style: 按河南理工论文规范重排 — 封面/页眉页脚/标题字号/图表标题位置
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%!TEX program = xelatex
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\documentclass[12pt,a4paper,openany]{ctexbook}
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% --- 页面设置 ---
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% ==================== 页面设置 ====================
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\usepackage[top=2.5cm,bottom=2.5cm,left=3cm,right=2.5cm]{geometry}
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\usepackage{setspace}
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\onehalfspacing
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\onehalfspacing % 1.5倍行距
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% --- 字体 ---
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\setCJKmainfont{STSong}[AutoFakeBold=2]
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\setCJKsansfont{Noto Sans SC}
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\setCJKmonofont{FangSong}
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% ==================== 字体（河南理工规范） ====================
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% 正文: 宋体(小四≈12pt) | 标题: 黑体 | 封面信息: 仿宋
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% 数字和英文: Times New Roman (ctex 默认)
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\setCJKmainfont{STSong}[AutoFakeBold=2] % 宋体
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\setCJKsansfont{Noto Sans SC} % 黑体替代
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\setCJKmonofont{FangSong} % 仿宋
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\setmainfont{Times New Roman} % 英文/数字
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% --- 图表 ---
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% ==================== 页眉页脚 ====================
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\usepackage{fancyhdr}
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\usepackage{etoolbox}
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\pagestyle{fancy}
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\fancyhf{}
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\fancyhead[CO]{\zihao{-5}\songti 银发群体高温多时间尺度预警和服务优化可视化研究} % 奇数页
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\fancyhead[CE]{\zihao{-5}\songti 河南理工大学本科毕业设计（论文）} % 偶数页
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\fancyfoot[C]{\zihao{-5}\thepage}
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\renewcommand{\headrulewidth}{0.4pt}
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\fancypagestyle{plain}{
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\fancyhf{}
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\fancyfoot[C]{\zihao{-5}\thepage}
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\renewcommand{\headrulewidth}{0pt}
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}
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% 摘要页页眉
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\fancypagestyle{abstract}{
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\fancyhf{}
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\fancyhead[C]{\zihao{-5}\songti 摘要}
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\fancyfoot[C]{\zihao{-5}\thepage}
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\renewcommand{\headrulewidth}{0.4pt}
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}
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\fancypagestyle{abstract-en}{
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\fancyhf{}
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\fancyhead[C]{\zihao{-5}\songti ABSTRACT}
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\fancyfoot[C]{\zihao{-5}\thepage}
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\renewcommand{\headrulewidth}{0.4pt}
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}
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% ==================== 图表 ====================
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\usepackage{graphicx}
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\usepackage{float}
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\usepackage{subcaption}
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\usepackage{booktabs}
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\usepackage{longtable}
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% --- 参考文献 (GB/T 7714) ---
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% 表标题在上方居中（五号黑体加粗）
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\usepackage{caption}
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\captionsetup[table]{
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font={bf,small},
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labelsep=quad,
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position=above,
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skip=2pt,
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}
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% 图标题在下方居中（五号宋体）
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\captionsetup[figure]{
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font=small,
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labelsep=quad,
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position=below,
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skip=2pt,
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}
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% ==================== 参考文献 (GB/T 7714) ====================
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\usepackage[backend=biber,style=gb7714-2015]{biblatex}
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\addbibresource{refs.bib}
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% --- 超链接 ---
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% ==================== 超链接 ====================
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\usepackage[hidelinks]{hyperref}
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% --- 数学 ---
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% ==================== 数学 ====================
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\usepackage{amsmath,amssymb}
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\numberwithin{equation}{chapter} % 公式编号: 章.序号
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% --- 代码 ---
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% ==================== 代码 ====================
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\usepackage{listings}
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\lstset{
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basicstyle=\small\ttfamily,
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@@ -38,10 +87,36 @@
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numberstyle=\tiny,
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}
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% --- 其他 ---
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% ==================== 其他 ====================
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\usepackage{tikz}
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\usepackage{caption}
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\captionsetup{font=small,labelfont=bf}
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\usetikzlibrary{positioning,arrows}
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% ==================== 标题格式（河南理工规范） ====================
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% 一级标题(章): 小二号黑体(18pt) 加粗 居中
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\ctexset{
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chapter={
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format={\centering\zihao{-2}\heiti\bfseries},
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name={第,章},
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number=\arabic{chapter},
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beforeskip=20pt,
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afterskip=20pt,
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},
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section={
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format={\zihao{4}\heiti\bfseries}, % 四号黑体
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beforeskip=12pt,
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afterskip=6pt,
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},
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subsection={
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format={\zihao{-4}\heiti\bfseries}, % 小四号黑体
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beforeskip=8pt,
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afterskip=4pt,
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},
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subsubsection={
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format={\zihao{-4}\heiti},
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beforeskip=6pt,
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afterskip=4pt,
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},
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}
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\title{银发群体高温多时间尺度预警和服务优化可视化研究}
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\author{刘航宇}
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@@ -49,29 +124,39 @@
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\begin{document}
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% --- 封面 ---
