摘要
在现有技术上加以改进,设计一种基于单源路径优化的电力巡检小车。以STC11F32XE单片机为核心控制器,利用结合了差分进化算法的人工蜂群算法DE-ABC,优化小车巡检路径规划中的运行时间和搜索效率。在传感器避障及环境数据采集中加入云端交互控制和视觉检测系统,实现人机交互,提高电力巡检的智能化和自主化水平。该设计可为电力行业的数字化转型和智能化升级提供参考,具有较高的可靠性和较好的实用性。
By improving the existing technology,a power inspection vehicle based on single-source path optimization is designed.The design takes STC11F32XE single chip microcomputer as the core controller,and uses Artificial Bee Colony algorithm combined with Differential Evolution algorithm(DE-ABC)to optimize the running time and search efficiency in the path planning of vehicle inspection.Cloud interactive control and visual detection system are added to sensor obstacle avoidance and environmental data collection to realize human-computer interaction and improve the intelligence and autonomy of power inspection.The design can provide reference for digital transformation and intelligent upgrading of power industry,and has high reliability and good practicability.
作者
唐雕
李俊杰
张雯雯
张瑜
TANG Diao;LI Junjie;ZHANG Wenwen;ZHANG Yu(School of Engineering and Technology,Xi'an Siyuan University,Xi'an 710038,China)
出处
《微处理机》
2024年第2期55-59,共5页
Microprocessors
基金
2023年国家级大学生创新创业训练计划项目“电网哨兵——基于单片机的电力巡检小车”(S202313121006)。
