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This commit is contained in:
caixiang 2022-11-25 10:12:33 +08:00
parent 7abcafb93d
commit bd9276036b
15 changed files with 1002 additions and 45 deletions

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@ -73,6 +73,7 @@ public class SecurityConfig extends WebSecurityConfigurerAdapter {
"/webjars/**",
"/websocket/**",
"/influx/**",
// "/basic/**",
// "/qualityPlanning/**",
// "/processInspection/**",

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@ -15,5 +15,12 @@
<build>
<finalName>${project.artifactId}</finalName>
</build>
<dependencies>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-math3</artifactId>
<version>3.6.1</version>
</dependency>
</dependencies>
</project>

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@ -28,7 +28,6 @@ public class Math {
d[6] = new Double(10.2);
d[7] = new Double(11.7);
;
System.out.println("均值: "+getMean(d)+",,标准差:"+StandardDiviation(d)+",极差:"+range(d));
}

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@ -0,0 +1,793 @@
package com.cnbm.common.spc.math;
import com.cnbm.common.spc.math.entity.T2GraphEntity;
import org.apache.commons.math3.distribution.FDistribution;
import java.math.BigDecimal;
import java.math.RoundingMode;
import java.util.Arrays;
import java.util.List;
/**
* @Desc: ""
* @Author: caixiang
* @DATE: 2022/9/2 15:33
*/
public class Matrix {
// public static void main(String[] args) {
// double[] xbarbar = new double[2];
// xbarbar[0] = 115.6084;
// xbarbar[1] = 1.0564;
//
// double[] xi = new double[2];
// xi[0] = 115.84;
// xi[1] = 1.078;
//
// double[] xi2 = new double[2];
// xi2[0] = 115.76;
// xi2[1] = 1.072;
//
// double[] xi3 = new double[2];
// xi3[0] = 115.11;
// xi3[1] = 1.015;
//
// double[] xi4 = new double[2];
// xi4[0] = 116.02;
// xi4[1] = 1.089;
//
// double[] xi5 = new double[2];
// xi5[0] = 115.80;
// xi5[1] = 1.090;
//
// System.out.println("Ti1:"+ forTi2(xi,xbarbar)*10);
// System.out.println("Ti2:"+ forTi2(xi2,xbarbar)*10);
// System.out.println("Ti3:"+ forTi2(xi3,xbarbar)*10);
// System.out.println("Ti4:"+ forTi2(xi4,xbarbar)*10);
// System.out.println("Ti4:"+ forTi2(xi5,xbarbar)*10);
//// double ti = 10*()
//
//
//
// //创建一个F分布对象参数为自由度
// FDistribution fd = new FDistribution(2,179);
// //当α=0.05时参数为1-α=0.95
// double v = fd.inverseCumulativeProbability(0.99865);
// //输出值
// System.out.println("v: "+v*342/179);
//
//
// //m = 25 n = 1 p = 3
// FDistribution fd2 = new FDistribution(3,21);
// //当α=0.05时参数为1-α=0.95
// double v2 = fd2.inverseCumulativeProbability(0.99865);
// //输出值
// System.out.println("v2: "+v2);
// }
// public static void main(String[] args) {
//
// double[] xlv = new double[5];
// xlv[0] = 155;
// xlv[1] = 170;
// xlv[2] = 160;
// xlv[3] = 162;
// xlv[4] = 163;
//
// double[] weigth = new double[5];
// weigth[0] = 125;
// weigth[1] = 162;
// weigth[2] = 139;
// weigth[3] = 150;
// weigth[4] = 146;
//
// double x1bar = getBar(xlv);
// double x2bar = getBar(weigth);
// System.out.println();
// double s11 = forS11(xlv,x1bar);
// double s12 = forS12(weigth,x1bar,xlv,x2bar);
// double s22 = forS22(weigth,x2bar);
// System.out.println();
//
// }
public static double[][] initialDemoSource(){
double[][] source = new double[60][6];
source[0][0] = 1;
source[0][1] = 1;
source[0][2] = 155;
source[0][3] = 100;
source[0][4] = 60;
source[0][5] = 125;
source[1][0] = 1;
source[1][1] = 2;
source[1][2] = 170;
source[1][3] = 120;
source[1][4] = 82;
source[1][5] = 162;
source[2][0] = 1;
source[2][1] = 3;
source[2][2] = 160;
source[2][3] = 132;
source[2][4] = 71;
source[2][5] = 139;
source[3][0] = 1;
source[3][1] = 4;
source[3][2] = 162;
source[3][3] = 139;
source[3][4] = 70;
source[3][5] = 150;
source[4][0] = 1;
source[4][1] = 5;
source[4][2] = 163;
source[4][3] = 110;
source[4][4] = 80;
source[4][5] = 146;
source[5][0] = 2;
source[5][1] = 1;
source[5][2] = 157;
source[5][3] = 110;
source[5][4] = 59;
source[5][5] = 124;
source[6][0] = 2;
