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格泰网站建设,微信二维码在线制作,太原网站建设口碑推荐,公司文化墙设计模板智能饮水管理程序设计与实现一、实际应用场景与痛点分析应用场景现代人工作繁忙#xff0c;常常忽视科学饮水#xff0c;导致身体脱水、新陈代谢下降、注意力不集中等问题。本程序面向需要科学管理饮水的用户#xff0c;特别是办公室人员、运动员、户外工作者和特殊健康状况…智能饮水管理程序设计与实现一、实际应用场景与痛点分析应用场景现代人工作繁忙常常忽视科学饮水导致身体脱水、新陈代谢下降、注意力不集中等问题。本程序面向需要科学管理饮水的用户特别是办公室人员、运动员、户外工作者和特殊健康状况人群。主要痛点1. 忘记饮水 - 工作繁忙时常忘记喝水2. 饮水不足 - 不了解自身实际需水量3. 饮水时机不当 - 集中在某个时间段饮水4. 忽略环境因素 - 气温、湿度、运动量等影响5. 缺乏个性化 - 标准建议不适应个体差异6. 难以坚持 - 缺乏提醒和激励二、核心逻辑与智能控制原理系统架构数据感知层 → 数据处理层 → 智能决策层 → 反馈执行层↓ ↓ ↓ ↓环境监测 → 需水计算 → 饮水决策 → 智能提醒用户输入 → 模糊推理 → 时间优化 → 效果评估核心智能控制原理1. 模糊控制 - 处理高温、中强度运动等模糊概念2. 专家系统 - 基于医学和运动科学知识的规则库3. 预测控制 - 基于生理模型预测需水量4. 自适应控制 - 根据用户反馈调整计划5. 强化学习 - 优化提醒时机和方式三、代码实现主程序smart_hydration_manager.py#!/usr/bin/env python3智能饮水管理系统基于智能控制原理的个性化饮水计划与提醒系统import jsonimport datetimeimport timeimport numpy as npfrom typing import Dict, List, Tuple, Optional, Anyfrom dataclasses import dataclass, asdictfrom enum import Enumimport matplotlib.pyplot as pltfrom matplotlib.patches import Circleimport threadingimport warningsfrom abc import ABC, abstractmethodimport randomimport loggingfrom dataclasses_json import dataclass_jsonimport os# 配置日志logging.basicConfig(levellogging.INFO,format%(asctime)s - %(name)s - %(levelname)s - %(message)s,handlers[logging.FileHandler(hydration.log),logging.StreamHandler()])logger logging.getLogger(__name__)class ActivityLevel(Enum):活动水平枚举模糊集合SEDENTARY 1.0 # 久坐LIGHT 1.2 # 轻度活动MODERATE 1.5 # 中度活动HIGH 1.8 # 高强度EXTREME 2.2 # 极端强度class EnvironmentFactor(Enum):环境因素枚举TEMPERATURE temperature # 温度HUMIDITY humidity # 湿度ALTITUDE altitude # 海拔INDOOR indoor # 室内外class WaterSource(Enum):水源类型枚举PLAIN_WATER 白水TEA 茶COFFEE 咖啡MILK 牛奶JUICE 果汁SPORTS_DRINK 运动饮料dataclass_jsondataclassclass WaterIntake:饮水记录timestamp: datetime.datetimeamount: float # 毫升source: WaterSourcetemperature: float 20.0 # 水温摄氏度note: str # 备注dataclass_jsondataclassclass SweatRecord:出汗记录timestamp: datetime.datetimeamount: float # 毫升activity_type: strduration: float # 分钟intensity: float # 强度 0-1dataclass_jsondataclassclass EnvironmentData:环境数据timestamp: datetime.datetimetemperature: float # 摄氏度humidity: float # 百分比altitude: float 0 # 米is_indoor: bool Truedataclass_jsondataclassclass UserProfile:用户基本信息user_id: strname: strage: intgender: str # male or femaleweight: float # 公斤height: float # 厘米activity_level: ActivityLevelhealth_conditions: List[str] # 健康状况wake_up_time: datetime.time datetime.time(7, 0) # 起床时间sleep_time: datetime.time datetime.time(23, 0) # 睡觉时间preferences: Dict[str, Any] None # 用户偏好class FuzzyHydrationController:模糊饮水控制器处理温度、湿度、活动强度等模糊概念def __init__(self):self.temperature_rules self._init_temperature_rules()self.humidity_rules self._init_humidity_rules()self.activity_rules self._init_activity_rules()def _init_temperature_rules(self) - Dict[str, Dict]:初始化温度模糊规则return {cold: {min: -10, optimal: 15, max: 20, weight: 0.9},cool: {min: 15, optimal: 22, max: 25, weight: 1.0},warm: {min: 22, optimal: 28, max: 30, weight: 1.2},hot: {min: 28, optimal: 33, max: 35, weight: 1.5},very_hot: {min: 33, optimal: 38, max: 45, weight: 2.0}}def _init_humidity_rules(self) - Dict[str, Dict]:初始化湿度模糊规则return {dry: {min: 0, optimal: 30, max: 40, weight: 1.3},comfortable: {min: 30, optimal: 50, max: 60, weight: 1.0},humid: {min: 50, optimal: 70, max: 80, weight: 0.9},very_humid: {min: 70, optimal: 85, max: 100, weight: 0.8}}def _init_activity_rules(self) - Dict[str, Dict]:初始化活动强度模糊规则return {sedentary: {min: 0, optimal: 0.2, max: 0.4, weight: 1.0},light: {min: 0.3, optimal: 0.5, max: 0.6, weight: 1.3},moderate: {min: 0.5, optimal: 0.7, max: 0.8, weight: 1.6},intense: {min: 0.7, optimal: 0.85, max: 0.9, weight: 2.0},extreme: {min: 0.85, optimal: 0.95, max: 1.0, weight: 2.5}}def calculate_temperature_factor(self, temp: float) - float:计算温度对饮水需求的影响因子membership {}for level, params in self.temperature_rules.items():if params[min] temp params[max]:# 计算隶属度三角隶属函数if temp params[optimal]:membership[level] (temp - params[min]) / (params[optimal] - params[min])else:membership[level] (params[max] - temp) / (params[max] - params[optimal])else:membership[level] 0# 加权平均计算影响因子total_weight sum(membership.values())if total_weight 0:factor sum(membership[level] * self.temperature_rules[level][weight]for level in membership) / total_weightelse:factor 1.0return round(factor, 2)def calculate_humidity_factor(self, humidity: float) - float:计算湿度对饮水需求的影响因子membership {}for level, params in self.humidity_rules.items():if params[min] humidity params[max]:if humidity params[optimal]:membership[level] (humidity - params[min]) / (params[optimal] - params[min])else:membership[level] (params[max] - humidity) / (params[max] - params[optimal])else:membership[level] 0total_weight sum(membership.values())if total_weight 0:factor sum(membership[level] * self.humidity_rules[level][weight]for level in membership) / total_weightelse:factor 1.0return round(factor, 2)def calculate_activity_factor(self, intensity: float) - float:计算活动强度对饮水需求的影响因子membership {}for level, params in self.activity_rules.items():if params[min] intensity params[max]:if intensity params[optimal]:membership[level] (intensity - params[min]) / (params[optimal] - params[min])else:membership[level] (params[max] - intensity) / (params[max] - params[optimal])else:membership[level] 0total_weight sum(membership.values())if total_weight 0:factor sum(membership[level] * self.activity_rules[level][weight]for level in membership) / total_weightelse:factor 1.0return round(factor, 2)def fuzzy_inference(self, temp: float, humidity: float, activity: float) - Dict[str, float]:模糊推理综合影响因子temp_factor self.calculate_temperature_factor(temp)humidity_factor self.calculate_humidity_factor(humidity)activity_factor self.calculate_activity_factor(activity)# 综合影响因子加权平均total_factor (temp_factor * 0.4 humidity_factor * 0.3 activity_factor * 0.3)return {temperature_factor: temp_factor,humidity_factor: humidity_factor,activity_factor: activity_factor,total_factor: total_factor}class HydrationCalculator:科学饮水计算器基于生理学公式计算需水量staticmethoddef calculate_basic_water_need(weight: float, activity_level: ActivityLevel) - float:计算基础需水量基础公式体重(kg) × 30-40 ml根据活动水平调整base_need weight * 35 # 35 ml/kgadjusted_need base_need * activity_level.valuereturn adjusted_needstaticmethoddef calculate_sweat_loss(weight_before: float, weight_after: float,water_intake: float, urine_output: float 0) - float:计算出汗量汗液流失量公式Δ体重 饮水 - 排尿单位毫升weight_change (weight_before - weight_after) * 1000 # kg to ml (近似)sweat_loss weight_change water_intake - urine_outputreturn max(sweat_loss, 0)staticmethoddef calculate_hourly_water_loss(weight: float, temp: float,humidity: float, activity: float) - float:计算每小时水分流失包括基础代谢、呼吸、皮肤蒸发、出汗# 基础水分流失不活动basal_loss weight * 0.5 # ml/hour# 温度影响temp_factor max(1.0, (temp - 20) * 0.05) # 每超过20度增加5%# 湿度影响humidity_factor 1.0if humidity 30:humidity_factor 1.3 # 干燥增加流失elif humidity 70:humidity_factor 0.9 # 潮湿减少流失# 活动影响activity_loss activity * weight * 10 # ml/hourtotal_loss basal_loss * temp_factor * humidity_factor activity_lossreturn total_lossstaticmethoddef calculate_optimal_water_temperature(env_temp: float,activity_level: float) - float:计算最佳饮水温度基于环境温度和活动水平if activity_level 0.7: # 高强度运动optimal_temp 10 # 运动后适宜10-15度elif env_temp 30: # 高温环境optimal_temp 15elif env_temp 10: # 低温环境optimal_temp 40else: # 常温环境optimal_temp 20return optimal_tempclass HydrationExpertSystem:饮水专家系统基于医学知识的规则库def __init__(self):self.rules self._initialize_rules()self.water_source_effects self._initialize_water_effects()def _initialize_rules(self) - List[Dict]:初始化专家规则库return [{name: 脱水警告,condition: lambda data: data.get(water_balance, 0) -500,action: 立即补充200-300ml水分小口慢饮,severity: high,message: ⚠️ 检测到轻度脱水风险请立即饮水},{name: 饮水不足,condition: lambda data: data.get(intake_percentage, 0) 0.5 anddata.get(hours_awake, 0) 8,action: 加快饮水进度每小时至少200ml,severity: medium,message: 今日饮水进度较慢建议增加饮水频率},{name: 过量饮水风险,condition: lambda data: data.get(hourly_intake, 0) 1000,action: 暂停饮水1-2小时让身体调节,severity: medium,message: ⚠️ 短时间内饮水过多可能引起水中毒},{name: 睡前饮水提醒,condition: lambda data: data.get(hours_to_sleep, 0) 2 anddata.get(recent_intake, 0) 200,action: 睡前1小时饮用100-200ml温水,severity: low,message: 睡前适量饮水有助于夜间新陈代谢},{name: 运动前饮水,condition: lambda data: data.get(planned_exercise, False) anddata.get(pre_exercise_hydration, 0) 300,action: 运动前30分钟补充300-500ml水分,severity: medium,message: 运动前请提前补充水分},{name: 运动后补水,condition: lambda data: data.get(post_exercise, False) anddata.get(sweat_loss, 0) 500,action: f运动后按每损失1公斤体重补充1.5升水的原则补水,severity: high,message: 运动后需要及时补充水分和电解质},{name: 起床饮水,condition: lambda data: data.get(hours_since_wakeup, 0) 1 anddata.get(morning_intake, 0) 300,action: 起床后30分钟内饮用300-500ml温水,severity: medium,message: 晨起第一杯水帮助身体唤醒},{name: 餐前饮水,condition: lambda data: data.get(hours_since_last_meal, 0) 3 anddata.get(pre_meal_intake, 0) 100,action: 餐前30分钟饮用100-200ml水,severity: low,message: ️ 餐前适量饮水有助于消化}]def _initialize_water_effects(self) - Dict[str, Dict]:初始化不同水源的补水效果return {白水: {hydration_factor: 1.0, notes: 最佳补水选择},茶: {hydration_factor: 0.9, notes: 含咖啡因适量饮用},咖啡: {hydration_factor: 0.8, notes: 利尿作用需额外补水},牛奶: {hydration_factor: 0.95, notes: 含蛋白质和电解质},果汁: {hydration_factor: 0.7, notes: 含糖分需适量},运动饮料: {hydration_factor: 1.1, notes: 含电解质适合大量出汗后}}def evaluate_hydration_status(self, user_data: Dict) - List[Dict]:评估饮水状态并返回建议recommendations []for rule in self.rules:try:if rule[condition](user_data):recommendations.append({name: rule[name],action: rule[action],severity: rule[severity],message: rule[message],timestamp: datetime.datetime.now()})except Exception as e:logger.warning(f规则执行失败: {rule[name]}, 错误: {e})# 按严重程度排序severity_order {high: 3, medium: 2, low: 1}recommendations.sort(keylambda x: severity_order[x[severity]], reverseTrue)return recommendations[:5] # 返回前5条建议def