A dust explosion is one of the key security issues for many industrial, pharmaceutical and agro-alimentary plants and for the safety of the workers. We have developed an optoelectronic sensor system to determine the mass of deposited dust and the resuspension rate. The authors also mount antennas on an optoelectronic sensor system to perform measurements remotely. The technique used is based on a non-invasive light absorption method. The paper reports a cost analysis in order to demonstrate the possibility to use, in our optoelectronic sensor system, several sensors to monitor large volume. In this paper the authors present the sensor system, the test and calibration of its components together with the results and the error analysis, demonstrating experimentally what is the maximum and the minimum readable range.
 Eckhoff, R.K. (2003). Dust Explosions in the Process Industries. Gulf Professional Publishing.
 U.S. Chemical Safety and Hazard Investigation Board. (2005). Investigation digest: Dust explosion at West Pharmaceutical Services.
 U.S. Chemical Safety and Hazard Investigation Board. (2009). Investigation report: Sugar dust explosion and fire.
 Amyotte, P.R., Eckhoff, R.K. (2010). Dust explosion causation, prevention and mitigation: An overview. Journal of Chemical Health & Safety, 17 (1), 15-28.
 Eckhoff, R. (2009). Understanding dust explosions. The role of powder science and technology. Journal of Loss Prevention in the Process Industries, 22 (1), 105-116.
 Gao, W., Mogi, T., Sun, J., Yu, J., Dobashi, R. (2013). Effects of particle size distributions on flame propagation mechanism during octadecanol dust explosions. Powder Technology, 249, 168-174.
 Giby, J., CSB Hazard Investigation Team. (2007). Combustible dusts: A serious industrial hazard. Journal of Hazardous Materials, 142 (3), 589-591.
 Hauert, F., Vogl, A., Radandt, S. (1996). Dust cloud characterization and the influence on the pressure-timehistory in silos. Process Safety Progress, 15 (341), 178-184.
 Occupational Safety and Health Administration (OSHA). (2014). Hazard alert: Combustible dust explosion. OSHA Fact Sheet, DSG 12, 1-2.
 Abuwser, M., Amyotte, P., Khan, F., Morrison, L. (2013). An optimal level of dust explosion risk management: Framework and application. Journal of Loss Prevention in the Process Industries, 26 (6), 1530-1541.
 Eckhoff, R.K. (1996). Prevention and Mitigation of dust explosions in the process industries: A survey of recent research and development. Journal of Loss Prevention in the Process Industries, 9 (1), 3-20.
 Yuan, Z., Khakzad, N., Khan, F., Amyotte, P., Reniers, G. (2013). Risk-based design of safety measures to prevent and mitigate dust explosion hazards. Industrial & Engineering Chemistry Research, 52 (50), 18095-18108.
 Murillo, C., Dufand, O., Bardin-Monnier, N., Lopez, O., Munoz, F., Perrin, L. (2013). Dust explosions: CFD modeling as a tool to characterize the relevant parameters of the dust dispersion. Chemical Engineering Science, 104, 103-116.
 Federici, G., Skinner, C.H., Brooks, J.N. et al. (2001). Plasma-material interactions in current tokamaks and their implications for next step fusion reactors. Nuclear Fusion, 41 (12), 1967.
 Poggi, L.A., Gaudio, P., Rossi, R., Ciparisse, J.F., Malizia, A. (2017). Non-invasive assessment of dust concentration and relative dustiness in a dust cloud mobilized by a controlled air inlet inside STARDUSTU facility. Reliability Engineering and System Safety, 167, 527-535.
 Rossi, R., Malizia, A., Poggi, L.A., Ciparisse, J.-F., Peluso, E., Gaudio, P. (2016). Flow motion and dust tracking software for PIV and dust PTV. Journal of Failure Analysis and Prevention, 16 (6), 951-962.
 Camplani, M., Malizia, A., Gelfusa, M. et al. (2016). Image computing techniques to extrapolate data for dust tracking in case of an experimental accident simulation in a nuclear fusion plant. Review of Scientific Instruments, 87 (1), 013504.
 Poggi, L.A., Malizia, A., Ciparisse, J.F. et al. (2016). STARDUST-U experiments on fluid-dynamic conditions affecting dust mobilization during LOVAs. Journal of Instrumentation, 11 (7), C07012.
 Malizia, A., Poggi, L.A., Ciparisse, J.-F., Rossi, R., Bellecci, C., Gaudio, P. (2016). A review of dangerous dust in fusion reactors: From its creation to its resuspension in case of LOCA and LOVA. Energies, 9 (8), 578.
 Poggi, L.A., Malizia, A., Ciparisse, J.F., Gelfusa, M., Murari, A., Pierdiluca, S., Lo Re, E., Gaudio, P. (2015). First experimental campaign to demonstrate STARDUST-upgrade facility diagnostics capability to investigate LOVA conditions. Journal of Fusion Energy, 34 (6), 1320-1330.
 Gaudio, P., Malizia, A., Lupelli, I. (2010). Experimental and numerical analysis of dust resuspension for supporting chemical and radiological risk assessment in a nuclear fusion device. In International Conference on Mathematical Models for Engineering Science, 134-147.
 Malizia, A., Poggi, L.A., Ciparisse, J.-F., Rossi, R., Bellecci, C., Gaudio, P. (2016). A review of dangerous dust in fusion reactors: From its creation to its resuspension in case of LOCA and LOVA. Energies, 9(8).
 Rossi, R., Gaudio, P., Poggi, L.A., Peluso, E., Malizia, A. (2018). Imaging of dust re-suspension in case of LOVA. Fusion Engineering and Design, 126, 156-159.
 Weiner, J., Ho, P.T. (2003). Light-Matter Interaction: Fundamental and Applications, Volume 1. Wiley.
 D’Ausilio, A. (2012). Arduino: A low-cost multipurpose lab equipment. Behavior Research Methods, 44 (2), 305-313.
 Joint Committee for Guides in Metrology (JCGM). (2008). Evaluation of measurement data - Guide to the expression of error in measurement. JCGM 100:2008 (Gum 1995 with minor corrections).