【摘要】 针对生活中经常出现垃圾桶因装满无法及时清理而造成垃圾溢出污染环境的现象,设计了基于免疫连通模型与Dijkstra算法的垃圾桶区域化管理控制系统。系统通过红外检测、超声波测距等多传感器技术,实现垃圾桶防溢出、垃圾盖自动开关等功能,并通过Dijlstra算法和免疫机制来选择最优的最短传输路径,提高信息传输及系统控制的准确性和高效性,大大节约了垃圾车资源;利用LoRa组网技术对垃圾桶实现区域化管理,提高垃圾站对垃圾的监管效率。根据实验所得结果表明,系统不仅可以解决垃圾溢出问题,还可以提高信息最优化传输以及减少节点的能耗,合理地使用垃圾车资源,实现垃圾站对垃圾桶的准确监测和管理。更多还原

【Abstract】 In view of the frequent occurrence of garbage bins being filled and unable to be cleaned up in time, garbage overflowing and polluting the environment, a regionalized management and control system for garbage bins based on immune connectivity model and Dijkstra algorithm is designed. The system uses infrared detection, ultrasonic ranging and other multi-sensor technologies to realize the functions of anti-overflow of the trash can and automatic opening and closing of the trash cover, and uses the Dijlstra algorithm and immune mechanism to select the optimal shortest transmission path to improve the accuracy of information transmission and system control. The characteristics and efficiency of garbage trucks have greatly saved resources of garbage trucks. The use of LoRa networking technology to realize regionalized management of garbage bins improves the efficiency of garbage station supervision of garbage. According to the experimental results, the system can not only solve the garbage overflow problem, but also improve the optimal transmission of information and reduce the energy consumption of nodes, rationally use garbage truck resources, and realize accurate monitoring and management of garbage bins by garbage stations.更多还原