//响应点计算
public ActionResult ResponsePointCalculate(double fq, double favg, double fsigma, int langlryExpTableId)
{
LangleyExperimentTable langlryExpTable = dbDrive.GetLangleyExperimentTable(langlryExpTableId);
var lr = LangleyPublic.SelectState(langlryExpTable);
return(Json(lr.ResponsePointCalculate(fq, favg, fsigma).ToString("f6")));
}
// GET: LangleyExperiment
public ActionResult LangleyExperiment(int let_id)
{
LangleyExperimentTable langlryExpTable = dbDrive.GetLangleyExperimentTable(let_id);
ViewData["langlryExpTableId"] = langlryExpTable.let_Id;
ViewData["langLeyStringName"] = langlryExpTable.let_ProductName;
ViewData["langLeyNameString"] = LangleyPublic.DistributionState(langlryExpTable) + "/" + LangleyPublic.Correction(langlryExpTable.let_Correction);
return(View());
}
//撤销
public ActionResult RevocationData(int id, int langlryExpTableId)
{
LangleyDataTable langleyDataTable = new LangleyDataTable();
List <LangleyDataTable> langleyDataTables = dbDrive.GetAllLangleyDataTable(langlryExpTableId);
langleyDataTable.ldt_Id = langleyDataTables[langleyDataTables.Count - 1].ldt_Id;
bool isTure = dbDrive.Delete(langleyDataTable);
var xOrVArray = LangleyPublic.XAndVArrays(langleyDataTables);
string[] value = { isTure.ToString(), (xOrVArray.xArray.Length - 1).ToString(), xOrVArray.xArray[xOrVArray.xArray.Length - 2].ToString() };
return(Json(value));
}
//批量区间估计
public ActionResult BatchIntervalCalculation(double BatchConfidenceLevel, double yMin, double yMax, int Y_Axis, int intervalTypeSelection, double favg, double fsigma, int langlryExpTableId)
{
LangleyExperimentTable langlryExpTable = dbDrive.GetLangleyExperimentTable(langlryExpTableId);
List <LangleyDataTable> ldts = dbDrive.GetAllLangleyDataTable(langlryExpTable.let_Id);
ldts.RemoveRange(ldts.Count - 1, 1);
var xOrVArray = LangleyPublic.XAndVArrays(ldts);
xOrVArray.vArray = LangleyPublic.IsFlipTheResponse(langlryExpTable, xOrVArray.vArray);
var lr = LangleyPublic.SelectState(langlryExpTable);
var srd = lr.BatchIntervalCalculate(yMax, yMin, Y_Axis, BatchConfidenceLevel, favg, fsigma, xOrVArray.xArray, xOrVArray.vArray, intervalTypeSelection);
LangleyPublic.sideReturnData = srd;
LangleyPublic.aArray.Clear();
LangleyPublic.bArray.Clear();
LangleyPublic.cArray.Clear();
double ceiling = srd.responsePoints.Min();
double lower = srd.responsePoints.Max();
for (int i = 0; i < srd.responseProbability.Length; i++)
{
LangleyPublic.aArray.Add("[" + srd.responsePoints[i] + "," + srd.responseProbability[i] + "]");
if (double.IsInfinity(srd.Y_Ceilings[i]))
{
LangleyPublic.bArray.Add("[" + lower + "," + srd.responseProbability[i] + "]");
}
else
{
LangleyPublic.bArray.Add("[" + srd.Y_Ceilings[i] + "," + srd.responseProbability[i] + "]");
}
if (double.IsInfinity(srd.Y_LowerLimits[i]))
{
LangleyPublic.cArray.Add("[" + ceiling + "," + srd.responseProbability[i] + "]");
}
else
{
LangleyPublic.cArray.Add("[" + srd.Y_LowerLimits[i] + "," + srd.responseProbability[i] + "]");
}
}
if (intervalTypeSelection == 0)
{
LangleyPublic.incredibleIntervalType = "拟然比区间计算-单侧置信区间";
}
else
{
LangleyPublic.incredibleIntervalType = "拟然比区间计算-双侧置信区间";
}
LangleyPublic.incredibleLevelName = BatchConfidenceLevel.ToString();
return(Json(true));
}
public ActionResult PointCalculate(int langlryExpTableId)
{
LangleyExperimentTable langlryExpTable = dbDrive.GetLangleyExperimentTable(langlryExpTableId);
