CN110827954A - Intelligent health menu recommendation system - Google Patents

The invention discloses an intelligent health menu recommending system, belongs to the field of intelligent home furnishing, and solves the problem that a menu recommending system in the prior art cannot meet the short-term change requirement of a user body. The intelligent health menu recommendation method is mainly used for intelligently recommending health menus.

一种健康菜谱智能推荐系统An intelligent recommendation system for healthy recipes

技术领域technical field

本发明涉及智能家居，特别是一种健康菜谱智能推荐系统。The invention relates to a smart home, in particular to an intelligent recommendation system for healthy recipes.

背景技术Background technique

现阶段中国越来越多的青年人群，特别是上班族追求轻便的生活方式，一日三餐基本利用外卖解决，由此引起的肥胖等健康问题日趋严重。越来越多的人虽然有健康意识，但是健康知识不足，因此希望有专业性支持。随着人们健康意识的提高和保健食品的盲目发展，市场形势纷繁复杂，虚假宣传屡见不鲜。智能家电厂商也重视此社会问题，积极寻求解决方案。为了让用户能够根据自身情况得到推荐相应的健康饮食，出现过各种现有技术。例如在发明专利申请CN106156535A中公开了一种食品数据的处理方法，其中提到先获取人体基本信息、然后根据所述人体基本信息确定人体健康状态、再根据所述人体健康状态进行食品的推荐。又如发明专利申请CN107705854A公开了一种家庭健康管理系统，其中提到厨房管理终端，会根据用户的身体状态关键词以及季节关键词从自身数据库或网络中搜索匹配的菜谱，并将匹配的菜谱通过所述液晶显示屏推送至用户。再如发明专利申请CN108053871A公开了一种智能化营养食谱搭配系统，其中提到将家庭营养需求数据、点选数据、身体指标数据、营养分析数据以及营养搭配数据结合，构成每日家庭食谱。要知道通过食物改善身体健康状况是一个长期的过程，上述几个专利申请的出发点也都是从长期改善的方向解决了食品推荐问题，无法根据用户短时间内的热量消耗或者一些特殊情况来推荐相应菜谱。At this stage, more and more young people in China, especially office workers, are pursuing a light lifestyle and basically use takeaways for three meals a day. The resulting health problems such as obesity are becoming more and more serious. More and more people are health-conscious, but lack of health knowledge, so they hope for professional support. With the improvement of people's health awareness and the blind development of health food, the market situation is complicated, and false propaganda is not uncommon. Smart home appliance manufacturers also attach importance to this social problem and actively seek solutions. In order to allow users to recommend corresponding healthy diets according to their own conditions, various existing technologies have appeared. For example, in the invention patent application CN106156535A, a method for processing food data is disclosed, in which it is mentioned that the basic information of the human body is obtained first, then the health status of the human body is determined according to the basic information of the human body, and then the food is recommended according to the health status of the human body. Another example is the invention patent application CN107705854A, which discloses a family health management system, which refers to a kitchen management terminal, which will search for matching recipes from its own database or network according to the user's physical state keywords and seasonal keywords, and will match the recipes. It is pushed to the user through the liquid crystal display screen. Another example is the invention patent application CN108053871A which discloses an intelligent nutrition recipe matching system, which mentions that the family nutrition requirement data, selection data, body index data, nutrition analysis data and nutrition matching data are combined to form daily family recipes. It is necessary to know that improving physical health through food is a long-term process. The starting point of the above-mentioned patent applications is to solve the problem of food recommendation from the direction of long-term improvement, and it cannot be recommended according to the user's calorie consumption in a short time or some special circumstances. corresponding recipe.

发明内容SUMMARY OF THE INVENTION

本发明所要达到的目的就是提供一种健康菜谱智能推荐系统，根据用户自身的健康状况推荐健康菜谱的同时，还可以结合用户在一定时间内的运动变化数据来更新健康菜谱，更加符合日常生活的需要。The purpose of the present invention is to provide an intelligent recommendation system for healthy recipes. While recommending healthy recipes according to the user's own health status, it can also update the healthy recipes in combination with the user's movement change data within a certain period of time, which is more in line with daily life. need.

