scholarly journals PERANCANGAN POWER MONITORING SYSTEM PADA PANEL SURYA SEBAGAI SUMBER UTAMA PADA SMART OPEN PARKING DALAM ARSITEKTUR IOT

TRANSIENT ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 819
Author(s):  
Galih Irvan Setiaji ◽  
Aghus Sofwan ◽  
Sumardi Sumardi

Panel surya sebagai salah satu alternatif pembangkit listrik yang ramah lingkungan dengan sumber energi berupa sinar matahari. Penggunaan yang praktis dan memiliki mobilitas untuk menjangkau daerah yang tidak tercakup dalam jangkauan listrik PLN menjadikan panel surya banyak digunaan dalam kehidupan masyarakat. Hal ini yang menjadi pertimbangan catu daya yang digunakan dalam sistem smart open parking. Penelitian ini bertujuan untuk merancang sistem charging dan monitoring daya yang dapat dilakukan secara realtime dan online. Sistem ini dilengkapi dengan sensor tegangan mengetahui tegangan, sensor arus ACS712 dan sensor DHT22 yang telah dikalibrasi dan terhubung dengan converter sebagai media konversi daya untuk mengisi baterai. Sistem ini menggunakan internet  yang terintegrasi database dan aplikasi android sebagai media untuk melakukan monitoring daya secara real time dan online sehingga sistem berjalan dengan prinsip IoT. Perancangan alat ini menggunakan Raspberry Pi 3 sebagai media pengolah dan pengirim data. Berdasarkan hasil penelitian, sistem dapat memantau tegangan, arus, dan daya dari panel surya, tegangan baterai, suhu dan kelembaban sistem  dengan tingkat rata-rata error pengukuran tegangan panel 0,12V, arus panel 0,004A, daya panel 0,34W, tegangan baterai 0,73V, suhu sistem 0,2oC dan kelembaban sistem 2,5%. Dengan demikian kondisi sistem yang dipantau sesuai dengan kondisi sebenarnya.

2015 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Irwansyah Irwansyah ◽  
Hendra Kusumah ◽  
Muhammad Syarif

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.


2021 ◽  
Vol 9 (2) ◽  
pp. 27-36
Author(s):  
Sheikh Hasib Cheragee ◽  
Nazmul Hassan ◽  
Sakil Ahammed ◽  
Abu Zafor Md. Touhidul Islam

We have Developed an IoT-based real-time solar power monitoring system in this paper. It seeks an opensource IoT solution that can collect real-time data and continuously monitor the power output and environmental conditions of a photovoltaic panel.The Objective of this work is to continuously monitor the status of various parameters associated with solar systems through sensors without visiting manually, saving time and ensures efficient power output from PV panels while monitoring for faulty solar panels, weather conditionsand other such issues that affect solar effectiveness.Manually, the user must use a multimeter to determine what value of measurement of the system is appropriate for appliance consumers, which is difficult for the larger System. But the Solar Energy Monitoring system is designed to make it easier for users to use the solar system.This system is comprised of a microcontroller (Node MCU), a PV panel, sensors (INA219 Current Module, Digital Temperature Sensor, LDR), a Battery Charger Module, and a battery. The data from the PV panels and other appliances are sent to the cloud (Thingspeak) via the internet using IoT technology and a Wi-Fi module (NodeMCU). It also allows users in remote areas to monitor the parameters of the solar power plant using connected devices. The user can view the current, previous, and average parameters of the solar PV system, such as voltage, current, temperature, and light intensity using a Graphical User Interface. This will facilitate fault detection and maintenance of the solar power plant easier and saves time.