source[6][1] = 2;
source[6][2] = 171;
source[6][3] = 122;
source[6][4] = 81;
source[6][5] = 163;
source[7][0] = 2;
source[7][1] = 3;
source[7][2] = 162;
source[7][3] = 133;
source[7][4] = 73;
source[7][5] = 139;
source[8][0] = 2;
source[8][1] = 4;
source[8][2] = 165;
source[8][3] = 140;
source[8][4] = 72;
source[8][5] = 152;
source[9][0] = 2;
source[9][1] = 5;
source[9][2] = 161;
source[9][3] = 112;
source[9][4] = 81;
source[9][5] = 147;
source[10][0] = 3;
source[10][1] = 1;
source[10][2] = 153;
source[10][3] = 110;
source[10][4] = 63;
source[10][5] = 123;
source[11][0] = 3;
source[11][1] = 2;
source[11][2] = 169;
source[11][3] = 120;
source[11][4] = 86;
source[11][5] = 161;
source[12][0] = 3;
source[12][1] = 3;
source[12][2] = 161;
source[12][3] = 133;
source[12][4] = 79;
source[12][5] = 141;
source[13][0] = 3;
source[13][1] = 4;
source[13][2] = 160;
source[13][3] = 140;
source[13][4] = 72;
source[13][5] = 153;
source[14][0] = 3;
source[14][1] = 5;
source[14][2] = 159;
source[14][3] = 118;
source[14][4] = 82;
source[14][5] = 149;
source[15][0] = 4;
source[15][1] = 1;
source[15][2] = 157;
source[15][3] = 109;
source[15][4] = 60;
source[15][5] = 126;
source[16][0] = 4;
source[16][1] = 2;
source[16][2] = 171;
source[16][3] = 126;
source[16][4] = 81;
source[16][5] = 163;
source[17][0] = 4;
source[17][1] = 3;
source[17][2] = 162;
source[17][3] = 135;
source[17][4] = 72;
source[17][5] = 142;
source[18][0] = 4;
source[18][1] = 4;
source[18][2] = 163;
source[18][3] = 135;
source[18][4] = 70;
source[18][5] = 151;
source[19][0] = 4;
source[19][1] = 5;
source[19][2] = 164;
source[19][3] = 108;
source[19][4] = 72;
source[19][5] = 147;
source[20][0] = 5;
source[20][1] = 1;
source[20][2] = 156;
source[20][3] = 108;
source[20][4] = 70;
source[20][5] = 126;
source[21][0] = 5;
source[21][1] = 2;
source[21][2] = 172;
source[21][3] = 113;
source[21][4] = 80;
source[21][5] = 162;
source[22][0] = 5;
source[22][1] = 3;
source[22][2] = 162;
source[22][3] = 130;
source[22][4] = 70;
source[22][5] = 141;
source[23][0] = 5;
source[23][1] = 4;
source[23][2] = 162;
source[23][3] = 142;
source[23][4] = 76;
source[23][5] = 150;
source[24][0] = 5;
source[24][1] = 5;
source[24][2] = 164;
source[24][3] = 110;
source[24][4] = 83;
source[24][5] = 146;
source[25][0] = 6;
source[25][1] = 1;
source[25][2] = 157;
source[25][3] = 100;
source[25][4] = 60;
source[25][5] = 128;
source[26][0] = 6;
source[26][1] = 2;
source[26][2] = 167;
source[26][3] = 122;
source[26][4] = 80;
source[26][5] = 162;
source[27][0] = 6;
source[27][1] = 3;
source[27][2] = 156;
source[27][3] = 133;
source[27][4] = 73;
source[27][5] = 142;
source[28][0] = 6;
source[28][1] = 4;
source[28][2] = 161;
source[28][3] = 140;
source[28][4] = 76;
source[28][5] = 150;
source[29][0] = 6;
source[29][1] = 5;
source[29][2] = 164;
source[29][3] = 111;
source[29][4] = 82;
source[29][5] = 147;
source[30][0] = 7;
source[30][1] = 1;
source[30][2] = 157;
source[30][3] = 106;
source[30][4] = 62;
source[30][5] = 127;
source[31][0] = 7;
source[31][1] = 2;
source[31][2] = 167;
source[31][3] = 130;
source[31][4] = 83;
source[31][5] = 162;
source[32][0] = 7;
source[32][1] = 3;
source[32][2] = 162;
source[32][3] = 125;
source[32][4] = 73;
source[32][5] = 142;
source[33][0] = 7;
source[33][1] = 4;
source[33][2] = 161;
source[33][3] = 144;
source[33][4] = 76;
source[33][5] = 152;
source[34][0] = 7;
source[34][1] = 5;
source[34][2] = 160;
source[34][3] = 118;
source[34][4] = 85;
source[34][5] = 147;
source[35][0] = 8;
source[35][1] = 1;
source[35][2] = 159;
source[35][3] = 108;
source[35][4] = 62;
source[35][5] = 128;
source[36][0] = 8;
source[36][1] = 2;
source[36][2] = 167;
source[36][3] = 118;
source[36][4] = 84;
source[36][5] = 162;
source[37][0] = 8;
source[37][1] = 3;
source[37][2] = 161;
source[37][3] = 120;
source[37][4] = 73;
source[37][5] = 144;
source[38][0] = 8;
source[38][1] = 4;
source[38][2] = 164;
source[38][3] = 135;
source[38][4] = 76;
source[38][5] = 151;
