Rancang Bangun Sistem Monitoring Listrik Tiga Fasa Berbasis Wireless Sensor Network Menggunakan LoRa Ra-02 SX1278

Pada sistem kelistrikan, monitoring perlu dilakukan untuk mengatasi terjadinya gangguan dan pemanfaatan energi listrik yang kurang efektif. Monitoring listrik saat ini masih dilakukan menggunakan alat ukur sederhana dan pencatatan nilai terukur secara manual. Kekurangan tersebut dapat diatasi dengan merancang sebuah sistem monitoring listrik tiga fasa jarak jauh berbasis wireless sensor network (WSN) menggunakan komunikasi LoRa. Sistem yang dibangun terdiri dari node transmitter sebagai alat ukur tegangan, arus listrik, frekuensi, faktor daya, dan daya aktif dengan memanfaatkan modul PZEM- 004T. Node receiver berfungsi sebagai gateway yang dapat menerima data dari node transmitter secara wireless. Data yang diterima receiver kemudian disimpan ke database melalui server menggunakan jaringan internet. Ketika node receiver tidak terkoneksi dengan jaringan WiFi, data akan secara otomatis disimpan pada micro SD card. Web monitoring dirancang untuk memudahkan pengguna mengakses data monitoring listrik. Web monitoring akan menampilkan data tegangan, arus listrik, frekuensi, dan faktor daya dalam sistem satu fasa serta daya aktif dalam bentuk tiga fasa ke dalam bentuk tabel dan grafik.

Development of Stand-Alone DC Energy Datalogger for Off- Grid PV System Application Based on Microcontroller

This article presents a microcontroller-based direct current (DC) energy data logger developed by adapting low-cost ATmega328 by measuring the PV system DC and voltage characteristics while simultaneously recording the measured value over time to compute the energy production Watt-hour (Wh). The prototype logger has been tested on a live 1 kW standalone PV system where the voltage sensor detects PV series array output voltage ranging between 0–50 VDC by a voltage divider sensing circuit. For accurate sensing of the current output measurement from the PV array, 50A ACS756 hall effect IC was integrated as the current sensor. The data was measured and saved in text format with comma-separated values (CSV) in an SD card, read using Microsoft Excel software. The liquid crystal display (LCD) showed the actual value of the recording process’s current, voltage, power, and duration in minutes. The recorded data has been compared to the standard laboratory digital multimeter for calibration manually to justify the measurement value. The error is minimized to 0.6% average by varying the constant float value in the programming code. The advantage of developing this logger is that the development cost is much cheaper than the standard commercial PV energy meter, can be reproduced for other DC application energy measurements, and easily modify the voltage and current range to suit the application. Apart from that, this logger also provides high accuracy performance, and its independent characteristic is practical for off-grid or off-site PV system use.

Toprak Hidrolik İletkenlik Ölçümünün Atölye Koşullarında Modellenmesi

The aim of this study is to model the system that measures soil hydraulic conductivity using Programmable Logic Control (PLC), pressure transducer and motor pump in workshop conditions. In the study, a plastic pipe with a length of 2 m and a diameter of 100 was prepared to simulate an auger hole. In addition, a set was created using PLC and its module. In the hydraulic conductivity measurement system, the auger hole method (the bottom of the auger hole is above the impermeable layer) is used. Using the auger-hole equation, the system’s program was written in CODESYS-ST language and uploaded to the PLC. As a result of the regression analysis between the water head in the pipe (auger-hole) measured by hand (ESY) and PLC (PLCSY), an equation as PLCSY = 0,99ESY + 1,69 (R² = 1) was obtained and the Mean Absolute Percent Error (MAPE) of these two data sets was calculated as 0,41%. Each hydraulic conductivity measurement time is approximately 5, 6 and 8 minutes when the valve is fully open and half open and one-third open. The distance from the pipe base to the static level (d, cm) was measured as averages of 122.83, 123.91 and 123.7 cm on, respectively. In the first quarter section, the average times taken for the water level to rise from 20 to 25, 25 to 30, 30 to 35 and 35 to 40 was determined as 4.4, 6.0 and 26.1 seconds, respectively. The hydraulic conductivity values were calculated as 18.6, 13.2 and 3.1 cm/hour at the valve openings, respectively. The measured data is saved on an SD card. All of these processes are done automatically. The expectation that this system will measure hydraulic conductivity accurately, economically and quickly in field conditions is high and should be tested in field conditions.

Single-axis solar tracking system referring to date and time

This article is about designing and building a single-axis solar tracking system referring to the sun position database. The objectives are as follows: 1. to design and build a solar tracking system, and, 2. to compare the power produced from the solar tracking system with that from the stationary solar panel. The angle of the solar panel from the solar tracking system is positioned at a constant altitude angle, 15 degrees, facing south, and the moving part was the azimuth, which follows the position of the sun. Latitude and longitude coordinates are identified by an Arduino UNO R3 microcontroller board for processing data, reading coordinates of the sun’s angle degrees from the SD card module, and commanding the servo motor to rotate to adjust the angle of the solar panel in a position perpendicular to the sun. Results from the experiment were collected in October 2020 from 9 AM to 4 PM. The system changed the angle degree every 30 minutes. It is found that the solar tracking system can easily be created and controlled, and can also accurately follow the sun’s position all day long. Moreover, it can generate more electric power than that generated by the stationary solar panel by up to 15%. The system is applicable and can generate more electric power than other tracking systems, although the results were collected during the rainy season when the weather was generally cloudy and rainy throughout the month.

