CN112288536A - Full-automatic ordering method, computer readable storage medium, server and full-automatic intelligent ordering system - Google Patents
Full-automatic ordering method, computer readable storage medium, server and full-automatic intelligent ordering system Download PDFInfo
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- CN112288536A CN112288536A CN202011197099.0A CN202011197099A CN112288536A CN 112288536 A CN112288536 A CN 112288536A CN 202011197099 A CN202011197099 A CN 202011197099A CN 112288536 A CN112288536 A CN 112288536A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0623—Item investigation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0621—Item configuration or customization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/12—Hotels or restaurants
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
Abstract
The invention provides a full-automatic ordering method, a computer readable storage medium, a server and a full-automatic intelligent ordering system, wherein the method comprises the following steps: acquiring the dining requirement of a user; analyzing to obtain a proper dish to be selected according to the dining requirement; acquiring real-time position information of a user; acquiring a merchant which is positioned near the user and can make dishes to be selected according to the real-time position information; acquiring the dish quality information of the dish to be selected made by each merchant, and analyzing according to the dish quality information of the dish to be selected to obtain the optimal degree of each merchant; and ordering the dishes to be selected from the merchants with the highest preference degree. Therefore, only the user needs to input the dining requirement, and the user can automatically order the dishes to obtain the appropriate dishes without spending time to select a merchant.
Description
Technical Field
The invention relates to the technical field of information processing, in particular to a full-automatic ordering method, a computer readable storage medium, a server and a full-automatic intelligent ordering system.
Background
With the rapid development of society, people pay more and more attention to the health problem of food and beverage, if a person is in trouble with physical health or has special dining requirements in a large amount of exercise periods, the person needs to eat dishes which are beneficial to physical health or can meet the exercise requirements, namely the person has special dining requirements. In order to obtain dishes capable of meeting the dining requirements, at present, the food materials with nutrition and the matching scheme thereof are obtained by manually checking data, and dishes capable of meeting the dining requirements are obtained by combining cooking experience analysis.
The existing healthy diet data processing system firstly obtains crowd type information input by a user, and then obtains healthy dish information through analysis according to food material nutrition data, menu data in a catering industry menu database, crowd characteristic information corresponding to the crowd type information of the user and common disease information, so that the user can eat directly on the basis of the healthy dish information to meet the dining requirement. However, after the health dish information is obtained, if the user obtains the dishes meeting the health dish information in a take-away ordering mode, the user needs to select a proper one from a plurality of merchants capable of making the dishes on the take-away program to order the dishes, so that the user needs to spend time on selecting the merchant, and the user can easily select a poor merchant to order the dishes to obtain the improper dishes.
Disclosure of Invention
The technical problem to be solved by the invention is how to enable a user to automatically order dishes to obtain proper dishes without spending time on selecting a merchant.
In order to solve the technical problem, the invention provides a full-automatic ordering method, which comprises the following steps:
A. acquiring the dining requirement of a user;
B. analyzing to obtain a proper dish to be selected according to the dining requirement;
C. acquiring real-time position information of the user;
D. acquiring a merchant which is positioned near the user and can produce the dish to be selected according to the real-time position information;
E. acquiring dish quality information of the dish to be selected made by each merchant;
F. analyzing the dish quality information of the dish to be selected to obtain the optimal degree of each merchant;
G. and ordering the dishes to be selected from the merchants with the highest preference degrees.
Preferably, said step B specifically: and analyzing to obtain a menu within a period of time according to the dining requirement, wherein the menu records a plurality of suitable dishes and information of a plurality of dining times corresponding to the suitable dishes, and the dish corresponding to the dining time immediately after the current time on the menu is taken as the dish to be selected.
Preferably, the ordering is a takeaway ordering, wherein: in the step F, obtaining the estimated delivery time of the dish to be selected made by the merchant with the highest preference degree from a takeout program according to the real-time location information, and subtracting the estimated delivery time from the meal time immediately after the current time to obtain an ordering time; said step G is performed when the current time reaches said subscription time.
Preferably, in step F, the degree of preference of each of the merchants is analyzed in combination with the expected delivery time of each of the merchants.
Preferably, in the step D, if there is no merchant near the user who can make the dish to be selected, the menu is selected with a dish corresponding to another meal time as a substitute for the dish to be selected.
Preferably, if all the merchants near the user cannot make any dish on the menu, recommending other dishes meeting the dining requirement as substitutes for the dish to be selected.
Preferably, the dish quality information comprises food material information, ingredient information and/or grading information; in the step F, the preferred degree of each merchant is analyzed by combining the personal tastes of the past food ordering of the user.
The invention also provides a computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method as described above.