source[39][0] = 8;
source[39][1] = 5;
source[39][2] = 160;
source[39][3] = 101;
source[39][4] = 81;
source[39][5] = 146;
source[40][0] = 9;
source[40][1] = 1;
source[40][2] = 157;
source[40][3] = 97;
source[40][4] = 57;
source[40][5] = 126;
source[41][0] = 9;
source[41][1] = 2;
source[41][2] = 171;
source[41][3] = 130;
source[41][4] = 72;
source[41][5] = 162;
source[42][0] = 9;
source[42][1] = 3;
source[42][2] = 162;
source[42][3] = 134;
source[42][4] = 68;
source[42][5] = 144;
source[43][0] = 9;
source[43][1] = 4;
source[43][2] = 164;
source[43][3] = 143;
source[43][4] = 70;
source[43][5] = 150;
source[44][0] = 9;
source[44][1] = 5;
source[44][2] = 166;
source[44][3] = 114;
source[44][4] = 80;
source[44][5] = 147;
source[45][0] = 10;
source[45][1] = 1;
source[45][2] = 157;
source[45][3] = 107;
source[45][4] = 62;
source[45][5] = 124;
source[46][0] = 10;
source[46][1] = 2;
source[46][2] = 172;
source[46][3] = 122;
source[46][4] = 81;
source[46][5] = 160;
source[47][0] = 10;
source[47][1] = 3;
source[47][2] = 163;
source[47][3] = 135;
source[47][4] = 72;
source[47][5] = 143;
source[48][0] = 10;
source[48][1] = 4;
source[48][2] = 164;
source[48][3] = 141;
source[48][4] = 70;
source[48][5] = 148;
source[49][0] = 10;
source[49][1] = 5;
source[49][2] = 166;
source[49][3] = 118;
source[49][4] = 82;
source[49][5] = 146;
source[50][0] = 11;
source[50][1] = 1;
source[50][2] = 152;
source[50][3] = 106;
source[50][4] = 62;
source[50][5] = 124;
source[51][0] = 11;
source[51][1] = 2;
source[51][2] = 167;
source[51][3] = 122;
source[51][4] = 82;
source[51][5] = 162;
source[52][0] = 11;
source[52][1] = 3;
source[52][2] = 158;
source[52][3] = 137;
source[52][4] = 74;
source[52][5] = 146;
source[53][0] = 11;
source[53][1] = 4;
source[53][2] = 159;
source[53][3] = 146;
source[53][4] = 72;
source[53][5] = 150;
source[54][0] = 11;
source[54][1] = 5;
source[54][2] = 160;
source[54][3] = 98;
source[54][4] = 82;
source[54][5] = 145;
source[55][0] = 12;
source[55][1] = 1;
source[55][2] = 153;
source[55][3] = 106;
source[55][4] = 62;
source[55][5] = 122;
source[56][0] = 12;
source[56][1] = 2;
source[56][2] = 168;
source[56][3] = 125;
source[56][4] = 85;
source[56][5] = 164;
source[57][0] = 12;
source[57][1] = 3;
source[57][2] = 159;
source[57][3] = 137;
source[57][4] = 72;
source[57][5] = 144;
source[58][0] = 12;
source[58][1] = 4;
source[58][2] = 162;
source[58][3] = 146;
source[58][4] = 73;
source[58][5] = 149;
source[59][0] = 12;
source[59][1] = 5;
source[59][2] = 167;
source[59][3] = 99;
source[59][4] = 70;
source[59][5] = 148;
return source;
}
public static void main(String[] args) {
double[][] source = initialDemoSource();
T2GraphEntity[] all = new T2GraphEntity[12];
//取值
for(int i=1;i<=12;i++){
T2GraphEntity t = new T2GraphEntity();
for(int j=0;j<source.length;j++){
if(source[j][0] == i){
//1=观察对象2=心率 3=收缩压 4=舒张压 5=体重
t.getX1Source().add(source[j][1]);
t.getX2Source().add(source[j][3]);
}
}
all[i-1] = t;
}
//计算每个子组的 x1barx2barS11S12S22
System.out.println();
for(int i=0;i<all.length;i++){
T2GraphEntity t2 = all[i];
double[] x1Source = ListTodouble(t2.getX1Source());
double[] x2Source = ListTodouble(t2.getX2Source());
double x1bar = getBar(x1Source);
double x2bar = getBar(x2Source);
t2.setX1bar(x1bar);
t2.setX2bar(x2bar);
t2.setS11(forS11(x1Source,x1bar));
t2.setS12(forS12(x1Source,x1bar,x2Source,x2bar));
t2.setS22(forS22(x2Source,x2bar));
}
//计算母体的 x1barbarx2barbarS11barS12barS22bar
double x1barbar = 0;
double x2barbar = 0;
double s11bar = 0;
double s12bar = 0;
double s22bar = 0;
for(int i=0;i<all.length;i++){
T2GraphEntity t2 = all[i];
x1barbar += t2.getX1bar();
x2barbar += t2.getX2bar();
s11bar += t2.getS11();
s12bar += t2.getS12();
s22bar += t2.getS22();
}
x1barbar /= all.length;
x2barbar /= all.length;
s11bar /= all.length;
s12bar /= all.length;
s22bar /= all.length;
// Ti2
double[][] sbar = new double[2][2];
sbar[0][0] = s11bar;
sbar[0][1] = s12bar;
sbar[1][0] = s12bar;
sbar[1][1] = s22bar;
