新增：XMR 控制图

ym-process-inspection/src/main/java/com/cnbm/processInspection/controller/ProcessInspectionController.java

@@ -9,21 +9,19 @@ import com.cnbm.common.vo.R;
 import com.cnbm.influx.constant.Constant;
 import com.cnbm.influx.param.QueryDataParam;
 import com.cnbm.influx.param.Range;
-import com.cnbm.processInspection.dto.GraphArg;
+import com.cnbm.processInspection.dto.*;
-import com.cnbm.processInspection.dto.InterpretationListArg;
-import com.cnbm.processInspection.dto.XbarRGraphData;
-import com.cnbm.processInspection.dto.XbarSGraphData;
 import com.cnbm.processInspection.graphAnalyzed.mr.MeanRGraph;
 import com.cnbm.processInspection.graphAnalyzed.ms.MeanStandardDeviationGraph;
+import com.cnbm.processInspection.graphAnalyzed.xmr.XMRGraph;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
+import org.springframework.beans.BeanUtils;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.web.bind.annotation.PostMapping;
 import org.springframework.web.bind.annotation.RequestBody;
 import org.springframework.web.bind.annotation.RequestMapping;
 import org.springframework.web.bind.annotation.RestController;
 
-import java.math.BigDecimal;
 import java.time.Instant;
 import java.util.ArrayList;
 import java.util.List;
@@ -106,7 +104,49 @@ public class ProcessInspectionController {
 
         return R.ok("成功",xbarSGraphData);
     }
+    @PostMapping("/XMRGraphTest")
+    public R<XMRGraphData> XMRGraphTest() throws Exception {
+        ProductFeatures productFeatures = new ProductFeatures();
+        productFeatures.setSl(new Float(5));
+        productFeatures.setUsl(new Float(10));
+        productFeatures.setLsl(new Float(1));
 
+        productFeatures.setName("LTWeight");
+        productFeatures.setSampleSize(1);
+        XMRGraph xmrGraph = new XMRGraph(productFeatures);
+        //判读方案
+        List<InterpretationListArg> interpretationScheme = new ArrayList<>();
+        interpretationScheme.add(new InterpretationListArg(1,null,null));
+        interpretationScheme.add(new InterpretationListArg(5,3,2));
+        xmrGraph.isNeedInterpretation(interpretationScheme);
+
+
+        QueryDataParam queryDataParam = new QueryDataParam();
+        queryDataParam.setMeasurement("Weight");
+        queryDataParam.setRange(new Range(DataUtils.getBeforeDate(10).toInstant(), Instant.now()));
+        xmrGraph.initialDate(queryDataParam);
+
+        XMRGraphData xmrGraphData = new XMRGraphData(
+                xmrGraph.getXmrGraphEntity(),
+                xmrGraph.getXCL(),
+                xmrGraph.getRSCL(),
+                xmrGraph.getSpecificationLimit(),
+                xmrGraph.getProcessCapacity(),
+                new StandardDiviation(xmrGraph.getXigma(),xmrGraph.getTotalXigma())
+        );
+
+        return R.ok("成功",xmrGraphData);
+    }
+
+    private ProductFeatures setRealSampleSize(GraphArg graphArg){
+        ProductFeaturesDTO productFeaturesDTO = productFeaturesService.get(graphArg.getProductFeaturesId());
+        if(graphArg.getSampleSize()!=null){
+            productFeaturesDTO.setSampleSize(graphArg.getSampleSize());
+        }
+        ProductFeatures productFeatures = new ProductFeatures();
+        BeanUtils.copyProperties(productFeaturesDTO, productFeatures);
+        return productFeatures;
+    }
 