The invention also provides a server, comprising a control device and a communication device, wherein the control device is electrically connected with the communication device and comprises a computer readable storage medium and a processor which are connected with each other, and the computer readable storage medium is as described above; in the step A, acquiring the dining requirement of a user by using the communication device; in the step C, real-time location information of the user is acquired by using the communication device.
The invention also provides a full-automatic intelligent ordering system, which comprises a server and portable intelligent communication equipment with a positioning function, wherein the server is connected with the portable intelligent communication equipment through the communication device of the server in a communication way; in the step A, the server acquires the dining requirement of the user from the portable intelligent communication equipment by using the communication device of the server; in step C, the server acquires the real-time location information of the user from the portable intelligent communication device by using the communication device of the server.
The invention has the following beneficial effects: after a proper dish to be selected is obtained through analysis according to the dining requirement of a user, merchants which are located near the user and can make the dish to be selected are obtained according to the real-time position information of the user, then dish quality information of the dish to be selected made by each merchant is obtained, the optimization degree of each merchant is obtained through analysis according to the dish quality information of the dish to be selected, and then the dish to be selected is ordered to the merchant with the highest optimization degree.
Drawings
FIG. 1 is a block diagram of the circuit connections of a fully automatic intelligent ordering system;
FIG. 2 is a general flow diagram of a fully automatic ordering method;
fig. 3 is a detailed flow chart of the full-automatic ordering method.
Description of reference numerals: 1-portable intelligent communication equipment; 2-a server; 3-a control device; 4-communication means.
Detailed Description
As shown in fig. 1, the fully automatic intelligent ordering system includes a portable intelligent communication device 1 and a server 2, wherein: the portable intelligent communication device 1 has a positioning function, and can be a mobile phone, a tablet computer, a notebook computer and the like; the server 2 comprises a control device 3 and a communication device 4, the control device 3 is electrically connected with the communication device 4, and the server 2 is in communication connection with the portable intelligent communication equipment 1 through the communication device 4.
If the user is in fitness, the user needs to eat food with high protein content, so the user can use the full-automatic intelligent ordering system to realize a full-automatic takeaway ordering method, which is shown in fig. 2 and 3 and detailed as follows:
the user inputs the high-protein dining requirement on the portable intelligent communication device 1, and then the control device 3 of the server 2 acquires the high-protein dining requirement input by the user from the portable intelligent communication device 1 by using the communication device 4. Then, the control device 3 analyzes the meal demand with high protein to obtain a menu suitable for the fitness person in the next week, and the menu records the meal time of each day in the week and information of a plurality of suitable dishes corresponding to the meal time, for example, the dish corresponding to Monday noon 12 is beef stir-fried with green pepper, the dish corresponding to Monday afternoon 6 is beef with egg, the dish corresponding to Tuesday noon 12 is fried egg with hotbed chives, and the dish corresponding to Tuesday afternoon 6 is beef stewed with potatoes … …, wherein the dishes corresponding to the meal times are not identical. At 3 pm on monday, the meal time immediately after the current time is 6 pm on monday, and the control device 3 of the server 2 uses the scrambled beef corresponding to 6 pm on monday on the menu as the dish to be selected. The control device 3 of the server 2 then obtains the real-time location information of the user from the portable intelligent communication device 1 by using the communication device 4, and then obtains a merchant who can make the slide egg beef near the user, for example, within 3km from the user from the takeaway program according to the real-time location information. Then, the control device 3 of the server 2 acquires the food material information, ingredient information, score information, and estimated delivery time of the scrambled egg beef produced by each merchant from the takeaway program, and analyzes the preference degree of each merchant according to the dish quality information of the dish to be selected, wherein the score information is used as a first priority, the food material information is used as a second priority, the ingredient information is used as a third priority, and the estimated delivery time is used as a fourth priority to analyze, specifically: firstly, comparing the scoring information of each merchant, and taking the merchant with the highest score as the merchant with the highest preference degree; if more than two merchants with the highest scores exist, comparing the quantities of the food materials such as beef, eggs and the like of each merchant with the highest scores, and taking the merchant with the largest quantity of the food materials as the merchant with the highest optimization degree; if more than two merchants with the largest food material amount still exist, comparing ingredient types such as ginger, shallot and garlic of the merchants with the highest scores and the largest food material amounts, and taking the merchant with the ingredient type most conforming to the personal taste of the user for ordering the food in the past as the merchant with the highest preference degree (the personal taste of the user for ordering the food in the past is obtained from a takeout program, which is a conventional technical means in the field and is not described herein); and if more than two merchants with the ingredients most meeting the personal taste of the user for ordering in the past remain, the expected delivery time of each merchant with the highest comparison score, the largest food material amount and the most ingredients meeting the personal taste of the user for ordering in the past is taken as the merchant with the highest preference degree. After the merchant with the highest preference degree is obtained, the estimated delivery time of the egg-sliding beef made by the merchant can be obtained to be 30 minutes, so that the estimated delivery time is subtracted from the estimated delivery time of 30 minutes at 6 pm on Monday, the ordering time is about 5 pm on Monday, and half, therefore, when the current time reaches 5 pm on Monday, the control device 3 of the server 2 orders the egg-sliding beef to the merchant with the highest preference degree on the takeout program, so that when the current time reaches 6 pm on Monday, the merchant can deliver the egg-sliding beef to the user, and the user can automatically order to obtain the proper dishes without spending time on selecting the merchant. The server 2 records personal information such as a user's name, telephone number, and historical delivery address, and takes the historical delivery address located near the user's real-time location information as the current delivery address, thereby forming the order placing information to be provided to the server 2 for placing the order, and if the historical delivery address is not recorded in the portable intelligent communication device 1, the order placing is performed with the user's current real-time location information as the current delivery address.