List <LangleyDataTable> ldts = dbDrive.GetAllLangleyDataTable(langlryExpTable.let_Id);
ldts.RemoveRange(ldts.Count - 1, 1);
var xOrVArray = LangleyPublic.XAndVArrays(ldts);
var lr = LangleyPublic.SelectState(langlryExpTable);
LangleyDataTable langleyDataTable = LangleyPublic.UpdateLangleyDataTable(langlryExpTable, lr, xOrVArray.xArray, xOrVArray.vArray, ldts[ldts.Count - 1]);
langleyDataTable.ldt_Mean = double.Parse(langleyDataTable.ldt_Mean.ToString("f13"));
string[] value = { lr.Precs(langleyDataTable.ldt_Mean, langleyDataTable.ldt_StandardDeviation)[0].ToString("f6"), lr.Precs(langleyDataTable.ldt_Mean, langleyDataTable.ldt_StandardDeviation)[1].ToString("f6"), langleyDataTable.ldt_Mean.ToString("f6"), langleyDataTable.ldt_StandardDeviation.ToString("f6"), lr.GetConversionNumber(xOrVArray.vArray), (xOrVArray.xArray.Length).ToString(), lr.GetNM(xOrVArray.xArray, xOrVArray.vArray) };
dbDrive.Update(langleyDataTable);
return(Json(value));
}
public ActionResult ResponsePointIntervalEstimate(double reponseProbability2, double confidenceLevel2, double cjl, double favg, double fsigma, int langlryExpTableId)
{
LangleyExperimentTable langlryExpTable = dbDrive.GetLangleyExperimentTable(langlryExpTableId);
List <LangleyDataTable> ldts = dbDrive.GetAllLangleyDataTable(langlryExpTable.let_Id);
ldts.RemoveRange(ldts.Count - 1, 1);
var xOrVArray = LangleyPublic.XAndVArrays(ldts);
xOrVArray.vArray = LangleyPublic.IsFlipTheResponse(langlryExpTable, xOrVArray.vArray);
var lr = LangleyPublic.SelectState(langlryExpTable);
var ies = lr.ResponsePointIntervalEstimate(xOrVArray.xArray, xOrVArray.vArray, reponseProbability2, confidenceLevel2, cjl, favg, fsigma);
string[] value = { "(" + ies[0].Confidence.Down.ToString("f6") + "," + ies[0].Confidence.Up.ToString("f6") + ")", "(" + ies[0].Mu.Down.ToString("f6") + "," + ies[0].Mu.Up.ToString("f6") + ")", "(" + ies[0].Sigma.Down.ToString("f6") + "," + ies[0].Sigma.Up.ToString("f6") + ")", "(" + ies[1].Confidence.Down.ToString("f6") + "," + ies[1].Confidence.Up.ToString("f6") + ")", "(" + ies[1].Mu.Down.ToString("f6") + "," + ies[1].Mu.Up.ToString("f6") + ")", "(" + ies[1].Sigma.Down.ToString("f6") + "," + ies[1].Sigma.Up.ToString("f6") + ")" };
return(Json(value));
}
//名称、时间查询
public ActionResult Langley_query(string productName, string startTime, string endTime)
{
List <LangleyExperimentTable> lets = new List <LangleyExperimentTable>();
if (startTime != "" && endTime != "")
{
DateTime st = Convert.ToDateTime(startTime);
DateTime et = Convert.ToDateTime(endTime);
lets = dbDrive.QueryLangleyExperimentTable(productName, st, et.AddDays(1), LangleyPublic.adminId);
}
else
{
lets = dbDrive.QueryLangleyExperimentTable(productName, LangleyPublic.adminId);
}
return(Json(new { code = 0, msg = "", count = lets.Count, data = LangleyPublic.Langley_lists(dbDrive, lets) }, JsonRequestBehavior.AllowGet));
}
public ActionResult InsertData(string response, string sq, int langlryExpTableId)
{
LangleyExperimentTable langlryExpTable = dbDrive.GetLangleyExperimentTable(langlryExpTableId);
List <LangleyDataTable> langleyDataTables = dbDrive.GetAllLangleyDataTable(langlryExpTable.let_Id);
var xOrVArray = LangleyPublic.XAndVArrays(langleyDataTables);
if (sq != null && sq != "")
{
xOrVArray.xArray[langleyDataTables.Count - 1] = double.Parse(sq);
}
if (response != null && response != "")