double[][] inverse = inverseSE(sbar);
double[] xbarbar = new double[2];
xbarbar[0] = x1barbar;
xbarbar[1] = x2barbar;
for(int i=0;i<all.length;i++){
T2GraphEntity t2 = all[i];
double[] xibar = new double[2];
xibar[0] = t2.getX1bar();
xibar[1] = t2.getX2bar();
double ti = forTi2(xibar, xbarbar, inverse);
t2.setTi(ti*6);
}
System.out.println();
// ucl
//创建一个F分布对象参数为自由度
FDistribution fd = new FDistribution(2,59);
//当α=0.05时参数为1-α=0.95
double v = fd.inverseCumulativeProbability(0.99865);
//输出值
System.out.println("v: "+v);
double m = 12;
double n = 6;
double p = 2;
double head = (double) 110/(double)59;
double ucl = head*v;
System.out.println();
for(int i=0;i< all.length;i++){
T2GraphEntity t2GraphEntity = all[i];
System.out.println(i+" 位置: "+t2GraphEntity.getTi());
}
System.out.println("ucl:" + ucl);
}
public static double[] ListTodouble(List<Double> list){
Double[] doubles=new Double[list.size()];
list.toArray(doubles);
if(doubles==null){
return null;
}
double[] result=new double[doubles.length];
for(int i=0;i<doubles.length;i++){
result[i]=doubles[i].doubleValue();
}
return result;
}
public static double getBar(double[] d){
return Arrays.stream(d).average().getAsDouble();
}
public static double forS11(double[] source , double x1bar){
double all = 0;
for(int i=0;i<source.length;i++){
double c = source[i]-x1bar;
all += c*c;
}
return all/(source.length-1);
}
public static Double forS12(double[] source1 , double x1bar , double[] source2 , double x2bar){
double all = 0;
if(source1.length != source2.length){
return null;
}
for(int i=0;i<source1.length;i++){
double c1 = source1[i]-x1bar;
double c2 = source2[i]-x2bar;
all += c1*c2;
}
return all/(source1.length-1);
}
public static double forS22(double[] source , double x2bar){
double all = 0;
for(int i=0;i<source.length;i++){
double c = source[i]-x2bar;
all += c*c;
}
return all/(source.length-1);
}
public static double forTi2(double[] xibar,double[] xbarbar,double[][] inverse) {
double[] xf = new double[2];
xf[0] = xibar[0]-xbarbar[0];
xf[1] = xibar[1]-xbarbar[1];
double[] ff = new double[2];
ff[0] = xf[0]*inverse[0][0] + xf[1]*inverse[1][0];
ff[1] = xf[0]*inverse[0][1] + xf[1]*inverse[1][1];
return ff[0]*xf[0] + ff[1]*xf[1];
}
public static double formatDouble(double d) {
// 新方法如果不需要四舍五入可以使用RoundingMode.DOWN
BigDecimal bg = new BigDecimal(d).setScale(4, RoundingMode.UP);
return bg.doubleValue();
}
//2阶矩阵 求逆
public static double[][] inverseSE(double[][] source){
double a = source[0][0];
double b = source[0][1];
double c = source[1][0];
double d = source[1][1];
double to = 1/(a*d-b*c);
double[][] res = new double[2][2];
// res[0][0] = formatDouble(d*to);
// res[0][1] = formatDouble(b*to*-1);
// res[1][0] = formatDouble(c*to*-1);
// res[1][1] = formatDouble(a*to);
res[0][0] = d*to;
res[0][1] = b*to*-1;
res[1][0] = c*to*-1;
res[1][1] = a*to;
return res;
}
//获取矩阵的逆
public static int[][] inverse(int[][] A) {
int[][] B = new int[A.length][A[0].length];
for (int i = 0; i < A.length; i++) {
for (int j = 0; j < A[0].length; j++) {
B[i][j] = A[i][j];
}
}
int[][] C = new int[A.length][A[0].length];
for (int i = 0; i < A.length; i++) {
for (int j = 0; j < A[0].length; j++) {
C[i][j] = (int) java.lang.Math.pow(-1, i + j) * determinant(minor(B, j, i));
}
}
int[][] D = new int[A.length][A[0].length];
for (int i = 0; i < A.length; i++) {
for (int j = 0; j < A[0].length; j++) {
D[i][j] = C[i][j] / determinant(A);
}
}
return D;
}
//求解矩阵的行列式
private static int determinant(int[][] a) {
if (a.length == 1) {
return a[0][0];
}
int det = 0;
for (int i = 0; i < a[0].length; i++) {
det += (int) java.lang.Math.pow(-1, i) * a[0][i] * determinant(minor(a, 0, i));
}
return det;
}
//求解二维矩阵在某一位置的伴随矩阵
private static int[][] minor(int[][] b, int i, int j) {
int[][] a = new int[b.length - 1][b[0].length - 1];
for (int x = 0, y = 0; x < b.length; x++) {
if (x == i) {
continue;
}
for (int m = 0,n = 0; m < b[0].length; m++) {
if (m == j) {
continue;
}
a[y][n] = b[x][m];
n++;
}
y++;
}
return a;
}
}

