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Characterization of Indoor Light Conditions by Light Source Classification
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för elektronikkonstruktion.
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för elektronikkonstruktion.ORCID-id: 0000-0002-8382-0359
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för elektronikkonstruktion.
2017 (engelsk)Inngår i: IEEE Sensors Journal, ISSN 1530-437X, E-ISSN 1558-1748, Vol. 17, nr 12, s. 3884-3891, artikkel-id 7914682Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The characterization of light conditions plays an important role in the estimation of available energy levels to ambient light energy harvesting systems. Indoor light conditions are commonly described by illuminance levels. The same illuminance levels, however, can be generated by different light source types, which radiate different spectral components. This means that based on their spectral response, solar panels can produce different output powers even though identical illuminance levels are observed. We propose a method to distinguish these conditions based on limited spectral information. Using low-cost sensors, spectral characteristics of the light condition can be acquired and used to classify the underlying light source type, which allows for a more accurate estimation of the solar panel response. The method was evaluated experimentally for a number of common indoor light sources and under different conditions. Evaluation results have shown that the method can be used to distinguish the light sources under test with very high classification accuracy. Moreover, the method can be used accurately in situations with limited interference. This makes it a low-cost alternative to the characterization of light conditions using spectrometers, the use of which is infeasible in spatially distributed characterization applications.

sted, utgiver, år, opplag, sider
2017. Vol. 17, nr 12, s. 3884-3891, artikkel-id 7914682
Emneord [en]
Energy harvesting, sensor systems, ambient light characterization, classification algorithms
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Identifikatorer
URN: urn:nbn:se:miun:diva-31344DOI: 10.1109/JSEN.2017.2699330ISI: 000402123400032Scopus ID: 2-s2.0-85021728867OAI: oai:DiVA.org:miun-31344DiVA, id: diva2:1130085
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SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)Tilgjengelig fra: 2017-08-08 Laget: 2017-08-08 Sist oppdatert: 2019-06-13bibliografisk kontrollert

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