Spectr Measuring(int sp_num, float common)
{
Common.Dev.CheckConnection();
SpectrCondition cond = new SpectrCondition(Common.Dev.Tick,
SpectrCondition.GetDefaultCondition(false, false, (float)nmExpFrom.Value, (float)nmExpTo.Value, (float)(nmExpFrom.Value + nmExpTo.Value) * 9, 10));
Common.Dev.Measuring(cond, null);
Dispers disp = new Dispers();
OpticFk fk = new OpticFk();
Spectr sp = new Spectr(cond, disp, fk, "SensTest");
for (int i = 0; i < Common.Dev.LetestResult.Count; i++)
{
sp.Add(Common.Dev.LetestResult[i]);
}
Sp[sp_num] = sp;
string file_name = GetSpectrName(sp_num);
Sp[sp_num].SaveAs(file_name);
Common.Log(Common.MLS.Get(MLSConst, "Done..."));
return(sp);
}
public MethodData(double con, bool en, int prob_index, int sub_prob_index, int frame_index,
SpectrDataView data_view_sig, SpectrDataView data_view_nul,
Dispers disp)
{
Con = con;
Disp = disp;
En = en;
ProbIndex = prob_index;
SubProbIndex = sub_prob_index;
FrameIndex = frame_index;
DataViewSig = data_view_sig;
DataViewNull = data_view_nul;
float[][] nul = DataViewNull.GetFullDataNoClone();
float[][] sig = DataViewSig.GetFullDataNoClone();
DataMinusNull = new float[nul.Length][];
for (int s = 0; s < nul.Length; s++)
{
int len = nul[s].Length;
DataMinusNull[s] = new float[len];
for (int i = 0; i < len; i++)
{
DataMinusNull[s][i] = sig[s][i] - nul[s][i];
}
}
}
public Data(Spectr sp, float con, double ly, bool from_next)
{
Sp = sp;
Con = con;
Dispers disp = sp.GetCommonDispers();
List <int> snl = disp.FindSensors(ly);
int sn;
if (from_next)
{
sn = snl[1];
}
else
{
sn = snl[0];
}
int pixel = (int)disp.GetLocalPixelByLy(sn, ly);
int[] sh_indexes = sp.GetShotIndexes();
Analit = new double[sh_indexes.Length];
Comp = new double[sh_indexes.Length];
List <SpectrDataView> views = sp.GetViewsSet();
for (int i = 0; i < Analit.Length; i++)
{
float[] sig = views[sh_indexes[i]].GetSensorData(sn);
float[] nul = sp.GetNullFor(sh_indexes[i]).GetSensorData(sn);
float[] sig_nul = new float[sig.Length];
for (int j = 0; j < sig.Length; j++)
{
sig_nul[j] = sig[j] - nul[j];
}
Analit[i] = CalcAnalit(sig_nul, pixel);
}
}
bool GetSnNum(List <GLogRecord> log, string log_section,
Dispers disp, float max_val,
out int sn)
{
//Dispers disp = sp.GetDispersRO();
List <int> snr = disp.FindSensors((double)nmLy.Value);
if (cbFromSnNum.SelectedIndex != 0)
{
if (snr.Count < 2)
{
log.Add(new GLogMsg(log_section, Common.MLS.Get(MLSConst, "Предупреждение: Длина волны не на пересечении сенсоров. Ly:") + nmLy.Value, Color.Red));
sn = snr[0];
return(true);
}
sn = snr[1];
}
else
{
if (snr != null && snr.Count > 0)
{
sn = snr[0];
}
else
{
sn = -1;
return(false);
}
}
return(true);
}
private void btSaveAll_Click(object sender, EventArgs e)
{
try
{
string[] list = Directory.GetFiles(DirToSave, tbFilePrefix.Text + "*.*");
if (list != null && list.Length != 0)
{
DialogResult dr = MessageBox.Show(MainForm.MForm, "Существуют файлы с такой маской. Продолжать?", "Возможный конфликт",
MessageBoxButtons.YesNo, MessageBoxIcon.Hand);
if (dr != DialogResult.Yes)
{
return;
}
}
//for (int i = 0; i < ToSave.Count; i++)
// ToSave[i].SaveToFile(DirToSave + "\\" + tbFilePrefix.Text, (ViewElementTypes)cbType.SelectedIndex);
Dispers disp = Sp.GetCommonDispers();
SaveFile(DirToSave + "\\" + tbFilePrefix.Text + " спектр для отображения.csv", disp, Sp.OFk, Sp.GetDefultView(), null);
//SaveFile(DirToSave + "\\" + tbFilePrefix.Text + " спектр для отображения.csv", disp, Sp.GetDefultView(), null);
int[] indexes = Sp.GetShotIndexes();
List <SpectrDataView> vs = Sp.GetViewsSet();
for (int i = 0; i < indexes.Length; i++)
{
SpectrDataView nul = Sp.GetNullFor(indexes[i]);
SpectrDataView sig = vs[indexes[i]];
SaveFile(DirToSave + "\\" + tbFilePrefix.Text + " экспозиция " + (i + 1) + ".csv", disp, Sp.OFk, sig, nul);
}
}
catch (Exception ex)
{
Common.Log(ex);
}
}
double CheckLine(int sn, double ly, float[][] data, Dispers disp, int plus_minus, out double ly_real, out float[] data_cur)
{
int pixel = (int)disp.GetLocalPixelByLy(sn, ly);
for (int i = 0; i < plus_minus && i < data[sn].Length - 2 &&
(data[sn][pixel] + data[sn][pixel + 1] + data[sn][pixel - 1]) <
(data[sn][pixel] + data[sn][pixel + 1] + data[sn][pixel + 2]);
i++, pixel++)
{
;
}
for (int i = 0; i < plus_minus && i > 2 &&
(data[sn][pixel] + data[sn][pixel + 1] + data[sn][pixel - 1]) <
(data[sn][pixel - 2] + data[sn][pixel - 1] + data[sn][pixel]);
i++, pixel--)
{
;
}
double left_v = data[sn][pixel - 3] + data[sn][pixel - 2] + data[sn][pixel - 1],
midl_v = data[sn][pixel - 1] + data[sn][pixel] + data[sn][pixel + 1],
right_v = data[sn][pixel + 1] + data[sn][pixel + 2] + data[sn][pixel + 3];
if (left_v < midl_v && midl_v > right_v)
{
int left = 1;
for (; left < plus_minus && (pixel - 2 - left) > 0 &&
(data[sn][pixel - left] + data[sn][pixel + 1 - left] + data[sn][pixel - 1 - left]) >
(data[sn][pixel - left] + data[sn][pixel - 1 - left] + data[sn][pixel - 2 - left]); left++)
{
;
}
int right = 1;
for (; right < plus_minus && (pixel + 2 + right) < data[sn].Length &&
(data[sn][pixel + right] + data[sn][pixel + 1 + right] + data[sn][pixel - 1 + right]) >
(data[sn][pixel + right] + data[sn][pixel + 1 + right] + data[sn][pixel + 2 + right]); right++)
{
;
}
if (left > 2 && right > 2 && left + right >= numMinWidth.Value)
{
ly_real = disp.GetLyByLocalPixel(sn, pixel);
data_cur = new float[5];
for (int i = 0; i < 5; i++)
{
data_cur[i] = data[sn][pixel - 2 + i];
}
return(midl_v);//return disp.GetLyByLocalPixel(sn,pixel);
}
}
ly_real = -1;
data_cur = null;
return(0);
}
public ProbInfo(
int prob, int sub_prob, int frame,
double ever, double value,
float[][] data, Dispers disp)
{
ProbNum = prob;
SubProbNum = sub_prob;
Frame = frame;
EverAnalit = ever;
Analit = value;
Data = data;
Disp = disp;
}
void Init(float[] val, string description, string fsufix, Dispers disp, int sn)
{
float[] noise = new float[val.Length - 1];
ValueLevel = 0;
int l = 0;
for (int i = 0; i < val.Length - 1; i++)
{