为了达到上述目的，本发明采用如下技术方案：一种健康菜谱智能推荐系统，包括信息获取单元、云服务器、菜谱推送单元，信息获取单元包括获取用户的基础健康数据并上传至云服务器的用户基础信息获取单元，云服务器根据用户的基础健康数据与标准参考数据比较获得健康差异数据，云服务器根据健康差异数据筛选出健康菜谱并发送至菜谱推送单元，用户从菜谱推送单元获取健康菜谱制作食用菜肴，信息获取单元还包括获取用户的运动变化数据并上传至云服务器的用户运动信息获取单元，云服务器通过用户运动信息获取单元接收用户的运动变化数据，将用户的运动变化数据与该用户前一次的基础健康数据进行处理获取健康变化数据，再根据健康变化数据推荐新的健康菜谱并发送至菜谱推送单元。In order to achieve the above purpose, the present invention adopts the following technical solutions: an intelligent recommendation system for healthy recipes, including an information acquisition unit, a cloud server, and a recipe push unit, and the information acquisition unit includes a user base that acquires basic health data of users and uploads them to the cloud server. Information acquisition unit, the cloud server obtains health difference data according to the user's basic health data and standard reference data, the cloud server filters out healthy recipes according to the health difference data and sends them to the recipe push unit, and the user obtains healthy recipes from the recipe push unit to make edible dishes , the information acquisition unit also includes a user motion information acquisition unit that acquires the user's motion change data and uploads it to the cloud server, the cloud server receives the user's motion change data through the user motion information acquisition unit, and compares the user's motion change data with the user's previous The basic health data is processed to obtain health change data, and then new healthy recipes are recommended according to the health change data and sent to the recipe push unit.

作为优选的方案，所述用户信息获取单元包括检测器，用户基础信息获取单元通过检测器在用户使用用户基础信息获取单元时获取用户的基础健康数据；或者，所述用户基础信息获取单元通过用户主动输入来获取用户的基础健康数据。As a preferred solution, the user information acquisition unit includes a detector, and the user basic information acquisition unit acquires the user's basic health data through the detector when the user uses the user basic information acquisition unit; Active input to obtain basic health data of users.

作为优选的方案，所述用户的基础健康数据包括年龄、性别、身体特质、饮食偏好、宗教信仰、特殊身体状况中的一种或多种。As a preferred solution, the basic health data of the user includes one or more of age, gender, physical characteristics, dietary preferences, religious beliefs, and special physical conditions.

作为优选的方案，所述信息获取单元还包括获取库存食材的食材信息获取单元，云服务器筛选出健康菜谱后根据食材信息获取单元上传的库存食材信息优先推荐与库存食材相关的健康菜谱。As a preferred solution, the information acquisition unit further includes an ingredient information acquisition unit for acquiring stocked ingredients, and after the cloud server selects healthy recipes, it preferentially recommends healthy recipes related to the stocked ingredients according to the stocked ingredient information uploaded by the ingredient information acquisition unit.

作为进一步优选的方案，所述库存食材包括家庭冰箱的食材、周边商超菜场在售食材、合作生鲜电商在售食材中的一种或多种。As a further preferred solution, the stocked ingredients include one or more of ingredients in a home refrigerator, ingredients on sale in surrounding supermarkets and vegetable markets, and ingredients sold by cooperative fresh food e-commerce companies.

作为优选的方案，所述健康菜谱包含的信息包括菜肴的配料及用量、菜肴的总量、营养成分含量、总热量、烹饪方法中的一种或多种。As a preferred solution, the information contained in the healthy recipe includes one or more of the ingredients and dosage of the dish, the total amount of the dish, the content of nutrient components, the total calories, and a cooking method.

作为优选的方案，所述云服务器接收用户的运动变化数据的时间间隔是从上一餐到下一餐之间。As a preferred solution, the time interval for the cloud server to receive the user's movement change data is from the last meal to the next meal.

作为进一步优选的方案，所述运动变化数据包括用户维持日常生活的日常热量消耗和用户锻炼的运动热量消耗。As a further preferred solution, the exercise change data includes the daily calorie consumption of the user to maintain daily life and the exercise calorie consumption of the user's exercise.

