CN110675284A

CN110675284A - Production method, device and system for unmanned restaurant and server

Info

Publication number: CN110675284A
Application number: CN201810717973.5A
Authority: CN
Inventors: 不公告发明人
Original assignee: Individual
Current assignee: Individual
Priority date: 2018-07-03
Filing date: 2018-07-03
Publication date: 2020-01-10

Abstract

The embodiment of the invention discloses a production method, a device, a system, a server and a computer readable storage medium of an unmanned restaurant, wherein the method comprises the following steps: receiving a food ordering order sent by a user terminal; sending a payment request to a user terminal according to the order form; after a user finishes payment operation through a user terminal, receiving payment amount information sent by the user terminal; according to a preset division ratio, the payment amount is divided into an enterprise account and an enterprise co-construction person fund account; receiving budget cost information and investment proportion information of a user for setting up restaurant branches; generating an investment scheme of the restaurant branch according to the budget cost information and the investment proportion information; and controlling the dish generation system to produce corresponding dishes according to the order of ordering. By the embodiment of the invention, the production efficiency, convenience and user stickiness of the unmanned restaurant can be improved.

Description

Production method, device and system for unmanned restaurant and server

Technical Field

The invention belongs to the technical field of information, and particularly relates to a production method, a production device, a production system, a production server and a computer-readable storage medium for an unmanned restaurant.

Background

With the development and progress of information technology, the informatization process of each industry is also continuously accelerated.

At present, the informatization degree of the catering industry is higher and higher, and the informatization degree is embodied in a plurality of aspects of ordering, settlement, food processing and the like of a restaurant. Among them, restaurants are gradually moving toward unmanned and mechanized restaurants, for example, food processing or dish frying gradually moving toward robot frying. At the same time, the rapid development of restaurants presents a significant challenge to restaurant management.

In the prior art, the production management mode of the unmanned restaurant enables the management efficiency and convenience of the restaurant to be low, and the use viscosity of a user is low.

Disclosure of Invention

In view of this, embodiments of the present invention provide a method, an apparatus, a system, a server, and a computer-readable storage medium for producing an unmanned restaurant, so as to solve the problems in the prior art that the production management efficiency and convenience of the unmanned restaurant are low, and the use viscosity of a user is low.

In order to solve the above technical problems, embodiments of the present invention provide the following technical solutions:

in a first aspect, an embodiment of the present invention provides an unmanned restaurant production method, including:

receiving a food ordering order sent by a user terminal;

sending a payment request to the user terminal according to the ordering order;

after a user finishes payment operation through the user terminal, receiving payment amount information sent by the user terminal;

according to a preset division ratio, the payment amount is divided into an enterprise account and an enterprise co-construction person fund account;

receiving budget cost information and investment proportion information of a user for setting up restaurant branch stores, wherein the investment proportion information comprises enterprise account funding proportion information and enterprise co-construction fund account funding proportion information;

generating an investment scheme of the restaurant branch according to the budget cost information and the investment proportion information; the investment scheme comprises the information of the fund amount of the enterprise account, the information of the fund amount of the fund account of the enterprise co-constructor and the information of a sponsor;

and sending a production instruction to a dish production system of the unmanned restaurant according to the order, so that the dish production system produces corresponding dishes according to the production instruction.

Optionally, after the generating an investment plan of the restaurant branch according to the budget cost information and the investment proportion information, the method further includes:

receiving transaction information of the restaurant branch after the restaurant branch is opened according to the investment plan;

sending the transaction information to a third-party public display platform so that the third-party public display platform can disclose the transaction information;

calculating the return income of the restaurant branches every other preset period;

calculating the information of the divided amount of the payers and the enterprises in the enterprise co-construction persons according to a preset dividing proportion and the return income;

and returning the divided money to the account number of the payor in a preset form according to the payor information.

Optionally, after receiving the order sent by the user terminal, the method further includes:

counting the order times of the user account of the user;

judging whether the order times are greater than or equal to a preset time threshold value or not;

when the order times are greater than or equal to the preset time threshold value, sending preset reward information to the user account;

and when the order times are smaller than the preset time threshold value, sending prompt information comprising the difference value between the current order times of the user and the preset time threshold value to the user account.

Optionally, after receiving the payment amount information sent by the user terminal, the method further includes:

sending a satisfaction survey questionnaire to the user terminal;

and after the user fills in the satisfaction survey questionnaire through the user terminal, receiving and storing the satisfaction survey answer sheet sent by the user terminal.

Optionally, before receiving the order sent by the user terminal, the method further includes:

acquiring biological data of the user, wherein the biological data comprises gene detection data and/or physical examination data, and the physical examination data comprises data of preset physical examination items;

matching target food materials according to the biological data, a pre-established food standard component database and user information;

and generating a recommended recipe according to the target food material and a pre-established dish formula list.

Optionally, the matching of the target food material according to the biological data, the pre-established food standard component database and the user information includes:

determining target food components according to the gene detection data and/or the physical examination data;

calculating the ingestible amount of each target food component according to the user information;

matching the target food material according to the target food component, the ingestible portion and the food standard component database through a logistic regression algorithm.

Optionally, after generating a recommended recipe according to the target food material and a pre-established recipe list, the method further includes:

obtaining a historical ordering record of the user;

analyzing the historical ordering record to obtain the taste preference of the user;

and selecting dishes according with the taste preference from the recommended recipes to generate the recommended recipes according with the user preference.

Optionally, before the acquiring the biometric data of the user, the method further includes:

receiving the biometric data and the user information of the user;

performing association binding on the biological data and the user information, and storing the biological data and the user information;

establishing a food standard component database;

receiving dish formula information of each preset target area;

and establishing the dish formula list according to the dish formula information.

Optionally, the acquiring biometric data of the user includes:

receiving login information sent by the user terminal;

judging whether biological data associated with the login information is found or not according to the login information;

and when the associated biological data is found, acquiring the biological data.

