public override void Initialize(MeterDataSet meterDataSet)
{
List <DataGroup> dataGroups;
DataGroup dataGroup;
dataGroups = new List <DataGroup>();
foreach (IGrouping <Line, DataSeries> lineGroup in meterDataSet.DataSeries.Concat(meterDataSet.Digitals).GroupBy(GetLine))
{
foreach (IGrouping <DateTime, DataSeries> startTimeGroup in lineGroup.GroupBy(dataSeries => dataSeries.DataPoints[0].Time))
{
foreach (IGrouping <DateTime, DataSeries> endTimeGroup in startTimeGroup.GroupBy(dataSeries => dataSeries.DataPoints[dataSeries.DataPoints.Count - 1].Time))
{
foreach (IGrouping <int, DataSeries> sampleCountGroup in endTimeGroup.GroupBy(dataSeries => dataSeries.DataPoints.Count))
{
dataGroup = new DataGroup();
foreach (DataSeries dataSeries in sampleCountGroup)
{
dataGroup.Add(dataSeries);
}
dataGroups.Add(dataGroup);
}
}
}
}
m_dataGroups = dataGroups;
}
private byte[] Serialize(DataSeries series)
{
DataGroup group = new DataGroup();
group.Add(series);
return(group.ToData());
}
private FaultCurve CreateFaultCurve(AdoDataConnection connection, IGrouping <int, MappingNode> grouping)
{
VICycleDataGroup viCycleDataGroup = GetCycleData(connection, grouping.Key);
DataGroup faultCurveGroup = new DataGroup();
DataGroup faultCurveAngleGroup = new DataGroup();
faultCurveGroup.Add(viCycleDataGroup.VA.RMS.Multiply(double.NaN));
faultCurveAngleGroup.Add(faultCurveGroup[0].Copy());
foreach (MappingNode node in grouping)
{
for (int i = node.StartSample; node.DistanceCurve.HasData(i); i++)
{
faultCurveGroup[0][i].Value = node.DistanceCurve[i].Value;
faultCurveAngleGroup[0][i].Value = node.AngleCurve[i].Value;
}
}
return(new FaultCurve()
{
EventID = grouping.Key,
Algorithm = "DoubleEnded",
Data = faultCurveGroup.ToData()[0],
AngleData = faultCurveAngleGroup.ToData()[0]
});
}
private void CreateFaultCurveRow(IGrouping <int, MappingNode> grouping)
{
VICycleDataGroup viCycleDataGroup = GetCycleData(grouping.Key);
DataGroup faultCurveGroup = new DataGroup();
faultCurveGroup.Add(viCycleDataGroup.VA.RMS.Multiply(double.NaN));
faultCurveGroup.Add(faultCurveGroup[0].Copy());
foreach (MappingNode node in grouping)
{
for (int i = node.StartSample; node.DistanceCurve.HasData(i); i++)
{
faultCurveGroup[0][i].Value = node.DistanceCurve[i].Value;
faultCurveGroup[1][i].Value = node.AngleCurve[i].Value;
}
}
m_faultCurveTable.AddFaultCurveRow(grouping.Key, "DoubleEnded", faultCurveGroup.ToData());
}
public static DataGroup Combine(params DataGroup[] dataGroups)
{
DataGroup combination = new DataGroup();
foreach (DataGroup dataGroup in dataGroups)
{
foreach (DataSeries dataSeries in dataGroup.DataSeries)
combination.Add(dataSeries);
}
return combination;
}
private Dictionary <string, DataSeries> QueryEventData(AdoDataConnection connection, Meter meter, DateTime startTime, DateTime endTime)
{
Func <IEnumerable <DataSeries>, DataSeries> merge = grouping =>
{
DataSeries mergedSeries = DataSeries.Merge(grouping);
mergedSeries.SeriesInfo = grouping.First().SeriesInfo;
return(mergedSeries);
};
double systemFrequency = connection.ExecuteScalar <double?>("SELECT Value FROM Setting WHERE Name = 'SystemFrequency'") ?? 60.0D;
DataTable dataTable = connection.RetrieveData("SELECT ID FROM Event WHERE MeterID = {0} AND EndTime >= {1} AND StartTime <= {2})", meter.ID, ToDateTime2(connection, startTime), ToDateTime2(connection, endTime));
Dictionary <string, DataSeries> dict = new Dictionary <string, DataSeries>();
IEnumerable <DataGroup> dataGroups = dataTable
.Select()
.Select(row => row.ConvertField <int>("ID"))
.Select(id => ToDataGroup(meter, ChannelData.DataFromEvent(id, connection)))
.OrderBy(subGroup => subGroup.StartTime)
.ToList();
List <DataSeries> mergedSeriesList = dataGroups
.SelectMany(dataGroup => dataGroup.DataSeries)
.GroupBy(dataSeries => dataSeries.SeriesInfo.Channel.Name)
.Select(merge)
.ToList();
DataGroup mergedGroup = new DataGroup();
mergedSeriesList.ForEach(mergedSeries => mergedGroup.Add(mergedSeries));
foreach (DataSeries dataSeries in mergedGroup.DataSeries)
{
string key = dataSeries.SeriesInfo.Channel.Name;
dict.GetOrAdd(key, _ => dataSeries.ToSubSeries(startTime, endTime));
}
VICycleDataGroup viCycleDataGroup = Transform.ToVICycleDataGroup(new VIDataGroup(mergedGroup), systemFrequency);
foreach (CycleDataGroup cycleDataGroup in viCycleDataGroup.CycleDataGroups)
{
DataGroup dg = cycleDataGroup.ToDataGroup();
string key = dg.DataSeries.First().SeriesInfo.Channel.Name;
dict.GetOrAdd(key + " RMS", _ => cycleDataGroup.RMS.ToSubSeries(startTime, endTime));
dict.GetOrAdd(key + " Angle", _ => cycleDataGroup.Phase.ToSubSeries(startTime, endTime));
