Early fire detection: development of temperature sensor device in smart home monitoring system using mobile phone

2012 ◽  
Vol 4 (5) ◽  
pp. 41-49 ◽  
Author(s):  
Mohd Nazri Ismail
Keyword(s):  
Mobile Phone ◽  
Monitoring System ◽  
Temperature Sensor ◽  
Smart Home ◽  
Home Monitoring ◽  
Fire Detection ◽  
Sensor Device ◽  
Early Fire Detection

scholarly journals Smart Home Monitoring System Using ESP32 Microcontrollers

2020 ◽  
Author(s):  
Marek Babiuch ◽  
Jiri Postulka
Keyword(s):  
Mobile Phone ◽  
Monitoring System ◽  
Secondary Task ◽  
Smart Home ◽  
Home Monitoring ◽  
Web Server ◽  
Software Implementation ◽  
Home Security ◽  
Smart Mobile Phone ◽  
Smart Mobile

This chapter deals with the implementation of our own monitoring system with home security. The system is designed using IoT modules and uses ESP32 microcontrollers. The chapter describes the design of the system, its hardware components, software implementation, security solutions, communication, the collecting and monitoring of processed data, as well as the quantification of costs for the production and deployment of this system. The proposed system secures a house by detecting an intruder in the building, triggering an alarm and capturing it all with camera images, and then sending data to the owner’s smart mobile phone. The secondary task of the system is to collect data from sensors for monitoring the temperature of an object and presenting it via a web server.

Robust Smart Home Monitoring System Based on 802.11 Mesh Network

2019 ◽  
pp. 38-47
Author(s):  
S. Loyola Samraj ◽  
Nisha V. Bhalke ◽  
A. Aarthi ◽  
R. Srinath ◽  
E. Prabhu
Keyword(s):  
Monitoring System ◽  
Smart Home ◽  
Home Monitoring ◽  
Mesh Network

scholarly journals Alat Pendeteksi Kebakaran Menggunakan SMS

2020 ◽  
Vol 1 (2) ◽  
pp. 251-254
Author(s):  
Sindi Permata Sari ◽  
Oriza Candra ◽  
Jhefri Asmi
Keyword(s):  
Human Factors ◽  
Temperature Sensor ◽  
Human Life ◽  
Fire Detection ◽  
Smoke Detectors ◽  
Fire Detector ◽  
Arduino Uno ◽  
Main Component ◽  
The Brain ◽  
Early Fire Detection

Lately, there are frequent fires caused by human factors. Because we cannot predict the process of fire in advance. And the delay in knowing the occurrence of a fire is very fatal to the safety of human life and property. With advances in technology, we can overcome fires by making early fire detection devices. With the presence of temperature and smoke detectors, we can detect fires as early as possible and be delivered quickly via alarms and SMS gateways. The main component of this fire detector is the Arduino Uno. This Arduino uno acts as the brain of the fire detection device. This tool works based on the detection of the temperature condition by the DHT11 temperature sensor, which is when the temperature is above normal, an alert notification will be sent via the SMS gateway and so will the MQ2 smoke and the buzzer will sound as a warning alarm.

scholarly journals Internet of Things–based smart home system using a virtualized cloud server and mobile phone app

2019 ◽  
Vol 15 (9) ◽  
pp. 155014771987935
Author(s):  
Guo-Ming Sung ◽  
Yen-Shin Shen ◽  
Jia-Hong Hsieh ◽  
Yu-Kai Chiu
Keyword(s):  
Internet Of Things ◽  
Wireless Communication ◽  
Mobile Phone ◽  
Smart Home ◽  
Near Field ◽  
Home Monitoring ◽  
Raspberry Pi ◽  
Wireless Communication Protocol ◽  
Cloud Server ◽  
To Receive

This article proposes an Internet of Things–based smart home system composed of a virtualized cloud server and a mobile phone app. The smart Internet of Things–based system includes a sensing network, which is developed with the ZigBee wireless communication protocol, a message queuing telemetry transport, a virtualized cloud server and a mobile phone app. A Raspberry Pi development board is used to receive packet information from the terminal sensors using ZigBee wireless communication. Then, the message queuing telemetry transport broker not only completes transmission of the message but also publishes it to the virtualized cloud server. The transmission can then be viewed through the website using a mobile phone. The designed app combines the application of the virtualized cloud server, client sensors and the database. Verification experiments revealed the measured average response time and throughput of approximately 4.0 s and 6069 requests per second, respectively, for the virtualized web server and approximately 0.144 s and 8866 packets per second, respectively, for the message queuing telemetry transport broker. The designed functions of the mobile phone app are a global positioning system home monitoring, family memo, medical care and near-field communication key. Both interlinkage and handler methods are proposed to facilitate a powerful function without delay in displaying information. The proposed system integrates with software and hardware to complete the data analysis and information management quickly and correctly. It can cater to user needs with superior ease and convenience.

scholarly journals A Distributed Wireless Heat Monitoring System for Early-Fire Detection and Prevention

2019 ◽  
Vol 6 (4) ◽  
pp. 282-290
Author(s):  
Moses Oluwafemi Onibonoje ◽  
Adedayo Olukayode Ojo ◽  
Temitayo Emmanuel Fabunmi
Keyword(s):  
Monitoring System ◽  
Fire Detection ◽  
Early Fire Detection

scholarly journals Multi-effectiveness Smart Home Monitoring System Based Artificial Intelligence through Arduino

2017 ◽  
Vol 12 (7) ◽  
pp. 546-558
Author(s):  
Heba M. Fadhil ◽  
◽  
Abdullah Kadhum ◽  
Rafah Abdulkadhum
Keyword(s):  
Artificial Intelligence ◽  
Monitoring System ◽  
Smart Home ◽  
Home Monitoring

The Design of Smart Home Monitoring System Based on ZigBee and Voice Recognition Technology

2014 ◽  
Vol 945-949 ◽  
pp. 2693-2697
Author(s):  
Jia Huang ◽  
Ye Chen Yang ◽  
Xiao Dong Zhai ◽  
Chen Yang
Keyword(s):  
Monitoring System ◽  
Home Environment ◽  
Smart Home ◽  
Voice Recognition ◽  
Home Monitoring ◽  
Environment Monitoring ◽  
Zigbee Technology ◽  
Voice Control ◽  
Smart Home Environment ◽  
And Control

This paper has designed a smart-home environment monitoring system. The System is based on ZigBee technology establishing wireless sensor network , using the SCM of CC2530 RF as the solutions to the system of the ZigBee technology, achieving parameter detection of multi-environment, and controlling the receive and dispatch of signals . Meanwhile, the system uses LD3320 voice chip, take the use of (non-specific) voice recognition technology to accept and control signal, realizing voice control for home appliances. And the distribution of the system is flexible and can change any monitoring points and monitor objects. It has good scalability and stability and can be used in various occasions for environmental monitoring.

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