As discussed in a previous blog post the iC880a is a LoRaWAN concentrator that can be used to create a gateway. The iC880a only provides the LoRaWAN hardware, it does not provide any processing capabilities, for this we use a Raspberry Pi. However, the Raspberry Pi and the iC880a have different pin layouts for their
Continue reading Raspberry Pi LoRaWAN gateway PCB
At EMF camp 2018 we ran three workshops in order to improve people’s understanding of air quality. The workshop details can be found at https://www.emfcamp.org/line-up/2018/180-air-quality-sensor-devices-build-program-and-test. Here are the details needed to recreate the workshop. The workshop was designed to be suitable for anyone with no prior experience using a Raspberry Pi, however, the setup steps
Continue reading EMF camp 2018 Air Quality LoRaWAN workshop
The instructions for the workshop we ran at EMF Camp 2018 will be posted here soon.
Following on from work by Simon Cox and colleagues building the first Raspberry Pi Cluster we are building a new cluster and want to compare the performance of the two. To do this we are once again going to run Linpack. Versions of MPI and HPL have moved on since then. When Wee Archie Blue
Continue reading Building HPL and ATLAS for the Raspberry Pi
In an earlier post our experience of adding a uBlox GPS receiver directly onto the PCB of the iC880A, and commented that whilst it was doable it required a tricky soldering, even with the most challenging component needing to be omitted, so we looked into ways of adding a GPS module without needed surface mount
Continue reading Using the Adafruit Ultimate GPS with the iC880A
Hardware setup The iC880A is a popular PCB for creating a multichannel LoRaWAN base station. It is supplied with pads for the addition of a u-blox LEA-6T. As well as adding the GPS receiver module several other components have to be added including a power supply, USB connector and associated passives / TVS protection diodes.
Continue reading Adding a GPS Receiver to the iC880A LoRaWAN concentrator
This guide serves as a basic introduction to using the Yocto project for building a custom Linux image for the Raspberry Pi. The Singularity containerisation engine is bundled within this image as an example, and because it is a nifty piece of software. In writing this, I assume the reader has some working knowledge of
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Climate change, and the declining air quality in major urban areas is becoming an increasingly prevalent and critical issue, with hundreds of thousands of premature deaths due to air pollution in Europe alone (http://www.bbc.co.uk/news/world-europe-38078488). One approach to resolving this problem is a data-driven “Smart City”. So-called Smart Cities employ a huge network of sensors all
Continue reading Interfacing a K30 CO2 sensor with a Raspberry Pi for Remote Air Quality Sensing