zivaSignalAnalysisExt

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)

Plot duration vs frequency

• Works on booleans or lambdas of other kinds such as numerics
• Must only have 2 states (forced by lambdas)
• Only works on a single ts and a single v0 column
• Side Effects: None
• Input: ts, v0 grid
• Output: Transmuted history grid of ts, v0 columns
• Filter used appears in col meta data
• read(cool).hisRead(2016-07).zivaFourier
• read(temp and discharge).hisRead(2016-07).zivaFourier(x => x > 70, "scatter")

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)

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)

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).zivaHisRawFilter(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).zivaHisRawFilterAuto