RANCANG BANGUN TRACKING ARAH TEMBAKAN MENGGUNAKAN SENSOR POSISI BERBASIS PID

2021 ◽  
Vol 7 (1) ◽  
pp. 43-48
Author(s):  
Agung Raharjo ◽  
Eko Kuncoro ◽  
Imam Azhar
Keyword(s):  
Real Time ◽  
Data Communication ◽  
Raspberry Pi ◽  
Long Distance ◽  
Visualization System ◽  
Control Command ◽  
Combat Unit ◽  
Army Personnel ◽  
Automation Technology ◽  
Research Show

Seiring dengan perkembangan teknologi komunikasi dan otomasi, pelaksanaan tugas militer dapat dibantu dengan mengembangkan alutsista militer. Salah satunya pengembangan robot tempur yang akan digunakan sebagai alat untuk membantu tugas operasi jarak jauh pada satuan tempur TNI AD. Pada robot tempur tersebut akan ditanamkan sistem komunikasi data berupa perintah kendali laju robot, perintah kendali senjata serang, dan sistem visualisasi yang dapat digunakan untuk mendukung pergerakan robot hingga mencapai sasaran yang ditentukan, serta sebagai sistem penginderaan jarak jauh robot tempur untuk memonitor area musuh yang akan ditinjau. Operator menggunakan sebuah joystick untuk mengendalikan robot tempur dan tablet Android untuk memantau dan mendeteksi arah sasaran. Penelitian ini membahas tentang perancangan pendeteksian sasaran tembak yang dapat dikendalikan dari jarak jauh. Metode yang digunakan adalah metode eksperimen berbasis PID. Penelitian ini berfokus pada pendeteksian sasaran tembak yang nantinya akan terhubung dengan Raspberry Pi 3, sehingga senjata dapat mendeteksi adanya sasaran tembak yang ada di dalam jangkauan sensor posisi. Hasil dari penelitian menunjukkan bahwa robot dapat dikendalikan dengan mudah menggunakan joystick dan secara real-time terlihat pada layar Android yang terpasang pada kontrol joystick tersebut. Selain itu, sistem juga dapat membedakan antara sasaran tembak dan objek yang bukan sasaran tembak. Penelitian ini diharapkan dapat mendukung tugas operasi personel TNI dalam menjalankan misinya dengan memanfaatkan robot tempur. Along with the development of communication and automation technology, the implementation of military duties can be assisted by developing military defense equipment. One of them is the development of a combat robot that will be used as a tool to assist the task of long-distance operations on the Army combat unit. In the combat robot, a data communication system will be implanted in the form of a robot rate control command, an attack weapon control command, and a visualization system that is used to support the robot's movement to reach the target specified as a combat robot's remote sensing system for monitoring enemy areas to be reviewed. The operator has used a joystick to control the combat robot and to detect the direction of the target can be monitored with an android tablet. This research discusses the design of the detection of target fire that can be controlled remotely. The method used is experimental based on PID. This research focused on detecting firing targets that will be connected with Raspberry Pi 3 so that the weapon can detect the presence of firing targets within the position sensor. The results of the research show that the robot can be easily controlled using a Joystick and in real-time visible on the Android screen mounted on the Joystick control, the system can distinguish between target shooting and non-target objects. This research is expected to support the operational duties of army personnel in carrying out their missions by utilizing combat robots.

scholarly journals Implementation of ANN-Based Embedded Hybrid Power Filter Using HIL-Topology with Real-Time Data Visualization through Node-RED

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7127
Author(s):  
Raffay Rizwan ◽  
Jehangir Arshad ◽  
Ahmad Almogren ◽  
Mujtaba Hussain Jaffery ◽  
Adnan Yousaf ◽  
...  
Keyword(s):  
Real Time ◽  
Data Visualization ◽  
Data Communication ◽  
Primary Data ◽  
Raspberry Pi ◽  
Ann Model ◽  
Time Data ◽  
Real Time System ◽  
Power Filter ◽  
Real Time Data

