Sistem Cerdas Pemilah Sampah Logam Non-Logam dan Penghitung Volume Sampah

M. Rahayu, Amy Nadia Hidayah, Ridwan Solihin, Suci Ramadona
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Abstract

Currently, human awareness to dispose of waste is not in accordance with the type of waste in its place, so all types of waste are mixed. The mixing of various types of waste can damage or reduce the value of materials that can be reused, especially metal-based waste which has a high selling value. By sorting the waste according to the type of waste, the recycling process can be carried out. Therefore, in this paper an innovation is made for a trash can that can separate metal and non-metallic types of waste automatically. The way this system works is that it is placed in an initial shelter, then detected by a proximity sensor to determine whether the waste is metal or non-metallic. When garbage is detected, the garbage bin can drop the garbage into the metal bin with the help of a servo. Likewise with non-metallic waste. The volume of waste can be detected by ultrasonic sensors. If the volume of the trash can is at its maximum, the alarm can sound. Furthermore, the data on the volume of the trash can is transmitted by the wifi module to the application on the smartphone, so that the garbage officer can find out if the volume of waste reaches the maximum. After testing, the e-Separator system can be categorized as very good with an accuracy of sensor readings that are above 95% accuracy of distance accuracy in detecting volume which reaches more than 98%. The average delay of servo movement is faster than 5 seconds and the error percentage in sending data to applications reaches 0%.
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智能金属整理系统非金属垃圾和垃圾收集器
目前,人类对垃圾的处理意识不是按照垃圾的种类在其所在的地方,所以各种类型的垃圾是混合的。各种废物的混合会破坏或降低可重复使用的材料的价值,特别是具有高销售价值的金属废物。根据废物的种类对废物进行分类,可以进行回收处理。因此,本文对一种能够自动分离金属和非金属类垃圾的垃圾桶进行了创新。这个系统的工作方式是,它被放置在一个初始的遮蔽物中,然后由一个接近传感器检测,以确定废物是金属还是非金属。当检测到垃圾时,垃圾桶借助伺服器将垃圾投放到金属垃圾桶中。非金属废物也是如此。废物的体积可以用超声波传感器检测出来。当垃圾筒的体积达到最大时,会发出警报声。此外,垃圾桶的体积数据通过wifi模块传输到智能手机上的应用程序,这样垃圾管理人员就可以知道垃圾量是否达到了最大值。经过测试,e-Separator系统可以归类为非常好的,传感器读数的准确度在95%以上,检测体积的距离准确度达到98%以上。伺服运动的平均延迟超过5秒,向应用程序发送数据的错误率达到0%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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