Optionally, after the determining whether the biometric data associated with the login information is found according to the login information, the method further includes:

and recommending a preset type recipe to the user when the associated biological data is not found, wherein the preset type recipe comprises at least one of a nutrition recipe, a weight-losing recipe and a physique-enhancing recipe.

In a second aspect, an embodiment of the present invention provides an unmanned restaurant production method, including:

the method comprises the steps that a user terminal generates an ordering order according to an ordering instruction of a user and sends the ordering order to a server;

the server receives the ordering order; sending a payment request to the user terminal according to the ordering order; after a user finishes payment operation through the user terminal, receiving payment amount information sent by the user terminal; according to a preset division ratio, the payment amount is divided into an enterprise account and an enterprise co-construction person fund account; receiving budget cost information and investment proportion information of a user for setting up restaurant branch stores, wherein the investment proportion information comprises enterprise account funding proportion information and enterprise co-construction fund account funding proportion information; generating an investment scheme of the restaurant branch according to the budget cost information and the investment proportion information; the investment scheme comprises the information of the fund amount of the enterprise account, the information of the fund amount of the fund account of the enterprise co-constructor and the information of a sponsor; sending a production instruction to a dish production system of the unmanned restaurant according to the order;

and the dish production system produces corresponding dishes according to the production instruction.

In a third aspect, an embodiment of the present invention provides an unmanned restaurant production apparatus, integrated at a server, where the apparatus includes:

the first receiving module is used for receiving the ordering order sent by the user terminal;

the payment request sending module is used for sending a payment request to the user terminal according to the ordering order;

the second receiving module is used for receiving payment amount information sent by the user terminal after the user finishes payment operation through the user terminal;

the division module is used for dividing the payment amount into an enterprise account and an enterprise co-construction fund account according to a preset division ratio;

the third receiving module is used for receiving budget cost information and investment proportion information of a user for setting up restaurant branch stores, wherein the investment proportion information comprises enterprise account funding proportion information and enterprise co-constructor fund account funding proportion information;

the investment scheme generation module is used for generating an investment scheme of the restaurant branch according to the budget cost information and the investment proportion information; the investment scheme comprises the information of the fund amount of the enterprise account, the information of the fund amount of the fund account of the enterprise co-constructor and the information of a sponsor;

and the production module is used for sending a production instruction to a dish production system of the unmanned restaurant according to the ordering order so that the dish production system produces corresponding dishes according to the production instruction.

In a fourth aspect, an embodiment of the present invention provides an unmanned restaurant production system, including at least one user terminal, a server in communication connection with the user terminal, and a dish production subsystem in communication connection with the server;

the user terminal is used for generating a food ordering order according to a food ordering instruction of a user and sending the food ordering order to the server;

the server is used for receiving the ordering order; sending a payment request to the user terminal according to the ordering order; after a user finishes payment operation through the user terminal, receiving payment amount information sent by the user terminal; according to a preset division ratio, the payment amount is divided into an enterprise account and an enterprise co-construction person fund account; receiving budget cost information and investment proportion information of a user for setting up restaurant branch stores, wherein the investment proportion information comprises enterprise account funding proportion information and enterprise co-construction fund account funding proportion information; generating an investment scheme of the restaurant branch according to the budget cost information and the investment proportion information; the investment scheme comprises the information of the fund amount of the enterprise account, the information of the fund amount of the fund account of the enterprise co-constructor and the information of a sponsor; sending a production instruction to a dish production subsystem of the unmanned restaurant according to the order;

and the dish production subsystem is used for producing corresponding dishes according to the production instruction.

In a fifth aspect, an embodiment of the present invention provides a server, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method according to any one of the above first aspects when executing the computer program.

In a sixth aspect, the present invention provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the method according to any one of the above first aspects.

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

according to the embodiment of the invention, the payment amount is divided into the enterprise account and the corporate fund account according to a certain proportion, and then the investment scheme comprising the fund amount information of the enterprise account and the fund amount information of the corporate fund account is generated according to the preset cost information and the fund ratio information of the restaurant branch, so that excessive manual participation is not needed, the restaurant management efficiency and convenience are high, and the user stickiness is high.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

Fig. 1 is a schematic flow chart illustrating an implementation of a method for producing an unmanned restaurant according to an embodiment of the present invention;

fig. 2 is a schematic flow chart of a production method of an unmanned restaurant according to a second embodiment of the present invention;

fig. 3 is another schematic flow chart of a production method of an unmanned restaurant according to a second embodiment of the present invention;

fig. 4 is a schematic flow chart of a production method of an unmanned restaurant according to a second embodiment of the present invention;

fig. 5 is a schematic flow chart of a production method of an unmanned restaurant according to a third embodiment of the present invention;

fig. 6 is a flowchart illustrating a step 502 provided in the fourth embodiment of the present invention;

fig. 7 is a schematic flow chart of a production method of an unmanned restaurant according to a fourth embodiment of the present invention;

fig. 8 is another schematic flow chart of a production mode of an unmanned restaurant according to a fourth embodiment of the present invention;

fig. 9 is a flowchart illustrating a step 501 according to a fourth embodiment of the present invention;

fig. 10 is an interactive flowchart of a method for producing an unmanned restaurant according to a fifth embodiment of the present invention;

fig. 11 is a block diagram schematically illustrating a configuration of an unmanned restaurant production apparatus according to a sixth embodiment of the present invention;

fig. 12 is a schematic block diagram illustrating a configuration of an unmanned restaurant production system according to a seventh embodiment of the present invention;

fig. 13 is a schematic diagram of a server according to an eighth embodiment of the present invention.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

First, before describing the technical solution of the embodiment of the present invention, some application scenarios that may be related to the embodiment of the present invention are described.

The technical scheme of the embodiment of the invention can be particularly applied to an unmanned restaurant and can also be called a robot restaurant.

