Tobacco farm machine whole life cycle operation and maintenance monitoring method and system

By collecting and analyzing the acceleration and rotation speed signals of tobacco agricultural machinery, a nonlinear path is constructed, which solves the problems of delayed early warning and insufficient deterioration identification in traditional operation and maintenance monitoring, and achieves more precise operation and maintenance management.

CN122288331APending Publication Date: 2026-06-26SICHUAN BRANCH OF CHINA TOBACCO
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SICHUAN BRANCH OF CHINA TOBACCO
Filing Date
2026-05-28
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Traditional methods for monitoring the entire lifecycle of tobacco agricultural machinery rely on static data such as operating time, mileage, and fuel consumption. These data are difficult to correlate with load fluctuations and vibration anomalies, resulting in delayed early warnings, rough maintenance criteria, and insufficient identification of component deterioration trends, thus affecting management accuracy.

Method used

By collecting analog voltage and engine speed pulse signals from the accelerometer, initial operating data is generated. Combined with preset fixed mileage step size and load intensity threshold, a nonlinear path is constructed to identify high load ranges and extract fatigue status throughout the entire life cycle, and operation and maintenance monitoring instructions are output.

Benefits of technology

It enables continuous monitoring of changes in the operating status of tobacco agricultural machinery, improves the relevance of operation and maintenance early warnings and the accuracy of degradation identification, and enhances the precision of full life cycle management.

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Abstract

This invention relates to the field of industrial data processing technology, specifically to a method and system for monitoring the entire lifecycle of tobacco agricultural machinery. The method includes the following steps: collecting acceleration, simulated voltage, and rotational speed pulses and calculating vibration amplitude and rotational speed; aligning mileage by time to generate operational data; truncating data at fixed mileage intervals to form interval characteristics and calculating density peaks; converting topology data elements in high-load intervals to generate nonlinear paths; identifying abrupt changes through window counting and density gradient difference; truncating to form operational intervals and outputting maintenance warning commands. In this invention, traditional operation and maintenance monitoring focuses on operational time, mileage, fuel consumption, and maintenance record archiving. Data is mostly periodically entered and statically classified, making it difficult to correlate load fluctuations, vibration anomalies, and rotational speed changes. Maintenance judgments rely on maintenance cycles and fault statistics, easily overlooking fatigue accumulation in high-intensity intervals, resulting in delayed warnings, coarse maintenance criteria, and insufficient identification of deterioration trends.
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