Not only human performance is monitored but also the system performance. The system consists of a couple of raspberry PI minicomputers, 2 x 433mhz rfxcom antenna’s and about 30 hue lamps connected to 2 hue bridge. The hue lamps, wireless switches and motion sensors are polled every minute for reachability. The system will alert me if something is failing and I can take action (but it honestly doesn’t happen very often). he info on this page reflects only part of the data that is being logged but will give you a pretty good impression.
| Device | CPU Temperature | CPU Usage | Memory usage | Data TX | Data RX | Last reboot |
| CPU Living | 43 °c | 1 % | 10 % | NULL mb | NULL mb | 2019-12-14 02:03:00 |
| CPU Attic | 34 °c | 47 % | 77 % | NULL mb | NULL mb | 2019-12-14 02:02:44 |
| CPU Util | 52 °c | 94 % | 18 % | NULL mb | NULL mb | 2019-12-14 02:03:16 |
| CPU Study | 59 °c | 52 % | 6 % | NULL mb | NULL mb | 2019-12-14 02:02:29 |
| CPU Garage | 48 °c | 76 % | 5 % | NULL mb | NULL mb | 2019-12-14 02:02:41 |
| CPU Doorb. | 41 °c | 64 % | 89 % | NULL mb | NULL mb | 2019-12-14 02:02:43 |
| CPU Doorb. | 41 °c | 64 % | 89 % | NULL mb | NULL mb | 2019-12-14 02:02:43 |
Raspberry CPU temperature is not only influenced by workload but the ambient temperature has a big influence I noticed.
All the lamps and switches are polled every minute for their reachability. Usually the score will be a 100%.
Sometimes when by accident a plug is pulled then the score will be lower. In that case an alert will be sent.