项目名称：面向太阳能杀虫灯物联网的核心问题研究
项目出处：F0215
项目摘要：
太阳能杀虫灯已被广泛应用于农业虫害绿色防控领域。目前太阳能杀虫灯不具备多个节点间通过无线通信方式达到协同合作的功能，实现虫害重点区域定位，且无法根据虫害发生程度自适应调整工作时间段，杀虫效果不佳。本项目将太阳能杀虫灯与无线传感器网络结合，提出“太阳能杀虫灯物联网”的概念，以降低部署成本、优化杀虫效果、快速定位虫害重点区域、虫情数据抗干扰传输为目的，利用数理统计、概率论、图论和优化论等工具，研究以下五方面内容：1)面向复杂地形地貌和异构作物杀虫需求的节点优化部署；2)基于天气预报情况面向保证节点基本工作时长的能量自适应预留；3)面向优化杀虫效果的节点工作时间段自适应调整；4)面向严重灾情的非对称链路下虫害重点区域判定；5)避开杀虫灯高压放电密集时段的节点通信时段自适应调整。研究成果具有重要的理论意义和实践意义，并将为太阳能杀虫灯物联网在农业生产中的应用提供重要理论依据和相关核心算法。
英文摘要：
Solar insecticidal lamps have been widely used in the field of agricultural pest control and green control. At present, the solar insecticidal lamps do not have the function of synergistic cooperation between multiple nodes through wireless communication or the realization of the location of the pest dense area, and they cannot adaptively adjust the working time period according to the pest degree, and the insecticidal effect is not significant. This project aims to combine solar insecticidal lamps with wireless sensor networks, and it proposes the concept of “Solar Insecticidal Lamps Internet of Things” to reduce deployment costs, optimize insecticidal effect, quickly locate pest dense area, and perform anti-interference transmission of pest data. By using the tools of mathematical statistics, probability methods, graph theory, and optimization techniques, the following five aspects are studied: 1) node-optimized deployment for complex terrain and heterogeneous crop insecticidal requirements; 2) guarantee for basic working time of the nodes based on weather forecast time-adaptive energy reserve; 3) adaptive adjustment of node working time period for optimizing insecticidal effect; 4) fast determination of pest dense area under asymmetric link in case of sudden unexpected pests; 5) avoiding high-voltage discharge of solar insecticidal lamps by adaptively adjusting the node communication period. The research results exhibit important theoretical and practical significance, and will provide important theoretical basis and related core algorithms for the applications of Solar Insecticidal Lamps Internet of Things in agricultural production.
