scholarly journals Perancangan Sistem Efisiensi Penggunaan Energi Listrik Menggunakan Sensor Gerak dan Sensor Arus

2020 ◽  
Vol 4 (3) ◽  
pp. 626
Author(s):  
Sarmayanta Sembiring ◽  
Hadir Kaban ◽  
Rido Zulfahmi
Keyword(s):  
Human Movement ◽  
Electrical Energy ◽  
Electronic Equipment ◽  
Sensor Data ◽  
Current Sensor ◽  
Motion Sensor ◽  
Air Conditioners ◽  
Average Current ◽  
Sensor Current ◽  
Predetermined Time

Efficiency system in using electrical energy has been designed using a PIR motion sensor, current sensor SCT-013-030, infrared LED and relay with a controller using Arduino Uno. The system is designed to turn off electronic equipment such as air conditioners, projectors and lights automatically as a solution from users forgetting to turn off electronic equipment when it is no longer in use. The experimental results show that the system has been running well, where the system can detect no movement for a predetermined time by using a PIR motion sensor. Detection of electronic equipment using sensors SCT-013-030 has been able to distinguish the state of the equipment whether it is ON or OFF based on differences in sensor output data that is read by the Arduino analog port. Sensor data when detecting the lamp when OFF is average = 1.333 while the mini projector and TV when off the average sensor data value = 1.667. The average current sensor data when detecting lights when ON = 5,333, mini projector = 8,333 and TV = 11,333. Overall the system designed has been able to turn off the equipment that is still active when the sensor does not detect any human movement during a predetermined time

scholarly journals Evaluasi Sistem Pembebanan Sistem Kelistrikan Gedung Fakultas Ekonomi Universitas Lancang Kuning

2020 ◽  
Vol 18 (1) ◽  
pp. 24
Author(s):  
Abrar - Tanjung
Keyword(s):  
Voltage Drop ◽  
Electrical Energy ◽  
Electrical Equipment ◽  
Air Conditioners ◽  
Additional Equipment ◽  
Absolute Requirement ◽  
Average Current ◽  
Building Load ◽  
Industrial Needs ◽  
Energy Channels

Electrical energy lines are the main needs in everyday life and for industrial needs. Because electrical energy channels are easy to send and convert into other forms of energy. The supply of stable and continuous electrical energy is an absolute requirement that must be met in meeting the needs of electric power. The Faculty of Economics building consists of two two-story buildings that are used for academic, administrative and lecture activities. The use of the room is equipped with electrical equipment, such as installation of air conditioners, lighting, computers, infocus and other additional equipment. As a result of the installation of electrical equipment, it caused disturbances and problems in the electrical system in the Economics Faculty Building. This research was conducted to evaluate the Building Load for the Faculty of Economics, University of Lancang Kuning. Based on the results of the discussion, an evaluation was obtained at the Unilak Faculty of Economics building, the average current at 3 phase 380 volts was 51.3 amps, the power capacity was 197 kW, the voltage drop was 24.1 volts, the power loss was 908.8, 89 watts (0.909 kW) and the value of grounding resistance is 22.15 ohms.

scholarly journals A Hierarchical Deep Fusion Framework for Egocentric Activity Recognition Using a Wearable Hybrid Sensor System

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 546 ◽  
Author(s):  
Haibin Yu ◽  
Guoxiong Pan ◽  
Mian Pan ◽  
Chong Li ◽  
Wenyan Jia ◽  
...  
Keyword(s):  
Activity Recognition ◽  
Short Term Memory ◽  
Specific Activity ◽  
Negative Influence ◽  
Sensor System ◽  
Sensor Data ◽  
Motion Sensor ◽  
Motion Sensors ◽  
Motion State ◽  
Fusion Framework

Recently, egocentric activity recognition has attracted considerable attention in the pattern recognition and artificial intelligence communities because of its wide applicability in medical care, smart homes, and security monitoring. In this study, we developed and implemented a deep-learning-based hierarchical fusion framework for the recognition of egocentric activities of daily living (ADLs) in a wearable hybrid sensor system comprising motion sensors and cameras. Long short-term memory (LSTM) and a convolutional neural network are used to perform egocentric ADL recognition based on motion sensor data and photo streaming in different layers, respectively. The motion sensor data are used solely for activity classification according to motion state, while the photo stream is used for further specific activity recognition in the motion state groups. Thus, both motion sensor data and photo stream work in their most suitable classification mode to significantly reduce the negative influence of sensor differences on the fusion results. Experimental results show that the proposed method not only is more accurate than the existing direct fusion method (by up to 6%) but also avoids the time-consuming computation of optical flow in the existing method, which makes the proposed algorithm less complex and more suitable for practical application.

