Virtual experiment for near-field goniophotometric measurements

Schmähling, Franko; Wübbeler, Gerd; López, Marco; Gassmann, Frank; Schmidt, Franz; Sperling, Armin; Elster, Clemens

doi:10.1364/ao.53.001481

Cited by 13 publications

(7 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This structure and measurement setup would resemble near‐field goniophotometer devices (goniophotometers not constrained by the minimum distance requirement), providing luminance data instead of luminous intensity (Ashdown, 1993), while the measurement of horizontal illuminance would still require a separate photodiode. The use of imaging luminance measurement for the directional characterization of light sources (Ashdown, 1993) has not yet been standardized; its development sped up over the past decade (López et al, 2012; Schmähling et al, 2014). An ILMD could make the device suitable for the direct evaluation of roadway lighting installations and simplify the other measurements, along with enabling the measurement of further parameters (Simonot et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

A drone‐based photometric measurement platform

Pizág

Kacz

Nagy

2022

Journal of Field Robotics

View full text Add to dashboard Cite

The measurement and characterization of luminaires and lighting scenes is an important part of their design and evaluation process. These measurements often rely on special equipment and generally require manual labor. Our study investigates the possibility of automated lighting measurement using drones, a solution that is gaining popularity in various industrial applications. More precisely, we investigate the possibility of automating illuminance mapping and directional luminous intensity measurement. For this purpose, we present simple models to evaluate the effect of positioning errors on the measurements' performance. Based on these models, we outline the limitations of similar systems, why the lower hollow cone (~10–45°) is ideal for the measurement, and that major uncertainties arise at the height of the luminaire and directly underneath (or above) it. We compare the results to a proof‐of‐concept prototype device built using commercially available components, experimentally demonstrating our findings. Finally, based on the experiments, we provide guidelines and recommendations for the development of a device capable of in‐situ photometric measurement of luminaires.

show abstract

Section: Discussionmentioning

confidence: 99%

A drone‐based photometric measurement platform

Pizág

Kacz

Nagy

2022

Journal of Field Robotics

View full text Add to dashboard Cite

show abstract

“…Differences between the luminous intensity distributions obtained from the simulation with the use of the "rayfile" model and the results of laboratory measurements for the analyzed examples do not exceed 3% (Table 2). However, such systems are very sensitive to the quality of equipment used for measurements and analyses [26]. So far, the author of this paper has not met any scientific publication which presents detailed research for the complex collimator systems (Fig.…”

Section: Design and Simulation Problems In Lens Systemsmentioning

confidence: 99%

Bulletin of the Polish Academy of Sciences: Technical Sciences

Słomiński¹

2019

View full text Add to dashboard Cite

Designing, optimizing and analyzing optical systems as part of the implementation process into production of modern luminaires require using advanced simulation and computational methods. The progressive miniaturization of LED (light emitting diode) chips and growth in maximum luminance values, achieving up to 10 8 cd/m 2 , require constructing very accurate geometries of reflector and lens systems producing complex luminous intensity distributions while reducing discomfort glare levels. Currently, the design process cannot function without advanced simulation methods. Today's simulation methods in the lighting technology offer very good results as far as relatively large conventional light sources such as halogen lamps, metal halide lamps and high pressure sodium lamps are concerned. Unfortunately, they often fail in the case of chip-on-board LED light sources whose luminous surface dimensions are increasingly often contained inside a cube of the side length below 1mm. With the high sensitivity of such small chips and lenses with dimensions ranging from a just a few to between 10 and 20 mm, which is presented in this paper, modern luminance distribution measurement methods, luminance modelling and ray tracing methods should be used to minimize any errors arising from incorrectly projecting the design in the final physical model. Also, very importantly, focus should be directed towards reducing a chance of making a mistake while collimating the position of the light source inside the optical system. The paper presents a novel simulation calculation method enriched with an analysis of optical system sensitivity to a light source position. The results of simulation calculations are compared with the results of laboratory measurements for corresponding systems.

show abstract

“…Some further examples relating to the application of the difference measures proposed can be found in the literature. [9][10][11]…”

Section: Evaluation Of Goniophotometers Throughmentioning

confidence: 99%

Comparison of luminous intensity distributions

Gassmann¹,

Krueger²,

Bergen³

et al. 2016

Lighting Research & Technology

View full text Add to dashboard Cite

Luminous intensity distributions enable an evaluation of the spatial radiation characteristic of a light source. This radiation characteristic is determined by the structural properties of the light source, its operating parameters and the properties of the measuring system. This paper describes some possible methods and rules for comparing luminous intensity distributions. The focus is on the development of calculation rules for quantifying the differences between two luminous intensity distributions. The difference measures developed allow the user to establish an objective comparison between luminous intensity distributions, this comparison being completely independent of the measuring system, the properties of the luminous intensity distributions and the users themselves. Further, the dependence of the properties of luminous intensity distributions resulting from measurement practice, such as adjustment uncertainties, regions that cannot be covered or measured, deviations of the total luminous flux, data noise and resolution differences, are discussed, and appropriate pre-processing and correction steps proposed. In addition, various visualisations of the differences between two luminous intensity distributions are demonstrated and the functionality of the difference measures developed is documented.

show abstract

Virtual experiment for near-field goniophotometric measurements

Cited by 13 publications

References 24 publications

A drone‐based photometric measurement platform

A drone‐based photometric measurement platform

Bulletin of the Polish Academy of Sciences: Technical Sciences

Comparison of luminous intensity distributions

Contact Info

Product

Resources

About