noise[i] = val[i] - val[i + 1];
if (noise[i] > -1000000 && noise[i] < 1000000)
{
ValueLevel += val[i];
l++;
}
}
ValueLevel /= val.Length;
NoiseEver = 0;
NoiseSKO = 0;
l = 0;
for (int i = 0; i < noise.Length; i++)
{
if (noise[i] > -100000 && noise[i] < 100000)
{
NoiseEver += Math.Abs(noise[i]);
NoiseSKO += noise[i] * noise[i];
l++;
}
}
NoiseEver /= l;
NoiseSKO = Math.Sqrt(NoiseSKO) / (l - 1);
Disp = disp;
Sn = sn;
Dt = val;
Desc = description;
FileSufix = "";//fsufix;
for (int i = 0; i < fsufix.Length; i++)
{
if (fsufix[i] != ':' && fsufix[i] != ';')
{
FileSufix += fsufix[i];
}
else
{
FileSufix += ' ';
}
}
}
public TaskLinkingMatrixControl()
{
Disp = new Dispers();
InitializeComponent();
if (Common.Db != null)
{
Folder = Common.Db.GetFolder(Common.DbNameLinkingFolder);
Control = new CheckedSpectrCollectionControl(
Folder, clSpList, SpView,
null,
null,
null);
Control.AfterMeasuringProc += new AfterMeasuringDel(AfterMeasuringCall);
Control.FirstFileName = BaseMatrixName;
}
if (Common.Env != null)
{
if (Common.Env.LinkintEditorText == null ||
Common.Env.LinkintEditorText.Length == 0)
{
cmtLoadDefaultLinks_Click(null, null);
/*string def_d = Common.Dev.DefaultDipsers();
* if (def_d == null)
* tbLinks.Text = "#Заготовка" + serv.Endl + serv.Endl +
* "s1:3 #сенс.1 полином3" + serv.Endl +
* "10-2200" + serv.Endl +
* "200-2210" + serv.Endl;
* else
* tbLinks.Text = def_d;*/
}
else
{
tbLinks.Text = Common.Env.LinkintEditorText;
}
}
try
{
tbLinks.Cursor = Common.GetCursor("TextWithMenu.cur");
}
catch (Exception ex)
{
Common.Log(ex);
}
Common.SetupFont(menuStrip1);
Log.Reg(MLSConst, menuStrip1);
}
List <double> HasLine(int sn, double ly, Dispers disp, int plus_minus, out double ly_real, out List <float[]> data)
{
int prob_count = Method.GetProbCount();
//double ret = 0;
int n_ret = 0;
ly_real = 0;
List <double> ret = new List <double>();
data = new List <float[]>();
for (int pr = 0; pr < prob_count; pr++)
{
MethodSimpleProb msp = Method.GetProbHeader(pr);
for (int spr = 0; spr < msp.MeasuredSpectrs.Count; spr++)
{
MethodSimpleProbMeasuring pm = msp.MeasuredSpectrs[spr];
if (pm.Sp == null)
{
continue;
}
SpectrDataView sdv = pm.Sp.GetDefultView();
double tmp = 0;
double ly_cur = 0;
float[] data_cur = null;
try
{
tmp = CheckLine(sn, ly, sdv.GetFullDataNoClone(), disp, plus_minus, out ly_cur, out data_cur);
}
catch
{
}
if (tmp == 0)
{
ly_real = -1;
data = null;
return(null);
}
ly_real += ly_cur;
ret.Add(tmp);
data.Add(data_cur);
n_ret++;
}
}
ly_real /= n_ret;
return(ret);// / n_ret;
}
void LoadLinks(int n, Dispers d)
{
try
{
string endl = SpectroWizard.serv.Endl;
string ret = "";
//Dispers d = SpView.GetSpectr(0).GetCommonDispers();
for (int sn = 0; sn < d.GetSensorSizes().Length; sn++)
{
double[] k = d.GetK(sn);
ret += "s" + (sn + 1) + ":";
if (k[3] != 0)
{
ret += "3";
}
else
{
ret += "2";
}
ret += endl;
for (int i = 0; i < k.Length; i++)
{
ret += " #K" + (i + 1) + "=" + k[i] + endl;
}
ret += endl;
float local_pixel = 0;
float step = d.GetSensorSizes()[0] / (float)(n - 1) - 1;
for (int i = 0; i < n; i++)
{
local_pixel = i * step;
ret += Math.Round(d.GetGlobalPixelByLy(sn, d.GetLyByLocalPixel(sn, local_pixel))) + "-" +
Math.Round(d.GetLyByLocalPixel(sn, local_pixel), 3) + endl;
}
ret += endl;
}
tbLinks.Text = ret;
}
catch (Exception ex)
{
Log.Out(ex);
}
}
public ViewElementData(SpectrDataView spv, string description, string fsufix, Dispers disp, int sn)
{
if (spv.BlankStart != null)
{
BlankStart = new float[spv.BlankStart[sn].Length];
for (int i = 0; i < BlankStart.Length; i++)
{
BlankStart[i] = spv.BlankStart[sn][i];
}
//BlankStartFFT = GetFFT(BlankStart);
}
if (spv.BlankEnd != null)
{
BlankEnd = new float[spv.BlankEnd[sn].Length];
for (int i = 0; i < BlankEnd.Length; i++)
{
BlankEnd[i] = spv.BlankEnd[sn][i];
}
//BlankEndFFT = GetFFT(BlankEnd);
}
Init(spv.GetSensorData(sn), description, fsufix, disp, sn);
//DtFFT = GetFFT(Dt);
}
public ViewElementDispers(Dispers val, string description, string fsufix)
{
Dt = val;
Desc = description;
FileSufix = fsufix;
}
public void SetupSpectr(Spectr sp)
{
BackColor = SystemColors.Control;
Sp = sp;
trStructure.BeginUpdate();
trStructure.Nodes.Clear();
ToSave.Clear();
TreeNode node = new TreeNode(Common.MLS.Get(MLSConst, "Блок предпросмотра"));
trStructure.Nodes.Add(node);
TreeNode tmp = new TreeNode(Common.MLS.Get(MLSConst, "Дата измерения"));
tmp.Tag = new ViewElementDate(sp.CreatedDate, sp.GetViewsSet()[0].MaxLinarLevel, sp.GetViewsSet()[0].OverloadLevel,
Common.MLS.Get(MLSConst, "Дата измерения спектра"),
null);
node.Nodes.Add(tmp);
tmp = new TreeNode(Common.MLS.Get(MLSConst, "Диагностика"));
tmp.Tag = new ViewElementString(sp.SpectrInfo,
Common.MLS.Get(MLSConst, "Сообщения внутренней диагностической системы"),
null);
node.Nodes.Add(tmp);
tmp = new TreeNode(Common.MLS.Get(MLSConst, "Дисперсия"));
ToSave.Add(new ViewElementDispers(sp.GetCommonDispers(),
Common.MLS.Get(MLSConst, "Коэффициенты дисперсионной кривой [ A B C D E ] для полинома вида: A + B*x + C*x*x + D*x*x*x + E*x*x*x*x"),
null));
tmp.Tag = ToSave[ToSave.Count - 1];
node.Nodes.Add(tmp);
Dispers disp = sp.GetCommonDispers();
int[] ss = disp.GetSensorSizes();
for (int s = 0; s < ss.Length; s++)
{
try
{
tmp = new TreeNode(Common.MLS.Get(MLSConst, "Данные для линейки №") + (s + 1));
ToSave.Add(new ViewElementData(sp.GetDefultView(),
Common.MLS.Get(MLSConst, "Номера пикселов; их амплитуда; длина волны; для линейки №") + (s + 1),
"_данные для отображения_SN" + (s + 1), disp, s));
tmp.Tag = ToSave[ToSave.Count - 1];
node.Nodes.Add(tmp);
}
catch (Exception ex)
{
Common.LogNoMsg(ex);
break;
}
}
for (int s = 0; s < ss.Length; s++)
{
try{
tmp = new TreeNode(Common.MLS.Get(MLSConst, "Коэффициенты чувствительностей для линейки №") + (s + 1));
ToSave.Add(new ViewElementData(sp.OFk.GetSensKForTesting()[s],
Common.MLS.Get(MLSConst, "Номера пикселов; Коэффифиенты чувствительностей; для линейки №") + (s + 1),
"_чувствительности_SN" + (s + 1), disp, s));