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\begin{center}
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\vspace*{3cm}
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{\large\bfseries 本科毕业论文}\\[1cm]
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{\LARGE\bfseries 银发群体高温多时间尺度预警\\[0.3cm]和服务优化可视化研究}\\[2cm]
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{\large 学\hspace{2em}院：计算机科学与技术学院}\\[0.5cm]
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{\large 专\hspace{2em}业：计算机科学与技术}\\[0.5cm]
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{\large 姓\hspace{2em}名：刘航宇}\\[0.5cm]
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{\large 学\hspace{2em}号：}\\[0.5cm]
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{\large 指导教师：}\\[2cm]
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{\large \today}
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\end{center}
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% ==================== 封面 ====================
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\begin{titlepage}
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\thispagestyle{empty}
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\newpage
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\begin{center}
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\vspace*{2cm}
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{\zihao{1}\heiti\bfseries 本科毕业设计（论文）}\\[1.5cm]
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% --- 摘要 ---
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{\zihao{2}\heiti\bfseries 银发群体高温多时间尺度预警\\[0.2cm]和服务优化可视化研究}\\[3cm]
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{\zihao{4}\fangsong
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\begin{tabular}{rl}
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\textbf{学\hspace{2em}院：} & 计算机科学与技术学院 \\[0.3cm]
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\textbf{专\hspace{2em}业：} & 计算机科学与技术 \\[0.3cm]
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\textbf{姓\hspace{2em}名：} & 刘航宇 \\[0.3cm]
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\textbf{学\hspace{2em}号：} & \\[0.3cm]
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\textbf{指导教师：} & \\[1.5cm]
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\end{tabular}
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}
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\vfill
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{\zihao{4}\fangsong \today}
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\end{center}
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\end{titlepage}
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% ==================== 摘要 ====================
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\input{chapters/abstract}
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% --- 目录 ---
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% ==================== 目录 ====================
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\pagestyle{fancy}
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\tableofcontents
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\newpage
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% --- 正文 ---
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% ==================== 正文 ====================
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\input{chapters/ch1-intro}
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\input{chapters/ch2-theory}
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\input{chapters/ch3-data}
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@@ -80,10 +165,10 @@
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\input{chapters/ch6-results}
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\input{chapters/ch7-conclusion}
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% --- 参考文献 ---
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% ==================== 参考文献 ====================
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\printbibliography[title=参考文献]
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% --- 致谢 ---
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% ==================== 致谢 ====================
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\chapter*{致谢}
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\addcontentsline{toc}{chapter}{致谢}
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@@ -93,23 +178,60 @@
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感谢家人和朋友在学业期间的理解、支持与鼓励。
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% --- 附录 ---
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% ==================== 附录 ====================
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\appendix
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\ctexset{
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chapter={
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format={\centering\zihao{-2}\heiti\bfseries},
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name={附录},
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number=\Alph{chapter},
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},
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}
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\chapter{核心代码清单}
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本文核心代码已开源，完整项目结构及运行说明见附录B。
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本研究核心代码已开源至 Gitea 仓库 \texttt{git@lhy-git.liuhangyv.top:Serendipity/elderly-heat-warning.git}。项目采用模块化结构：
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\begin{verbatim}
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src/
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├── data/
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│ ├── download_era5.py # ERA5 数据下载（CDS API）
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│ ├── extract_zips.py # NetCDF ZIP 解压
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│ ├── preprocess.py # 数据预处理管线
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│ └── collect_mortality.py # 死亡率数据整理
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├── models/
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│ ├── lstm_attention.py # LSTM-Attention 模型定义
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│ ├── xgboost_baseline.py # XGBoost 基线
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│ ├── train.py # 训练脚本
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│ └── evaluate.py # 评估脚本
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├── web/
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│ ├── app.py # Flask 后端
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│ └── static/
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│ └── index.html # ECharts 前端大屏
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└── utils/
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└── config.py # 全局配置
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\end{verbatim}
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\chapter{系统运行说明}
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\section{环境配置}
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本项目使用 Python 3.13，依赖管理使用 uv。主要依赖包括 PyTorch、XGBoost、Flask、ECharts 等。
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\begin{itemize}
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\item Python 3.13
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\item PyTorch 2.12.0+cu126（GPU版本，CUDA 12.6）
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\item XGBoost 2.0+，Scikit-learn 1.3+
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\item Flask 3.0+，ECharts 5.5
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\item 环境管理：uv（虚拟环境 .venv）
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\end{itemize}
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\section{运行步骤}
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\begin{enumerate}
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\item 安装依赖：\texttt{uv pip install -e .}
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\item 数据获取：\texttt{python -m src.data.download\_era5}
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\item 数据预处理：\texttt{python -m src.data.preprocess}
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\item 模型训练：\texttt{python -m src.models.train}
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\item 启动可视化：\texttt{python -m src.web.app}
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\item 浏览器访问：\texttt{http://localhost:5005}
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\item \textbf{安装依赖}：\texttt{uv pip install -e .}
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\item \textbf{下载 ERA5 数据}：\texttt{python -m src.data.download\_era5}
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\item \textbf{解压 ZIP 格式数据}：\texttt{python -m src.data.extract\_zips}
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\item \textbf{运行预处理}：\texttt{python -m src.data.preprocess}
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\item \textbf{训练模型}：\texttt{python -m src.models.train}（LSTM）
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\item \textbf{评估模型}：\texttt{python -m src.models.evaluate}（含XGBoost）
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\item \textbf{启动可视化大屏}：\texttt{python -m src.web.app}
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\item \textbf{浏览器访问}：\texttt{http://localhost:5005}
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\end{enumerate}
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\end{document}
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