我正在使用文件观察器监视文件输出，然后使用 d3（动态数据显示）动态显示结果。这里有更多细节：
- 数据是一系列快速生成的 tiff 文件（每个文件生成 20-25 毫秒）；
- 一旦有文件进来，就会触发事件，并处理文件（一些统计计算）；
- 结果将被发送到 d3 绘图仪，该绘图仪将在宪章上动态显示结果。
当我关闭 d3 包机窗口时，文件观察程序捕获几乎所有事件，但这是我的问题：
- 但是，当我打开 d3 宪章窗口时，即使没有任何统计数据计算，文件观察程序也会丢弃许多事件（发生一些大差距）。
这是我们尝试过的：
- 增加观察者缓冲区，但是，只要 d3 宪章窗口打开，它仍然会丢弃事件。
- 使用 C++ dll 计算统计数据，但它看起来更慢。
所以我想知道：
- d3 绘图仪和文件观察器是否相互冲突/干扰？
- 我可以将它们一起用于实时绘图吗？
- 有没有办法解决我的问题？
任何指针表示赞赏。
这是d3绘图仪的代码，包括构造函数、绘图仪启动器和绘图仪更新：
#region Constructor
public SignalStatsDisplay()
{
InitializeComponent();
// timeDomainPlotter.Legend.Remove();
_initialChildrenCount = timeDomainPlotter.Children.Count;
int count = timeDomainPlotter.Children.Count;
//do not remove the initial children
if (count > _initialChildrenCount)
{
for (int i = count - 1; i >= _initialChildrenCount; i--)
{
timeDomainPlotter.Children.RemoveAt(i);
}
}
_nMaxStatsOneChannel = Enum.GetNames(typeof(Window1.ROISignalList)).Length;
_curveBrush = new Brush[_nMaxStatsOneChannel];
_statsEnable = new int[_nMaxStatsOneChannel];
for (int i = 0; i < _nMaxStatsOneChannel; i++)
{
_curveBrush[i] = new SolidColorBrush((Color)ColorConverter.ConvertFromString(_colorList[i]));
_statsEnable[i] = 0;
}
_nActiveStatsOneChannel = 0;
}
#endregion Constructor
public void InitiateSignalAnalysisPlot()
{
_statsName = Enum.GetNames(typeof(Window1.ROISignalList));
int count = 0;
_statsEnableIndex = new int[_nActiveStatsOneChannel];
for (int i = 0; i < _nMaxStatsOneChannel; i++) // assign color
{
if (_statsEnable[i] == 1)
{
_statsEnableIndex[count] = i;
count++;
}
}
if (_nActiveChannel > 0) // timeDomainPlotter init
{
_dataX = new List<double[]>();
_dataY = new List<double[]>();
double[] dataXOneCh = new double[_signalLength];
double[] dataYOneCh = new double[_signalLength];
dataXOneCh[0] = 0;
dataYOneCh[0] = 0;
for (int i = 0; i < _nActiveChannel; i++)
{
for (int j = 0; j < _nActiveStatsOneChannel; j++)
{
_dataX.Add(dataXOneCh); // data x-y mapping init
_dataY.Add(dataYOneCh);
EnumerableDataSource<double> xOneCh = new EnumerableDataSource<double>(dataXOneCh);
EnumerableDataSource<double> yOneCh = new EnumerableDataSource<double>(dataYOneCh);
xOneCh.SetXMapping(xVal => xVal);
yOneCh.SetXMapping(yVal => yVal);
CompositeDataSource dsOneCh = new CompositeDataSource(xOneCh, yOneCh);
LineAndMarker<MarkerPointsGraph> lam = timeDomainPlotter.AddLineGraph(dsOneCh,
new Pen(_curveBrush[_statsEnableIndex[j]], 2),
new CirclePointMarker { Size = 5, Fill = _curveBrush[_statsEnableIndex[j]] },
new PenDescription(_statsName[_statsEnableIndex[j]]));
}
}
Action FitToView = delegate()
{
timeDomainPlotter.FitToView();
};
this.Dispatcher.Invoke(System.Windows.Threading.DispatcherPriority.Normal, FitToView);
}
else
{
return;
}
}
public void RedrawSignalAnalysisPlot()
{
int startIndex = _initialChildrenCount;
if ((_nActiveStatsOneChannel > 0) && (_dataX != null) && (_dataY != null))
{
CompositeDataSource[] dsCh = new CompositeDataSource[_nActiveStatsOneChannel];
int m, n;
int index;
