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Humanoid Robot Application as COVID-19 Symptoms Checker Using Computer Vision and Multiple Sensors 基于计算机视觉和多传感器的人形机器人在COVID-19症状检测中的应用
Pub Date : 2021-10-22 DOI: 10.26418/elkha.v13i2.47213
Muhammad Baihaqi, V. Vincent, J. W. Simatupang
Novel Corona Virus (nCoV) infects human’s respiratory system. It spreads easily when an infected person makes a close contact with other people. To prevent its massive spread, it is necessary to ensure anyone coming to a certain place is not being infected. The symptoms include high body temperature (≥37.5°C) and low oxygen saturation level (≤95%). This day, most places only check the human body temperature. Thus, the authors are interested to make an attempt to design a system that is able to measure both human body temperature and oxygen saturation level. This work also applies the 7-DoF Upper-Body of Humanoid Robot to prevent virus spread from and to the employee. The system will detect the coming of visitors by using face detection. It requires 7.24 seconds to detect the visitor without a mask, and 1.26 second when the visitor wears a mask. The body temperature measurement was done using GY-906 temperature sensor with an error of 0.51%. For the oxygen saturation level measurement, MAX30100 pulse oximeter module was applied and showed an error of 0.78%. In addition, the upper-body of humanoid robot will perform some gestures to instruct the visitors in every process of the system. The implemented 7-DoF upper-body of humanoid robot has 93.33% gesture comprehension rate. In conclusion, the overall system has been tested and showed success rate up to 75%.
新型冠状病毒(nCoV)感染人的呼吸系统。当感染者与其他人密切接触时,它很容易传播。为了防止其大规模传播,有必要确保任何来到某个地方的人都不会被感染。症状包括高体温(≥37.5℃)和低血氧饱和度(≤95%)。这一天,大多数地方只检查人的体温。因此,作者有兴趣尝试设计一种能够同时测量人体温度和氧饱和度的系统。这项工作也适用于人形机器人的7自由度上肢,以防止病毒从员工身上传播到员工身上。该系统将通过人脸检测来检测访客的到来。不戴口罩检测需要7.24秒,戴口罩检测需要1.26秒。体温测量采用GY-906型温度传感器,误差为0.51%。氧饱和度测量采用MAX30100脉搏血氧仪模块,测量误差为0.78%。此外,在系统的每个过程中,人形机器人的上半身会做出一些手势来指导参观者。所实现的人形机器人上体7自由度手势理解率为93.33%。综上所述,整个系统已经过测试,成功率高达75%。
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引用次数: 2
Reliability Evaluation of Kumpai Feeder Distribution System at PT. PLN (Persero) ULP Siantan Siantan PT. PLN (Persero) ULP Kumpai馈线分配系统可靠性评估
Pub Date : 2021-10-22 DOI: 10.26418/elkha.v13i2.48660
A. Kurniawan, F. Fitriah, M. Arsyad
The research on reliability index of a feeder aims to evaluate the reliability level of a feeder using the Reliability Index Assessment (RIA) method. This method evaluates the reliability of a 20 kV distribution network by calculating the reliability indexes of each load point. The evaluation results show the reliability index value per section of the Kumpai Feeder at PT. PLN (Persero) ULP Siantan within one year. The SAIFI values are 0.0092; 0.0012; 12,477; 0.0596; 0.0204; 0.0470; 0.0155; 0.0728, the SAIDI values are 0.0277; 0.0042; 37,746; 0.1862; 0.0741; 0.1524; 0.0493; 0.2209, the CAIDI values are 3.0108; 3.5; 3,025; 3.1241; 3.6323; 3.2425; 3.1806; 3.0343, the MAIFI values are 0; 5,480; 0.2145; 0.0020; 0.0038; 0.0042; 0.0006; 0.0014. The calculation results show that the 20 kV distribution system at PT. PLN (Persero) ULP Siantan at the Kumpai Feeder can be categorized as unreliable. Because the SAIFI value of this feeder exceeds the standard set by PT. PLN (Persero) which are 12.477 times/customer/year and 3.2 times/customer/year, respectively. The factors affecting the reliability index of the Kumpai feeder are the number and duration of blackouts, the number of customers, and the length of the distribution system channel.
