CN117831764A

CN117831764A - Health analysis method, device, equipment and medium based on intelligent restaurant

Info

Publication number: CN117831764A
Application number: CN202311844776.7A
Authority: CN
Inventors: 李忠全; 周雯迪; 卢庆江; 张丁贞; 张爱美; 李忠哲
Original assignee: Shandong Nuclear Power Co Ltd
Current assignee: Shandong Nuclear Power Co Ltd
Priority date: 2023-12-29
Filing date: 2023-12-29
Publication date: 2024-04-05

Abstract

The invention discloses a health analysis method, device, equipment and medium based on an intelligent restaurant. The method comprises the following steps: determining the staff who takes dinner and the dinner taking dishes of the staff according to the dishes and payment staff contained by the intelligent tableware on the self-service settlement table; generating a nutrition and health analysis report of the target staff according to nutrition information of dining dishes and health information of the target staff within the set time of the target staff; pushing the nutritional health analysis report to the target employee. The embodiment of the invention can help staff dining in the intelligent restaurant.

Description

Health analysis method, device, equipment and medium based on intelligent restaurant

Technical Field

The invention relates to the technical field, in particular to a health analysis method, device, equipment and medium based on an intelligent restaurant.

Background

The nuclear power plant is mainly selected at a place with relatively low population density and far away from a large city, and a plurality of internal restaurants are required to be built in a matched mode to solve dining demands of thousands of construction and production staff, and basically have the characteristics of more dining staff and concentrated dining time. The problems of the conventional restaurant are mainly expressed in that: traditional manual cashing and settlement relies on cashiers to memorize the price of dishes, so that the efficiency is low, the error rate is high, the queuing time of staff in the dining peak period is long, and the dining experience of staff is poor; the dishes are not detailed, single-product management and control and sales data statistics cannot be carried out on the dishes, the difficulty of fine management of the dishes is high, and waste is easy to cause; in the traditional dining mode, staff cannot know the daily nutrition intake condition of the staff and cannot adjust the diet structure according to the condition of the staff to realize healthy diet. The intelligent restaurant is a unified intelligent management system for realizing intelligent restaurant, intelligent settlement, health management, food safety management and the like for restaurant operation based on the Internet, the Internet of things, big data and cloud computing technology, and through a small program of a mobile phone, the restaurant purchase process such as autonomous ordering, service commentary, foreground cashing, reservation ranking and the like is more efficient, normal and ordered, the intelligent restaurant operation management and staff restaurant health comprehensive management system is built quickly and efficiently, the labor quantity can be remarkably saved, the operation cost is reduced, and the restaurant operation management performance and service level are improved.

Along with the continuous development of intelligent application, the demands of intelligent restaurants are becoming more and more widespread. In view of the safety requirements of the nuclear power plant on the working environment, the possible pollution risk and health risk are more paid attention to, so that the construction of the intelligent restaurant by the staff of the nuclear power plant is more needed, the safety, health, rapidness and high efficiency of dining of the staff of the nuclear power plant are expected to be realized through the intelligent restaurant, and the safe and stable operation of the nuclear power plant is assisted.

However, the current intelligent restaurant focuses on the intellectualization of ordering and taking meals, and lacks targeted statistics and analysis for the health and dining conditions of staff. The intelligent restaurant can only help users to conveniently order, take and eat, but cannot help staff to eat healthily.

Disclosure of Invention

The invention provides a health analysis method, a device, equipment and a medium based on an intelligent restaurant, which are used for helping staff to eat in the intelligent restaurant to eat healthily.

According to an aspect of the present invention, there is provided a health analysis method based on an intelligent restaurant, including:

determining the staff who takes dinner and the dinner taking dishes of the staff according to the dishes and payment staff contained by the intelligent tableware on the self-service settlement table;

generating a nutrition and health analysis report of the target staff according to nutrition information of dining dishes and health information of the target staff within the set time of the target staff;

Pushing the nutritional health analysis report to the target employee.

According to another aspect of the present invention, there is provided a health analysis apparatus based on an intelligent restaurant, comprising:

the information collection module is used for determining the staff who takes meals and the dining dishes of the staff according to the dishes and payment staff contained in the intelligent tableware on the self-service settlement table;

the information analysis module is used for generating a nutrition and health analysis report of the target staff according to nutrition information of the dining dishes and health information of the target staff within the set time of the target staff;

and the report pushing module is used for pushing the nutrition and health analysis report to the target staff.

