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Filter OPC UA data by quality characteristics
newObj = filterByQuality(dObj,qualityID)
newObj = filterByQuality(dObj,qualityID) returns the data values from dObj whose quality matches the qualityID.
newObj
dObj
qualityID
example
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Load the OPC UA example data file, extract data of good quality from the uaDataVis object.
good
uaDataVis
load opcSampleUaData; summary(uaDataVis);
1-by-3 OPC UA Data object: Name Value Start Timestamp End Timestamp Quality ------ ---------------- ------------------- ------------------- ------------------ Double 9 double values 2015-04-22 09:00:10 2015-04-22 09:01:30 3 unique qualities Float 12 single values 2015-04-22 09:00:02 2015-04-22 09:01:30 3 unique qualities Int32 12 int32 values 2015-04-22 09:00:02 2015-04-22 09:01:30 3 unique qualities
newD = filterByQuality(uaDataVis,'Good')
newD = 1-by-3 OPC UA Data object: Name Value Start Timestamp End Timestamp Quality ------ ---------------- ------------------- ------------------- ----------------------------- Double 7 double values 2015-04-22 09:00:10 2015-04-22 09:01:30 1 unique quality [Good (Raw)] Float 10 single values 2015-04-22 09:00:02 2015-04-22 09:01:30 1 unique quality [Good (Raw)] Int32 10 int32 values 2015-04-22 09:00:02 2015-04-22 09:01:30 1 unique quality [Good (Raw)]
OPC UA data, specified as an OPC UA data object array. For more information, see Data.
Data
Quality of OPC UA node data, specified as a character vector or cell array of character vectors. The quality ID can be 'good', 'bad', or 'uncertain'.
'good'
'bad'
'uncertain'
OPC UA data, returned as an OPC UA data object array. newObj contains only the data values whose quality matches the specified qualityID.
Introduced in R2015b
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