scholarly journals SMART ROOM MONITORING MENGGUNAKAN MIT APP INVENTOR DENGAN KONEKSI BLUETOOTH

2020 ◽  
Vol 13 (1) ◽  
pp. 51-66
Author(s):  
Micha Thesania Katarine ◽  
Karel Octavianus Bachri
Keyword(s):  
Monitoring System ◽  
Remote Monitoring ◽  
Room Temperature ◽  
Air Conditioner ◽  
Direct Exposure ◽  
App Inventor ◽  
Gas Leaks ◽  
Presence Of People ◽  
Mit App Inventor ◽  
Smart Room

This study aims to design a smart room monitoring system (smart room) to determine the condition of the room in the house. This smart room system is based on Bluetooth and is assisted by the MIT App Inventor application which can do remote monitoring. This system is controlled by the Arduino Mega microcontroller which is connected to the sensor and Bluetooth. The sensors used are MQ2 to detect gas leaks, LM35 to detect room temperature, and PIR sensors to detect human presence. The MQ2 Sensor is placed near the LPG gas canisters, the PIR sensor is placed at entrance, while the LM35 sensor is placed at the center of the room, with neither direct blow from the Air Conditioner nor direct exposure to sunlight. Experiment shows that the sensor and the system work, and the application can also be connected to the system so that the sensors are monitored. In the MIT App Inventor application, the data received from Bluetooth is a PIR sensor that detects the presence of people in the room, the LM35 sensor can detect room temperature, and the MQ2 sensor can detect the presence of leaking gas.

scholarly journals TEMPERATURE AND HUMIDITY MOISTURE MONITORING SYSTEM WITH ARDUINO R3 AND DHT 11

2019 ◽  
Vol 5 (2) ◽  
pp. 40-47
Author(s):  
Sonny Rumalutur ◽  
Alimuddin Mappa
Keyword(s):  
Monitoring System ◽  
Room Temperature ◽  
Air Conditioner ◽  
Temperature And Humidity ◽  
Modulation Signal ◽  
Arduino Uno

This study discusses how to design an AC (Air Conditioner) system that can work based on the temperature and humidity of the room that is regulated by a system that uses Arduino UNO as a controller. Meanwhile, to measure the temperature and humidity of the room temperature by using a DHT sensor 11. PWM (Pluse Widht Modulation) signal from the microcontroller is used to set the relay driver so that the AC (air conditioner) can be on in accordance with the programmed with Arduino uno. AC (air conditioner) will be on as long as the temperature is still above 220C and will be off if the temperature has passed 220C and the duration of AC (air conditioner) on and off is determined by the temperature and humidity in the room.

scholarly journals Server Room Temperature and Monitoring System Using Fuzzy Based on RobotDyn Microcontroller

2020 ◽  
Vol 4 (1) ◽  
pp. 1-9
Author(s):  
Budi Indra Gunawan ◽  
Unan Yusmaniar Oktiawati
Keyword(s):  
Fuzzy Logic ◽  
Monitoring System ◽  
Room Temperature ◽  
Delivery Ratio ◽  
Ideal Condition ◽  
Air Conditioner ◽  
Average Delay ◽  
Infrared Communication ◽  
Temperature And Humidity

Server role becomes very important to provide service to clients. Therefore the performance of the server needs to be maintained. The performance of the server is not only influenced by the technology of the hardware but also influenced by server room ideal temperature and humidity condition. Monitoring and adjusting temperature condition is not possible to be done continuously manually because of limited human resources. One of the solutions is using a system based on the Internet of Things (IoT). This research proposed a prototype of  server room temperature and humidity real-time monitoring system using RobotDyn ATmega+ESP8266 microcontroller and the Blynk IoT platform. The prototype also can maintain the temperature of server room on ideal condition by controlling Air Conditioner using Fuzzy logic Mamdani Method and infrared communication. The result of this research a prototype that can read temperature and humidity of server room accurately realtive error for temperature is 0,81% and relative error for humidity is 4,52%. Quality of Service for data transmission from prototype to Blynk Platform is very good, with average delay 127.54ms, average packet loss ratio 0.54%, average packet delivery ratio 99.46%, and average throughput 10.5 kbps. Control System that built using fuzzy logic Mamdani Method can automatically control the value of Air Conditioner temperature output that adjust the condition of server room with maximum  range for control Air Conditioner is 4 meters and 45° from Air Conditioner’s transmitter

A Remote Monitoring System for Data-Center Based on GSM/GPRS Network

2013 ◽  
Vol 846-847 ◽  
pp. 388-391 ◽  
Author(s):  
Hui Min Sui ◽  
Qin Long Wu ◽  
Huan Yang ◽  
Gui Fu Yang ◽  
Zhi Qiang Ma
Keyword(s):  
Remote Control ◽  
Real Time ◽  
Wireless Network ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Data Center ◽  
Room Temperature ◽  
Serial Port ◽  
Remote Monitoring System ◽  
The Status

This paper presents the remote monitoring system for data-center based on GSM/GPRS Network. The System real-time monitors the data-center room temperature through ZigBee wireless network, and gets the air conditionings and servers running status through the serial port, and achieves communication to administrator through SMS-Modem and GSM/GPRS Network. This system enables administrators can easily understand the status of the data-center room and remote control the data-center room anytime and anywhere.

scholarly journals A NEURAL NETWORK BASED SMART BUILDING MONITORING SYSTEM USING WIRELESS SENSOR NETWORK

2021 ◽  
Vol 9 (1) ◽  
pp. 232-239
Author(s):  
Pradeep K G M , Dr. S. VENKATESAN, Dr. Soundara Rajan
Keyword(s):  
Neural Network ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Electrical Current ◽  
Sink Node ◽  
Air Conditioner ◽  
Smart Building ◽  
Control Information ◽  
Building Monitoring ◽  
Remote System

A Smart building monitoring System uses Sensors like temperature Sensor, humidity sensor, motion / occupancy Sensor, contact sensor, Gas/air quality Sensor, Strain Sensor, electrical current monitoring Sensor etc for monitoring an environmental factors and to control devices such as air conditioner, ventilator, alarm, Security grand system etc using sensor information. Our proposed system uses effective neural network to gather information from different Sensor and consolidate it by Information Isolation Node (IIN) and send to sink node The Sink node sends information. to cloud where remote monitoring is done and it also receives Control information from cloud and operates different equipments of building. For efficient implementation only needed information are sent to cloud and necessary action are taken by remote system based on consolidated information sent by Information Isolation Node (IN) through Sink node The Sink node sends information to cloud where remote monitoring is done and it also receives Control information from cloud and operates different equipments of building.

Sign in / Sign up

Export Citation Format

Share Document