123/智能家居系统/HJJC.py

import tkinter as tk
from tkinter import ttk
from tkinter import Toplevel
import random
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg

# 初始化全局变量
root = tk.Tk()
root.title("智能家居系统-环境监测数据展示")

# 数据结构和全局变量
data_records = []
plot_window = None
figure = None
canvas = None
axs = None

# 函数定义

def setup_ui():
    """UI设置"""
    root.geometry("800x600")

def simulate_data():
    """数据模拟"""
    global temperature, humidity, light_intensity, pm2_5
    temperature = random.uniform(-15, 45)
    humidity = random.uniform(0, 100)
    light_intensity = random.randint(100, 5000)
    pm2_5 = random.uniform(0, 300)  # 假定PM2.5浓度范围
    data_records.append({
        "序号": len(data_records) + 1,
        "温度": temperature,
        "湿度": humidity,
        "光照强度": light_intensity,
        "PM2.5": pm2_5
    })
    update_treeview()
    if plot_window and figure and canvas:
        update_plots()

def update_treeview():
    """更新表格视图，包含PM2.5列及其等级"""
    treeview.delete(*treeview.get_children())
    for record in data_records:
        pm2_5_level_tag = get_pm2_5_level(record["PM2.5"])
        treeview.insert("", tk.END, values=(
            record["序号"],
            f"{record['温度']:.2f} °C",
            f"{record['湿度']:.2f}%",
            f"{record['光照强度']} lux",
            f"{record['PM2.5']:.2f} µg/m³{pm2_5_level_tag}"
        ))

def update_data_and_display():
    """定时更新数据"""
    simulate_data()
    root.after(5000, update_data_and_display)

def on_plot_window_close():
    """图表窗口关闭事件处理"""
    global plot_window
    plot_window.destroy()
    plot_window = None

def show_plot_window():
    """显示图表窗口，更新图表以包含PM2.5"""
    global plot_window, figure, axs, canvas
    if not plot_window:
        plot_window = Toplevel(root)
        plot_window.protocol("WM_DELETE_WINDOW", on_plot_window_close)
        plot_window.title("智能家居系统-环境数据走势图")
        figure, axs = plt.subplots(4, 1, figsize=(6, 10), sharex=True)
        figure.suptitle('智能家居系统-环境数据走势图')
        keys = ["温度", "湿度", "光照强度", "PM2.5"]
        for i, key in enumerate(keys):
            axs[i].set_title(f'{key}变化')
            axs[i].plot([r['序号'] for r in data_records], [r[key] for r in data_records], label=key)
            axs[i].legend()
            axs[i].grid(True)
        canvas = FigureCanvasTkAgg(figure, master=plot_window)
        canvas.draw()
        canvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=1)

def update_plots():
    """更新图表，包含PM2.5图"""
    for ax, key in zip(axs, ["温度", "湿度", "光照强度", "PM2.5"]):
        ax.clear()
        ax.plot([r['序号'] for r in data_records], [r[key] for r in data_records], label=key)
        ax.set_title(f'{key}变化')
        ax.legend()
        ax.grid(True)
    canvas.draw_idle()

# 设置matplotlib字体
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False

# UI组件初始化，添加PM2.5列
treeview = ttk.Treeview(root, columns=("序号", "温度", "湿度", "光照强度", "PM2.5"), show="headings")
treeview.column("序号", width=50, anchor=tk.CENTER)
treeview.column("温度", width=100, anchor=tk.CENTER)
treeview.column("湿度", width=100, anchor=tk.CENTER)
treeview.column("光照强度", width=120, anchor=tk.CENTER)
treeview.column("PM2.5", width=100, anchor=tk.CENTER)
treeview.heading("序号", text="序号")
treeview.heading("温度", text="温度")
treeview.heading("湿度", text="湿度")
treeview.heading("光照强度", text="光照强度")
treeview.heading("PM2.5", text="PM2.5")
treeview.pack(expand=True, fill=tk.BOTH, padx=10, pady=10)

plot_button = ttk.Button(root, text="监测走势图", command=show_plot_window)
plot_button.pack(pady=10)

setup_ui()

def get_pm2_5_level(pm2_5_value):
    """根据PM2.5值返回其等级标签"""
    if 0 <= pm2_5_value <= 35:
        return "（优）"
    elif 35 < pm2_5_value <= 75:
        return "（良）"
    elif 75 < pm2_5_value <= 115:
        return "（轻度污染）"
    elif 115 < pm2_5_value <= 150:
        return "（中度污染）"
    elif 150 < pm2_5_value <= 250:
        return "（重度污染）"
    else:
        return "（严重污染）"


# 主循环启动
update_data_and_display()
root.mainloop()