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 | 60 °c | 4 % | 4 % | NULL mb | NULL mb | 2020-08-11 17:09:57 |
| CPU Attic | 46 °c | 43 % | 77 % | NULL mb | NULL mb | 2020-08-11 02:02:54 |
| CPU Util | 58 °c | 6 % | 19 % | NULL mb | NULL mb | 2020-08-11 02:03:15 |
| CPU Study | 75 °c | 76 % | 6 % | NULL mb | NULL mb | 2020-08-11 02:02:39 |
| CPU Garage | 72 °c | 76 % | 4 % | NULL mb | NULL mb | 2020-08-11 02:02:39 |
| CPU Zigbee | 50 °c | 8 % | 16 % | NULL mb | NULL mb | 2020-08-11 06:16:23 |
| CPU Zigbee | 50 °c | 8 % | 16 % | NULL mb | NULL mb | 2020-08-11 06:16:23 |
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.