diff --git a/apps/em/views.py b/apps/em/views.py
index db292e16..122f7df3 100644
--- a/apps/em/views.py
+++ b/apps/em/views.py
@@ -15,7 +15,8 @@ from django.db import transaction
 from apps.em.services import daoru_equipment
 from rest_framework.response import Response
 from django.conf import settings
-from django.db.models import Count, Case, When, IntegerField, Max
+from django.db.models import Count, Case, When, IntegerField, Max, OuterRef, Subquery
+from datetime import datetime, timedelta
 
 # Create your views here.
 
@@ -76,15 +77,25 @@ class EquipmentViewSet(CustomModelViewSet):
 
     def add_info_for_list(self, data):
         if self.request.query_params.get('has_envdata', 'no') == 'yes':
-            now = timezone.now()
+            now = timezone.localtime()
             now_10_before = now - timezone.timedelta(minutes=10)
             data_ids = [item['id'] for item in data]
             from apps.enp.models import EnvData
             from apps.enp.serializers import EnvDataSerializer
-            last_envdata_qs = EnvData.objects.filter(equipment_id__in=data_ids, time__gte=now_10_before, time__lte=now).values('equipment_id').annotate(
-                last_time=Max('time'))
+            # 子查询获取每个 equipment_id 对应的最大时间戳
+            last_time_subquery = EnvData.objects.filter(
+                equipment_id=OuterRef('equipment_id'),
+                time__gte=now_10_before,
+                time__lte=now
+            ).order_by('-time').values('time')[:1]
+
+            # 主查询，获取每个 equipment_id 对应的完整记录
+            last_envdata_qs = EnvData.objects.filter(
+                equipment_id__in=data_ids,
+                time=Subquery(last_time_subquery)
+            )
             envdata = EnvDataSerializer(last_envdata_qs, many=True).data
-            envdata_dict = {item['equipment_id']: item for item in envdata}
+            envdata_dict = {item['equipment']: item for item in envdata}
             for item in data:
                 item['envdata'] = envdata_dict.get(item['id'], {})
         return data