations [12], electrical engineering, electronics, engineering, information technologies [13], cloud technologies [14] and communication technologies.…”

Section: Project Movir -Mobile Sensory Systemmentioning

confidence: 99%

“…The basic principle of determining the area of interest is the principle used by Free Route Airspace (FRA) see. [12] when defining the horizontal part of the airspace. It is needed to enter special significant points of space which belong to the given area.…”

Section: Digital Model Of the Area Of Interest 41 Area Of Interest -E...mentioning

confidence: 99%

“…As stated in the work [12], it is not possible to algorithmically determine a polygon based on significant points of the limited area. Therefore, it is necessary to enter which significant points and in what order will define the polygon that bounds the area of interest.…”

Section: Polygon Of the Area Of Interestmentioning

confidence: 99%

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Modeling the Area of Interest for a Mobile Sensory System

Szabó¹,

Galanda²,

Muszka³

2023

Preprint

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Autonomous electronic area, territory, or space protection is getting more important. One of the areas of application of the system is to monitor the quarantine zones created during epidemics. The idea to create a system of mobile sensory units for defending quarantine zones was born during one of the phases of the Covid epidemic in 2020. The paper contains a brief technical description of a mobile sensor units and their network. This network surrounds an area of interest. The work includes a mathematical and data model of the protected area. In addition, the paper presents a method for distributing mobile sensor units in areas of interest.

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Section: Project Movir -Mobile Sensory Systemmentioning

confidence: 99%

Section: Digital Model Of the Area Of Interest 41 Area Of Interest -E...mentioning

confidence: 99%

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Modeling the Area of Interest for a Mobile Sensory System

Szabó¹,

Galanda²,

Muszka³

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The basic principle of determining the area of interest is the principle used by Free Route Airspace (FRA) see [17] when defining the horizontal part of the airspace. It is needed to enter special significant points of space which belong to the given area.…”

Section: Area Of Interest-estimation Of the Number Of Sensory Unitsmentioning

confidence: 99%

“…The results of the project are multidisciplinary by combining knowledge from various fields such as engineering [14], transport systems [15], sensorics [16], modeling and simulations [17], electrical engineering, electronics, engineering, information technologies [18], cloud technologies [19] and communication technologies.…”

Section: Introductionmentioning

confidence: 99%

Modeling the Area of Interest for a Mobile Sensory System

2023

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We live in the age of the 4th industrial revolution. The leading technologies of this revolution are Cloud computing, Big Data and the Internet of Things (IoT). The vast majority of IoT technologies are characterized by the fact that we collect data with the help of sensors using the Internet. The project MOVIR also implements such an IoT technology. The main goal of the project was the development of a sensor unit. Such sensor units form a network that protects a specific area. This network forms an autonomous electronic area or space protection system. To create this network, we need to define the place we want to protect and the placement of sensor units within this area. Our work is about the mathematical and digital definition of such an area and the placement of sensor units. One of our articles on air traffic control gave the idea of digital modeling the protected area. Here we define the area of interest using significant points. Points are given using GPS coordinates. With the help of a spatial coordinate system, these significant points and a projection, we define a coordinate system to define and model our protected area and the network of sensor units. Here, a digital raster terrain model where significant points are located is required as input data. The digital model of area is defined using a matrix whose elements indicate the height of points in space. The row and column indices of the matrix determine the details of the area. We can use several height layers to describe different obstacles. The accuracy of this theoretical mathematical terrain model depends on the description and details of the accuracy of the terrain. The mathematical model of the area of interest is a 3D polygon. The network of sensor units model is also a 3D polygon located within the area of interest.

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