首页|基于视觉识别的高效率光伏灌溉控制方案开发与实现

基于视觉识别的高效率光伏灌溉控制方案开发与实现

扫码查看
西北地区沙化治理是我国生态修复的重大工程,生态修复的关键是如何针对西北地区水资源短缺,光照资源丰富,但大风天频发等特点,开发低能耗的节水灌溉技术,这也是推进国家"双碳"工作的重要举措.高效的光伏发电模块需要在控制上实现视日最大功率追踪,另外考虑到设备易受恶劣天气破坏严重的问题,还需要实现设备的自保护,这些都给设备的控制方案带来难度.为此,提出基于MPPT算法优化的双轴视日跟踪装置,在实现最大功率追踪的同时,兼顾了抗风自保护能力.针对精准灌溉与节水灌溉,提出基于模板匹配和聚类算法的视觉识别技术,以实现植被的智能化、少人化作业.该方案为农业灌溉与生态修复装备的智能化发展提供新的思路,具有良好的市场前景与应用价值.
High Efficiency Photovoltaic Irrigation System Based on Visual Recognition
Desertification control in Northwest China is a major ecological restoration project.The key to ecological restoration is how to develop low-energy water-saving irrigation technology in view of the shortage of water resources in Northwest China,abundant light resources,but frequent windy days and other characteristics,which is also an important measure to promote the national"double carbon"work.Efficient photovoltaic power generation module needs to realize the maximum power tracking of the apparent day in the control,in addition,considering the problem that the equipment is vul-nerable to severe weather damage,but also need to realize the self-protection of the equipment,which brings difficulty to the control scheme of the equipment.Therefore,this paper proposes a dual-axis visual day tracking device optimized by MPPT algorithm,which not only realizes the maximum power tracking,but also gives consideration to the wind self-protec-tion ability.For precision irrigation and water-saving irrigation,this paper proposes a visual recognition technology based on template matching and clustering algorithm to achieve intelligent and less human vegetation operations.

electrical controlMPPT algorithmtemplate matchingclustering algorithm

朱凌轶、乔一轩、陈洁、井艺树

展开 >

南京工程学院机械工程学院,江苏 南京 211167

电气控制 MPPT算法 模板匹配 聚类算法

2024

工业控制计算机
中国计算机学会工业控制计算机专业委员会 江苏省计算技术研究所有限责任公司

工业控制计算机

影响因子:0.258
ISSN:1001-182X
年,卷(期):2024.37(4)
  • 10