}
return(dict);
}
private static DataGroup GetFaultLocationData(Meter meter, FaultLocationData.FaultCurveDataTable faultCurveTable)
{
DataGroup faultLocationData = new DataGroup();
DataGroup parsedGroup = new DataGroup();
foreach (FaultLocationData.FaultCurveRow faultCurveRow in faultCurveTable)
{
parsedGroup.FromData(meter, faultCurveRow.Data);
foreach (DataSeries series in parsedGroup.DataSeries)
{
faultLocationData.Add(series);
}
}
return(faultLocationData);
}
public override void Initialize(MeterDataSet meterDataSet)
{
List <DataGroup> dataGroups = new List <DataGroup>();
foreach (IGrouping <Line, DataSeries> lineGroup in meterDataSet.DataSeries.Concat(meterDataSet.Digitals).GroupBy(GetLine))
{
foreach (IGrouping <DateTime, DataSeries> startTimeGroup in lineGroup.GroupBy(dataSeries => dataSeries.DataPoints[0].Time))
{
foreach (IGrouping <DateTime, DataSeries> endTimeGroup in startTimeGroup.GroupBy(dataSeries => dataSeries.DataPoints[dataSeries.DataPoints.Count - 1].Time))
{
foreach (IGrouping <int, DataSeries> sampleCountGroup in endTimeGroup.GroupBy(dataSeries => dataSeries.DataPoints.Count))
{
DataGroup dataGroup = new DataGroup();
foreach (DataSeries dataSeries in sampleCountGroup)
{
dataGroup.Add(dataSeries);
}
dataGroups.Add(dataGroup);
}
}
}
}
if (meterDataSet.Meter.MeterLines.Count == 1)
{
foreach (ReportedDisturbance disturbance in meterDataSet.ReportedDisturbances.OrderBy(dist => dist.Time))
{
DataGroup dataGroup = dataGroups.FirstOrDefault(dg => dg.Add(disturbance));
if ((object)dataGroup == null)
{
dataGroup = new DataGroup();
dataGroup.Add(disturbance);
dataGroups.Add(dataGroup);
}
}
}
m_dataGroups = dataGroups;
}
public static CycleDataGroup ToCycleDataGroup(DataSeries dataSeries, double frequency)
{
DataGroup dataGroup = new DataGroup();
DataSeries rmsSeries = new DataSeries();
DataSeries phaseSeries = new DataSeries();
DataSeries peakSeries = new DataSeries();
DataSeries errorSeries = new DataSeries();
int samplesPerCycle;
double[] yValues;
double[] tValues;
double sum;
DateTime cycleTime;
SineWave sineFit;
if ((object)dataSeries == null)
return null;
// Set series info to the source series info
rmsSeries.SeriesInfo = dataSeries.SeriesInfo;
phaseSeries.SeriesInfo = dataSeries.SeriesInfo;
peakSeries.SeriesInfo = dataSeries.SeriesInfo;
errorSeries.SeriesInfo = dataSeries.SeriesInfo;
// Get samples per cycle of the data series based on the given frequency
samplesPerCycle = CalculateSamplesPerCycle(dataSeries, frequency);
// Initialize arrays of y-values and t-values for calculating cycle data
yValues = new double[samplesPerCycle];
tValues = new double[samplesPerCycle];
// Obtain a list of time gaps in the data series
List<int> gapIndexes = Enumerable.Range(0, dataSeries.DataPoints.Count - 1)
.Where(index =>
{
DataPoint p1 = dataSeries[index];
DataPoint p2 = dataSeries[index + 1];
double cycleDiff = (p2.Time - p1.Time).TotalSeconds * frequency;
return (cycleDiff >= 0.25);
})
.ToList();
for (int i = 0; i <= dataSeries.DataPoints.Count - samplesPerCycle; i++)
{
// If the cycle following i contains a data gap, do not calculate cycle data
if (gapIndexes.Any(index => i <= index && (i + samplesPerCycle - 1) > index))
continue;
// Use the time of the first data point in the cycle as the time of the cycle
cycleTime = dataSeries.DataPoints[i].Time;
sum = 0.0D;
// Copy values from the original data series into the y-value and t-value arrays
for (int j = 0; j < samplesPerCycle; j++)
{
yValues[j] = dataSeries.DataPoints[i + j].Value;
tValues[j] = (dataSeries.DataPoints[i + j].Time - cycleTime).TotalSeconds;
sum += yValues[j] * yValues[j];
}
// Use a curve fitting algorithm to estimate the sine wave over this cycle
sineFit = WaveFit.SineFit(yValues, tValues, frequency);
// Add data points to each of the cycle data series
rmsSeries.DataPoints.Add(new DataPoint()
{
Time = cycleTime,
Value = Math.Sqrt(sum / samplesPerCycle)
});
phaseSeries.DataPoints.Add(new DataPoint()
{
Time = cycleTime,
Value = sineFit.Phase
});
peakSeries.DataPoints.Add(new DataPoint()
{
Time = cycleTime,
Value = sineFit.Amplitude
});
errorSeries.DataPoints.Add(new DataPoint()
{
Time = cycleTime,
Value = tValues
.Select(sineFit.CalculateY)
.Zip(yValues, (estimate, value) => Math.Abs(estimate - value))
.Sum()
});
}
// Add a series to the data group for each series of cycle data
dataGroup.Add(rmsSeries);
dataGroup.Add(phaseSeries);
dataGroup.Add(peakSeries);
dataGroup.Add(errorSeries);
return new CycleDataGroup(dataGroup);
}
/// <summary>
/// Transforms the group.
