scholarly journals Sistem Monitoring Penggunaan Beban Pada Proses Pengosongan Baterai 100WP Menggunakan Sensor PZEM-004T

Author(s):  
Rafika Andari

In this study, a prototype tool of plts battery discharge monitoring system was created that aims to facilitate in monitoring plts system, solar panel battery usage monitoring system equipped with arduino microcontroller, current sensor, voltage and power that has been calibrated, so that the data acquisition system integrated in arduino microcontroller based system can be obtained in real time. From the results of the study, according to the microcontroller planner used in this final task is arduino UNO328 and sensor PZEM-004T. This monitoring tool is capable of reading voltage, current, power, cosphi and battery capacity in percent at the time of load supply.

2016 ◽  
Vol 18 (4) ◽  
pp. 10
Author(s):  
Tsamaroh Nidaa Putri ◽  
Priyo Sasmoko

           Tsamaroh Nidaa Putri, Priyo Sasmoko explains that accumulator is a combination of several pieces of cells used for altering the chemical energy into electricity energy used in motor vehicles. Accumulators are used continuously will shrink and drop so it needs to be recharged. To know the state of the battery voltage drop experienced the need for a measurement to determine the ability of the accumulator. Design manufacture accumulator discharge monitoring tool consists of a voltage divider circuit to know the big accumulator voltage in percentage form. Used also an ACS712 current sensor to detect the discharge current and LM35 temperature sensor to determine the temperature of the accumulator. The control system used is the Arduino UNO microcontroller and an LCD for displaying the measurement data. Normal voltage ranges accumulator 12,5V - 13,8V. Accumulator with a capacity of 5Ah takes 8 hours to process discharge when using 20 watt lamp load. If the voltage of the first accumulator on the LCD shows the percentage of 0 % then automatically the system will work to discharge  for a second accumulator. The duration of use depends on the large accumulator load used. Keyword:Accumulator, ACS712,  capacity accumulator, Arduino UNOReferencesAgustin, Leonandi. 2015. Rancang Bangun Sistem Monitoring Kondisi Aki Pada Kendaraan Bermotor. Skripsi. Universitas Tanjungpura Pontianak.Andri, Helly. 2010.  Rancang Bangun System Battery Charging Automatic. Skripsi S1 Teknik Elektro Fakultas Teknik Universitas Indonesia.Asnan, Zainal. 2007. Alat Pengecekan Kapasitas Aki (Accu) Berbasis Personal Computer. Skripsi. Universitas Katolik Widya Mandala Surabaya.Bishop, Owen. 2004. Dasar-dasar Elektronika. Jakarta: Erlangga, Alih Bahasa Irzam Harmein.Fadli, Usman. 2015. Aplikasi Sensor Arus ACS712 Dan Borland Delphi 7.0 untuk Monitoring Penggunaan Daya Listrik pada Rumah Berbasis Arduino UNO. Tugas Akhir. Universitas Diponegoro.Frank D. Petruzella., 2001, Elektronika Industri. Yogyakarta: Penerbit ANDI, Penerjemah Suminto, Drs. MA.,Kadir, Abdul. 2013. Panduan Praktis Mempelajari Aplikasi Mikrokontroler dan Pemrogamannya Menggunakan Arduino. Yogyakarta: Penerbit ANDI.Marpaung, May Harpri Rabiman. 2014. Monitoring Suhu dengan Menggunakan Sensor Suhu LM35 Serta Pengaturan Suhu Pada Otomatisasi Dispenser Berbasis Arduino UNO dengan Tampilan LCD. Tugas Akhir. Universitas Diponegoro.Salim, Emil. 2014. Perancangan dan Implementasi Telemetri Suhu Berbasis Arduino UNO, Skripsi. Universitas Sumatra Utara.Setiyawan, Danang Duwi. 2015. Pengisi Baterai Akumulator Otomatis Berbasis Mikrokontroller. Tugas Akhir. Universitas Gajah Mada.Tooley, Michael. 2003. Rangkaian Elektronik Prinsip dan Aplikasi. Jakarta: Erlangga, Alih Bahasa Irzam Harmein


2002 ◽  
Vol 122 (11) ◽  
pp. 1226-1231
Author(s):  
Tatsuro Kato ◽  
Fumihiro Endo ◽  
Shingo Hironaka

