RawByFilterToggle Sampling Mode

The RawByFilterToggle sampling mode is a form of filtered data query. A filtered data query returns data values for a particular time period whereas RawByFilterToggle sampling mode returns the time periods where the condition becomes TRUE or FALSE. The RawByFilterToggle sampling mode returns the Timestamp, Value, and Data Quality for the matching entries. The data values returned will have the same tagname which you queried for.

RawByFilterToggle returns only 0 and 1. The value 1 is returned with a timestamp when the filter condition becomes TRUE, and the value 0 is returned with the timestamp when the filter condition becomes FALSE. You can have multiple pairs of 1 and 0 values if the condition becomes TRUE multiple times between the start and end time. If the condition never became TRUE between the start and end time, you will not get any values.

Timestamp

The RawByFilterToggle sampling mode returns 0 and 1 as values. The value 1 is returned with a timestamp when the filter condition becomes TRUE, and the value 0 is returned with the timestamp when the filter condition becomes FALSE. You can have multiple pairs of 1 and 0 values if the condition becomes TRUE multiple times between the start and end time. If the condition never became TRUE between the start and end time, you will not get any values. You can use a filterexpression to return the time ranges that match the criteria.

The RawByFilterToggle sampling mode can return any timestamp between the start and end time, depending on if and when the condition becomes TRUE or FALSE. The timestamps returned can be queried further using RawByTime, RawByNumber, Interpolated, or any other sampling or calculation mode.

Value

This sampling mode only returns 0 and 1 as values. The value 1 is returned with a timestamp where the filter condition is TRUE and 0 is returned with the timestamp where the filter condition is FALSE.

Data Quality

The RawByFilterToggle considers only Good quality data.

Retrieving Data Using RawByFilterToggle Sampling Mode

The following two examples use this data that is imported into Proficy Historian. This data will be used in the examples for retrieving data with the RawByFilterToggle sampling mode.

[Tags] 
Tagname,DataType,HiEngineeringUnits,
LoEngineeringUnits RAMP,SingleInteger,10,0
[Data]
Tagname,TimeStamp,Value,Data Quality 
RAMP,25-Feb-2013 07:00:00.000,0,Good, 
RAMP,25-Feb-2013 07:00:01.000,1,Good, 
RAMP,25-Feb-2013 07:00:02.000,2,Good, 
RAMP,25-Feb-2013 07:00:03.000,3,Good, 
RAMP,25-Feb-2013 07:00:04.000,4,Good, 
RAMP,25-Feb-2013 07:00:05.000,5,Good, 
RAMP,25-Feb-2013 07:00:06.000,6,Good, 
RAMP,25-Feb-2013 07:00:07.000,7,Good, 
RAMP,25-Feb-2013 07:00:08.000,8,Good, 
RAMP,25-Feb-2013 07:00:09.000,9,Good, 
RAMP,25-Feb-2013 07:00:10.000,10,Good, 
RAMP,25-Feb-2013 07:00:11.000,11,Good, 
RAMP,25-Feb-2013 07:00:12.000,12,Good, 
RAMP,25-Feb-2013 07:00:13.000,13,Good, 
RAMP,25-Feb-2013 07:00:14.000,14,Good, 
RAMP,25-Feb-2013 07:00:15.000,15,Good, 
RAMP,25-Feb-2013 07:00:16.000,16,Good, 
RAMP,25-Feb-2013 07:00:17.000,17,Good, 
RAMP,25-Feb-2013 07:00:18.000,18,Good, 
RAMP,25-Feb-2013 07:00:19.000,19,Good, 
RAMP,25-Feb-2013 07:00:20.000,20,Good, 
RAMP,25-Feb-2013 07:00:21.000,21,Good, 
RAMP,25-Feb-2013 07:00:22.000,22,Good, 
RAMP,25-Feb-2013 07:00:23.000,23,Good, 
RAMP,25-Feb-2013 07:00:24.000,24,Good, 
RAMP,25-Feb-2013 07:00:25.000,25,Good, 
RAMP,25-Feb-2013 07:00:26.000,26,Good, 
RAMP,25-Feb-2013 07:00:27.000,27,Good, 
RAMP,25-Feb-2013 07:00:28.000,28,Good, 
RAMP,25-Feb-2013 07:00:29.000,29,Good, 
RAMP,25-Feb-2013 07:00:30.000,30,Good, 
RAMP,25-Feb-2013 07:00:31.000,31,Good, 
RAMP,25-Feb-2013 07:00:32.000,32,Good, 
RAMP,25-Feb-2013 07:00:33.000,33,Good, 
RAMP,25-Feb-2013 07:00:34.000,34,Good, 
RAMP,25-Feb-2013 07:00:35.000,35,Good, 
RAMP,25-Feb-2013 07:00:36.000,36,Good, 
RAMP,25-Feb-2013 07:00:37.000,37,Good, 
RAMP,25-Feb-2013 07:00:38.000,38,Good,
RAMP,25-Feb-2013 07:00:39.000,39,Good, 
RAMP,25-Feb-2013 07:00:40.000,40,Good, 
RAMP,25-Feb-2013 07:00:41.000,41,Good, 
RAMP,25-Feb-2013 07:00:42.000,42,Good, 
RAMP,25-Feb-2013 07:00:43.000,43,Good, 
RAMP,25-Feb-2013 07:00:44.000,44,Good, 
RAMP,25-Feb-2013 07:00:45.000,45,Good, 
RAMP,25-Feb-2013 07:00:46.000,46,Good, 
RAMP,25-Feb-2013 07:00:47.000,47,Good, 
RAMP,25-Feb-2013 07:00:48.000,48,Good, 
RAMP,25-Feb-2013 07:00:49.000,49,Good, 
RAMP,25-Feb-2013 07:00:50.000,50,Good, 
RAMP,25-Feb-2013 07:00:51.000,51,Good, 
RAMP,25-Feb-2013 07:00:52.000,52,Good, 
RAMP,25-Feb-2013 07:00:53.000,53,Good, 
RAMP,25-Feb-2013 07:00:54.000,54,Good, 
RAMP,25-Feb-2013 07:00:55.000,55,Good, 
RAMP,25-Feb-2013 07:00:56.000,56,Good, 
RAMP,25-Feb-2013 07:00:57.000,57,Good, 
RAMP,25-Feb-2013 07:00:58.000,58,Good, 
RAMP,25-Feb-2013 07:00:59.000,59,Good,

