Robotics & Machine Learning Daily News2024,Issue(Jun.19) :152-157.

'Solar Panel Cleaning System' in Patent Application Approval Process (USPTO 2024 0178787)

专利申请批准过程中的“太阳能电池板清洁系统”(USPTO 2024 0178787)

Robotics & Machine Learning Daily News2024,Issue(Jun.19) :152-157.

'Solar Panel Cleaning System' in Patent Application Approval Process (USPTO 2024 0178787)

专利申请批准过程中的“太阳能电池板清洁系统”(USPTO 2024 0178787)

扫码查看

摘要

Robotics&Machine Learning Daily News Daily News的新闻记者兼工作人员新闻编辑根据来自华盛顿特区的新闻报道,由发明者达汉、阿维埃尔(Karmiel,IL)、雅各布·弗里德里奇(TIVON,IL)、阿维拉汉姆(YOKNE AM ILIT,IL)于2023年11月28日提交的专利申请于2024年5本专利申请未转让给公司或机构。新闻编辑从发明人提供的背景信息中获得了以下引文:“太阳能电池板的清洁是太阳能电池板效率的主要因素,因为电池板表面的污垢积聚阻挡了太阳辐射,”太阳能电池板制造商建议经常清洁电池板,以保持最佳的发电量和系统的长期耐久性。现在有多种清洁太阳能电池板的方法,可以通过手动方式、固定喷淋装置或自动方式。手动方式包括用机械刷子和/或水压手动擦拭电池板,使用清洁水或清洁清洁剂。这种方法提供高水平的清洁,但由于使用大量的体力劳动而成本昂贵,并且在清洁安装在高处的平底锅时风险极大,这在大多数情况下通常是如此。这种方法的风险和成本导致清洁频率低,固定喷淋器清洁装置包括一组完整的水喷淋器,这些水喷淋器安装在太阳能电池板的边缘周围,这些水喷淋器通过水管网连接,为整组喷淋器提供水压力。然后及时启动喷淋器,在面板表面产生洪水,利用灰尘沿着面板自然斜坡向下飘移,这种方法在组装安装时耗费大量的材料和劳力,由于多个洒水装置耗水而承受低水压,自动清洁装置包括安装在面板上的各种机器人系统,这些机器人系统沿面板方向自动驱动并用喷水清洁面板,这些方法提供高水平的清洁,但其缺点是成本高,安装、维护、故障排除和修理的技术复杂系统,包括传感器、马达、基因发生器和控制器。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent application by the inventors DAHAN, Aviel (Karmiel, IL); FRIEDRIECH, Jacob (TIVON, IL); TAVOR, Avraham (YOKNE AM ILIT, IL), filed on November 28, 2023, was made available online on May 30, 2 024, according to news reporting originating from Washington, D.C., by NewsRx co rrespondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "Solar panel cleaning is a major factor in the e fficiency of solar panels, as the accumulation of dirt on the panel surface bloc ks sun radiation, thus reducing the electricity production of the panel. Solar p anel manufacturers recommend frequent cleaning of the panels to maintain optimal electricity production and long-term durability of the system. Today there are various methods for cleaning solar panels, either by manual means, fixed sprinkl er means or automatic means. Manual means include manual scrubbing of the panels with mechanical brush and/or water pressure, using clean water or a cleaning so lution. This method provides high level of cleaning, but is an expensive method due to the use of massive manual labor, and is extremely risky when cleaning pan els which are installed at high places, which is usually the case in most instal lations. The risks and cost of this method result in low frequency of cleaning, making it less effective in maintaining high productivity of electricity by the panels. Fixed sprinkler cleaning means include a comprehensive array of water sp rinklers, which are installed around the edges of the solar panels after their c onstruction. The sprinklers are connected via a net of water pipes, providing wa ter pressure to the complete array of sprinklers. The sprinklers are then activa ted on a timely basis, creating a flood of water on the surface of the panels, c ausing the dirt to drift down along the natural slope of the panels. This method consumes a lot of material and labor for assembly and installation, suffers fro m low pressure of water due to the plurality of sprinklers that consume water, a nd can only create a flood of water which is not effective in breaking and remov ing all types of dirt. Automatic means for cleaning include various robotic syst ems installed on the panels, which are automatically driven along the panel arra y and clean the panels with a spray of water, which can be accompanied by mechan ical cleaning of the panels surface. These means provide high level of cleaning, yet their disadvantages are high costs, a technically complex system for instal lation, maintenance, troubleshooting and repair, including sensors, motors, gene rators and controllers.

Key words

Emerging Technologies/Machine Learning/Patent Application/Robotics/Robots

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文