作为优选的方案，所述健康菜谱智能推荐系统还包括自助烹饪单元，自助烹饪单元从菜谱推送单元获取用户选择的健康菜谱进行自动烹饪。As a preferred solution, the intelligent recommendation system for healthy recipes further includes a self-service cooking unit, and the self-service cooking unit acquires the healthy recipes selected by the user from the recipe push unit for automatic cooking.

作为优选的方案，所述云服务器根据用户的健康差异数据向用户推荐一个固定周期的饮食调节计划，并根据健康变化数据进行修正调整。As a preferred solution, the cloud server recommends a fixed-period diet adjustment plan to the user according to the user's health difference data, and makes corrections and adjustments according to the health change data.

采用上述技术方案后，本发明具有如下优点：首先利用用户基础信息获取单元获取用户的基础健康数据，再通过云服务器与标准参考数据进行比较获得健康差异数据，从而获得该用户的身体状况在哪些方面需要通过食物补充调节，接着就可以根据健康差异数据筛选出健康菜谱推荐给用户，然后在一定时间间隔内，根据用户的运动变化数据引起的健康变化数据推荐下一餐的健康菜谱，由于运动变化数据是变量数据，每天都会发生变化，因此可以利用运动变化数据对基础健康数据进行优化补偿，从而实现对推荐的健康菜谱进行循环优化的自动微调，用户短时间的运动消耗通过食物及时补充相应热量，从而可以做到一日三餐都能通过食物精准调节身体健康状况，进一步提高推荐健康菜谱的精确性，更有利于用户在长期的日常生活中通过食物改善身体健康状况。After adopting the above technical solution, the present invention has the following advantages: firstly, the basic health data of the user is obtained by using the user's basic information acquisition unit, and then the health difference data is obtained by comparing the cloud server with the standard reference data, thereby obtaining the physical condition of the user. In terms of food supplement adjustment, healthy recipes can be screened out and recommended to users based on health difference data, and then within a certain time interval, healthy recipes for the next meal can be recommended based on the health change data caused by the user’s exercise change data. Change data is variable data and changes every day. Therefore, exercise change data can be used to optimize and compensate basic health data, so as to realize automatic fine-tuning of cycle optimization of recommended healthy recipes, and users’ short-term exercise consumption can be supplemented by food in time. Therefore, it is possible to accurately adjust the health status of the body through food for three meals a day, further improve the accuracy of recommended healthy recipes, and is more conducive to users to improve their health status through food in their long-term daily life.

附图说明Description of drawings

下面结合附图对本发明作进一步说明：The present invention will be further described below in conjunction with the accompanying drawings:

图1为本发明实施例一的示意图；1 is a schematic diagram of Embodiment 1 of the present invention;

图2为本发明实施例二的示意图；2 is a schematic diagram of Embodiment 2 of the present invention;

图3为本发明实施例三的示意图。FIG. 3 is a schematic diagram of Embodiment 3 of the present invention.

具体实施方式Detailed ways

实施例一：Example 1:

本发明提供一种健康菜谱智能推荐系统，如图1所示，包括信息获取单元、云服务器2、菜谱推送单元3，信息获取单元包括获取用户的基础健康数据并上传至云服务器2的用户基础信息获取单元1，云服务器2根据用户的基础健康数据与标准参考数据比较获得健康差异数据，云服务器2根据健康差异数据筛选出健康菜谱并发送至菜谱推送单元3，用户从菜谱推送单元3获取健康菜谱制作食用菜肴，信息获取单元还包括获取用户的运动变化数据并上传至云服务器2的用户运动信息获取单元4，云服务器2通过用户运动信息获取单元4接收用户的运动变化数据，将用户的运动变化数据与该用户前一次的基础健康数据进行处理获取健康变化数据，再根据健康变化数据推荐新的健康菜谱并发送至菜谱推送单元3。The present invention provides an intelligent recommendation system for healthy recipes. As shown in FIG. 1 , it includes an information acquisition unit, a cloud server 2 and a recipe push unit 3 . The information acquisition unit includes a user base that acquires basic health data of users and uploads them to the cloud server 2 Information acquisition unit 1, cloud server 2 obtains health difference data according to the user’s basic health data and standard reference data, cloud server 2 filters out healthy recipes according to the health difference data and sends them to the recipe push unit 3, and the user obtains from the recipe push unit 3 Healthy recipes are used to make edible dishes, and the information acquisition unit also includes a user exercise information acquisition unit 4 that acquires the user's exercise change data and uploads it to the cloud server 2. The cloud server 2 receives the user's exercise change data through the user exercise information acquisition unit 4, and converts the user's exercise change data. The exercise change data and the user's previous basic health data are processed to obtain the health change data, and then a new healthy recipe is recommended according to the health change data and sent to the recipe push unit 3 .