Determining the Time Range After the Condition Became TRUE

An example of a Query using RawByFilterToggle sampling mode is as follows:

starttime=’02/25/2013 07:00:00’, endtime=’02/25/2013 07:10:00’
select timestamp, value, quality from ihrawdata where tagname = RAMP and samplingmode= rawbyfiltertoggle 
and filterexpression=’(RAMP>50)’ and filtermode=AfterTime

This query set would determine when the ramp value exceeded 50 and returns the time range after that. The following results are obtained:


Timestamp	Value	Quality
02/25/201307:00:00	0	Good NonSpecific
02/25/201307:00:51	1	Good NonSpecific
02/25/201307:10:00	1	Good NonSpecific

You can see in the raw data that the condition became true at 7:00:51 so the sample is returned with a value of 1. The 0 and 1 are bounding values that would make the data easier to plot. You cannot simply count the number of 1s returned to count the number of times the condition became true. You have to exclude the bounding values

Example 2: Determining the Time Range Before the Condition Became TRUE

An example of a query using RawByFilterToggle sampling mode is as follows

set starttime=’02/25/2013 07:00:00’, endtime=’02/25/2013 08:00:00’
select timestamp, value, quality from ihrawdata where tagname = RAMP and samplingmode= rawbyfiltertoggle 
and filterexpression=’(RAMP>10)’ and filtermode=BeforeTime

The following results are obtained


Timestamp	Value	Quality
02/25/201307:00:00	0	Good NonSpecific
02/25/201307:00:10	1	Good NonSpecific
02/25/201307:00:59	0	Good NonSpecific
02/25/201308:00:00	0	Good NonSpecific

You can see in the raw data that the condition became true at 7:00:10 so the sample is returned with a value of 1.

Anticipated Usage

This sampling mode can be used for the same reasons as filtered data queries. That is, when you want the Historian Data Archiver to determine the exact time(s) of the event and you have an approximate time range for an event of interest, such as:

A batch starting or completing.
A value exceeding a limit.
A collected value matching a specified value.

Once you have the exact time range(s) as returned from RawByFilterToggle, you can use those time ranges in the subsequent data queries or in custom reporting or data analysis applications.