馈线可靠性指标研究的目的是利用可靠性指标评估(RIA)方法对馈线的可靠性水平进行评价。该方法通过计算各负荷点的可靠性指标,对20kv配电网进行可靠性评价。评估结果显示了Siantan PT. PLN (Persero) ULP Kumpai馈线一年内每段的可靠性指标值。SAIFI值为0.0092;0.0012;12477;0.0596;0.0204;0.0470;0.0155;0.0728, SAIDI值为0.0277;0.0042;37746;0.1862;0.0741;0.1524;0.0493;0.2209, CAIDI值为3.0108;3.5;3025;3.1241;3.6323;3.2425;3.1806;3.0343, MAIFI值为0;5480;0.2145;0.0020;0.0038;0.0042;0.0006;0.0014. 计算结果表明,Kumpai馈线上PT. PLN (Persero) ULP Siantan的20kv配电系统可归类为不可靠。因为该馈线的SAIFI值超过了PT. PLN (Persero)设定的标准,分别是12.477次/客户/年和3.2次/客户/年。影响Kumpai馈线可靠性指标的因素有停电次数和停电持续时间、用户数量和配电系统通道长度。
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引用次数: 1
Monitoring and Controlling of pH Levels and Plant Nutrition Supplied by Standalone Photovoltaic in a Greenhouse Hydroponic System using Arduino Uno 利用Arduino Uno监测和控制温室水培系统中独立光伏供电的pH水平和植物营养
Pub Date : 2021-04-20 DOI: 10.26418/ELKHA.V13I1.45657
L. Kurniawan, Amirullah Amirullah
This paper aims to implement the prototype model to monitor and control the pH levels and nutrition plant (electrical conductivity-EC) supplied by a standalone photovoltaic (PV) module-connected battery (Lithium-Ion) on the greenhouse hydroponic systems. The pH and EC sensors are connected to the Arduino Uno circuit as a relay control to drive four pumps, i.e. the water flow pump, EC pump, pH up pump, and pH down pump. The greenhouse function to control pests and the impact of environmental non-uniformity caused by variation of wind speed, temperature, or sunlight so that hydroponic plants can grow in an appropriate environment. The Arduino Uno circuit with a 20 × 4 liquid crystal display (LCD) order four relays to monitor and control the four pumps of the greenhouse hydroponic system based on the coding which has been programmed previously. The prototype model is able to monitor and control the pH of hydroponic plant water at the level between 6-7 using a pH-up and pH-down sensor. This model is also able to monitor and control nutrition plant water over 1 mS/cm using an EC sensor. Finally, the proposed prototype is able to monitor and control EC and pH level to regulate plant growth in the greenhouse hydroponic system normally and in real-time.
