Remote sensing based on time variance control in configurable area partitioning

Stefano De Falco,Giulia Fiorentino

doi:10.5194/ica-proc-4-25-2021

Abstract

Abstract. In this paper a sensor data fusion approach for characteristics field monitoring, based on time variance control model, is proposed. Distributed sensing and remote processing are the basic features of the employed architecture. In fact, in order to obtain meaningful information about the temporal and spatial variations, which characterize the field levels of some characteristics (electromagnetic, air pollution, seismic, etc), a distributed network of wireless and mobile smart-sensors has been designed.Starting from the partitioned configuration of a monitored geographic areas, this model allows to take into account the different levels of degradation over time in the sensors' performances associated with the different geographic partitions, progressively increasing the severity of the control. To this end, through the introduction of a reliability curve, a revised traditional control chart for variables is proposed.The proposed approach, further constituting an element of the scientific debate, aims to be a useful operational tool for professionals and managers employed in the environment control.

Highlights

The main objective of monitoring is to obtain a better understanding of the observed phenomenon, combining a geographical approach with a metrological one
The proposed model, starting from the partitioned configuration of a monitored geographic area (De Capua et al, 2005), allows to take into account the different levels of degradation over time in the performance of the sensors associated with the different geographic partitions, progressively increasing the severity of the control of the monitored parameters
The results considered σ constant are shown in figure 11

Summary

Introduction

The main objective of monitoring is to obtain a better understanding of the observed phenomenon, combining a geographical approach with a metrological one. This task is not always easy, often a direct physical knowledge of the process behaviour or an ‘a priori’ information is not available, so should be done only generic assumptions. The proposed model, starting from the partitioned configuration of a monitored geographic area (De Capua et al, 2005), allows to take into account the different levels of degradation over time in the performance of the sensors associated with the different geographic partitions, progressively increasing the severity of the control of the monitored parameters To this end, through the introduction of a reliability curve, a review of the traditional control chart for variables is proposed. Other methods applied in different field are, for instance recognizable in monitoring the main vegetation changes (Favretto, 2018)

Objectives

Results

Conclusion