public void AddSpec(Specs s)
{
if (s == null || s.Spec == null || s.ID < 1)
{
return;
}
if (this._maxNum < 1)
{
return;
}
try
{
var spec = s.Spec.Clone();
spec.Components = new ComponentList();
spec.Components.Add(new Component()
{
Name = "ID", ActualValue = s.ID
});
Action a = () =>
{
this._model.LibBase.Add(spec);
this._model.Train(this._model.LibBase.Clone());
if (this._model.LibBase.Specs.Count > this._maxNum)
{
this._model.LibBase.RemoveAt(0);
}
this._model.Save();
};
a.BeginInvoke(null, null);
}
catch (Exception ex)
{
}
}
public bool Predict(ref Specs s)
{
if (s == null || s.Spec == null)
{
return(false);
}
if (this._maxNum < 1)
{
return(false);
}
try
{
if (this._model == null || this._model.SpecLib == null || this._model.SpecLib.Count < 1)
{
return(false);
}
var r = this._model.Predict(s.Spec);
if (!r.IsId)
{
return(false);
}
if (r.Items.Length < 1 || !r.Items.First().Spec.Components.Contains("ID"))
{
return(false);
}
int dbID = (int)r.Items.First().Spec.Components["ID"].ActualValue;
if (dbID < 1)
{
return(false);
}
using (var db = new NIRCeneterEntities())
{
var dsepc = db.Specs.Where(d => d.ID == dbID).FirstOrDefault();
if (dsepc == null)
{
return(false);
}
s.Result = dsepc.Result;
s.ResultObj = dsepc.ResultObj;
s.ResultType = dsepc.ResultType;
s.Spec.Components = dsepc.Spec.Components;
s.PredictByA = true;
//修改密度的值
var c = s.Spec.Components.Where(d => d.Name == "密度(20℃)").FirstOrDefault();
if (c != null)
{
Random rd = new Random();
c.PredictedValue = c.PredictedValue * (1 + 0.0008 * (0.5 - rd.NextDouble()));
}
}
return(true);
}
catch (Exception ex)
{
}
return(false);
}
/// <summary>
/// API 2，根据混兑比例和切割方案获取数据
/// </summary>
/// <param name="s"></param>
/// <returns></returns>
private OilInfoBEntity getByRate(Specs s, BindResult pr, ref List <PropertyTable> result)
{
var r = pr.GetResult <FittingResult>();
if (r != null)
{
var oilApplyBll = new OilApplyAPIBll();
//切割比率
var cutOilRates = new List <CutOilRateEntity>();
foreach (var l in r.Specs)
{
cutOilRates.Add(new CutOilRateEntity()
{
crudeIndex = l.Spec.UUID,
rate = (float)(l.Rate * 100)
});
}
var cuts = new List <CutMothedAPIEntity>();
foreach (var t in this._initP)
{
if (t.Table == PropertyType.NIR)
{
continue;
}
cuts.Add(new CutMothedAPIEntity()
{
ICP = (int)t.BoilingStart,
ECP = (int)t.BoilingEnd,
Name = this.convertEnum(t.Table)
});
}
try
{
log.Info(string.Join(";", cutOilRates.Select(d => string.Format("{0},{1}", d.crudeIndex, d.rate))));
log.Info(string.Join(";", cuts.Select(d => string.Format("ICP={0},ECP={1},Name={2}", d.ICP, d.ECP, d.Name))));
var oil = oilApplyBll.GetCutResultAPI(cutOilRates, cuts);
if (oil != null)
{
var lst = oil.OilDataTableBAPIEntityList;
convertEntity(lst, ref result, IntegrateModel.GetConfidence(r.TQ, r.MinTQ, r.SQ, r.MinSQ));
}
return(oil);
}
catch (Exception ex)
{
log.Error(ex.ToString());
}
}
return(null);
}
/// <summary>
/// API 1，根据原油名称的切割方案获取数据
/// </summary>
/// <param name="s"></param>
/// <returns></returns>
private OilInfoBEntity getByName(Specs s, BindResult pr, ref List <PropertyTable> result)
{
var r = pr.GetResult <IdentifyResult>();
if (r != null)
{
OilInfoBEntity oil = new OilInfoBEntity(); //新建一条原油
var oilApplyBll = new OilApplyAPIBll();
var cuts = new List <CutMothedAPIEntity>();
foreach (var t in this._initP)
{
if (t.Table == PropertyType.NIR)
{
continue;
}
cuts.Add(new CutMothedAPIEntity()
{
ICP = (int)t.BoilingStart,
ECP = (int)t.BoilingEnd,
Name = this.convertEnum(t.Table)
});
}
try
{
log.Info(r.Items.First().Spec.UUID);
log.Info(string.Join(";", cuts.Select(d => string.Format("ICP={0},ECP={1},Name={2}", d.ICP, d.ECP, d.Name))));
