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 Many, I feel are putting lipstick on their outdated products so buyer beware.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.
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 , Xively, ThingSpeak, 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.