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

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.

    1–100 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
    1 0.05101.9619.9940.00810.00000
    2 0.1102.0919.9880.00810.00000
    3 0.15102.2219.9810.00810.00000
    4 0.2102.3519.9750.00810.00000
    5 0.25102.4719.9690.00810.00000
    6 0.3102.619.9630.00810.00000
    7 0.35102.7319.9570.00810.00000
    8 0.4102.8619.950.00810.00000
    9 0.45102.9819.9440.00810.00000
    10 0.5103.1119.9380.00810.00000
    11 0.55103.2419.9320.00810.00000
    12 0.6103.3719.9260.00810.00000
    13 0.65103.4919.920.00810.00000
    14 0.7103.6219.9140.00810.00000
    15 0.75103.7519.9080.00810.00000
    16 0.8103.8819.9020.00810.00000
    17 0.85104.0119.8960.00820.00000
    18 0.9104.1319.890.00820.00000
    19 0.95104.2619.8840.00820.00000
    20 1.0104.3919.8780.00820.00000
    21 1.05104.5219.8720.00820.00000
    22 1.1104.6419.8660.00820.00000
    23 1.15104.7719.860.00820.00000
    24 1.2104.919.8540.00820.00000
    25 1.25105.0319.8480.00820.00000
    26 1.3105.1519.8420.00820.00000
    27 1.35105.2819.8360.00820.00000
    28 1.4105.4119.8310.00820.00000
    29 1.45105.5419.8250.00820.00000
    30 1.5105.6619.8190.00820.00000
    31 1.55105.7919.8130.00820.00000
    32 1.6105.9219.8070.00820.00000
    33 1.65106.0519.8020.00820.00000
    34 1.7106.1719.7960.00820.00000
    35 1.75106.319.790.00820.00000
    36 1.8106.4319.7840.00820.00000
    37 1.85106.5619.7790.00820.00000
    38 1.9106.6819.7730.00820.00000
    39 1.95106.8119.7670.00820.00000
    40 2.0106.9419.7610.00820.00000
    41 2.05107.0719.7560.00830.00000
    42 2.1107.1919.750.00830.00000
    43 2.15107.3219.7440.00830.00000
    44 2.2107.4519.7390.00830.00000
    45 2.25107.5819.7330.00830.00000
    46 2.3107.719.7280.00830.00000
    47 2.35107.8319.7220.00830.00000
    48 2.4107.9619.7160.00830.00000
    49 2.45108.0919.7110.00830.00000
    50 2.5108.2119.7050.00830.00000
    51 2.55108.3419.70.00830.00000
    52 2.6108.4719.6940.00830.00000
    53 2.65108.619.6890.00830.00000
    54 2.7108.7219.6830.00830.00000
    55 2.75108.8519.6780.00830.00000
    56 2.8108.9819.6720.00830.00000
    57 2.85109.1119.6670.00830.00000
    58 2.9109.2319.6610.00830.00000
    59 2.95109.3619.6560.00830.00000
    60 3.0109.4919.6510.00830.00000
    61 3.05109.6219.6450.00830.00000
    62 3.1109.7419.640.00830.00000
    63 3.15109.8719.6340.00830.00000
    64 3.2110.019.6290.00830.00000
    65 3.25110.1319.6240.00830.00000
    66 3.3110.2619.6180.00840.00000
    67 3.35110.3819.6130.00840.00000
    68 3.4110.5119.6080.00840.00000
    69 3.45110.6419.6020.00840.00000
    70 3.5110.7719.5970.00840.00000
    71 3.55110.8919.5920.00840.00000
    72 3.6111.0219.5860.00840.00000
    73 3.65111.1519.5810.00840.00000
    74 3.7111.2819.5760.00840.00000
    75 3.75111.419.5710.00840.00000
    76 3.8111.5319.5650.00840.00000
    77 3.85111.6619.560.00840.00000
    78 3.9111.7919.5550.00840.00000
    79 3.95111.9119.550.00840.00000
    80 4.0112.0419.5450.00840.00000
    81 4.05112.1719.5390.00840.00000
    82 4.1112.319.5340.00840.00000
    83 4.15112.4219.5290.00840.00000
    84 4.2112.5519.5240.00840.00000
    85 4.25112.6819.5190.00840.00000
    86 4.3112.8119.5140.00840.00000
    87 4.35112.9319.5090.00840.00000
    88 4.4113.0619.5040.00840.00000
    89 4.45113.1919.4990.00840.00000
    90 4.5113.3219.4930.00840.00000
    91 4.55113.4419.4880.00840.00000
    92 4.6113.5719.4830.00840.00000
    93 4.65113.719.4780.00840.00000
    94 4.7113.8319.4730.00850.00000
    95 4.75113.9519.4680.00850.00000
    96 4.8114.0819.4630.00850.00000
    97 4.85114.2119.4580.00850.00000
    98 4.9114.3419.4530.00850.00000
    99 4.95114.4619.4480.00850.00000
    100 5.0114.5919.4430.00850.00000

    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