scholarly journals Monitoring Energi Secara Real-Time pada Mesin Berbasis IoT

2020 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Irvando Anto verry Damanik ◽  
Suratmadji Suratmadji ◽  
Agus Juniawan K

Energy monitoring is one method used to improve the efficiency of the use of an electrical equipment. A machine with a large capacity needs to be monitored to find out its availability so that there are no power losses, idle conditions and its performance can be maximized in accordance with the maximum capacity. In addition to the main parameters that are monitored (kWh), monitoring is also carried out on the frequency, current, voltage, power factor parameters. Methods of data collection were carried out by designing electronic and sensor systems, device installation, testing data readings, server setup, connectivity testing, hardware integration to web-service, measurement and analysis. The research data was obtained using the CT component which was communicated with the Controller using RS-485 and data was collected in a data base on the server as an embodiment of the Internet of Things (IoT). Observation data was processed using programming, and displayed on an online-based dashboard, so reading data was monitored online on the web-service and data was stored on the server as Big Data.Monitoring energi merupakan salah satu metode yang digunakan untuk meningkatkan efisiensi penggunaan suatu perlatan listrik. Mesin dengan kapasitas besar perlu dimonitor untuk mengetahui availability nya sehingga tidak terjadi rugi-rugi daya, kondisi idle dan performa nya dapat maksimal sesuai dengan kapasitas optimum yang memungkinkan, sehingga selain parameter utama yang dimonitor (kWh), dilakukan juga monitoring pada parameter frekuensi, arus, faktor daya. Metode pengumpulan data dilakukan dengan perancangan sistem elektronik dan sensor, instalasi perangkat, uji coba pembacaan data, penyiapan server, uji konektivitas, integrasi  hardware ke web-service, pengukuran dan analisa. Data penelitian diperoleh dengan menggunakan komponen CT yang dikomunikasikan dengan controller menggunakan RS-485 dan data dikumpulkan pada data base di server sebagai perwujudan dari Internet of Things (IoT). Data yang diperoleh diolah dengan menggunakan pemrograman, dan ditampilkan pada dashboard berbasis online, sehingga data hasil pembacaan dimonitor secara online di web-service dan data tersimpan di server sebagai Big data.

Author(s):  
H. B. Chi ◽  
M. F. N. Tajuddin ◽  
N. H. Ghazali ◽  
A. Azmi ◽  
M. U. Maaz

<span>This paper presents a low-cost PV current-voltage or <em>I-V</em> curve tracer that has the Internet of Things (IoT) capability. Single ended primary inductance converter (SEPIC) is used to develop the <em>I-V</em> tracer, which is able to cope with rapidly changing irradiation conditions. The <em>I-V</em> tracer control software also has the ability to automatically adapt to the varying irradiation conditions. The performance of the <em>I-V</em> curve tracer is evaluated and verified using simulation and experimental tests.</span>


Author(s):  
Wisam Dawood Abdullah ◽  
Raad Z. Homod ◽  
Abdulbasit H. Ahmed

In this paper, a new technique to monitor and control bidirectional DC-DC converter was designed and implemented precisely. A prototype of a complete system is verified with efficient communication capabilities. This system is realized by integrating the internet of things (IoT) operating system and the bidirectional DC-DC converter. The IoT communication facilities further develop and extend the platform for this system. The DC-DC converter with the soft switching technique will then convert the battery voltage to a high voltage of 380V inverter bus in emergencies via boost converter mode. High-frequency toroidal transformer has been used for power level shifting and isolation between the primary and secondary sides of the transformer. The closed-loop control scheme is implemented in software by using a high-performance 32-bit STM32 micro controller. IoT technique is used to find current, voltage and perform the communication smoothly through Wi-Fi sensors to complete the design of the system. The results of the proposed system prove the effectiveness of the proposed system with high-performance specifications.


2017 ◽  
Vol 28 (4) ◽  
pp. 24-39 ◽  
Author(s):  
Sungkwang Eom ◽  
Kyong-Ho Lee

In the Internet of Things (IoT) environment, the use of sensors and sensor readings is significant in research and industry. The number of sensors is increasing exponentially, adding a tremendous amount of data to the Web. Therefore, the efficient management of sensors and observation data is becoming important. Especially, the location and time of observations are expected to play a vital role in IoT. However, existing researches mainly focus on the temporal properties of data stream. It is necessary to consider the spatial features in addition to the temporal ones. In this article, the authors propose a spatiotemporal query language which integrates spatial and temporal features. Also, they propose an efficient method of building a spatiotemporal index and processing the proposed query language. To evaluate the proposed method, the authors conduct experiments through implementation. The experimental results show that the proposed method deals with spatiotemporal queries within a reasonable time.