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@ -0,0 +1,30 @@
package com.cnbm.common.spc.math.entity;
import lombok.Data;
import java.util.ArrayList;
import java.util.List;
/**
* @Desc: ""
* @Author: caixiang
* @DATE: 2022/9/9 15:26
*/
@Data
public class T2GraphEntity {
private double x1bar;
private double x2bar;
private double s11;
private double s12;
private double s22;
private double ti;
private List<Double> x1Source;
private List<Double> x2Source;
public T2GraphEntity(){
x1Source = new ArrayList<>();
x2Source = new ArrayList<>();
}
}

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@ -65,16 +65,16 @@ spring:
# username: postgres
# password: 123456
influx:
url: http://192.168.0.170:8086 # URL to connect to InfluxDB.
username: caixiang # Username to use in the basic auth.
password: 251128856 # Password to use in the basic auth.
token: lkBsC27QZr1W50BSPlGxpTqNNpwuUk5uz1dZZRPSPbCG5VmNDDUo8P3UkZIhGWwfJwkuz6ZGZ7Et4_KBaG3gHw== # Token to use for the authorization.
org: qgs # Default destination organization for writes and queries.
bucket: qgs-bucket # Default destination bucket for writes.
logLevel: BODY # The log level for logging the HTTP request and HTTP response. (Default: NONE)
readTimeout: 5s # Read timeout for OkHttpClient. (Default: 10s)
writeTimeout: 5s # Write timeout for OkHttpClient. (Default: 10s)
connectTimeout: 5s # Connection timeout for OkHttpClient. (Default: 10s)
#influx:
# url: http://192.168.0.170:8086 # URL to connect to InfluxDB.
# username: caixiang # Username to use in the basic auth.
# password: 251128856 # Password to use in the basic auth.
# token: lkBsC27QZr1W50BSPlGxpTqNNpwuUk5uz1dZZRPSPbCG5VmNDDUo8P3UkZIhGWwfJwkuz6ZGZ7Et4_KBaG3gHw== # Token to use for the authorization.
# org: qgs # Default destination organization for writes and queries.
# bucket: qgs-bucket # Default destination bucket for writes.
# logLevel: BODY # The log level for logging the HTTP request and HTTP response. (Default: NONE)
# readTimeout: 5s # Read timeout for OkHttpClient. (Default: 10s)
# writeTimeout: 5s # Write timeout for OkHttpClient. (Default: 10s)
# connectTimeout: 5s # Connection timeout for OkHttpClient. (Default: 10s)
# management.health.influx.enabled=true # Whether to enable InfluxDB 2.x health check.