Author(s):  
Fransiscus Yudi Limpraptono ◽  
Eko Nurcahyo ◽  
Mochammad Ibrahim Ashari ◽  
Erkata Yandri ◽  
Yahya Jani

The increasing demand for electrical energy and the decreasing supply of fossil fuels in recent years have increased the cost of electrical energy. So that the culture of saving electrical energy is a habit that must be cultivated in the community. On the other hand, energy-saving behavior cannot be realized massively without a support system that can control energy use. With these concerns, it is necessary to develop a method that encourages a culture of saving electrical energy. This paper proposes a system that supports active energy efficiency methods that can support an energy-efficient culture. This system is an electric power monitoring system that is integrated with a smart electrical panel that continuously monitors the use of electrical energy and can control electrical loads automatically, record electricity usage, provide comprehensive reports and analyze energy usage. The method used to carry out this research is research and development. This research has produced a prototype of electrical power control and monitoring system that has a smart panel based on a raspberry PI 3 and PZEM-004t power energy meter. The monitoring system performs and executes automatic control of electrical loads. The system can also provide reports in the form of data monitoring in daily, weekly, monthly or annual period. From the test results, it can be concluded that the system can work well. This research is expected to contribute to providing a system that can support government efforts in saving energy.


2019 ◽  
Vol 55 (1) ◽  
pp. 43-50 ◽  
Author(s):  
Long Zhao ◽  
Igor B. M. Matsuo ◽  
Farshid Salehi ◽  
Yuhao Zhou ◽  
Wei-Jen Lee

2020 ◽  
Vol 12 ◽  
pp. 100292 ◽  
Author(s):  
Mani Dheeraj Mudaliar ◽  
N. Sivakumar

Author(s):  
G Sai Kiranmayi ◽  
B Bhanu ◽  
B Manikanta ◽  
N Ashok ◽  
G Govinda Raju

The main objective of this paper is to develop a virtual environment for detecting suspicious and targeted places for user without any loss of human life.The purpose of this project is to regulate robot with interface board of the raspberry pi,sensors and software to full fill real time equipment. There are sundry surveillance systems such as camera, CCTV etc. available in the market. In these systems, the person located in that particular area can only view what is transpiring in that place. We proposed a system to build an authentictime live streaming and monitoring system utilizing Raspberry pi with installed Wi-Fi connectivity. It can continuously monitor the objects. Robot can move in every direction (left, right,forward and backward). The webcam which is placed on the robotic unit will capture the video and it transmits vivacious to the remote end. The major application of this paper can be analysed utilizing HTML web page which can be acclimated to control the movement of the robot.


Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6349
Author(s):  
Jawad Ahmad ◽  
Johan Sidén ◽  
Henrik Andersson

This paper presents a posture recognition system aimed at detecting sitting postures of a wheelchair user. The main goals of the proposed system are to identify and inform irregular and improper posture to prevent sitting-related health issues such as pressure ulcers, with the potential that it could also be used for individuals without mobility issues. In the proposed monitoring system, an array of 16 screen printed pressure sensor units was employed to obtain pressure data, which are sampled and processed in real-time using read-out electronics. The posture recognition was performed for four sitting positions: right-, left-, forward- and backward leaning based on k-nearest neighbors (k-NN), support vector machines (SVM), random forest (RF), decision tree (DT) and LightGBM machine learning algorithms. As a result, a posture classification accuracy of up to 99.03 percent can be achieved. Experimental studies illustrate that the system can provide real-time pressure distribution value in the form of a pressure map on a standard PC and also on a raspberry pi system equipped with a touchscreen monitor. The stored pressure distribution data can later be shared with healthcare professionals so that abnormalities in sitting patterns can be identified by employing a post-processing unit. The proposed system could be used for risk assessments related to pressure ulcers. It may be served as a benchmark by recording and identifying individuals’ sitting patterns and the possibility of being realized as a lightweight portable health monitoring device.


2013 ◽  
Vol 339 ◽  
pp. 118-124
Author(s):  
Won Hyuck Choi ◽  
Min Seok Jie

Since, low carbon, green growth became the global task, smart grid concept emerges as a centre of revolution of green energy industry which minimizes green house gas. Smart grid is combining ubiquitous technology with existing power grid to increase trustworthy, efficiency, safety of the power grid. Real time power measuring and its monitoring are necessary for safe energy supply, in this thesis, suggesting WEMS (Wireless electric power measurement monitoring system). WEMS has been design based on current commercialized power measuring systems analysis with improvement and connects it with most talked about item, smart phone and monitoring system. And also adopting real time power measuring system, constitute more practical power measuring system by controlling electricity usage in real time.


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