Data series · Chapter 10

Scenario 1 — Filling

Inflow via Y1 and Y2, expected rise 2.55 l/s. Measurement: 2.551 l/s, B1 reports at 136.5 s.

Scenario
1 Filling
Expectation (criterion)
rise 2.55 l/s
Measurement
2.551 l/s; B1 at 136.5 s
Result
passed
Rows
3,000
Time range
0.05–150.00 s
Time step
Δt = 0.05 s
Columns
9
Download CSV To the chapter: Chapter 10 — Five test scenarios

Time series

Each quantity has its own axis and unit in its own panel; all share the time axis. The sensor bits appear as step lines. Clicking the legend shows or hides a quantity.

Time series of the measurement

Building the chart …

Quantities (click to show or hide)

    Controls: ← → move cursor (with ⇧ ten times) · Pos1 Ende to the edge · + − zoom · Bild↑ Bild↓ pan · 0 full series · Esc remove cursor. Drag a region with the mouse to zoom in. Values at the cursor belong to the nearest plotted data point; when zoomed far out the chart shows the minimum and maximum per pixel bucket so that single peaks stay visible. Exact values: zoom in or use the tables.

    Column description

    Name and unit come from the header row of the CSV file; the meaning follows the heated-tank model (chapter 8) and the recording (chapter 10).

    Columns of the series — Scenario 1 — Filling
    No.Column (CSV header) UnitTypeMeaning
    1 Zeit (s) s Time axis Time stamp of the row (model time); one row per calculation step of Δt = 0.05 s.
    2 Füllstand (l) l Process variable Water level in the tank (tank volume 0.5 m³ = 500 l).
    3 Temperatur (°C) °C Process variable Water temperature, calculated from energy and water mass.
    4 Druck (bar) bar Process variable Pressure in the head space (steam and air, partial pressures added).
    5 Heizleistung (W) W Process variable Currently effective heating power (PT1 lag, τ = 12 s, up to 150 kW).
    6 B1 Füllstand max — Sensor bit (0/1) Upper level sensor: 1 from 450 l, otherwise 0.
    7 B2 Füllstand min — Sensor bit (0/1) Lower level sensor: 1 at 50 l or less, otherwise 0.
    8 B3 Temperatur ≥95 °C — Sensor bit (0/1) Temperature sensor: 1 from 95 °C, otherwise 0.
    9 B4 Druck ≥2,8 bar — Sensor bit (0/1) Pressure sensor: 1 from 2.8 bar, otherwise 0.

    Statistics of the series

    All figures are computed from the rows of the CSV file (over the whole series, without smoothing) and describe this single run only. They make no statement about a real tank.

    3,000Rows (calculation steps)
    150.00stime covered
    0.05sTime step Δt
    8recorded quantities
    Statistics per process variable — Scenario 1 — Filling
    QuantityUnit CountMinimum MaximumMean First valueLast value
    Füllstand l 3,000 101.96t = 0.05 s 484.49t = 150.00 s 293.227 101.96 484.49
    Temperatur °C 3,000 16.051t = 149.95 s 19.994t = 0.05 s 17.0748 19.994 16.051
    Druck bar 3,000 0.0000t = 148.35 s 0.0099t = 141.60 s 0.0094 0.0081 0.0000
    Heizleistung W 3,000 0.0constant 0.0 0.00 0.0 0.0

    Below each extreme value is the time of the first row with that value. The mean is the simple mean over all rows (equal time steps).

    Sensor bits: switching times — Scenario 1 — Filling
    Sensor bit Rows with 1 Share first 1 at then 0 again at Changes
    B1 Füllstand max 271 9.033 % 136.50 s — 1
    B2 Füllstand min 0 0.000 % — — 0
    B3 Temperatur ≥95 °C 0 0.000 % — — 0
    B4 Druck ≥2,8 bar 0 0.000 % — — 0

    1 means the sensor is active (threshold reached), 0 not active (chapter 8). “Changes” counts the rows in which the value differs from the previous row.

    Values

    All rows of the CSV file, unchanged, 100 rows per page. Search and sorting run on the server; you can jump to a row or a time. “No.” is a running row number and not part of the CSV.