Electrical power consumption and distribution and ensuring its quality are important for industries as the power sector mandates a clean and green process with the least possible carbon footprint and to avoid damage of expensive electrical components. The harmonics elimination has emerged as a topic of prime importance for researchers and industry to realize the maintenance of power quality in the light of the 7th Sustainable Development Goals (SDGs). This paper implements a Hybrid Shunt Active Harmonic Power Filter (HSAHPF) to reduce harmonic pollution. An ANN-based control algorithm has been used to implement Hardware in the Loop (HIL) configuration, and the network is trained on the model of pq0 theory. The HIL configuration is applied to integrate a physical processor with the designed filter. In this configuration, an external microprocessor (Raspberry PI 3B+) has been employed as a primary data server for the ANN-based algorithm to provide reference current signals for HSAHPF. The ANN model uses backpropagation and gradient descent to predict output based on seven received inputs, i.e., 3-phase source voltages, 3-phase applied load currents, and the compensated voltage across the DC-link capacitors of the designed filter. Moreover, a real-time data visualization has been provided through an Application Programming Interface (API) of a JAVA script called Node-RED. The Node-RED also performs data transmission between SIMULINK and external processors through serial socket TCP/IP data communication for real-time data transceiving. Furthermore, we have demonstrated a real-time Supervisory Control and Data Acquisition (SCADA) system for testing HSAHPF using the topology based on HIL topology that enables the control algorithms to run on an embedded microprocessor for a physical system. The presented results validate the proposed design of the filter and the implementation of real-time system visualization. The statistical values show a significant decrease in Total Harmonic Distortion (THD) from 35.76% to 3.75%. These values perfectly lie within the set range of IEEE standard with improved stability time while bearing the computational overheads of the microprocessor.

Design of Mobile Meteorological Monitor Based on Wireless Sensor Network

2013 ◽  
Vol 303-306 ◽  
pp. 938-944 ◽  
Author(s):  
De Bin Xiu ◽  
Qi Sun ◽  
Chun Zhi Ge ◽  
Yi Luo ◽  
Yuan Ting Du ◽  
...  
Keyword(s):  
Real Time ◽  
Communication Technology ◽  
Local Area Network ◽  
Meteorological Data ◽  
Data Communication ◽  
Base Station ◽  
Wireless Sensor ◽  
Area Network ◽  
Long Distance ◽  
Distance Data

In order to monitor meteorological parameters such as temperature, humidity, pressure, wind speed and wind direction, a meteorological monitor system of wireless sensor networks was analyzed, which was based on the combination of Zigbee and GPRS communication technology. Short-distance data transmission was achieved through sensors local-area network completed by Zigbee technology, and long-distance data communication was achieved through GPRS technology. Terminal devices distributed in environment collected real-time data gained by sensors, and sent the data to the base station via Zigbee communication technology. The data was received and processed by Mobile base station and base stations choose to use GPRS or Ethernet technology access to Internet and transferred data to the monitoring center. Experimental results show that: temperature accuracy can reach 0.2°C, humidity accuracy can achieve 3.0%RH, and the pressure accuracy is up to 1.5mbar. The Meteorological data is real-time transmitted and the system solves the problem of data loss.

CDMA VPDN-Based Wireless Data Communication System for Mobile Pipeline Patrol

2013 ◽  
Vol 347-350 ◽  
pp. 2106-2110
Author(s):  
Fei Sun ◽  
Jun Yuan Song ◽  
Jun Xia Xu
Keyword(s):  
Real Time ◽  
Communication System ◽  
Data Communication ◽  
Management Service ◽  
Wireless Data ◽  
Long Distance ◽  
Oil Transportation ◽  
High Efficient ◽  
Wireless Data Communication ◽  
Private Network

Communication is the basic method to guarantee oil transportation command and scheduling of mobile long-distance pipeline and is the nervous system of the mobile pipeline. Based on the characteristics such as varied topography of the region it extends, long distance between stations, large volume of data transmitted and high requirement for security and relying on the private network of Telecom CDMA VPDN, the wireless data communication system for pipeline patrol integrating task management, service filing, real-time communication and positioning & navigation is established. The experiment proves that the system establishes safe and reliable real-time communication and achieves desired effects and smooth high-efficient upstream & downstream data transmission. It is of significance to improve patrol efficiency and quality and to guarantee oil transportation security of the pipeline.

