Y. Kaizu, T. Shimada, Yusuke Takahashi, S. Igarashi, Hiroyuki Yamada, K. Furuhashi, K. Imou
{"title":"小型水草割草电动机器人船的研制","authors":"Y. Kaizu, T. Shimada, Yusuke Takahashi, S. Igarashi, Hiroyuki Yamada, K. Furuhashi, K. Imou","doi":"10.13031/trans.14295","DOIUrl":null,"url":null,"abstract":"HighlightsA small, automatically guided electric robot boat was developed to control the growth of aquatic plants in lakes.The robot boat was able to mow without becoming entangled with aquatic plants due to the paddle propulsion mechanism.The average speed was 0.41 m s-1, and the lateral deviation from the set path was 9.4 cm.The growth restraint effect was confirmed using aerial images collected by a drone.Abstract. At present, aquatic plants are becoming a problem in various lakes. Aquatic weeds that grow to high densities cause decreases in the oxygen concentration in the water, accumulation of sludge, and adverse effects on water use facilities and fisheries. Although there are large machines for cutting and harvesting aquatic plants, their use is limited due to their high cost, large size, and heavy weight. On the other hand, manual cutting is very labor intensive and inefficient. Therefore, in this research, we developed a labor-saving and low-cost robot boat to mow aquatic plants. This robot boat is automatically controlled by a real-time kinematic global navigational satellite system (RTK-GNSS) and is characterized by its small size, light weight, excellent portability, and low energy consumption. In addition, a paddle mechanism that replaces a conventional propeller was introduced as a propulsion mechanism to prevent entanglement of water plants and enable long-term automatic navigation. Mowing lotus (Nelumbo nucifera) in Lake Izunuma, Miyagi prefecture, Japan, confirmed that mowing could be properly conducted with a lateral deviation of 9.4 cm, average speed of 0.41 m s-1, and average power consumption of 518 W even when lotus was at its densest growth. If the cutting width of the robot boat was 1.2 m and the sidelap width was 0.3 m, the theoretical field work rate would be 0.133 ha h-1. Images captured by a drone confirmed that cutting with the robot boat was effective in suppressing the growth of lotus. It was found that the effect of suppressing growth was maximized by mowing at the time when the stopping leaves appeared in the late growth stage of lotus. Keywords: Autonomous navigation, Lotus, Moving baseline, Robot operation system, RTK-GNSS, Virtual private network.","PeriodicalId":23120,"journal":{"name":"Transactions of the ASABE","volume":"1 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Development of a Small Electric Robot Boat for Mowing Aquatic Weeds\",\"authors\":\"Y. Kaizu, T. Shimada, Yusuke Takahashi, S. Igarashi, Hiroyuki Yamada, K. Furuhashi, K. Imou\",\"doi\":\"10.13031/trans.14295\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"HighlightsA small, automatically guided electric robot boat was developed to control the growth of aquatic plants in lakes.The robot boat was able to mow without becoming entangled with aquatic plants due to the paddle propulsion mechanism.The average speed was 0.41 m s-1, and the lateral deviation from the set path was 9.4 cm.The growth restraint effect was confirmed using aerial images collected by a drone.Abstract. At present, aquatic plants are becoming a problem in various lakes. Aquatic weeds that grow to high densities cause decreases in the oxygen concentration in the water, accumulation of sludge, and adverse effects on water use facilities and fisheries. Although there are large machines for cutting and harvesting aquatic plants, their use is limited due to their high cost, large size, and heavy weight. On the other hand, manual cutting is very labor intensive and inefficient. Therefore, in this research, we developed a labor-saving and low-cost robot boat to mow aquatic plants. This robot boat is automatically controlled by a real-time kinematic global navigational satellite system (RTK-GNSS) and is characterized by its small size, light weight, excellent portability, and low energy consumption. In addition, a paddle mechanism that replaces a conventional propeller was introduced as a propulsion