本文旨在实现由独立光伏(PV)模块连接电池(锂离子电池)在温室水培系统上提供的pH水平和营养植物(电导率- ec)的监测和控制原型模型。pH和EC传感器连接到Arduino Uno电路,作为继电器控制驱动四个泵,即水流泵,EC泵,pH上升泵和pH下降泵。温室的功能是控制害虫和风速、温度、光照变化引起的环境不均匀性的影响,使水培植物在适宜的环境中生长。采用20x4液晶显示器(LCD)的Arduino Uno电路,根据之前编写的编码,命令4个继电器对温室水培系统的4个泵进行监测和控制。原型模型能够使用pH-up和pH-down传感器监测和控制水培植物水的pH值在6-7之间。该模型还能够使用EC传感器监测和控制营养植物水分超过1 mS/cm。最后,该样机能够监测和控制EC和pH水平,以正常、实时地调节温室水培系统中的植物生长。
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引用次数: 1
Design of a Fuel Sensor Noise Reduction System Using Kalman Filter 基于卡尔曼滤波的燃油传感器降噪系统设计
Pub Date : 2021-04-20 DOI: 10.26418/ELKHA.V13I1.44589
Rico Bernando Putra, Suhartati Agoes
In the field of transportation, telematics is used to obtain vehicle information using Global Positioning System (GPS) technology which is integrated with sensors so that vehicle information can be monitored. One of them is fuel monitoring. The fuel sensor has good accuracy in stationary conditions, but the tability of the data is disturbed when the vehicle is running on an uneven road and causes the tank to shake. This study discusses a fuel sensor noise reduction system using a Kalman filter to overcome the problem of data instability due to shocks. This research aims to reduce noise so that the filter results are closer to the actual result. Filtering is done by changing the process error covariance (Q) and measurement error (R) in the Kalman filter. The fuel sensor noise is simulated using a simulator tank driven by an actuator that can tilt towards the x-axis and the y-axis to resemble the behavior of a vehicle. The fuel level data from the sensor readings are sent by GPS via the cellular network to a server which is then filtered using a web application. From the test results obtained the best filter with (Q) equals 0.1^3 and (R) equals 0.1^3. The average error of the best filter results is 4.73% where this value is 1.92% smaller than the average error of sensor data before filtering, which is 6.65%. Therefore, this proves that the system can reduce noise that occurs in the fuel sensor with the Kalman filter.
在交通运输领域,远程信息处理是利用全球定位系统(GPS)技术获取车辆信息,GPS技术与传感器相结合,实现对车辆信息的监控。其中之一是燃料监测。燃油传感器在静止状态下具有良好的精度,但车辆在不平路面行驶时,数据的稳定性会受到干扰,导致油箱晃动。本文讨论了一种采用卡尔曼滤波的燃油传感器降噪系统,以克服冲击引起的数据不稳定问题。本研究旨在降低噪声,使滤波结果更接近实际结果。滤波是通过改变卡尔曼滤波器中的过程误差协方差(Q)和测量误差(R)来实现的。燃油传感器的噪声是通过一个模拟器油箱来模拟的,该模拟器油箱由一个可以向x轴和y轴倾斜的致动器驱动,以模拟车辆的行为。来自传感器读数的油位数据由GPS通过蜂窝网络发送到服务器,然后使用web应用程序进行过滤。从测试结果中得到了(Q) = 0.1^3和(R) = 0.1^3的最佳滤波器。最佳滤波结果的平均误差为4.73%,比滤波前传感器数据的平均误差6.65%小1.92%。因此,这证明了该系统可以通过卡尔曼滤波来降低燃油传感器中的噪声。
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引用次数: 0
Conditioning of Temperature and Soil Moisture in Chrysanthemum Cut Flowers Greenhouse Prototype based on Internet of Things (IoT) 基于物联网的菊花切花温室原型温度和土壤水分调节
Pub Date : 2021-04-20 DOI: 10.26418/ELKHA.V13I1.43078
M. Fauziyah, H. K. Safitri, D. Dewatama, Erdin Aulianta
Currently, cut chrysanthemum cultivation in a greenhouse is still using a conventional system. Temperature and soil moisture are the most important factors in the growth process. If the temperature and humidity of the soil are not conditioned, the roots will quickly rot and slow the growth process of chrysanthemums. Internet of Things is an integrated system with a data-based server that stores data in the cloud from sensors so that the system can be monitored remotely in real-time. Based on this, an integrated system was designed to make it easier for farmers to condition the temperature and humidity of the chrysanthemum flower soil. In temperature conditioning, if the temperature of cut chrysanthemum is detected <24 ℃ then the heater will be "on" by adjusting the fan rotation and vice versa. Meanwhile, soil moisture conditioning is carried out by distributing water if the detected soil moisture is <50%, then the water pump is in the "on" state. The data on the degree of temperature and the percent of soil moisture will be recorded into the cloud which will then be displayed in the form of graphs and history data on the webserver and Android. By using this system, it is found that the growth process of cut chrysanthemums can grow 7 days faster than the standard harvest time of 30 days.
