【Java毕设】饮食健康管理系统 SpringBoot+Vue框架计算机毕业设计项目 Idea+Navicat+MySQL安装附源码+文档+讲解

前言

💖💖作者：计算机程序员小杨
💙💙个人简介：我是一名计算机相关专业的从业者，擅长Java、微信小程序、Python、Golang、安卓Android等多个IT方向。会做一些项目定制化开发、代码讲解、答辩教学、文档编写、也懂一些降重方面的技巧。热爱技术，喜欢钻研新工具和框架，也乐于通过代码解决实际问题，大家有技术代码这一块的问题可以问我！
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一.开发工具简介

开发语言：Java+Python（两个版本都支持）
后端框架：Spring Boot(Spring+SpringMVC+Mybatis)+Django（两个版本都支持）
前端：Vue+ElementUI+HTML
数据库：MySQL
系统架构：B/S
开发工具：IDEA（Java的）或者PyCharm（Python的）

二.系统内容简介

饮食健康管理系统是一款基于SpringBoot+Vue技术栈开发的智能化饮食管理平台，专注于为用户提供科学、便捷的饮食健康监测与指导服务。该系统采用现代化的前后端分离架构设计，后端基于SpringBoot框架构建稳定高效的RESTful API服务，前端运用Vue.js框架打造直观友好的用户交互界面。系统核心功能围绕饮食记录、营养分析、个性化推荐等关键环节展开，用户可以通过简洁的操作界面快速记录每日膳食摄入情况，系统会自动计算食物的热量、蛋白质、脂肪、碳水化合物等关键营养成分含量，并生成详细的营养摄入报告和可视化图表。系统内置丰富的食物营养数据库和智能算法引擎，能够根据用户的年龄、性别、身高体重、运动量等个人特征，结合当前健康状况和饮食偏好，为用户量身定制科学合理的饮食方案和营养搭配建议。平台支持饮食习惯追踪、营养目标设定、健康预警提醒等多元化功能，帮助用户建立良好的饮食习惯，实现从随意饮食到科学膳食的健康生活方式转变，为现代人的饮食健康管理提供专业可靠的数字化解决方案。