由于用户第一次使用本发明的健康菜谱智能推荐系统时，健康菜谱智能推荐系统只能获得用户的基础健康数据，因此首先利用用户基础信息获取单元1获取用户的基础健康数据，再通过云服务器2与标准参考数据进行比较获得健康差异数据，从而获得该用户的身体状况在哪些方面需要通过食物补充调节，接着就可以根据健康差异数据筛选出健康菜谱推荐给用户，然后在一定时间间隔内，根据用户的运动变化数据引起的健康变化数据推荐下一餐的健康菜谱，由于运动变化数据是变量数据，每天都会发生变化，因此可以利用运动变化数据对基础健康数据进行优化补偿，从而实现对推荐的健康菜谱进行循环优化的自动微调，用户短时间的运动消耗通过食物及时补充相应热量，从而可以做到一日三餐都能通过食物精准调节身体健康状况，进一步提高推荐健康菜谱的精确性，更有利于用户在长期的日常生活中通过食物改善身体健康状况。Because when the user uses the intelligent recommendation system for healthy recipes of the present invention for the first time, the intelligent recommendation system for healthy recipes can only obtain the basic health data of the user. Therefore, the basic health data of the user is first obtained by the user basic information obtaining unit 1, and then the basic health data of the user is obtained through the cloud server. 2. Compare with the standard reference data to obtain health difference data, so as to obtain which aspects of the user's physical condition need to be adjusted by food supplementation, and then select healthy recipes and recommend them to the user according to the health difference data, and then within a certain time interval, Recommend healthy recipes for the next meal according to the health change data caused by the user's exercise change data. Since the exercise change data is variable data and changes every day, the exercise change data can be used to optimize the compensation for the basic health data, so as to realize the recommendation The healthy recipes are automatically fine-tuned for cycle optimization, and the user's short-term exercise consumption can replenish the corresponding calories through food in time, so that the health status of the body can be accurately adjusted through food for three meals a day, and the accuracy of recommended healthy recipes can be further improved. It is more beneficial for users to improve their physical health through food in their long-term daily life.

举例说明，用户早晨起床后，用户基础信息获取单元1获取用户的基础健康数据并上传至云服务器2的用户基础信息获取单元1，云服务器2获得当前用户的健康差异数据并推荐了营养早餐，该用户上午在公司上班，除了身体正常热量消耗之外，没有其他运动，只走了1000步，用户基础信息获取单元1获得这一运动变化数据，云服务器2就根据这一运动变化数据引起的健康变化数据推荐午餐的健康菜谱，该用户下午4点去游泳了1小时，用户基础信息获取单元1获得这一运动变化数据，云服务器2就根据这一运动变化数据引起的健康变化数据推荐晚餐的健康菜谱。而为了让健康变化数据更加精准，还可以让用户主动输入在一日三餐之间摄入的水果点心、饮料等信息，云服务器2根据这些信息进行补偿调整。新用户第一次使用本系统，可以通过智能手机接入系统，进行用户身份绑定，并录入一些诸如年龄、性别、身高、体重等一些简单的基础健康数据。菜谱推送单元3可以是智能手机、平板电脑、或者带显示屏的智能家电，例如现在市场上出现的带显示屏的抽油烟机等等。此外，用户的基础健康数据还可以从合作的体检机构联网获取，只要用户授权即可。For example, after the user gets up in the morning, the user's basic information acquisition unit 1 acquires the user's basic health data and uploads it to the user's basic information acquisition unit 1 of the cloud server 2, and the cloud server 2 acquires the current user's health difference data and recommends a nutritious breakfast, The user went to work in the company in the morning. Except for the normal calorie consumption of the body, he had no other exercise and only walked 1000 steps. The health change data recommends a healthy recipe for lunch. The user went swimming for an hour at 4 pm. The user basic information acquisition unit 1 obtains the exercise change data, and the cloud server 2 recommends dinner based on the health change data caused by the exercise change data. healthy recipes. In order to make the health change data more accurate, the user can also actively input information such as fruit snacks and beverages ingested between three meals a day, and the cloud server 2 will compensate and adjust according to this information. When new users use the system for the first time, they can access the system through a smartphone, bind their user identity, and enter some simple basic health data such as age, gender, height, and weight. The recipe pushing unit 3 may be a smart phone, a tablet computer, or a smart home appliance with a display screen, such as a range hood with a display screen that appears on the market today, and so on. In addition, the user's basic health data can also be obtained online from the cooperative medical examination institutions, as long as the user authorizes it.