     //筛选条件顺序：
     //      ① 先工厂（产品表） => ② 检验类型（产品表）=> ③ 产品名（产品表）=> ④ 工序（产品表）=> ⑤ 特性（检验参数name）（ product_features 表） ；；
@@ -116,8 +156,7 @@ public class ProcessInspectionController {
     // 3.检验类型（产品表） ; 4.产品名 （产品表）; 5.工艺流程（就是工序 ，也是设备名，用到工序表）; 6.特性(product_features.name ,也是influxdb中的argName) ;
     @PostMapping("/XbarSGraph")
     public R<XbarSGraphData> xbarSGraph(@RequestBody GraphArg graphArg) throws Exception {
-
+        ProductFeatures productFeatures = setRealSampleSize(graphArg);
-        ProductFeatures productFeatures = graphArg.getProductFeatures();
 
         MeanStandardDeviationGraph meanStandardDeviationGraph = new MeanStandardDeviationGraph(productFeatures);
         if(graphArg.getInterpretationScheme()!=null){
@@ -143,8 +182,8 @@ public class ProcessInspectionController {
     @PostMapping("/XbarRGraph")
     public R<XbarRGraphData> XbarRGraph(@RequestBody GraphArg graphArg) throws Exception {
 
-        //new 对象
+        ProductFeatures productFeatures = setRealSampleSize(graphArg);
-        ProductFeatures productFeatures = graphArg.getProductFeatures();
+
         MeanRGraph meanRGraph = new MeanRGraph(productFeatures);
         //如果要检验，，那么set 判读方案
         if(graphArg.getInterpretationScheme()!=null){
@@ -168,4 +207,32 @@ public class ProcessInspectionController {
         return R.ok("成功",xbarSGraphData);
     }
 
+    @PostMapping("/XMRGraph")
+    public R<XMRGraphData> XMRGraph(@RequestBody GraphArg graphArg) throws Exception {
+
+        ProductFeatures productFeatures = setRealSampleSize(graphArg);
+
+        XMRGraph xmrGraph = new XMRGraph(productFeatures);
+        //如果要检验，，那么set 判读方案
+        if(graphArg.getInterpretationScheme()!=null){
+            xmrGraph.isNeedInterpretation(graphArg.getInterpretationScheme());
+        }
+
+        QueryDataParam queryDataParam = new QueryDataParam();
+        queryDataParam.setMeasurement(Constant.measurement);
+        queryDataParam.setRange(new Range(graphArg.getBegin().toInstant(), graphArg.getEnd().toInstant()));
+        xmrGraph.initialDate(queryDataParam);
+
+        XMRGraphData xmrGraphData = new XMRGraphData(
+                xmrGraph.getXmrGraphEntity(),
+                xmrGraph.getXCL(),
+                xmrGraph.getRSCL(),
+                xmrGraph.getSpecificationLimit(),
+                xmrGraph.getProcessCapacity(),
+                new StandardDiviation(xmrGraph.getXigma(),xmrGraph.getTotalXigma())
+        );
+
+        return R.ok("成功",xmrGraphData);
+    }
+
 }

ym-process-inspection/src/main/java/com/cnbm/processInspection/dto/GraphArg.java

@@ -17,8 +17,8 @@ import java.util.List;
 @Data
 @ApiModel(value = "控制图 查询参数类")
 public class GraphArg {
-    @ApiModelProperty(value = "检验特性，，全量传过来")
+    @ApiModelProperty(value = "检验特性Id")
-    private ProductFeatures productFeatures;
+    private Long productFeaturesId;
 
     @ApiModelProperty(value = "查询时间段，开始")
     private Date begin;

ym-process-inspection/src/main/java/com/cnbm/processInspection/dto/XMRGraphData.java