目前,菊花在温室内的切花栽培仍然使用传统的系统。温度和土壤湿度是影响植物生长的最重要因素。如果不调节土壤的温度和湿度,菊花的根部就会迅速腐烂,减缓菊花的生长过程。物联网是一个集成系统,其基于数据的服务器将来自传感器的数据存储在云中,以便可以远程实时监控系统。在此基础上,设计了一个综合系统,使农民更容易调节菊花土壤的温度和湿度。在温度调节中,如果检测到切花菊花的温度<24℃,则通过调节风扇旋转使加热器“开启”,反之亦然。同时对土壤水分进行调水,如果检测到土壤水分<50%,则水泵处于“开”状态。温度程度和土壤湿度百分比的数据将被记录到云中,然后以图表和历史数据的形式显示在web服务器和Android上。通过使用该系统,发现切花菊花的生长过程比标准收获时间30天快7天。
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引用次数: 2
Halaman Depan 头版
Pub Date : 2020-10-11 DOI: 10.26418/elkha.v12i2.42676
Editor Elkha
PRAKATA :ELKHA merupakan jurnal ilmiah yang diterbitkan  berkala dua kali per tahun oleh Jurusan Teknik Elektro Fakultas Teknik Universitas Tanjungpura. Makalah yang dapat dimuat dalam jurnal ini meliputi bidang keilmuan Teknik Kendali, Elektronika, Sistem Tenaga, Telekomunikasi, Informatika, Sistem Distribusi dan Teknik Industri. Makalah dapat berupa ringkasan laporan hasil penelitian atau kajian pustaka ilmiah. Makalah yang akan dimuat hendaknya memenuhi format yang telah ditentukan, contoh terlampir pada halaman terakhir jurnal ini atau dapat menanyakan ke alamat sekretariat jurnal ELKHA. Bahasa yang digunakan pada jurnal ini adalah bahasa Indonesia atau bahasa Inggris. Tanpa mengurangi bobot ilmiah, jurnal ini menerima sumbangan tulisan yang belum pernah diterbitkan dalam media cetak lain dan menerima pemasangan iklan.
引言:ELKHA是一份科学期刊,由坦永普拉大学电气工程学院每年周期性出版两次。本期刊可发表的论文包括控制工程、电子、电力系统、电信、信息学、工业配送系统和工程等领域。论文可以是研究报告或科学库的总结。要提交的论文应符合所定的格式,本日志最后一页所载的示例,或可向ELKHA秘书处的地址查询。这本杂志使用的语言是印度尼西亚语或英语。在不影响科学支持的情况下,该杂志接受了在其他印刷媒体上从未发表过的书面捐款,并接受了广告。
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引用次数: 1
Sistem Pergerakan Robot Kiper Beroda Menggunakan Metode Wall Follower Berbasis Image Processing 移动门将系统采用基于Wall Follower图像处理的方式
Pub Date : 2020-10-10 DOI: 10.26418/elkha.v12i1.35245
Risfendra Risfendra, Asfinaldi Asfinaldi, Habibullah Habibullah, Julisardi Julisardi
One of Indonesian Robot Contest divisions is the Indonesia wheeled soccer robot contest. There are three players called the striker, defense and goalkeeper robot, which is drived by wheels that controlled based on three aferomentioned positions. This study aims build the goalkeeper robot equipped with image processing to detect the ball using a camera sensor that installed in the the robot system. The Image processing contructed using the python programming language with OpenCV library. The results of image processing are used as input data that controlled by Arduino Mega 2560, which is connected serially to the PC's USB port. The results shows the maximum linear velocity that can be achieved is 1.59 m/s. Furthermore, the efficiency ratio of analysis data to the actual distance is 86.77 %
印度尼西亚机器人大赛的一个分项是印度尼西亚轮式足球机器人大赛。机器人有前锋、后卫和守门员三名球员,由三个轮子驱动,根据上述三个位置进行控制。本研究的目的是利用安装在机器人系统中的摄像传感器,构建具有图像处理功能的守门员机器人来检测球。图像处理使用python编程语言与OpenCV库构建。图像处理的结果作为输入数据,由Arduino Mega 2560控制,串行连接到PC的USB口。结果表明,该方法可达到的最大线速度为1.59 m/s。分析数据与实际距离的效率比为86.77%
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引用次数: 3
Prototype Pengontrolan Lampu Dengan Menggunakan Ponsel Pintar Android Via Wifi Berbasis Mikrokontroler 光模模型使用Android智能手机通过基于微控制器的Wifi
Pub Date : 2020-10-10 DOI: 10.26418/elkha.v12i1.37133
Tur - Ahyo, M. Rahmad, Nur Imansyah