PROTOTYPE ALAT PEMANTAU SALURAN AIR BAWAH TANAH DENGAN MENGGUNAKAN WEBCAM C170 BERBASIS RASPBERRY PI

2015 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Irwansyah Irwansyah ◽  
Hendra Kusumah ◽  
Muhammad Syarif
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Public Awareness ◽  
Underground Water ◽  
Raspberry Pi ◽  
Laptop Computer ◽  
Web Browser ◽  
Disaster Monitoring ◽  
The Times ◽  
Human Desire

Along with the times, recently there have been found tool to facilitate human’s work. Electronics is one of technology to facilitate human’s work. One of human desire is being safe, so that people think to make a tool which can monitor the surrounding condition without being monitored with people’s own eyes. Public awareness of the underground water channels currently felt still very little so frequent floods. To avoid the flood disaster monitoring needs to be done to underground water channels.This tool is controlled via a web browser. for the components used in this monitoring system is the Raspberry Pi technology where the system can take pictures in real time with the help of Logitech C170 webcam camera. web browser and Raspberry Pi make everyone can control the devices around with using smartphone, laptop, computer and ipad. This research is expected to be able to help the users in knowing the blockage on water flow and monitored around in realtime.

45. Education at distance: Broadcasting ECG rounds to Southeastern Ontario (BESO Project). An innovative approach for teaching electrocardiography

2007 ◽  
Vol 30 (4) ◽  
pp. 51 ◽  
Author(s):  
A. Baranchuk ◽  
G. Dagnone ◽  
P. Fowler ◽  
M. N. Harrison ◽  
L. Lisnevskaia ◽  
...  
Keyword(s):  
Health Care ◽  
Real Time ◽  
Digital Signal ◽  
Teaching Methodology ◽  
Care Providers ◽  
Long Distance ◽  
Medicine Clerkship ◽  
Time Problem ◽  
The Impact ◽  
Ecg Interpretation

Electrocardiography (ECG) interpretation is an essential skill for physicians as well as for many other health care professionals. Continuing education is necessary to maintain these skills. The process of teaching and learning ECG interpretation is complex and involves both deductive mechanisms and recognition of patterns for different clinical situations (“pattern recognition”). The successful methodologies of interactive sessions and real time problem based learning have never been evaluated with a long distance education model. To evaluate the efficacy of broadcasting ECG rounds to different hospitals in the Southeastern Ontario region; to perform qualitative research to determine the impact of this methodology in developing and maintaining skills in ECG interpretation. ECG rounds are held weekly at Kingston General Hospital and will be transmitted live to Napanee, Belleville, Oshawa, Peterborough and Brockville. The teaching methodology is based on real ECG cases. The audience is invited to analyze the ECG case and the coordinator will introduce comments to guide the case through the proper algorithm. Final interpretation will be achieved emphasizing the deductive process and the relevance of each case. An evaluation will be filled out by each participant at the end of each session. Videoconferencing works through a vast array of internet LANs, WANs, ISDN phone lines, routers, switches, firewalls and Codecs (Coder/Decoder) and bridges. A videoconference Codec takes the analog audio and video signal codes and compresses it into a digital signal and transmits that digital signal to another Codec where the signal is decompressed and retranslated back into analog video and audio. This compression and decompression allows large amounts of data to be transferred across a network at close to real time (384 kbps with 30 frames of video per second). Videoconferencing communication works on voice activation so whichever site is speaking has the floor and is seen by all the participating sites. A continuous presence mode allows each site to have the same visual and audio involvement as the host site. A bridged multipoint can connect between 8 and 12 sites simultaneously. This innovative methodology for teaching ECG will facilitate access to developing and maintaining skills in ECG interpretation for a large number of health care providers. Bertsch TF, Callas PW, Rubin A. Effectiveness of lectures attended via interactive video conferencing versus in-person in preparing third-year internal medicine clerkship students for clinical practice examinations. Teach Learn Med 2007; 19(1):4-8. Yellowlees PM, Hogarth M, Hilty DM. The importance of distributed broadband networks to academic biomedical research and education programs. Acad Psychaitry 2006;30:451-455