In a specific application, at least one user terminal and a server are required for realizing the technical scheme of the embodiment of the invention. When the intelligent ordering system is applied to an unmanned restaurant, the user terminal can be an intelligent device such as a mobile phone and a tablet personal to the user, and can also be an intelligent ordering terminal provided by the restaurant. The method comprises the steps that a user can know dish styles of a restaurant through a user terminal and complete operations such as ordering and payment, a server divides payment amount of the user into an enterprise account and a capital account of an enterprise co-constructor, when a follow-up user needs to set up a restaurant branch, cost information, investment proportion information and the like of the branch can be submitted, and the server can generate a restaurant investment scheme according to a certain funding proportion. And after the user finishes payment, the server sends out a corresponding control instruction according to the order of the user to control the dish production system of the unmanned restaurant to produce corresponding dishes.

It should be noted that the above-mentioned application scenarios are only exemplary, and in a specific application, the technical solution of the embodiment of the present invention may also be applied to some other application scenarios, which are not limited herein.

After the application scenarios that may be related to the technical solution of the embodiment of the present invention are introduced, the technical solution of the embodiment of the present invention will be described in detail below.

In order to illustrate the technical solutions provided by the embodiments of the present invention, the following description is given by way of specific examples.

Example one

The following describes a specific flow of the unmanned restaurant production method provided by the embodiment of the invention from the server side. Referring to fig. 1, a schematic flow chart of an implementation of a method for producing an unmanned restaurant according to an embodiment of the present invention is shown, where the method includes the following steps:

step 101, receiving a food ordering order sent by a user terminal.

And 102, sending a payment request to the user terminal according to the order form.

And 103, receiving payment amount information sent by the user terminal after the user finishes payment operation through the user terminal.

Specifically, the user terminal can display various dish styles and corresponding prices, the user can operate the user terminal, so that after the user terminal generates a corresponding ordering order, the user terminal sends the ordering order to the server, and after the server receives the corresponding ordering order, the server sends a payment request to the user terminal, wherein the payment request comprises the amount information to be paid. The user can complete payment through the user terminal, and then the user terminal returns payment amount information to a payment completion instruction to the server, wherein the payment completion instruction comprises the payment amount information.

And step 104, dividing the payment amount into the enterprise account and the enterprise co-construction fund account according to the preset division ratio.

It should be noted that the preset division ratio may refer to a ratio of dividing the payment amount of each time into the enterprise account and the corporate fund account. For example, if the corporate account is 90% and the corporate co-builder fund account is 10%, 90% of the payment amount is divided into the corporate account and 10% of the payment amount is divided into the corporate co-builder fund account. The preset division ratio can be set according to actual requirements and actual application scenes, and is not limited herein.

And 105, receiving budget cost information and investment proportion information of a user for setting up the restaurant branch, wherein the investment proportion information comprises enterprise account funding proportion information and enterprise co-construction fund account funding proportion information.

It should be noted that the preset cost information may refer to information of money required for opening the restaurant branch, and the investment proportion information refers to a ratio of funding of the enterprise account and the corporate fund account. For example, the investment proportion information is 51% of the fund funding of the enterprise account and 49% of the fund funding of the corporate fund account. Of course, the funding ratio of the enterprise account and the corporate fund account may be set according to actual conditions and actual requirements, and is not limited herein.

The pre-set cost information and the investment proportion information may be uploaded by restaurant shareholders or other stakeholders.

106, generating an investment scheme of the restaurant branch according to the budget cost information and the investment proportion information; the investment scheme comprises the information of the fund amount of the enterprise account, the information of the fund amount of the fund account of the enterprise co-constructor and the information of a sponsor.

It should be noted that the sponsor information may include, but is not limited to, user account information, consumption record information, and the like, where the sponsor is a user who has consumed at a restaurant and has a consumption amount divided into the fund accounts of the corporate establishments for opening restaurant branches, that is, when the user has consumed at the restaurant, a part of the payment amount of the user is divided into the fund accounts of the corporate establishments, at this time, the user may be regarded as a corporate establisher, and when the branch is subsequently opened, money in the fund accounts of the corporate establishments is needed, and when the money for opening the restaurant is a part of the payment amount of a certain user or users, the user or users are the sponsor.

When the fund amount is drawn from the enterprise co-constructor fund account, a certain amount can be drawn from the enterprise co-constructor fund account according to the fund investment sequence, namely the consumption sequence and the cost information, and the fund amount is used for opening branch stores.

For example, when the capital expenditure of the enterprise account is 51%, the capital expenditure of the enterprise co-construction fund account is 49%, and the cost information is 10 ten thousand yuan, the capital expenditure of the enterprise account is 5.1 ten thousand yuan, the capital expenditure of the enterprise co-construction fund account is 4.9 ten thousand yuan, and 4.9 ten thousand yuan is divided according to the investment sequence of the co-construction fund.

And step 107, sending a production instruction to a dish production system of the unmanned restaurant according to the order for ordering so that the dish production system produces corresponding dishes according to the production instruction.

It is understood that the dish production system includes an ingredient subsystem, a stir-fry subsystem, a heating subsystem, a seasoning subsystem, a packaging subsystem, and a washing subsystem. Wherein, the batching subsystem can specifically include the batching manipulator, and the system of stir-fry includes frying pan, driving motor etc..

Specifically, the server generates a corresponding production instruction according to the order of ordering, and the production instruction can be embodied as control parameters, such as how many grams of cucumber and lean meat are respectively weighed, how many times the frying pan is turned over, the heating temperature, the heating time, the type of ingredients and the weight of the ingredients for frying the cucumber. And controlling the batching subsystem, the frying subsystem, the heating subsystem, the seasoning subsystem and the packaging subsystem to carry out batching, frying and seasoning to package so as to obtain the final dish.

In this embodiment, the payment amount is divided into the enterprise account and the corporate fund account according to a certain proportion, and then an investment scheme including the fund amount information of the enterprise account and the fund amount information of the corporate fund account is generated according to the preset cost information and the fund proportion information for setting up the branch stores of the restaurant, so that excessive manual participation is not required, the efficiency and convenience of restaurant management are high, and the user stickiness is high.

