private void RefreshInformation()
{
pralgthHelper = new PriAlgorithmHelper();//数据操作类
RemoveTipBean rtb = pralgthHelper.RemoveStepJumpTip(datain, dataselect, DataProcessMethod.RemoveJump, num_simple, lr);
this.richTxtboxNote.Text = rtb.Tip;
this.lbExpectOffsetV.Text = rtb.Offset.ToString();
this.radioGroup.Properties.Items[0].Description = rtb.BothAve;
this.radioGroup.Properties.Items[1].Description = rtb.LeftAve;
this.radioGroup.Properties.Items[2].Description = rtb.RightAve;
}
private void RefreshInformation()
{
string selectexStr = this.radioGroup.Properties.Items[this.radioGroup.SelectedIndex].ToString();
if (selectexStr == string.Empty)
{
return;
}
pralgthHelper = new PriAlgorithmHelper();
int num_simple = int.Parse(this.spinEditAvgSimpling.Text);
RemoveTipBean rtb = pralgthHelper.RemoveStepJumpTip(datain, dataselect, DataProcessMethod.RemoveStep, num_simple, selectexStr.Contains("消除左侧") ? Left_Right.left : Left_Right.right);
this.richTxtboxNote.Text = rtb.Tip;
this.lbExpectOffsetV.Text = rtb.Offset.ToString();
this.radioGroup.Properties.Items[0].Description = rtb.LeftAve;
this.radioGroup.Properties.Items[1].Description = rtb.RightAve;
this.lbDataCount.Text = selectexStr.Contains("消除左侧") ? "左侧" + rtb.Totaleft.ToString() + "个" : "右侧" + rtb.Totalright.ToString() + "个";
}
/// <summary>
///为未初始化消突跳或台阶做预处理
/// </summary>
/// <param name="dataIn"></param>
/// <param name="datasel"></param>
/// <param name="oper"></param>
/// <param name="Num_Sample">采样数</param>
/// <returns></returns>
public RemoveTipBean RemoveStepJumpTip(DataTable dataIn, DataTable datasel, DataProcessMethod oper, int Num_Sample, Left_Right LRB)
{
RemoveTipBean rt = new RemoveTipBean();
// Num_Sample = 5;
try
{
DateTime startSel = DateTime.Parse(datasel.Rows[0][0].ToString());
DateTime endSel = DateTime.Parse(datasel.Rows[datasel.Rows.Count - 1][0].ToString());
double val_left = double.Parse(datasel.Rows[0][1].ToString());
double val_right = double.Parse(datasel.Rows[datasel.Rows.Count - 1][1].ToString());
int tatal = dataIn.Rows.Count;
int select = datasel.Rows.Count; //选择数据总数
/*获取相邻观测值差的绝对值最大的两个值对应的序列号*/
int index_stepL = 0, index_stepR = 0;
for (int i = 0; i < select - 1; i++)
{
double biggest = 0;
double step = System.Math.Abs(double.Parse(datasel.Rows[i][1].ToString()) - double.Parse(datasel.Rows[i + 1][1].ToString()));
if (step > biggest)
{
index_stepL = i;
index_stepR = i + 1;
biggest = step;
}
}
int index = 0;
foreach (DataRow dr in dataIn.Rows)
{
if (DateTime.Parse(dr[0].ToString()).CompareTo(startSel) == 0)
{
index_left = index;
}
if (DateTime.Parse(dr[0].ToString()).CompareTo(endSel) == 0)
{
index_right = index;
break;
}
index++;
}
//消台阶或消突跳
switch (oper)
{
case DataProcessMethod.RemoveJump: //消突跳
{
foreach (DataRow dr in dataIn.Rows)
{
DateTime t = DateTime.Parse(dr[0].ToString());
if (t.CompareTo(startSel) < 0)
{
n_left++;
}
