private void SearchThread()
{
try
{
Lines = new List <SpectrFunctions.LineInfo>();
Calibrations = new List <Calibrator>();
panel1.Enabled = false;
btnStop.Enabled = true;
MethodSimpleElementFormula msef = Method.GetElHeader(Element).Formula[Formula];
msef.Formula.Founds.Clear();
msef.Formula.Pairs.Clear();
Cons = DataExtractor.getData(Method, Element, Formula);
if (Th != null && Cons != null)
{
Log("Загруженно " + Cons.Count + " прожигов.");
int sn_count = Cons[0].DataMinusNull.Length;
for (int sn = 0; sn < sn_count && Th != null; sn++)
{
SpectrFunctions.LineInfo candidat = new SpectrFunctions.LineInfo(sn, Cons);
Dispers disp = Cons[0].Disp;
int l = Cons[0].DataMinusNull[sn].Length;
for (int p = 10; p < l - 10 && Th != null; p++)
{
double ly = disp.GetLyByLocalPixel(sn, p);
bool found = false;
double real_ly = 0;
for (int sp = 0; sp < Cons.Count && Th != null; sp++)
{
try
{
int pixel = (int)Cons[sp].Disp.GetLocalPixelByLy(sn, ly);
candidat.Values[sp] = SpectrFunctions.CheckLine(ref pixel, Cons[sp].DataMinusNull[sn],
(int)numSearchMax.Value, (int)numMaxValue.Value, (int)numMinWidth.Value, (int)numMinValue.Value,
ref candidat.Profile[sp]);
if (candidat.Values[sp] <= 0)
{
found = false;
break;
}
else
{
real_ly += Cons[sp].Disp.GetLyByLocalPixel(sn, pixel);
found = true;
}
candidat.DLy = Math.Abs(Cons[sp].Disp.GetLyByLocalPixel(sn, pixel + 1) - Cons[sp].Disp.GetLyByLocalPixel(sn, pixel));
}
catch (Exception ex)
{
found = false;
}
}
if (found == true)
{
candidat.Ly = (float)(real_ly / Cons.Count);
Lines.Add(candidat);
candidat = new SpectrFunctions.LineInfo(sn, Cons);
p += (int)numSearchMax.Value;
}
}
}
Log("Найдено " + Lines.Count + " линий.");
int analitic_count = 0;
//int element = Method.GetElHeader(Element).Element.Num-1;
String element_name = Method.GetElHeader(Element).Element.Name;
for (int l = 0; l < Lines.Count; l++)
{
if (chbAllLinesAnalize.Checked == false)
{
double ly = Lines[l].Ly;
for (int i = 0; i < Common.LDb.Data.Count; i++)
{
String name = Common.LDb.Data[i].ElementName;
if (name.Equals(element_name) && Math.Abs(Common.LDb.Data[i].Ly - ly) < Lines[l].DLy * 3)
{
Lines[l].HasLine = true;
analitic_count++;
break;
}
}
}
else
{
Lines[l].HasLine = true;
}
}
Log("Из них " + analitic_count + " могут быть аналитическими.");
cboxLyList.Items.Clear();
for (int i = 0; i < Lines.Count; i++)
{
String str = "" + Lines[i].Ly + ":" + Lines[i].Sn;
if (Lines[i].HasLine)
{
str += " A";
}
cboxLyList.Items.Add(str);
}
long out_time = DateTime.Now.Ticks;
for (int l1 = 0; l1 < Lines.Count && Th != null; l1++)
{
if (Lines[l1].HasLine == false)
{
continue;
}
for (int l2 = 0; l2 < Lines.Count && Th != null; l2++)
{
if (l1 == l2 || chbAtTheSameSensor.Checked && Lines[l1].Sn != Lines[l2].Sn)
{
continue;
}
Calibrator cal = new Calibrator(Lines[l1], Lines[l2], Cons);
cal.ReCalc();
for (int i = 0; i < Calibrations.Count; i++)
{
if (cal.SKO < Calibrations[i].SKO)
{
Calibrations.Insert(i, cal);
cal = null;
break;
}
}
if (cal != null)
{
Calibrations.Add(cal);
}
while (Calibrations.Count > 1000)
{
Calibrations.RemoveAt(Calibrations.Count - 1);
}
if (DateTime.Now.Ticks - out_time > 10000000)
{
LogTmp("Найлучшее СКО: " + Calibrations[0].SKO + "%.");
out_time = DateTime.Now.Ticks;
}
}
}
if (Calibrations.Count > 0)
{
Log("Найлучшее СКО: " + Calibrations[0].SKO + "%.");
}
else
{
Log("Не найдено отношений...");
}
}
else
{
Log("Не найдено данных по прожигам...");
}
InitList();
chbViewFilter.Items.Clear();
chbViewFilter.Items.Add("");
for (int i = 0; i < Calibrations.Count; i++)
{
bool already_in_list = false;
String ly = Calibrations[i].Ly1.ToString();
for (int j = 0; j < chbViewFilter.Items.Count; j++)
{
if (chbViewFilter.Items[j].Equals(ly))
{
already_in_list = true;
break;
}
}
if (already_in_list == false)
{
chbViewFilter.Items.Add(ly);
}
}
}
catch (Exception ex)
{
Common.Log(ex);
}
btnStop.Enabled = false;
panel1.Enabled = true;
}
