In this paper, the authors propose a novel methodology to measure the volume of masses of granular material by means of wired or wireless sensor networks. The proposed technological framework exploits a grid of sensor nodes, each of them in charge of measuring the level of a layer of granular material in a specific point. Since this layout allows to subdivide an area in grid of squares, 4 sensor nodes are expected to sit at the corners of each square, where they will be able to punctually measure the level of the layer. This paper proposes a geometrical approach to calculate the volume of the material in the area covered by the sensors using these data sets. Thanks to the proposed calculation methodology, the volume can be estimated by means of simple geometrical calculations that can be easily performed on a resource-constrained device like a microcontroller.

A geometrical approach for the measurement of the volume of masses of granular material through grid-layout sensor networks

Bertoni D.
2020-01-01

Abstract

In this paper, the authors propose a novel methodology to measure the volume of masses of granular material by means of wired or wireless sensor networks. The proposed technological framework exploits a grid of sensor nodes, each of them in charge of measuring the level of a layer of granular material in a specific point. Since this layout allows to subdivide an area in grid of squares, 4 sensor nodes are expected to sit at the corners of each square, where they will be able to punctually measure the level of the layer. This paper proposes a geometrical approach to calculate the volume of the material in the area covered by the sensors using these data sets. Thanks to the proposed calculation methodology, the volume can be estimated by means of simple geometrical calculations that can be easily performed on a resource-constrained device like a microcontroller.
2020
Bocci, C.; Fort, A.; Pozzebon, A.; Bertoni, D.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1030339
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 4
social impact