节能无线双向计数器与通知和数据存储系统

Marc Joshua Rivera, D. D. C. Maceda, Andrew G. Bitancor, Leonardo C. Sawal, Rose Ann R. Blanqueza, Natalie Joy dJ. Dazo, Hannah Faye L. Sabillo
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引用次数: 0

摘要

2020年,菲律宾遭遇新冠肺炎大流行。企业被迫关闭,并实施了社交距离和限制容量等封锁协议。尽管娱乐场所关闭,但家庭用电量飙升,因为人们被要求呆在家里,为员工和学生设置虚拟设备。有鉴于此,研究人员进行了一项研究,开发具有通知和数据存储系统的节能无线双向人流柜台,以帮助人们节约能源,实现场所的最大容量,并向企业主提供有关其客流量的信息。原型利用超声波传感器来检测进入和离开一个区域的人数,光依赖电阻来检测一个区域中存在的充足光能,LED灯和扬声器用于通知和报警系统,继电器模块用于控制连接的灯泡和风扇,Arduino Uno用于控制原型的其他组件。通过样机的数据,对灯泡和风扇进行控制;当有人在一个区域时,灯泡和风扇就会打开,否则就会关闭。该样机在控制LED灯、报警器、灯泡和风扇方面100%准确。另一方面,超声传感器的成功率为86.27%,错误率为13.72%。总的来说,原型机节省了能源,如果控制负载是36瓦的灯泡和48瓦或更高的风扇,理论上投资回报是可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy-Saving Wireless Bidirectional People Counter with Notification and Data-Storing Systems
In 2020, the Philippines succumbed to the pandemic brought by COVID-19 virus. Businesses were forced to shut down, and lockdown protocols, like social distancing and limited capacity, were implemented. Despite the closing of recreational establishments, electricity consumption in households spiked since people were mandated to stay at home and have a virtual setup for employees and students. With these in mind, the researchers conducted a study on the development of Energy-Saving Wireless Bidirectional People Counter with Notification and Data Storing Systems to aid people in making energy-saving efforts, implementing a maximum capacity of establishments, and providing information to business owners about their foot traffic. The prototype utilized ultrasonic sensors for detecting the number of people entering and leaving an area, light dependent resistor for detecting ample amount of light energy present in an area, LED lights and speakers for notification and alarm systems, relay modules for controlling the connected bulb and fan, and Arduino Uno for controlling the other components of the prototype. Through the data from the prototype, the bulb and fan were controlled; when there was human presence in an area, the bulb and fan were on and, otherwise, off. The prototype was 100% accurate in controlling the LED lights, alarm, bulb, and fan. On the other hand, a success rate of 86.27% and an error of 13.72% regarding ultrasonic sensors were recorded. Overall, the prototype saved energy, and a return on investment was theoretically possible if the controlled loads were 36-Watt bulbs and 48-Watt fans or higher.
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