为了减少用户的操作，家电产品可以在用户使用过程中自动获取用户的基础健康数据，因此可以设计用户基础信息获取单元1包括检测器，用户基础信息获取单元1通过检测器在用户使用用户基础信息获取单元1时获取用户的基础健康数据。当然，用户基础信息获取单元1完全也可以通过用户主动输入来获取用户的基础健康数据。In order to reduce the user's operation, the home appliance can automatically acquire the user's basic health data during the user's use. Therefore, the user's basic information acquisition unit 1 can be designed to include a detector, and the user's basic information acquisition unit 1 can use the user's basic information through the detector. When acquiring unit 1, basic health data of the user is acquired. Of course, the user's basic information obtaining unit 1 can also obtain the user's basic health data through the user's active input.

用户基础信息获取单元1包括智能手机、智能座便器、智能体脂称、智能手环中一种或多种。用户的基础健康数据包括年龄、性别、身体特质、饮食偏好、宗教信仰、特殊身体状况中的一种或多种，这些都是在较长时间内不会改变的数据。身体特质可以理解为身体的常见数据，例如身高、体重、体质偏寒/偏热、血量高/低等等，饮食偏好则包含口味轻重、酸甜咸辣、荤素偏好、蒸炒偏好等等，宗教信仰则针对特定宗教的饮食禁忌来剔除部分食材，例如佛教徒、穆斯林等等，特殊身体状况则是针对患有某些特定慢性疾病的用户进行来剔除部分食材，例如高血压、糖尿病患者等等。具体来说，为获取某些简单的一种或几种基础健康数据，可以通过一种产品即可实现，要获取用户更全面的基础健康数据，单独依靠一种产品是比较难，需要多个产品共同获取。一般的，智能手机可以由用户主动输入一些自身的基础健康数据，也可以检测用户每天的行走步数这些运动变化数据，智能座便器和智能体脂称可以实现用户体重、体脂率等基础健康数据的检测获取，有些智能座便器还可以进行体液检测，获取微量元素方面的基础健康数据，智能手环可以获取运动变化数据等等。除了这些产品，还可以是其他市场上常见的用来检测人体基础健康数据的产品，例如血量测量仪、血糖测量仪等等。用户运动信息获取单元4则可以是智能手机、智能手环等常见与运动相关的产品，可以获取用户一定时间段内的运动变化数据。The user basic information acquisition unit 1 includes one or more of a smart phone, a smart toilet, a smart body fat scale, and a smart bracelet. The user's basic health data includes one or more of age, gender, physical characteristics, dietary preferences, religious beliefs, and special physical conditions, which are data that will not change over a long period of time. Physical characteristics can be understood as common data of the body, such as height, weight, cold/hot physique, high/low blood volume, etc., and dietary preferences include taste, sweetness, salty and spicy, meat and vegetable preferences, steamed and fried preferences, etc. Etc., religious beliefs exclude some ingredients according to the dietary taboos of specific religions, such as Buddhists, Muslims, etc., and special physical conditions exclude some ingredients for users with certain chronic diseases, such as high blood pressure, diabetes patients, etc. Specifically, in order to obtain some simple one or several kinds of basic health data, it can be achieved through one product. To obtain more comprehensive basic health data of users, it is difficult to rely on one product alone, requiring multiple Products are jointly acquired. In general, the smartphone can actively input some basic health data by the user, and can also detect the movement change data such as the user's daily walking steps. Smart toilets and smart body fat scales can achieve basic health such as user weight and body fat rate. Data detection and acquisition, some smart toilets can also perform body fluid detection, obtain basic health data in terms of trace elements, smart bracelets can obtain movement change data, and so on. In addition to these products, other products commonly used in the market to detect basic human health data, such as blood volume measuring instruments, blood glucose measuring instruments, etc., can also be used. The user motion information acquisition unit 4 may be a common motion-related product such as a smart phone and a smart bracelet, and may acquire motion change data of the user within a certain period of time.

