Orchard Internet of Things node fault detection method and system based on improved ant colony algorithm

• Main Authors: LIANG GAOTIAN, HE PEIHUA, SUN DAOZONG, ZHANG XIAOWEI, HUA JIAJUN, LI JUN, YU ZHENBANG, XIE JIAXING, FU XIANBING
• Format: Patent
• Language: Chinese; English
• Published: 10.06.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses an orchard Internet of Things node fault detection method and system based on an improved ant colony algorithm, and the method comprises the steps: S1, calculating a pheromone concentration matrix of a path between all nodes of the orchard Internet of Things based on the improved ant colony algorithm, and updating the pheromone concentration matrix during each ant migration; and S2, based on a SoftMax algorithm, calculating a fault probability of a corresponding path according to the pheromone concentration of the path between the nodes, and if the fault probability is greater than a preset threshold, judging that the path has a fault. Through the improved ant colony algorithm and in combination with wireless transmission theoretical loss, dynamic sensing of wireless transmission faults of the orchard Internet of Things nodes is realized, and the node maintenance cost is reduced. 本发明公开了一种基于改进蚁群算法的果园物联网节点故障检测方法及系统，其中，方法包括：S1、基于改进的蚁群算法计算果园物联网各节点间路径的信息素浓度矩阵，并在每次蚂蚁迁徙时，对信息素浓度矩阵进行更新；S2、基于Sof