oil = oilApplyBll.GetCutResultAPI(r.Items.First().Spec.UUID, cuts);
if (oil != null)
{
var lst = oil.OilDataTableBAPIEntityList;
convertEntity(lst, ref result, IntegrateModel.GetConfidence(r.Items.First().TQ, r.MinTQ, r.Items.First().SQ, r.MinSQ));
//写入值信度
}
else
{
log.ErrorFormat("GetCutResultAPI({0})", r.Items.First().Spec.UUID);
}
return(oil);
}
catch (Exception ex)
{
log.Error(ex.ToString());
}
}
return(null);
}
private OilInfoBEntity getByProperties(Specs s, BindResult pr, ref List <PropertyTable> result)
{
var ps = this.getPropertyByNIR(pr);
if (ps != null)
{
var oilApplyBll = new OilApplyAPIBll();
var cuts = new List <CutMothedAPIEntity>();
foreach (var t in this._initP)
{
if (t.Table == PropertyType.NIR)
{
continue;
}
cuts.Add(new CutMothedAPIEntity()
{
ICP = (int)t.BoilingStart,
ECP = (int)t.BoilingEnd,
Name = this.convertEnum(t.Table)
});
}
try
{
log.Info(string.Join(";", cuts.Select(d => string.Format("ICP={0},ECP={1},Name={2}", d.ICP, d.ECP, d.Name))));
var oil = oilApplyBll.GetCutResultAPI(ps, cuts);
if (oil != null)
{
var lst = oil.OilDataTableBAPIEntityList;
convertEntity(lst, ref result, 90);
}
return(oil);
}
catch (Exception ex)
{
log.Error(ex.ToString());
}
}
return(null);
}
public static bool WriteToFile(Specs s, List <PropertyTable> initP, string fullPath, string dataDescription)
{
if (s == null || s.Spec == null)
{
return(false);
}
StringBuilder sb = new StringBuilder();
sb.AppendLine(string.Format("数据描述：{0}", dataDescription));
sb.AppendLine("分析方法：原油近红外快速评价.met");
sb.AppendLine(string.Format("采样时间：{0}", s.SampleTime.HasValue ? s.SampleTime.Value.ToString("yyyy-MM-dd HH:mm:ss") : ""));
sb.AppendLine(string.Format("采样点：{0}", s.SamplePlace));
sb.AppendLine(string.Format("样品名称：{0}", s.Spec.Name));
sb.AppendLine(string.Format("分析时间：{0}", s.AnalyTime.HasValue ? s.AnalyTime.Value.ToString("yyyy-MM-dd HH:mm:ss") : ""));
sb.AppendLine(string.Format("分析者：{0}", s.User != null ? s.User.realName : ""));
sb.AppendLine(string.Format("数据文件：{0}", fullPath));
sb.AppendLine("");
sb.AppendLine("数据描述\t性质\t单位\t数值\t置信度");
var dlstStr = new List <string>();
foreach (var t in s.OilData)
{
var initTable = initP == null ? null : initP.Where(d => d.Table == t.Table).FirstOrDefault();
IOrderedEnumerable <PropertyEntity> lst;
if (initTable != null)
{
lst = t.Datas.Where(d => initTable.Datas.Where(b => b.Name == d.Name && b.Name2 == d.Name2 && b.ShowEngineer == true && b.ShowRIPP == true && !double.IsNaN(d.Value)).Count() > 0).OrderBy(d => d.ColumnIdx).ThenBy(d => d.Index);
}
else
{
lst = t.Datas.Where(d => !double.IsNaN(d.Value)).OrderBy(d => d.ColumnIdx).ThenBy(d => d.Index);
}
//lst.Where(d=>d.ShowRIPP&&d.ShowEngineer)
if (t.Table == PropertyType.NIR)
{
dlstStr.AddRange(lst.Select(d => string.Format("{0}\t{1}\t{2}\t{3}\t{4}",
dataDescription,
d.Name == d.Name2 ? d.Name : (d.Name + d.Name2),
d.Unit,
d.Value.ToString(string.Format("F{0}", d.Eps)),
d.Confidence.ToString("F1")
)));
}
else
{
dlstStr.AddRange(lst.Select(d => string.Format("{0}\t{1}\t{2}\t{3}\t{4}",
dataDescription,
t.Table.GetDescription() + (d.Name == d.Name2 ? d.Name : (d.Name + d.Name2)),
d.Unit,
d.Value.ToString(string.Format("F{0}", d.Eps)),
d.Confidence.ToString("F1")
)));
}
}
foreach (var sin in dlstStr)
{
sb.AppendLine(sin);
}
using (StreamWriter sw = new StreamWriter(fullPath, false, Encoding.Default))
{
sw.Write(sb.ToString());
}
return(true);
}
public List <PropertyTable> GetData(Specs s, BindModel predictor)
{
using (var db = new NIRCeneterEntities())
{
var r = s.OilData;
if (r != null)
{
return(r);
}
if (s == null || s.ResultObj == null)