tmp.Tag = ToSave[ToSave.Count - 1];
node.Nodes.Add(tmp);
}
catch (Exception ex)
{
Common.LogNoMsg(ex);
break;
}
}
node = new TreeNode(Common.MLS.Get(MLSConst, "Блок с данными"));
trStructure.Nodes.Add(node);
List <SpectrDataView> views = Sp.GetViewsSet();
for (int v = 0; v < views.Count; v++)
{
string cond = views[v].GetCondition().SourceCode;
tmp = new TreeNode(Common.MLS.Get(MLSConst, cond));
tmp.Tag = new ViewElementString(cond,
Common.MLS.Get(MLSConst, "Строка инициализации оборудования"),
null);
node.Nodes.Add(tmp);
for (int s = 0; s < ss.Length; s++)
{
TreeNode ttmp = new TreeNode(Common.MLS.Get(MLSConst, "Данные для линейки №") + (s + 1));
ToSave.Add(new ViewElementData(views[v],
Common.MLS.Get(MLSConst, "Номера пикселов; их амплитуда; длина волны; для линейки №") + (s + 1),
"_исходные данные" + (v + 1) + "_SN" + (s + 1) + cond, disp, s));
ttmp.Tag = ToSave[ToSave.Count - 1];
tmp.Nodes.Add(ttmp);
}
}
btSaveSelected.Visible = false;
trStructure.EndUpdate();
trStructure.ExpandAll();
}
public bool SetupLy(float ly, bool force)//,int PixelDlt)
{
Spectr sp = Sp;
if (sp == null)
{
return(false);
}
float _ForLy = ly;//(float)nmLy.Value;
Dispers disp = sp.GetCommonDispers();
List <int> fsn = disp.FindSensors(_ForLy);
if (fsn.Count == 0)
{
return(false);
}
int sn = 0;
if (cbFromSnNum.SelectedIndex == 0 || fsn.Count == 1)
{
sn = fsn[0];
}
else
{
sn = fsn[1];
}
float _LySpectrLocalPixel = (float)disp.GetLocalPixelByLy(sn, _ForLy);
int ss = disp.GetSensorSizes()[sn];
int pixel_from = (int)(_LySpectrLocalPixel - PixelDlt * 4);
int pixel_to = (int)(_LySpectrLocalPixel + PixelDlt * 4);
int _LySpectrEtalonPixelFrom = pixel_from;
int[] short_indexes = sp.GetShotIndexes();
int sh_ind = short_indexes[short_indexes.Length / 2];
SpectrDataView nul = sp.GetNullFor(sh_ind);
SpectrDataView sig = sp[sh_ind];
float[] nul_data = nul.GetSensorData(sn);
float[] sig_data = sig.GetSensorData(sn);
float[] ly_cand = new float[pixel_to - pixel_from + 1];
for (int i = 0; i < ly_cand.Length; i++)
{
if (i + pixel_from >= 0 && i + pixel_from < sig_data.Length)
{
ly_cand[i] = (sig_data[i + pixel_from] - nul_data[i + pixel_from]) + 10;
}
else
{
ly_cand[i] = 0;
}
}
GraphPreview gp = new GraphPreview();
if (force || gp.check(ParentForm, ly_cand))
{
double min = double.MaxValue, max = -double.MaxValue;
for (int i = 0; i < ly_cand.Length; i++)
{
if (ly_cand[i] == 0)
{
continue;
}
if (min > ly_cand[i])
{
min = ly_cand[i];
}
if (max < ly_cand[i])
{
max = ly_cand[i];
}
}
double weight = 0;
double noise = 0;
for (int i = Common.Conf.MultFactor; i < ly_cand.Length - Common.Conf.MultFactor; i += Common.Conf.MultFactor)
{
if (ly_cand[i] == 0 || ly_cand[i - Common.Conf.MultFactor] == 0)
{
continue;
}
double dlt = Math.Abs(ly_cand[i - Common.Conf.MultFactor] - ly_cand[i]);
double ever = (ly_cand[i - Common.Conf.MultFactor] + ly_cand[i]) / 2;
noise += dlt / ever;
weight += 1 / ever;
}
noise /= weight;
noise *= gp.NoiseCenselationLevel;
float level = (float)(min + noise);
float[] fly_cand = new float[ly_cand.Length];
for (int i = 0; i < ly_cand.Length; i++)
{
if (ly_cand[i] < level)
{
fly_cand[i] = 0;
}
else
{
fly_cand[i] = ly_cand[i] - level;
}
}
if (force || gp.check(ParentForm, fly_cand))
{
ly_cand = fly_cand;
}
ForLy = _ForLy;
LySpectrLocalPixel = _LySpectrLocalPixel;
LySpectrEtalon = ly_cand;
LySpectrEtalonPixelFrom = _LySpectrEtalonPixelFrom;
return(true);
}
return(false);
}
void SaveFile(string file_name, Dispers disp, OpticFk ofk, SpectrDataView sig, SpectrDataView nul)
{
string separator = "; ", endl = serv.Endl;
if (cbType.SelectedIndex == 0)
{
separator = "; ";
}
else
{
separator = ", ";
}
string tmp = "id" + separator +
" ccd" + separator +
" pixel" + separator +
" vpixel" + separator +
" signal" + separator +
" null" + separator +
" ly" + separator +
" sens_k" + separator + endl;
int[] sn, vpix, pix;
float[] sigd, nuld, sens;
GetData(sig, disp, ofk, out sn, out pix, out vpix, out sigd, out sens);
if (nul != null)
{
GetData(nul, disp, ofk, out sn, out pix, out vpix, out nuld, out sens);
}
else
{
nuld = null;
}
FileStream fs = new FileStream(file_name, FileMode.OpenOrCreate, FileAccess.Write);
try
{
fs.SetLength(0);
byte[] buf = Encoding.ASCII.GetBytes(tmp);
fs.Write(buf, 0, buf.Length);
for (int i = 0; i < sn.Length; i++)
{
tmp = "" + (i + 1) + separator;
tmp += (sn[i] + 1) + separator;
tmp += pix[i] + separator;
tmp += vpix[i] + separator;
tmp += sigd[i] + separator;
if (nuld != null)
{
tmp += nuld[i] + separator;
}
else
{
tmp += "0" + separator;
}
tmp += disp.GetLyByLocalPixel(sn[i], vpix[i]) + separator;
tmp += sens[i] + separator;
tmp += endl;
buf = Encoding.ASCII.GetBytes(tmp);
fs.Write(buf, 0, buf.Length);
}
fs.Flush();
}
finally
{
fs.Close();
}
}
public List <ExtraLineInfo> CheckSpectr(Spectr sp)
{
List <ExtraLineInfo> ret = new List <ExtraLineInfo>();
if (EmptySpaces.Count == 0)
{
return(ret);
}
List <SpectrDataView> views = sp.GetViewsSet();
int[] active_view_indexes = sp.GetShotIndexes();
int[] ss = sp.GetCommonDispers().GetSensorSizes();
for (int esi = 0; esi < EmptySpaces.Count; esi++)
{
for (int vi = 0; vi < active_view_indexes.Length; vi++)
{
SpectrDataView view = views[active_view_indexes[vi]];
SpectrDataView nul = sp.GetNullFor(active_view_indexes[vi]);
Dispers d = sp.GetCommonDispers();
List <int> sns = d.FindSensors(EmptySpaces[esi][1]);
if (sns.Count == 0)
{
continue;
}
int sn = sns[0];
int pixel_from = (int)d.GetLocalPixelByLy(sn, EmptySpaces[esi][1]) - (int)nmMargine.Value;
if (pixel_from < 0)
{
pixel_from = 0;
}
int pixel_to = (int)d.GetLocalPixelByLy(sn, EmptySpaces[esi][2]) + (int)nmMargine.Value;
if (pixel_to >= ss[sn])
{
pixel_to = ss[sn] - 1;
}
float[] data_s = view.GetSensorData(sn); //.GetFullData()[sn];
float[] data_n = nul.GetSensorData(sn); //.GetFullData()[sn];
float[] data = new float[pixel_to - pixel_from];
for (int i = 0; i < data.Length; i++)
{
data[i] = data_s[pixel_from + i] - data_n[pixel_from + i];
}
int side = (int)nmMinLineWidth.Value / 2;
