CN117405117A - Urban vending navigation method based on self-service catering - Google Patents

Urban vending navigation method based on self-service catering Download PDF

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CN117405117A
CN117405117A CN202311337541.9A CN202311337541A CN117405117A CN 117405117 A CN117405117 A CN 117405117A CN 202311337541 A CN202311337541 A CN 202311337541A CN 117405117 A CN117405117 A CN 117405117A
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catering
user
meal
machine
order
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江正云
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Wisdom Ltd
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Wisdom Ltd
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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F17/00—Coin-freed apparatus for hiring articles; Coin-freed facilities or services
    • G07F17/0064—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for processing of food articles
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/20—Instruments for performing navigational calculations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • 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]
    • G06Q30/0639—Item locations
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F11/00—Coin-freed apparatus for dispensing, or the like, discrete articles
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F9/00—Details other than those peculiar to special kinds or types of apparatus
    • G07F9/002—Vending machines being part of a centrally controlled network of vending machines

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  • Engineering & Computer Science (AREA)
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  • Theoretical Computer Science (AREA)
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  • Business, Economics & Management (AREA)
  • Radar, Positioning & Navigation (AREA)
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  • General Business, Economics & Management (AREA)
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  • Economics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Development Economics (AREA)
  • Food Science & Technology (AREA)
  • Automation & Control Theory (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides a city vending navigation method based on self-service catering, which belongs to the field of intelligent meal processing and comprises the following steps: s1: mounting the codes and map addresses of each catering machine to obtain at least one coordinate of each catering machine; s2: searching and positioning selected catering machines through the terminal entering interface, wherein each catering machine at least comprises one food and synchronizes the food outlet time of the food; s3: the method has the advantages that the path time after positioning is calculated, the meal outlet type and the meal outlet time of the catering machine are changed through the booking mode, the arrival time of the user can be calculated by combining the moving route of the user, the waiting time of the user is reduced while the high-efficiency meal outlet of the catering machine is ensured by acquiring the requirement of the user in advance, and in order to ensure that booked catering is not wasted, the booked catering is checked, so that grains are effectively saved, and the environment is protected.

Description

Urban vending navigation method based on self-service catering
Technical Field
The specification relates to the field of intelligent meal processing, in particular to a city vending navigation method based on self-service catering.
Background
With the rapid development of the automation technology, in the face of the difficult problem that the labor cost is high, unmanned selling is the future development direction of most industries, and the small-book operating catering retail industry is especially the same, because the cooked wheaten food is a healthy and health-care food which is simple to manufacture, convenient to eat and rich in nutrition and can be eaten as a staple food or a snack, the food is favored by consumers, and in order to reduce the running and labor cost, improve the selling efficiency and the purchasing experience of the consumers, a plurality of vending machines special for the dinner are gradually developed in the market.
Chinese patent publication No. CN213909678U, publication day 2021, month 08, 10, entitled "food vending system", discloses a food vending system comprising: the conveying device is used for receiving the food material container and conveying the food material container to a preset station; the feeding device is used for adding food materials into the food material container on the feeding station; a cooking device for heating the food material container at a cooking station; the execution device is used for transferring the food material container among the stations; and the man-machine interaction module is used for realizing information interaction between an external operation instruction and the controller of the meal selling system, and the external operation instruction is used for triggering the controller of the meal selling system to transmit a corresponding cooking instruction to the feeding device, the cooking device and the executing device. The system is sold to meal of this scheme can replace the manual work to realize automatic meal preparation, can effectively promote the system dining efficiency, reduces the recruitment cost of enterprise.
The food vending machine can automatically process food, but a user cannot directly acquire information through an online platform, so that convenience is not realized, and along with the current common application of mobile phone apps, the food vending machine can be arranged on line for picking and choosing Chinese food in the whole city.
Therefore, it is necessary to provide a city vending machine navigation method based on self-service catering, which can count offline meal machines and present the statistics through a terminal platform, and can assist a user to navigate to the meal machines in combination with a map.
Disclosure of Invention
One of the embodiments of the present disclosure provides a city vending machine navigation method based on self-service dining, which not only can intuitively obtain the position of a dining machine in the whole city, assist a user to navigate to the position of the dining machine, but also can automatically calculate the arrival time of the user, provide ordered food, and reduce the waiting time of the user.