@@ -0,0 +1,45 @@
+package com.cnbm.processInspection.dto;
+
+import com.cnbm.common.spc.math.StandardDiviation;
+import com.cnbm.processInspection.graphAnalyzed.xmr.XMRGraphEntity;
+import com.cnbm.qualityPlanning.entity.ControlLimit;
+import com.cnbm.qualityPlanning.entity.ProcessCapability;
+import com.cnbm.qualityPlanning.entity.SpecificationLimit;
+import io.swagger.annotations.ApiModel;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+/**
+ * @Desc: ""
+ * @Author: caixiang
+ * @DATE: 2022/7/22 14:18
+ */
+@Data
+@ApiModel(value = "均值极差控制图 结果类")
+public class XMRGraphData {
+    @ApiModelProperty(value = "控制图list数据")
+    private XMRGraphEntity xmrGraphEntity;
+    @ApiModelProperty(value = "xbar控制图 控制限")
+    private ControlLimit XBarCL;
+    @ApiModelProperty(value = "R控制图 控制限")
+    private ControlLimit RCL;
+
+    @ApiModelProperty(value = "工艺规格限")
+    private SpecificationLimit SL;
+
+    @ApiModelProperty(value = "工序能力")
+    private ProcessCapability processCapability;
+
+    @ApiModelProperty(value = "标准差/总体标准差")
+    private StandardDiviation standardDiviation;
+
+
+    public XMRGraphData(XMRGraphEntity xmrGraphEntity, ControlLimit xBarCL, ControlLimit rCL, SpecificationLimit sl, ProcessCapability processCapability, StandardDiviation standardDiviation){
+        this.xmrGraphEntity = xmrGraphEntity;
+        this.XBarCL = xBarCL;
+        this.RCL = rCL;
+        this.SL = sl;
+        this.processCapability = processCapability;
+        this.standardDiviation = standardDiviation;
+    }
+}

ym-process-inspection/src/main/java/com/cnbm/processInspection/graphAnalyzed/mr/MeanRGraph.java

@@ -106,7 +106,6 @@ public class MeanRGraph {
         dropNames.add("inspectionSheetId");
         queryDataParam.setDropedTagNames(dropNames);
         queryDataParam.setTag(new Tag("argName",argName));
-        queryDataParam.setRange(new Range(DataUtils.getBeforeDate(10).toInstant(), Instant.now()));
 
         List<FluxTable> query = InfluxClient.Client.query(queryDataParam);
         //1. 先从fluxdb 里面提取原始数据

ym-process-inspection/src/main/java/com/cnbm/processInspection/graphAnalyzed/ms/MeanStandardDeviationGraph.java

@@ -103,7 +103,6 @@ public class MeanStandardDeviationGraph {
         dropNames.add("inspectionSheetId");
         queryDataParam.setDropedTagNames(dropNames);
         queryDataParam.setTag(new Tag("argName",argName));
-        queryDataParam.setRange(new Range(DataUtils.getBeforeDate(10).toInstant(), Instant.now()));
 
         List<FluxTable> query = InfluxClient.Client.query(queryDataParam);
         //1. 先从fluxdb 里面提取原始数据

ym-process-inspection/src/main/java/com/cnbm/processInspection/graphAnalyzed/xmr/XMRGraph.java

