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基于双通道红外反射式的烟支空头缺陷检测方法研究

Research on Detection Method for Cigarette Loose End Defects Based on Dual-Channel Infrared Reflection

  • 摘要: 摘要:针对卷烟生产中红外空头检测器无法同时兼顾“小空头”与“大空头”缺陷的行业痛点,本文提出一种基于单光源调制解调的双通道红外反射式检测方法。该方法使用单一红外发射器发出调制红外光均匀照亮烟支端面,通过两组接收器分别聚焦浅层(0-4mm)与深层(4-8mm)视场,并采用锁相放大技术对两路反射信号进行频率解调,实现光学共用、电学分离的双通道检测。通道一保留传统检测逻辑,确保“小空头”检出精度;通道二采用阈值加与通道一值比较的判定方法,有效识别“中度大空头”与“严重大空头”。两通道信号经独立阈值判定后通过逻辑“或”输出最终剔除指令。文中详细阐述了系统的光机结构、调制解调信号处理流程及缺陷判定逻辑。为验证方案有效性,设计了一种基于双传感器拆解重组的原理验证实验,通过对不同缺陷类型烟支的静态电压信号测量,证明该方法可在不降低“小空头”检出率的前提下,将中度大空头检出率由34%提升至94%,严重大空头检出率由0%提升至78%。

     

    Abstract: Abstract: To address the industry pain point that infrared void detectors in cigarette production cannot simultaneously detect both "small voids" and "large voids", this paper proposes a dual-channel infrared reflection detection method based on single-source modulation and demodulation. The method uses a single infrared emitter to emit modulated infrared light to uniformly illuminate the cigarette end face. Two sets of receivers are used to focus on the shallow field of view (0–4 mm) and the deep field of view (4–8 mm), respectively, and lock-in amplification technology is employed to frequency-demodulate the two reflected signals, achieving dual-channel detection with shared optics and separate electronics. Channel 1 retains the traditional detection logic to ensure the detection accuracy of small voids. Channel 2 adopts a judgment method combining a threshold and a comparison with the value of Channel 1, effectively identifying moderate large voids and severe large voids. After independent threshold judgments, the two channel signals generate a final rejection command through a logical "OR" operation. The paper elaborates on the optomechanical structure, modulation-demodulation signal processing flow, and defect determination logic. To validate the effectiveness of the proposed scheme, a proof-of-principle experiment based on dual-sensor disassembly and reassembly was designed. By measuring static voltage signals of cigarettes with different defect types, it is demonstrated that this method can increase the detection rate of moderate large voids from 34% to 94% and that of severe large voids from 0% to 78%, without reducing the detection rate of small voids.

     

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