scholarly journals RANCANG BANGUN MONITORING DAN PENYIMPANAN NILAI DAYA LISTRIK SECARA REAL TIME PADA BASIS DATA

2018 ◽  
Vol 5 (1) ◽  
pp. 139
Author(s):  
I Dewa Gde Bayu Wiranatha ◽  
Cok Gede Indra Partha ◽  
Widyadi Setiawan
Keyword(s):  
Real Time ◽  
Digital Media ◽  
Electrical Energy ◽  
Current Sensor ◽  
Hotel Management ◽  
Data Recording ◽  
Electrical Energy Consumption ◽  
Energy Monitoring ◽  
Maximum Current ◽  
Access Data

Hotel management to monitor the energy to know the electrical energy consumption at the hotel. Energy monitoring is carried out in order to achieve the efficient use of electrical energy, for accurate energy monitoring requires a tool that can monitor the power consumption in real time and store on digital media or database so easy to access. Data stored on the database using the help of microcontroller and Ethernet Shiled connected to the LAN network. The sensors used in this research are voltage down 220VAC: 9VAC and current sensors with maximum current capacity of 100 A. The result of data recording is the highest current sensor deviation of 2.4% and the highest voltage sensor deviation is 0.4%.

Improved method for Faraday current sensor data processing

2001 ◽  
Vol 199 (1-4) ◽  
pp. 77-81 ◽  
Author(s):  
José A Ferrari ◽  
César D Perciante ◽  
Alejandro Lagos ◽  
Erna M Frins
Keyword(s):  
Data Processing ◽  
Sensor Data ◽  
Current Sensor ◽  
Improved Method

Influence of Façade Area on Thermal Performance of Building for Cooling Purposes

2018 ◽  
Author(s):  
Hamad H. Almutairi ◽  
Abdulrahman Almutairi ◽  
Jaber H. Almutairi
Keyword(s):  
Air Conditioning ◽  
Power Plants ◽  
Electrical Power ◽  
Electrical Energy ◽  
Building Design ◽  
Renewable Energy Resources ◽  
Air Conditioning System ◽  
Air Conditioners ◽  
Simulation Engine ◽  
Hot Climate

Buildings account for significant energy consumption worldwide particularly in regions where energy patterns influenced primarily by weather. Air conditioning system became an essential evaluation factor during building design and construction. The level of curiosity about air conditioning system efficiency in terms of energy usage is increasing quickly. In Kuwait; which is a hot climate country; air conditioners account for 70% of total electrical power. Electricity in Kuwait is produced entirely by the non-renewable energy resources. This work aims to assess the potential electrical savings that could be acquired by reducing building’s façade area towards East-West directional orientation in Kuwait. For this purpose, a detached building model with uniform geometry; was simulated by Energy Plus Thermal Simulation Engine through its interface with DesignBuilder software. Two cases were developed for the analysis; both have the same simulation inputs. The only difference was the orientation of the facades. The results show a reduction of about 900 kWh cooling annually if the largest facades were positioned towards north and south. The obtained saving in annual basis is attributed to about 420 kWh electrical power. Equivalent CO2 emissions associated with the saved electrical energy from power plants in Kuwait were estimated. The resulted savings are promising for early decision making for prospective buildings to be built in future.

scholarly journals A Smart Autonomous Time- and Frequency-Domain Analysis Current Sensor-Based Power Meter Prototype Developed over Fog-Cloud Analytics for Demand-Side Management

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4443 ◽  
Author(s):  
Yung-Yao Chen ◽  
Yu-Hsiu Lin
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Electrical Energy ◽  
Demand Side Management ◽  
Current Sensor ◽  
The Internet ◽  
Load Identification ◽  
Demand Side ◽  
Power Meter ◽  
Iot Devices

Electrical energy management, or demand-side management (DSM), in a smart grid is very important for electrical energy savings. With the high penetration rate of the Internet of Things (IoT) paradigm in modern society, IoT-oriented electrical energy management systems (EMSs) in DSM are capable of skillfully monitoring the energy consumption of electrical appliances. While many of today’s IoT devices used in EMSs take advantage of cloud analytics, IoT manufacturers and application developers are devoting themselves to novel IoT devices developed at the edge of the Internet. In this study, a smart autonomous time and frequency analysis current sensor-based power meter prototype, a novel IoT end device, in an edge analytics-based artificial intelligence (AI) across IoT (AIoT) architecture launched with cloud analytics is developed. The prototype has assembled hardware and software to be developed over fog-cloud analytics for DSM in a smart grid. Advanced AI well trained offline in cloud analytics is autonomously and automatically deployed onsite on the prototype as edge analytics at the edge of the Internet for online load identification in DSM. In this study, auto-labeling, or online load identification, of electrical appliances monitored by the developed prototype in the launched edge analytics-based AIoT architecture is experimentally demonstrated. As the proof-of-concept demonstration of the prototype shows, the methodology in this study is feasible and workable.

Sign in / Sign up

Export Citation Format

Share Document