Microcontroller based Multifunctional Automated Weather Monitoring and Logging System

This paper describes a microcontroller-based prototype Automated Weather Monitoring and Logging System that can col- lect meteorological data such as air temperature, relative humidity, atmospheric pressure, light intensity, and rain detection from any distant location. The Weather Monitoring and Logging System is entirely automated, and measured weather data is transferred to a public server while showing immediate data on a liquid crystal display (LCD) and stored to a Secure Digital (SD) card. For private viewers, Android-based smart phones may be interfaced with the weather station and operated via the android application. The weather station is supplied by a direct current (DC) source, with a backup rechargeable battery. In the event of an emergency power outage, the system will immediately switch to battery power. Two Atmega 328p and Two ESP 8266 microcontrollers are utilized as the core of the control and coordination of the relative multitude of exercises of the singular modules. All of the sensors in the systems have been calibrated, ensuring that the system’s accuracy seems to be exceptional. This system will benefit all users, and it will benefit the meteorological industry because it will allow them to work from a remote location. Keywords: Automated Weather Station; Microcontroller; Sensor; Meteorological Instrument

Development of Real-Time Monitoring System for an Off-Grid Photovoltaic System

In operating a photovoltaic system, it is required to employ hardware and software systems to monitor the parameter of the results of the solar panel conversion. Usually, monitoring the photovoltaic system is done by manual gauges and recording the measured results manually which would require a human hand. The present research designed and developed a real-time monitoring system for an off-grid photovoltaic system that could monitor the photovoltaic system performance automatically. The monitoring system design has 2 (two) subsystems. The first subsystem is a hardware system in the form of an electronic data logger system equipped with an SD card. This allowed data to be recorded on an SD card. The second sub-system is a software design developed using Microsoft in Visual Basic. The hardware and software were connected to monitor the photovoltaic results and recorded the obtained data in an SD card for further analysis.

Pemantau Gas Metana, Suhu, dan Kelembaban sebagai Penyebab Efek Rumah Kaca Dipadang Lamun Berbasis Internet Of Things

Seagrass is a plant that covers coastal areas/shallow seas that can produce methane gas (CH4) during the decomposition process. The occurrence of decay caused by microbes in seagrass plants that have died in the process produces methane gas (CH4) as the cause of the greenhouse effect. Methane gas monitoring system (CH4) is proposed using MQ-4 sensor, temperature and humidity sensor (DHT11) using NodeMCU ESP8266 module, SD Card module as backup data storage and processed with local database and through mysql database the data will be displayed on the website page for information. . From the tests carried out, the response time for DHT11 is 5.6 seconds and MQ-4 is 1.5 seconds. It has a reading sensitivity rate of 99.92% for DHT11, 99.997% for MQ-4. The accuracy rate for DHT11 is a multiple of 1. For the MQ-4 sensor it has an accuracy level of 2 digits behind the comma. The tool has a data transfer rate of up to that which appears on the front-end 0.2736. With this tool, checking measurement results can be done quickly and can be done from anywhere.

Nine Channel Temperature Data Logger in Measuring the Effectiveness of the Sterilization Process of Medical Instruments with Dry Sterilization

Measuring the temperature on the dry sterilizer is very necessary because the temperature inside the dry sterilizer has the possibility that the temperature is not the same as the temperature that has been set and is displayed on the display. If the temperature in the dry sterilizer does not match the standard setting temperature for the sterilization process, then the sterilization process is said to be imperfect The purpose of this study is to record and monitor whether the distributed temperature in the sterilization chamber corresponds to the setting temperature. The workings of the temperature data logger tool is that the type K thermocouple temperature sensor will detect the temperature which then enters the analog signal conditioning circuit which then enters the ATMegga 2560 which has been given a program and processed in such a way, then the temperature will be displayed on a 4x20 character LCD. Temperature measurement data will be saved to the SD Card every 10 seconds in the form of a TXT file. This research has been used to record 2 sterilizers and compared with the Madgetech OctTemp2000 data logger. Based on data measurements and comparisons, the average error was obtained at a temperature of 50ºC with the smallest error value of 0.7% and the largest value of 3.9%. At a temperature of 100ºC, the smallest error value is 1.6% and the largest is 10.5%. Then at a temperature of 120ºC the smallest error value is 0.0% and the largest is 8.5%. This research can be used to help analyze the distribution of temperature in a room. With these measurement results, it can be said that this study still has afairly high error value at several measurement points.

A Digital Pressure Meter Equipped with Pressure Leak Detection

A manual sphygmomanometer is an instrument used to measure blood pressure, and consists of an inflatable cuff, a mercury manometer (or aneroid gauge) and an inflation ball and gauge. To assess the condition, accuracy and safety of mercury and anaeroid sphygmomanometers in use in general practice and to pilot a scheme for sphyg- momanometer maintenance within the district. Therefore, it must be calibrated periodically. Using the MPX 5050GP sensor as a positive pressure sensor. Requires a maximum pressure of 300 mmHg. This tool is also equipped with a SD Card as external storage. The display used in this module is TFT Nextion 2.8”. After conductings measurements of the three comparisons consisting of Multifunction, DPM and mercury tensimeter to 6 times, the smallest result 0 mmHg and the largest results 251.52 mmHg. While the error in mercury tensimeter’s of leak test to module and rigel is 0.56% and 0.404%.

An Advanced Holter Monitor Using AD8232 and MEGA 2560

Monitoring of cardiac signals is very important for patients with heart disease. The detection of the ECG signal that is carried out for twenty hours will help the doctor to diagnose heart disease. The purpose of this study was to develop a portable ECG monitoring system and cost as it is called a Holter monitor. The main design of ECG module consists of the AD8232, DS3231 RTC module, Arduino microcontroller, and SD card memory. ECG signals are collected from the body of a standard measurement based LEAD II .. To record the raw data from the ECG signal, SD card memory is used to store data for further data analysis. Calibration is performed using a phantom ECG. This is done to make the design results are in accordance with the standard ECG machine.