blockhydrographFromFile
Extends from Modelica.Blocks.Interfaces.MO (Multiple Output continuous control block).
Information
This block was modified from Modelica.Blocks.Sources.CombiTimeTable to fit the needs of the WaterHub model. When connecting this block to an end-use model, remember to connect it to y[1] (and not y[:], as the default). This is a bug that will be addressed in the future. The block accepts .txt and .csv files containing a table that has the following format
#1 float FlowTable(86400, 4) 0, 0.0, 0.0, 0.0 1, 0.0, 0.0, 0.0 2, 0.0, 0.0, 0.0 ...
where the first column is the time (86400 rows for one day simulation at second resolution, which can be tuned as required), the second column the probability for an end-use event to happen, the third column the cumulative frequency and the fourth column the water flow generated by a random event. This kind of table is generated by a python script named HydroGen, for 'Hydrograph Generator'. See specific documentation for use.
The following information is copied from the TimeCombiTable Block information:
This block generates an output signal y[:] by constant, linear or cubic Hermite spline interpolation in a table. The time points and function values are stored in a matrix table[i,j], where the first column table[:,1] contains the time points and the other columns contain the data to be interpolated.
Via parameter columns it can be defined which columns of the table are interpolated. If, e.g., columns={2,4}, it is assumed that 2 output signals are present and that the first output is computed by interpolation of column 2 and the second output is computed by interpolation of column 4 of the table matrix. The table interpolation has the following properties:
- The time points need to be strictly increasing for cubic Hermite spline interpolation, otherwise monotonically increasing.
- Discontinuities are allowed for (constant or) linear interpolation, by providing the same time point twice in the table.
- Values outside of the table range, are computed by
extrapolation according to the setting of parameter
extrapolation:
extrapolation = 1: Hold the first or last value of the table, if outside of the table scope. = 2: Extrapolate by using the derivative at the first/last table points if outside of the table scope. (If smoothness is LinearSegments or ConstantSegments this means to extrapolate linearly through the first/last two table points.). = 3: Periodically repeat the table data (periodical function). = 4: No extrapolation, i.e. extrapolation triggers an error - Via parameter smoothness it is defined how the data is interpolated:
smoothness = 1: Linear interpolation = 2: Akima interpolation: Smooth interpolation by cubic Hermite splines such that der(y) is continuous, also if extrapolated. = 3: Constant segments = 4: Fritsch-Butland interpolation: Smooth interpolation by cubic Hermite splines such that y preserves the monotonicity and der(y) is continuous, also if extrapolated. = 5: Steffen interpolation: Smooth interpolation by cubic Hermite splines such that y preserves the monotonicity and der(y) is continuous, also if extrapolated. - If the table has only one row, no interpolation is performed and the table values of this row are just returned.
- Via parameters startTime and offset the curve defined by the table can be shifted both in time and in the ordinate value. The time instants stored in the table are therefore relative to startTime. If time < startTime, no interpolation is performed and the offset is used as ordinate value for all outputs.
- The table is implemented in a numerically sound way by always generating time events at interval boundaries, in case of interpolation by constant or linear segments. This generates continuously differentiable values for the integrator. (In package Modelica v3.2 and earlier, time events had always been generated at interval boundaries if smoothness was LinearSegments, which means the blocks TimeTable and CombiTimetable behaved identically. In contrast, in packages Modelica v3.2.1 and v3.2.2 time events were only generated for replicated time points, which could lead to unexpected simulation results. This behaviour was later reverted again to match the previous behaviour of Modelica v3.2 and earlier.)
- Via parameter timeScale the first column of the table array can be scaled, e.g., if the table array is given in hours (instead of seconds) timeScale shall be set to 3600.
- For special applications it is sometimes needed to know the minimum and maximum time instant defined in the table as a parameter. For this reason parameters t_min/t_minScaled and t_max/t_maxScaled are provided and can be accessed from the outside of the table object. Whereas t_min and t_max define the scaled abscissa values (using parameter timeScale) in SIunits.Time, t_minScaled and t_maxScaled define the unitless original abscissa values of the table.
Example:
table = [0, 0;
1, 0;
1, 1;
2, 4;
3, 9;
4, 16];
extrapolation = 2 (default)
If, e.g., time = 1.0, the output y = 0.0 (before event), 1.0 (after event)
e.g., time = 1.5, the output y = 2.5,
e.g., time = 2.0, the output y = 4.0,
e.g., time = 5.0, the output y = 23.0 (i.e., extrapolation via last 2 points).
The table matrix can be defined in the following ways:
- Explicitly supplied as parameter matrix "table",
and the other parameters have the following values:
tableName is "NoName" or has only blanks, fileName is "NoName" or has only blanks.