@@ -0,0 +1,301 @@
+package com.cnbm.processInspection.graphAnalyzed.xmr;
+
+import com.cnbm.basic.entity.ProductFeatures;
+import com.cnbm.common.spc.math.Math;
+import com.cnbm.common.spc.math.StandardDiviation;
+import com.cnbm.influx.config.InfluxClient;
+import com.cnbm.influx.constant.Constant;
+import com.cnbm.influx.param.QueryDataParam;
+import com.cnbm.influx.param.Tag;
+import com.cnbm.processInspection.dto.InterpretationListArg;
+import com.cnbm.qualityPlanning.common.StatisticalControlledTest;
+import com.cnbm.qualityPlanning.entity.*;
+import com.influxdb.query.FluxRecord;
+import com.influxdb.query.FluxTable;
+import lombok.Data;
+
+import java.util.ArrayList;
+import java.util.HashSet;
+import java.util.List;
+
+/**
+ * @Desc: "均值标准差 控制图 , 计算类"
+ * @Author: caixiang
+ * @DATE: 2022/7/20 14:26
+ * 使用方式：① 先new MeanStandardDeviationGraph 对象 ；② 再initialData 初始化数据；③ 再get 控制限
+ *
+ * 步骤：
+ *      ① 先读mysql表，查询 product_features 表，先读到 sample_size（样本量）
+ *      ② 再依据 influx.argName == mysql.product_feature.name && 时间段 查询所有的 参数数据
+ *      ③ 拿到参数数据后，分组 整合成List<Point>,
+ *          计算控制限
+ *          计算 母体 的 \sigma 、 bar{x} 。。。
+ *          计算CPK 、CPU 、CPL这些
+ *      ④ 如果配置了判读方案，还要 调用 StatisticalControlledTest Function 检验。
+ *      ⑤
+ */
+@Data
+public class XMRGraph {
+    //母体的 μ = xbarbar
+    private Double miu;
+    //母体的 xigma ，全局计算的;
+    private Double xigma;
+    //母体的 xigma ，全局计算的;
+    private Double totalXigma;
+
+    //需要去检验的 判读方案  eg:[1,2,3,4,6]
+    private List<InterpretationListArg> interpretationScheme;
+
+    //这里 是特有参数   --  begin
+
+    //单值移动极差 控制图 xbar == xbarbar
+    private Double xbar;
+    private Double rsbar;
+    //这里 是特有参数   --  end
+
+    private Integer sampleSize;
+    private String argName;
+
+    private SpecificationLimit specificationLimit;
+    private XMRGraphEntity xmrGraphEntity;
+
+
+    public XMRGraph(ProductFeatures productFeatures) throws Exception {
+        if(productFeatures.getSampleSize()==null || productFeatures.getName()==null){
+            throw new Exception("ProductFeatures 参数异常");
+        }
+        this.argName = productFeatures.getName();
+        this.sampleSize = 1;
+        this.specificationLimit = new SpecificationLimit(
+                productFeatures.getUsl()==null?null:productFeatures.getUsl(),
+                productFeatures.getSl()==null?null:productFeatures.getSl(),
+                productFeatures.getUsl()==null?null:productFeatures.getUsl()
+                );
+    }
+
+    private Double[] toDoubleArray(Object[] o){
+        Double[] res= new Double[o.length];
+        for(int i=0;i<o.length;i++){
+            res[i] = (Double) o[i];
+        }
+        return res;
+    }
+
+    public void isNeedInterpretation(List<InterpretationListArg> list){
+        this.interpretationScheme = list;
+    }
+
+    /**
+     * name : 初始化数据函数
+     * desc : 从influxdb 里面读取数据，然后 加工处理成 我需要的
+     * 步骤：
+     *      ①
+     * */
+    public void initialDate(QueryDataParam queryDataParam){
+        queryDataParam.setBucket(Constant.bucket);
+        List<String> dropNames = new ArrayList<>();
+        dropNames.add("transationId");
+        dropNames.add("inspectionSheetId");
+        queryDataParam.setDropedTagNames(dropNames);
+        queryDataParam.setTag(new Tag("argName",argName));
+
+
+        List<FluxTable> query = InfluxClient.Client.query(queryDataParam);
+        //1. 先从fluxdb 里面提取原始数据
+        List<Double> originData = new ArrayList<>();
+        for (FluxTable fluxTable : query) {
+            List<FluxRecord> records = fluxTable.getRecords();
+            for (FluxRecord fluxRecord : records) {
+                //因为 传进去的就是Double 类型，所以取出来，自然而然就是Double
+                originData.add(Double.parseDouble(fluxRecord.getValueByKey("_value").toString()));
+            }
+        }
+
+        //2. convert to XbarSPoint
+        List<XMRPoint> list = new ArrayList<>();
+        Double lastOne = (double) 0;
+        List<Double> rsArray = new ArrayList<>();
+        for(int i=0;i<originData.size();i++){
+            if(i==0){
+                list.add(new XMRPoint(
+                        i,
+                        new Double(0),
+                        originData.get(i),
+                        null
+                ));
+                lastOne = originData.get(i);
+                continue;
+            }
+
+            Double now = originData.get(i);
+            Double rs = ( java.lang.Math.abs( now - lastOne ) );
+            rsArray.add(rs);
+            list.add(new XMRPoint(
+                    i,
+                    new Double(0),
+                    now,
+                    rs
+            ));
+            lastOne = now;
+
+        }
+
+        //3. 以及一些 控制图的全局参数。
+        this.xbar = Math.getMean(toDoubleArray(originData.toArray()));
+        this.miu = xbar;
+        StandardDiviation standardDiviation =Math.StandardDiviation(toDoubleArray(originData.toArray()));
+        this.xigma = standardDiviation.getNormal();
+        this.totalXigma = standardDiviation.getTotality();
+        this.rsbar = Math.getMean(toDoubleArray(rsArray.toArray()));
+
+        this.xmrGraphEntity = new XMRGraphEntity(list,xbar,rsbar);
+
+        //4.判读方案  校验
+        //   开始
+        if(this.interpretationScheme != null){
+            List<Point> forX = new ArrayList<>();
+            List<Point> forRS = new ArrayList<>();
+            for(XMRPoint x:list){
+                forX.add( new Point( x.getPosition() , x.getX() ) );
+                if(x.getPosition()!=0){