/// </summary>
/// <param name="inputGroup">The input group.</param>
/// <returns>Two result groups as result of one transformation step.</returns>
private DataGroup[] TransformGroup(DataGroup inputGroup)
{
var addGroup = new DataGroup("+");
for (int i = 0; i < inputGroup.Count; i += 2)
{
var val = (inputGroup[i] + inputGroup[i + 1]) / Math.Sqrt(2.0);
var roundedVal = Math.Round(val, 3);
addGroup.Add(roundedVal);
}
var subGroup = new DataGroup("-");
for (int i = 0; i < inputGroup.Count; i += 2)
{
var val = (inputGroup[i] - inputGroup[i + 1]) / Math.Sqrt(2.0);
var roundedVal = Math.Round(val, 3);
subGroup.Add(roundedVal);
}
return new[] { addGroup, subGroup };
}
public override void Initialize(MeterDataSet meterDataSet)
{
List <DataGroup> dataGroups = new List <DataGroup>();
foreach (IGrouping <DateTime, DataSeries> startTimeGroup in meterDataSet.DataSeries.Concat(meterDataSet.Digitals).GroupBy(dataSeries => dataSeries.DataPoints[0].Time))
{
foreach (IGrouping <DateTime, DataSeries> endTimeGroup in startTimeGroup.GroupBy(dataSeries => dataSeries.DataPoints[dataSeries.DataPoints.Count - 1].Time))
{
foreach (IGrouping <int, DataSeries> sampleCountGroup in endTimeGroup.GroupBy(dataSeries => dataSeries.DataPoints.Count))
{
List <int> completedAsset = new List <int>();
foreach (IGrouping <Asset, DataSeries> assetGroup in sampleCountGroup.GroupBy(GetAsset))
{
completedAsset.Add(assetGroup.Key.ID);
DataGroup dataGroup = new DataGroup();
foreach (DataSeries dataSeries in assetGroup)
{
dataGroup.Add(dataSeries);
}
foreach (DataSeries dataSeries in GetConnectedSeries(sampleCountGroup, assetGroup.Key))
{
dataGroup.Add(dataSeries);
}
dataGroups.Add(dataGroup);
}
//Add Any Datagroups for Assets that have no directly connected Assets
foreach (Asset asset in meterDataSet.Meter.MeterAssets.Select(item => item.Asset))
{
if (completedAsset.Contains(asset.ID))
{
continue;
}
DataGroup dataGroup = new DataGroup(asset);
foreach (DataSeries dataSeries in GetConnectedSeries(sampleCountGroup, asset))
{
dataGroup.Add(dataSeries);
}
dataGroups.Add(dataGroup);
}
}
}
}
if (meterDataSet.Meter.MeterAssets.Count == 1)
{
foreach (ReportedDisturbance disturbance in meterDataSet.ReportedDisturbances.OrderBy(dist => dist.Time))
{
DataGroup dataGroup = dataGroups.FirstOrDefault(dg => dg.Add(disturbance));
if ((object)dataGroup == null)
{
dataGroup = new DataGroup();
dataGroup.Add(disturbance);
dataGroups.Add(dataGroup);
}
}
}
m_dataGroups = dataGroups;
}
private static DataGroup GetFaultLocationData(Meter meter, FaultLocationData.FaultCurveDataTable faultCurveTable)
{
DataGroup faultLocationData = new DataGroup();
DataGroup parsedGroup = new DataGroup();
foreach (FaultLocationData.FaultCurveRow faultCurveRow in faultCurveTable)
{
parsedGroup.FromData(meter, faultCurveRow.Data);
foreach (DataSeries series in parsedGroup.DataSeries)
faultLocationData.Add(series);
}
return faultLocationData;
}