三.系统功能演示

饮食健康管理系统-链接

四.系统界面展示

在这里插入图片描述

五.系统源码展示

SparkSession spark = SparkSession.builder().appName("DietHealthProcessor").config("spark.master", "local").getOrCreate();
@Service
public class NutritionAnalysisService {
    @Autowired
    private DietRecordRepository dietRecordRepository;
    @Autowired
    private FoodNutritionRepository foodNutritionRepository;
    public NutritionReport analyzeDailyNutrition(Long userId, Date targetDate) {
        List<DietRecord> dailyRecords = dietRecordRepository.findByUserIdAndRecordDate(userId, targetDate);
        if (dailyRecords.isEmpty()) {
            throw new BusinessException("当日暂无饮食记录，无法进行营养分析");
        }
        double totalCalories = 0.0;
        double totalProtein = 0.0;
        double totalFat = 0.0;
        double totalCarbohydrate = 0.0;
        double totalFiber = 0.0;
        double totalSodium = 0.0;
        Map<String, Double> vitaminIntake = new HashMap<>();
        Map<String, Double> mineralIntake = new HashMap<>();
        for (DietRecord record : dailyRecords) {
            FoodNutrition nutrition = foodNutritionRepository.findByFoodId(record.getFoodId());
            double portionRatio = record.getPortionSize() / 100.0;
            totalCalories += nutrition.getCalories() * portionRatio;
            totalProtein += nutrition.getProtein() * portionRatio;
            totalFat += nutrition.getFat() * portionRatio;
            totalCarbohydrate += nutrition.getCarbohydrate() * portionRatio;
            totalFiber += nutrition.getFiber() * portionRatio;
            totalSodium += nutrition.getSodium() * portionRatio;
            updateVitaminIntake(vitaminIntake, nutrition.getVitamins(), portionRatio);
            updateMineralIntake(mineralIntake, nutrition.getMinerals(), portionRatio);
        }
        UserProfile profile = userProfileRepository.findByUserId(userId);
        NutritionRequirement requirement = calculateNutritionRequirement(profile);
        double calorieBalance = totalCalories - requirement.getRequiredCalories();
        Map<String, String> nutritionStatus = evaluateNutritionStatus(totalProtein, totalFat, totalCarbohydrate, requirement);
        List<String> nutritionAdvice = generateNutritionAdvice(nutritionStatus, calorieBalance);
        NutritionReport report = new NutritionReport();
        report.setUserId(userId);
        report.setAnalysisDate(targetDate);
        report.setTotalCalories(totalCalories);
        report.setTotalProtein(totalProtein);
        report.setTotalFat(totalFat);
        report.setTotalCarbohydrate(totalCarbohydrate);
        report.setVitaminIntake(vitaminIntake);
        report.setMineralIntake(mineralIntake);
        report.setCalorieBalance(calorieBalance);
        report.setNutritionStatus(nutritionStatus);
        report.setNutritionAdvice(nutritionAdvice);
        return report;
    }
}
@Service
public class PersonalizedMealPlanService {
    @Autowired
    private UserProfileRepository userProfileRepository;
    @Autowired
    private DietPreferenceRepository dietPreferenceRepository;
    @Autowired
    private RecipeRepository recipeRepository;
    public WeeklyMealPlan generateWeeklyMealPlan(Long userId) {
        UserProfile profile = userProfileRepository.findByUserId(userId);
        DietPreference preference = dietPreferenceRepository.findByUserId(userId);
        if (profile == null || preference == null) {
            throw new BusinessException("用户信息不完整，无法生成个性化饮食计划");
        }
        NutritionRequirement dailyRequirement = calculateDailyNutritionRequirement(profile);
        List<String> allergens = preference.getAllergens();
        List<String> dislikedFoods = preference.getDislikedFoods();
        String dietaryType = preference.getDietaryType();
        List<Recipe> availableRecipes = recipeRepository.findSuitableRecipes(allergens, dislikedFoods, dietaryType);
        Map<String, List<MealPlan>> weeklyPlan = new HashMap<>();
        String[] daysOfWeek = {"周一", "周二", "周三", "周四", "周五", "周六", "周日"};
        for (String day : daysOfWeek) {
            List<MealPlan> dailyMeals = new ArrayList<>();
            MealPlan breakfast = selectOptimalMeal(availableRecipes, "早餐", dailyRequirement.getBreakfastCalories());
            MealPlan lunch = selectOptimalMeal(availableRecipes, "午餐", dailyRequirement.getLunchCalories());
            MealPlan dinner = selectOptimalMeal(availableRecipes, "晚餐", dailyRequirement.getDinnerCalories());
            List<MealPlan> snacks = selectHealthySnacks(availableRecipes, dailyRequirement.getSnackCalories());
            dailyMeals.add(breakfast);
            dailyMeals.add(lunch);
            dailyMeals.add(dinner);
            dailyMeals.addAll(snacks);
            double dailyCalories = dailyMeals.stream().mapToDouble(MealPlan::getCalories).sum();
            double dailyProtein = dailyMeals.stream().mapToDouble(MealPlan::getProtein).sum();
            adjustMealPortions(dailyMeals, dailyRequirement, dailyCalories, dailyProtein);
            weeklyPlan.put(day, dailyMeals);
        }
        List<String> shoppingList = generateShoppingList(weeklyPlan);
        double estimatedCost = calculateEstimatedCost(shoppingList);
        WeeklyMealPlan plan = new WeeklyMealPlan();
        plan.setUserId(userId);
        plan.setWeeklyPlan(weeklyPlan);
        plan.setShoppingList(shoppingList);
        plan.setEstimatedCost(estimatedCost);
        plan.setGeneratedDate(new Date());
        return plan;
    }
}
@Service
public class DietHealthRiskService {
    @Autowired
    private DietHistoryRepository dietHistoryRepository;
    @Autowired
    private HealthIndicatorRepository healthIndicatorRepository;
    public HealthRiskAssessment assessDietHealthRisk(Long userId) {
        List<DietHistory> recentDietHistory = dietHistoryRepository.findTop90ByUserIdOrderByRecordDateDesc(userId);
        List<HealthIndicator> healthIndicators = healthIndicatorRepository.findByUserId(userId);
        if (recentDietHistory.isEmpty()) {
            throw new BusinessException("饮食历史数据不足，无法进行健康风险评估");
        }
        Map<String, Double> nutritionAverages = calculateNutritionAverages(recentDietHistory);
        double avgDailyCalories = nutritionAverages.get("calories");
        double avgDailyFat = nutritionAverages.get("fat");
        double avgDailySodium = nutritionAverages.get("sodium");
        double avgDailySugar = nutritionAverages.get("sugar");
        double avgDailyFiber = nutritionAverages.get("fiber");
        UserProfile profile = userProfileRepository.findByUserId(userId);
        double obesityRisk = calculateObesityRisk(avgDailyCalories, profile.getBMI(), profile.getActivityLevel());
        double diabetesRisk = calculateDiabetesRisk(avgDailySugar, avgDailyFiber, profile.getFamilyHistory());
        double cardiovascularRisk = calculateCardiovascularRisk(avgDailyFat, avgDailySodium, profile.getAge());
        double hypertensionRisk = calculateHypertensionRisk(avgDailySodium, avgDailyCalories, profile.getBloodPressure());
        Map<String, Double> riskScores = new HashMap<>();
        riskScores.put("肥胖风险", obesityRisk);
        riskScores.put("糖尿病风险", diabetesRisk);
        riskScores.put("心血管疾病风险", cardiovascularRisk);
        riskScores.put("高血压风险", hypertensionRisk);
        String overallRiskLevel = determineOverallRiskLevel(riskScores);
        List<String> riskFactors = identifyDietRiskFactors(nutritionAverages, profile);
        List<String> improvementSuggestions = generateImprovementSuggestions(riskFactors, overallRiskLevel);
        Date nextAssessmentDate = calculateNextAssessmentDate(overallRiskLevel);
        HealthRiskAssessment assessment = new HealthRiskAssessment();
        assessment.setUserId(userId);
        assessment.setRiskScores(riskScores);
        assessment.setOverallRiskLevel(overallRiskLevel);
        assessment.setRiskFactors(riskFactors);
        assessment.setImprovementSuggestions(improvementSuggestions);
        assessment.setAssessmentDate(new Date());
        assessment.setNextAssessmentDate(nextAssessmentDate);
        return assessment;
    }
}

六.系统文档展示