for (int i = (int)nmMinLineWidth.Value; i < data.Length - (int)nmMinLineWidth.Value; i++)
{
while (i < data.Length - 5 && data[i] < data[i + 1])
{
i++;
}
int left = 0;
int right = 0;
if (isLine(data, data.Length - 2, i, view.MaxLinarLevel, side, side * 2 + 2, ref left, ref right))
{
int start_pixel = i - 2;
int final_pixel = i + 2;
for (; start_pixel > 0 && data[start_pixel] < data[start_pixel + 1]; start_pixel--)
{
;
}
for (; final_pixel < data.Length - 1 && data[final_pixel] < data[final_pixel - 1]; final_pixel++)
{
;
}
if (data[i] - (data[start_pixel] + data[final_pixel]) / 2 > (int)nmMinAmpl.Value)
{
ret.Add(new ExtraLineInfo(sn, i + pixel_from, d, (data[i] + data[i + 1] + data[i - 1]) / 3));
}
i += right;
}
}
}
}
return(ret);
}
public bool Calc(List <GLogRecord> log,
string log_section, string log_prefix,
SpectrDataView sig,
SpectrDataView nul,
Spectr spectr,
out double analit,
out double aq,
ref CalcLineAtrib attrib,
bool is_calibr)
{
if (nmLy.Value < 10)
{
nmLy.Value = 0;
analit = 1;
aq = 0;
return(true);
}
analit = 0;
aq = 0;
int sn;
if (GetSnNum(log, log_section, spectr.GetCommonDispers(),
sig.MaxLinarLevel, out sn) == false)
{
return(false);
}
Dispers disp = spectr.GetCommonDispers();//sig.GetDispersRO();
int ss = disp.GetSensorSizes()[sn];
float base_pixel_f = (float)disp.GetLocalPixelByLy(sn, (double)nmLy.Value);
int base_pixel = (int)base_pixel_f;
int pixel_from = base_pixel - PixelDlt;
if (pixel_from < 0)
{
pixel_from = 0;
}
int pixel_to = base_pixel + PixelDlt;
if (pixel_to > ss - 1)
{
pixel_to = ss - 1;
}
float[] sig_data = sig.GetSensorDataWithCorrection(sn);
float[] nul_data = nul.GetSensorDataWithCorrection(sn);
int start_pixel = (int)((base_pixel_f - pixel_from) * Common.Conf.MultFactor);
int start_pixel_orig = start_pixel;
//float max_val = sig.MaxLinarLevel;
float max_val = Common.Conf.MaxLevel;
float[] sig_nul = new float[pixel_to - pixel_from + 1];
OpticFk ofk = spectr.OFk;
//float[][] sensK = ofk.GetSensK();
for (int i = 0; i < sig_nul.Length; i++)
{
sig_nul[i] = ofk.GetCorrectedValue(sn, i + pixel_from, sig_data, nul_data, max_val);// sig_data[i + pixel_from] - nul_data[i + pixel_from];
//sig_nul[i] *= sensK[sn][i+pixel_from];
}
int max_pix = base_pixel;
for (; max_pix < sig_data.Length - 1 &&
sig_data[max_pix] - nul_data[max_pix] < sig_data[max_pix + 1] - nul_data[max_pix + 1];
max_pix++)
{
;
}
for (; max_pix > 1 &&
sig_data[max_pix] - nul_data[max_pix] < sig_data[max_pix - 1] - nul_data[max_pix - 1];
max_pix--)
{
;
}
int sig_val = (int)(sig_data[max_pix] - nul_data[max_pix]);
if (sig_val < MinSignalAmpl)
{
MinSignalAmpl = sig_val;
}
if (sig_val > MaxSignalAmpl)
{
MaxSignalAmpl = sig_val;
}
double[] working_data = PrepareData(sig_data, sig_nul, sn, pixel_from, spectr, max_val, Common.Conf.MultFactor);
if (LySpectrEtalon != null)
{
if (LySpectrEtalonCalc == null)
{
LySpectrEtalonCalc = PrepareData(sig_data, LySpectrEtalon, sn, 0, spectr, max_val, Common.Conf.MultFactor);
}
double min_etalon = double.MaxValue;
double min_sig = double.MaxValue;
int shift = (int)(LySpectrLocalPixel - LySpectrEtalonPixelFrom) * Common.Conf.MultFactor - start_pixel;
double crit = Corel(LySpectrEtalonCalc, working_data,
shift, start_pixel, spectr.OverloadLevel,
ref min_etalon, ref min_sig);
for (int i = 0; i < 4 * Common.Conf.MultFactor; i++)
{
double cand_crit = Corel(LySpectrEtalonCalc, working_data,
shift + 1, start_pixel, spectr.OverloadLevel,
ref min_etalon, ref min_sig);
if (cand_crit > crit)
{
shift++;
start_pixel--;
crit = cand_crit;
}
else
{
break;
}
}
for (int i = 0; i < 4 * Common.Conf.MultFactor; i++)
{
double cand_crit = Corel(LySpectrEtalonCalc, working_data,
shift - 1, start_pixel, spectr.OverloadLevel,
ref min_etalon, ref min_sig);
if (cand_crit > crit)
{
shift--;
start_pixel++;
crit = cand_crit;
}
else
{
break;
}
}
}
else
{
log.Add(new GLogMsg(log_section,
log_prefix + Common.MLS.Get(MLSConst, "Нет профиля линии. Для устаноки Ly используйте 'Устан.'") + nmLy.Value,
Color.Orange));
}
if (cbMaximumType.SelectedIndex == 0 || cbMaximumType.SelectedIndex == 1)
{
int steps;
if (cbMaximumType.SelectedIndex == 0)
{
steps = 5;
}
else
{
steps = 30;
}
if (working_data[start_pixel] < working_data[start_pixel + 1])
{
for (int i = 0; i < steps &&
working_data[start_pixel] < working_data[start_pixel + 1];
i++, start_pixel++)
{
start_pixel++;
}
start_pixel--;
}
if (working_data[start_pixel] < working_data[start_pixel - 1])
{
for (int i = 0; i < steps &&
working_data[start_pixel] < working_data[start_pixel - 1];
i++, start_pixel--)
{
start_pixel--;
}
start_pixel++;
}
}
analit = working_data[start_pixel];
if (cbExtraCalcType.SelectedIndex == 1)
{
double bkg_analit, bkg_aq;
CalcBackGround(log, log_section, log_prefix + "bkg", sig, nul, spectr, out bkg_analit, out bkg_aq);
analit /= bkg_analit;
}
//double min = working_data[0];//1 = working_data[start_pixel - 10];
//double min2 = working_data[start_pixel + 10];
//for (int i = start_pixel - 10; i > 0 && working_data[i] < working_data[i + 1]; i--)
//if (working_data[i] < min1)
//min1 = working_data[i];
//for (int i = start_pixel + 10; i < working_data.Length-1 && working_data[i] < working_data[i - 1]; i++)
//if (working_data[i] < min2)
//min2 = working_data[i];
double ampl = analit;// - (min1+min2)/2;
if (is_calibr)
{
if (ampl < MinAnalitValue)
{
MinAnalitValue = (float)ampl;
}
if (ampl > MaxAnalitValue)
{
MaxAnalitValue = (float)ampl;
}
}
else
{
//double dlt = (MinAnalitValue-MinAnalitValue)
float extr_val = MinAnalitValue * (1 - Common.Env.MaxAmplDlt);
if (ampl < extr_val)
{
attrib.IsTooLow = true;
log.Add(new GLogMsg(log_section,
log_prefix + Common.MLS.Get(MLSConst, "Линия слишком слабая: ") + nmLy.Value + " " + (int)ampl + "<" + (int)extr_val,
Color.Red));
}
extr_val = MaxAnalitValue * (1 + Common.Env.MaxAmplDlt);
if (ampl > extr_val)
{
attrib.IsTooHi = true;
log.Add(new GLogMsg(log_section,