Example two

After the investment plan is generated, the user can set up restaurant branches according to the strategy given by the investment plan. And then returning the income for setting up the restaurant branch stores to the enterprise co-constructor according to a certain proportion so as to stimulate the consumption desire of the user.

Based on the first embodiment, referring to another flow diagram of the unmanned restaurant production method provided by the embodiment of the invention shown in fig. 2, after the step 106, that is, after the generating of the investment plan of the restaurant branch according to the budget cost information and the investment proportion information, the method may further include the following steps:

step 201, after a restaurant branch is opened according to an investment plan, transaction information of the restaurant branch is received.

It is understood that the transaction information may include financial statements, journal entries, and other public information of the restaurant branch. The transaction information can be uploaded by a restaurant manager or automatically uploaded by a settlement terminal of a restaurant.

Step 202, the transaction information is sent to a third party public platform, so that the third party public platform publicizes the transaction information.

And step 203, calculating the return income of the restaurant branches every preset period.

And 204, calculating the information of the divided amount of the payers and the enterprises in the enterprise co-constructors according to the preset dividing proportion and the return income.

And step 205, returning the divided money to the account number of the payor in a preset form according to the information of the payor.

The preset period may be set according to actual conditions and requirements, and may be generally set to be one day, one week, one month, and the like, which is not limited herein.

The return revenue may refer to the profit of the restaurant branch, i.e., the profit of the restaurant branch is calculated at intervals. The preset division ratio may refer to a proportion of profit sharing between the corporate builders and the enterprises, and the ratio may be set according to practical applications, and is not limited herein.

The enterprise co-builders are multiple, after the profit share of the enterprise co-builders is calculated, the profit share of the enterprise co-builders can be divided into the profit shares and then divided into the profit shares according to the consumption amount of each co-builder, and the profit shares of the enterprise co-builders can be averagely divided into the profit shares of each enterprise co-builder.

After calculating the profits of the restaurant branch stores, calculating the profit share of each sponsor according to a preset share proportion, and returning the profit share of the sponsor to the account of the sponsor.

The preset form may be embodied as a red packet, may be embodied as a coupon, and may also be embodied as other forms, such as a voucher and cash, which are not limited herein.

For example, if a user orders a meal in a restaurant through the third-party takeout platform, the user logs in the third-party takeout platform through a personal account mobile phone, the server divides the consumed money amount into enterprise co-construction person funds according to a certain proportion when consuming a certain amount of money in the restaurant, and the subsequent consumed money amount of the user is used as the income of the restaurant branch after the restaurant branch is opened, and is returned to the personal account of the user in a selling red packet mode after the income of the restaurant branch is calculated.

It can be seen that the income of the restaurant branch is returned to the user in a certain form, and the consumption enthusiasm of the user can be stimulated to a certain extent.

In order to further stimulate the consumption enthusiasm of the user, the user can be given a certain profit return after the user reaches a certain number of purchases.

Referring to fig. 3, another flow chart of the method for producing an unmanned restaurant according to an embodiment of the present invention is schematically shown, and according to any embodiment, after step 101, that is, after receiving a food ordering order sent by a user terminal, the method may further include:

step 301, counting the order times of the user account of the user.

Step 302, determining whether the order frequency is greater than or equal to a preset frequency threshold.

And step 303, when the order frequency is greater than or equal to the preset frequency threshold value, sending preset reward information to the user account.

And step 304, when the order frequency is smaller than the preset frequency threshold, sending prompt information including the difference between the current order frequency of the user and the preset frequency threshold to the user account.

The preset number threshold may preferably be 20 times, but may be other values. In a specific application, the preset number threshold may be set according to an actual situation, and is not limited herein.

The preset reward information refers to information related to secondary rewards, for example, when the rewards are red packages, corresponding amount of red packages are added to the user account. When the number of times of purchase reaches a certain number, the user can be given corresponding rewards such as free health examination packages, gene detection packages, red packages and the like. Wherein the reward is preferably cash.

The prompt information may include related information for prompting the user how many times the user is poor to reach the preset time threshold, and what reward can be obtained after the preset time threshold is reached, for example, if the current order number is 17 times, the user account is sent with "3 times the user is poor to obtain a free gene detection package.

Therefore, the order frequency is counted, and the user is correspondingly prompted according to the order frequency, so that the consumption enthusiasm of the user can be further stimulated.

The user may place an order to the restaurant through the third party take-away platform or may go directly to the restaurant to place an order. In either way, user satisfaction is very important. Thus, the satisfaction questionnaire may be sent to the user after the user has a meal or at other suitable times.

Referring to fig. 4, a further flow chart of the unmanned restaurant production method according to the embodiment of the present invention is shown, based on any of the above embodiments, after step 103, that is, after receiving the payment amount information sent by the user terminal, the method may further include:

step 401, sending a satisfaction survey questionnaire to the user terminal.

Step 402, after the user fills in the satisfaction survey questionnaire through the user terminal, receiving and storing the satisfaction survey answer sheet sent by the user terminal.

It will be appreciated that the timing of the issuance of the satisfaction questionnaire may be after the user has eaten, or may be other suitable timing.

Therefore, the satisfaction survey questionnaire is issued to the user, so that the user experience can be better known, and the corresponding adjustment and improvement can be continuously performed.

EXAMPLE III

Before the user places an order, the recipe of the proper user can be recommended according to the biological data of the user. To further enhance the user experience.

Based on any of the above embodiments, please refer to fig. 5, which shows a further flow chart of the unmanned restaurant production method according to the embodiment of the present invention, before step 101, that is, before receiving the order sent by the user terminal, the method may further include:

step 501, biological data of a user is acquired, wherein the biological data comprises gene detection data and/or physical examination data, and the physical examination data comprises data of preset physical examination items.

