HOW-TO INTEL® IOT TECHNOLOGY CODE SAMPLES: AIR QUALITY SENSOR IN JAVA*

Introduction

This air quality monitor application is part of a series of how-to Intel® Internet of Things (IoT) code sample exercises using the Intel® IoT Developer Kit, Intel® Edison development platform, cloud platforms, APIs, and other technologies.

From this exercise, developers will learn how to:

• Connect the Intel® Edison development platform, a computing platform designed for prototyping and producing IoT and wearable computing products.
• Interface with the Intel® Edison platform 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 this code sample in Intel® System Studio IoT Edition . Intel® System Studio IoT Edition lets you create and test applications on Intel-based IoT platforms.
• Store air quality 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 an air quality reporter that:

• continuously checks the air quality for airborne contaminants.
• sounds an audible warning when the air quality is unhealthy.
• stores a record of each time the air quality sensor detects contaminants, using cloud-based data storage.

How it works

This shop air quality monitor uses the sensor to constantly keep track of airborne contaminants.

If the sensor detects one of several different gases and the detected level exceeds a defined threshold, it makes a sound through the speaker to indicate a warning.

Also, optionally, the monitor stores the air quality data using the Intel® IoT Examples Data Store running in your own Microsoft Azure* account.

Hardware requirements

Grove* Home Automation Kit containing:

1. Intel® Edison platform with an Arduino* breakout board
2. Grove* Air Quality Sensor (http://iotdk.intel.com/docs/master/upm/node/classes/tp401.html)
3. Grove Speaker (http://iotdk.intel.com/docs/master/upm/node/classes/grovespeaker.html)

Software requirements

1. Intel® System Studio IoT Edition
2. Microsoft Azure*, IBM Bluemix*, or AWS account (optional)

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/how-to-code-samples.git

To download a .zip file, in your web browser, go to https://github.com/intel-iot-devkit/how-to-code-samples and click the Download 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 Intel® System Studio IoT Edition

** The following screenshots are from the Alarm clock sample, however the technique for adding the program is the same, just with different source files and jars.

Open Intel® System Studio IoT Edition, it will start by asking for a workspace directory. Choose one and click OK.

In Intel® System Studio IoT Edition , select File -> new -> Intel(R) IoT Java Project:

Give the project the name "AirQualitySensor" and then click Next.

You now need to connect to your Intel® Edison board from your computer to send code to it. Choose a name for the connection and enter the IP address of the Intel® Edison board in the "Target Name" field. You can also try to Search for it using the "Search Target" button. Click finish when you are done.

You have successfully created an empty project. You now need to copy the source files and the config file to the project. Drag all of the files from your git repository's "src" folder into the new project's src folder in Intel® System Studio IoT Edition. Make sure previously auto-generated main class is overridden.

The project uses the following external jars: gson-2.6.1. These can be found in the Maven Central Repository. Create a "jars" folder in the project's root directory, and copy all needed jars in this folder. In Intel® System Studio IoT Edition, select all jar files in "jars" folder and right click -> Build path -> Add to build path

Now you need to add the UPM jar files relevant to this specific sample. right click on the project's root -> Build path -> Configure build path. Java Build Path -> 'Libraries' tab -> click on "add external JARs..."

for this sample you will need the following jars:

1. upm_grovespeaker.jar
2. upm_gas.jar

The jars can be found at the IOT Devkit installation root path\iss-iot-win\devkit-x86\sysroots\i586-poky-linux\usr\lib\java

Connecting the Grove* sensors

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.

1. Plug one end of a Grove cable into the Grove Air Quality Sensor, and connect the other end to the AO port on the Grove Shield.
2. Plug one end of a Grove cable into the Grove Speaker, and connect the other end to the D5 port on the Grove Shield.

Data store 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

Configuring the example

To configure the example for the optional data store, change the SERVER and AUTH_TOKEN keys in the config.properties file to the server URL and authentication token that correspond to your own data store server setup. For example:

  SERVER=http://intel-examples.azurewebsites.net/logger/air-quality
  AUTH_TOKEN=s3cr3t

Preparing the Intel® Edison board before running the project

In order for the sample to run you will need to copy some files to the Intel® Edison board. This can be done using SCP through SSH. The files need to be copied from the sample repository: 

Jar files- external libraries in the project need to be copied to "/usr/lib/java"

Running the program using Intel System Studio IoT Edition

When you're ready to run the example, make sure you have saved all the files.

Click the Run icon on the toolbar of Intel® System Studio IoT Edition. This runs the code on the Intel® Edison board.

Determining the IP address of the Intel® Edison board

You can determine what IP address the Intel® Edison board is connected to by running the following command:

ip addr show | grep wlan

You will see output similar to the following:

3: wlan0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast qlen 1000
    inet 192.168.1.13/24 brd 192.168.1.255 scope global wlan0

The IP address is shown next to inet. In the example above, the IP address is 192.168.1.13.

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.