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Intelligent system of digital luminance meters and luminance calibrators in IoT - SILUM

Research contract funded by UEFISCDI type PN-III-P2-2.1-CI-2018-1287, No. 219CI / 2018

Co-financing: SC ELBA COM SA Timișoara

Project duration: between July 25, 2018 and December 28, 2018.

Report to December 15, 2019

Project team:

  • Phd. Cătălin Daniel Gălățanu, professor at "Gheorghe Asachi" Technical University of Iaşi
  • Phd. Cristian Gyozo Haba, professor at "Gheorghe Asachi" Technical University of Iaşi
  • Phd. Liviu Breniuc, professor at "Gheorghe Asachi" Technical University of Iaşi
  • Phd. Iulian Gherasim, lecturer at "Gheorghe Asachi" Technical University of Iaşi

Results:

  • Number of patent applications filed: 3, at December 2019

Published papers:

  1. Gălățanu, Cătălin-Daniel; Haba, Cristian-Gyozo; Petrișor, Daniel; Breniuc, Liviu; Imaging Measurements for Public Lighting Predictive Maintenance, 11th international symposium on advanced topics in electrical engineering (ATEE), WOS:000475904500067 , 2019
  2. Breniuc, Liviu; Haba, Cristian-Gyozo; Gălățanu, Cătălin-Daniel; et al., Correlated Color Temperature Measuring and Adjustment System, 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE),WOS:000475904500083, 2019
  3. Haba, Cristian-Gyozo; Breniuc, Liviu; Gălățanu, Cătălin-Daniel; et al., IoT System for Implementation of Connected Lighting, 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE), WOS:000475904500171, 2019
  4. Rusu, Alexandru Viorel; Lucache, Dorin Dumitru; Gălățanu, Cătălin-Daniel; Calculation of Energy Economy by Dimming LED Lamps With Maximum Performance, IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Genoa, IEEE, DOI: 10.1109/EEEIC. 2019.8783214 și urmează indexarea WOS, 2019
  5. Gălățanu, Cătălin-Daniel; Husch, Mihai; Canale, Laurent; Targeting the Light Pollution: A Study Case, 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Genoa, DOI: 10.1109/EEEIC.2019.8783515, și urmează indexarea WOS, 2019
  6. Petrișor, Daniel; Gălățanu, Cătălin-Daniel; Haba, Cristian-Gyozo; Color Quality Measurements of LED Light Sources Using Image Processing, 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), DOI: 10.1109/EEEIC.2019.8783310 și urmează indexarea WOS, 2019
  7. Rusu, Alexandru Viorel; Lucache, Dorin Dumitru; Livint, Gheorghe; Gălățanu, Cătălin-Daniel; Study on Illuminance Class Selection in Street Lighting Design, 8th International Conference on Modern Power Systems (MPS), DOI: 10.1109/MPS.2019. 8759788 și urmează indexarea WOS, 2019

The principle of the method of imaging luminance measurement

Digital imaging luminance meter is a measuring instrument based on a CANON 4000D digital camera, which is calibrated to measure luminances. The measurement steps are as follows, starting from the location image, Fig.1:

Fig.1 – Image of the location in the project for which the luminance measurement is desired

Based on the exposure settings (exposure time T, ISO sensitivity, aperture N), the luminance map is calculated in the software dedicated to the application, in cd/sqm, as in Fig. 2:

Fig.2 - Luminance map (cd/sqm) of the scene, for road lighting

Another stage in data processing is the display of the longitudinal profile of the luminances, respectively along the line A-B in Fig.1. This requirement is specific to the standard for designing and measuring the performance of street lighting systems, EN 13201. The luminance profile in Fig.3 results.:

Fig.3 - The longitudinal profile of the luminescences, on the line A-B from Fig.1

For data processing an original software is used, made by the Project Team for this topic, which runs independently (does not require very expensive resident programs, such as MATLAB) nor does it require programming knowledge, corresponding to Fig.4:

Fig.4 – Software interface specialized in luminance imaging measurement

The interface requires entering the data with which the exposure was made, and the luminance values and distribution are obtained immediately, so that if the exposure values are not correct (too many null or saturated values), then the exposure parameters can be changed immediately and another image is acquired.

The main results:

  • Design and prototype of an integrated system (microprocessor) for calibration of luminance measurement.
  • Calibration of a digital camera to measure luminance.
  • Dedicated software for luminance imaging measurement.