Ein Simulator für Risse in historischen Bauwerken ;-) Bzw. ein Messaufbau für Sensoren für Abstandsmessung zur Überwachung von entsprechenden Rissen.
Der Rissimulator16153 und die entsprechenden „Sensoren in einer Aufputzdose“ sind Teil des Projekts MünsterMonitoring.
Folgende Messwerte sollen erhoben werden
| VL6180X | BME280 | Platine | |
|---|---|---|---|
| Distanz | x | ||
| Umgebungshelligkeit | x | ||
| Temperatur | x | ||
| Rel. Luftfeuchte | x | ||
| Luftdruck | x | ||
| Batteriespannung | x |
Neueste Einträge oben; Zeitstempel jeweils Start eines neuen Experiments.
sSingle = c(29,27,28,27,25,27,27,28,26,25,28,28,28,28,26,28,27,26,26,27,27,28,26,27,27,26,28,27,28,26,28,26,26,28,27,27,26,29,27,26,26,26,26,26,28,27,26,27,26,26,26,28,27,26,26,27,27,27,28,26,27,27,27,28,27,26,26,27,26,26,28,27,28,27,28,27,27,26,28,28,29,26,27,27,26,27,27,27,26,28,27,27,26,25,28,28,29,27,26,27,27,30,28,27,27,26,27,27,28,26,30,28,27,26,27,29,28,26,26,26,28,29,27,27,28,27,27,26,29,25,25,28,25,26,28,27,27,26,27,28,28,26,28,25,27,28,28,26,28,26,28,25,25,26,27,27,27,27,27,26,28,27,28,27,27,26,27,27,27,28,27,27,25,27,27,27,26,28,27,28,27,26,28,26,27,27,27,27,28,27,24,26,28,27,27,26,28,26,27,27,25,29,28,26,27,27,27,27,27,27,28,26,26,26,27,27,27,27,27,26,27,26,26,27,27,26,28,28,26,25,27,25,26,26,27,25,29,27,28,27,27,28,27,27,26,28,26,25,26,28,28,27,27,26,26,26,26,26,27,27,27,26,27,27,27,27,27,26,27,27,28,28,27,26,28,27,27,25,26,27,26,27,27,27,28,26,28,27,27,27,28,27,28,27,27,26,26,27,26,27,27,27,28,26,26,26,26,26,26,26,26,27,27,28,26,28,25,27,27,26,27,27,27,27,26,27,28,24,28,28,26,28,26,27,27,27,25,26,27,27,27,28,29,27,29,27,27,27,27,27,27,27,28,25,28,27,29,28,27,27,27,27,26,27,27,28,27,27,27,27,26,28,27,28,27,28,24,27,27,27,28,25,25,27,26,27,26,28,25,28,29,29,27,25,28,27,28,27,26,28)
summary(sSingle)
Min. 1st Qu. Median Mean 3rd Qu. Max.
24.00 26.00 27.00 26.91 28.00 30.00
sd(sSingle)
[1] 0.9691481
sContinuous = c(27,28,30,28,27,27,27,27,27,27,28,28,29,29,27,28,26,27,26,26,28,26,26,27,26,27,28,29,27,26,28,27,27,27,27,26,26,26,27,28,28,26,28,27,29,29,27,27,27,27,27,27,27,28,26,27,27,27,25,26,29,25,27,26,28,27,27,28,27,26,26,27,27,26,29,27,26,26,28,29,25,27,26,28,27,27,28,27,28,27,27,26,27,27,28,27,26,27,26,27,27,26,26,26,27,25,29,26,26,27,26,27,28,27,27,26,26,27,27,28,26,27,27,26,27,26,27,27,27,26,27,26,26,28,27,27,27,28,25,27,27,27,27,25,26,26,27,27,26,28,26,26,26,26,26,28,26,27,25,28,27,28,27,27,26,29,27,27,27,25,28,28,24,27,28,27,28,25,25,26,27,26,28,28,27,26,26,25,28,28,28,27,27,27,27,27,25,26,25,26,27,27,26,27,28,27,26,27,28,27,28,27,25,26,26,26,28,27,27,26,27,28,26,26,26,27,27,27,27,28,27,28,27,27,28,28,27,27,26,26,27,28,26,27,28,28,26,26,26,28,27,28,26,27,27,27,27,28,28,27,28,28,29,27,27,29,27,29,26,29,25,27,27,29,28,26,27,29,26,28,27,26,27,26,26,27,27,27,27,26,27,26,27,26,28,28,26,27,28,28,28,25,26,27,26,28,28,26,27,27,29,27,26,26,29,29,28,28,27,27,27,28,27,27,27,27,28,26,28,27,29,28,27,27,27,28,25,29,28,28,28,26,27,25,26,26,28,28,26,28,26,28,28,28,28,27,27,28,28,27,27,28,29,26,29,27,25,26,27,27,28,28,28,27,27,27,28,27,28,27,28,26,28,27,28,26,27,27,26,27,29,26,27,28,27,26,27,28,28,28)''
summary(sContinuous)
Min. 1st Qu. Median Mean 3rd Qu. Max.
24.00 26.00 27.00 27.02 28.00 30.00
sd(sContinuous)
[1] 0.9782599
sContinuousFast = c(29,28,27,30,27,28,27,28,27,27,28,28,26,29,28,29,29,29,28,28,28,28,28,28,28,26,28,28,27,28,27,27,28,27,28,28,27,29,29,27,29,28,27,28,26,28,27,30,28,27,27,27,28,27,29,27,27,28,26,27,26,29,27,28,27,29,29,28,27,27,27,27,28,27,27,28,29,27,26,27,27,27,28,26,28,27,27,28,29,27,28,29,27,26,28,26,28,28,28,28,28,28,26,28,27,28,28,29,28,28,26,28,26,28,28,28,27,26,27,28,29,27,29,31,28,26,27,27,28,28,28,28,30,28,28,26,26,29,29,26,27,27,27,28,25,26,27,29,27,27,28,28,29,28,28,27,28,27,29,27,25,28,27,27,27,28,28,28,27,27,27,27,27,26,27,27,28,28,27,27,29,28,27,27,27,28,27,28,27,25,26,27,28,27,27,29,29,29,27,27,30,28,28,29,27,29,28,28,27,28,28,28,27,27,29,28,28,29,26,26,27,27,28,30,28,28,28,27,26,26,30,27,28,28,29,26,27,27,30,30,28,28,28,30,29,27,29,27,27,27,28,28,29,28,27,28,26,27,27,28,28,27,29,27,26,27,30,28,27,27,27,28,29,28,28,28,28,27,28,28,27,29,28,27,27,28,28,27,26,27,27,27,27,28,26,28,28,26,28,27,28,27,28,29,27,27,26,27,28,28,28,28,28,27,28,29,27,28,28,27,27,26,28,26,29,26,28,29,27,27,29,28,28,26,28,30,27,28,28,28,28,26,30,30,27,27,27,29,28,29,28,27,27,28,28,28,29,29,28,29,29,29,28,29,27,26,29,27,28,27,28,26,27,29,26,28,28,27,28,27,27,27,28,27,26,26,27,26,27,27,29,29,26,27,29,28,29,28,26,27)''
summary(sContinuousFast)
Min. 1st Qu. Median Mean 3rd Qu. Max.
25.00 27.00 28.00 27.63 28.00 31.00
sd(sContinuousFast)
[1] 1.004972
install.packages("tidyverse")
library(tidyverse) # Daten laden, z.B. sSingle von oben: summary(sSingle) df_sSingle = data.frame(sSingle) plot = ggplot(df_sSingle, aes(sSingle)) plot + geom_bar()