In some embodiments, a self-service catering-based city vending navigation method comprises the following steps:
s1: mounting the codes and map addresses of each catering machine to obtain at least one coordinate of each catering machine;
s2: searching and positioning selected catering machines through the terminal entering interface, wherein each catering machine at least comprises one food and synchronizes the food outlet time of the food;
s3: calculating the path time after positioning, and changing the meal-out type and the meal-out time of the catering machine through a reservation mode.
Further, in the step S1, the terminal is used to enter a catering map, wherein the catering map is clicked to link to a city map, and the icon and the position of the catering machine are displayed in the city map through a prestored integrated program of coding addresses.
Further, in the step S2, the route and the traffic mode of the catering machine are obtained by clicking the icon on the terminal, the production time and the production type are displayed on the catering machine, the terminal comprises a user login module, a user catering selection interface and a map search interface, and the user login module comprises user identity information input, user dining records and user dining integral accumulation.
Further, the step S3 further includes the following steps:
s31: determining the time for reaching the restaurant by combining the path selection between the user and the restaurant, the selection of the traffic mode and the selection of the departure time;
s32: the user confirms the ordering type and the meal taking time through ordering the ordering mode;
s33: when the user takes a meal, the points of the order are accumulated.
Further, in the step S32, the booking mode includes determining a first weight value α of the user by retrieving the order records and the credit records of the user, determining a second weight value β based on the path of the user, and determining a third weight γ based on the number of catering machines in the area, so as to obtain a behavioral booking rate δ of the user:
δ＝αy 1 +βy 2 +γy 3
Y＝y 1 +y 2 +y 3
wherein y is 1 For the quantitative value of the food in the order, y 2 For the distance score of the user and the catering machine in the order, y 3 Selectable scores for users in the order, where y 1 、y 2 、y 3 The total score of the order is the same, the score is determined according to the actual conditions of the user and the order, Y is the behavior score of the user, the full score of the behavior score is three times of the total score, C is the actual reservation condition of the order,for the standard reservation conditions of the order, ρ is the actual credit the user took after the meal for the order, +.>Is the original point for the order.
Further, in the step S32, the reservation condition is that the user pays the deposit or the points are sealed in advance, and the corresponding deduction payment is performed through the sealed points or deposit before taking the meal.
Further, in the step S32, the third weight γ is determined based on the number of catering machines in the area, where the area includes unit areas divided according to streets in the urban map, and the γ value is determined according to the number of catering machines set in the unit areas.
Further, the restaurant comprises an integrated manufacturing and packaging system, wherein the restaurant further comprises a heat preservation bin and a refrigeration bin, the heat preservation bin and the refrigeration bin are applied to the verification meal taking bin, and a user opens a bin door of the verification meal taking bin through password verification and code scanning verification.
The beneficial effects of the invention are as follows:
1. the vending information and the position of the urban Chinese meal machine can be comprehensively acquired, and visual navigation to the meal machine can be realized;
2. the method and the system can calculate the arrival time of the user by combining the moving route of the user, acquire the requirement of the user in advance, reduce the waiting time of the user while ensuring the efficient meal delivery of the meal machine, and audit the reserved food in order to ensure that the reserved food is not wasted, thereby effectively saving food and protecting the environment.
Drawings
The present specification will be further elucidated by way of example embodiments, which will be described in detail by means of the accompanying drawings. The embodiments are not limiting, in which like numerals represent like structures, wherein:
FIG. 1 is a schematic illustration of the principles of operation shown in accordance with some embodiments of the present description;
FIG. 2 is a schematic diagram of an online platform interface according to some embodiments of the present description.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present specification, the drawings that are required to be used in the description of the embodiments will be briefly described below. It is apparent that the drawings in the following description are only some examples or embodiments of the present specification, and it is possible for those of ordinary skill in the art to apply the present specification to other similar situations according to the drawings without inventive effort. Unless otherwise apparent from the context of the language or otherwise specified, like reference numerals in the figures refer to like structures or operations.
