Introduction
This smart stove top application is part of a series of how-to Intel IoT code sample exercises using the Intel® IoT Developer Kit, Intel® Edison board, cloud platforms, APIs, and other technologies.
From this exercise, developers will learn how to:
- Connect the Intel® Edison board, a computing platform designed for prototyping and producing IoT and wearable computing products.
- Interface with the Intel® Edison board IO and sensor repository 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.
- Run these code samples in the Intel® System Studio IoT Edition (Eclipse* IDE for C/C++ and Java* development) for creating applications that interact with sensors and actuators, enabling a quick start for developing software for the Intel® Edison or Intel® Galileo board.
- Set up a web application server to set the temperature and store this temperature 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.
What it is
Using an Intel® Edison board, this project lets you create a smart stove top that:
- monitors the temperature using the sensor and gives an audible notification when your food reaches the desired temperature and you need to turn down the heat;
- can be accessed with your mobile phone via a built-in web interface to set the desired temperature;
- monitors for a possible fire, by using the attached flame sensor, and gives an urgent audible warning;
- keeps track of the cooking temperature using cloud-based data storage.
How it works
This smart stove top sensor has a number of useful features designed to help you monitor the temperature of the food you are cooking on your legacy stove top.
You can set the target temperature for a pot on your range top using a web page served directly from the Intel® Edison board, using your mobile phone.
When the target temperature is reached, the speaker gives an audible notification. If an open flame from a pot boiling over is detected, an alarm sounds.
Optionally, it can also store system events using the Intel IoT Examples Datastore running in your own Microsoft* Azure*, IBM* Bluemix*, or AWS* account.
Hardware requirements
Grove* Home Automation Kit containing:
- Intel® Edison board with an Arduino* breakout board
- Grove* Base Shield V2
- Grove* IR Temperature Sensor
- Grove* Flame Sensor
- Grove* Speaker
Software requirements
- Intel® System Studio IoT Edition (Eclipse* IDE for C/C++ and Java* development)
- Microsoft* Azure*, IBM* Bluemix*, or AWS* account
How to set up
To begin, clone the How-To Intel IoT Code Samples repository with Git* on your computer as follows:
$ git clone https://github.com/intel-iot-devkit/intel-iot-examples.git
Want to download a .zip file? In your web browser, go to https://github.com/intel-iot-devkit/intel-iot-examples and click theDownload ZIP button at the lower right. Once the .zip file is downloaded, uncompress it, and then use the files in the directory for this example.
Adding the program to Eclipse*
In Eclipse*, select Import Wizard to import an existing project into the workspace as follows:
- From the main menu, select File > Import.
- The Import Wizard dialog box opens. Select General > Existing Project into Workspace and click Next.
- Click Select root directory and then the associated Browse button to locate the directory that contains the project files.
- Under Projects, select the directory with the project files you'd like to import and click OK and then Finish to import the files into Eclipse*.
- Your main .cpp program is now displayed in your workspace under the src folder.
Connecting the Grove* sensors
You need to have a Grove* Base Shield V2 connected to an Arduino*-compatible breakout board to plug all the Grove* devices into the Grove* Base Shield V2. Make sure you have the tiny VCC switch on the Grove* Base Shield V2 set to 5V.
- Plug one end of a Grove* cable into the Grove* IR Temperature Sensor, and connect the other end to the A0 port on the Grove* Base Shield V2.
- Plug one end of a Grove* cable into the Grove* Flame Sensor, and connect the other end to the D4 port on the Grove* Base Shield V2.
- Plug one end of a Grove* cable into the Grove* Speaker, and connect the other end to the D5 port on the Grove* Base Shield V2.
Intel® Edison board setup
This example uses the restclient-cpp library to perform REST calls to the remote data server. The code can be found in thelib directory. The restclient-cpp library requires the libcurl package, which is already installed on the Intel® Edison board by default.
This example also uses the Crow* web micro-framework to provide a simple-to-use, yet powerful web server. The Crow* library requires the libboost package be installed on the Intel® Edison board, as well as adding the needed include and lib files to the Eclipse* Cross G++ Compiler and Cross G++ Linker.
Update opkg base feeds so you can install the needed dependencies. Establish an SSH connection to the Intel® Edison board and run the following command:
vi /etc/opkg/base-feeds.conf
Edit the file so that it contains the following:
src/gz all http://repo.opkg.net/edison/repo/all src/gz edison http://repo.opkg.net/edison/repo/edison src/gz core2-32 http://repo.opkg.net/edison/repo/core2-32
Save the file by pressing Esc, then :, then q, and Enter.
