Monthly Archives: July 2014

Spark Core Data to Google Docs from Raspberry Pi

If you read my previous post you can see I was using powershell to write data to a CSV file locally on my PC.  This was not a great solution because my PC had to be running at all times in order to get the data.  I decided to use my Raspberry Pi as a server to collect the data and have it push the data to Google Docs.  Here is what I came up with:

#!/usr/bin/python
import time
import gdata.spreadsheet.service

import urllib2
import json
import time

##########Make Changes in this section
#the URL for your spark core
URL = 'xxxxxxx'
#Your gmail email to login to google docs with
email = 'xxxxxx'
#you gmail password
password = 'xxxxxxxx'

# Find this value in the url with 'key=XXX' and copy XXX below
spreadsheet_key = 'xxxxxxx'
# All spreadsheets have worksheets. I think worksheet #1 by default always
# has a value of 'od6'
worksheet_id = 'od6'

#########Done with the changes

while True:
 response = urllib2.urlopen(URL)
 response = response.read()
 response = json.loads(response)

 result = response["result"]
 result = json.loads(result)

 Humidity = result["Humidity"] 
 degF = result["degF"]
 degC = result["degC"]
 DewPoint = result["DewPoint"]
 DewPointSlow =result["DewPointSlow"]

 weight = '180'

 spr_client = gdata.spreadsheet.service.SpreadsheetsService()
 spr_client.email = email
 spr_client.password = password
 spr_client.source = 'Python runing on pi'
 spr_client.ProgrammaticLogin()

 # Prepare the dictionary to write
 dict = {}
 dict['date'] = time.strftime('%m/%d/%Y')
 dict['time'] = time.strftime('%H:%M:%S')
 dict['humidity'] = str(Humidity)
 dict['degf'] = str(degF)
 dict['degc'] = str(degC)
 dict['dewpoint'] = str(DewPoint)
 dict['dewpointslow'] = str(DewPointSlow)
 #print dict

 entry = spr_client.InsertRow(dict, spreadsheet_key, worksheet_id)
 if isinstance(entry, gdata.spreadsheet.SpreadsheetsList):
 print "Insert row succeeded."
 else:
 print "Insert row failed."
 time.sleep(300) # delays for 300 seconds 

You need to install the gdata python library here is how to do that (thanks to  http://www.mattcutts.com/blog/write-google-spreadsheet-from-python/)

mkdir ~/gdata
(download the latest Google data Python library into the ~/gdata directory)
unzip gdata.py-1.2.4.zip (or whatever version you downloaded)
sudo ./setup.py install

This script just loops forever and sends an update to the spreadsheet every 5 mins (this might be too often).

I might get fancy and make this a service but for now you can just run it in the background with &

This project is still not done for me.  Next I will be working to Reduce the power consumption by using sleep mode of the core Spark.sleep().  This puts the core in low power mode for a time.  In order to do this I need to change the core script to push data instead of updating all the time.  To do this I will use Spark.publish() to publish an event when it takes a reading.  Then the script can pull that event when ever it gets around to it.

Sensor Data

Here is a graph of the sensor data I collected with the sensor in the box.

Tempature Graph

 

The battery only lasted about 46 hours.  I would consider this the worst case for the battery usage since I was not doing anything to reduce consumption.  One simple thing to do is to use the Spark.sleep() instead of just delay() that I am using now.  This will put the core into sleep mode with low power consumption.  I am testing this now to see how much it helps.

The next big thing to do is to push the data instead of having the core serve the data.  This way the core can be sleeping and only wake up when a reading is needed.  This seem easy to do also using the Spark.publish() which generates an event that can be collected. There is a nice write up on on how to increase battery life https://learn.adafruit.com/low-power-wifi-datalogging/battery-life-and-current-consumption

I will post a follow-up once I get more data and do more tests.

Web Enabled Temperature and Humidity Using Spark Core

I posted a while ago about the kick starter I backed the Spark Core. I finally got around to making it useful.  Stick with me this is a long post.