According to another aspect of the present invention, there is provided an electronic apparatus including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the intelligent restaurant-based health analysis method of any one of the embodiments of the present invention.

According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the intelligent restaurant-based health analysis method according to any one of the embodiments of the present invention when executed.

According to the embodiment of the invention, the dining dishes of the staff are recorded and counted, and the nutrition information of the dishes and the health condition of the staff are combined to generate and push the nutrition and health analysis report, so that the staff can know the nutrition data of the diet of the staff through the mobile phone small degree or the APP, and a good health diet habit is formed.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of a smart restaurant according to the present invention;

FIG. 2 is a flowchart of a health analysis method based on intelligent restaurant according to an embodiment of the present invention;

FIG. 3 is a flow chart of a method for intelligent restaurant-based health analysis according to yet another embodiment of the present invention;

FIG. 4 is a schematic diagram of a health analysis method based on intelligent restaurant according to another embodiment of the present invention;

fig. 5 is a schematic structural diagram of an electronic device implementing an embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

For easy understanding of the following embodiments, a brief description of a smart restaurant to which the present invention is applicable will be first provided.

The main construction content of the intelligent restaurant comprises:

1. a restaurant operation digital management platform: the intelligent restaurant system and the mobile terminal system of the management platform are integrated with the existing restaurant settlement system and the mobile phone applet, and functions of newly added meal card management, meal card settlement and the like are not needed.

2. Intelligent meal preparation and quick settlement functions: the method has the advantages that the dish fine management and quality monitoring are realized, the data acquisition of the information of the dishes ingested by staff and the binding of the personal identity are realized, and effective data sources are provided for dish statistics, safety tracing, taste analysis and nutrition analysis; the automatic settlement system has the advantages of realizing high-efficiency, accurate and self-help unmanned self-help settlement, shortening waiting time, avoiding errors, avoiding service conflicts, improving the overall operation efficiency of restaurants and improving consumption experience and employee satisfaction.

3. Mobile end card management system: staff can check basic information of staff cards, account balance and transaction detail query through mobile phones, self-service recharging, loss reporting and hanging releasing are achieved, dynamic two-dimension codes of meal cards are generated for payment, dietary nutrition analysis reports and the like are queried, and daily management and application of the staff cards are facilitated.

4. An intelligent health management system: the staff is guided to reasonably select the meal through the nutrition price tag, the electronic menu and the like, and the staff can know the diet nutrition data of the staff through small programs, so that good healthy diet habit is formed.

5. Digital restaurant security supervision: the whole operation data of the restaurant can be monitored, including passenger flow data of each restaurant, dining data of each window, dynamic operation data of the restaurant and the like, so that various kinds, window arrangement, employee peak-shifting dining policies and the like are continuously optimized, and the whole safety and the operation efficiency of the restaurant and the satisfaction of dining staff are improved. Staff abnormal behavior reminding processing: if abnormal body temperature of the staff occurs, the staff leaves the post abnormally and smokes; passenger flow statistics and trend analysis.

TABLE 1

As shown in figure 1 and in table 1,

the main content of restaurant foundation management is as follows:

(1) The central centralized control type management of a plurality of restaurants under the platform is realized;

(2) Realizing the on-line setting and management of all terminal devices under the platform;

(3) Providing restaurant cashing management, and carrying out centralized management and control on payment modes of cashing terminals such as handheld equipment, cash register and the like;

(4) The restaurant business period setting is realized, and the time periods of early, middle, late and night are mainly set, so that convenience is provided for statistics;

(5) The management and dish setting functions of a plurality of electronic menu boards in a restaurant are supported;

(6) The unified setting of restaurant payment modes is realized, and the system supports customization according to personalized requirements of restaurant management;

(7) The management of ordering dishes of selling dishes in a restaurant is realized, and the management of different dinner plates and dishes of different terminal devices according to the daily, weekly or appointed date range is supported.

The main content of dish management is as follows:

(1) Providing dish classification management;

(2) Providing a dish food classification setting, mainly providing inquiry for food components;

(3) Providing food ingredient list management, and mainly setting dish nutrition ingredient data;

(4) The automatic calculation of the nutrient components of the dishes sold in the restaurant is realized, and a nutrient data basis is provided for self-service terminal equipment.

