static double GetValueFromList(List <PointValue> l, int r, int c, int i, int j)
{
PointValue p = GetEleFromList(l, r, c, i, j);
if (p == null)
{
return(0);
}
double value = p.value;
if (value < 0)
{
value = Math.Pow(10, value / 10) * 0.001;
}
return(value);
}
/// <summary>
/// 合并态势功率的方法
/// </summary>
/// <param name="resultType"></param>
/// <param name="projectPath"></param>
/// <param name="projectName"></param>
internal void CombineSituationPower(List <ResultFile> resultTypes)
{
string totalResult = null;
if (resultTypes != null && resultTypes.Count > 0)
{
totalResult = CombineMethod.CombineSituationPower(resultTypes);
using (StreamWriter sw = File.CreateText(this.projectPath + "\\" + this.projectName + "_psum.p2m"))
sw.Write(totalResult);
//********************添加生成bmp文件,有异常则不生成，跳至下一处
do
{
StreamReader streamReader = new StreamReader(this.projectPath + "\\" + this.projectName + "_psum.p2m");
List <PointValue> pointNormalizeList = new List <PointValue>();
List <PointValue> pointValueList = new List <PointValue>();
streamReader.ReadLine();
streamReader.ReadLine();//第1、2行不读
string lineData = streamReader.ReadLine();
double tempMax = -100;
double tempMin = 0;
while (lineData != null)
{
PointValue pointValue = new PointValue();
lineData = lineData.Trim();
//按空格拆分
string[] tmp = System.Text.RegularExpressions.Regex.Split(lineData, @"\s+");
bool isSuccess = Double.TryParse(tmp[1], out pointValue.x);
if (!isSuccess)
{
break;
}
isSuccess = Double.TryParse(tmp[2], out pointValue.y);
if (!isSuccess)
{
break;
}
isSuccess = Double.TryParse(tmp[3], out pointValue.z);
if (!isSuccess)
{
break;
}
isSuccess = Double.TryParse(tmp[5], out pointValue.value);
if (!isSuccess)
{
break;
}
pointValueList.Add(pointValue);
pointNormalizeList.Add(pointValue);
if (pointValue.value > tempMax)
{
tempMax = pointValue.value;
}
if (pointValue.value < tempMin)
{
tempMin = pointValue.value;
}
lineData = streamReader.ReadLine();
}
streamReader.Close();
for (int itemp = 0; itemp < pointValueList.Count; itemp++)
{
pointNormalizeList[itemp].value = (pointValueList[itemp].value - tempMin) / (tempMax - tempMin);//以对数形式归一化
}
BmpResultUti.CreateBMP(pointValueList, this.projectPath + "\\" + this.projectName + "_situation_psum.bmp", tempMax, tempMin);
using (StreamWriter sw = File.CreateText(this.projectPath + "\\" + this.projectName + "_situation_psum_max_value" + ".p2m"))//将功率最大值最小值写入文件
{
sw.WriteLine(tempMax.ToString());
sw.WriteLine(tempMin.ToString());
}
} while (false);
}
}
/// </summary>
/// 合并态势显示的erm的方法
/// </summary>
internal void CombineSituationErms(List <ResultFile> resultTypes)
{
if (resultTypes != null && resultTypes.Count > 0)
{
string totalResult = null;
List <string> midPointFrequencies = GetMidPointFrequency(resultTypes);
List <Dictionary <ResultFile, double> > resultFilesWithWeights = GetWeight(resultTypes, midPointFrequencies);
for (int i = 0; i < midPointFrequencies.Count; i++)
{
totalResult = CombineMethod.CombineSituationErms(resultFilesWithWeights[i]);
using (StreamWriter sw = File.CreateText(this.projectPath + "\\" + this.projectName + "_erms_" + midPointFrequencies[i] + ".p2m"))
sw.Write(totalResult);
//********************添加生成bmp文件,有异常则不生成，跳至下一处
do
{
StreamReader streamReader = new StreamReader(this.projectPath + "\\" + this.projectName + "_erms_" + midPointFrequencies[i] + ".p2m");
List <PointValue> pointValueList = new List <PointValue>();
List <PointValue> pointNormalizeList = new List <PointValue>();
streamReader.ReadLine();
streamReader.ReadLine();//第1、2行不读
string lineData = streamReader.ReadLine();
double tempMax = -80;
double tempMin = 0;
while (lineData != null)
{
PointValue pointValue = new PointValue();
lineData = lineData.Trim();
string[] tmp = System.Text.RegularExpressions.Regex.Split(lineData, @"\s+");
bool isSuccess = Double.TryParse(tmp[1], out pointValue.x);
if (!isSuccess)
{
break;
}
isSuccess = Double.TryParse(tmp[2], out pointValue.y);
if (!isSuccess)
{
break;
}
isSuccess = Double.TryParse(tmp[3], out pointValue.z);
if (!isSuccess)
{
break;
}
isSuccess = Double.TryParse(tmp[5], out pointValue.value);
if (!isSuccess)
{
break;
}
pointValueList.Add(pointValue);
double tempValue = pointValue.value;
if (tempValue < 0.00000001)
{
tempValue = -80;
}
else
{
tempValue = 10 * Math.Log10(tempValue);
}
pointValue.value = tempValue;
pointNormalizeList.Add(pointValue);
if (pointValue.value > tempMax)
{
tempMax = pointValue.value;
}
if (pointValue.value < tempMin)
{
tempMin = pointValue.value;
}
lineData = streamReader.ReadLine();
}
streamReader.Close();
for (int itemp = 0; itemp < pointValueList.Count; itemp++)
{
pointNormalizeList[itemp].value = (pointValueList[itemp].value - tempMin) / (tempMax - tempMin);//以对数形式归一化
}
//生成bmp
BmpResultUti.CreateBMP(pointValueList, this.projectPath + "\\" + this.projectName + "_situation_erms_" + midPointFrequencies[i] + ".bmp", tempMax, tempMin);
using (StreamWriter sw = File.CreateText(this.projectPath + "\\" + this.projectName + "_situation_erms_max_value_" + midPointFrequencies[i] + ".p2m"))//将最大值写入文件
{
sw.WriteLine(tempMax.ToString());
sw.WriteLine(tempMin.ToString());
}
} while (false);
}
//******************************************
}
}