It is understood that the biological data may be pre-stored biological data or biological data uploaded in real time. The biological data may be gene detection data, physical examination data, or physical examination data and gene detection data.

The physical examination data includes examination data of preset physical examination items, which refer to examination items during the physical examination, for example, the preset physical examination items may include physical measurement (height, weight, BMI, obesity index, body fat rate, etc.), digestive system, glycometabolism, lipid metabolism, liver and pancreas function examination, renal function examination blood cell examination, hemogram analysis serum examination, thyroid examination, breast examination, whole body cancer screening, tumor marker detection, and the like, and then the physical examination data includes the detection results of the respective physical examination items. The physical examination data can be uploaded to the server after the user detects the result, or can be acquired by the server from a physical examination mechanism according to the user information of the user.

The gene assaying data refers to gene assaying data stored in advance in a server. The pre-stored gene detection data may be obtained by uploading gene detection data to a server and then performing association storage by the server, specifically, a user sends a gene sample of the user to a gene detection mechanism to perform gene detection data, and after the gene detection data is obtained, the user may upload the gene detection data to the server, or the server may obtain the gene detection data of the user from the gene detection mechanism through a data interface opened by the gene detection mechanism, and then perform association storage on the gene detection data and user information of the user.

The genetic testing data may be a result of testing a genetic sample (e.g., saliva) provided by a user using a conventional genetic testing technique. The genetic testing data may include ancestral analysis, motor genes, nutritional metabolism, health risks, genetic diseases, drug guidelines, genetic traits, and skin characteristics, among others. In general, there were 7 in the ancestral analysis, 17 in the motor genes, 9 in the nutritional metabolism, 88 in the health risk, 46 in the hereditary disease, 14 in the medical guideline, 12 in the hereditary feature, and 7 in the skin feature.

Progenitor analysis may include, but is not limited to, progenitor components, family genes, and the like; exercise genes may include, but are not limited to, caffeine sensitivity, carbohydrate sensitivity, saturated fat sensitivity, carbohydrate intake propensity, total caloric intake propensity, diet effect on body weight, exercise effect on body weight, rate of body temperature rise during exercise, increased muscle endurance, exercise motivation, increased maximum oxygen uptake, and improved heart rate after exercise, among others; nutritional metabolism may include, but is not limited to, lactose metabolic capacity, caffeine metabolic capacity, folate nutritional requirements, calcium nutritional requirements, alcohol metabolic capacity, vitamin E nutritional requirements, iron nutritional requirements, vitamin B12 nutritional requirements, and vitamin a nutritional requirements, among others.

Health risks may include, but are not limited to, diabetes, hypertension, alcohol dependence, allergic diseases, and multiple sclerosis, among others; genetic disorders may include, but are not limited to, familial mediterranean fever, limb-girdle muscular dystrophy type 2D, type B familial hypercholesterolemia, biotin enzyme deficiency, primary carnitine deficiency, and trifunctional protein deficiency; pharmaceutical guidelines may include, but are not limited to, nitroglycerin, ethanol, warfarin-CYP 2C9, celecoxib, losartan, and the like; genetic characteristics may include, but are not limited to, alcoholic blush, bitterness sensitivity, earwax type, smoking propensity, and blood sugar levels, among others; skin characteristics may include, but are not limited to, anti-tanning response, anti-oxidant, anti-glycation, anti-freckle, skin moisturizing, and the like.

It is understood that the above is only a part of the gene testing data and the physical examination data, and in practical cases, the gene testing data and the physical examination data may include more data.

To ensure the accuracy and timeliness of the data, the biometric data of the user may be updated periodically, and the update period may be one year, one month, or other. Preferably, the biometric data of the user is updated on a one-year basis.

Step 502, matching the target food material according to the biological data, the pre-established food standard component database and the user information.

The food standard component database refers to a database for storing standard food components of respective food materials. The standard ingredient database of food stores ingredient data of various conventional foods, food materials and edible animals and plants, wherein the food ingredients can be protein, fat, vitamin, carbohydrate, energy and the like.

The user information may include the age, sex, name, height and weight of the user, account login information, and the like. Wherein the sex information may include a pregnant woman, a lactating woman, etc. in addition to the male and female, and more particularly, the pregnant woman may be subdivided into an initial stage, a middle stage and a later stage. The account login information may refer to the login name and login password of the user registered in the system. The user information may be filled in when the user account is registered, or may be acquired through other ways.

The preset algorithm may be specifically a logistic regression statistical algorithm, and of course, may also be specifically other algorithms, which are not limited herein.

Specifically, the food components required by the user are determined according to the biological data, for example, through gene detection or routine physical examination, the fact that the fasting blood glucose level of the user is higher, the lactose metabolic capacity is weak, the nutritional requirement on vitamin B12 is higher, and the risk of type II diabetes exists is known, so that the user needs food components such as low-sugar low-carbohydrate, multi-dietary fiber and multi-vitamin B12; then according to the user information such as height, weight, sex, age and the like of the user, determining the food components or elements and the reasonable range of the content intake of the elements of each meal of the user, and then searching food materials such as olive oil, spinach, shellfish, bean curd, chopped green onion, garlic, chrysanthemum, honey, lemon and the like which have the food components such as low sugar and low carbohydrate, multi-dietary fiber and multi-vitamin B12 by utilizing algorithms such as regression statistics and a food standard component database, wherein the amount of the matched food materials meets the reasonable range of the energy intake of each meal of the user.

It can be understood that the target food materials can be screened by using the physical examination data alone, the gene detection data alone or combining the physical examination data and the gene detection data, and the processes of the three are similar. For example, the fasting blood glucose level of the user is determined to be high and the lactose metabolic capacity of the user is determined to be weak through the sugar metabolism detection data in the physical examination data, so that the user can be determined to need food ingredients such as low sugar and low carbohydrate, and then the target food material is matched according to the food ingredients. Similarly, the process of matching the target food material by using the gene detection data or the gene detection data and the physical examination data is also similar, and is not described herein again.

