智慧高速公路服务区照明系统节能控制策略研究

Research on Energy-Saving Control Strategies for Lighting Systems in Smart Expressway Service Areas

摘要: 在智慧交通体系纵深发展的背景下，高速公路服务区照明系统的节能增效与智能化转型已成为绿色交通建设的核心议题。针对传统照明系统能耗高企、环境适应性不足等痛点，本研究依托物联网技术与智能控制理论，构建覆盖设备特性、控制逻辑及外部环境的三维影响因素分析模型，精准定位传统控制策略在数据融合效率、场景匹配精度及能效管理维度的关键短板。通过研发多源数据耦合驱动的智能控制算法，有机整合光照强度、车流量波动及时段特征等动态参数，创新提出“感知–决策–执行”三层联动节能控制架构。工程实证表明，该策略在保障照明质量达标的前提下，实现了能耗的系统性优化，为高速公路服务区低碳化改造提供了兼具理论深度与工程价值的解决方案，助力交通基础设施的绿色智能升级。

Abstract: In the context of the in-depth development of the intelligent transportation system, energy saving and efficiency enhancement, as well as the intelligent transformation of lighting systems in expressway service areas, have become core issues in green transportation construction. Addressing the pain points of traditional lighting systems, such as high energy consumption and insufficient environmental adaptability, this study relies on Internet of Things (IoT) technology and intelligent control theory to construct a three-dimensional influencing factor analysis model covering equipment characteristics, control logic, and external environment. It precisely identifies the key shortcomings of traditional control strategies in terms of data fusion efficiency, scene matching accuracy, and energy efficiency management. By developing an intelligent control algorithm driven by multi-source data coupling, this study organically integrates dynamic parameters such as light intensity, traffic flow fluctuations, and time-of-day characteristics, and innovatively proposes a “perception-decision-execution” three-layer linked energy-saving control architecture. Engineering empirical evidence shows that this strategy achieves systematic optimization of energy consumption while ensuring lighting quality meets standards. It provides a solution that combines theoretical depth and engineering value for the low-carbon transformation of expressway service areas, facilitating the green and intelligent upgrading of transportation infrastructure.