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LattePanda Project: Send light sensor data to Azure storage

DFRobot Nov 30 2016 1210

About this document

The functions have been adapted for LattePanda. This samples uses Node.JS, click for more language platforms and further tutorials.

What’s Azure Storage

Azure Storage is the cloud storage solution for modern applications that rely on durability, availability, and scalability to meet the needs of their customers. Azure Storage is massively scalable, so you can store and process hundreds of terabytes of data to support the big

data scenarios required by scientific, financial analysis, and media applications. Or you can store the small amounts of data required for a small business website.



This sample shows how to send data from a light sensor to Azure storage using a Node.JS app.

This multi-step process includes:

  • Prepare your development environment
  • Configuring Azure Storage
  • Run the Sample and send light sensor data to Azure Storage.


2 Steps to run Azure IoT Hub application on your LattePanda.


Step 1: Prerequisites

You should have the following items ready before beginning the process:


Step 2: Set up the hardware

  • Insert Light Sensor into LattePanda analog pin A0, The final setup should look something like this:



Step 3: Build and Run the sample

  • Creat a app.js file and copy the following code into it. be sure to enter valid values for accountName accountKey and arduinoPort. You may also change tableName. Place the file in the folder of your choice on your LattePanda


var azure = require('azure-storage'); var five = require('johnny-five'); var accountName = ''; // Enter your Azure storage account name var accountKey = ''; // Enter your Azure storage account key var tableName = 'MyLightSensorData'; // Name of your table to store the light sensor data var arduinoPort = 'COM3';// Enter your Arduino Port var tableService = azure.createTableService(accountName, accountKey); if (CreateTable()) { InitializeBoard(); } // Create a table in Azure storage function CreateTable() { tableService.createTableIfNotExists(tableName, function (error, result, response) {  if (error) {    console.log(error);    return false;  } }); return true; } // Initialize the Arduino board with Johnny-Five function InitializeBoard() { var board = new five.Board({ port: arduinoPort }); board.on('ready', function () {  lightSensor = new five.Sensor({    pin: "A0",    freq: 10000 // 10 seconds  });  lightSensor.on('change', function () {    InsertValue(this.value);  }); }); } function InsertValue(value) { console.log('Value to insert: ' + value); // Create entity to store in the table with the value // of the light sensor and the date. var entGen = azure.TableUtilities.entityGenerator; var entity = {  PartitionKey: entGen.String('Light'),  RowKey: entGen.String(String(Date.now())),  intValue: entGen.Int32(value),  dateValue: entGen.DateTime(new Date().toISOString()), }; // Insert the entity in the Azure storage table tableService.insertEntity(tableName, entity, function (error, result, response) {  if (error) {    console.log(error);  } }); }


  • Open a new shell or Node.js command prompt and navigate to the folder where you placed the sample files. install azure and johnny-five libraries using the following commands:


npm install azure npm install johnny-five


  • Run the sample application using the following commands, Every 10 seconds, the code will send the value of the light sensor to the table specified.


node app.js


  • You can then view the data being sent to Azure storage with Power BI. In Power BI, click on the Get Data button, select ‘Microsoft Azure Table Storage’ as your source, then follow the steps to connect. Once connected you can select your table and view the light sensor data that has been sent from your LattePanda. 




[1] Azure Storage documentation