log_prefix + Common.MLS.Get(MLSConst, "Линия слишком сильная: ") + nmLy.Value + " " + (int)ampl + ">" + (int)extr_val,
Color.Red));
}
int pix = (int)(pixel_from + start_pixel / Common.Conf.MultFactor);
if (sig_data[pix] > max_val ||
sig_data[pix + 1] > max_val ||
sig_data[pix + 2] > max_val ||
sig_data[pix + 3] > max_val ||
sig_data[pix - 1] > max_val ||
sig_data[pix - 2] > max_val ||
sig_data[pix - 3] > max_val)
{
attrib.IsNonLinar = true;
log.Add(new GLogMsg(log_section,
log_prefix + Common.MLS.Get(MLSConst, "Линия превысила допустимое значение: ") + nmLy.Value,
Color.Red));
}
}
log.Add(new GLogMsg(log_section,
log_prefix + "A(" + nmLy.Value + ")=" + serv.GetGoodValue(analit, 3) + " [" + serv.GetGoodValue(ampl, 2) + "]",// + " min_analit_val=" + MinAnalitValue,
Color.Black));
log.Add(new GLogSpData(log_section,
log_prefix + "Ly(" + nmLy.Value + ")",
working_data, start_pixel, start_pixel,
start_pixel_orig, (double)nmLy.Value, Color.Blue, Color.Red));
if (LySpectrEtalonCalc != null)
{
int center = LySpectrEtalonCalc.Length / 2;
log.Add(new GLogSpData(log_section,
log_prefix + "Ly(" + nmLy.Value + ")",
formatEtalon(working_data, LySpectrEtalonCalc), center, center,
center - 10, (double)nmLy.Value, Color.LightGray, Color.Black));
}
return(true);
}
public ViewElementData(float[] val, string description, string fsufix, Dispers disp, int sn)
{
Init(val, description, fsufix, disp, sn);
}
public bool CalcBackGround(List <GLogRecord> log,
string log_section,
string log_prefix,
//Spectr ly_spectr,
SpectrDataView sig,
SpectrDataView nul,
Spectr spectr,
out double analit,
out double err)
{
analit = 0;
err = 0;
int sn;
if (GetSnNum(log, log_section, spectr.GetCommonDispers(),
sig.MaxLinarLevel, out sn) == false)
{
log.Add(new GLogMsg(log_section,
Common.MLS.Get(MLSConst, "Не корректная длина волны."),
Color.Black));
return(false);
}
Function fk;
bool[] mask;
sig.GetBackGroundFunction(sn, out fk, out mask);
float[] sg = sig.GetSensorData(sn);
if (fk == null)
{
#region calc backgound region level
double max_level = sig.MaxLinarLevel * 0.5;
float[] sg_plav = sig.GetSensorData(sn);
float[] nl = nul.GetSensorData(sn);
for (int i = 0; i < sg.Length; i++)
{
if (sg[i] < max_level)
{
sg[i] -= nl[i];
}
else
{
sg[i] = float.MaxValue;
}
}
for (int i = 3; i < sg.Length - 3; i++)
{
if (sg[i] < float.MaxValue &&
sg[i + 1] < float.MaxValue &&
sg[i - 1] < float.MaxValue)
{
sg_plav[i] = (sg[i] + sg[i - 1] + sg[i + 1] + sg[i - 2] + sg[i + 2]) / 5;
}
}
bool[] flags = new bool[sg_plav.Length];
for (int i = 1; i < sg.Length - 1; i++)
{
flags[i] = true;
}
for (int i = 2; i < sg.Length - 2; i++)
{
if (sg[i] == float.MaxValue ||
sg[i - 1] == float.MaxValue ||
sg[i + 1] == float.MaxValue ||
sg[i - 2] == float.MaxValue ||
sg[i + 2] == float.MaxValue)
{
flags[i - 2] = false;
flags[i - 1] = false;
flags[i] = false;
flags[i + 1] = false;
flags[i + 2] = false;
continue;
}
if (sg_plav[i] > sg_plav[i + 1] &&
sg_plav[i] > sg_plav[i - 1] &&
sg_plav[i + 1] > sg_plav[i + 2] &&
sg_plav[i - 1] > sg_plav[i - 2])
{
for (int j = i; j < sg.Length - 1 && sg_plav[j] > sg_plav[j + 1]; j++)
{
flags[j] = false;
}
for (int j = i; j > 1 && sg_plav[j] > sg_plav[j - 1]; j--)
{
flags[j] = false;
}
}
}
for (int i = 1; i < sg.Length; i++)
{
if (flags[i - 1] == false && flags[i] == true)
{
flags[i] = false;
i++;
}
}
for (int i = 1; i < sg.Length; i++)
{
if (flags[i - 1] == true && flags[i] == false)
{
flags[i - 1] = true;
i++;
}
}
int count = 0;
for (int i = 3; i < sg.Length - 3; i++)
{
if (flags[i])
{
int from = i;
for (int j = 0; i < sg.Length && flags[i] && j < 4; i++, j++)
{
;
}
int to = i - 1;
int len = to - from;
if (len <= 2)
{
for (int j = from; j <= to; j++)
{
flags[j] = false;
}
}
i--;
}
}
for (int i = 3; i < sg.Length - 3; i++)
{
if (flags[i])
{
count++;
}
}
double[] pixel = new double[count];
double[] val = new double[count];
count = 0;
for (int i = 3; i < sg.Length - 3; i++)
{
if (flags[i])
{
pixel[count] = i;
val[count] = sg[i];
count++;
}
}
fk = new Function(Function.Types.Polinom3, pixel, val, false, false, 1);
mask = flags;
sig.SetBackGroundFunction(sn, fk, mask);
#endregion
}
//Dispers disp = ly_spectr.GetCommonDispers();
Dispers disp = spectr.GetCommonDispers();
int[] ss = disp.GetSensorSizes();
/*double ly_from = disp.GetLyByLocalPixel(sn,40);
* double ly_to = disp.GetLyByLocalPixel(sn,ss[sn]-40);
* disp = spectr.GetCommonDispers();// sig.GetDispersRO();
* int pixel_from = (int)disp.GetLocalPixelByLy(sn,ly_from);
* int pixel_to = (int)disp.GetLocalPixelByLy(sn,ly_to);*/
int pixel_from = 5;
int pixel_to = ss[sn] - 5;
double ever = 0;
double sko = 0;
int sko_num = 0;
for (int i = pixel_from; i <= pixel_to; i++)
{
double val = fk.CalcY(i);
ever += val;
if (mask[i])
{
double tmp = sg[i] - val;
sko += tmp * tmp;
sko_num++;
}
}
ever /= (pixel_to - pixel_from + 1);
sko /= sko_num;
sko = Math.Sqrt(sko) * 100 / ever;
analit = ever;
err = sko;
log.Add(new GLogMsg(log_section,
Common.MLS.Get(MLSConst, "Уровень фона=") + ever +
Common.MLS.Get(MLSConst, " с СКО=") + sko,
Color.Black));
return(true);
}
private void btSeachStart_Click(object sender, EventArgs e)
{
try
{
tbLog.Text = "";
Log("Поиск линий...");
int prc = Method.GetProbCount();
//List<int> found_sn = new List<int>();
//List<double> found_ly = new List<double>();
List <SpectrData> found_lines = new List <SpectrData>();
Dispers disp = null;
for (int pr = 0; pr < prc; pr++)
{
MethodSimpleProb msp = Method.GetProbHeader(pr);
int sprc = msp.MeasuredSpectrs.Count;
for (int spr = 0; spr < sprc; spr++)
{
if (msp.MeasuredSpectrs[spr].Sp != null)
{
disp = msp.MeasuredSpectrs[spr].Sp.GetCommonDispers();
break;
}
}
}
int[] ss = disp.GetSensorSizes();
int step = (int)(numMinWidth.Value / 2);
for (int sn = 0; sn < ss.Length; sn++)
{
double prev_found_ly = 0;
for (int p = 15; p < ss[sn] - 15; p += step)
{
double ly;
List <float[]> spectr_data = null;
List <double> vals = HasLine(sn, disp.GetLyByLocalPixel(sn, p), disp, step, out ly, out spectr_data);
if (vals == null)
{
continue;