The main contents of decision analysis report management are as follows:

(1) Providing restaurant business running water inquiry, and displaying information such as restaurant, terminal, table, card, personnel information, deduction amount, transaction time and the like;

(2) Providing restaurant business detail inquiry, and displaying information such as restaurant, terminal, table, card, personnel information, deduction amount, transaction time, dishes, quantity amount and the like;

(3) Providing detailed inquiry of payment modes, and displaying restaurant, terminal, table, card, personnel information, payment modes, payment amount and the like;

(4) Providing commodity sales meal distribution summarization and commodity sales summary tables, and supporting statistics and trend analysis according to the types of the dishes from the perspective of commodities;

(5) Providing a restaurant business summary table, and carrying out consumption and recharging summary statistics and trend analysis according to restaurants;

(6) And providing a payment mode summary table, and counting consumption conditions and trend analysis of different meals of the payment mode according to restaurants, terminals and specified time ranges.

Based on the digital management platform and the intelligent system built on the digital management platform, the intelligent restaurant can realize intelligent functions such as intelligent health, intelligent food safety, intelligent statistics, intelligent energy conservation and the like. The following embodiments mainly describe the intelligent function of intelligent health.

Fig. 2 is a flowchart of a health analysis method based on an intelligent restaurant according to an embodiment of the present invention, which is applicable to the situation of counting and analyzing dining dishes of a nuclear power plant employee dining at the restaurant based on the intelligent restaurant shown in fig. 1, and the method may be performed by a health analysis device based on the intelligent restaurant, which may be implemented in the form of hardware and/or software, and the device may be configured in an electronic device with corresponding data processing capability. As shown in fig. 2, the method includes:

S210, determining the staff who takes the meal and the dining dishes of the staff according to the dishes and payment staff contained in the intelligent tableware on the self-service settlement table.

The RFID radio frequency chip is implanted in the bottom of the intelligent tableware, the self-service settlement table is integrated with radio frequency read-write equipment, display equipment and payment deduction equipment, the intelligent tableware can be rapidly identified and displayed, a diner is guided to finish payment by voice broadcasting, the whole process is less than or equal to 1 second, self-service unmanned, zero error, no queuing and second cashing are realized.

Specifically, after the staff takes out the intelligent tableware containing dishes at the meal taking window of the intelligent restaurant, the intelligent tableware is placed on the self-service settlement table. The self-service settlement table calculates and displays the whole bill amount of the dining according to the intelligent tableware placed by the staff. After the staff finishes payment of the whole amount of money through various modes such as card swiping and code scanning, the staff who has dinner this time and the dinner dishes of the staff are recorded.

S220, generating a nutrition and health analysis report of the target staff according to nutrition information of the dining dishes and health information of the target staff within the set time of the target staff.

And S230, pushing the nutrition and health analysis report to the target staff.

The set time can be one day, one week, one month and one year, and the corresponding nutritional health analysis report is in the form of daily report, weekly report, monthly report and annual report. The health information comprises relevant health information such as exercise consumption, BMI index, employee individual age, blood sugar, blood fat, blood pressure, height, weight, allergen and the like which are recorded by the employee.

Specifically, staff with health management needs, such as staff with high blood pressure, high BMI, staff with related symptoms such as diabetes, etc., often need staff to open a third party health management APP by themselves before and after dining, manually fill in and record the dish content and nutrition information of each meal on the APP, which is very troublesome in operation and difficult to adhere to.

Therefore, when staff checks out each time of dining, the intelligent restaurant system records the dining dishes of the user and the nutrition information thereof and stores the dining dishes and the nutrition information into a background database. For target staff needing nutrition and health analysis report, all dining dishes and nutrition information of the target user in a set time are directly obtained in a database, various intakes of the user in the set time are analyzed according to the dining dishes and the nutrition information, health information of the user is synthesized, analysis and improvement suggestions of whether staff health management meets standards are given out, and the analysis and improvement suggestions are used as nutrition and health analysis reports of the target staff.

After the nutritional health analysis report of the target employee is generated, the nutritional health analysis report of the target employee is pushed to the target user, and the target user can view the nutritional health analysis report through an applet or an APP on the mobile phone side. Providing a next nutrient intake suggestion and an exercise suggestion by reminding the nutrient intake of the staff, scoring the intake situation and pushing the health month report; staff can know the diet nutrition data of themselves through the small program of the mobile phone, and good healthy diet habit is developed.