{
xOrVArray.vArray[langleyDataTables.Count - 1] = int.Parse(response);
}
else
{
xOrVArray.vArray[langleyDataTables.Count - 1] = 0;
}
var lr = LangleyPublic.SelectState(langlryExpTable);
dbDrive.Update(LangleyPublic.UpdateLangleyDataTable(langlryExpTable, lr, xOrVArray.xArray, xOrVArray.vArray, langleyDataTables[langleyDataTables.Count - 1]));
//增加一条新数据
double StimulusQuantity = lr.CalculateStimulusQuantity(xOrVArray.xArray, xOrVArray.vArray, langlryExpTable.let_StimulusQuantityCeiling, langlryExpTable.let_StimulusQuantityFloor, langlryExpTable.let_PrecisionInstruments);
var isTrue = dbDrive.Insert(LangleyPublic.LangleyDataTables(langlryExpTableId, dbDrive, double.Parse(StimulusQuantity.ToString("f6"))));
var xOrVArray2 = LangleyPublic.XAndVArrays(dbDrive.GetAllLangleyDataTable(langlryExpTable.let_Id));
xOrVArray2.vArray = LangleyPublic.IsFlipTheResponse(langlryExpTable, xOrVArray2.vArray);
if (langlryExpTable.let_FlipTheResponse == 1)
{
for (int i = 0; i < xOrVArray2.vArray.Length - 1; i++)
{
if (xOrVArray2.vArray[i] == 0)
{
xOrVArray2.vArray[i] = 1;
}
else
{
xOrVArray2.vArray[i] = 0;
}
}
}
string[] value = { isTrue.ToString(), (xOrVArray2.xArray.Length - 1).ToString(), lr.GetNM(xOrVArray2.xArray, xOrVArray2.vArray), StimulusQuantity.ToString() };
return(Json(value));
}
public JsonResult LanglieParameterSettingsJson()
{
double[] xArray = new double[] { };
int[] vArray = new int[] { };
var str = new StreamReader(Request.InputStream);
var stream = str.ReadToEnd();
JavaScriptSerializer js = new JavaScriptSerializer();
LangleyExperimentTable let = js.Deserialize <LangleyExperimentTable>(stream);
let.let_RecordEmployeeId = LangleyPublic.adminId;
let.let_ExperimentalDate = DateTime.Now;
dbDrive.Insert(let);
double sq = LangleyPublic.SelectState(let).CalculateStimulusQuantity(xArray, vArray, let.let_StimulusQuantityCeiling, let.let_StimulusQuantityFloor, let.let_PrecisionInstruments);
bool isTure = dbDrive.Insert(LangleyPublic.LangleyDataTables(let.let_Id, dbDrive, sq));
string name = let.let_ProductName;
string[] value = { isTure.ToString(), let.let_Id.ToString(), name };
return(Json(value));
}
//获取let_id全部兰利法表并分页显示
public ActionResult GetAllLangleys(int id, int page = 1, int limit = 20)
{
LangleyExperimentTable langlryExpTable = dbDrive.GetLangleyExperimentTable(id);
List <LangleyDataTable> ldts = dbDrive.GetAllLangleyDataTable(id);
List <LangleyDataTable> PagesLdt = new List <LangleyDataTable>();
int last = ldts.Count - (page - 1) * limit;
int first = 0;
if (page * limit < ldts.Count)
{
first = ldts.Count - page * limit;
}
for (int i = first; i < last; i++)
{
PagesLdt.Add(ldts[i]);
}
if (page == 1)
{
PagesLdt.RemoveRange(PagesLdt.Count - 1, 1);
}
return(Json(new { code = 0, msg = "", count = ldts.Count - 1, data = LangleyPublic.Langleys(langlryExpTable, PagesLdt, first, ldts.Count) }, JsonRequestBehavior.AllowGet));
}
//修改分析参数
public JsonResult UpdateParameter()
{
var str = new StreamReader(Request.InputStream);
var stream = str.ReadToEnd();
JavaScriptSerializer js = new JavaScriptSerializer();
LangleyExperimentTable let = dbDrive.GetLangleyExperimentTable(js.Deserialize <LangleyExperimentTable>(stream).let_Id);
let.let_DistributionState = js.Deserialize <LangleyExperimentTable>(stream).let_DistributionState;
let.let_Correction = js.Deserialize <LangleyExperimentTable>(stream).let_Correction;
