MEAN Tools Installation

Well after some thought, I figured it was time to roll up my sleeves and install some tools and frameworks to start with my minimilist IoT playground. I use macOS and will focus just on that.

Environment under macOS

I first started to go down the path provided at mean.io and felt there was too much of a heavy lift for a newbie trying to ramp up on four technologies at the same time. I opted for installing each of them by hand so I can see the type of problems can occur.

I installed the following:

Sublime Text – Nice editor and I started using it for Arduino development as well

MongoDB –  I used the homebrew approach.

Node Version Manager (NVM) – Used to manage different versions of node.js. Note I have Xcode installed and you may need the command line tools later.

If the NVM is too much of a hassle, get node directory from node.js via download
Node.js – It is already newer than the version I have (7.8.0). This is an easy install and should not pose any problems

Express Generator – another straight forward install for light weight web framework

I installed the following as well based on what I thought I needed for this learning exercise.

Package/ToolURLDescriptionInstallation
log4jslog4jslog4js based logging services for node.jsnpm install log4js -S
monkmonkwrapper to mongodb that is simpler yet not as powerful as mongoosenpm install monk -S
nodemonnodemonlistens for file changes and restarts server npm install nodemon -g
dummy-jsondummy-sontool to generate JSON files used for my testingnpm install dummy-json -g
RobomongorobomongoMongoDB managerdownload and point to mongoDB instance (default localhost:27017)
Bluebirdbluebirdpromise library implementationnpm install bluebird -S
SerialPortserial portserial port driver for node.jsnpm install serialport -S # have 4.0.7
xbee-apixbee-apixbee API for node.jsnpm install xbee-api -S

Off to learning this stuff.

Empowering the Many

Hello MEAN stack

A few years ago I had boat loads of temperature envelop data of my house and outside temperature. When I was looking for quotes to re-insulate my old house, an insulation vendor expressed interest in purchasing my before and after analysis and results. I did not proceed with a full re-insulation of my house but did end up loosing my data which was 100% my fault. I did not back up to a NAS and experiences a hard drive failure.

Fast forward today. There is lots of talk of IoT, Analytics, and cloud services. Many, I feel are putting lipstick on their outdated products so buyer beware.  That said, the various IoT ecosystems provided through services such as Microsoft Azure, etc. are making it easier to mashup, collect, aggregate, and analyze data. Alarm Management, historians may become moot at some point unless vendors provide added value services such as predictive analytics and performance management solutions.

My interests these days revolve around machine learning and visual analytics but I do like to keep on top of some technology that can be used to marry IoT with the enterprise. With the handful of XBee devices lying around, I’ve set my eyes to ramp up on the MEAN (MongoDB, ExpressJS, Node.js, AngularJS stack and see what I can come up with for my own use at home. I chose a Typescript/Javascript environment as I can get by with basic open source tools and decent editors without having to get something like visual studio.

Key System Architecture Components

 

1-configure XBee end devices to sleep and send to coordinator AI/DI data. (I’ve tested this a few years ago so I know it works) (Temperature, ambient light, etc) Mesh network using API mode.

2. 0 or more routers to relay the messages from the end devices to the coordinator

3. 1 coordinator that feeds into the system via serial port

4. Node.JS+ Express to handle the configuration of the I/O wired to the XBees. e.g. scaling, tag name, etc. MongoDB to persist the data, and angularJS to render the UI.

5. There are three IoT platforms ( GE Predix , XivelyThingSpeak, and Azure IoT )  that I have accounts with that I would like to push data to to test it out. I have two SCADA and one HMI system that I am also going to test out the IIoT readiness.

6. My home power monitoring has been running for 8 years on arduino and XBee. The next step is to push data rather than poll from the host to see what that SCADA system can do.

Further down the horizon the inclusion of some  MQTT flavour and and node.js integration.