In addition, the applet or APP on the mobile phone end is used for displaying the nutrition and health analysis report, and can also support functions of staff meal ordering, evaluation, order inquiry, recharging, card management, data maintenance and modification and the like, and the functions are as follows:

restaurant selection: the current position is automatically positioned, and the restaurant, the ordering date and the ordering grade are supported to be selected;

selecting and purchasing dishes: acquiring dish arrangement data according to the dining number of the selected restaurant, ordering dishes and adding the dishes into a shopping cart, and supporting the functions of adding and subtracting the quantity and emptying the shopping cart;

and (5) bill payment: the takeout order can be reserved for meal at any time, but the meal delivery (taking) time is automatically limited (after the seller is arranged in the background, the meal delivery of the buyer can only be selected in certain time period), the order details and the total are displayed, remark information such as taste preference can be input, and the bound membership card is used for payment after confirmation;

Order inquiry: screening an order list according to the order state, checking order details, and carrying out subsequent order payment, change and evaluation;

order evaluation: the completed order supports the evaluation of restaurants and dishes;

personal information: providing head portraits, identity information and BMI value display, supporting modification of gender, age, height and weight, and providing setting of allergen and overage reminding;

card management: the multi-card display is supported, the cards can be switched, and the functions of card recharging, loss reporting and hanging releasing are provided;

and (5) recharging and consuming: the fixed denomination and the custom denomination are supported to carry out WeChat recharging, and a transaction record inquiry entrance is provided;

nutrition inquiry: checking the current day or history of meal records, nutrient intake conditions, BMI changes and weight changes;

transaction records: and providing recharging and consumption records of each account, and screening according to account types and expense types.

Optionally, the generating the nutritional health analysis report of the target employee according to the nutritional information of the dining dishes and the health information of the target employee within the set time of the target employee includes:

determining the intake energy of the target user according to the nutrition information of the dining dishes within the set time of the target staff;

determining the consumption energy, BMI index and age of the target user according to the health information of the target staff;

generating a nutritional health analysis report for the target employee based on the ingested energy, the consumed energy, the BMI indicator, and the age.

Specifically, when the nutritional health analysis report is in daily report form, after three meals are collected (staff can manually supplement other meals at the same time), whether the nutritional intake is normal or not is analyzed, whether daily intake energy and consumption energy (static consumption and exercise consumption which the staff can input by himself) reach balance or not can be calculated, and the intake situation is scored and suggested according to BMI indexes and the individual ages of the staff to obtain and push the nutritional health analysis report.

Determining the total intake amount and the change trend of each nutritional ingredient of the target user according to the nutritional information of the dining dishes within the set time of the target staff;

and generating a nutrition and health analysis report of the target staff according to the total intake amount, the change trend and the health information of the target staff.

Specifically, when the nutritional health analysis report is in the form of a month report, the month report scores the upper month diet, displays the total intake amount and the change trend of calories, fat, protein and carbohydrate, and provides the next nutritional intake advice and exercise advice. In addition, the system automatically pushes the personal inventory of the last month/year to the user at the beginning of each month/year, and staff can directly check the information such as the total amount of personal consumption, the most frequently visited restaurant, the most frequently purchased dishes, the total intake calories, the intake nutrition and the like through inventory.

Optionally, the method further comprises:

identifying and reminding abnormal behaviors of staff in each kitchen operating room through real-time images of the kitchen operating rooms;

predicting food materials to be prepared and the preparation quantity of the food materials to be prepared according to the operation statistical data of the restaurant;

and pushing the electricity consumption information and the temperature information of kitchen equipment in the kitchen operation room and the environment abnormality warning information of the restaurant to a manager according to the sensor data in the kitchen operation room and the restaurant.

Specifically, other intelligent functions that can be realized for intelligent restaurants other than intelligent health are as follows:

wisdom is eaten and is installed: through the access of the monitoring signal, the manager can check the conditions of each operation room of the kitchen in real time through the mobile phone and the PC terminal at any time. If abnormal behaviors such as abnormal body temperature, abnormal off-duty, smoking, no paper cap/mouth screen wearing and the like occur, the system automatically recognizes and captures and prompts an alarm by comparing the real-time image with an abnormal behavior database, performs tracking processing, and implements closed-loop management to improve the overall safety of the restaurant. The camera food safety supervision in the whole process can realize accurate and instant error correction and deviation correction, so that the overall safety and the operation efficiency of the restaurant are improved, and the operation cost is saved.