In contrast, the physical examination data is more accurate than the genetic testing data, i.e., the physical examination data can more accurately characterize the physical aspects of the user. However, both are capable of implementing embodiments of the present invention.

Step 503, generating a recommended recipe according to the target food material and a pre-established dish recipe list.

It should be noted that the dish recipe list may include a name of each dish, food material information used by the dish, and processing information of each dish. The food material information may refer to a name, a weight, and the like of each food material, and the processing information may refer to a processing order, a heating temperature, a processing time, and the like of each food material. The dish recipe list may be stored in a food database, which may be created based on the collected recipes for each dish.

The dish formula list can comprise characteristic dishes in a plurality of different regions, and the dish formula list is established by collecting dish formula information of each region and then according to the dish formula information of each region. For example, 10 characteristic dish recipe information of Guangzhou and 10 special dish recipe information of Beijing are collected. And finally, selecting corresponding special dishes from the special dish formulas of the areas where the users are located to generate a recommended recipe.

It can be understood that when the dish recipe list is applied to an unmanned restaurant, the dish recipe list can include food material information such as names and weights of required food materials, and processing information of dishes, because the processing of the dishes is completed by a machine, processing parameters in the process of processing the dishes need to be determined, for example, processing information such as rotation angles of food material gripping arms, voltage and current values of motors on the arms, stir-frying times and the like. The processing information may be previously input by the user according to each dish and stored in association with the dish.

For example, when the target food materials are olive oil, spinach, shellfish, tofu, chopped green onion, garlic, chrysanthemum, honey and lemon, a recommended recipe including minced shellfish-fried spinach, lemon chrysanthemum honey and shallot-fried tofu can be generated according to the recipe list of the dish.

The generated recommended recipe may be a recipe for each meal, or may be a recipe for each week or each month, that is, a recipe recommendation for each meal, each week, each month, or other time period may be made based on the biometric data of the user.

In this embodiment, food ingredients meeting the user are matched from the food standard ingredient database based on the biological data of the user, so that a recommended recipe is generated, and since the biological data of each user is different and the required food ingredients are also different, the recipe recommendation is performed based on the biological data of the user, so that the individual differences of the user are fully considered, and the recipe most suitable for the user is recommended.

Example four

Referring to fig. 6, a flowchart illustrating a specific implementation procedure of step 502 in the foregoing embodiment according to the present invention, based on the third embodiment, in step 502, that is, matching the target food material according to the gene detection data, the pre-established food standard component database, and the user information of the user specifically includes:

601, determining target food components according to gene detection data and/or physical examination data;

step 602, calculating the ingestible amount of each target food component according to the user information;

step 603, matching the target food materials according to the target food components, the ingestible portions and the food standard component database through a logistic regression algorithm.

Specifically, the ingestible food components or the ingestible elements and the content ranges of the ingestible food components and the ingestible elements per meal of the user can be calculated according to the user information such as the gender, the age, the height and the weight of the user, where the range refers to a reasonable range, for example, an adult male ingests a target energy range a per meal. More specifically, it can be subdivided into the intake of each food ingredient, for example, how many grams of carbohydrate are ingested and how many grams of protein are ingested.

After the ingestible range of the recipe components of the user is calculated, the target food components required by the user are determined, namely, the food components meeting the user are determined based on the requirements of the biological data of the user, and then the target food materials meeting the user are counted from a food standard component database through a logistic regression algorithm.

Therefore, the food materials required by the user are matched according to the biological data and the user information, so that the follow-up recommended recipes can better accord with the individual difference of the user.

Referring to fig. 7, a flow chart of the method for producing an unmanned restaurant according to the embodiment of the present invention is schematically shown, and based on the third embodiment, after generating a recommended recipe according to the target food material and the pre-established recipe list, the method may further include the following steps:

step 701, obtaining a historical ordering record of a user.

The historical ordering record may refer to an ordering record of a user account. In specific application, when a user uses a third-party takeout platform, for example, mei qu, a historical order of an account can be acquired through the account of the third-party takeout platform of the user; when the platform provided by the restaurant is used by the user, the user can use the platform after registration, so that the historical ordering record of the user can be obtained by obtaining the historical order information of the user account of the restaurant platform.

Step 702, analyzing the historical ordering record to obtain the taste preference of the user.

It should be noted that the taste preference of the user may refer to the taste of the user, the preference of dishes, etc., for example, the user likes to eat spicy fish, and prefers to cook fish.

Specifically, the user's preferred dishes and tastes can be counted by counting the number of times each dish appears from the history ordering record.

And 703, screening out dishes conforming to the taste preference from the recommended recipes, and generating the recommended recipes conforming to the user preference.

After the corresponding recommended recipe is generated based on the biological data and the user information of the user, there may be dishes in the recommended recipe that the user does not like to eat, and the experience of the user may be affected. In order to find the balance among the user experience, nutrition balance and individualized differences, further screening can be performed from the recommended recipes according to the taste preference of the user so as to ensure the user experience and the nutrition balance of the user.

For example, when the recommended recipe includes a plurality of vegetables including the spinach fried with the garlic clove, the spinach fried with the lemon chrysanthemum honey, the bean curd fried with the shallot, the egg fried with the tomato and the meat fried with the cucumber, and the user likes to eat the tomato and dislikes to eat the spinach, the spinach fried with the garlic clove and the shellfish is removed, and finally the recipe according with the preference of the user taste is generated.

Therefore, on the basis of the generated recommended recipes, the further screening is carried out according to the taste preference of the user, so that the individuation difference of the recipes can be ensured, and the experience feeling of the user can also be ensured.

Referring to fig. 8, another flow chart of the method for producing an unmanned restaurant according to the embodiment of the present invention is shown, based on the third embodiment, before the obtaining the pre-stored gene detection data of the user, the method may further include:

step 801, receiving biological data and user information of a user.