    901–1,000 of 3,000 rows Download CSV
    Values — Scenario 1 — Filling
    No. Zeit (s) Füllstand (l) Temperatur (°C) Druck (bar) Heizleistung (W) B1 Füllstand max B2 Füllstand min B3 Temperatur ≥95 °C B4 Druck ≥2,8 bar
    901 45.05216.7617.3490.00950.00000
    902 45.1216.8917.3480.00950.00000
    903 45.15217.0217.3460.00950.00000
    904 45.2217.1417.3450.00950.00000
    905 45.25217.2717.3440.00950.00000
    906 45.3217.417.3420.00950.00000
    907 45.35217.5317.3410.00950.00000
    908 45.4217.6517.3390.00950.00000
    909 45.45217.7817.3380.00950.00000
    910 45.5217.9117.3370.00950.00000
    911 45.55218.0417.3350.00950.00000
    912 45.6218.1617.3340.00950.00000
    913 45.65218.2917.3330.00950.00000
    914 45.7218.4217.3310.00950.00000
    915 45.75218.5517.330.00950.00000
    916 45.8218.6717.3290.00950.00000
    917 45.85218.817.3270.00950.00000
    918 45.9218.9317.3260.00950.00000
    919 45.95219.0617.3240.00950.00000
    920 46.0219.1817.3230.00950.00000
    921 46.05219.3117.3220.00960.00000
    922 46.1219.4417.320.00960.00000
    923 46.15219.5717.3190.00960.00000
    924 46.2219.6917.3180.00960.00000
    925 46.25219.8217.3160.00960.00000
    926 46.3219.9517.3150.00960.00000
    927 46.35220.0817.3140.00960.00000
    928 46.4220.217.3120.00960.00000
    929 46.45220.3317.3110.00960.00000
    930 46.5220.4617.310.00960.00000
    931 46.55220.5917.3080.00960.00000
    932 46.6220.7117.3070.00960.00000
    933 46.65220.8417.3060.00960.00000
    934 46.7220.9717.3040.00960.00000
    935 46.75221.117.3030.00960.00000
    936 46.8221.2217.3020.00960.00000
    937 46.85221.3517.30.00960.00000
    938 46.9221.4817.2990.00960.00000
    939 46.95221.6117.2980.00960.00000
    940 47.0221.7317.2960.00960.00000
    941 47.05221.8617.2950.00960.00000
    942 47.1221.9917.2940.00960.00000
    943 47.15222.1217.2920.00960.00000
    944 47.2222.2417.2910.00960.00000
    945 47.25222.3717.290.00960.00000
    946 47.3222.517.2880.00960.00000
    947 47.35222.6317.2870.00960.00000
    948 47.4222.7617.2860.00960.00000
    949 47.45222.8817.2850.00960.00000
    950 47.5223.0117.2830.00960.00000
    951 47.55223.1417.2820.00960.00000
    952 47.6223.2717.2810.00960.00000
    953 47.65223.3917.2790.00960.00000
    954 47.7223.5217.2780.00960.00000
    955 47.75223.6517.2770.00960.00000
    956 47.8223.7817.2750.00960.00000
    957 47.85223.917.2740.00960.00000
    958 47.9224.0317.2730.00960.00000
    959 47.95224.1617.2720.00960.00000
    960 48.0224.2917.270.00960.00000
    961 48.05224.4117.2690.00960.00000
    962 48.1224.5417.2680.00960.00000
    963 48.15224.6717.2660.00960.00000
    964 48.2224.817.2650.00960.00000
    965 48.25224.9217.2640.00960.00000
    966 48.3225.0517.2630.00960.00000
    967 48.35225.1817.2610.00960.00000
    968 48.4225.3117.260.00960.00000
    969 48.45225.4317.2590.00960.00000
    970 48.5225.5617.2570.00960.00000
    971 48.55225.6917.2560.00960.00000
    972 48.6225.8217.2550.00960.00000
    973 48.65225.9417.2540.00960.00000
    974 48.7226.0717.2520.00960.00000
    975 48.75226.217.2510.00960.00000
    976 48.8226.3317.250.00960.00000
    977 48.85226.4517.2490.00960.00000
    978 48.9226.5817.2470.00960.00000
    979 48.95226.7117.2460.00960.00000
    980 49.0226.8417.2450.00960.00000
    981 49.05226.9617.2430.00960.00000
    982 49.1227.0917.2420.00960.00000
    983 49.15227.2217.2410.00960.00000
    984 49.2227.3517.240.00960.00000
    985 49.25227.4717.2380.00960.00000
    986 49.3227.617.2370.00960.00000
    987 49.35227.7317.2360.00960.00000
    988 49.4227.8617.2350.00960.00000
    989 49.45227.9817.2330.00960.00000
    990 49.5228.1117.2320.00960.00000
    991 49.55228.2417.2310.00960.00000
    992 49.6228.3717.230.00960.00000
    993 49.65228.4917.2280.00960.00000
    994 49.7228.6217.2270.00960.00000
    995 49.75228.7517.2260.00960.00000
    996 49.8228.8817.2250.00960.00000
    997 49.85229.0117.2230.00960.00000
    998 49.9229.1317.2220.00960.00000
    999 49.95229.2617.2210.00960.00000
    1,000 50.0229.3917.220.00960.00000

    Source and citation

    Data source: Own measurement series, recorded on the model function compute_step (step size Δt = 0.05 s) according to the test log of the bachelor thesis (2026); set-up and evaluation see Chapter 10 — Five test scenarios.

    How to cite

    Kotsch, A. H. (2026): Dataset „Scenario 1 — Filling“ (3,000 rows, time 0.05–150.00 s). Supplement to the bachelor thesis „Digital twins for PLC-coupled laboratory systems“, Duale Hochschule Sachsen — Studienakademie Glauchau. https://thesis.kotsch.tech/daten/szenario-1-befuellung (accessed 2026-11-14).

    Limits of this data
    • Classification (chapter 10): Direction and order of magnitude agree; B1 switches when 450 l is reached.
    • The expected values come from hand calculation and the analytical solution with the parameters of the model; agreement shows the correct implementation, not the accuracy compared with a real tank. Each scenario covers a single run with fixed boundary conditions. (Chapter 10)
    • Without measurement data from a real tank, validation is limited to internal consistency. (Chapter 11)

    More datasets

    16 rows · 2 columns Key figures of the platform View → 6,000 rows · 9 columns Scenario 2 — Heating with PT1 behaviour View → 25,809 rows · 9 columns Scenario 3 — Pressure build-up and venting View → 2,200 rows · 9 columns Scenario 4 — Draining View → 1,200 rows · 9 columns Scenario 5 — Edge case: empty tank View → 5 rows · 4 columns Five test scenarios — expectation versus measurement View →