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@ -23,6 +23,8 @@
<artifactId>influxdb-client-java</artifactId>
<version>6.3.0</version>
</dependency>
<dependency>
<groupId>com.cnbm</groupId>
<artifactId>ym-common</artifactId>

View File

@ -92,13 +92,25 @@ public enum InfluxClient {
public void batchInsert(List<Event> events, String measurement){
List<Point> list = new ArrayList<>();
for(Event event:events){
Point point = Point.measurement(measurement)
.addTag("transationId", event.getTransationId())
.addTag("inspectionSheetId", event.getInspectionSheetId())
.addTag("batchNum", event.getBatchNum().toString())
.addTag("argName", event.getArgName())
.addField("argValue", event.getArgValue())
.time(event.getTime().toEpochMilli(), WritePrecision.MS);
Point point = null;
if(event.getBatchNum()==null){
point = Point.measurement(measurement)
.addTag("transationId", event.getTransationId())
.addTag("inspectionSheetId", event.getInspectionSheetId())
.addTag("argName", event.getArgName())
.addField("argValue", event.getArgValue())
.time(event.getTime().toEpochMilli(), WritePrecision.MS);
}else {
point = Point.measurement(measurement)
.addTag("transationId", event.getTransationId())
.addTag("inspectionSheetId", event.getInspectionSheetId())
.addTag("batchNum", event.getBatchNum().toString())
.addTag("argName", event.getArgName())
.addField("argValue", event.getArgValue())
.time(event.getTime().toEpochMilli(), WritePrecision.MS);
}
list.add(point);
}
writeApi.writePoints(list);
@ -125,16 +137,31 @@ public enum InfluxClient {
if(pageInfo!=null){
flux += "|> limit(n: "+pageInfo.getSize()+", offset: "+(pageInfo.getCurrent()-1)* pageInfo.getSize()+")";
}
return queryApi.query(flux);
}
public List<FluxTable> queryByGroup(QueryDataParam param){
String measurement = param.getMeasurement();
List<String> dropedTagNames = param.getDropedTagNames();
Range range = param.getRange();
String bucket = param.getBucket();
String tagName = param.getTag().getTagName();
String tagValue = param.getTag().getTagValue();
String groupName = param.getGroupName();
PageInfo pageInfo = param.getPageInfo();
// List<FluxTable> tables = queryApi.query(flux);
// for (FluxTable fluxTable : tables) {
// List<FluxRecord> records = fluxTable.getRecords();
// for (FluxRecord fluxRecord : records) {
// System.out.println("time: "+fluxRecord.getTime() +" key:"+fluxRecord.getField()+" value: " + fluxRecord.getValueByKey("_value")+" measurement: " + fluxRecord.getMeasurement());
//
// }
// }
String flux = "from(bucket:\""+bucket+"\")";
flux += "|> range(start: "+range.getBegin()+",stop:"+range.getEnd()+")";
flux += "|> filter(fn: (r) => r[\"_measurement\"] == \""+measurement+"\")";
flux += "|> filter(fn: (r) => r[\""+tagName+"\"] == \""+tagValue+"\")";
flux += "|> group(columns: [\""+groupName+"\"], mode: \"except\")";
for(String dropName:dropedTagNames){
flux += "|> drop(columns: [\""+dropName+"\"])";
}
flux += "|> sort(columns: [\"_time\"], desc: true)";
if(pageInfo!=null){
flux += "|> limit(n: "+pageInfo.getSize()+", offset: "+(pageInfo.getCurrent()-1)* pageInfo.getSize()+")";
}
return queryApi.query(flux);
}