Walking Motion Real-time Detection Based on Walking Stick Equipped with MPU and Raspberry Pi

2019 ◽  
Author(s):  
Junyi Wang ◽  
Mohamad Saada ◽  
Haibin Cai ◽  
Qinggang Meng
Keyword(s):  
Real Time ◽  
Raspberry Pi ◽  
Walking Motion ◽  
Real Time Detection ◽  
Walking Stick

Application of the Real-Time EtherCAT Technology in Wind Power Control System

2012 ◽  
Vol 580 ◽  
pp. 155-159
Author(s):  
Xiang Ming Wang ◽  
Jin Chao Wang ◽  
Dong Hua Sun
Keyword(s):  
Control System ◽  
Real Time ◽  
Wind Power ◽  
High Speed ◽  
Communication Protocol ◽  
Data Communication ◽  
Data Acquisition System ◽  
Slave System ◽  
The Real ◽  
Wind Power System

In this paper, the real-time EtherCAT technology is introduced in detail, which including operating principle, communication protocol and the superiority performance of EtherCAT i.e. synchronicity, simultaneousness and high speed. To show how to design a slave system that considering the characteristics of application, the method of developing systems based no EtherCAT technology are proposed. Finally, a data acquisition system based on EtherCAT technology is designed. Application of EtherCAT technology can improve the real-time characteristics of data communication in wind power system.

scholarly journals Development of a Raspberry Pi-Based Sensor System for Automated In-Field Monitoring to Support Crop Breeding Programs

Inventions ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 42
Author(s):  
Worasit Sangjan ◽  
Arron H. Carter ◽  
Michael O. Pumphrey ◽  
Vadim Jitkov ◽  
Sindhuja Sankaran
Keyword(s):  
Real Time ◽  
Imaging System ◽  
Crop Growth ◽  
Sensor System ◽  
Plant Phenotyping ◽  
Raspberry Pi ◽  
The Internet ◽  
Growth Stages ◽  
Crop Breeding ◽  
Breeding Programs

Sensor applications for plant phenotyping can advance and strengthen crop breeding programs. One of the powerful sensing options is the automated sensor system, which can be customized and applied for plant science research. The system can provide high spatial and temporal resolution data to delineate crop interaction with weather changes in a diverse environment. Such a system can be integrated with the internet to enable the internet of things (IoT)-based sensor system development for real-time crop monitoring and management. In this study, the Raspberry Pi-based sensor (imaging) system was fabricated and integrated with a microclimate sensor to evaluate crop growth in a spring wheat breeding trial for automated phenotyping applications. Such an in-field sensor system will increase the reproducibility of measurements and improve the selection efficiency by investigating dynamic crop responses as well as identifying key growth stages (e.g., heading), assisting in the development of high-performing crop varieties. In the low-cost system developed here-in, a Raspberry Pi computer and multiple cameras (RGB and multispectral) were the main components. The system was programmed to automatically capture and manage the crop image data at user-defined time points throughout the season. The acquired images were suitable for extracting quantifiable plant traits, and the images were automatically processed through a Python script (an open-source programming language) to extract vegetation indices, representing crop growth and overall health. Ongoing efforts are conducted towards integrating the sensor system for real-time data monitoring via the internet that will allow plant breeders to monitor multiple trials for timely crop management and decision making.

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