diff --git a/template.yaml b/template.yaml
index c12fdcc..d71618f 100644
--- a/template.yaml
+++ b/template.yaml
@@ -56,7 +56,7 @@ template:
         </rule>
         <rule>
           <rule-title>数据查询与排序</rule-title>
-          <rule-detail>若未明确指定查询字段，涉及人员信息时，默认返回相关性最强的前10个字段。</rule-detail>
+          <rule-detail>若未明确指定查询字段，涉及人员信息时，一般返回相关性最强的前10个字段。</rule-detail>
           <rule-detail>当涉及部门表org_orgs的查询时注意enable启用状态和dr删除标志，且必须限制code字段值包含'CYJ'。</rule-detail>
           <rule-detail>若查询字段为 VARCHAR 或 TEXT 类型但需要计算，必须先进行合理的类型转换（如 CAST(... AS NUMERIC)）。</rule-detail>
           <rule-detail>若查询包含日期/时间字段：
@@ -67,6 +67,7 @@ template:
         <rule>
           <rule-title>聚合与计算</rule-title>
           <rule-detail>使用了聚合函数（如 COUNT(), SUM(), AVG()）的SQL，必须配置相应的 GROUP BY 子句。</rule-detail>
+          <rule-detail>禁止使用AGE函数表达式计算年龄</rule-detail>
           <rule-detail>使用了函数（如 COUNT(), CAST(), SUM()）的字段，必须为其指定一个英文别名。</rule-detail>
           <rule-detail>计算占比或百分比时，结果保留两位小数，并以 '%' 符号结尾。示例：ROUND(COUNT(*) * 100.0 / (SELECT COUNT(*) FROM table), 2) || '%' (PostgreSQL语法)</rule-detail>
           <rule-detail>若查询结果包含枚举字段（如 gender=1,2），必须使用 CASE WHEN 语句将其转换为可读的标签。示例: SELECT CASE WHEN "gender" = '1' THEN '男' WHEN "gender" = '2' THEN '女' END AS "gender"</rule-detail>
diff --git a/util/q_and_a_dict.py b/util/q_and_a_dict.py
index 9a6ce39..9e7e729 100644
--- a/util/q_and_a_dict.py
+++ b/util/q_and_a_dict.py
@@ -386,6 +386,41 @@ question_and_answer = [
                     AND p."dr" = 0
                     ) AS "女员工数"
                       '''
+    },
+    {
+        "question": "数信中心今天各个处室在岗人员数量",
+        "answer": '''
+                    SELECT o.name AS "处室名称", COUNT(p.id) AS "人数"
+                    FROM YJOA_APPSERVICE_DB.t_pr3rl2oj_yj_person_database p
+                    JOIN IUAP_APDOC_BASEDOC.org_orgs o ON p.internal_dept = o.id
+                    WHERE p.internal_dept IN (
+                        SELECT "id" FROM "IUAP_APDOC_BASEDOC"."org_orgs" 
+                        START WITH "name"||"shortname" LIKE '%数信中心%' AND "dr"=0 AND "enable"=1 AND "code" LIKE '%CYJ%'
+                        CONNECT BY PRIOR "id" = "parentid"
+                    ) 
+                    AND p.id IN (SELECT person_id FROM "YJOA_APPSERVICE_DB"."t_yj_person_status" WHERE status = '1001' AND date_value = TO_CHAR(SYSDATE, 'yyyy-MM-dd') AND dr = 0)
+                    AND p.dr = 0
+                    GROUP BY o.name
+                    ORDER BY "人数" DESC 
+                    LIMIT 1000
+                  '''
+    },
+    {
+        "question": "数信中心下的综合管理处有多少人",
+        "answer": '''
+                    SELECT o.name AS "处室名称", COUNT(p.id) AS "人数"
+                    FROM YJOA_APPSERVICE_DB.t_pr3rl2oj_yj_person_database p
+                    JOIN IUAP_APDOC_BASEDOC.org_orgs o ON p.internal_dept = o.id
+                    WHERE p.internal_dept IN (
+                        SELECT "id" FROM "IUAP_APDOC_BASEDOC"."org_orgs" 
+                        START WITH "name"||"shortname" LIKE '%数信中心%' AND "dr"=0 AND "enable"=1 AND "code" LIKE '%CYJ%'
+                        CONNECT BY PRIOR "id" = "parentid"
+                    )
+                    AND p.dr = 0 AND o.name LIKE '%综合管理处%'
+                    GROUP BY o.name
+                    ORDER BY "人数" DESC 
+                    LIMIT 1000
+                  '''
     }
 
 
diff --git a/util/train_ddl.py b/util/train_ddl.py
index 0ba94f8..cca57b9 100644
--- a/util/train_ddl.py
+++ b/util/train_ddl.py
@@ -3,9 +3,15 @@ train_document='''
                 查询地址，籍贯，公司，单位时，尽量使用like查询;
                 查询人员信息时,由于数据表字段过多。只需要展示人员关键信息字段，id，工号，姓名，单位以及用户问题中需要查询的字段;
                 表字段信息以及字段枚举信息在values下，注意相关字段枚举值的转换;
+                出生日期字段是varchar类型，计算年龄时需转换成合适的格式
                 查询单位时，通过orgs表查询，且需要基于parentID查询递归查询单位下的子单位；
                 查询内部单位时，则可以直接查询人员信息表，通过like模糊查询;
                 没有明确说明查询外部单位，都默认查询通过orgs查询单位;
+                数信中心和数信部并非同一个部门，注意区分，不要混淆
+                数信中心下还有多个部门，这些部门里的人员也隶属于数信中心
+                根据部门名称查询部门时除了全称name，简称shortname也重要信息
+                数信部是简称
+                部门表org_orgs中的level字段 {1：公司，2：一级部门，3：二级部门.....}
         '''
 
 person_database_ddl = """
@@ -896,8 +902,12 @@ person_ac_area = '''
       "name": "area",
       "type": "Int",
       "comment": "区域位置",
+      "value": {
+        "1":"党校",
+        "2":"凯莱"
+      }
       "role": "dimension",
-      "tags": ["门禁所属区域"]
+      "tags": ["门禁所属区域","枚举"]
     },
     {
       "name": "region",
@@ -907,14 +917,14 @@ person_ac_area = '''
         "1":"北京",
         "2":"成都",
         "3":"秭归",
-        "4":"林芝市区",
-        "5":"拉萨",
+        "4":"拉萨",
+        "5":"林芝",
         "6":"米林",
         "7":"派镇",
         "8":"墨脱",
       },
       "role": "dimension",
-      "tags": ["门禁所属地区"]
+      "tags": ["门禁所属地区","枚举"]
     },
   ],