mechanism to prevent entanglement of water plants and enable long-term automatic navigation. Mowing lotus (Nelumbo nucifera) in Lake Izunuma, Miyagi prefecture, Japan, confirmed that mowing could be properly conducted with a lateral deviation of 9.4 cm, average speed of 0.41 m s-1, and average power consumption of 518 W even when lotus was at its densest growth. If the cutting width of the robot boat was 1.2 m and the sidelap width was 0.3 m, the theoretical field work rate would be 0.133 ha h-1. Images captured by a drone confirmed that cutting with the robot boat was effective in suppressing the growth of lotus. It was found that the effect of suppressing growth was maximized by mowing at the time when the stopping leaves appeared in the late growth stage of lotus. 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引用次数: 2
摘要
一种小型、自动引导的电动机器人船被开发出来,用于控制湖泊中水生植物的生长。由于采用桨推进装置,这艘机器船能够在不与水生植物纠缠的情况下进行割草。平均速度为0.41 m s-1,与设定路径的横向偏差为9.4 cm。利用无人机采集的航拍图像验证了生长抑制效果。目前,水生植物正在成为各种湖泊的一个问题。水草的高密度生长导致水中氧浓度降低,污泥堆积,对用水设施和渔业产生不利影响。虽然有大型机器用于切割和收获水生植物,但由于成本高、体积大、重量重,它们的使用受到限制。另一方面,手工切割是非常劳动密集和效率低下的。因此,在本研究中,我们开发了一种省力、低成本的水生植物割草机器人船。该机器人船由实时动态全球导航卫星系统(RTK-GNSS)自动控制,具有体积小、重量轻、便携性好、能耗低的特点。此外,还引入了一种取代传统螺旋桨的桨形机构作为推进机构,以防止水草缠绕,并实现长期自动导航。在日本宫城县出沼湖对荷花(Nelumbo nucifera)进行刈割,证实荷花生长最密集时,其横向偏差为9.4 cm,平均速度为0.41 m s-1,平均功耗为518 W。如果机器人船的切割宽度为1.2 m,侧舷宽度为0.3 m,则理论现场工作速率为0.133 ha h-1。无人机拍摄的图像证实,用机器船切割可以有效抑制荷花的生长。结果表明,在荷花生长后期出现停叶时,割草抑制生长的效果最大。关键词:自主导航,Lotus,移动基线,机器人操作系统,RTK-GNSS,虚拟专网
Development of a Small Electric Robot Boat for Mowing Aquatic Weeds
HighlightsA small, automatically guided electric robot boat was developed to control the growth of aquatic plants in lakes.The robot boat was able to mow without becoming entangled with aquatic plants due to the paddle propulsion mechanism.The average speed was 0.41 m s-1, and the lateral deviation from the set path was 9.4 cm.The growth restraint effect was confirmed using aerial images collected by a drone.Abstract. At present, aquatic plants are becoming a problem in various lakes. Aquatic weeds that grow to high densities cause decreases in the oxygen concentration in the water, accumulation of sludge, and adverse effects on water use facilities and fisheries. Although there are large machines for cutting and harvesting aquatic plants, their use is limited due to their high cost, large size, and heavy weight. On the other hand, manual cutting is very labor intensive and inefficient. Therefore, in this research, we developed a labor-saving and low-cost robot boat to mow aquatic plants. This robot boat is automatically controlled by a real-time kinematic global navigational satellite system (RTK-GNSS) and is characterized by its small size, light weight, excellent portability, and low energy consumption. In addition, a paddle mechanism that replaces a conventional propeller was introduced as a propulsion mechanism to prevent entanglement of water plants and enable long-term automatic navigation. Mowing lotus (Nelumbo nucifera) in Lake Izunuma, Miyagi prefecture, Japan, confirmed that mowing could be properly conducted with a lateral deviation of 9.4 cm, average speed of 0.41 m s-1, and average power consumption of 518 W even when lotus was at its densest growth. If the cutting width of the robot boat was 1.2 m and the sidelap width was 0.3 m, the theoretical field work rate would be 0.133 ha h-1. Images captured by a drone confirmed that cutting with the robot boat was effective in suppressing the growth of lotus. It was found that the effect of suppressing growth was maximized by mowing at the time when the stopping leaves appeared in the late growth stage of lotus. Keywords: Autonomous navigation, Lotus, Moving baseline, Robot operation system, RTK-GNSS, Virtual private network.
期刊介绍:
This peer-reviewed journal publishes research that advances the engineering of agricultural, food, and biological systems. Submissions must include original data, analysis or design, or synthesis of existing information; research information for the improvement of education, design, construction, or manufacturing practice; or significant and convincing evidence that confirms and strengthens the findings of others or that revises ideas or challenges accepted theory.