dbDrive.Update(let);
List <LangleyDataTable> ldts = dbDrive.GetAllLangleyDataTable(let.let_Id);
ldts.RemoveRange(ldts.Count - 1, 1);
var xOrVArray = LangleyPublic.XAndVArrays(ldts);
var lr = LangleyPublic.SelectState(let);
LangleyDataTable langleyDataTable = new LangleyDataTable();
bool isTure = false;
for (int i = 1; i <= ldts.Count; i++)
{
double[] xArray = new double[i];
int[] vArray = new int[i];
for (int j = 0; j < i; j++)
{
xArray[j] = xOrVArray.xArray[j];
vArray[j] = xOrVArray.vArray[j];
}
langleyDataTable = LangleyPublic.UpdateLangleyDataTable(let, lr, xArray, vArray, ldts[i - 1]);
isTure = dbDrive.Update(langleyDataTable);
if (isTure == false)
{
break;
}
}
string[] value = { isTure.ToString(), lr.Precs(langleyDataTable.ldt_Mean, langleyDataTable.ldt_StandardDeviation)[0].ToString("f6"), lr.Precs(langleyDataTable.ldt_Mean, langleyDataTable.ldt_StandardDeviation)[1].ToString("f6"), langleyDataTable.ldt_Mean.ToString("f6"), langleyDataTable.ldt_StandardDeviation.ToString("f6") };
return(Json(value));
}
//获取全部的兰利法实验并分页显示(前台带参访问)
public ActionResult GetAllLangleysExperiment(int page = 1, int limit = 20)
{
List <LangleyExperimentTable> lets = dbDrive.GetAllLangleyExperimentTables(LangleyPublic.adminId);
List <LangleyExperimentTable> PagesLet = new List <LangleyExperimentTable>();
int last = lets.Count - (page - 1) * limit;
int first = 0;
if (page * limit < lets.Count)
{
first = lets.Count - page * limit;
}
for (int i = first; i < last; i++)
{
PagesLet.Add(lets[i]);
}
return(Json(new { code = 0, msg = "", fenye = 5, count = lets.Count, data = LangleyPublic.Langley_lists(dbDrive, PagesLet, first) }, JsonRequestBehavior.AllowGet));
}
public static string LangleyFreeSpireExcel(LangleyExperimentTable langlryExpTable, List <LangleyDataTable> ldts)
{
var lr = LangleyPublic.SelectState(langlryExpTable);
ldts.RemoveRange(ldts.Count - 1, 1);
var xOrVArray = LangleyPublic.XAndVArrays(ldts);
Workbook book = new Workbook();
Worksheet sheet = book.Worksheets[0];
var iCellcount = 1;
//1.设置表头
sheet.Range[1, iCellcount++].Text = "兰利法感度试验数据记录及处理结果";
sheet.Range["A1:H1"].Merge();
sheet.Range["A1:H1"].Style.HorizontalAlignment = HorizontalAlignType.Center;
sheet.Range["E2"].Text = "打印时间";
sheet.Range["F2:H2"].Text = DateTime.Now.ToString("yyyy-MM-dd");
sheet.Range["F2:H2"].Merge();
sheet.Range["A3"].Text = "样本名称";
sheet.Range["B3:D3"].Text = langlryExpTable.let_ProductName;
sheet.Range["B3:D3"].Merge();
sheet.Range["E3"].Text = "试验时间";
sheet.Range["F3:H3"].Text = langlryExpTable.let_ExperimentalDate.ToString("yyyy-MM-dd HH:mm");
sheet.Range["F3:H3"].Merge();
sheet.Range["A4"].Text = "实验数量";
sheet.Range["B4"].Text = ldts.Count.ToString();
sheet.Range["C4"].Text = "分辨率";
sheet.Range["D4"].Text = langlryExpTable.let_PrecisionInstruments.ToString();
sheet.Range["E4"].Text = "发布选择";
sheet.Range["F4:H4"].Text = LangleyPublic.DistributionState(langlryExpTable);
sheet.Range["F4:H4"].Merge();
sheet.Range["A5"].Text = "刺激量上限";
sheet.Range["B5"].Text = langlryExpTable.let_StimulusQuantityCeiling.ToString();
sheet.Range["C5"].Text = "刺激量下限";
sheet.Range["D5"].Text = langlryExpTable.let_StimulusQuantityFloor.ToString();
sheet.Range["E5"].Text = "标准差修正";
sheet.Range["F5"].Text = langlryExpTable.let_Correction == 0 ? "是" : "否";
sheet.Range["G5"].Text = "翻转响应";
sheet.Range["H5"].Text = langlryExpTable.let_FlipTheResponse == 1 ? "是" : "否";