It will be appreciated that "system," "apparatus," "unit" and/or "module" as used herein is one method for distinguishing between different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.
As used in this specification and the claims, the terms "a," "an," "the," and/or "the" are not specific to a singular, but may include a plurality, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that the steps and elements are explicitly identified, and they do not constitute an exclusive list, as other steps or elements may be included in a method or apparatus.
A flowchart is used in this specification to describe the operations performed by the system according to embodiments of the present specification. It should be appreciated that the preceding or following operations are not necessarily performed in order precisely. Rather, the steps may be processed in reverse order or simultaneously. Also, other operations may be added to or removed from these processes.
Example 1:
the embodiment aims to build an on-line platform for users to select a restaurant machine at the nearest position, and comprises the following steps:
s1: mounting the codes and map addresses of each catering machine to obtain at least one coordinate of each catering machine; s2: searching and positioning selected catering machines through the terminal entering interface, wherein each catering machine at least comprises one food and synchronizes the food outlet time of the food;
s3: calculating the path time after positioning, and changing the meal-out type and the meal-out time of the catering machine through a reservation mode.
It should be noted that, before the WeChat applet is created, some data and account numbers are prepared, the WeChat public platform applies for public numbers, and the WeChat developer tool platform is utilized to build the applet, wherein basic development knowledge including HTML, CSS, javaScript is needed to be known, after the WeChat developer tool is opened, the applet is needed to be newly built, basic information such as applet names are filled, and then the applet can be quickly built by using templates in the system.
It should be noted that, the applet in this embodiment is further linked with a map module, including a Goldmap, a Baidu map, etc. in the existing APP, please refer to fig. 1, the user logs in the interface, and pops up a plurality of catering machines in the area through inputting the to-be-purchased catering keywords, wherein the sorting principle of the plurality of catering machines in the interface includes, but is not limited to, the priority of the latest distance, the priority of the keyword contact ratio, the priority of the table machine with history purchase record, etc.
In the step S1, a catering map is further entered through a terminal, wherein the catering map is clicked to link to a city map, icons and positions of catering machines appear in the city map through a prestored coding address integrated program, the icons can be customized according to the types of the catering machines, including but not limited to breakfast icons, stir-frying icons, drink icons, wheaten food icons and the like, and the corresponding icons can be set according to names of the dinner products.
In this embodiment, the map also includes multiple modes, including a satellite mode, a two-dimensional plane mode and a three-dimensional street stereo mode, and a user can select the modes to navigate according to requirements, where the navigation modes include walking, driving, public transportation/subway, riding, and other modes, the background calculates the total time spent by the path through the navigation modes and distances selected by the user, the calculation modes include, by default, dividing the average speed of each navigation mode by the total path distance to obtain the total time, where the average speed is further related to a weather state, and when severe weather occurs, performing down-regulation calculation on the average speed of each navigation mode.
Example 2:
considering that the number of the food manufactured by each round of the dining machine is limited and the time period is long, it is important to grasp each order, after the on-line path query platform is opened in the embodiment 1, the on-line food ordering module is further opened, the food of the dining machine is ordered in advance in a reservation mode, on one hand, the user can get the food directly after arriving, on the other hand, the food outlet speed, the heat preservation time and the like of the dining machine can be adjusted, the selling speed of the food is improved, measures such as deduction and money deduction are carried out aiming at the fact that the user reserves but does not pick the food overtime, and the food is allocated to the user needing the food, so that the waste of food resources is avoided.
It should be noted that the step S3 further includes the following steps:
s31: determining the time for reaching the restaurant by combining the path selection between the user and the restaurant, the selection of the traffic mode and the selection of the departure time;
s32: the user confirms the ordering type and the meal taking time through ordering the ordering mode;
s33: when the user takes a meal, the point accumulation of the order is performed
In the step S32, the booking mode includes determining a first weight value α of the user by retrieving the order records and the credit records of the user, determining a second weight value β based on the path of the user, and determining a third weight γ based on the number of catering machines in the area, so as to obtain a behavior ordering rate δ of the user:
δ＝αy 1 +βy 2 +γy 3
Y＝y 1 +y 2 +y 3
wherein y is 1 For the quantitative value of the food in the order, y 2 For the distance score of the user and the catering machine in the order, y 3 Selectable scores for users in the order, where y 1 、y 2 、y 3 The total score of the order is the same, the score is determined according to the actual conditions of the user and the order, Y is the behavior score of the user, the full score of the behavior score is three times of the total score, C is the actual reservation condition of the order,for the standard reservation conditions of the order, ρ is the actual credit the user took after the meal for the order, +.>For the orderIs a raw integral of (a).
