This smart fire alarm application is part of a series of how-to Internet of Things (IoT) code sample exercises using the Intel® IoT Developer Kit and a compatible Intel-based platform, cloud platforms, APIs, and other technologies.
From this exercise, developers will learn how to:
- Interface with and sensors using MRAA and UPM from the Intel® IoT Developer Kit, a complete hardware and software solution to help developers explore the IoT and implement innovative projects.
- Set up a web application server to let users enter the access code to disable the alarm system and store this alarm data using Azure Redis Cache* from Microsoft Azure*, Redis Store* from IBM Bluemix*, or Elasticache* using Redis* from Amazon Web Services (AWS)*, different cloud services for connecting IoT solutions including data analysis, machine learning, and a variety of productivity tools to simplify the process of connecting your sensors to the cloud and getting your IoT project up and running quickly.
- Connect to a server using IoT Hub from Microsoft Azure*, IoT from IBM Bluemix*, IoT from Amazon Web Services (AWS)*, AT& M2X*, Predix* from GE, or SAP Cloud Platform* IoT, different cloud-based IoT platforms for machine to machine communication.
- Invoke the services of the Twilio* API for sending text messages.
Available in:
Using a compatible Intel-based platform, this project lets you create a smart fire alarm that:
- constantly monitors for unsafe temperature levels.
- issues an audible notification using the buzzer.
- issues a visual notification using the LCD.
- keeps track of fire events, using cloud-based data storage.
- sends text messages to alert others of a possible fire.
This smart fire alarm monitors the ambient temperature using the connected temperature sensor.
If the temperature exceeds a certain threshold (set to 28 degrees Celsius in this example), it sounds an alarm through the buzzer and displays an alert on the LCD.
In addition, it can send a text message to a specified number through Twilio*, warning the recipient of a possible fire danger.
Optionally, data can be stored using your own Microsoft Azure*, IBM Bluemix*, AT&T M2X*, AWS*, Predix*, or SAP* account.
For all the samples in this repository, see the for required boards and libraries.
In addition to using a compatible platform listed in , here is additional hardware you will need to run this example.
This sample can be used with either Grove or DFRobot components.
Grove:
DFRobot:
You need to have a Grove* Shield connected to an Arduino* compatible breakout board to plug all the Grove* devices into the Grove* Shield. Make sure you have the tiny VCC switch on the Grove* Shield set to 5V.
| Sensor | Pin |
|---|---|
| Grove* Temperature Sensor | A0 |
| Grove* Buzzer | D5 |
| Grove* RGB LCD | I2C |
You need to have a LCD Keypad Shield connected to an Arduino* compatible breakout board to plug all the DFRobot* devices into the LCD Keypad Shield.
| Sensor | Pin |
|---|---|
| Analog Temperature Sensor | A3 |
| Buzzer | A2 |
IMPORTANT NOTICE: This software is sample software. It is not designed or intended for use in any medical, life-saving or life-sustaining systems, transportation systems, nuclear systems, or for any other mission-critical application in which the failure of the system could lead to critical injury or death. The software may not be fully tested and may contain bugs or errors; it may not be intended or suitable for commercial release. No regulatory approvals for the software have been obtained, and therefore software may not be certified for use in certain countries or environments.