get_water_source_advice(self, water_type: WaterSource, amount: float) - Dict:获取不同水源的饮水建议if water_type.value in self.water_source_effects:effect self.water_source_effects[water_type.value]return {type: water_type.value,effective_hydration: amount * effect[hydration_factor],notes: effect[notes],recommendation: f饮水{amount}ml实际补水效果{amount * effect[hydration_factor]:.0f}ml}return {type: water_type.value, effective_hydration: amount, notes: 无特别建议}class AdaptiveScheduler:自适应饮水计划调度器基于强化学习优化饮水时间def __init__(self, user_profile: UserProfile):self.user user_profileself.learning_rate 0.1self.discount_factor 0.9self.q_table {} # Q-learning表self.optimal_times self._initialize_schedule()def _initialize_schedule(self) - List[Dict]:初始化饮水时间表# 基于用户作息时间生成初始时间表wake_up self.user.wake_up_timesleep_time self.user.sleep_time# 将清醒时间分为8个时段wake_hour wake_up.hoursleep_hour sleep_time.hour if sleep_time.hour wake_hour else sleep_time.hour 24total_hours sleep_hour - wake_hourinterval total_hours / 8schedule []for i in range(8):hour wake_hour interval * (i 0.5) # 时段中间if hour 24:hour - 24schedule.append({hour: hour,amount: 200, # 初始建议每次200mlpriority: 1.0,last_compliance: 0, # 上次遵守情况success_count: 0,total_count: 0})return scheduledef update_schedule(self, actual_intake: List[WaterIntake],compliance_data: Dict) - List[Dict]:根据实际饮水情况更新时间表if not actual_intake:return self.optimal_times# 分析实际饮水时间分布hourly_intake {}for intake in actual_intake:hour intake.timestamp.hourhourly_intake[hour] hourly_intake.get(hour, 0) intake.amount# 更新Q表和学习for i, slot in enumerate(self.optimal_times):hour int(slot[hour])actual_amount hourly_intake.get(hour, 0)# 计算奖励if actual_amount slot[amount] * 0.8: # 达到80%算成功reward 1slot[success_count] 1else:reward -0.5slot[total_count] 1success_rate slot[success_count] / max(slot[total_count], 1)# 更新优先级Q-learning简化版old_priority slot[priority]if hour in self.q_table:old_q self.q_table[hour]new_q old_q self.learning_rate * (reward self.discount_factor * success_rate - old_q)self.q_table[hour] new_qelse:self.q_table[hour] reward# 根据成功率调整if slot[total_count] 5: # 有足够数据后调整if success_rate 0.3: # 成功率低# 调整到相邻时间段self.optimal_times[i][hour] (hour 1) % 24elif success_rate 0.8: # 成功率高# 稍微增加饮水量self.optimal_times[i][amount] min(300, slot[amount] 20)slot[priority] success_rate# 按优先级排序self.optimal_times.sort(keylambda x: x[priority], reverseTrue)return self.optimal_timesdef get_next_reminder(self, current_time: datetime.datetime) - Optional[Dict]:获取下一个提醒时间current_hour current_time.hour current_time.minute / 60for slot in self.optimal_times:if slot[hour] current_hour:# 转换为具体时间reminder_time current_time.replace(hourint(slot[hour]),minuteint((slot[hour] % 1) * 60),second0)# 如果时间已过推到明天if reminder_time current_time:reminder_time datetime.timedelta(days1)return {time: reminder_time,amount: slot[amount],message: f该喝水啦建议饮用{slot[amount]}ml}return Noneclass HydrationMonitor:饮水监测器实时监测饮水状态def __init__(self, user_profile: UserProfile):self.user user_profileself.daily_goal self._calculate_daily_goal()self.current_intake 0self.intake_history []self.sweat_history []self.environment_history []self.start_time datetime.datetime.now().replace(hour0, minute0, second0)def _calculate_daily_goal(self) - float:计算每日饮水目标# 基础需水量base_need HydrationCalculator如果你觉得这个工具好用欢迎关注我