Warning there are some tall-ass images in this post.

A few years ago I got mad enough at the temperature gradient in my town house that I designed and build a bunch of ESP8266 sensors to feed data into an RRD so that I could have some pretty graphs to be angry about as well. (As of this week I have also started logging stats from my UPS and server.) Using the minimum of HTML and CSS I threw those graphs, a map of the previous day’s incoming network traffic, and some convenient links onto a homepage that I use on all of my devices. At a glance this tells me if the furnace/AC is working, if my server is having a fit for unknown reasons, and if the local power grid is playing it fast and loose with the voltage and frequency (which I suspect they do).

Clicking the temperature/humidity data leads to a long term data page covering 2 years of data in varying resolution. The gap last fall was when the garage sensor failed and I was waiting for Aliexpress.

There are also long term trends for the server load and UPS but they have only been logging for a few days so there is not much to look at.

Clicking the map on the home page leads to a text file containing a summary of all incoming traffic to apache and ssh. The ssh server is on a high port number and doesn’t see much traffic but occasionally a persistent bot will find it.

Everything but my landing page (this animation in p5.js https://old.reddit.com/r/cellular_automata/comments/1djwjbu/waves_processingorg/ with the text “Hey this isn’t where I parked my car” overlayed) is behind basic auth or better and I have push notifications set up for every ssh login (even my own), in 5 years I have never had a successful login from an attacker, this is not an invitation, have mercy.

All the data is gathered with python scripts and stored in RoundRobinDatabases or, in the case of network data, digested down into a CSV. The climate sensors respond to requests on port 80 with the temperature and humidity separated by a comma to allow for easy polling. The map is generated by looking up the IPs’ information on Shodan then plotting the location data if it was present.

Absolutely none of this is the ideal solution, there are existing projects that cover literally every aspect plus a dozen extra features I could never hope to implement. I wrote as much as I could from scratch just to see if I could, it’s more fun to drive a shitty car that you built than one you bought from the dealer.

Aaaand I accidentally made the UPS database only 24hrs instead of the 10years I had intended. Lucky for me rrdtool has a function to expand an rrd without wiping out the data!

  • Nik282000OP
    link
    fedilink
    English
    arrow-up
    7
    ·
    2 days ago

    I noticed pretty quick how much the weather outside affects the inside of the house. When it’s windy the bedroom temperature drops fast. If it was sunny in the day there will be a peak temperature several hours after sunset as the heat soaks through the west facing brick wall. When the outside humidity jumps the inside follows fast but if the humidity drops outside it takes days for the house to catch up.

    If I was clever I could probably set up a predictive thermostat that takes into account the next 6 hrs of weather when choosing to run the heat or air.