Perovskite thin film quality management and control system integrating optical detection and data analysis

By integrating optical inspection and data analysis, the perovskite thin film quality control system solves the problems of misjudgment and missed detection caused by film thickness fluctuations in perovskite thin film inspection by using dynamic reference light intensity curves and nonlinear defect indices, thus achieving efficient quality assessment and production line stability.

CN121384976AActive Publication Date: 2026-01-23WUXI ZHONGNENG OPTICAL STORAGE TECH CO LTD
5 Cites 1 Cited by

Patent Information

Application Number
CN202511983871.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-26
Publication Date
2026-01-23
Estimated Expiration
2045-12-26

AI Technical Summary

Technical Problem

Existing photoluminescence detection technology for perovskite thin films suffers from misjudgments and missed detections due to film thickness fluctuations, failing to accurately reflect crystal quality and impacting production yield and cost.

Method used

The perovskite thin film quality control system, which integrates optical inspection and data analysis, utilizes modules for data acquisition and preprocessing, dynamic benchmark construction, defect index calculation, and defect analysis and control to construct dynamic benchmark light intensity curves and nonlinear defect severity indices, thereby eliminating film thickness interference and improving inspection accuracy.

Benefits of technology

It enables accurate assessment of perovskite film quality, reduces misjudgment rate, improves the quality control level of the production line, and ensures production stability and efficiency.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention belongs to the technical field of semiconductor material detection, and relates to a perovskite film quality management and control system integrating optical detection and data analysis, which comprises a data acquisition and preprocessing module, a dynamic reference construction module, a defect index calculation module and a defect analysis and regulation module, the method comprises the following steps: acquiring photoluminescence intensity data and reflectivity data of the surface of a perovskite thin film, performing space pixel registration and preprocessing, constructing a two-dimensional feature space, and fitting a dynamic reference light intensity curve by using a dynamic sliding window algorithm; calculating a defect severity index of each pixel point by combining a nonlinear index mapping model based on the dynamic reference light intensity curve and the actually measured photoluminescence intensity; and rendering the defect severity index into a defect distribution thermodynamic diagram, and generating a production equipment regulation and control instruction according to the defect area proportion and the distribution form. According to the method, the interference of the film thickness on the photoluminescence signal is dynamically decoupled by using a data statistics rule, and the accuracy and the production yield of perovskite film defect detection are improved.
Need to check novelty before this filing date? Find Prior Art