Customizing with Threshold Values

• In PLANTA, there are different data items that calculate the threshold values (limiting values) and change the output value accordingly.
  • Traffic light data items
    • They are customized as complex DIs with sub Dis and assigned to the required DIs.
      • The threshold values are defined in the sub DIs
      • or global variables for threshold values are entered in sub DIs. For further information, see Traffic Light Customizing
    • NEW Traffic light Dis can be customized as regular DIs with value ranges with VR type=PY by calculating the threshold values via the check_limit() function and the global variables in which the threshold values for the traffic light colors are saved are read.
  • OLE data items for traffic light values
    • NEW Traffic light DIs can be customized as regular DIs with value ranges with VR type=PY by calculating the threshold values via the check_limit() function and the global variables in which the threshold values for the traffic light colors are saved are read.
  • Text data items
    • NEW Most of these data items use value ranges with VR type=PY by calculating the threshold values via the check_limit() function and the global variables in which the threshold values for the traffic light colors are saved are read.

• Text data items
  • These data items use value ranges with VR type=CO (calculation upon output), in which the threshold values are calculated in line with the IIFS formula and the respective text constants are output depending on it.

Python Value Ranges for Threshold Value Calculation

• The check_limit() function is contained in the ppms_cu.py, which takes care of the calculation of the values and reads out the global variables or text constants.
• The threshold values are grouped by application area within the function.
• Groups serve as a key.
• OLE object and/or text constants are assigned to groups as values.
• The global variables and text constants are stored in Python classes that are assigned to a threshold value group each.
• Output is done depending on the PPMS class of the calling data item.

• Optionally, a mandatory DI can be specified, which defines, that the calculation of the output value only takes place if this DI is filled.

Example

from ppms import ppms_cu
def computeOutput(di):
    mod_obj = ppms.get_active_module()
return ppms_cu.check_limit(di,mod_obj,'dev_misc','cost','misc_budget')
computeOutput.deps = ('DI028529','DI028545')

Predefined groups

Group key	OLE	Values
MS		without delay/ up to 5% / over 5%
Date		...
Date_Circle
Date_Trend
Cost
Effort
Trend
Tdi		delayed / today / in the future