+                    forRS.add( new Point( x.getPosition(), x.getRs() ) );
+                }
+            }
+            ControlLimit xcl = getXCL();
+            ControlLimit rscl = getRSCL();
+
+            for(InterpretationListArg arg : this.interpretationScheme){
+                switch (arg.getNumber())//值必须是整型或者字符型
+                {
+                    case 1:
+                        StatisticalControlledTest.rule1(forX,xcl);
+                        StatisticalControlledTest.rule1(forRS,rscl);
+                        break;
+                    case 2:
+                        StatisticalControlledTest.rule2(forX,xcl,arg.getArg1());
+                        StatisticalControlledTest.rule2(forRS,rscl,arg.getArg1());
+                        break;
+                    case 3:
+                        StatisticalControlledTest.rule3(forX,arg.getArg1());
+                        StatisticalControlledTest.rule3(forRS,arg.getArg1());
+                        break;
+                    case 4:
+                        StatisticalControlledTest.rule4(forX,arg.getArg1());
+                        StatisticalControlledTest.rule4(forRS,arg.getArg1());
+                        break;
+                    case 5:
+                        StatisticalControlledTest.rule5(forX,xcl,arg.getArg1(), arg.getArg2());
+                        StatisticalControlledTest.rule5(forRS,rscl,arg.getArg1(), arg.getArg2());
+                        break;
+                    case 6:
+                        StatisticalControlledTest.rule6(forX,xcl,arg.getArg1(), arg.getArg2());
+                        StatisticalControlledTest.rule6(forRS,rscl,arg.getArg1(), arg.getArg2());
+                        break;
+                    case 7:
+                        StatisticalControlledTest.rule7(forX,xcl,arg.getArg1());
+                        StatisticalControlledTest.rule7(forRS,rscl, arg.getArg1());
+
+                        break;
+                    case 8:
+                        StatisticalControlledTest.rule8(forX,xcl, arg.getArg1());
+                        StatisticalControlledTest.rule8(forRS,rscl, arg.getArg1());
+                        break;
+                    default:
+                        break;
+                }
+            }
+
+            for(int i=0;i<list.size();i++){
+                if(i==0){
+                    list.get(i).setxUnsatisfiedRules(forX.get(i).getUnsatisfiedRules());
+                    list.get(i).setRsUnsatisfiedRules(new HashSet<>());
+                }else {
+                    list.get(i).setxUnsatisfiedRules(forX.get(i).getUnsatisfiedRules());
+                    list.get(i).setRsUnsatisfiedRules(forRS.get(i-1).getUnsatisfiedRules());
+                }
+
+            }
+
+
+        }
+        //   结束
+
+    }
+
+
+
+
+    /**
+     * desc: get X控制图(单值控制图) 的控制限
+     * 注意：此函数 要在 initialDate()函数执行之后
+     * */
+    public ControlLimit getXCL(){
+        return new ControlLimit(
+                (this.xmrGraphEntity.getXbar() + 2.66 * this.xmrGraphEntity.getRsbar()),
+                this.xmrGraphEntity.getXbar() ,
+                (this.xmrGraphEntity.getXbar() - 2.66 * this.xmrGraphEntity.getRsbar())
+        );
+    }
+
+    /**
+     * desc: get R控制图 的控制限
+     * 注意：此函数 要在 initialDate()函数执行之后
+     * */
+    public ControlLimit getRSCL(){
+        return new ControlLimit(
+                ( 3.267 * this.xmrGraphEntity.getRsbar() ) ,
+                 this.xmrGraphEntity.getRsbar() ,
+                (double) 0
+        );
+    }
+
+    /**
+     * desc: get 工序能力
+     * 注意：此函数 要在 initialDate()函数执行之后
+     * */
+    public ProcessCapability getProcessCapacity(){
+        SpecificationLimit sp = this.specificationLimit;
+        List<String> warming = new ArrayList<>();
+        Float usl = sp.getUSL();
+        Float lsl = sp.getLSL();
+        if(usl==null || lsl==null){
+            if(usl==null && lsl!=null){
+                if(this.miu<lsl){
+                    warming.add("平均值已不能满足规范要求, 有相当多数据均为不合格, 则表示完全没有工序能力");
+                    return new ProcessCapability(null,null,null,(double)0,warming);
+                }
+                Double cpl = ( (this.miu-lsl) / (3 * this.xigma) );
+                return new ProcessCapability(null,null,null,cpl,warming);
+            } else if (lsl == null && usl!=null) {
+                if(this.miu>usl){
+                    warming.add("平均值已不能满足规范要求, 有相当多数据均为不合格, 则表示完全没有工序能力");
+                    return new ProcessCapability(null,null,(double)0,null,warming);
+                }
+
+                Double cpu = ( (usl-this.miu) / (3 * this.xigma) );
+                return new ProcessCapability(null,null,cpu,null,warming);
+            }else {
+                return new ProcessCapability(null,null,null,null,warming);
+            }
+        }
+
+        //下面就是  usl 和 lsl 都部位null的情况
+        Float k1 = usl-lsl;
+        Float k2 = usl+lsl;
+
+        Double cp = ( k1 / (6*this.xigma) );
+        Double k = ( java.lang.Math.abs( (this.miu-k2/2) ) / (k1/2) );
+        if(k>1){
+            warming.add("此工艺参数K 大于1, 说明均值μ已经偏离到规范范围意外，即相当多的工艺参数均不满足规范要求，这说明工艺加工结果很差，该设备根本不适用于批量生产");
+        }
+        Double cpk = cp * ( 1- k);
+        if(cpk<0){
+            warming.add("Cpk=0，该工序完全没有能力 批量生产");
+            cpk = (double) 0;
+        }
+        Double cpu = ( (usl-this.miu) / (3 * this.xigma) );
+        Double cpl = ( (this.miu-lsl) / (3 * this.xigma) );
+
+        return new ProcessCapability(cp,cpk,cpu,cpl,warming);
+    }
+}

