A solar silicon wafer bearing basket real-time monitoring system based on an internet of things

The real-time monitoring system for flower baskets supported by solar silicon wafers, which utilizes IoT technology and multi-source data fusion analysis, solves the problem of insufficient monitoring of single parameters in existing technologies. It enables refined monitoring and dynamic risk assessment of the entire life cycle of the flower baskets, improving the accuracy of monitoring results and early warning capabilities.

CN122431275APending Publication Date: 2026-07-21JIANGSU LINYUAN PRECISION MACHINERY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JIANGSU LINYUAN PRECISION MACHINERY CO LTD
Filing Date
2026-04-20
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing monitoring systems for solar silicon wafers supporting flower baskets mostly focus on monitoring single parameters and lack the ability to integrate and analyze multi-source data. They cannot combine structural response characteristics with historical process data for comprehensive evaluation, resulting in insufficient accuracy of monitoring results and early warning capabilities, and thus failing to meet usage requirements.

Method used

Design an IoT-based real-time monitoring system for solar silicon wafer-supported flower baskets. Through identification and documentation modules, process acquisition modules, excitation application modules, response acquisition modules, parameter inversion modules, damage calculation modules, threshold generation modules, and early warning output modules, the system realizes full life cycle monitoring and dynamic risk assessment of the flower baskets. By combining parameters such as local stiffness, off-center loading, and instability trend for coupled analysis, the system generates dynamic risk assessment thresholds adapted to the current service status and outputs the abnormal location and risk level of the basket.

Benefits of technology

It enables refined monitoring of the load-bearing flower baskets, allowing for early detection of potential local stiffness attenuation, eccentric load deformation, and local instability. This improves the accuracy and consistency of early warning results, avoids the judgment bias of fixed thresholds, and enhances the continuity and adaptability of the monitoring system.

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Abstract

The application discloses a solar silicon wafer bearing basket real-time monitoring system based on an internet of things, and relates to the technical field of solar silicon wafer production equipment monitoring. The system comprises an identification filing module, which is used for configuring a unique identity for a bearing basket and establishing a full-life-cycle monitoring file corresponding to the bearing basket; and a process collection module, which is used for collecting process event data of the bearing basket in the processes of loading, carrying, buffering, cleaning and unloading, and writing the process event data into a corresponding process memory chain in chronological order. The application relates to the technical field of solar silicon wafer production equipment monitoring. The solar silicon wafer bearing basket real-time monitoring system based on the internet of things can realize fine identification of abnormal areas and slot-level position output by locally inverting parameters of each container groove area and comparing real-time bearing state parameters with dynamic risk judgment thresholds of corresponding areas point by point, and can discover local stiffness attenuation, partial load deformation and local instability hazards earlier compared with an integral basket-level coarse-grained judgment mode.
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