Everyone must have a rush outside the house, sometimes in a hurry even forget to turn off and turn on the light in the house during the morning or night. At times like this, of course, that makes people lazy to go back to the house to turn off the light that causes electricity waste and make time efficient to turn on the light. In this study a prototype of lighting control will be made where observations have been made about the prototype need. Then look for literature related to light control prototypes. The prototype method uses the blynk application as a light controller connected to the internet with the media via wifi. ESP-01 as a microcontroller processes commands from a smart phone which then results in controlling both the off and on the lights as well as the receiver and transmitter in the lighting control system. Thyristor switch module as an electrical switch instead of a manual switch at home to turn on or turn off the light through commands from the microcontroller. This prototype is very easy to use because through a prototype smart phone can be controlled, so this is a solution for humans to turn on or turn off the light by utilizing wifi in the house. From the experiments that have been carried out the average speed of the prototype tool receives an order from open source blynk application in 0.28 seconds
每个人都必须在房子外面匆忙,有时在匆忙中甚至忘记在早上或晚上关掉和打开房子里的灯。在这样的时候,当然,这会让人们懒得回到家里关灯,造成电力浪费,使时间有效地打开灯。在本研究中,将在对原型需求进行观察的地方制作照明控制原型。然后寻找与光控制原型相关的文献。原型方法使用blynk应用程序作为通过wifi与媒体连接到互联网的灯光控制器。ESP-01作为一个微控制器处理来自智能手机的命令,然后导致控制灯的关闭和打开以及照明控制系统中的接收器和发射器。可控硅开关模块作为一种电气开关,而不是家里的手动开关,通过微控制器的命令打开或关闭灯。这个原型非常容易使用,因为通过一个原型智能手机可以控制,所以这是一个解决方案,人类利用家里的wifi开灯或关灯。从已经进行的实验来看,原型工具从开源blynk应用程序接收订单的平均速度为0.28秒
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引用次数: 2
Sistem Kendali Intensitas Cahaya Lampu Penerangan Jalan Umum Menggunakan Transformator Variabel Berbasis Arduino Uno 公共道路照明照明强度控制系统使用基于Arduino Uno的可变变压器
Pub Date : 2020-10-10 DOI: 10.26418/elkha.v12i1.39771
Jefri Lianda, Adam Adam, Hikmatul Amri, Johny Custer
This research discusses the Arduino Uno based public street lighting intensity control system. The street lighting technology applied so far is still conventional technology that is classified as wasteful of energy because it still uses a continuous lighting system or an On-Off system. PJU problems arise because of too much power consumption caused by the use of large power lamps and lamp operating times. This research utilizes Arduino Uno and RTC to control the value of the variable voltage output transformer based on time division. This system has been able to control the voltage of 400 watt sodium lamps.  The output voltage of the transformer has been divided into three levels, namely level 1, level 2 and level 3. The division of this level is based on the operating time of the lights, namely level 1 at 1830 WIB to 2200 WIB, level 2 at 2201 WIB until 2359 WIB, level 3 at 0000 WIB until 0530 WIB. Transformer output voltage at level 1 can be 220 volts. The output voltage of the transformer at level 2 can be 210 volts. Transformer output voltage at level 3 can be 200 volts. The intensity of the 400 watt sodium lamp light at level 1 is an average of 99.9 lux. The intensity of the 400 watt sodium lamp light at level 2 is an average of 85.45 lux. The intensity of the 400 watt sodium lamp light at level 3 is an average of 78.6 lux.