if ((t.CompareTo(endSel) > 0) && (n_right < Num_Sample))
{
n_right++;
ave_right += double.Parse(dr[1].ToString());
}
}
ave_left = double.Parse(dataIn.Rows[n_left][1].ToString());
double cal = 0;
int n_cal = 0;
int Sample = Num_Sample;
if (n_left > 0)
{
for (int i = n_left - 1; i >= 0; i--)
{
if (Sample == 0)
{
break;
}
cal += double.Parse(dataIn.Rows[i][1].ToString());
n_cal++;
Sample--;
}
}
if (n_cal > 0)
{
ave_left = cal / n_cal;
}
ave_right = ave_right / n_right;
//移动台阶左侧(偏移%f)
double left_ave = ave_left;
//移动台阶右侧(偏移%f)
double right_ave = ave_right;
//偏移量选择
double var = 0;
switch (LRB)
{
case Left_Right.left:
var = ave_left - val_left;
break;
case Left_Right.right:
var = ave_right - val_right;
break;
case Left_Right.both:
var = (ave_left + ave_right) / 2 - (val_left + val_right) / 2;
break;
default:
break;
}
m_offset = var;
//实例化提示信息
rt.LeftAve = "左侧采样平均值（" + Convert.ToString(ave_left) + "）";
rt.RightAve = "右侧采样平均值（" + Convert.ToString(ave_right) + "）";
rt.BothAve = "两侧采样平均值（" + Convert.ToString((ave_left + ave_right) / 2) + "）";
rt.TargetNum = "待处理目标数量：" + Convert.ToString(select) + "）";
rt.Offset = m_offset; //偏移量
rt.Tip = "[突跳消除@" + DateTime.Now.ToShortDateString() + "]\r\n偏移值：" + Math.Round(m_offset, 2).ToString() + "\r\n偏移区间：" + startSel.ToShortDateString() + "-" + endSel.ToShortDateString();
TipLeftIndex = n_left;
TipRightIndex = n_left + datasel.Rows.Count - 1;
Tipstr = rt.Tip;
}
break;
case DataProcessMethod.RemoveStep:
DateTime dateL = DateTime.Parse(datasel.Rows[index_stepL][0].ToString());
DateTime dateR = DateTime.Parse(datasel.Rows[index_stepR][0].ToString());
//计算消除左台阶起算索引
nLeftStep = index_stepL + index_left; //左
nRightStep = nLeftStep + 1; //消除右侧台阶起算索引
//计算左侧平均偏移量
int nL = 0;
double totalright = 0;
foreach (DataRow dr in dataIn.Rows)
{
if (DateTime.Parse(dr[0].ToString()).CompareTo(dateR) >= 0 && nL < Num_Sample)
{
nL++;
totalright += double.Parse(dr[1].ToString());
}
}
ave_left = totalright / nL;
//计算右侧平均偏移量
int nR = 0;
double totalleft = 0;
int RSample = Num_Sample;
for (int i = nLeftStep; i >= 0; i--)
{
if (RSample == 0)
{
break;
}
totalleft += double.Parse(dataIn.Rows[i][1].ToString());
nR++;
RSample--;
}
ave_right = totalleft / nR;
//偏移量
m_offset = (LRB == Left_Right.left) ? (ave_left - ave_right) : (ave_right - ave_left);
//实例化提示语句
rt.LeftAve = "消除左侧(平均值" + Convert.ToString(ave_left) + ")";
rt.RightAve = "消除右侧(平均值" + Convert.ToString(ave_right) + ")";
rt.Totalright = dataIn.Rows.Count - (index_stepL + index_left + 1 + 1);
rt.Totaleft = index_stepL + index_left;
rt.Offset = m_offset;
rt.Tip = "[台阶消除@" + DateTime.Now.ToShortDateString() + "]\r\n偏移值：" + Math.Round(m_offset, 2).ToString();
TipLeftIndex = nLeftStep;
TipRightIndex = nLeftStep + datasel.Rows.Count - 1;
Tipstr = rt.Tip;
break;
default:
break;
}
}
catch (Exception ex)
{
rt = null;
throw new Exception(ex.Message);
}
return(rt);
}
