Low energy consumption method based on multi-objective PSO for illumination distribution optimization

Cheng Lu, Haitao Xiao, Harutoshi Ogai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Due to the rapid development of intelligent lighting technologies, those intelligences, just like smooth dimming control, communication and networking, lumen control, predictive failure and maintenance, daylight harvesting, etc., which offers us a opportunity to incorporate non-traditional capabilities into our lighting design and makes the intelligent lighting solutions more attractive. Nowadays, in many special situations in designing of intelligent lighting systems(meticulous detection in specified area, occupancy sensing and lighting in office, etc.), saving energy and offering a accurate, stable illumination on a fixed range of area at the same time becomes a charming challenge for designers and researchers. In this paper, we provide a low energy consumption method by using MPSO algorithm and simple illumination calculation method, to simulate the optimized illumination distribution results on a specified space in virtual scene.

Original languageEnglish
Title of host publication2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages338-342
Number of pages5
Volume2017-November
ISBN (Electronic)9784907764579
DOIs
Publication statusPublished - 2017 Nov 10
Event56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 - Kanazawa, Japan
Duration: 2017 Sep 192017 Sep 22

Other

Other56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
CountryJapan
CityKanazawa
Period17/9/1917/9/22

Keywords

  • illumination distribution
  • intelligent lighting
  • multi-objective optimization
  • particle swarm optimization

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Control and Systems Engineering
  • Instrumentation

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  • Cite this

    Lu, C., Xiao, H., & Ogai, H. (2017). Low energy consumption method based on multi-objective PSO for illumination distribution optimization. In 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 (Vol. 2017-November, pp. 338-342). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/SICE.2017.8105740