This only needs to be done once per Intel® Edison board, so if you've already done it, you can skip to the next step.
Install the boost libraries onto the Intel® Edison board by running the following command:
opkg update
opkg install boost-dev
Copy the libraries
You need to copy the libraries and include files from the board to your computer where you're running Eclipse* so the Cross G++ Compiler and Cross G++ Linker can find them. The easiest way to do this is by running the scp
command from your computer (NOT the Intel® Edison board), as follows:
scp -r USERNAME@xxx.xxx.x.xxx:/usr/include/boost ~/Downloads/iotdk-ide-linux/devkit-x86/sysroots/i586-poky-linux/usr/include
scp USERNAME@xxx.xxx.x.xxx:/usr/lib/libboost* ~/Downloads/iotdk-ide-linux/devkit-x86/sysroots/i586-poky-linux/usr/lib
Change USERNAME@xxx.xxx.x.xxx
to match whatever username and IP address you set your board to.
Change ~/Downloads/iotdk-ide-linux
to match the location on your computer where you installed the Intel® IoT Developer Kit.
Copy the libraries on Windows*
We have a helpful link to get this set up here:
Note: you need to turn SSH on by running the configure_edison --password
command on the board. Once you set the password, make sure you write it down. You only need to do this once and it is set when you reboot the Intel® Edison board.
Datastore server setup
Optionally, you can store the data generated by this sample program in a backend database deployed using Microsoft* Azure*, IBM* Bluemix*, or AWS*, along with Node.js*, and a Redis* data store.
For information on how to set up your own cloud data server, go to:
https://github.com/intel-iot-devkit/intel-iot-examples-datastore
Connecting your Intel® Edison board to Eclipse*
- In the bottom left corner, right-click anywhere on the Target SSH Connections tab and select New > Connection.
- The Intel® IoT Target Connection window appears. In the Filter field, type the name of your board.
- In the Select one of the found connections list, select your device name and click OK.
- On the Target SSH Connections tab, right-click your device and select Connect.
If prompted for the username and password, the username is root and the password is whatever you specified when configuring the Intel® Edison board.
Running the example with the cloud server
To run the example with the optional backend data store, you need to set the SERVER
and AUTH_TOKEN
environment variables. You can do this in Eclipse* as follows:
- From the Run menu, select Run Configurations.
The Run Configurations dialog box is displayed. - Under C/C++ Remote Application, click doorbell.
This displays the information for the application. In the Commands to execute before application field, add the environment variables so it looks like this, except using the server and authentication token that correspond to your own setup:
chmod 755 /tmp/smart-stovetop;export API_KEY="YOURKEY"; export SERVER="http://intel-examples.azurewebsites.net/counter/logger/smart-stove"; export AUTH_TOKEN="YOURTOKEN"
Click Apply to save your new environment variables.
Now, when you run your program using the Run button, it should be able to call your server to save the data right from the Intel® Edison board.
Running the code on the Intel® Edison board
When you're ready to run the example, click Run at the top menu bar in Eclipse*.
This compiles the program using the Cross G++ Compiler, links it using the Cross G++ Linker, transfers the binary to the Intel® Edison board, and then executes it on the board itself.
After running the program, you should see output similar to the one in the image below.
Regenerating HTML and CSS
If you make any changes to either the index.html or styles.css file, you need to regenerate the .hex file used to serve up the assets via the built-in Crow* web server. We have a useful tutorial on how to use the shell script here:
Setting the temperature
The target temperature is set using a single-page web interface served up from the Intel® Edison board while the sample program is running.
The web server runs on port 3000
, so if the Intel® Edison board is connected to Wi-Fi* on 192.168.1.13
, the address to browse to if you are on the same network is http://192.168.1.13:3000
.
For a complete list of the 18 How-To Intel IoT Code Samples in C++, go to this Intel® Developer Zone blog post 18 How-To Intel IoT Code Samples Now Available in C++.
For a complete list of the 18 How-To Intel IoT Code Samples in JavaScript*, go to this Intel® Developer Zone blog post Announcing 18 New How-To Intel IoT Code Samples.
For more details about this code sample, go to GitHub*.