And (3) intelligent statistics: according to the passenger flow data of each restaurant, the dining data of each window, the dynamic operation data of each restaurant and the like, various kinds of products, window arrangement, employee peak-shifting dining policies and the like are optimized continuously, and the overall operation efficiency of the restaurant and the satisfaction of dining staff are improved. By means of the statistical data, the favorite dishes of the staff can be judged, and the food materials and the quantity of the food materials which should be prepared next meal can be obtained in a trend mode. According to statistics of the number of people eating and the sales of dishes, trend analysis of the number of people eating and favorite dishes in the follow-up is obtained, support is provided for the follow-up meal preparation, low-efficiency investment is reduced, and operation benefit is improved.

Intelligent energy saving: by means of related sensors and other devices, cooking data (accumulated electricity consumption, accumulated energy consumption, accumulated carbon emission reduction and accumulated cost saving) are checked online, electricity consumption conditions and temperature conditions of various kitchen equipment are checked, restaurant environment data (temperature, humidity, smoke concentration and the like) are checked, and if abnormal conditions exist, environment abnormality warning information is pushed to management staff.

Fig. 3 is a flowchart of a health analysis method based on an intelligent restaurant according to another embodiment of the present invention, where the embodiment is optimized and improved based on the above embodiment. As shown in fig. 3, the method includes:

s310, determining dishes contained in the intelligent tableware and dish information of the dishes through radio frequency reading and writing equipment of a self-service settlement table and an RFID radio frequency chip of the intelligent tableware.

S320, determining the whole bill amount of the meal according to the dishes, and displaying the whole bill amount and the dish information on display equipment of the self-service settlement table.

S330, after the whole amount is paid, determining the payment staff of the whole amount as the staff having the meal, and determining the dishes as the dining dishes of the staff.

Wherein, the dish information comprises the name, price, quantity and nutrition information of the dishes; the nutritional information includes a nutritional ingredient and a nutritional label.

Specifically, after the intelligent tableware is placed in a settlement area of the self-service settlement table, the self-service settlement table automatically recognizes and calculates the whole bill amount, and displays the whole bill amount and information such as the quantity, the name, the price and the nutrition information of dishes to a user, so that the staff is reminded of nutrition intake. After the whole bill amount is calculated, staff can swipe a dining card in a card reading area of a settlement table to finish payment, and manual intervention is not needed in settlement; because of the built-in mobile payment equipment, the self-service settlement table also supports staff to pay through mobile payment modes such as payment treasures, weChat and the like; the settlement table also supports payment by face brushing due to the face equipment. For intelligent tableware which is taken away after entering a settlement area and is not paid, the settlement table prompts a voice alarm. In addition, the self-service settlement table also supports:

unified settlement: the dishes of a plurality of restaurants are supported to be uniformly settled on the same settlement table;

foreign personnel take dinner and hang account: internal reception and dining of external guests can be carried out on account;

batch definition and rewriting of tableware prices: the prices represented by different types of tableware can be defined and rewritten in batch in a settlement table at one time;

multi-price setting of breakfast, midday and supper: for the same tableware, different time period prices can be set according to different dishes in breakfast, chinese and late;

Transaction record query: the consumption record of the dining card can be inquired;

and (5) meal condition statistics: information such as turnover, dining times and the like can be inquired and counted;

inquiring the balance of the dining card: the balance in the dining card can be inquired;

and (3) a clicking function: for drinks such as beverages, marmite and the like which are not contained by intelligent tableware, the intelligent tableware can be added in a manual clicking mode or in a code scanning mode through a scanner.

Optionally, dishes contained in the intelligent tableware and dish information of the dishes are written into an RFID radio frequency chip of the intelligent tableware by the intelligent dinner preparing table during dinner preparing;

correspondingly, before determining the staff who takes dinner this time and the dinner dishes of the staff according to the dishes and payment staff contained by the intelligent tableware on the self-service settlement table, the method further comprises:

and displaying the dish information of the dishes through the meal taking window of the intelligent meal preparation table.

Specifically, the meal delivery management of the intelligent restaurant is mainly completed by a product delivery control console and an intelligent meal preparation console.

The management content of the product control console is specifically as follows:

1) Setting relevant parameters of a product terminal;

2) Managing the corresponding product output terminal and nutrient price tag dish data display of the heat preservation platform;

3) The data of a common dish-arranging template is managed, and dish-arranging according to the dining is supported;

4) The most recent 3 days of scheduling data is managed, supporting scheduling by date and meal.

