Stationarity (aka potential death) on the scale of a day can be found by exploring the number of pings (detections), the number of nodes a tag was detected at, and the standard deviation of rssi values. When a tag is stationary, each of these values should be quite low.
Hourly detections can help find a tag that went stationary during a given day and help us pinpoint when a tag went stationary. Look for low detections, number of nodes, and standard deviation values. Focus on situations where multiple adjacent values are low (just one or two may represent resting).
Note: To make things easier to interpret, I’ve subset these records to only observations between sunrise and sunset.
The 5-minute interval plots show the maximum RSSI values across 5-minute intervals for:
Look for variation in signal strength for a given node across time (see morning and evening records to get a sense of what lack-of-variation looks like).
Note: If there are not a lot of points, this is rarely useful!
Here is a summary of yesterday’s detections:
The number of daily detections:
The number of nodes a tag was detected at per day:
The average variance, by node, by day:
The number of hourly detections:
The number of nodes that a tag was detected at, per hour:
The hourly average standard deviation, by node:
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Here is a summary of yesterday’s detections:
The number of daily detections:
The number of nodes a tag was detected at per day:
The average variance, by node, by day:
The number of hourly detections:
The number of nodes that a tag was detected at, per hour:
The hourly average standard deviation, by node:
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The tag as last seen on 2023-06-22 22:07:44 at node 3b56bf with an rssi of -109.
map_last_time("34346155", time_since = "2023-06-22 19:00")
The tag as last seen on 2023-06-15 04:36:47 at nodes 3b4d96, 376d37, and 3b575f with rssi values of -109, -106, and -90, respectively.
map_last_time("2A4C1E2D", time_since = "2023-06-15 04:00")
The tag as last seen on 2023-07-13 04:41:51 at node 3b6456 with an rssi of -86.
map_last_time("1907192D", time_since = "2023-06-16 06:00")
The tag as last seen on 2023-07-16 04:48:55 at node 33b56c with an rssi of -109.
map_last_time("07342A07", time_since = "2023-06-21 01:00")
The tag as last seen on 2023-07-11 10:15:36 at nodes 3b471b, 378409, 3b5482, and 33cc28 with rssi values of -109, -108, -105, and -100, respectively.
map_last_time("194B2A2A", time_since = "2023-06-20 16:30")
Here is a summary of yesterday’s detections:
The number of daily detections:
The number of nodes a tag was detected at per day:
The average variance, by node, by day:
The number of hourly detections:
The number of nodes that a tag was detected at, per hour:
The hourly average standard deviation, by node:
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The tag as last seen on 2023-06-22 13:23:45 at node 3b4226 with an rssi of -108.
map_last_time("611E5219", time_since = "2023-06-22 13:23")
The tag as last seen on 2023-07-12 08:13:44 at node 3b6456 with an rssi of -109.
map_last_time("55616107", time_since = "2023-06-25 10:00")
The tag as last seen on 2023-07-05 11:59:40 at node 377302 with an rssi of -108.
map_last_time("1E554B19", time_since = "2023-06-14 16:00")
The tag as last seen on 2023-07-15 03:35:03 at node 33b56c with an rssi of -108.
map_last_time("34616633", time_since = "2023-06-25 12:00")
The tag as last seen on 2023-07-06 13:47:10 at node 33cc28 with an rssi of -104.
map_last_time("1E552D19", time_since = "2023-06-17 10:00")
The tag as last seen on 2023-06-08 16:52:52 at node 339e42 with an rssi of -102.
map_last_time("55526107", time_since = "2023-06-08 16:50")
The tag as last seen on 2023-06-14 16:04:07 at node 3b575f with an rssi of -110.
map_last_time("66667855", time_since = "2023-06-14 10:00")