为了让用户清楚知道自己所获取的健康菜谱的具体情况，健康菜谱包含的信息可以包括菜肴的配料及用量、菜肴的总量、营养成分含量、总热量、烹饪方法中的一种或多种。健康菜谱包含的信息越多，用户自然知道的越多，相应还能获得更多与饮食相关的知识，一举两得。In order to let the user know the specific situation of the healthy recipe obtained by himself, the information contained in the healthy recipe may include one or more of the ingredients and amount of the dish, the total amount of the dish, the content of nutrient components, the total calories, and the cooking method. The more information a healthy recipe contains, the more the user will naturally know, and the more diet-related knowledge can be obtained accordingly, killing two birds with one stone.

为了让用户能够更加及时、精确地通过食物补充热量及营养成分，可以设置云服务器2接收用户的运动变化数据的时间间隔是从上一餐到下一餐之间。例如不同的人群的运动变化数据不同，小孩子整天的运动量都比较大，而老年人的运动量相对比较少，因此获取用户运动变化数据的这个时间间隔也可以根据不同用户的年龄及生活习惯关联起来，时间间隔的长短不需要保持一致，可以更加人性化和个性化。运动变化数据包括用户维持日常生活的日常热量消耗和用户锻炼的运动热量消耗，这样能够更加精准地通过食物补充消耗的热量。In order to allow the user to supplement calories and nutrients through food more timely and accurately, the time interval for the cloud server 2 to receive the user's movement change data may be set to be between the last meal and the next meal. For example, different groups of people have different exercise change data. Children exercise more throughout the day, while elderly people exercise less. Therefore, the time interval for obtaining user exercise change data can also be related to the age and living habits of different users. Up, the length of the time interval does not need to be consistent and can be more user-friendly and personalized. The exercise change data includes the daily calorie consumption of the user to maintain daily life and the exercise calorie consumption of the user's exercise, so that the consumed calories can be supplemented through food more accurately.

另外，对于一些想要减肥或增肌却又无从下手的用户，也可以利用本发明实现饮食安排，云服务器2根据用户的健康差异数据向用户推荐一个固定周期的饮食调节计划，并根据健康变化数据进行修正调整，可以帮助用户健康高效地改善身体状况。In addition, for some users who want to lose weight or gain muscle but have no idea where to start, the present invention can also be used to implement dietary arrangements. The cloud server 2 recommends a fixed-period dietary adjustment plan to the user according to the user's health difference data, and according to the health changes The data can be corrected and adjusted to help users improve their physical condition healthily and efficiently.

实施例二：Embodiment 2:

