摘要
针对水利水电工程管理中存在管理效率滞后的问题,采用无人机和巡检机器人对水利水电施工进行多层次智能监控,采用处理器Advanced RISC Machine(ARM)主控部分实现数据采集,通过Lora网络数据通讯实现数据交互,在不同条件下实现水利水电施工现场的监控,通过采用事件驱动技术,实现数据采集的监控,采用改进型粒子群优化算法(PSO)算法,提高了多种水利水电工程目标数据的搜索能力和计算能力。试验表明所提方法提高了数据处理速度,增强了系统的稳定性。
Aiming at the problem of lagging management efficiency in the management of water conservancy and hydropower projects,the intelligent means of drones and inspection robots are used to carry out multi-level intelligent monitoring of water conservancy and hydropower construction.The ARM main control part is used to realize data collection,and the data communication is realized through Lora network.It realizes the monitoring of water conservancy and hydropower construction under different conditions.Through the use of event-driven technology,the monitoring of data collection is realized,and the improved particle swarm optimization algorithm(PSO)algorithm is adopted to improve the search for target data of various water conservancy and hydropower projects.Experiments show that this research method improves the data processing speed and enhances the stability of the system.
作者
丁晓生
DING Xiaosheng(Yuncheng County Shuihu City Construction Co.,Ltd.,Heze 274700,China)
出处
《微型电脑应用》
2023年第8期149-152,共4页
Microcomputer Applications
关键词
水利水电工程管理
施工监控
粒子群优化算法(PSO)
Lora通讯
water conservancy and hydropower project management
construction monitoring
particle swarm optimization algorithm(PSO)
Lora communication