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import tkinter as tk
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from tkinter import ttk
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from tkinter import Toplevel
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import random
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import matplotlib.pyplot as plt
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from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
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# 初始化全局变量
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root = tk.Tk()
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root.title("智能家居系统-环境监测数据展示")
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# 数据结构和全局变量
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data_records = []
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plot_window = None
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figure = None
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canvas = None
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axs = None
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# 函数定义
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def setup_ui():
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"""UI设置"""
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root.geometry("800x600")
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def simulate_data():
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"""数据模拟"""
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global temperature, humidity, light_intensity, pm2_5
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temperature = random.uniform(-15, 45)
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humidity = random.uniform(0, 100)
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light_intensity = random.randint(100, 5000)
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pm2_5 = random.uniform(0, 300) # 假定PM2.5浓度范围
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data_records.append({
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"序号": len(data_records) + 1,
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"温度": temperature,
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"湿度": humidity,
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"光照强度": light_intensity,
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"PM2.5": pm2_5
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})
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update_treeview()
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if plot_window and figure and canvas:
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update_plots()
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def update_treeview():
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"""更新表格视图，包含PM2.5列及其等级"""
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treeview.delete(*treeview.get_children())
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for record in data_records:
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pm2_5_level_tag = get_pm2_5_level(record["PM2.5"])
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treeview.insert("", tk.END, values=(
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record["序号"],
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f"{record['温度']:.2f} °C",
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f"{record['湿度']:.2f}%",
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f"{record['光照强度']} lux",
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f"{record['PM2.5']:.2f} µg/m³{pm2_5_level_tag}"
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))
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def update_data_and_display():
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"""定时更新数据"""
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simulate_data()
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root.after(5000, update_data_and_display)
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def on_plot_window_close():
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"""图表窗口关闭事件处理"""
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global plot_window
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plot_window.destroy()
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plot_window = None
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def show_plot_window():
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"""显示图表窗口，更新图表以包含PM2.5"""
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global plot_window, figure, axs, canvas
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if not plot_window:
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plot_window = Toplevel(root)
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plot_window.protocol("WM_DELETE_WINDOW", on_plot_window_close)
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plot_window.title("智能家居系统-环境数据走势图")
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figure, axs = plt.subplots(4, 1, figsize=(6, 10), sharex=True)
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figure.suptitle('智能家居系统-环境数据走势图')
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keys = ["温度", "湿度", "光照强度", "PM2.5"]
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for i, key in enumerate(keys):
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axs[i].set_title(f'{key}变化')
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axs[i].plot([r['序号'] for r in data_records], [r[key] for r in data_records], label=key)
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axs[i].legend()
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axs[i].grid(True)
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canvas = FigureCanvasTkAgg(figure, master=plot_window)
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canvas.draw()
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canvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=1)
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def update_plots():
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"""更新图表，包含PM2.5图"""
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for ax, key in zip(axs, ["温度", "湿度", "光照强度", "PM2.5"]):
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ax.clear()
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ax.plot([r['序号'] for r in data_records], [r[key] for r in data_records], label=key)
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ax.set_title(f'{key}变化')
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ax.legend()
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ax.grid(True)
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canvas.draw_idle()
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# 设置matplotlib字体
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plt.rcParams['font.sans-serif'] = ['SimHei']
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plt.rcParams['axes.unicode_minus'] = False
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# UI组件初始化，添加PM2.5列
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treeview = ttk.Treeview(root, columns=("序号", "温度", "湿度", "光照强度", "PM2.5"), show="headings")
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treeview.column("序号", width=50, anchor=tk.CENTER)
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treeview.column("温度", width=100, anchor=tk.CENTER)
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treeview.column("湿度", width=100, anchor=tk.CENTER)
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treeview.column("光照强度", width=120, anchor=tk.CENTER)
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treeview.column("PM2.5", width=100, anchor=tk.CENTER)
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treeview.heading("序号", text="序号")
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treeview.heading("温度", text="温度")
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treeview.heading("湿度", text="湿度")
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treeview.heading("光照强度", text="光照强度")
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treeview.heading("PM2.5", text="PM2.5")
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treeview.pack(expand=True, fill=tk.BOTH, padx=10, pady=10)
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plot_button = ttk.Button(root, text="监测走势图", command=show_plot_window)
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plot_button.pack(pady=10)
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setup_ui()
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def get_pm2_5_level(pm2_5_value):
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"""根据PM2.5值返回其等级标签"""
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if 0 <= pm2_5_value <= 35:
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return "（优）"
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elif 35 < pm2_5_value <= 75:
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return "（良）"
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elif 75 < pm2_5_value <= 115:
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return "（轻度污染）"
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elif 115 < pm2_5_value <= 150:
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return "（中度污染）"
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elif 150 < pm2_5_value <= 250:
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return "（重度污染）"
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else:
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return "（严重污染）"
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# 主循环启动
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update_data_and_display()
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root.mainloop() |