The Problem:

Over the last few months one of my filament spools kersploded

20140607_104703Turns out that humidity causes PLA to become brittle and break apart like this especially when its on a small diameter spool.  I always new that PLA was susceptible to humidity but I generally ignored it so I guess I deserve this.  Now based on a suggestion on how better to store my PLA. https://groups.google.com/d/topic/makerbot/Rdx2ZnJeQzs/discussion

long story short I am now using this http://www.westmarine.com/buy/iris-usa-inc–62-8-qt-water-tight-storage-box-clear–14018642

20140706_114102I also put two of these in the box http://amzn.com/B000H0XFCS 

20140706_114125And to monitor the humidity levels one of these http://amzn.com/B0013BKDO8 20140706_114113

Not bad.  The box started out at a startling 45% humidity and quickly dropped to 20-22%.  Since I was monitoring the levels manually I though why not make a wireless sensor to monitor the levels auto-magically.

The Solution

This brings me back to my spark core I mentioned earlier. I went bought one of these https://www.sparkfun.com/products/10167dht22

For the sensing part and quickly and easily plopped it on a breadboard. 20140706_113030I connected this to a 10 ah battery I have to make it wireless. 20140706_113015Then uploaded some code.


// This #include statement was automatically added by the Spark IDE.
#include "idDHT22/idDHT22.h"
#include ;

// declaration for DHT11 handler
int idDHT22pin = D4; //Digital pin for comunications
void dht22_wrapper(); // must be declared before the lib initialization

// DHT instantiate
idDHT22 DHT22(idDHT22pin, dht22_wrapper);

char message[50];
double Humidity =0;
double degF = 0;
double degC = 0;
double DewPoint = 0;
double DewPointSlow = 0;
int result;
int led = 0;
void setup()
{

	pinMode(led, OUTPUT);
	Spark.variable("message", &message, STRING);
	Spark.variable("Humidity", &Humidity, DOUBLE);
	Spark.variable("degF", &degF, DOUBLE);
	Spark.variable("degC", &degC, DOUBLE);
	Spark.variable("DewPoint", &DewPoint, DOUBLE);
	Spark.variable("DewPointSlow", &DewPointSlow, DOUBLE);
}
// This wrapper is in charge of calling
// mus be defined like this for the lib work
void dht22_wrapper() {
	DHT22.isrCallback();
}
void loop()
{

	digitalWrite(led, HIGH);   // turn the LED on (HIGH is the voltage level)

	DHT22.acquire();
	while (DHT22.acquiring());
	
	result = DHT22.getStatus();
	switch (result)
	{
		case IDDHTLIB_OK:
			//Serial.println("OK");
			break;
		case IDDHTLIB_ERROR_CHECKSUM:
			//Serial.println("Error\n\r\tChecksum error");
			break;
		case IDDHTLIB_ERROR_ISR_TIMEOUT:
			//Serial.println("Error\n\r\tISR Time out error");
			break;
		case IDDHTLIB_ERROR_RESPONSE_TIMEOUT:
			//Serial.println("Error\n\r\tResponse time out error");
			break;
		case IDDHTLIB_ERROR_DATA_TIMEOUT:
			//Serial.println("Error\n\r\tData time out error");
			break;
		case IDDHTLIB_ERROR_ACQUIRING:
			//Serial.println("Error\n\r\tAcquiring");
			break;
		case IDDHTLIB_ERROR_DELTA:
			//Serial.println("Error\n\r\tDelta time to small");
			break;
		case IDDHTLIB_ERROR_NOTSTARTED:
			//Serial.println("Error\n\r\tNot started");
			break;
		default:
			//Serial.println("Unknown error");
			break;
	}
     
    Humidity = DHT22.getHumidity();
    degF = DHT22.getFahrenheit();
    degC = DHT22.getCelsius();
    DewPoint = DHT22.getDewPoint();
    DewPointSlow = DHT22.getDewPointSlow();
    
    sprintf(message, "{\"Humidity\":%f,\"degF\":%f,\"degC\":%f,\"DewPoint\":%f,\"DewPointSlow\":%f}", Humidity, degF,degC,DewPoint,DewPointSlow);
       
     digitalWrite(led, LOW);    // turn the LED off by making the voltage LOW
    
	delay(30000);
}

Ok great now to get the data.  This is where the Spark Core is cool. The Spark.variable makes that var available via the web api.