本研究探讨了基于Arduino Uno的公共街道照明强度控制系统。到目前为止应用的街道照明技术仍然是传统的技术,被归类为能源浪费,因为它仍然使用连续照明系统或开关系统。PJU问题的出现是由于使用大功率灯具和灯具工作时间造成的功耗过大。本研究利用Arduino Uno和RTC基于时分控制变压输出互感器的值。该系统已能控制400瓦钠灯的电压。变压器的输出电压已分为三级,即1级、2级和3级。这一级别的划分是根据灯的运行时间,即1级在1830wib至2200wib, 2级在2201wib至2359wib, 3级在0000wib至0530。变压器1级输出电压可达220伏。2级变压器的输出电压可为210伏。3级变压器输出电压可达200伏。400瓦钠灯的光强度在一级平均为99.9勒克斯。400瓦钠灯2级光的强度平均为85.45勒克斯。400瓦钠灯的亮度在3级平均为78.6勒克斯。
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引用次数: 1
Implementasi Master-slave pada Embedded system menggunakan komunikasi RS485 实现主从式嵌入式系统孟古纳坎komunikasi RS485
Pub Date : 2020-10-10 DOI: 10.26418/elkha.v12i1.39166
Agusma Wajiansyah, S. Supriadi
The use of multiprocessor methods in robotics systems has a significant impact on overall robot performance. The Master-slave method is a model of a multiprocessor system where there are several processors that communicate with each other to carry out the robot's overall function. RS-485 can be used as a communication model in the master-slave method. RS-485 is a development of RS-232 which has the ability to communicate with several nodes. In this research, an experiment will be conducted to implement RS-485 to support the master-slave processor communication. Stages of research began with making system design, which includes the design of embedded hardware systems, the design of data communication protocols on RS-485 networks, software design, followed by implementation and testing. The test is carried out to measure the time response of the device to three data transmission models, namely broadcast, addressing slaves without responding and addressing slaves with responses. The test results carried out on three slaves with a communication speed of 9600 bps. Measured response time on broadcast data transmission is 8ms, and address slave without response is 7ms. Whereas delivery by addressing slaves with responses, shows that the measurement method cannot be applied.
在机器人系统中使用多处理器方法对机器人的整体性能有重大影响。主从方法是一种多处理器系统模型,其中有多个处理器相互通信以实现机器人的整体功能。RS-485可以作为主从方式的通信模型。RS-485是RS-232的发展,具有与多个节点通信的能力。在本研究中,将进行一个实验来实现RS-485以支持主从处理器通信。研究阶段从系统设计开始,包括嵌入式硬件系统设计、RS-485网络数据通信协议设计、软件设计、实现和测试。测试设备对广播、无响应的寻址从机和有响应的寻址从机三种数据传输模式的时间响应。测试结果在三个从机上进行,通信速度为9600bps。实测的广播数据传输响应时间为8ms,无响应的地址从站响应时间为7ms。然而,通过带响应的寻址奴隶的交付表明,测量方法不能应用。
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引用次数: 2
期刊
Elkha Jurnal Teknik Elektro
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