}
if (Math.Abs(prev_found_ly - ly) < 0.1)
{
continue;
}
found_lines.Add(new SpectrData(sn, ly, vals, spectr_data));
prev_found_ly = ly;
}
}
Log("Найдено " + found_lines.Count + " линий.");
for (int i = 0; i < found_lines.Count - 1; i++)
{
if (found_lines[i].Value.Count != found_lines[i + 1].Value.Count)
{
for (i = 0; i < found_lines.Count - 3; i++)
{
if (found_lines[i].Value.Count == found_lines[i + 1].Value.Count &&
found_lines[i + 1].Value.Count == found_lines[i + 2].Value.Count &&
found_lines[i + 2].Value.Count == found_lines[i + 3].Value.Count)
{
int real_num = found_lines[i].Value.Count;
int skipped = 0;
for (i = 0; i < found_lines.Count - 3; i++)
{
if (found_lines[i].Value.Count == real_num)
{
found_lines.RemoveAt(i);
i--;
skipped++;
}
}
Log("Отбраковано по количеству " + skipped + " линий.");
break;
}
}
break;
}
}
//List<ProbInfo> pairs = new List<ProbInfo>();
MethodSimpleElementFormula msef = Method.GetElHeader(Element).Formula[Formula];
msef.Formula.Founds.Clear();
msef.Formula.Pairs.Clear();
bool[] used = msef.Formula.GetUsedFrames();
int[] used_to_index = new int[used.Length];
int to_index = 0;
// формируем массив пересчёта индекса в массиве отношений в номер кадра
for (int i = 0; i < used_to_index.Length; i++)
{
if (used[i] == false)
{
continue;
}
used_to_index[to_index] = i;
to_index++;
}
for (int pr = 0; pr < prc; pr++)
{
MethodSimpleCell msc = Method.GetCell(Element, pr);
MethodSimpleProb msp = Method.GetProbHeader(pr);
int sub_prob_count = msp.MeasuredSpectrs.Count;
for (int sub_prob_i = 0; sub_prob_i < sub_prob_count; sub_prob_i++)
{
if (msp.MeasuredSpectrs[sub_prob_i].Sp != null)
{
MethodSimpleProbMeasuring mspm = msp.MeasuredSpectrs[sub_prob_i];
MethodSimpleCellFormulaResult mscfr = msc.GetData(sub_prob_i, Formula);
if (mscfr.Enabled == false)
{
continue;
}
double ever_analit = 0;
for (int i = 0; i < mscfr.ReCalcCon.Length; i++)
{
ever_analit += mscfr.AnalitValue[i];
}
ever_analit /= mscfr.AnalitValue.Length;
List <SpectrDataView> data = msp.MeasuredSpectrs[sub_prob_i].Sp.GetViewsSet();
int[] active_sp = msp.MeasuredSpectrs[sub_prob_i].Sp.GetShotIndexes();
for (int i = 0; i < mscfr.AnalitValue.Length; i++)
{
//pr, spr, used_to_index[i],
SpectrDataView sig = data[active_sp[used_to_index[i]]];
SpectrDataView nul = msp.MeasuredSpectrs[sub_prob_i].Sp.GetNullFor(active_sp[used_to_index[i]]);
float[][] d = msp.MeasuredSpectrs[sub_prob_i].Sp.OFk.GetCorrectedData(sig, nul).GetFullDataNoClone();
msef.Formula.Pairs.Add(new ProbInfo(pr, sub_prob_i, used_to_index[i], ever_analit, mscfr.AnalitValue[i],
d, msp.MeasuredSpectrs[sub_prob_i].Sp.GetCommonDispers()));
}
}
}
}
Log("Сформирован список из " + msef.Formula.Pairs.Count + " отклонений от среднего.");
string tmp = (string)tbLog.Text.Clone();
int ps_max = found_lines.Count * (found_lines.Count / 2 - 1);
int ps_count = 0;
for (int i = 0; i < found_lines.Count; i++)
{
for (int j = i + 1; j < found_lines.Count; j++)
{
if (chTheSameLine.Checked && found_lines[i].Sn != found_lines[j].Sn)
{
continue;
}
CorellFounds rez;
try
{
rez = Corel(msef.Formula.Pairs, found_lines[i].Ly, found_lines[i].Sn, found_lines[j].Ly, found_lines[j].Sn);
if (rez.CorellAbs > 0.1)
{
bool inserted = false;
for (int k = 0; k < msef.Formula.Founds.Count; k++)
{
if (rez.CorellAbs > msef.Formula.Founds[k].CorellAbs)
{
msef.Formula.Founds.Insert(k, rez);
inserted = true;
break;
}
}
if (inserted == false)
{
msef.Formula.Founds.Add(rez);
}
while (msef.Formula.Founds.Count > 80)
{
msef.Formula.Founds.RemoveAt(msef.Formula.Founds.Count - 1);
}
}
if (msef.Formula.Founds.Count > 0)
{
tbLog.Text = "Проверено " + Math.Round(ps_count * 100.0 / ps_max, 1) + "% пар... K=" +
msef.Formula.Founds[0].Corell + serv.Endl + tmp;
}
else
{
tbLog.Text = "Проверено " + Math.Round(ps_count * 100.0 / ps_max, 1) + "% пар..." +
serv.Endl + tmp;
}
tbLog.Refresh();
}
catch (Exception ex)
{
}
ps_count++;
}
}
tbLog.Text = tmp;
if (msef.Formula.Founds.Count == 0)
{
Log("Поиск зависимостей завершён.Зависимостей нет.");
}
else
{
Log("Поиск зависимостей завершён.Максимальный коэффициент корелляции = " +
msef.Formula.Founds[0].Corell);
}
InitList();//*/
}
catch (Exception ex)
{
Common.Log(ex);
}
}
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;
}
void ShearchThread()
{
try
{
lbSearchResult.Enabled = false;
List <int> sn_list = new List <int>();
//float x, y;
//List<float> pixt;
List <int> snt;
Dispers disp = Sp.GetCommonDispers();
int[] ss = disp.GetSensorSizes();
Results.Clear();
bool is_line = cbGraphType.SelectedIndex == 0;
switch (cbSearchType.SelectedIndex)
{
case 0:
snt = disp.FindSensors((float)Formula.Formula.analitParamCalc.methodLineCalc1.nmLy.Value);
if (Formula.Formula.analitParamCalc.methodLineCalc1.cbFromSnNum.SelectedIndex == 0)
{
sn_list.Add(snt[0]);
}
else
{
sn_list.Add(snt[1]);
}
break;
case 1:
for (int i = 0; i < ss.Length; i++)
{
if ((i % 2) != 0)
{
sn_list.Add(i);
}
}
break;
case 2:
for (int i = 0; i < ss.Length; i++)
{
if ((i % 2) == 0)
{
sn_list.Add(i);
}
}
break;
case 3:
for (int i = 0; i < ss.Length; i++)
{
sn_list.Add(i);
}
break;
}
SimpleFormulaEditor.Setup(ElementName, Formula.Formula,
Method, Spv, ElementIndex, SelectedCol);
int redraw_count = 0;
//DelRecalcFormula frd = new DelRecalcFormula(DelRecalcFormulaProc);
MaxSize = 0;
for (int s_index = 0; s_index < sn_list.Count; s_index++)
{
MaxSize += ss[sn_list[s_index]] - 60;
}
Passed = 0;
SpectrDataView def_viwe = Sp.GetDefultView();
for (int s_index = 0; s_index < sn_list.Count && Visible && Th != null && Common.IsRunning; s_index++)
{
SpectrCalc calc = new SpectrCalc(Method, ElementIndex, SelectedCol);
calc.InitData(sn_list[s_index]);
//Thread.Sleep(10);
int sn = sn_list[s_index];
CurrentSN = sn;
float[] data = def_viwe.GetSensorData(sn);
for (int pix = 30; pix < ss[sn] - 30; pix++)
{
if (analit.SpectrFunctions.IsPick(data, pix, Common.Conf.MaxLevel) == false)
{
continue;
}
CurrentPix = pix;
float ly = (float)disp.GetLyByLocalPixel(sn, pix);
