Lijun Bao;Bingsen Chen;Li Chen;Jintao Chen;Peng Zhuang;Guolong Chen;Zhong Chen;Lihong Zhu;Yijun Lu
{"title":"Multichannel Goniospectrometer System for Near-Field and Far-Field Light Spatial Distribution","authors":"Lijun Bao;Bingsen Chen;Li Chen;Jintao Chen;Peng Zhuang;Guolong Chen;Zhong Chen;Lihong Zhu;Yijun Lu","doi":"10.1109/TIM.2025.3544703","DOIUrl":null,"url":null,"abstract":"The spatial distribution of light sources plays an important role for the secondary optical design of luminaires. Existing spatial detection methods suffer limitations such as large volume, slow speed, and low flexibility. In this work, we proposed a compact size, multichannel spatial spectral distribution detection system for light sources, compatible with both near- and far-fields. Sixteen-channel optical fibers with pulley blocks mounted on double U-shaped tracks enable multiple points highly efficient detection of spatial irradiance distribution of light sources. With spectrum-based Monte Carlo ray-tracing algorithm, the far-field spectral and spatial distribution at arbitrary distances, along with detailed photometric and colorimetric parameters, are derived for both spherical- and planar-receiving surface scenes. Compared with reference systems, series of experiments are conducted with six types of light-emitting diode (LED) samples, from LED chip to street lamp, to validate the accuracy, consistency, and flexibility of the proposed system, and satisfactory results are gained. Overall, the proposed system is characterized by compact size, high speed, flexibility, and compatibility for various light sources and scenarios.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-7"},"PeriodicalIF":5.6000,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Instrumentation and Measurement","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10900555/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
The spatial distribution of light sources plays an important role for the secondary optical design of luminaires. Existing spatial detection methods suffer limitations such as large volume, slow speed, and low flexibility. In this work, we proposed a compact size, multichannel spatial spectral distribution detection system for light sources, compatible with both near- and far-fields. Sixteen-channel optical fibers with pulley blocks mounted on double U-shaped tracks enable multiple points highly efficient detection of spatial irradiance distribution of light sources. With spectrum-based Monte Carlo ray-tracing algorithm, the far-field spectral and spatial distribution at arbitrary distances, along with detailed photometric and colorimetric parameters, are derived for both spherical- and planar-receiving surface scenes. Compared with reference systems, series of experiments are conducted with six types of light-emitting diode (LED) samples, from LED chip to street lamp, to validate the accuracy, consistency, and flexibility of the proposed system, and satisfactory results are gained. Overall, the proposed system is characterized by compact size, high speed, flexibility, and compatibility for various light sources and scenarios.
期刊介绍:
Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.