The first weight value, the second weight value and the third weight value are all set according to specific areas and meal types, the three weights are all scores which are larger than 0 and smaller than 1, the size relation among alpha, beta and gamma is alpha < beta < gamma, the total score in three directions is determined through the behavior score Y of a user, delta is 100%/100 to obtain a final subscription rate, the actual subscription condition of an order of the user is obtained according to the subscription rate of each user, for example, the standard subscription condition for subscribing a breakfast is 10 yuan, the subscription rate is 30% after the three weights of the user are obtained, the user needs to pay 33.3 points to subscribe the breakfast, the higher the subscription rate of the user is, the less the required payment points are, and the more the required payment points are.
When the user subscribes to the dinner and takes the dinner without paying in the appointed time, the deduction is carried out to remove the dinner, so that the repeated waste of the dinner resources by the user is avoided, and the meal outlet efficiency of the dinner machine is influenced.
It is noted that, after the user performs identity verification after logging in the platform, after obtaining a unique specific identity, the user can make a list and integrate, wherein the list includes pre-booking and real-time list making of the selected meal, the pre-booking sets the meal taking time by itself, the default is generally the path arrival time selected, the real-time list making includes direct payment and real-time meal taking, the background can preferably allocate the meal outlet sequence of the meal according to the meal taking time, the background allocates the meal taking codes to the user of the list, allocates the meal taking codes according to the meal taking time sequence, and the user verifies the meal acquisition sequence through the meal taking codes.
In order to ensure the maximum procedure of taking the meal, risk control is performed on the user who subscribes to the meal, and when the user gives up the subscribed meal due to other factors such as distance reasons, the meal will be distributed to the next single user according to the time sequence, and the risk calculation value about the user is obtained according to the calculation formula, and the workflow in this embodiment is as follows: when a user makes a long-distance online meal reservation, the time for the user to arrive at the meal machine is calculated according to a path, and a meal taking code of the time is sent after the user succeeds in a certain payment mode, wherein the payment mode adopts a point deduction or order deduction mode, the quantity of deductions/deductions depends on three factors, the first factor is the path distance of the user, the second factor is the history record of the user in the ordering mode, whether the user finishes taking the ordered meal every time, whether orders for giving up the meal for multiple times appear, the third factor is the quantity of the meal for single reservation, the quantity of the single ordered meal can directly influence the user for on-site real-time ordering, and the fact that the quantity of one round of meal is limited is considered, so that the user should be discharged as soon as possible when the order is overtime or cancelled.
It is worth noting that from the perspective of quick production of the meal machine, more meal products can be sold through an online order reservation mode, the meal products can be manufactured in advance according to online orders, and the meal products can be manufactured in advance according to the off-line peak time.
It should be noted that, for the most widely used meal machine at present, for example, a breakfast machine is integrated with soybean milk, laver egg soup, corn juice, mung bean porridge, eight-treasure porridge and the like, in order to ensure the taste of each meal and improve the processing efficiency, separate heating equipment and heat preservation equipment are configured in the breakfast machine, so that the manufacturing time of each meal is different, the manufacturing period of each round of the soybean milk machine, the laver egg soup and the corn juice is 30 minutes, the manufacturing period of the mung bean porridge is 45 minutes, the manufacturing period of the eight-treasure porridge is 1 hour, wherein the number of manufacturing cups/bowl of each round of each meal is 6 cups of soybean milk, 6 bowls of laver egg soup, 6 bowls of mung bean porridge, 10 bowls of eight-treasure porridge, and 10 bowls of eight-treasure porridge.
