摘要
智能制造作为新一轮工业革命的核心驱动力，对生产过程的智能化、数字化提出了更高要求，而智能传感器作为关键感知技术，在其中扮演着不可或缺的角色本文以智能传感器在智能制造中的集成与应用为研究对象，旨在探讨其技术实现路径及实际应用效果通过分析智能传感器的功能特性及其与工业互联网、大数据和人工智能等技术的融合机制，提出了一种基于多源数据协同的智能传感集成框架该框架能够有效解决传统制造系统中信息孤岛问题，并显著提升数据采集精度与实时性实验结果表明，所提出的集成方案在复杂工况下的适应性较强，能够准确捕捉生产过程中的动态变化，从而为智能决策提供可靠依据此外，本文还结合具体应用场景，验证了智能传感器在质量监测、设备健康管理及工艺优化等方面的突出优势研究表明，智能传感器的应用不仅大幅提高了生产效率和产品质量，还推动了制造模式向柔性化、网络化方向转型总体而言，本文的研究创新性地提出了一种适用于智能制造环境的智能传感集成方法，为相关技术的实际部署提供了理论支持与实践参考
关键词：智能制造；智能传感器；多源数据协同；工业互联网；智能决策
Abstract
As the core driving force of the new round of industrial revolution, smart manufacturing imposes higher requirements on the intelligence and digitization of production processes. In this context, intelligent sensors, as a key perception technology, play an indispensable role. This paper focuses on the integration and application of intelligent sensors in smart manufacturing, aiming to explore their technical implementation paths and practical application effects. By analyzing the functional characteristics of intelligent sensors and their fusion mechanisms with technologies such as industrial internet, big data, and artificial intelligence, a multi-source data collaboration-based intelligent sensing integration fr amework is proposed. This fr amework effectively addresses the issue of information silos in traditional manufacturing systems while significantly enhancing the accuracy and real-time performance of data acquisition. Experimental results indicate that the proposed integration scheme demonstrates strong adaptability under complex operating conditions and can accurately capture dynamic changes in the production process, thereby providing a reliable basis for intelligent decision-making. Furthermore, this paper verifies the prominent advantages of intelligent sensors in specific application scenarios, including quality monitoring, equipment health management, and process optimization. Research findings show that the application of intelligent sensors not only substantially improves production efficiency and product quality but also promotes the transformation of manufacturing models towards flexibility and networking. Overall, this study innovatively proposes an intelligent sensing integration method suitable for smart manufacturing environments, offering theoretical support and practical references for the deployment of related technologies.
Keywords：Intelligent Manufacturing; Smart Sensor; Multi-source Data Collaboration; Industrial Internet; Intelligent Decision-making
目 录
摘要 I
Abstract II
一、绪论 1
(一) 智能传感器与智能制造的背景分析 1
(二) 研究现状与发展趋势探讨 1
(三) 本文研究方法与技术路线 2
二、智能传感器的关键技术分析 2
(一) 数据采集与信号处理技术 2
(二) 无线通信与网络集成技术 3
(三) 自适应算法与智能感知技术 3
(四) 技术挑战与优化方向 4
三、智能传感器在智能制造中的功能实现 4
(一) 实时监测与数据反馈机制 4
(二) 质量控制与异常检测应用 5
(三) 设备状态评估与预测性维护 5
(四) 功能扩展与多场景适配 6
四、智能传感器集成策略与系统设计 6
(一) 集成框架与架构设计 6
(二) 多传感器协同与数据融合 7
(三) 系统可靠性与安全性保障 7
(四) 实际案例分析与效果评价 8
结 论 9
参考文献 10
