zivaSignalAnalysisExt 1.5.0 - Allows you to filter out noise, only show noise, or plot duration vs frequency of events in history grids.

zivaSignalAnalysisExt

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v1.5.0

Overview

Welcome to SkySpark's Signal Analysis Extension!

Plot duration vs frequency

Plot duration bucket vs frequency

Percentage and Duration thresholds determined manually or automatically
Supports a true History Grid with multiple V columns
Side Effects: Data interpolated, multiple histories that do not start and/or end around same time will result in leading and trailing 0s
leading and trailing 0s and length of entire window will affect results in auto mode
Input: ts, val*n grid where val*n can be multiple V columns with only numbers
Output: Transmuted history grid of ts, V*n columns
delta and dur used appear in column meta data
read(temp and discharge).hisRead(yesterday).zivaHisDurPlot
read(temp and discharge).hisRead(yesterday).zivaHisDurPlot(50%, 16min, "bar")
readAll(temp and discharge).hisRead(yesterday).zivaHisDurPlot
readAll(temp and discharge).hisRead(yesterday).zivaHisDurPlot(50%, 16min)

Remove low duration events

Percentage and Duration thresholds determined manually or automatically
Supports a true History Grid with multiple V columns
Side Effects: Data interpolated, multiple histories that do not start and/or end around same time will result in leading and trailing 0s
leading and trailing 0s and length of entire window will affect results in auto mode
Input: ts, val*n grid where val*n can be multiple V columns with only numbers
Output: Transmuted history grid of ts, V*n columns
delta and dur used appear in column meta data
read(temp and discharge).hisRead(yesterday).zivaHisNoiseFilter
read(temp and discharge).hisRead(yesterday).zivaHisNoiseFilter(50%, 16min)
readAll(temp and discharge).hisRead(yesterday).zivaHisNoiseFilter
readAll(temp and discharge).hisRead(yesterday).zivaHisNoiseFilter(50%, 16min)

Remove high duration events

Percentage and Duration thresholds determined manually or automatically
Supports a true History Grid with multiple V columns
Side Effects: Data interpolated, multiple histories that do not start and/or end around same time will result in leading and trailing 0s
leading and trailing 0s and length of entire window will affect results in auto mode
Input: ts, val*n grid where val*n can be multiple V columns with only numbers
Output: Transmuted history grid of ts, V*n columns
delta and dur used appear in column meta data
read(temp and discharge).hisRead(yesterday).zivaHisShowNoise
read(temp and discharge).hisRead(yesterday).zivaHisShowNoise(50%, 16min)
readAll(temp and discharge).hisRead(yesterday).zivaHisShowNoise
readAll(temp and discharge).hisRead(yesterday).zivaHisShowNoise(50%, 16min)

Plot multiple Fourier grids together

All input grids must come from zivaFourier()
Works on booleans or lambdas of other kinds such as numerics
Side Effects: None
Input: Multiple Fourier grids
Output: Multiple v columns
zivaMultiFourier([read(temp and discharge).hisRead(2010-01).zivaFourier(x=>x<60),read(temp and discharge).hisRead(2010-01).zivaFourier(x=>x>80)])

Plot bins vs frequency

Also shows average and total duration in designated bin
Works on booleans, numbers, and strings
Only works on a single ts and a single v0 column
Set 4th parameter (raw) to false to see percentages instead of counts
Side Effects: None
Input: ts, v0 grid
Output: Transmuted history grid of ts, v0 columns
Bins used appears in col meta data
read(cool).hisRead(2016-07).zivaNumbDist
read(temp and discharge).hisRead(2016-07).zivaNumbDist
read(temp and discharge).hisRead(2016-07).zivaNumbDist(20, "scatter")
read(temp and discharge).hisRead(2010-01).zivaNumbDist(10, "bar", false) // 10 groups
read(temp and discharge).hisRead(2010-01).zivaNumbDist(10, "bar", false, true, true) // groups of x have interval 10 and start at whole number

Show duration buckets (manual)

Percentage and Duration thresholds determined manually
Debug function called by zivaHisNoiseFilter(), zivaHisShowNoise(), and zivaHisDurPlot()
Supports only history grids with a ts, v0 column
Side Effects: None
Input: ts, v0 grid where v0 can only be numbers
Output: Transmuted history grid of ts, v0, v1 = % change, v2 = group start, v3 = group end, v4 = group duration
delta used appears in column meta data
read(temp and discharge).hisRead(yesterday).zivaRawFilter(50%)

Show duration buckets (auto)

Percentage and Duration thresholds determined automatically
Debug function called by zivaHisNoiseFilter(), zivaHisShowNoise(), and zivaHisDurPlot()
Supports only history grids with a ts, v0 column
Side Effects: None
Input: ts, v0 grid where v0 can only be numbers
Output: Transmuted history grid of ts, v0, v1 = % change, v2 = group start, v3 = group end, v4 = group duration
delta used and dur to be used appear in column meta data
read(temp and discharge).hisRead(yesterday).zivaRawFilterAuto

Compare Temperature Differential to SiteMeter's Energy

Requires zone air temp sensor point on equip, weather temp, and siteMeter needs energy point
Side Effects: None
Input: equip (usually ahu) with zone air temp sensor and dates
Output: kWh / deltaTemp hisGrid
read(ahu).zivaEnergyInOut(pastMonth)

Find One or More Modes for Dataset

The interval parameter determines what range constitutes the same number
Only works on a single ts and a single v0 column
Side Effects: None
Input: ts, v0 grid and the interval used for the groups (ie 1 treats 1.50 to 2.49 as 2 and so on)
Output: List of dicts as string which can include multiple modes (if two or more numbers appear the same number of times)
read(temp and discharge).hisRead(pastMonth).zivaMode
read(cool).hisRead(pastMonth).zivaMode
read(power).hisRead(pastMonth).zivaMode(2)

Please contact adam@ziva-tech.com with any questions.