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Hao Huang and Xu Chen 的作品 Widgtech Ashman 光伏板清洗车

设计师 Hao Huang and Xu Chen 的作品 Widgtech Ashman 光伏板清洗车 荣获了极具声望的 2023 A' Design Award 银奖,竞赛类别为机器人、自动装置与自动化设计。


银机器人· 2023

Widgtech Ashman 光伏板清洗车

设计师: Hao Huang and Xu Chen

客户: Widgtech

机器人类别A' Design Award 银奖获奖者

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验证 #149894 的获奖状态

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设计作品

关于 Widgtech Ashman 光伏板清洗车

Widgtech Ashman 是一款专为大型电站太阳能光伏板设计的清洗车。该车采用纯电驱动、履带式底盘,并具备智能寻路功能。中央水箱容量达200升,可支持数千平方米光伏板的清洗作业。机械臂具有六个自由度,搭载图像识别模块、雾化喷水装置和清洗头。图像识别模块对每块光伏板进行分析,并在清洗过程中引导机械臂作业。该设计有效减少了人工劳动强度和用水量。

荣誉认可

关于A' Design Award 银奖

Widgtech Ashman 光伏板清洗车是 A' Design Award 银奖得主,这是授予顶级、华美而令人印象深刻的设计的极为崇高的认可。银奖得主是极其卓越、极具创造力的作品,展现出其设计师杰出的专业技能、才华与敏锐。预计Widgtech Ashman 光伏板清洗车将成为一件出色的典范之作,兼具非凡的专业性与深刻的创新性。这件赢得 A' Design Award 银奖的设计是一项备受瞩目、令人钦佩的发明,造福并拓展艺术、科学、设计和技术的边界。Widgtech Ashman 光伏板清洗车是一件令人羡慕的创作,它唤起渴望,带来积极的情感,并激发惊叹与赞叹。

设计幕后

媒体资料包

由设计师提供的致谢、团队成员及技术详情。

独特属性
Widgtech Ashman has pure electric drive and crawler chassis, with intelligent pathfinding function. The central water tank has 200 liters capacity, supporting cleaning of thousands of square meters of photovoltaic panels. The mechanical arm has six degrees of freedom and is equipped with image recognition module, atomizing water sprayer and cleaning tow head. The image recognition module analyzes the photovoltaic panel and controls the mechanical arm to do the cleaning work.
尺寸与包装
The body is 1900mm long, 1190mm wide and 750mm high. The effective working radius of the arm (including the trailer part) is about 2500mm, the maximum load is 10kg, and the working power consumption is 400W. The net weight of the chassis is 450kg, the net weight of the arm is 58kg, and the water tank is full load of 200kg.
标签
Photovoltaic, intelligent equipment, cleaning operation, environmental protection, unmanned, automatic control.
生产技术
The body and main arm structure of the cleaning vehicle are made of aluminum alloy by stamping. Two kinds of dark gray matte paint are used for the appearance. The track is made of polyurethane polymer material by injection molding, light weight, wear-resistant and corrosion-resistant.
设计挑战
The intelligent control of the cleaning vehicle is the biggest challenge, especially the intelligent recognition of the surface area of the photovoltaic panel. It is a great challenge to make accurate judgment under different light and distance. To solve this problem, we use deep convolution algorithm for a large number of identification learning, and use different sensors for auxiliary recognition to improve the availability of the equipment.
研究
Photovoltaic panels for photovoltaic power generation need regular cleaning to avoid reduced power generation efficiency or burning due to hot spot effect. In the south, the scale is small and the water environment is easy to clean. In the north, however, large scale, lack of water and wind and sand dust increase labor and material costs and make traditional spraying very wasteful of water. Thus, power-driven intelligent equipment for unmanned precise operation has great advantages.
灵感
Solar energy industry has made great contributions to energy conservation, emission reduction and environmental protection as green energy. In northern region photovoltaic bases, cleaning work has been a great challenge due to environment conditions and park size. Widgtech Ashman adopted intelligent tracking and image recognition technology for unmanned cleaning work, saving manpower, controlling water usage and ensuring cleaning efficiency and effect.
项目周期
The project started in May 2022 and finished in February 2023 in Beijing.
操作流程
Widgtech Ashman's intelligent photovoltaic cleaning car is mainly used for regular cleaning of solar photovoltaic panels in large photovoltaic power plants, aiming to solve the problem of large-scale solar photovoltaic panel cleaning under conditions such as northern region, complex terrain, water shortage environment and unmanned environment.
团队成员
Hao Huang, Xu Chen, Qian Hao, Fangbo Wu, Zhihan Yuan, Yating Zhou, Ge Song, Junyi Wei, Rong Zhang

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