Very cool.  Now to the logging part.

Initially I tried using google docs per this post https://community.spark.io/t/example-logging-and-graphing-data-from-your-spark-core-using-google/2929 but I was having problems.  I will continue to make this work as I like the idea of making the data available anywhere.

In the mean time I setup my pc to log the data using powershell

#put you id and access token in the url string
$url = "https://api.spark.io/v1/devices/xxxx Core ID xxxxxx/message?access_token=xxxx Access Token xxxxx"

while($true){

    # First we create the request.
    $HTTP_Request = [System.Net.WebRequest]::Create($url)

    # We then get a response from the site.
    $HTTP_Response = $HTTP_Request.GetResponse()

    # We then get the HTTP code as an integer.
    $HTTP_Status = [int]$HTTP_Response.StatusCode

    If ($HTTP_Status -eq 200) { 
        Write-Host "Site is OK!" 
    }
    Else {
        Write-Host "The Site may be down, please check!"
    }


    $requestStream = $HTTP_Response.GetResponseStream()
    $readStream = new-object System.IO.StreamReader $requestStream
    $wrs = $readStream.ReadToEnd()
    $readStream.Close()



    $data = $wrs|ConvertFrom-Json

    $data = ((($data.result.Split(",")).replace("}","")).replace("{","")).split(":")

    $Humidity = $data[1]
    $degF = $data[3]
    $degC = $data[5]
    $DewPoint = $data[7]
    $DewPointSlow = $data[9]

    $object = New-Object –TypeName PSObject
    $object | Add-Member –MemberType NoteProperty –Name date –Value (Get-Date)
    $object | Add-Member –MemberType NoteProperty –Name Humidity –Value $Humidity
    $object | Add-Member –MemberType NoteProperty –Name degF –Value $degF
    $object | Add-Member –MemberType NoteProperty –Name degC –Value $degC
    $object | Add-Member –MemberType NoteProperty –Name DewPoint –Value $DewPoint
    $object | Add-Member –MemberType NoteProperty –Name DewPointSlowC –Value $DewPointSlow

    $object |Export-Csv "C:\TempatureData.csv" -Append

    # Finally, we clean up the http request by closing it.
    $HTTP_Response.Close()

    Start-Sleep -Seconds 600
}

This code logs the date and the data into a csv.

date Humidity degF degC DewPoint DewPointSlowC
7/6/2014 11:48 38.700001 73.4 23 8.177205 8.207732
7/6/2014 11:58 38.700001 73.4 23 8.177205 8.207732
7/6/2014 12:08 39.599998 73.76 23.2 8.694606 8.725507
7/6/2014 12:18 39 73.76 23.2 8.469035 8.499937
7/6/2014 12:28 38.599998 74.3 23.5 8.583681 8.615134
7/6/2014 12:38 38.599998 73.76 23.2 8.31695 8.347849
7/6/2014 12:48 37.5 73.76 23.2 7.89145 7.922324
7/6/2014 12:58 31.299999 73.58 23.1 5.177949 5.207903

Now I just need to place this in the box and I can remotely monitor and log the conditions in my filament storage box.20140706_124116

Build of Materials

Item Location Price
Spark Core /u.fl connector https://www.spark.io/ $39
2.4GHz Antenna – Adhesive (U.FL connector) https://www.sparkfun.com/products/11320 $4.95
Humidity and Temperature Sensor – RHT03 https://www.sparkfun.com/products/10167 $9.95
Breadboard – Self-Adhesive (White) https://www.sparkfun.com/products/12002 $4.95
10k ohm resistor
small led (optional)
470 ohm resistor (optional)
Jumper wires

There you have it.  This is just a quick and dirty solution.  I am sure it can be done cheaper and easier.  This was done with the items I already had on hand with the exception of the DHT22.