- Read from a file "fileName" where the matrix is stored as
"tableName". Both ASCII and MAT-file format is possible.
(The ASCII format is described below).
The MAT-file format comes in four different versions: v4, v6, v7 and v7.3.
The library supports at least v4, v6 and v7 whereas v7.3 is optional.
It is most convenient to generate the MAT-file from FreeMat or MATLAB®
by command
save tables.mat tab1 tab2 tab3
or Scilab by commandsavematfile tables.mat tab1 tab2 tab3
when the three tables tab1, tab2, tab3 should be used from the model.
Note, a fileName can be defined as URI by using the helper function loadResource. - Statically stored in function "usertab" in file "usertab.c". The matrix is identified by "tableName". Parameter fileName = "NoName" or has only blanks. Row-wise storage is always to be preferred as otherwise the table is reallocated and transposed.
When the constant "NO_FILE_SYSTEM" is defined, all file I/O related parts of the source code are removed by the C-preprocessor, such that no access to files takes place.
If tables are read from an ASCII-file, the file needs to have the following structure ("-----" is not part of the file content):
----------------------------------------------------- #1 double tab1(6,2) # comment line 0 0 1 0 1 1 2 4 3 9 4 16 double tab2(6,2) # another comment line 0 0 2 0 2 2 4 8 6 18 8 32 -----------------------------------------------------
Note, that the first two characters in the file need to be "#1" (a line comment defining the version number of the file format). Afterwards, the corresponding matrix has to be declared with type (= "double" or "float"), name and actual dimensions. Finally, in successive rows of the file, the elements of the matrix have to be given. The elements have to be provided as a sequence of numbers in row-wise order (therefore a matrix row can span several lines in the file and need not start at the beginning of a line). Numbers have to be given according to C syntax (such as 2.3, -2, +2.e4). Number separators are spaces, tab (\t), comma (,), or semicolon (;). Several matrices may be defined one after another. Line comments start with the hash symbol (#) and can appear everywhere. Other characters, like trailing non comments, are not allowed in the file.
MATLAB is a registered trademark of The MathWorks, Inc.
Parameters
| Type | Name | Default | Description |
|---|---|---|---|
| Integer | nout (from MO) | 1 | Number of outputs |
| Modelica.SIunits.Time | t_min | Minimum abscissa value defined in table | |
| Modelica.SIunits.Time | t_max | Maximum abscissa value defined in table | |
| Real | t_minScaled | Minimum (scaled) abscissa value defined in table | |
| Real | t_maxScaled | Maximum (scaled) abscissa value defined in table | |
| Table data definition | |||
| Boolean | tableOnFile | true | = true, if table is defined on file or in function usertab |
| Real[:,:] | table | fill(0.0, 0, 2) | Table matrix (time = first column; e.g., table=[0, 0; 1, 1; 2, 4]) |
| Boolean | verboseRead | true | = true, if info message that file is loading is to be printed |
| Table definition | |||
| String | tableName | "FlowTable" | Table name on file or in function usertab (see docu) |
| String | fileName | "FileName" | File where matrix is stored |
| Table data interpretation | |||
| Integer[:] | columns | {2} | Columns of table to be interpolated, column 4 is default |
| More options › Table data interpretation | |||
| Modelica.Blocks.Types.Smoothness | smoothness | Modelica.Blocks.Types.Smoothness.LinearSegments | Smoothness of table interpolation |
| Modelica.Blocks.Types.Extrapolation | extrapolation | Modelica.Blocks.Types.Extrapolation.LastTwoPoints | Extrapolation of data outside the definition range |
| Real[:] | offset | {0} | Offsets of output signals |
| Modelica.SIunits.Time | startTime | 0 | Output = offset for time < startTime |
| Modelica.SIunits.Time | timeScale | 1 | Time scale of first table column |
Connectors
| Type | Name | Default | Description |
|---|---|---|---|
| RealOutput[nout] | y (from MO) | Connector of Real output signals |
Contents
| Name | Description |
|---|---|
| Read table data from ASCII text or MATLAB MAT-file | |
| Interpolate 1-dim. table where first column is time | |
| Interpolate 1-dim. table where first column is time (but do not provide a derivative function) | |
| Derivative of interpolated 1-dim. table where first column is time | |
| Return minimum abscissa value of 1-dim. table where first column is time | |
| Return maximum abscissa value of 1-dim. table where first column is time | |
| Return next time event value of 1-dim. table where first column is time |
Revisions
Release Notes:
- April 09, 2013
by Thomas Beutlich:
Implemented as external object. - March 31, 2001
by Martin Otter:
Used CombiTableTime as a basis and added the arguments extrapolation, columns, startTime. This allows periodic function definitions.