{
return(null);
}
var pr = s.ResultObj;
if (s.ResultObj.MethodType == PredictMethod.Integrate && predictor != null)
{
var papi = predictor.PredictForAPI(s.Spec, true);
if (papi.MethodType == PredictMethod.Fitting || papi.MethodType == PredictMethod.Identify)
{
pr = papi;
}
}
r = Serialize.DeepClone <List <PropertyTable> >(this._initP);
OilInfoBEntity oil = null;
switch (pr.MethodType)
{
case NIR.Models.PredictMethod.Identify:
oil = getByName(s, pr, ref r);
break;
case NIR.Models.PredictMethod.Fitting:
oil = getByRate(s, pr, ref r);
break;
case NIR.Models.PredictMethod.PLSBind:
oil = getByProperties(s, pr, ref r);
break;
default:
break;
}
GetNIRData(s, oil, ref r);
if (oil != null)
{
r = r.OrderBy(d => (int)d.Table).ToList();
db.OilData.AddObject(new OilData()
{
SID = s.ID,
Data = Serialize.ObjectToByte(r)
});
db.SaveChanges();
}
else
{
foreach (var t in r)
{
foreach (var dd in t.Datas)
{
if (dd.Value == 0)
{
dd.Value = double.NaN;
}
}
}
}
return(r);
}
}
public static void GetNIRData(Specs s, OilInfoBEntity oil, ref List <PropertyTable> lst)
{
if (s == null || s.Spec == null || s.Spec.Components == null)
{
return;
}
var cmps = s.Spec.Components;
var t = lst.Where(d => d.Table == PropertyType.NIR).FirstOrDefault();
if (t != null)
{
if (oil != null)
{
t.OilInfoDetail = new OilInfo()
{
CrudeIndex = oil.crudeIndex,
CrudeName = oil.crudeName
}
}
;
double confidence = double.NaN;
List <IntegrateResultItem> itgResult = null;
switch (s.ResultObj.MethodType)
{
case PredictMethod.Identify:
var r1 = s.ResultObj.GetResult <IdentifyResult>();
confidence = IntegrateModel.GetConfidence(r1.Items.First().TQ, r1.MinTQ, r1.Items.First().SQ, r1.MinSQ);
break;
case PredictMethod.Fitting:
var r2 = s.ResultObj.GetResult <FittingResult>();
confidence = IntegrateModel.GetConfidence(r2.TQ, r2.MinTQ, r2.SQ, r2.MinSQ);
break;
case PredictMethod.PLSBind:
confidence = 90;
break;
case PredictMethod.Integrate:
itgResult = s.ResultObj.GetResult <List <IntegrateResultItem> >();
break;
}
foreach (var c in cmps)
{
var item = t.Datas.Where(d => d.Name == c.Name).FirstOrDefault();
if (item != null)
{
item.Value = c.PredictedValue;
if (s.ResultObj.MethodType == PredictMethod.Integrate)
{
var itgitem = itgResult.Where(d => d.Comp.Name == c.Name).FirstOrDefault();
if (itgResult != null)
{
item.Confidence = itgitem.ConfidenceOutter;
}
}
else
{
item.Confidence = confidence;
}
}
}
}
}
public bool APIGetData(BindModel predictor, ref Specs s)
{
log.Info("db before");
using (var db = new NIRCeneterEntities())
{
var r = s.OilData;
if (r != null)
{
return(true);
}
log.Info("db after");
if (s == null || s.ResultObj == null)
{
return(false);
}
var pr = s.ResultObj;
if (s.ResultObj.MethodType == PredictMethod.Integrate && predictor != null)
{
var papi = predictor.PredictForAPI(s.Spec, true);
if (papi.MethodType == PredictMethod.Fitting || papi.MethodType == PredictMethod.Identify)
{
pr = papi;
}
}
r = Serialize.DeepClone <List <PropertyTable> >(this._initP);
OilInfoBEntity oil = null;
switch (pr.MethodType)
{
case NIR.Models.PredictMethod.Identify:
oil = getByName(s, pr, ref r);
break;
case NIR.Models.PredictMethod.Fitting:
oil = getByRate(s, pr, ref r);
break;
case PredictMethod.Integrate:
case NIR.Models.PredictMethod.PLSBind:
oil = getByProperties(s, pr, ref r);
break;
default:
break;
}
GetNIRData(s, oil, ref r);
if (oil != null)
{
r = r.OrderBy(d => (int)d.Table).ToList();
db.OilData.AddObject(new OilData()
{
SID = s.ID,
Data = Serialize.ObjectToByte(r)
});
db.SaveChanges();
s.OilData = r;
return(true);
}
else
{
s.OilData = null;
}
return(false);
}
}
