diff --git a/src/postprocessing/report_word.py b/src/postprocessing/report_word.py
index a9538e8..008b155 100644
--- a/src/postprocessing/report_word.py
+++ b/src/postprocessing/report_word.py
@@ -998,7 +998,9 @@ class WaterQualityReportGenerator:
         # ── 封面 ──
         self._add_cover_page(doc)
         self._add_company_description_page(doc)
-        _next("封面与单位介绍")
+        self._add_data_acquisition_section(doc)
+        self._add_data_processing_section(doc)
+        _next("封面与通用章节")
 
         # ── 1. 项目背景 ──
         h1 = doc.add_heading("1 项目背景", level=1)
@@ -1477,7 +1479,10 @@ class WaterQualityReportGenerator:
             h3 = doc.add_heading("航线规划：", level=3)
             self._style_heading(h3, level=3)
             latest = max(flight_map_files, key=lambda p: p.stat().st_mtime)
-            self._add_image_with_caption(doc, str(latest), "航线规划", width=Inches(5.5))
+            if self._add_image_with_caption(doc, str(latest), "航线规划", width=Inches(5.5)):
+                if self.enable_ai_analysis:
+                    self._add_ai_analysis_paragraph(doc,
+                        self._analyze_flight_path_image(str(latest)))
 
         # 1. 高光谱原始图像
         hsi_path = work_dir_path / "1_water_mask" / "hsi_preview.png"
@@ -1491,15 +1496,16 @@ class WaterQualityReportGenerator:
         if wm_path.exists():
             h3 = doc.add_heading("水体区域识别：", level=3)
             self._style_heading(h3, level=3)
-            self._add_image_with_caption(doc, str(wm_path),
-                                         "水体区域识别（蓝色半透明区域为水域）",
-                                         width=Inches(5.5))
+            if self._add_image_with_caption(doc, str(wm_path),
+                                            "水体区域识别（蓝色半透明区域为水域）",
+                                            width=Inches(5.5)):
+                if self.enable_ai_analysis:
+                    self._add_ai_analysis_paragraph(doc,
+                        self._analyze_water_mask_overlay(str(wm_path)))
 
         # 3. 耀斑区域
-        glint_dirs = [
-            vis_dir / "glint_deglint_previews",
-            work_dir_path / "2_Glint_Detection",
-        ]
+        glint_dirs = [vis_dir / "glint_deglint_previews",
+                      work_dir_path / "2_Glint_Detection"]
         glint_img = None
         for d in glint_dirs:
             if d.exists():
@@ -1510,7 +1516,10 @@ class WaterQualityReportGenerator:
         if glint_img:
             h3 = doc.add_heading("耀斑区域识别结果：", level=3)
             self._style_heading(h3, level=3)
-            self._add_image_with_caption(doc, str(glint_img), "耀斑区域识别结果", width=Inches(5.5))
+            if self._add_image_with_caption(doc, str(glint_img), "耀斑区域识别结果", width=Inches(5.5)):
+                if self.enable_ai_analysis:
+                    self._add_ai_analysis_paragraph(doc,
+                        self._analyze_glint_distribution_with_ai(str(glint_img)))
 
         # 4. 去除耀斑后的图像
         deglint_img = None
@@ -1520,7 +1529,6 @@ class WaterQualityReportGenerator:
                 if cands:
                     deglint_img = cands[0]
                     break
-        # 也在 3_deglint 目录搜索
         deglint_dir2 = work_dir_path / "3_deglint"
         if deglint_img is None and deglint_dir2.exists():
             cands = sorted(deglint_dir2.glob("*.png"))
@@ -1531,27 +1539,21 @@ class WaterQualityReportGenerator:
             self._style_heading(h3, level=3)
             self._add_image_with_caption(doc, str(deglint_img), "去除耀斑后的影像", width=Inches(5.5))
 
-        # 5. 采样点分布图
+        # 5. 采样点分布图（找不到则整节跳过）
         sampling_map_dir = vis_dir / "sampling_maps"
-        h3 = doc.add_heading("采样点分布：", level=3)
-        self._style_heading(h3, level=3)
-
-        # 查找采样点分布图文件
         sampling_map_files = []
         if sampling_map_dir.exists():
-            sampling_map_files = list(sampling_map_dir.glob("*.png")) + list(sampling_map_dir.glob("*.jpg"))
+            sampling_map_files = (list(sampling_map_dir.glob("*.png"))
+                                + list(sampling_map_dir.glob("*.jpg")))
 
         if sampling_map_files:
-            # 使用最新的采样点分布图文件
+            h3 = doc.add_heading("采样点分布：", level=3)
+            self._style_heading(h3, level=3)
             latest_sampling_map = max(sampling_map_files, key=lambda p: p.stat().st_mtime)
-            success = self._add_image_with_caption(doc, str(latest_sampling_map), "采样点分布图", width=Inches(5.5))
-            
-            if success:
-                # AI 分析采样点分布图
-                sampling_analysis = self._analyze_sampling_distribution(str(latest_sampling_map))
-                self._add_ai_analysis_paragraph(doc, sampling_analysis)
-        else:
-            doc.add_paragraph("[采样点分布图 - 文件未找到]")
+            if self._add_image_with_caption(doc, str(latest_sampling_map), "采样点分布图", width=Inches(5.5)):
+                if self.enable_ai_analysis:
+                    self._add_ai_analysis_paragraph(doc,
+                        self._analyze_sampling_distribution(str(latest_sampling_map)))
 
     def _analyze_glint_distribution_with_ai(self, glint_img_path: str = None, original_img_path: str = None) -> str:
         """使用AI分析耀斑的位置分布"""