ym-process-inspection/src/main/java/com/cnbm/processInspection/graphAnalyzed/xmr/XMRGraphEntity.java

@@ -0,0 +1,50 @@
+package com.cnbm.processInspection.graphAnalyzed.xmr;
+
+
+
+import com.cnbm.qualityPlanning.entity.XMRPoint;
+import com.cnbm.qualityPlanning.entity.XbarRPoint;
+
+import java.util.List;
+
+/**
+ * @Desc: "xbar-R 结果类"
+ * @Author: caixiang
+ * @DATE: 2022/7/21 16:26
+ */
+public class XMRGraphEntity {
+    private List<XMRPoint> list;
+    private Double xbar;
+    private Double rsbar;
+
+    public XMRGraphEntity(List<XMRPoint> list, Double xbar, Double rsbar){
+        this.list = list;
+        this.rsbar = rsbar;
+
+        this.xbar = xbar;
+    }
+
+    public List<XMRPoint> getList() {
+        return list;
+    }
+
+    public void setList(List<XMRPoint> list) {
+        this.list = list;
+    }
+
+    public Double getXbar() {
+        return xbar;
+    }
+
+    public void setXbar(Double xbar) {
+        this.xbar = xbar;
+    }
+
+    public Double getRsbar() {
+        return rsbar;
+    }
+
+    public void setRsbar(Double rsbar) {
+        this.rsbar = rsbar;
+    }
+}

