Uncertainty Evaluation of Two-Dimensional Horizontal Distributed Photometric Sensor Based on MCM for Illuminance Measurement Task
In response to the demand for precise measurement of illuminance distribution in the quality control of LED monitoring fill light products and the iterative direction of secondary optical design, distributed photometric sensors have shown advantages, but their measurement uncertainty assessment face...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/15/4648 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849239613752737792 |
|---|---|
| author | Jianguo Sun Yueyao Wang Yinbao Cheng Guanghu Zhu Jianwen Shao Yuebing Sha |
| author_facet | Jianguo Sun Yueyao Wang Yinbao Cheng Guanghu Zhu Jianwen Shao Yuebing Sha |
| author_sort | Jianguo Sun |
| collection | DOAJ |
| description | In response to the demand for precise measurement of illuminance distribution in the quality control of LED monitoring fill light products and the iterative direction of secondary optical design, distributed photometric sensors have shown advantages, but their measurement uncertainty assessment faces challenges. This paper addresses the problem of uncertainty evaluation in photometric parameter measurement with a two-dimensional horizontal distributed photometric sensor and proposes an uncertainty evaluation framework for this task. We have established an uncertainty analysis model for the measurement system and provided two uncertainty synthesis methods, The Guide to the Expression of Uncertainty in Measurement and the Monte Carlo method. This study designed illuminance measurement experiments to validate the feasibility of the proposed uncertainty evaluation method. The results demonstrate that the actual probability distribution of the measurement data follows a trapezoidal distribution. Furthermore, the expanded uncertainty calculated using the GUM method was 21.1% higher than that obtained by the MCM. This work effectively addresses the uncertainty evaluation challenge for illuminance measurement tasks using a two-dimensional horizontal distributed photometric sensor. The findings offer valuable reference for the uncertainty assessment of other high-precision optical instruments and possess significant engineering value in enhancing the reliability of optical metrology systems. |
| format | Article |
| id | doaj-art-cc2f91ad204940f1969051ba218dca22 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-cc2f91ad204940f1969051ba218dca222025-08-20T04:00:54ZengMDPI AGSensors1424-82202025-07-012515464810.3390/s25154648Uncertainty Evaluation of Two-Dimensional Horizontal Distributed Photometric Sensor Based on MCM for Illuminance Measurement TaskJianguo Sun0Yueyao Wang1Yinbao Cheng2Guanghu Zhu3Jianwen Shao4Yuebing Sha5College of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, ChinaCollege of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, ChinaCollege of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, ChinaHangzhou Fangqian Technology Co., Ltd., Hangzhou 310030, ChinaZhejiang Institute of Quality Sciences, Hangzhou 310018, ChinaZhejiang Institute of Quality Sciences, Hangzhou 310018, ChinaIn response to the demand for precise measurement of illuminance distribution in the quality control of LED monitoring fill light products and the iterative direction of secondary optical design, distributed photometric sensors have shown advantages, but their measurement uncertainty assessment faces challenges. This paper addresses the problem of uncertainty evaluation in photometric parameter measurement with a two-dimensional horizontal distributed photometric sensor and proposes an uncertainty evaluation framework for this task. We have established an uncertainty analysis model for the measurement system and provided two uncertainty synthesis methods, The Guide to the Expression of Uncertainty in Measurement and the Monte Carlo method. This study designed illuminance measurement experiments to validate the feasibility of the proposed uncertainty evaluation method. The results demonstrate that the actual probability distribution of the measurement data follows a trapezoidal distribution. Furthermore, the expanded uncertainty calculated using the GUM method was 21.1% higher than that obtained by the MCM. This work effectively addresses the uncertainty evaluation challenge for illuminance measurement tasks using a two-dimensional horizontal distributed photometric sensor. The findings offer valuable reference for the uncertainty assessment of other high-precision optical instruments and possess significant engineering value in enhancing the reliability of optical metrology systems.https://www.mdpi.com/1424-8220/25/15/4648distributed photometric sensorMonte Carlo methodilluminance measurementmodeling of measurement uncertainty |
| spellingShingle | Jianguo Sun Yueyao Wang Yinbao Cheng Guanghu Zhu Jianwen Shao Yuebing Sha Uncertainty Evaluation of Two-Dimensional Horizontal Distributed Photometric Sensor Based on MCM for Illuminance Measurement Task Sensors distributed photometric sensor Monte Carlo method illuminance measurement modeling of measurement uncertainty |
| title | Uncertainty Evaluation of Two-Dimensional Horizontal Distributed Photometric Sensor Based on MCM for Illuminance Measurement Task |
| title_full | Uncertainty Evaluation of Two-Dimensional Horizontal Distributed Photometric Sensor Based on MCM for Illuminance Measurement Task |
| title_fullStr | Uncertainty Evaluation of Two-Dimensional Horizontal Distributed Photometric Sensor Based on MCM for Illuminance Measurement Task |
| title_full_unstemmed | Uncertainty Evaluation of Two-Dimensional Horizontal Distributed Photometric Sensor Based on MCM for Illuminance Measurement Task |
| title_short | Uncertainty Evaluation of Two-Dimensional Horizontal Distributed Photometric Sensor Based on MCM for Illuminance Measurement Task |
| title_sort | uncertainty evaluation of two dimensional horizontal distributed photometric sensor based on mcm for illuminance measurement task |
| topic | distributed photometric sensor Monte Carlo method illuminance measurement modeling of measurement uncertainty |
| url | https://www.mdpi.com/1424-8220/25/15/4648 |
| work_keys_str_mv | AT jianguosun uncertaintyevaluationoftwodimensionalhorizontaldistributedphotometricsensorbasedonmcmforilluminancemeasurementtask AT yueyaowang uncertaintyevaluationoftwodimensionalhorizontaldistributedphotometricsensorbasedonmcmforilluminancemeasurementtask AT yinbaocheng uncertaintyevaluationoftwodimensionalhorizontaldistributedphotometricsensorbasedonmcmforilluminancemeasurementtask AT guanghuzhu uncertaintyevaluationoftwodimensionalhorizontaldistributedphotometricsensorbasedonmcmforilluminancemeasurementtask AT jianwenshao uncertaintyevaluationoftwodimensionalhorizontaldistributedphotometricsensorbasedonmcmforilluminancemeasurementtask AT yuebingsha uncertaintyevaluationoftwodimensionalhorizontaldistributedphotometricsensorbasedonmcmforilluminancemeasurementtask |