Below you will find pages that utilize the taxonomy term “Sensors”
Blogs
Webserver and database combination on Raspberry Pi
My normal combination on the big-server side would be Apache + MySQL (or PostgreSQL), but on the RPi this seems to be absolute overkill. For data-logging operations I would not use the local system anyway (looking at MQTT as well as Remote MongoDB datastore via REST Webservices).
After some poking around and reading up on the options I decided to go for the following combo: LightHTTPD + SQLite. Both are lightweight replacement of their fully-featured big-server counterparts (Apache HTTP & MySQL) and have very familiar configurations.
Blogs
Accessing 1-wire devices on Raspberry Pi using OWFS
To connect 1-wire serial devices to the RPi I am using a DS9490R USB 1-wire adapter (rather than wiring I2C 1-Wire master components to GPIO I2C – which I might look at sometime down the track)
Install packages sudo apt-get install owfs ow-shell
Edit config file vim /etc/owfs.conf
! server: server = localhost:4304<br></br># USB device: DS9490<br></br>server: usb = all<br></br>######################### OWFS ##########################<br></br>mountpoint = /mnt/1wire<br></br>allow_other<br></br>####################### OWHTTPD #########################<br></br>http: port = 2121<br></br>####################### OWFTPD ##########################<br></br>ftp: port = 2120<br></br>####################### OWSERVER ########################<br></br>server: port = localhost:4304
Blogs
Mobile sensors and the “Internet of Things” in learning
With the Internet of Things slowly becoming mainstream the potential uses of this technology can also be seen in the Education sector. This blogpost is the first installment of a series of posts that highlights practical examples that can be used in teaching and training.
Part 1 – Environmental Noise Monitoring Some of the skills taught in these projects are:
Environmental science Citizen science (collaborative data gathering) Measurement / sensing Data visualisation Data comparison With WideNoise users can monitor the noise levels around them using an App downloadable from Android Market or Apple AppStore.