Telecom IT ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 20-25
Author(s):  
Y. Avakyan ◽  
R. Kirichek ◽  
V. Kulik

This paper discusses methods for testing data channels under a functional load of traffic generated by devices and applications of the Internet of things. The research of data channels is carried out according to the following quality of service parameters: throughput, network latency, network jitter, packet loss percentage. To measure these parameters, it is proposed to use the following types of testing: stress testing, benchmark testing. A model network including devices and application of the Internet of things was developed to define functional load models. The considered methods can be used to develop sys-tems for testing data channels of the Internet of things.


Author(s):  
C. Y. Huang ◽  
C. H. Wu

The Internet of Things (IoT) is an infrastructure that interconnects uniquely-identifiable devices using the Internet. By interconnecting everyday appliances, various monitoring and physical mashup applications can be constructed to improve people’s daily life. However, IoT devices created by different manufacturers follow different proprietary protocols and cannot communicate with each other. This heterogeneity issue causes different products to be locked in multiple closed ecosystems that we call IoT silos. In order to address this issue, a common industrial solution is the hub approach, which implements connectors to communicate with IoT devices following different protocols. However, with the growing number of proprietary protocols proposed by device manufacturers, IoT hubs need to support and maintain a lot of customized connectors. Hence, we believe the ultimate solution to address the heterogeneity issue is to follow open and interoperable standard. Among the existing IoT standards, the Open Geospatial Consortium (OGC) SensorThings API standard supports comprehensive conceptual model and query functionalities. The first version of SensorThings API mainly focuses on connecting to IoT devices and sharing sensor observations online, which is the sensing capability. Besides the sensing capability, IoT devices could also be controlled via the Internet, which is the tasking capability. While the tasking capability was not included in the first version of the SensorThings API standard, this research aims on defining the tasking capability profile and integrates with the SensorThings API standard, which we call the extended-SensorThings API in this paper. In general, this research proposes a lightweight JSON-based web service description, the “Tasking Capability Description”, allowing device owners and manufacturers to describe different IoT device protocols. Through the extended- SensorThings API, users and applications can follow a coherent protocol to control IoT devices that use different communication protocols, which could consequently achieve the interoperable Internet of Things infrastructure.


Compiler ◽  
2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Anggraini Kusumaningrum ◽  
Asih Pujiastuti ◽  
Muhammad Zeny

Lamp is a kind of electronic that created light. Light is obtained through the flow of electricity as a current to add a voltage. the die and the life of light are controled  by humans using switch. Applying the  Internet of Things, as known as IoT determined the life and the die of a lamp by determined by the active light censor. The die and the life of the lamp automatically depends on the light sensor by capturing the intensity of the light produced. The result of the function test found that the data in the form of lux value generated by the light sensor, the value is exposed on a website with the display of graphics and websites serve as a web service provides control values to determine the response lamp, if the value of lux above 30 percent then the lights off And vice versa if under 30 percent of the lamps are on, so that a small value will be sent to the lamp and the lamp will respond that the lights are off or on. So that humans only act as a watchdog and control of the value generated by the light sensor.


2022 ◽  
Vol 8 (2) ◽  
pp. 164
Author(s):  
Ahmad Mukhaidir Shidiq ◽  
Purwito Purwito ◽  
Ruslan Ruslan

With the advancement of technology today, there is known to be an innovation that is the internet of things where electronic devices can be monitored and controlled remotely. For this reason, the practicum module of internet of things-based lighting installation as a medium of learning for students. The workings of the tool will be made using the PZEM-004T sensor as a sensor reading the current voltage, power, and energy used and ESP-32 as an additional module on the Arduino Mega so that data reading voltage, current and power can be sent using the internet network to the smartphone. In the smartphone application, we can also control to extinguish or turn on the lights.


2020 ◽  
pp. 1703-1719
Author(s):  
Sungkwang Eom ◽  
Kyong-Ho Lee

In the Internet of Things (IoT) environment, the use of sensors and sensor readings is significant in research and industry. The number of sensors is increasing exponentially, adding a tremendous amount of data to the Web. Therefore, the efficient management of sensors and observation data is becoming important. Especially, the location and time of observations are expected to play a vital role in IoT. However, existing researches mainly focus on the temporal properties of data stream. It is necessary to consider the spatial features in addition to the temporal ones. In this article, the authors propose a spatiotemporal query language which integrates spatial and temporal features. Also, they propose an efficient method of building a spatiotemporal index and processing the proposed query language. To evaluate the proposed method, the authors conduct experiments through implementation. The experimental results show that the proposed method deals with spatiotemporal queries within a reasonable time.


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