sheet.Range["A6"].Text = "技术条件";
sheet.Range["B6:H6"].Text = langlryExpTable.let_TechnicalConditions;
sheet.Range["B6:H6"].Merge();
if (langlryExpTable.let_FlipTheResponse == 0)
{
if (langlryExpTable.let_Correction == 1)
{
sheet.Range["A7:H7"].Text = "标记：发火：“1”，不发火：“0” 点估计标准差计算结果为最大拟然估计结果";
}
else
{
sheet.Range["A7:H7"].Text = "标记：发火：“1”，不发火：“0” 点估计标准差计算结果为按照GJB377修正结果";
}
}
else
if (langlryExpTable.let_Correction == 1)
{
sheet.Range["A7:H7"].Text = "标记：发火：“0”，不发火：“1” 点估计标准差计算结果为最大拟然估计结果";
}
else
{
sheet.Range["A7:H7"].Text = "标记：发火：“0”，不发火：“1” 点估计标准差计算结果为按照GJB377修正结果";
}
TableHead(sheet);
int count = 9;
for (int i = 0; i < ldts.Count; i++)
{
sheet.Range["A" + count + ""].Text = (i + 1).ToString();
sheet.Range["B" + count + ":C" + count + ""].Text = ldts[i].ldt_StimulusQuantity.ToString();
sheet.Range["B" + count + ":C" + count + ""].Merge();
sheet.Range["D" + count + ""].Text = ldts[i].ldt_Response.ToString();
sheet.Range["E" + count + ":F" + count + ""].Text = ldts[i].ldt_Mean.ToString();
sheet.Range["E" + count + ":F" + count + ""].Merge();
sheet.Range["G" + count + ":H" + count + ""].Text = ldts[i].ldt_StandardDeviation.ToString();
sheet.Range["G" + count + ":H" + count + ""].Merge();
count++;
}
sheet.Range["A" + count + ""].Text = "点估计：";
sheet.Range["B" + count + ":D" + count + ""].Text = "均值：" + ldts[ldts.Count - 1].ldt_Mean + "";
sheet.Range["B" + count + ":D" + count + ""].Merge();
sheet.Range["E" + count + ":H" + count + ""].Text = "标准差：" + ldts[ldts.Count - 1].ldt_StandardDeviation + "";
sheet.Range["E" + count + ":H" + count + ""].Merge();
count++;
var ignition99 = LangleyIgnition(ldts, lr, 0.99);
var ignition1 = LangleyIgnition(ldts, lr, 0.01);
var ignition999 = LangleyIgnition(ldts, lr, 0.999);
var ignition01 = LangleyIgnition(ldts, lr, 0.001);
var ignition9999 = LangleyIgnition(ldts, lr, 0.9999);
var ignition001 = LangleyIgnition(ldts, lr, 0.0001);
count = PointCalculation(count, ignition99, ignition1, ignition999, ignition01, ignition9999, ignition001, sheet);
var ie = lr.GetIntervalEstimationValue(lr.DoubleSideEstimation(xOrVArray.xArray, xOrVArray.vArray, 0.999, 0.8));
var ie01 = lr.GetIntervalEstimationValue(lr.DoubleSideEstimation(xOrVArray.xArray, xOrVArray.vArray, 0.001, 0.8));
count = IntervalEstimation(count, sheet, ie, ie01, 0.8);
ie = lr.GetIntervalEstimationValue(lr.DoubleSideEstimation(xOrVArray.xArray, xOrVArray.vArray, 0.999, 0.95));
ie01 = lr.GetIntervalEstimationValue(lr.DoubleSideEstimation(xOrVArray.xArray, xOrVArray.vArray, 0.001, 0.95));
count = IntervalEstimation(count, sheet, ie, ie01, 0.95);
ie = lr.GetIntervalEstimationValue(lr.DoubleSideEstimation(xOrVArray.xArray, xOrVArray.vArray, 0.999, 0.99));
ie01 = lr.GetIntervalEstimationValue(lr.DoubleSideEstimation(xOrVArray.xArray, xOrVArray.vArray, 0.001, 0.99));
count = IntervalEstimation(count, sheet, ie, ie01, 0.99);
sheet.Range["A3:H" + count + ""].BorderInside(LineStyleType.Thin, Color.Black);
sheet.Range["A3:H" + count + ""].BorderAround(LineStyleType.Medium, Color.Black);
count++;
sheet.Range["B" + count + ""].Text = "复查人";
sheet.Range["F" + count + ""].Text = "试验人";
//设置行宽
sheet.Range["A1:H1"].RowHeight = 20;
var strFullName = @"C:\兰利法\" + "兰利法" + DateTime.Now.ToString("yyyy-MM-dd-HH-mm-ss") + ".xlsx";
book.SaveToFile(strFullName, ExcelVersion.Version2010);
return(strFullName);
}