In the process that the server 2 acquires merchants capable of making the egg-sliding beef near the user from the takeaway program according to the real-time position information of the user, if no merchant capable of making the egg-sliding beef is near the user, the server 2 randomly selects dishes corresponding to other eating times on a menu as substitutes for the dishes to be selected, such as green pepper fried beef and hotbed chives fried eggs … …, and the control device 3 of the server 2 acquires the merchants capable of making new dishes to be selected near the user to perform subsequent ordering steps; if all the merchants nearby the user cannot make any dish on the menu, the server 2 intelligently recommends other dishes capable of meeting the high-protein meal demand as substitutes for the dish to be selected, wherein more than half of the making food materials of the other dishes are the same as those of the dish to be selected, such as bitter gourd beef, which is made with beef and bitter gourds, and the making food materials of the egg-type beef to be selected are beef and eggs, so that the making food materials of the bitter gourd beef and the egg-type beef are both beef with beef, and the beef proportion is up to half, namely more than half of the making food materials of the bitter gourd beef are the same as those of the egg-type beef, and the bitter gourd beef can meet the high-protein meal demand, so that the bitter gourd beef can be recommended as a substitute for the egg-type beef; the control means 3 of the server 2 then retrieves the merchant located near the user who can make the balsam pear beef for the subsequent ordering step.
In this embodiment, if the user has a problem with the physical health, the user needs to eat food beneficial to the physical health, for example, if the user has diabetes, the user needs to eat food with low sugar, low salt and low oil, so that in the process of using the full-automatic intelligent ordering system to realize full-automatic takeout ordering, the user presets health information with diabetes on the portable intelligent communication device 1, so that the control device 3 of the server 2 obtains the eating demand with low sugar and low salt and low oil from the portable intelligent communication device 1 by using the communication device 4, then the control device 3 can analyze the eating demand with low sugar and low salt and low oil to obtain a menu suitable for the diabetes patient in the next week, the subsequent ordering step is similar to the above, and further description is omitted here.
The control device 3 comprises a computer-readable storage medium and a processor which are connected with each other, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, the above-mentioned full-automatic meal ordering method is realized.
In the methods set forth directly or indirectly in the specification, various steps and operations are described in one possible order of operation, but those skilled in the art will recognize that steps and operations may be rearranged, substituted, or eliminated without necessarily departing from the spirit and scope of the invention. It is understood that the examples and embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Various modifications or alterations in view thereof will be suggested to those skilled in the art and are intended to be included within the scope of the claims of this application.
Claims (10)
1. A full-automatic ordering method is characterized by comprising the following steps:
A. acquiring the dining requirement of a user;
B. analyzing to obtain a proper dish to be selected according to the dining requirement;
C. acquiring real-time position information of the user;
D. acquiring a merchant which is positioned near the user and can produce the dish to be selected according to the real-time position information;
E. acquiring dish quality information of the dish to be selected made by each merchant;
F. analyzing the dish quality information of the dish to be selected to obtain the optimal degree of each merchant;
G. and ordering the dishes to be selected from the merchants with the highest preference degrees.
2. The fully automatic meal ordering method according to claim 1, wherein said step B specifically: and analyzing to obtain a menu within a period of time according to the dining requirement, wherein the menu records a plurality of suitable dishes and information of a plurality of dining times corresponding to the suitable dishes, and the dish corresponding to the dining time immediately after the current time on the menu is taken as the dish to be selected.