2019 ◽  
Vol 20 (3) ◽  
pp. 91
Author(s):  
Hanif Zuraida ◽  
Heru Winarno

 Hanif Zuraida, Heru Winarno, in this article describes the simulation of protection equipment coordination systems, especially in the recloser and sectionalizer areas. Coordination between protective equipment to improve the network reliability system so that in the event of a disturbance, the area affected by the disturbance does not spread widely. The simulation tool is made using OMRON LY2N 12V relay, ULN2803 relay driver circuit, ZMCT103C current sensor, voltage divider voltage sensor, pull down, 12V 6W lamp as a load and several resistors with different resistivity values as interference. Arduino Mega 2560 is used as the central controller for the entire circuit. After the experiment, the results obtained are when the normal network current at the recloser is 0.86 A and the current at the LBS SSO1 is 0.43. The recloser and LBS SSO1 coordination lies in zone 2 and 3 disturbances. When simulated zone 2 interference, the recloser current rises to 1.28 A, causing reclose / trip to lock out recloser. When the recloser feels a fault current in zone 3 of 1.06 A and LBS SSO1 senses a current of 0.64 A. The recloser as protective equipment will open first within 1000 ms after sensing the disturbance. When the recloser opens, the voltage on the SSO will be 0 volts and the SSO will open within 1000 ms after the current and disturbance requirements are met. Then the recloser will close again after 2000 ms from the open condition.


2016 ◽  
Vol 12 (04) ◽  
pp. 46
Author(s):  
Pedro José Sousa ◽  
Manuel Rodrigues Quintas ◽  
Paulo Abreu

This work describes the development of an embedded electronic-based monitoring system suitable for cold-storage electrical equipment. The system uses a touchscreen and provides sensors for temperature, relative humidity, electric power consumption and detection of door position. To monitor the electric power, a special purpose current sensor was developed and calibrated. The system adopts a modular architecture using cabled and wireless communications, making it suitable for integration in other logging and alarm generation systems. The system was tested on a home fridge to demonstrate its capabilities.


2017 ◽  
Author(s):  
S. A. Z. Murad ◽  
A. Harun ◽  
S. N. Mohyar ◽  
R. Sapawi ◽  
S. Y. Ten

2012 ◽  
Author(s):  
Zhihao Chen ◽  
Kim Teck Ng ◽  
Jun Hong Ng ◽  
James Yong Kwee Koh ◽  
Ju Teng Teo ◽  
...  

Water ◽  
2021 ◽  
Vol 13 (17) ◽  
pp. 2321
Author(s):  
Federica Bruno ◽  
Mauro De Marchis ◽  
Barbara Milici ◽  
Domenico Saccone ◽  
Fabrizio Traina

Efficient management of water distribution networks (WDNs) is currently a focal point, especially in countries where water scarcity conditions are more and more amplified by frequent drought periods. In these cases, in fact, pressure becomes the fundamental variable in managing the WDNs. Similarly, WDNs are often obsolete and affected by several points of water losses. Leakages are mainly affected by pressure; in fact, water utilities usually apply the technique of pressure management to reduce physical losses. It is clear how pressure plays a fundamental role in the management of WDNs and in water safety. Even though the technologies are quite mature, these systems are often expensive, especially if a capillarity monitoring system is required; thus, water managers apply the measurement of the flow rate and pressure at very few points. Today, the implementation of the Internet of things (IoT) can be considered a key strategy for monitoring water distribution systems. Once the sensors are installed, in fact, it is relatively easy to build a communication system able to collect and send data from the network. In the proposed study, a smart pressure monitoring system was developed using low-cost hardware and open-source software. The prototype system is composed of an Arduino microcontroller, a printed circuit board, and eight pressure transducers. The efficiency of the proposed tool was compared with a SCADA monitoring system. To investigate on the efficiency of the proposed measurement system, an experimental campaign was carried out at the Environmental Hydraulic Laboratory of the University of Enna (Italy), and hydrostatic as well as hydrodynamic tests were performed. The results showed the ability of the proposed pressure monitor tool to have control of the water pressure in a WDN with a simple, scalable, and economic system. The proposed system can be easily implemented in a real WDN by water utilities, thus improving the knowledge of pressure and increasing the efficiency level of the WDN management.


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