Specifically, the user can register through the user terminal, input corresponding user information such as name, age, sex, height and weight and the like to complete registration, and the server stores the received user information. The method comprises the steps of acquiring gene detection data or physical examination data of a user from a gene detection mechanism or a physical examination mechanism, or receiving biological data uploaded by the user.

The user registration can use real-name authentication, so that the system can automatically acquire the gene detection data or physical examination data of the user through a data interface opened by a gene detection mechanism or a physical examination mechanism according to the name of the user.

And step 802, performing association binding on the biological data and the user information, and storing the biological data and the user information.

And step 803, establishing a food standard component database.

And step 804, receiving dish formula information of each preset target area.

And step 805, establishing a dish formula list according to the dish formula information.

The gene detection data and the user information are in one-to-one correspondence, so that the corresponding gene detection information can be conveniently found through the user information in the follow-up process.

It is understood that the dish recipe list may be configured by experience of a chef or other users, and a plurality of dish lists, a stir-frying method, raw materials, and the like of each dish are input into the server for storage, so as to generate the dish recipe list.

And the formula information of the special dishes in each region can be collected in advance, and then the proper dishes are selected from the special dishes in the region according to the location of the user to generate the recommended recipe. For example, if the user is in Guangzhou, a recommended recipe is generated by selecting appropriate dishes from the dishes such as characteristic dish steamed vermicelli roll and pot-stewed dishes in Guangzhou.

The food standard component data can be obtained by collecting a large amount of even massive food material specific information, such as food components of each food material, and then establishing a food standard component database according to the food material big data.

Therefore, the gene detection data and the user information of the user are stored in advance in an associated mode, a food standard component database and a dish formula list are established, and the generation efficiency of the follow-up recommended recipes is improved.

Referring to fig. 9, which is a specific flowchart of step 501 provided in the embodiment of the present invention, based on the third embodiment, the step 501, that is, the process of acquiring the pre-stored gene detection data of the user, may specifically include:

and step 901, receiving login information of the user sent by the user terminal.

The user terminal may be, but is not limited to, a mobile phone, a tablet, a meal ordering device, and the like. When the third-party takeout platform is used by the user, the user terminal can be a mobile phone or a tablet, that is, the user can log in by using the third-party takeout account through the mobile phone of the user terminal or the like.

The login information may include information such as a login name and a login password, and the login information is included in the user information.

Step 902, judging whether the biological data associated with the login information is found according to the login information;

and step 903, when the associated biological data is found, acquiring the biological data.

Specifically, whether the user is a newly registered user is judged according to the login information, wherein the newly registered user refers to a user whose biological data is not uploaded to the server for storage; if the associated biological data can be found according to the login information, the user is indicated to have the biological data, and the biological data is associated with the user information. If not, indicating that the user is a newly registered user, then step 904 is entered.

And 904, recommending a preset type recipe to the user when the associated biological data is not found, wherein the preset type recipe comprises at least one of a nutrition recipe, a weight-losing recipe and a physique-enhancing recipe.

Specifically, when the user is a newly registered user, one or more of the nutritional recipes, the weight-loss recipes, and the physical fitness recipes may be recommended to the user according to preset nutritional recipes.

It should be noted that three options of nutrition, weight loss and physical fitness enhancement can be provided for the user when the user logs in for the first time, and after the user selects the three options, the corresponding recipe can be recommended to the user according to the selection of the user.

Furthermore, when the user selects one or more of nutrition, weight loss and physical fitness enhancement, the user can refer to the setting options of the user to generate a corresponding recipe after generating a recommended recipe based on the biological data of the user. For example, when a user selects a weight loss option, some high fat food material usage may be avoided or a recommendation for a high fat dish may be generated for the user.

It can be seen that the recipes of a plurality of types are set for the user, so that the experience degree of the user can be improved, and meanwhile, the system is more diversified.

EXAMPLE five

The following description of the present embodiment of the invention will be presented from a system side to describe an unmanned restaurant production method according to an embodiment of the present invention, please refer to fig. 10 for illustrating an interaction flow diagram of an unmanned restaurant production method according to an embodiment of the present invention, where the method may include:

step 1001, the user terminal generates a food ordering order according to the food ordering instruction of the user,

step 1002, sending the order form to a server;

step 1003, the server receives the order form and sends a payment request to the user terminal according to the order form;

step 1004, after the user finishes payment operation through the user terminal, receiving payment amount information sent by the user terminal;

step 1005, dividing the payment amount into an enterprise account and an enterprise co-construction fund account according to a preset division ratio;

step 1006, receiving budget cost information and investment proportion information of a user for setting up a restaurant branch, wherein the investment proportion information includes enterprise account funding proportion information and enterprise co-construction fund account funding proportion information;

step 1007, generating an investment scheme of the restaurant branch according to the budget cost information and the investment proportion information; the investment scheme comprises the information of the fund amount of the enterprise account, the information of the fund amount of the fund account of the enterprise co-constructor and the information of a sponsor.

And step 1008, sending a production instruction to a dish production system of the unmanned restaurant according to the order for ordering, so that the dish production system produces corresponding dishes according to the production instruction.

It should be noted that the same or similar parts between the present embodiment and the above embodiments can be referred to each other, and are not repeated herein.

It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

EXAMPLE six

The following description will be given of the unmanned restaurant production apparatus according to the present embodiment, which can be mutually referred to with the above-described unmanned restaurant production method.

