Alarm reminding system and method for abnormal data of curing barn

By designing a baking room abnormal data alarm reminder system, real-time collection and intelligent analysis of baking room data is solved, and the problems of manual inspection intervals and judgment errors are achieved, efficient and accurate baking room status monitoring is achieved, and tobacco leaf quality and farmers' income are improved.

CN119690018APending Publication Date: 2025-03-25YUNNAN TOBACCO CO LTD KUNMING BRANCH
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Patent Information

Application Number
CN202411832371.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-12
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

The existing manual inspection interval is too long, especially in the evening and early morning hours, and there are errors in manual judgments, resulting in low efficiency and poor accuracy in monitoring the status of the baking room.

Method used

A baking room abnormal data alarm reminder system is designed, including data acquisition module, communication module, data analysis and processing module and alarm output module. The system collects baking room data in real time, and automatically judges data abnormalities through intelligent analysis and processing, and promptly and accurately alarms.

Benefits of technology

Through automated monitoring and alarm systems, the inspection efficiency and effect are significantly improved, the interval time of manual inspection is reduced, the error caused by manual judgment is reduced, the baking loss is avoided, and the quality of tobacco leaves and farmers' income is improved.

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Abstract

The invention relates to a curing barn abnormal data alarm reminding system and method.The system comprises a data collecting module, a communication module, a data analyzing and processing module and an alarm output module which are sequentially connected, data of all curing barn controllers are collected and processed in a centralized mode, and then the data are processed and judged in a multi-dimensional and all-dimensional mode; temperature rise prediction deviation early-warning analysis, temperature rise extreme value interval deviation early-warning analysis, stable temperature deviation early-warning analysis, stable temperature interval deviation early-warning analysis, continuous deviation early-warning analysis and stable temperature extreme value early-warning analysis are respectively carried out through different algorithms, a plurality of abnormal data are refined, alarm information is centralized through a network, and the early-warning accuracy is improved. The centralized collection alarm at the baking point effectively improves the inspection efficiency and effect, facilitates the baking loss caused by the untimely inspection of the field staff, greatly improves the alarm inspection efficiency, greatly reduces the workload of the field staff, improves the baking efficiency, reduces the baking loss, increases the income of farmers, and has a certain application prospect.
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