diff --git a/epmet-module/data-statistical/data-statistical-server/src/main/java/com/epmet/support/normalizing/batch/BatchScoreCalculator.java b/epmet-module/data-statistical/data-statistical-server/src/main/java/com/epmet/support/normalizing/batch/BatchScoreCalculator.java
index ec62793b66..4eca102834 100644
--- a/epmet-module/data-statistical/data-statistical-server/src/main/java/com/epmet/support/normalizing/batch/BatchScoreCalculator.java
+++ b/epmet-module/data-statistical/data-statistical-server/src/main/java/com/epmet/support/normalizing/batch/BatchScoreCalculator.java
@@ -59,13 +59,6 @@ public class BatchScoreCalculator {
                 String sampleId = vo.getSampleId();
                 //归一后的值
                 BigDecimal normalizeValue;// = scoreCalculator.normalize(getFinalSampleValue(vo.getSampleValue(), threshold));
-                //如果不需要归一 则 直接value*权重
-                if (idx.isScore()) {
-                    normalizeValue = getFinalSampleValue(vo.getSampleValue(), threshold);
-                } else {
-                    normalizeValue = scoreCalculator.normalize(getFinalSampleValue(vo.getSampleValue(), threshold));
-                }
-                //反正切函数 [-pi/2,pi/2]
                 BigDecimal maxValue = idx.getScoreCalculator().getMaxValue();
                 BigDecimal minValue = idx.getScoreCalculator().getMinValue();
                 BigDecimal minScoreValue = idx.getScoreCalculator().getMinScore();
@@ -81,8 +74,14 @@ public class BatchScoreCalculator {
                         normalizeValue = maxValue.subtract(normalizeValue);
                     }
 
+                }else {
+                    //如果不需要归一 则 直接value*权重
+                    if (idx.isScore()) {
+                        normalizeValue = getFinalSampleValue(vo.getSampleValue(), threshold);
+                    } else {
+                        normalizeValue = scoreCalculator.normalize(getFinalSampleValue(vo.getSampleValue(), threshold));
+                    }
                 }
-
                 BigDecimal score = normalizeValue.multiply(weight).setScale(6, RoundingMode.HALF_UP);
                 CalculateResult result = scoreCountOfSamples.get(sampleId);