摘要
随着工业4.0的推进，自动化生产线对高精度、实时性检测技术的需求日益增长，激光测距传感器因其卓越的测量性能和适应性成为关键解决方案之一本文旨在探讨激光测距传感器在自动化生产线中的应用潜力及其优化策略研究基于当前传感器技术的发展背景，结合实际生产需求，提出了一种集成多源数据融合与智能算法的激光测距系统设计方法通过实验验证，该系统能够在复杂工况下实现亚毫米级的测量精度，并显著提升生产线的效率与稳定性创新点在于将深度学习算法引入传感器数据处理流程，有效解决了传统方法中噪声干扰和目标识别准确率低的问题此外，研究还开发了一套适用于动态环境的自校准机制，进一步增强了系统的鲁棒性和适用范围结果表明，所提出的方案能够满足现代工业对高精度、智能化检测的要求，为自动化生产线的技术升级提供了重要参考结论认为，激光测距传感器结合先进算法的综合应用，将在未来智能制造领域发挥更加重要的作用
关键词：激光测距传感器；多源数据融合；深度学习算法；自校准机制；亚毫米级测量精度
Abstract
With the advancement of Industry 4.0, the demand for high-precision and real-time inspection technologies in automated production lines is growing rapidly, and laser rangefinding sensors have emerged as one of the key solutions due to their superior measurement performance and adaptability. This study aims to explore the application potential of laser rangefinding sensors in automated production lines and propose optimization strategies. Based on the current development background of sensor technology and in conjunction with practical production requirements, a design method for a laser rangefinding system integrating multi-source data fusion and intelligent algorithms is presented. Experimental validation demonstrates that this system can achieve sub-millimeter measurement accuracy under complex operating conditions while significantly enhancing the efficiency and stability of production lines. The innovation lies in the integration of deep learning algorithms into the sensor data processing workflow, effectively addressing issues of noise interference and low target recognition accuracy prevalent in traditional methods. Additionally, a self-calibration mechanism suitable for dynamic environments has been developed, further strengthening the robustness and applicability of the system. Results indicate that the proposed solution meets the modern industrial demands for high-precision and intelligent inspection, providing significant reference for the technological upgrading of automated production lines. It is concluded that the comprehensive application of laser rangefinding sensors combined with advanced algorithms will play an increasingly important role in the field of future smart manufacturing.
Keywords：Laser Ranging Sensor; Multi-Source Data Fusion; Deep Learning Algorithm; Self-Calibration Mechanism; Sub-Millimeter Measurement Accuracy
目 录
摘要 I
Abstract II
一、绪论 1
(一) 激光测距传感器应用背景与意义 1
(二) 国内外研究现状分析 1
(三) 本文研究方法与技术路线 2
二、激光测距传感器原理及选型分析 2
(一) 激光测距传感器工作原理 2
(二) 自动化生产线对传感器的需求 3
(三) 传感器选型关键参数分析 3
三、激光测距传感器在生产线中的功能实现 4
(一) 物体位置检测与精度优化 4
(二) 生产线动态监控方案设计 4
(三) 数据采集与处理技术研究 5
四、应用案例与性能评估 6
(一) 实际生产线中的部署方案 6
(二) 测量精度与稳定性测试分析 6
(三) 系统效率提升效果评估 7
结 论 9
参考文献 10
