diff --git a/app/prediction.py b/app/prediction.py
index bda2fe4..2215b07 100644
--- a/app/prediction.py
+++ b/app/prediction.py
@@ -56,6 +56,7 @@ FEATURES = [
 
 ID_COLUMN = "管道编号"
 PIPE_AGE_COLUMN = "管龄（年）"
+REMAINING_LIFE_COLUMN = "预计剩余寿命（年）（管道健康状态 ≥0.5 的剩余年数）"
 LEGACY_PIPE_AGE_COLUMN = "管龄"
 COLUMN_ALIASES = {
     "ID": ID_COLUMN,
@@ -499,7 +500,7 @@ def render_survival_chart(predictions: list[dict[str, Any]], image_path: Path) -
                 PIPE_AGE_COLUMN: pipe_age,
                 "当前健康状态": current_health_state,
                 "健康等级": grade_label,
-                "预计剩余寿命（年）": format_years(remaining_life, current_age, max_age),
+                REMAINING_LIFE_COLUMN: format_years(remaining_life, current_age, max_age),
             }
         )
         if i < CHART_DISPLAY_LIMIT:
@@ -548,7 +549,7 @@ def write_prediction_workbook(
     with pd.ExcelWriter(excel_path, engine="openpyxl") as writer:
         summary_df = pd.DataFrame(
             summary_sheet_rows,
-            columns=[ID_COLUMN, PIPE_AGE_COLUMN, "当前健康状态", "健康等级", "预计剩余寿命（年）"],
+            columns=[ID_COLUMN, PIPE_AGE_COLUMN, "当前健康状态", "健康等级", REMAINING_LIFE_COLUMN],
         )
         sample_df = pd.DataFrame(sample_data_rows, columns=sample_columns)
         if ID_COLUMN in summary_df.columns:
diff --git a/tests/test_prediction.py b/tests/test_prediction.py
index 0c2c445..1ccb059 100644
--- a/tests/test_prediction.py
+++ b/tests/test_prediction.py
@@ -15,6 +15,7 @@ from app.prediction import (
     ID_COLUMN,
     INPUT_COLUMNS,
     PIPE_AGE_COLUMN,
+    REMAINING_LIFE_COLUMN,
     PredictionError,
     estimate_remaining_life,
     grade_info,
@@ -182,8 +183,8 @@ class PredictionHelpersTest(unittest.TestCase):
         ]
         summary_rows = [{"pipe_id": "P001"}, {"pipe_id": "P002"}]
         summary_sheet_rows = [
-            {ID_COLUMN: "P001", PIPE_AGE_COLUMN: "10 年", "当前健康状态": 0.7, "健康等级": "IV级", "预计剩余寿命（年）": ">63"},
-            {ID_COLUMN: "P002", PIPE_AGE_COLUMN: "12 年", "当前健康状态": 0.6, "健康等级": "III级", "预计剩余寿命（年）": ">61"},
+            {ID_COLUMN: "P001", PIPE_AGE_COLUMN: "10 年", "当前健康状态": 0.7, "健康等级": "IV级", REMAINING_LIFE_COLUMN: ">63"},
+            {ID_COLUMN: "P002", PIPE_AGE_COLUMN: "12 年", "当前健康状态": 0.6, "健康等级": "III级", REMAINING_LIFE_COLUMN: ">61"},
         ]
 
         with TemporaryDirectory() as temp_dir:
@@ -196,7 +197,7 @@ class PredictionHelpersTest(unittest.TestCase):
             summary_data = pd.read_excel(output_path, sheet_name="结果摘要")
             self.assertEqual(
                 summary_data.columns.tolist(),
-                [ID_COLUMN, PIPE_AGE_COLUMN, "当前健康状态", "健康等级", "预计剩余寿命（年）"],
+                [ID_COLUMN, PIPE_AGE_COLUMN, "当前健康状态", "健康等级", REMAINING_LIFE_COLUMN],
             )
 
             sample_data = pd.read_excel(output_path, sheet_name="样本数据")
@@ -216,7 +217,7 @@ class PredictionHelpersTest(unittest.TestCase):
         predictions = [dummy_prediction("00123", [1], [0.9], 10, 0.9)]
         summary_rows = [{"pipe_id": "00123"}]
         summary_sheet_rows = [
-            {ID_COLUMN: "00123", PIPE_AGE_COLUMN: "10 年", "当前健康状态": 0.9, "健康等级": "V级", "预计剩余寿命（年）": ">63"}
+            {ID_COLUMN: "00123", PIPE_AGE_COLUMN: "10 年", "当前健康状态": 0.9, "健康等级": "V级", REMAINING_LIFE_COLUMN: ">63"}
         ]
 
         with TemporaryDirectory() as temp_dir: