Recently, our company has achieved another fruitful result in its industry-university-research cooperation with China Jiliang University. The academic paper jointly researched by both parties has been successfully published in the internationally renowned journal: "Uncertainty Evaluation of Two-Dimensional Horizontal Distributed Photometric Sensor Based on MCM for Illuminance Measurement Task" in Sensors (ISSN 1424-8220).

Regarding the journal "Sensors" 
   "Sensors" is an internationally renowned authoritative academic journal in the field of sensors, published by MDPI. It is indexed by the Science Citation Index (SCI). According to the latest Journal Citation Reports (JCR), it is located in the Q2 zone of Engineering and Technology, with an impact factor of 3.9 in 2023, enjoying high academic reputation in the industry. The successful publication of this paper marks the research achievements of our company in collaboration with China Jiliang University, and its innovativeness and academic value have been recognized by international peer experts. 

Paper link: https://www.mdpi.com/1424-8220/25/15/4648

Paper Introduction 
This study addresses the uncertainty assessment issue of two-dimensional horizontal distributed photometric sensors in illuminance measurement tasks and proposes an innovative assessment scheme based on the Monte Carlo Method (MCM). Through theoretical analysis and experimental verification, the paper provides new insights for addressing measurement uncertainty in complex lighting environments, which is of great significance for enhancing the reliability and accuracy of photometric measurement technology.

Cooperation background 
The publication of this paper marks another significant achievement in our company's industry-university-research cooperation with China Jiliang University. Both parties have leveraged their respective strengths, closely integrating the practical application needs of the enterprise with the scientific research and innovation capabilities of the university, achieving an effective fusion of theoretical research and engineering practice.

Introduction to Innovation 
(1) Technological framework innovation: constructing a targeted uncertainty assessment system 

For the first time, a comprehensive framework of "uncertainty source analysis - dual-method evaluation - experimental verification" has been established for the luminance measurement task of two-dimensional horizontal distributed photometric sensors. This framework clarifies five core uncertainty sources, including luminaire installation location and environmental interference, along with their quantification methods, filling the systematic gap in uncertainty evaluation for this type of sensor. 
Propose a modular measurement scheme selection strategy, based on the installation method (dynamic angle adjustment/horizontal installation) and light intensity distribution characteristics of the tested lighting fixtures, to correspondingly select the B-β or C-γ scheme. This enhances the adaptability of the measurement system to different types of LED fill lights, breaking through the limitations of traditional fixed schemes.

(2) Method optimization and innovation: breaking through the application bottleneck of traditional evaluation methods 

Comparing and validating the applicability of the GUM and MCM methods in complex optical measurement scenarios, this study reveals the systematic bias of the GUM method under non-normal distributions (trapezoidal distributions), and proves that the MCM method, through extensive random sampling, can more accurately reflect the actual distribution of measurement data, providing a more reliable method selection basis for uncertainty evaluation of high-precision optical instruments.

Based on Python, the automated simulation calculation of the MCM method is implemented, ensuring the stability of evaluation results through 10 sample samplings. At the same time, the error distribution histogram is visually output, enhancing the intuition and repeatability of uncertainty evaluation, and reducing the technical threshold for evaluating complex models. 

(3) Application value innovation: expanding the engineering significance of uncertainty assessment 

The research results not only address the uncertainty challenge in illuminance measurement for two-dimensional horizontal distributed luminance sensors, but also provide a general reference framework for uncertainty evaluation of other high-precision optical instruments, such as imaging luminance meters and distributed luminance meters, promoting standardization in uncertainty evaluation within the field of optical metrology.

Identify the main sources of error in the measurement system (instrument indication error) and negligible factors (rotating accuracy of the turntable), providing direct guidance for optimizing sensor design (such as improving indication calibration accuracy) and reducing measurement costs (without excessively pursuing turntable accuracy) in industrial practice, thereby facilitating LED light compensation quality control and improving the efficiency of secondary optical design. 

Significance and Outlook 

  "Sensors" is an internationally renowned journal published by MDPI, primarily featuring the latest research findings in the field of sensor science and technology, and holds significant influence within the industry. The publication of this paper signifies that our company's technical prowess in the field of optoelectronic measurement has gained recognition from the international academic community.

Looking ahead, our company will take this collaboration as a new starting point. We will not only continue to deepen collaborative innovation with China Jiliang University but also actively expand industry-university-research cooperation with top domestic universities. We are committed to tackling the frontiers and pain points in the field of optoelectronic measurement, transforming more innovative achievements into industry-leading productivity, and injecting strong momentum into industrial upgrading.