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@ -18,7 +18,7 @@ public class Constant {
public static final LogLevel readTimeout = LogLevel.BODY;
public static final LogLevel writeTimeout = LogLevel.BODY;
public static final LogLevel connectTimeout = LogLevel.BODY;
public static final String measurement = "WeightHeiHei";
public static final String measurement = "Weights";
}

View File

@ -1,6 +1,8 @@
package com.cnbm.influx.controller;
import com.cnbm.common.spc.util.DataUtils;
import com.cnbm.common.utils.Result;
import com.cnbm.common.vo.R;
import com.cnbm.influx.config.InfluxClient;
import com.cnbm.influx.param.PageInfo;
import com.cnbm.influx.param.QueryDataParam;
@ -43,6 +45,27 @@ public class S7DemoController {
event.setArgName("LTWeight");
Double d = r.nextDouble() * 2.5 + 66;
event.setArgValue(d);
list.add(event);
}
InfluxClient.Client.batchInsert(list,"Weight");
}
@PostMapping("/forTestInsertBatch")
public void forTestInsertBatch() throws InterruptedException {
List<Event> list = new ArrayList<>();
Random r = new Random();
for(int i=0;i<99;i++){
Thread.sleep(10);
Event event = new Event();
event.setTime(Instant.now());
event.setTransationId("forbatch"+i);
event.setArgName("LTWeight");
Double d = r.nextDouble() * 2.5 + 66;
event.setArgValue(d);
event.setBatchNum(4);
event.setInspectionSheetId(i+"");
list.add(event);
}
InfluxClient.Client.batchInsert(list,"Weight");
@ -71,6 +94,8 @@ public class S7DemoController {
InfluxClient.Client.batchInsert(list,"WeightHei");
}
@PostMapping("/insertBatchJYDForTest")
public void insertBatchJYDForTest() throws InterruptedException {
List<Event> list = new ArrayList<>();
@ -88,13 +113,39 @@ public class S7DemoController {
}else {
event.setArgValue(new Double(1));
}
event.setInspectionSheetId(i+"");
event.setBatchNum(i);
list.add(event);
}
InfluxClient.Client.batchInsert(list,"WeightHeiHei");
InfluxClient.Client.batchInsert(list,"Weights");
}
@PostMapping("/insertBatchForNew")
public void insertBatchForNew() throws InterruptedException {
List<Event> list = new ArrayList<>();
Random r = new Random();
for(int i=0;i<999;i++){
Thread.sleep(10);
Event event = new Event();
event.setTime(new Date().toInstant());
event.setTransationId("asas"+i);
event.setArgName("LiuWeight");
// int i1 = r.nextInt(10);
// if(i1<4){
// event.setArgValue(new Double(0));
// }else {
// event.setArgValue(new Double(1));
// }
Double d = r.nextDouble() * 2.5 + 66;
event.setArgValue(d);
event.setInspectionSheetId(i+"");
event.setBatchNum(i);
list.add(event);
}
InfluxClient.Client.batchInsert(list,"Weights");
}
/**
@ -131,7 +182,6 @@ public class S7DemoController {
List<FluxRecord> records = fluxTable.getRecords();
for (FluxRecord fluxRecord : records) {
System.out.println("value: " + fluxRecord.getValueByKey("_value"));
}
}
System.out.println();
@ -157,7 +207,6 @@ public class S7DemoController {
List<FluxRecord> records = fluxTable.getRecords();
for (FluxRecord fluxRecord : records) {
System.out.println("value: " + fluxRecord.getValueByKey("_value"));
}
}
}