Referring to fig. 11, a schematic block diagram of a structure of an unmanned restaurant production apparatus according to an embodiment of the present invention is provided, where the apparatus is specifically integrated at a server side, and specifically may include:

a first receiving module 111, configured to receive a food ordering order sent by a user terminal;

a payment request sending module 112, configured to send a payment request to the user terminal according to the order;

a second receiving module 113, configured to receive payment amount information sent by the user terminal after the user completes a payment operation through the user terminal;

the dividing module 114 is configured to divide the payment amount into the enterprise account and the corporate fund account according to a preset dividing ratio;

a third receiving module 115, configured to receive budget cost information and investment proportion information of a user for setting up a restaurant branch, where the investment proportion information includes enterprise account funding proportion information and enterprise co-constructor fund account funding proportion information;

an investment scheme generating module 116, configured to generate an investment scheme for each restaurant branch according to the budget cost information and the investment proportion information; the investment scheme comprises the fund amount information of an enterprise account, the fund amount information of a fund account of an enterprise co-constructor and the sponsor information;

and the production module 117 is used for sending a production instruction to the dish production system of the unmanned restaurant according to the order for ordering so that the dish production system produces corresponding dishes according to the production instruction.

EXAMPLE seven

Referring to fig. 12, a schematic block diagram of an unmanned restaurant production system according to an embodiment of the present invention is shown, which may include at least one user terminal 121, a server 122 communicatively connected to the user terminal, and a dish production subsystem 123 communicatively connected to the server;

the server is used for receiving the order form; sending a payment request to a user terminal according to the order form; after a user finishes payment operation through a user terminal, receiving payment amount information sent by the user terminal; according to a preset division ratio, the payment amount is divided into an enterprise account and an enterprise co-construction person fund account; receiving budget cost information and investment proportion information of a user for setting up restaurant branches, wherein the investment proportion information comprises enterprise account funding proportion information and enterprise co-construction fund account funding proportion information; generating an investment scheme of the restaurant branch according to the budget cost information and the investment proportion information; the investment scheme comprises the fund amount information of an enterprise account, the fund amount information of a fund account of an enterprise co-constructor and the sponsor information; sending a production instruction to a dish production subsystem of the unmanned restaurant according to the order;

the dish production subsystem is used for producing corresponding dishes according to the production instructions.

The same or similar parts between this embodiment and the above embodiments can be referred to each other, and are not described herein again.

Example eight

Fig. 13 is a schematic diagram of a server according to an embodiment of the present invention. As shown in fig. 13, the server 13 of this embodiment includes: a processor 130, a memory 131, and a computer program 132, such as a restaurant management program, stored in the memory 131 and operable on the processor 130. The processor 130, when executing the computer program 132, implements the steps described above in the various embodiments of unmanned restaurant production, such as steps 101-107 shown in fig. 1. Alternatively, the processor 130 implements the functions of the modules or units in the above device embodiments, such as the functions of the modules 111 to 117 shown in fig. 11, when executing the computer program 132.

Illustratively, the computer program 132 may be partitioned into one or more modules/units that are stored in the memory 131 and executed by the processor 130 to implement the present invention. The one or more modules or units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 132 in the server 13. For example, the computer program 132 may be divided into a first receiving module, a payment request sending module, a second receiving module, a dividing module, a third receiving module, an investment plan generating module, and a production module, each module having the following specific functions:

the investment scheme generation module is used for generating an investment scheme of the restaurant branch according to the budget cost information and the investment proportion information; the investment scheme comprises the fund amount information of an enterprise account, the fund amount information of a fund account of an enterprise co-constructor and the sponsor information;

and the production module is used for sending a production instruction to a dish production system of the unmanned restaurant according to the order of ordering so that the dish production system produces corresponding dishes according to the production instruction.

The server 13 may be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The server may include, but is not limited to, a processor 130, a memory 131. Those skilled in the art will appreciate that fig. 13 is merely an example of a server 13 and does not constitute a limitation of server 13 and may include more or fewer components than shown, or some components in combination, or different components, e.g., the server may also include input output devices, network access devices, buses, etc.

The Processor 130 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The storage 131 may be an internal storage unit of the server 13, such as a hard disk or a memory of the server 13. The memory 131 may also be an external storage device of the server 13, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the server 13. Further, the memory 131 may also include both an internal storage unit and an external storage device of the server 13. The memory 131 is used to store the computer program and other programs and data required by the server. The memory 131 may also be used to temporarily store data that has been output or is to be output.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

In the embodiments provided in the present invention, it should be understood that the disclosed server and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated modules or units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims

1. A method of producing an unmanned restaurant, comprising:

receiving a food ordering order sent by a user terminal;

sending a payment request to the user terminal according to the ordering order;

2. The method of claim 1, further comprising, after the generating an investment plan for the restaurant branch based on the budget cost information and the investment proportion information:

3. The method of claim 1, wherein after receiving the order sent by the user terminal, further comprising:

counting the order times of the user account of the user;

4. The method of any one of claims 1 to 3, wherein after receiving the payment amount information sent by the user terminal, the method further comprises:

sending a satisfaction survey questionnaire to the user terminal;

5. The method of any of claims 1 to 3, further comprising, prior to receiving the order sent by the user terminal:

6. The method of claim 5, wherein matching the target food material based on the biometric data, the pre-established database of food standard ingredients, and the user information comprises:

7. The method of claim 5, further comprising, after the generating a recommended recipe from the target food material and a pre-established menu of recipe recipes:

obtaining a historical ordering record of the user;

8. The method of claim 7, prior to said obtaining biometric data of the user, further comprising:

receiving the biometric data and the user information of the user;

establishing a food standard component database;

receiving dish formula information of each preset target area;

9. The method of claim 8, wherein the obtaining biometric data of the user comprises:

receiving login information sent by the user terminal;

10. The method of claim 9, wherein after determining whether the biometric data associated with the login information is located based on the login information, further comprising:

11. A method of unmanned restaurant production, the method comprising:

12. An unmanned restaurant production apparatus, integrated at a server side, the apparatus comprising:

13. An unmanned restaurant production system is characterized by comprising at least one user terminal, a server in communication connection with the user terminal and a dish production subsystem in communication connection with the server;

14. A server comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the steps of the method according to any of claims 1 to 10 are implemented when the computer program is executed by the processor.

15. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 10.