The management of the intelligent dining table is specifically as follows:

1) Dish information writing operation can be performed on the intelligent tableware;

2) When dishes are produced, the audible and visual reminding is provided;

3) And the product terminals are in one-to-one correspondence with the product terminals, and the corresponding product terminal dish price, product name and nutrient component information are displayed.

4) Has the function of displaying the information of the dish nutrition label.

The intelligent dining table consists of a heat preservation table, a product outlet terminal, a nutrition price tag and related electronic components. Expert village staff dining room uses finished product intelligence to prepare dining table, and other dining rooms then carry out information write-in operation to intelligent tableware through the mode at current insulation board embedding income terminal, realize intelligent income. When an employee selects a meal, the name, price, quantity, nutritional ingredients and nutritional labels of the dishes held by the corresponding heat preservation eyes can be known through the dish information displayed by the meal taking window, and the employee is guided to select the meal healthily.

Optionally, the method further comprises:

accounting the nutritional ingredients of the new dishes according to the formula composition of the new dishes; the nutritional ingredients comprise the content of various nutrients;

and determining the nutrition label of the new dish from a plurality of preset nutrition labels according to the nutrition components of the new dish.

Specifically, the food material raw material warehouse and the dish formula warehouse are managed by the management back end.

Food material raw material warehouse: the food material is the material needed for making food, and the system is internally provided with a food material library which covers daily needed element food materials, meat food materials, various seasonings and the like in a restaurant.

Dish formula library: the dish formula library is a food material bill for forming dishes, and the system is internally provided with Guangdong vegetables, roux vegetables, sichuan dishes and the like to cover various big dishes.

When a new dish is added, the intelligent restaurant automatically calculates the nutritional ingredients of the accounting dish, including main dietary nutrients, vitamins and mineral content, through the formula composition of the new dish input by restaurant staff. Determining the nutrition label of the new dish from a plurality of preset nutrition labels according to the nutrition components of the new dish, and displaying the determined nutrition label to restaurant staff.

Illustratively, the nutritional labels are largely divided into three, one or more of which may be provided for each dish.

Green and natural: purely natural, non-transgenic, vegetable and fruit products and natural taste.

How much beneficial it is: is rich in dietary fiber, protein, whole grain, calcium, vitamins, minerals, trace elements and unsaturated fatty acid.

Health control: low/no cholesterol, low salt/low sodium, low sugar/no sugar, low/no fat, no syrup, low/no carbohydrate, no caffeine, no collagen.

S240, generating a nutrition and health analysis report of the target staff according to nutrition information of dining dishes and health information of the target staff within the set time of the target staff;

s250, pushing the nutrition and health analysis report to the target staff.

According to the embodiment of the invention, the dining efficiency is improved through the intelligent tableware and the self-service dining table.

Fig. 4 is a schematic structural diagram of a health analysis device based on an intelligent restaurant according to another embodiment of the present invention. As shown in fig. 4, the apparatus includes:

the information collection module 410 is configured to determine an employee who has a meal and a meal menu of the employee according to the menu and payment employee contained in the intelligent tableware on the self-service settlement table;

the information analysis module 420 is configured to generate a nutritional health analysis report of a target employee according to nutritional information of a dining dish and health information of the target employee within a set time of the target employee;

a report pushing module 430 is configured to push the nutritional health analysis report to the target employee.

The health analysis device based on the intelligent restaurant provided by the embodiment of the invention can execute the health analysis method based on the intelligent restaurant provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

Optionally, the information collecting module 410 is configured to include:

the dish determining unit is used for determining dishes contained in the intelligent tableware and dish information of the dishes through radio frequency reading and writing equipment of the self-service settlement table and an RFID radio frequency chip of the intelligent tableware; the dish information comprises the name, price, quantity and nutrition information of the dish; the nutritional information includes a nutritional ingredient and a nutritional label;

the information display unit is used for determining the whole bill amount of the meal according to the dishes and displaying the whole bill amount and the dishes information on the display equipment of the self-service settlement table;

and the information collection unit is used for determining the payment staff of the whole bill amount as the staff having the meal at this time after determining that the whole bill amount is paid, and determining the dishes as the dining dishes of the staff.

Correspondingly, the device comprises:

and the information display module is used for displaying the dish information of the dishes through the meal taking window of the intelligent meal preparation table.