double sko = calc.CalcSKO(pix, is_line);
CalcResult cr = new CalcResult(ly, sn, sko, pix);
if (Results.Count == 0)
{
Results.Add(cr);
}
else
{
bool added = false;
for (int i = 0; i < Results.Count; i += 100)
{
if (Results[i].SKO > sko || i + 100 >= Results.Count)
{
int ifrom = i - 100;
if (ifrom < 0)
{
ifrom = 0;
}
int ito = i + 10;
if (ito >= Results.Count)
{
ito = Results.Count;
}
for (i = ifrom; i < ito; i++)
{
if (Results[i].SKO > sko)
{
Results.Insert(i, cr);
added = true;
break;
}
}
//Results.Insert(i, cr);
//added = true;
break;
}
}
if (added == false && Results.Count < 2000)
{
Results.Add(cr);
}
while (Results.Count > 2000)
{
Results.RemoveAt(Results.Count - 1);
}
}
if ((redraw_count % 100) == 0)
{
This.Invoke(new MethodInvoker(UpdateLb));
}
redraw_count++;
Passed++;
pix += 3;
}
for (int i = 0; i < Results.Count; i++)
{
int pixel = Results[i].Pixel;
int s = Results[i].Sn;
for (int j = i + 1; j < Results.Count; j++)
{
if (s == Results[j].Sn && Math.Abs(pixel - Results[j].Pixel) < 10)
{
Results.RemoveAt(j);
j--;
}
}
}
}
This.Invoke(new MethodInvoker(UpdateLb));
MemoryStream ms = new MemoryStream();
BinaryWriter bw = new BinaryWriter(ms);
bw.Write(1);
bw.Write(Results.Count);
for (int i = 0; i < Results.Count; i++)
{
Results[i].Save(bw);
}
bw.Flush();
Formula.Formula.SeachBuffer = ms.GetBuffer();
}
catch (Exception ex)
{
Common.Log(ex);
}
finally
{
This.Invoke(new MethodInvoker(AfterThread));
}
}
public InputLinks()
{
InitializeComponent();
Disp = new Dispers();
}
public ExtraLineInfo(int sn, int pixel, Dispers disp, float ampl)
{
Ampl = ampl;
Ly = (float)disp.GetLyByLocalPixel(sn, pixel);
}
private void mmLineToPik_Click(object sender, EventArgs e)
{
try
{
bool result;
LastLinks = Disp.Compile(tbLinks.Text, true, out result);
//result = ApplyDispers();
//ApplyDispersDelProc();
//if (ApplyDispResult != 1)//
if (result == false)
{
MessageBox.Show(MainForm.MForm,
Common.MLS.Get(MLSConst, "Обнаружены ошибки. Их необходимо исправить."), //"Compilation error. Correct problem first."),
Common.MLS.Get(MLSConst, "Проблема"), //"Problem"),
MessageBoxButtons.OK,
MessageBoxIcon.Hand);
return;
}
Dispers disp = Disp;
Control.SelectSpectr();
if (SelectedMarker < 0)
{
return;
}
int s = 0;
if (sender == mmLineToPik1)
{
s = 0;
}
else
{
if (sender == mmLineToPik2)
{
s = 1;
}
else
{
if (sender == mmLineToPik3)
{
s = 2;
}
}
}
Spectr sp = GetSpectr(s);
if (sp == null)
{
return;
}
SpectrDataView view = sp.GetDefultView();
//Dispers disp = sp.GetCommonDispers();
int sn = LastLinks[SelectedMarker].Sn;
float[] data = view.GetSensorData(sn);
int pixel = (int)disp.GetLocalPixelByLy(sn, LastLinks[SelectedMarker].Ly);
try
{
if (data[pixel] < data[pixel + 1])
{
while (data[pixel] < data[pixel + 1])
{
pixel++;
}
}
else
{
if (data[pixel] < data[pixel - 1])
{
while (data[pixel] < data[pixel - 1])
{
pixel--;
}
}
}
}
catch { }
float nly = (float)disp.GetLyByLocalPixel(sn, pixel);
float gpixel = (float)disp.GetGlobalPixelByLy(sn, nly);
string text = (string)tbLinks.Text.Clone();
int from = tbLinks.SelectionStart;
int len = tbLinks.SelectionLength;
string txt1 = text.Substring(0, from);
string txt2 = text.Substring(from + len + 1);
text = txt1 + Math.Round(gpixel, 1) + "-" + Math.Round(gpixel, 2) + txt2;
//tbLinks.Text = text;
//SetupMarkers(false);
ApplyDispers();
}
catch (Exception ex) { Common.Log(ex); }
}
void GetData(SpectrDataView data, Dispers disp, OpticFk fk,
out int[] sn, out int[] pixel, out int[] vpixel, out float[] signal, out float[] sens)
{
int[] ss = disp.GetSensorSizes();
float[][] vals = data.GetFullDataNoClone();
int len = 0;
for (int s = 0; s < ss.Length; s++)
{
if (data.BlankStart != null)
{
len += data.BlankStart[s].Length;
}
if (data.BlankEnd != null)
{
len += data.BlankEnd[s].Length;
}
len += vals[s].Length;
}
sn = new int[len];
pixel = new int[len];
vpixel = new int[len];
signal = new float[len];
sens = new float[len];
int ind = 0;
for (int s = 0; s < ss.Length; s++)
{
int pix = 0;
int vpix = 0;
int l;
if (data.BlankStart != null)
{
l = data.BlankStart[s].Length;
for (int i = 0; i < l; i++, ind++, pix++)
{
sn[ind] = s;
pixel[ind] = pix;
vpixel[ind] = -1;
sens[ind] = 1;
signal[ind] = data.BlankStart[s][i];
}
}
l = vals[s].Length;
for (int i = 0; i < l; i++, ind++, pix++, vpix++)
{
sn[ind] = s;
pixel[ind] = pix;
vpixel[ind] = vpix;
signal[ind] = vals[s][i];
sens[ind] = 1;//fk.SensK[s][i];
}
if (data.BlankEnd != null)
{
l = data.BlankEnd[s].Length;
for (int i = 0; i < l; i++, ind++, pix++)
{
sn[ind] = s;
pixel[ind] = pix;
vpixel[ind] = -1;
sens[ind] = 1;
signal[ind] = data.BlankEnd[s][i];
}
}
}
}
static public List <DataShot> extract(MethodSimple method, string element, int formula,
double ly, int widthPlusMinus, bool useConDlt,
double min, double max, bool relative)
{
int mul_k = (int)Common.Conf.MultFactor;
int is_ok = 0;
int is_over = 0;
List <DataShot> ret = new List <DataShot>();
Element[] list = method.GetElementList();
for (int el = 0; el < list.Length; el++)
{
if (list[el].Name.Equals(element) || element == null)
{
MethodSimpleElementFormula calcFormula = method.GetElHeader(el).Formula[formula];
bool[] frames = calcFormula.Formula.GetUsedFrames();
for (int prob_index = 0; prob_index < method.GetProbCount(); prob_index++)
{
MethodSimpleProb prob = method.GetProbHeader(prob_index);
MethodSimpleCell msc = method.GetCell(el, prob_index);
if (useConDlt == false)
{
double fkVal = msc.Con;
double con = fkVal;
/*if (useConDlt)
* {
* double sko, sko1;
* double rcon = //msc.CalcRealCon(out sko, out sko1);
* fkVal -= rcon;
* }//*/
for (int measuring_index = 0; measuring_index < prob.MeasuredSpectrs.Count; measuring_index++)
{
MethodSimpleCellFormulaResult mscfr = msc.GetData(measuring_index, formula);
if (mscfr.Enabled == false)
{
continue;
}
MethodSimpleProbMeasuring mspm = prob.MeasuredSpectrs[measuring_index];
Spectr sp = mspm.Sp;
if (sp == null)
{
continue;
}
List <SpectrDataView> viewSet = sp.GetViewsSet();