for (int i = 0; i < _nActiveChannel; i++)
{
for (int j = 0; j < _nActiveStatsOneChannel; j++)
{
index = i * _nActiveStatsOneChannel + j;
if (_dataX[index].Length == _dataY[index].Length)
{
EnumerableDataSource<double> xOneCh = new EnumerableDataSource<double>(_dataX[index]);
xOneCh.SetXMapping(xVal => xVal);
EnumerableDataSource<double> yOneCh = new EnumerableDataSource<double>(_dataY[index]);
yOneCh.SetYMapping(yVal => yVal);
CompositeDataSource ds = new CompositeDataSource(xOneCh, yOneCh);
Action UpdateData = delegate()
{
m = i * 2;
n = j * 2;
// ((LineGraph)timeDomainPlotter.Children.ElementAt(startIndex + n + m * _nActiveStatsOneChannel)).DataSource = ds;
// ((LineGraph)timeDomainPlotter.Children.ElementAt(startIndex + n + m * _nActiveStatsOneChannel)).LinePen
// = new Pen(new SolidColorBrush(_curveBrush[j]), 1);
((MarkerPointsGraph)timeDomainPlotter.Children.ElementAt(startIndex + n + 1 + m * _nActiveStatsOneChannel)).DataSource = ds;
// ((MarkerPointsGraph)timeDomainPlotter.Children.ElementAt(startIndex + n + 1 + m * _nActiveStatsOneChannel)).Marker
// = new CirclePointMarker { Size = 5, Fill = Brushes.Green };
};
this.Dispatcher.Invoke(System.Windows.Threading.DispatcherPriority.Normal, UpdateData);
}
}
}
/* Action PlotFitToView = delegate()
{
timeDomainPlotter.FitToView();
};
this.Dispatcher.Invoke(System.Windows.Threading.DispatcherPriority.Normal, PlotFitToView);*/
}
}
以下是文件的监控方式： 事件（文件写入）的归档位置
void tiffWatcher_EventChanged(object sender, WatcherExEventArgs e)
{
string fileName = ((FileSystemEventArgs)(e.Arguments)).FullPath;
string fileExt = StringExtension.GetLast(fileName, 4);
if (!IsFileLocked(fileName))
{
Action EventFinished = delegate()
{
CreateListViewItem(fileName, "Finished", DateTime.Now.ToString("HH:mm:ss.fff"));
};
listView1.Dispatcher.Invoke(System.Windows.Threading.DispatcherPriority.Normal, EventFinished);
_tiffName.Add( fileName);
_tiffFilledCount++;
}
}
tiff 数据处理，以及与 d3 绘图仪的数据通信：
void tiffTimer_Tick(object sender, EventArgs e)
{
//throw new NotImplementedException();
byte[] image = new byte[_signalManager.ImgWidth * _signalManager.ImgHeight];
if (_tiffFilledCount - _tiffProcessedCount >= 1)
{
string fileName = _tiffName[_tiffProcessedCount++];
char filePre = fileName[49];
int indexBeigin = fileName.LastIndexOf("_");
int indexEnd = fileName.LastIndexOf(".");
_signalIndex = Convert.ToInt32(fileName.Substring(indexBeigin + 1, indexEnd - indexBeigin - 1)) - 1; // 0 based//
_deltaT = ExtractTiffDeltaT(fileName, "DeltaT=", 1);
_channelIndex = (int)Enum.Parse(typeof(ChannelList), Convert.ToString(filePre));
TIFFIImageIO.LoadTIFF(fileName, ref image);
_signalManager.Image = image;
for (int i = 0; i < _nActiveStatsOneChannel; i++)
{
_signalManager.GetSignal( _signalDisplay.StatsEnableIndex[i], ref _signal);
UpdateSignal(_channelIndex, i, _tiffProcessedCount-1, _deltaT, _signal);
}
// if( _tiffProcessedCount % 5 == 0)
_signalDisplay.SetData(_XList, _YList, true);
}
}
我使用 Timer.Tick 每 50-100 毫秒处理一次文件，仍在测试。