3. The fully automatic ordering method according to claim 2, wherein the ordering is a takeaway ordering, wherein:
in the step F, obtaining the estimated delivery time of the dish to be selected made by the merchant with the highest preference degree from a takeout program according to the real-time location information, and subtracting the estimated delivery time from the meal time immediately after the current time to obtain an ordering time;
said step G is performed when the current time reaches said subscription time.
4. The fully automated method of ordering food according to claim 3 wherein in step F, the preferred degree for each merchant is analyzed in conjunction with the expected delivery time of each merchant.
5. The fully automatic meal ordering method according to claim 2, wherein in the step D, if there is no merchant near the user who can make the dish to be selected, dishes corresponding to other meal times are selected on the menu as a substitute for the dish to be selected.
6. The fully automatic ordering method of claim 5 wherein if none of the merchants near the user can make any of the dishes on the menu, then other dishes that can meet the meal need are recommended as alternatives to the dish to be selected.
7. The fully automatic ordering method according to claim 1, wherein: the dish quality information comprises food material information, ingredient information and/or grading information; in the step F, the preferred degree of each merchant is analyzed by combining the personal tastes of the past food ordering of the user.
8. A computer-readable storage medium, on 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 7.
9. A server comprising a control device and a communication device, the control device being electrically connected to the communication device, the control device comprising a computer readable storage medium and a processor connected to each other, characterized in that: the computer-readable storage medium as recited in claim 8; in the step A, acquiring the dining requirement of a user by using the communication device; in the step C, real-time location information of the user is acquired by using the communication device.
10. The utility model provides a full-automatic intelligent ordering system, includes server and portable intelligent communication equipment that has locate function, characterized by: the server of claim 9, the server being communicatively connected to the portable intelligent communications device via its communications means; in the step A, the server acquires the dining requirement of the user from the portable intelligent communication equipment by using the communication device of the server; in step C, the server acquires the real-time location information of the user from the portable intelligent communication device by using the communication device of the server.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011197099.0A CN112288536A (en) | 2020-10-30 | 2020-10-30 | Full-automatic ordering method, computer readable storage medium, server and full-automatic intelligent ordering system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011197099.0A CN112288536A (en) | 2020-10-30 | 2020-10-30 | Full-automatic ordering method, computer readable storage medium, server and full-automatic intelligent ordering system |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108897768A (en) * | 2018-05-25 | 2018-11-27 | 北京三快在线科技有限公司 | A kind of method of ordering and device, electronic equipment |
| CN108921313A (en) * | 2018-06-25 | 2018-11-30 | 珠海格力电器股份有限公司 | Intelligent booking method for meal, device and terminal device |
| CN109064286A (en) * | 2018-08-02 | 2018-12-21 | 青岛大学 | A kind of Shandong cuisine nutrition formula food-ordering device based on wechat platform |
| CN110135957A (en) * | 2019-05-20 | 2019-08-16 | 梁志鹏 | A kind of vegetable recommended method, device and the storage medium of intelligent restaurant healthy diet |
| CN110544160A (en) * | 2019-09-09 | 2019-12-06 | 中山职业技术学院 | Dish recommending method |
-
2020
- 2020-10-30 CN CN202011197099.0A patent/CN112288536A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108897768A (en) * | 2018-05-25 | 2018-11-27 | 北京三快在线科技有限公司 | A kind of method of ordering and device, electronic equipment |
| CN108921313A (en) * | 2018-06-25 | 2018-11-30 | 珠海格力电器股份有限公司 | Intelligent booking method for meal, device and terminal device |
| CN109064286A (en) * | 2018-08-02 | 2018-12-21 | 青岛大学 | A kind of Shandong cuisine nutrition formula food-ordering device based on wechat platform |
| CN110135957A (en) * | 2019-05-20 | 2019-08-16 | 梁志鹏 | A kind of vegetable recommended method, device and the storage medium of intelligent restaurant healthy diet |
| CN110544160A (en) * | 2019-09-09 | 2019-12-06 | 中山职业技术学院 | Dish recommending method |
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Effective date of registration: 20211025 Address after: 510700 501-2, Guangzheng science and Technology Industrial Park, No. 11, Nanyun 5th Road, Science City, Huangpu District, Guangzhou City, Guangdong Province Applicant after: GUANGZHOU FUGANG LIFE INTELLIGENT TECHNOLOGY Co.,Ltd. Address before: 510700 501-1, Guangzheng science and Technology Industrial Park, No. 11, Yunwu Road, Science City, Huangpu District, Guangzhou City, Guangdong Province Applicant before: GUANGZHOU FUGANG WANJIA INTELLIGENT TECHNOLOGY Co.,Ltd. |
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