diff --git a/apps/qm/tasks.py b/apps/qm/tasks.py
index d6b92aea..7bd06f20 100644
--- a/apps/qm/tasks.py
+++ b/apps/qm/tasks.py
@@ -2,7 +2,7 @@ from __future__ import absolute_import, unicode_literals
 from celery import shared_task
 from apps.qm.models import QuaStat
 from apps.utils.tasks import CustomTask
-from django.db.models import Sum, F, ExpressionWrapper, FloatField
+from django.db.models import Sum, F, ExpressionWrapper, FloatField, Q
 
 
 @shared_task(base=CustomTask)
@@ -15,16 +15,18 @@ def cal_quastat(quastatId: str):
     #     GROUP BY field1
     # """
     ins = QuaStat.objects.get(id=quastatId)
+    qs = QuaStat.objects.exclude(Q(val_avg__isnull=True)|Q(num_test__isnull=True)|Q(num_ok__isnull=True))
     # 日统计
     params = {
         'testitem': ins.testitem,
         'material': ins.material,
         'belong_dept': ins.belong_dept,
+        'type': 'sflog',
         'year_s': ins.year_s,
         'month_s': ins.month_s,
         'day_s': ins.day_s
     }
-    results_day = QuaStat.objects.filter(**params).values('belong_dept', 'material',
+    results_day = qs.filter(**params).values('belong_dept', 'material',
                                         'testitem', 'year_s', 'month_s', 'day_s').annotate(
                                         avg_val_total=Sum(F('val_avg')*F('num_test')),
                                         num_test_1=Sum('num_test'),
@@ -47,7 +49,7 @@ def cal_quastat(quastatId: str):
         qua.save()
     # 月统计
     params.pop('day_s')
-    results_month = QuaStat.objects.filter(**params).values('belong_dept', 'material',
+    results_month = qs.filter(**params).values('belong_dept', 'material',
                                         'testitem', 'year_s', 'month_s').annotate(
                                         avg_val_total=Sum(F('val_avg')*F('num_test')),
                                         num_test_1=Sum('num_test'),
@@ -72,7 +74,7 @@ def cal_quastat(quastatId: str):
     # 年统计
     params.pop('month_s')
     
-    results_year = QuaStat.objects.filter(**params).values('belong_dept', 'material',
+    results_year = qs.filter(**params).values('belong_dept', 'material',
                                         'testitem', 'year_s').annotate(
                                         avg_val_total=Sum(F('val_avg')*F('num_test')),
                                         num_test_1=Sum('num_test'),