Optionally, the apparatus includes:

the component accounting module is used for accounting the nutritional components of the new dishes according to the formula composition of the new dishes; the nutritional ingredients comprise the content of various nutrients;

the tag determining module is used for determining the nutrition tag of the new dish from a plurality of preset nutrition tags according to the nutrition composition of the new dish.

Optionally, the information analysis module 420 is specifically configured to:

Optionally, the apparatus further includes:

the intelligent food safety module is used for identifying and reminding abnormal behaviors of staff in each kitchen operating room through real-time images of the kitchen operating rooms;

the intelligent statistics module is used for predicting food materials to be prepared and the preparation quantity of the food materials to be prepared according to the operation statistics data of the restaurant;

and the intelligent energy-saving module is used for pushing the electricity consumption information and the temperature information of the kitchen equipment in the kitchen operation room and the environment abnormality warning information of the restaurant to a manager according to the sensor data in the kitchen operation room and the restaurant.

The further explanation of the intelligent restaurant-based health analysis device can also execute the intelligent restaurant-based health analysis method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

Fig. 5 shows a schematic diagram of an electronic device 50 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 5, the electronic device 50 includes at least one processor 51, and a memory, such as a Read Only Memory (ROM) 52, a Random Access Memory (RAM) 53, etc., communicatively connected to the at least one processor 51, in which the memory stores a computer program executable by the at least one processor, and the processor 51 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 52 or the computer program loaded from the storage unit 58 into the Random Access Memory (RAM) 53. In the RAM53, various programs and data required for the operation of the electronic device 50 can also be stored. The processor 51, the ROM52 and the RAM53 are connected to each other via a bus 54. An input/output (I/O) interface 55 is also connected to bus 54.

Various components in the electronic device 50 are connected to the I/O interface 55, including: an input unit 56 such as a keyboard, a mouse, etc.; an output unit 57 such as various types of displays, speakers, and the like; a storage unit 58 such as a magnetic disk, an optical disk, or the like; and a communication unit 59 such as a network card, modem, wireless communication transceiver, etc. The communication unit 59 allows the electronic device 50 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunications networks.

The processor 51 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 51 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 51 performs the various methods and processes described above, such as the intelligent restaurant-based health analysis method.

In some embodiments, the intelligent restaurant-based health analysis method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as the storage unit 58. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 50 via the ROM52 and/or the communication unit 59. When the computer program is loaded into RAM53 and executed by processor 51, one or more of the steps of the intelligent restaurant-based health analysis method described above may be performed. Alternatively, in other embodiments, the processor 51 may be configured to perform the intelligent restaurant-based health analysis method in any other suitable manner (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.

The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims

1. A method for intelligent restaurant-based health analysis, the method comprising:

Pushing the nutritional health analysis report to the target employee.

2. The method of claim 1, wherein the determining the staff having the meal and the meal dishes of the staff based on the dishes and payment staff contained in the smart tableware on the self-service checkout stand comprises:

determining dishes contained in intelligent tableware and dish information of the dishes through radio frequency reading and writing equipment of a self-service settlement table and an RFID radio frequency chip of the intelligent tableware; the dish information comprises the name, price, quantity and nutrition information of the dish; the nutritional information includes a nutritional ingredient and a nutritional label;

determining the whole bill amount of the meal according to the dishes, and displaying the whole bill amount and the dishes information on display equipment of the self-service settlement table;

after the whole bill amount is paid, determining the payment staff of the whole bill amount as the staff of the meal, and determining the dishes as the dishes of the staff.

3. The method of claim 2, wherein dishes contained in the intelligent tableware and dish information of the dishes are written into the RFID radio frequency chip of the intelligent tableware by an intelligent meal preparation table during meal preparation;

4. The method according to claim 2, wherein the method further comprises:

5. The method of claim 1, wherein generating the nutritional health analysis report for the target employee based on the nutritional information for the meal and the health information for the target employee's set time comprises:

6. The method of claim 1, wherein generating the nutritional health analysis report for the target employee based on the nutritional information for the meal and the health information for the target employee's set time comprises:

7. The method according to claim 1, wherein the method further comprises:

8. A smart restaurant-based health analysis device, the device comprising:

9. An electronic device, the electronic device comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the intelligent restaurant-based health analysis method of any one of claims 1-7.

10. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to implement the intelligent restaurant-based health analysis method of any one of claims 1-7 when executed.