Design of Smoke Detector for Smart Room Based on Arduino Uno

Smoke is one of the air pollutions that is very detrimental to the health of both the smoker himself and others around him. Inhaling other people's smoke is even more dangerous than inhaling your own smoke. Even the dangers that must be borne by passive smokers are three times greater than the dangers of active smokers. Smoke is also very detrimental to the health of patients in hospitals, especially patients who suffer from asthma. For people with asthma who have problems in the respiratory tract, asthma can recur at any time due to inhaling smoke. This research will develop a smart room that can detect smoke to maintain and protect the room from smoke that interferes with health. The tool to be developed uses an MQ2 sensor, LCD, exhaust fan, buzzer, and Arduino Uno microcontroller. Where an MQ2 sensor is needed to detect smoke around it, an LCD is needed to display the percentage of smoke, a microcontroller as a controller for all components, a buzzer is used as an alarm when the smoke level in the room is unhealthy, and the exhaust fan functions as a sucker for dirty air so that the smoke level in the room can be reduced.

IoT based Automated Room

The smart home is an environment in which heterogeneous electronic devices and appliances are networked together to give smart services to individuals in a ubiquitous manner. Because of the numerous benefits, organizations and individuals are widely accepting and using the capabilities provided by smart home applications. Our purpose is to turn a standard room into a "smart room." The combination of IoT and AI platforms is utilized to offer the infrastructure required to integrate disparate devices and services across networks. Multiple sensors, processing, and actuation components have been designed and deployed in this project. Assume that the state of the room is continuously monitored, and decisions are made to regulate the room lights, cooling, heating, and projector operation manually, remotely, or even automatically. For example, when a person enters the designated room, the lights and projector immediately switch on. Environmental measures (temperature, humidity, and ambient light), energy consumption measurements, and estimates of the number of individuals present are collected during the conference session. The comfort levels of room occupants are maintained by automatic rule-based decision making. We employ a comprehensive analysis completed by real-life Smart Room users to evaluate our methodology. The same procedures will be followed in other areas. Furthermore, by utilizing the same set of sensors, the same can be used for home automation.

"THE NEW TECHNOLOGIES AND SUSTAINABLE PRACTICES IN HOSPITALITY"

The purpose of this paper is to provide a perspective on the possibility of implementing new technologies and sustainable practices in hotels, conducting a case study on the four-star Alpin Hotel, located in the resort Poiana Brasov in Romania. The study includes a specific way of analysis; in this sense a set of assessment criteria was developed based on the following topics: environmentally friendly practices, staff attitude, technology, smart room, product design, robots and AI. The results are useful for hotel owners and managers

SMART ROOM MONITORING MENGGUNAKAN MIT APP INVENTOR DENGAN KONEKSI BLUETOOTH

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.