View File

@ -29,5 +29,6 @@ public class QueryDataParam extends BaseParam{
//查询的时候需要忽略的字段(transationId是唯一标识会对 最终的查询结果集产生影响)
private List<String> dropedTagNames;
private String bucket;
private String groupName;
}

View File

@ -6,10 +6,13 @@ import com.cnbm.basic.service.IProductFeaturesService;
import com.cnbm.common.spc.math.StandardDiviation;
import com.cnbm.common.spc.util.DataUtils;
import com.cnbm.common.vo.R;
import com.cnbm.influx.config.InfluxClient;
import com.cnbm.influx.constant.Constant;
import com.cnbm.influx.param.QueryDataGroupByTimeParam;
import com.cnbm.influx.param.QueryDataParam;
import com.cnbm.influx.param.Range;
import com.cnbm.influx.param.Tag;
import com.cnbm.influx.template.Event;
import com.cnbm.processInspection.dto.*;
import com.cnbm.processInspection.graphAnalyzed.forCount.c.CGraph;
import com.cnbm.processInspection.graphAnalyzed.forCount.np.NPGraph;
@ -18,6 +21,8 @@ import com.cnbm.processInspection.graphAnalyzed.forCount.u.UGraph;
import com.cnbm.processInspection.graphAnalyzed.forMeterage.mr.MeanRGraph;
import com.cnbm.processInspection.graphAnalyzed.forMeterage.ms.MeanStandardDeviationGraph;
import com.cnbm.processInspection.graphAnalyzed.forMeterage.xmr.XMRGraph;
import com.influxdb.query.FluxRecord;
import com.influxdb.query.FluxTable;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.BeanUtils;
@ -30,6 +35,7 @@ import org.springframework.web.bind.annotation.RestController;
import java.time.Instant;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
@RestController
@RequestMapping("/processInspection")
@ -46,7 +52,7 @@ public class ProcessInspectionController {
productFeatures.setUsl(new Float(10));
productFeatures.setLsl(new Float(1));
productFeatures.setName("LTWeight");
productFeatures.setName("LostDays");
productFeatures.setSampleSize(10);
MeanStandardDeviationGraph meanStandardDeviationGraph = new MeanStandardDeviationGraph(productFeatures);
//判读方案
@ -58,7 +64,7 @@ public class ProcessInspectionController {
QueryDataParam queryDataParam = new QueryDataParam();
queryDataParam.setMeasurement(Constant.measurement);
queryDataParam.setRange(new Range(DataUtils.getBeforeDate(10).toInstant(), Instant.now()));
queryDataParam.setRange(new Range(DataUtils.getBeforeDate(999).toInstant(), DataUtils.getAfterDate(999).toInstant() ));
meanStandardDeviationGraph.initialDate(queryDataParam);
XbarSGraphData xbarSGraphData = new XbarSGraphData(
@ -75,12 +81,13 @@ public class ProcessInspectionController {
@PostMapping("/XbarRGraphTest")
public R<XbarRGraphData> XbarRGraphTest() throws Exception {
//todo SL/USL/LSL sampleSize 需要从外面传过来
ProductFeatures productFeatures = new ProductFeatures();
productFeatures.setSl(new Float(5));
productFeatures.setUsl(new Float(10));
productFeatures.setLsl(new Float(1));
productFeatures.setName("LTWeight");
productFeatures.setName("LostDays");
productFeatures.setSampleSize(10);
MeanRGraph meanRGraph = new MeanRGraph(productFeatures);
//判读方案
@ -92,7 +99,7 @@ public class ProcessInspectionController {
QueryDataParam queryDataParam = new QueryDataParam();
queryDataParam.setMeasurement(Constant.measurement);
queryDataParam.setRange(new Range(DataUtils.getBeforeDate(10).toInstant(), Instant.now()));
queryDataParam.setRange(new Range(DataUtils.getBeforeDate(999).toInstant(), DataUtils.getAfterDate(999).toInstant() ));
meanRGraph.initialDate(queryDataParam);
XbarRGraphData xbarSGraphData = new XbarRGraphData(
@ -113,7 +120,7 @@ public class ProcessInspectionController {
productFeatures.setUsl(new Float(10));
productFeatures.setLsl(new Float(1));
productFeatures.setName("LTWeight");
productFeatures.setName("LostDays");
productFeatures.setSampleSize(1);
XMRGraph xmrGraph = new XMRGraph(productFeatures);
//判读方案
@ -125,7 +132,7 @@ public class ProcessInspectionController {
QueryDataParam queryDataParam = new QueryDataParam();
queryDataParam.setMeasurement(Constant.measurement);
queryDataParam.setRange(new Range(DataUtils.getBeforeDate(10).toInstant(), Instant.now()));
queryDataParam.setRange(new Range(DataUtils.getBeforeDate(999).toInstant(), DataUtils.getAfterDate(999).toInstant() ));
xmrGraph.initialDate(queryDataParam);
XMRGraphData xmrGraphData = new XMRGraphData(
@ -139,6 +146,45 @@ public class ProcessInspectionController {
return R.ok("成功",xmrGraphData);
}
@PostMapping("/getBatchs")
public R<List<String>> getBatchs() throws InterruptedException {
List<Event> list = new ArrayList<>();
Random r = new Random();
Instant instant = DataUtils.getBeforeDate(400).toInstant();
List<String> res = new ArrayList<>();
QueryDataParam queryDataParam = new QueryDataParam();
queryDataParam.setBucket("qgs-bucket");
queryDataParam.setMeasurement("Weight");
List<String> dropNames = new ArrayList<>();
dropNames.add("transationId");
dropNames.add("_value");
dropNames.add("_start");
dropNames.add("_stop");
dropNames.add("_time");
dropNames.add("_field");
dropNames.add("_measurement");
dropNames.add("inspectionSheetId");
dropNames.add("argName");
queryDataParam.setDropedTagNames(dropNames);
queryDataParam.setTag(new Tag("argName","LTWeight"));
queryDataParam.setRange(new Range(DataUtils.getBeforeDate(100).toInstant(),Instant.now()));
// queryDataParam.setPageInfo(new PageInfo(1,10));
List<FluxTable> query = InfluxClient.Client.queryByGroup(queryDataParam);
for (FluxTable fluxTable : query) {
List<FluxRecord> records = fluxTable.getRecords();
if(records.size()!=0){
res.add((String) records.get(0).getValueByKey("batchNum"));
continue;
}
}
return R.ok(res);
}
@PostMapping("/NPGraphTest")
public R<NPGraphData> NPGraphTest() throws Exception {
ProductFeatures productFeatures = new ProductFeatures();
@ -152,7 +198,7 @@ public class ProcessInspectionController {
QueryDataGroupByTimeParam queryDataParam = new QueryDataGroupByTimeParam();
queryDataParam.setMeasurement(Constant.measurement);
queryDataParam.setRange(new Range( Instant.now() , DataUtils.getAfterDate(999).toInstant() ));
queryDataParam.setRange(new Range(DataUtils.getBeforeDate(999).toInstant(), DataUtils.getAfterDate(999).toInstant() ));
queryDataParam.setTimeType(1);
npGraph.initialDate(queryDataParam);
@ -177,7 +223,7 @@ public class ProcessInspectionController {
QueryDataGroupByTimeParam queryDataParam = new QueryDataGroupByTimeParam();
queryDataParam.setMeasurement(Constant.measurement);
queryDataParam.setRange(new Range( Instant.now() , DataUtils.getAfterDate(999).toInstant() ));
queryDataParam.setRange(new Range(DataUtils.getBeforeDate(999).toInstant(), DataUtils.getAfterDate(999).toInstant() ));
queryDataParam.setTimeType(2);
pGraph.initialDate(queryDataParam);
@ -201,8 +247,10 @@ public class ProcessInspectionController {
QueryDataGroupByTimeParam queryDataParam = new QueryDataGroupByTimeParam();
//到时候 要看前端 传的这里的measurement 其实就是 设备名
queryDataParam.setMeasurement(Constant.measurement);
queryDataParam.setRange(new Range( Instant.now() , DataUtils.getAfterDate(999).toInstant() ));
// queryDataParam.setRange(new Range(DataUtils.getBeforeDate(10).toInstant(), Instant.now()));
queryDataParam.setRange(new Range(DataUtils.getBeforeDate(999).toInstant(), DataUtils.getAfterDate(999).toInstant() ));
queryDataParam.setTimeType(2);
cGraph.initialDate(queryDataParam);
@ -228,7 +276,7 @@ public class ProcessInspectionController {
QueryDataGroupByTimeParam queryDataParam = new QueryDataGroupByTimeParam();
queryDataParam.setMeasurement(Constant.measurement);
queryDataParam.setRange(new Range( Instant.now() , DataUtils.getAfterDate(999).toInstant() ));
queryDataParam.setRange(new Range(DataUtils.getBeforeDate(999).toInstant(), DataUtils.getAfterDate(999).toInstant() ));
queryDataParam.setTimeType(2);
uGraph.initialDate(queryDataParam);

View File

@ -15,7 +15,7 @@ import lombok.Data;
* @DATE: 2022/7/22 14:18
*/
@Data
@ApiModel(value = "均值极差控制图 结果类")
@ApiModel(value = "单值-移动极差 结果类")
public class XMRGraphData {
@ApiModelProperty(value = "控制图list数据")
private XMRGraphEntity xmrGraphEntity;

View File

@ -15,7 +15,7 @@ import lombok.Data;
* @DATE: 2022/7/22 14:18
*/
@Data
@ApiModel(value = "均值极差控制图 结果类")
@ApiModel(value = "均值-极差控制图 结果类")
public class XbarRGraphData {
@ApiModelProperty(value = "控制图list数据")
private MRGraphEntity mrGraphEntity;

View File

@ -15,7 +15,7 @@ import lombok.Data;
* @DATE: 2022/7/22 14:18
*/
@Data
@ApiModel(value = "均值标准差控制图 结果类")
@ApiModel(value = "均值-标准差控制图 结果类")
public class XbarSGraphData {
@ApiModelProperty(value = "控制图list数据")
private MSDGraphEntity msdGraphEntity;