int[] shotIndexes = sp.GetShotIndexes();
Dispers disp = sp.GetCommonDispers();
List <int> sensors = disp.FindSensors(ly);
bool isEnabled;
if (con >= 0)
{
isEnabled = msc.Enabled;
}
else
{
isEnabled = false;
}
for (int shot_index = 0; shot_index < shotIndexes.Length; shot_index++)
{
if (frames[shot_index] == false)
{
continue;
}
SpectrDataView sig = viewSet[shotIndexes[shot_index]];
SpectrDataView nul = sp.GetNullFor(shotIndexes[shot_index]);
for (int sn = 0; sn < 1 && sn < sensors.Count; sn++)
{
int sensorIndex = sensors[sn];
int n = (int)disp.GetLocalPixelByLy(sensorIndex, ly);
float[] sigData = sig.GetSensorData(sensorIndex);
float[] nulData = nul.GetSensorData(sensorIndex);
float minSignal = float.MaxValue;
float[] signal = new float[sigData.Length];
for (int i = 0; i < signal.Length; i++)
{
signal[i] = sigData[i] - nulData[i];
}
for (int i = 500; i < sigData.Length - 500; i++)
{
float val = (signal[i - 1] + signal[i] + signal[i + 1]) / 3;
if (val < minSignal)
{
minSignal = val;
}
}
float[] data = new float[widthPlusMinus * 2 + 1];
double maxSignal = -double.MaxValue;
for (int i = 0; i < data.Length; i++)
{
int index = n - widthPlusMinus + i;
if (index < 0 || index >= sigData.Length)
{
data[i] = -float.MaxValue;
isEnabled = false;
continue;
}
data[i] = signal[index];//sigData[index] - nulData[index];
if (data[i] > max)
{
isEnabled = false;
}
if (data[i] > maxSignal && i > widthPlusMinus - 4 && i < widthPlusMinus + 4)
{
maxSignal = data[i];
}
}
if (maxSignal < min)
{
isEnabled = false;
}
if (isEnabled)
{
is_ok++;
}
else
{
is_over++;
}
DataShot dsh = new DataShot(ly, fkVal, data, isEnabled);
ret.Add(dsh);
}
}
}
}
else
{
for (int measuring_index = 0; measuring_index < prob.MeasuredSpectrs.Count; measuring_index++)
{
MethodSimpleProbMeasuring mspm = prob.MeasuredSpectrs[measuring_index];
Spectr sp = mspm.Sp;
if (sp == null)
{
continue;
}
List <SpectrDataView> viewSet = sp.GetViewsSet();
int[] shotIndexes = sp.GetShotIndexes();
Dispers disp = sp.GetCommonDispers();
List <int> sensors = disp.FindSensors(ly);
bool isEnabled;
if (msc.Con >= 0)
{
isEnabled = msc.Enabled;
}
else
{
isEnabled = false;
}
MethodSimpleCellFormulaResult result = msc.GetData(measuring_index, formula);
int data_index = 0;
for (int shot_index = 0; shot_index < shotIndexes.Length; shot_index++)
{
if (frames[shot_index] == false)
{
continue;
}
double tmpAnalit = result.AnalitValue[data_index];
double fkVal;
if (relative == false)
{
fkVal = calcFormula.Formula.CalcCon(0, tmpAnalit, 0) - msc.Con;
}
else
{
if (msc.Con > 0.01)
{
fkVal = (calcFormula.Formula.CalcCon(0, tmpAnalit, 0) - msc.Con) / msc.Con;
}
else
{
fkVal = Double.NaN;
}
}
SpectrDataView sig = viewSet[shotIndexes[shot_index]];
SpectrDataView nul = sp.GetNullFor(shotIndexes[shot_index]);
for (int sn = 0; sn < sensors.Count; sn++)
{
int sensorIndex = sensors[sn];
int n = (int)disp.GetLocalPixelByLy(sensorIndex, ly);
float[] sigData = sig.GetSensorData(sensorIndex);
float[] nulData = nul.GetSensorData(sensorIndex);
float[] data = new float[widthPlusMinus * 2 + 1];
for (int i = 0; i < data.Length; i++)
{
int index = n - widthPlusMinus + i;
if (index < 0 || index >= sigData.Length)
{
data[i] = -float.MaxValue;
isEnabled = false;
continue;
}
data[i] = sigData[index] - nulData[index];
if (data[i] > max)
{
isEnabled = false;
}
}
if (isEnabled)
{
is_ok++;
}
else
{
is_over++;
}
DataShot dsh = new DataShot(ly, fkVal, data, isEnabled);
ret.Add(dsh);
}
data_index++;
}
}
}
}
break;
}
}
if (is_ok == 0 || is_over / is_ok > 0.1)
{
return(null);
}
return(ret);
}
private void btCallectSpaces_Click(object sender, EventArgs e)
{
try
{
EmptySpaces.Clear();
//ExceptionLy.Clear();
Dispers d = null;
int pr_count = Method.GetProbCount();
int[] ss = Common.Dev.Reg.GetSensorSizes();
int[][] founds = new int[ss.Length][];
for (int i = 0; i < ss.Length; i++)
{
founds[i] = new int[ss[i]];
}
int side = (int)nmMinLineWidth.Value / 2;
for (int pr = 0; pr < pr_count; pr++)
{
MethodSimpleProb msp = Method.GetProbHeader(pr);
int sp_count = msp.MeasuredSpectrs.Count;
for (int sp = 0; sp < sp_count; sp++)
{
MethodSimpleProbMeasuring mspm = msp.MeasuredSpectrs[sp];
Spectr spectr = mspm.Sp;
if (spectr.IsEmpty())
{
continue;
}
int[] view = mspm.Sp.GetShotIndexes();
List <SpectrDataView> views = mspm.Sp.GetViewsSet();
int sum = side * 2 + 2;
for (int vi = 0; vi < view.Length; vi++)
{
SpectrDataView cur_view = views[view[vi]];
float max_level = cur_view.MaxLinarLevel;
SpectrDataView nul_view = mspm.Sp.GetNullFor(view[vi]);
d = spectr.GetCommonDispers();//cur_view.GetDispersRO();
for (int sn = 0; sn < ss.Length; sn++)
{
float[] sig = cur_view.GetSensorData(sn);
float[] nul = nul_view.GetSensorData(sn);
float[] data = new float[sig.Length];
for (int pix = 0; pix < data.Length; pix++)
{
data[pix] = sig[pix] - nul[pix];
}
int len = ss[sn] - 10;
float min = 0;
for (int pix = 0; pix < 10; pix++)
{
min += data[pix];
}
for (int pix = 0; pix < len; pix++)
{
float tmp = 0;
for (int j = pix; j < pix + 10; j++)
{
tmp += data[j];
}
if (tmp < min)
{
min = tmp;
}
}
len = ss[sn] - side - 3;
min /= 10;
min *= 3;
int left = 0;
int right = 0;
for (int pix = side + 3; pix < len; pix++)
{
if (isLine(data, len + side + 1, pix, max_level, side, sum, ref left, ref right))
{
for (int i = pix - left; i <= pix + right; i++)
{
founds[sn][i]++;
}
pix += right;
}
}
}
}
}
}
for (int sn = 0; sn < ss.Length; sn++)
{
int margin_before = (int)nmMargine.Value;
int len = 0;
int pix_from = 0;
for (int pix = 0; pix < ss[sn]; pix++)
{
if (founds[sn][pix] <= 1 && pix < ss[sn] - 1)
{
if (margin_before > 0)
{
margin_before--;
pix_from = pix;
}
else
{
len++;
}
}
else
{
len -= (int)nmMargine.Value;
if (len >= nmMinFreeSpaceSize.Value)
{
float[] es = { 1, (float)d.GetLyByLocalPixel(sn, pix_from),
(float)d.GetLyByLocalPixel(sn, pix - (int)nmMargine.Value), len };
EmptySpaces.Add(es);
}
margin_before = (int)nmMargine.Value;
len = 0;
}
}
}
ReInitList();
}
catch (Exception ex)
{
Common.Log(ex);
}
}