ym-quality-planning/src/main/java/com/cnbm/qualityPlanning/entity/XMRPoint.java

@@ -0,0 +1,95 @@
+package com.cnbm.qualityPlanning.entity;
+
+import java.util.Set;
+
+/**
+ * @Desc: "整合，处理好   后的一行数据 (sampleSize 后的数据) "
+ * @Author: caixiang
+ * @DATE: 2022/7/21 9:43
+ */
+public class XMRPoint extends Point {
+
+    private Double x;
+    private Double rs;
+    //position 是这个数据在数组中的位置 ；；   value 是待被判读方案 分析的value（从 xbar、s、r 中选一）
+    public XMRPoint(Integer position, Double value) {
+        super(position, value);
+    }
+    //r    不满足 的 判读方案
+    private Set<Integer> xUnsatisfiedRules;
+    //xbar 不满足 的 判读方案
+    private Set<Integer> rsUnsatisfiedRules;
+
+
+    private void setValueToTest(Double value){
+        setValueForInterpretation(value);
+    }
+
+    public Set<Integer> getxUnsatisfiedRules() {
+        return xUnsatisfiedRules;
+    }
+
+    public void setxUnsatisfiedRules(Set<Integer> xUnsatisfiedRules) {
+        this.xUnsatisfiedRules = xUnsatisfiedRules;
+    }
+
+    public Set<Integer> getRsUnsatisfiedRules() {
+        return rsUnsatisfiedRules;
+    }
+
+    public void setRsUnsatisfiedRules(Set<Integer> rsUnsatisfiedRules) {
+        this.rsUnsatisfiedRules = rsUnsatisfiedRules;
+    }
+
+    public Double getX() {
+        return x;
+    }
+
+    public void setX(Double x) {
+        this.x = x;
+    }
+
+    public Double getRs() {
+        return rs;
+    }
+
+    public void setRs(Double rs) {
+        this.rs = rs;
+    }
+
+    public XMRPoint(Integer position, Double value, Double x, Double rs) {
+        super(position,value);
+        this.x = x;
+        this.rs = rs;
+    }
+
+    @Override
+    public Integer getPosition() {
+        return super.getPosition();
+    }
+
+    @Override
+    public Double getValueForInterpretation() {
+        return super.getValueForInterpretation();
+    }
+
+    @Override
+    public Set<Integer> getUnsatisfiedRules() {
+        return super.getUnsatisfiedRules();
+    }
+
+    @Override
+    public void setPosition(Integer position) {
+        super.setPosition(position);
+    }
+
+    @Override
+    public void setValueForInterpretation(Double valueForInterpretation) {
+        super.setValueForInterpretation(valueForInterpretation);
+    }
+
+    @Override
+    public void setUnsatisfiedRules(Set<Integer> unsatisfiedRules) {
+        super.setUnsatisfiedRules(unsatisfiedRules);
+    }
+}