为了方便用户获取推荐菜谱后能够减少制作麻烦，避免推荐一些包含难以获取或昂贵食材的健康菜谱，通过获取库存食材信息来自动筛选推荐的健康菜谱，可以在实施例一的基础上增加内容，见图2，具体是信息获取单元还包括获取库存食材的食材信息获取单元5，云服务器2筛选出健康菜谱后根据食材信息获取单元5上传的库存食材信息优先推荐与库存食材相关的健康菜谱。这样用户首先看到的是与库存食材相关的健康菜谱，多数是常见菜肴。库存食材包括家庭冰箱的食材、周边商超菜场在售食材、合作生鲜电商在售食材中的一种或多种。现在市场上的智能冰箱，就是一种食材信息获取单元5，可以自动识别用户放入冰箱的食材，因此可以结合这一数据应用到健康菜谱智能推荐系统中，提高健康菜谱推荐的精准度，让用户的使用体验更好。现在生鲜O2O发展迅速，用户通过手机下单，周边商超菜场、合作生鲜电商都会送货上门，因此这些在售食材的信息也可以应用起来，方便用户生活。In order to facilitate users to obtain the recommended recipes, reduce the trouble of making, and avoid recommending some healthy recipes containing hard-to-obtain or expensive ingredients, the recommended healthy recipes can be automatically screened by obtaining the information of the stock ingredients. 2 , the information acquisition unit further includes an ingredient information acquisition unit 5 for acquiring stocked ingredients. After the cloud server 2 selects healthy recipes, it preferentially recommends healthy recipes related to the stocked ingredients according to the stocked ingredient information uploaded by the ingredient information acquisition unit 5 . In this way, the first thing users see are healthy recipes related to the ingredients in stock, most of which are common dishes. The inventory ingredients include one or more of the ingredients in the home refrigerator, the ingredients on sale in the surrounding supermarkets, and the ingredients sold by the cooperative fresh e-commerce. The smart refrigerator on the market is a kind of ingredient information acquisition unit 5, which can automatically identify the ingredients that the user puts into the refrigerator, so it can be combined with this data and applied to the intelligent recommendation system for healthy recipes to improve the accuracy of recommended healthy recipes. The user experience is better. Fresh food O2O is developing rapidly now. Users place orders through mobile phones, and the surrounding supermarkets, supermarkets, and cooperative fresh food e-commerce companies will deliver them to their doorsteps. Therefore, the information of these ingredients on sale can also be applied to facilitate users' lives.

实施例三：Embodiment three:

在上述实施例的基础上，为了减少用户的操作，见图3，在实施例二的基础上，健康菜谱智能推荐系统还包括自助烹饪单元6，自助烹饪单元6也是现有的智能调理器，例如智能压力煲、智能炒菜机等等产品，自助烹饪单元6从菜谱推送单元3获取用户选择的健康菜谱进行自动烹饪。用户可以通过APP控制自助烹饪单元6，选择一键烹饪，系统还可以根据这些烹饪时间和方式计算得到因为烹饪引起的热量变化数值。On the basis of the above-mentioned embodiment, in order to reduce the operation of the user, see FIG. 3 , on the basis of the second embodiment, the intelligent recommendation system for healthy recipes further includes a self-service cooking unit 6, which is also an existing intelligent conditioner, For products such as intelligent pressure cookers, intelligent cooking machines, etc., the self-service cooking unit 6 obtains the healthy recipes selected by the user from the recipe push unit 3 for automatic cooking. The user can control the self-service cooking unit 6 through the APP, select one-key cooking, and the system can also calculate the heat change value caused by cooking according to the cooking time and method.

另外，菜谱推送单元3也可以作为自助烹饪单元6的一个组成部分，例如智能压力煲的显示屏就是一个菜谱推送单元3，因此自助烹饪单元6也可以直接从云服务器获取健康菜谱然后供用户选择。In addition, the recipe push unit 3 can also be used as a component of the self-service cooking unit 6. For example, the display screen of the smart pressure cooker is a recipe push unit 3. Therefore, the self-service cooking unit 6 can also directly obtain healthy recipes from the cloud server for the user to choose. .

当然本实施例也可以在实施例一的基础上增加相应内容。Of course, this embodiment can also add corresponding content on the basis of the first embodiment.

本系统对不同用户的身份进行绑定识别，因此不同用户的基础健康数据不会交叉，当然也可以将整个家庭作为一个单位进行健康菜谱推荐，云服务器2获取所有家庭成员的基础健康数据和运动变化数据，然后进行整合推荐适合整个家庭制作并共同食用的健康菜谱。除上述优选实施例外，本发明还有其他的实施方式，本领域技术人员可以根据本发明作出各种改变和变形，只要不脱离本发明的精神，均应属于本发明权利要求书中所定义的范围。This system binds and recognizes the identities of different users, so the basic health data of different users will not overlap. Of course, the whole family can be used as a unit to recommend healthy recipes. Cloud server 2 obtains the basic health data and exercise of all family members. Change the data, then combine it to recommend healthy recipes that the whole family can make and eat together. In addition to the above-mentioned preferred embodiments, the present invention also has other embodiments, and those skilled in the art can make various changes and modifications according to the present invention, as long as they do not depart from the spirit of the present invention, they should all belong to the definitions defined in the claims of the present invention. scope.