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 | 39 °c | 1 % | 9 % | NULL mb | NULL mb | 2019-02-17 02:03:52 |
| CPU Attic | 35 °c | 39 % | 27 % | NULL mb | NULL mb | 2019-02-17 02:03:02 |
| CPU Util | 52 °c | 94 % | 15 % | NULL mb | NULL mb | 2019-02-17 02:04:08 |
| CPU Study | 56 °c | 46 % | 5 % | NULL mb | NULL mb | 2019-02-17 02:02:29 |
| CPU Garage | 46 °c | 76 % | 4 % | NULL mb | NULL mb | 2019-02-17 02:02:39 |
| CPU Doorb. | 42 °c | 61 % | 72 % | NULL mb | NULL mb | 2019-02-17 02:02:46 |
| CPU Doorb. | 42 °c | 61 % | 72 % | NULL mb | NULL mb | 2019-02-17 02:02:46 |
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.