摘 要
随着智能装备的快速发展，传感器网络作为其核心组成部分，在数据采集、状态监测和决策支持中发挥着关键作用。然而，传感器网络的布局与优化问题直接影响系统的性能与效率，因此亟需深入研究以满足复杂应用场景的需求。本研究旨在探索智能装备中传感器网络的合理布局策略及其优化方法，通过结合实际需求与理论分析，提出了一种基于多目标优化算法的布局设计框架。该框架综合考虑了覆盖范围、能耗分布、通信效率及冗余配置等关键因素，并引入改进的遗传算法以解决布局优化中的非线性与多约束问题。研究结果表明，所提出的优化方法能够显著提升传感器网络的覆盖率与稳定性，同时降低整体能耗，为智能装备的实际应用提供了可靠的技术支撑。此外，本研究还针对动态环境下的网络调整提出了自适应优化策略，进一步增强了系统的灵活性与鲁棒性。总体而言，本研究不仅为传感器网络的布局设计提供了新的思路，还为智能装备的高效运行奠定了重要基础，其创新点在于将多目标优化与自适应调整相结合，从而实现了性能与成本之间的最佳平衡。
关键词：传感器网络布局；多目标优化；遗传算法
Abstract: With the rapid development of intelligent equipment, sensor networks, as a core component, play a crucial role in data acquisition, status monitoring, and decision support. However, the layout and optimization of sensor networks directly affect the performance and efficiency of the system, thus requiring in-depth research to meet the demands of complex application scenarios. This study focuses on exploring reasonable layout strategies and optimization methods for sensor networks in intelligent equipment. By integrating practical requirements with theoretical analysis, a layout design fr amework based on multi-ob jective optimization algorithms is proposed. This fr amework comprehensively considers key factors such as coverage range, energy consumption distribution, communication efficiency, and redundant configuration, while incorporating an improved genetic algorithm to address the nonlinearity and multiple constraints in layout optimization. The results indicate that the proposed optimization method significantly enhances the coverage and stability of sensor networks while reducing overall energy consumption, providing reliable technical support for the practical application of intelligent equipment. Furthermore, this study proposes an adaptive optimization strategy for network adjustment in dynamic environments, thereby enhancing the flexibility and robustness of the system. Overall, this research not only offers new insights into the layout design of sensor networks but also lays an important foundation for the efficient operation of intelligent equipment. Its innovation lies in combining multi-ob jective optimization with adaptive adjustment, achieving the optimal balance between performance and cost.
Keywords: Sensor Network Layout; Multi-ob jective Optimization; Genetic Algorithm
目 录
1绪论 1
1.1智能装备中传感器网络的研究背景 1
1.2传感器网络布局与优化的意义 1
1.3国内外研究现状分析 1
1.4本文研究方法与技术路线 2
2传感器网络布局的基础理论与方法 2
2.1智能装备中传感器网络的特性分析 2
2.2布局设计的基本原则与约束条件 3
2.3关键算法在布局中的应用研究 3
2.4布局优化的数学模型构建 4
2.5理论基础对实际应用的指导意义 4
3传感器网络布局的优化策略研究 5
3.1基于能耗的布局优化策略 5
3.2覆盖率与冗余度的平衡优化 5
3.3动态环境下的自适应布局调整 6
3.4多目标优化在布局中的实现方法 6
3.5实验验证与结果分析 7
4智能装备中传感器网络的实际应用与案例分析 7
4.1工业场景中的传感器网络布局实践 7
4.2数据采集与传输效率的优化研究 8
4.3故障检测与系统可靠性提升策略 8
4.4实际应用中的问题与解决方案探讨 9
4.5应用案例总结与经验提炼 9
结论 11
参考文献 12
致 谢 13