It is worth to say that, through online reservation mode, the dining machine is through software automatic control, processes the dining of corresponding share, for example only results 2 soybean milk orders between 1 point to 3 points, and the time of separating is shorter, then breakfast machine passes through the backstage and monitors the beans of storage device release 2 soybean milk after order time, drives the heating machine and carries out the heating of 2 soybean milk water yield, finally obtains 2 soybean milk, realizes intelligent dining equipment's dynamic control and short-term control.
It should be noted that, in addition to on-line order monitoring, the monitoring device including a camera and other devices is further provided on the meal machine, so that the manufacturing period of the meal machine is effectively controlled by shooting the number of queuing before the meal machine, for example, when the number of queuing people before the meal machine is found after shooting, the sleep gap of the processing machine is shortened, after the last round of meal processing is completed, the processed meal is placed in the heat preservation device, the stand-up horse starts the next round of meal manufacturing, and it is ensured that after the first round of meal is sold, the user can continue to purchase the second round of meal with least time waiting.
It is worth to say that, in summary, when the user finds that the breakfast machine number 1 is still performing meal processing, the user can check the time required for making the next round of meal through the online platform, and also can check the waiting time and the path for making the breakfast machine number 2, and for large-scale areas such as business comprehensive areas, residential communities, office areas, scenic spots, airports, subways and square areas, a plurality of catering machines operate together, the user can select the meal by himself according to the time for obtaining the meal, and perform corresponding online reservation and offline queuing to obtain the corresponding meal taking code.
Notably, the online booking mode, the jump map window, etc. may be integrated into the dining machine unmanned vending business APP.
Notably, S1: downloading an unmanned sales business APP of an unmanned on-site meal making machine for intelligent automatic driving when a customer needs to purchase an unmanned on-site meal making, and registering;
s2: after registering, opening the names of the dishes in the APP, calculating the price by taking the bowls as units, and automatically clicking at least one bowl of dishes in the APP by a client, wherein after a plurality of dishes or one variety of dishes can be carried out according to the names and the names of the dishes according to the requirements, the accumulated amount can be achieved by clicking confirmation;
s3: the client mobile phone automatically counts the current amount and the money or the background server sends the counted money to the background server according to the counted amount information of the client click amount, the background server sends the counted money to the client for confirmation, the click payment is successful, and the client payment can adopt bound WeChat, payment bank card or APP wallet;
s24: the background server receives the order content of the client meal, wherein the order content comprises the name, the number and the price of the meal, the background server issues or automatically runs the on-site production of the soup and beverage, the on-site command is received by the on-site command control module of the unmanned soup and beverage selling business, and the on-site command is sent to the production module to start the production of the meal.
It is worth to say that the automatic making and packaging comprises the following steps: s31: discharging a main material;
s32: breaking wall and stirring;
s33: charging and manufacturing;
s34: boiling and packaging, and attaching corresponding meal taking codes.
The following is an example of a soup dispenser:
s41: notifying a purchasing customer to take food from a soup taking window after soup in the steaming lattice is cooked, and transferring a soup pot corresponding to the soup of the purchasing customer to the soup taking window;
s42: the customer displays the payment certificate of the soup to the display screen of the soup taking window, the soup taking window is automatically opened after the corresponding certificate is read by the vending car, and the corresponding soup is grasped by the mechanical arm and put into the packaging box;
s43: the soup purchasing customers remove the soup purchased by the customers and leave the soup purchasing customers, and the soup taking window is automatically closed.
In S41, the user firstly acquires the meal taking code, and then pays through the meal taking code to acquire a payment certificate.
It should be noted that the subscription deduction mode is provided for illustrative purposes only and is not intended to limit the scope of the present description. Many modifications and variations will be apparent to those of ordinary skill in the art in light of the present description. Such as a first weight, a second weight, and a third weight. However, such changes and modifications do not depart from the scope of the present specification.
While the basic concepts have been described above, it will be apparent to those skilled in the art that the foregoing detailed disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements, and adaptations to the present disclosure may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within this specification, and therefore, such modifications, improvements, and modifications are intended to be included within the spirit and scope of the exemplary embodiments of the present invention.
Meanwhile, the specification uses specific words to describe the embodiments of the specification. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic is associated with at least one embodiment of the present description. Thus, it should be emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various positions in this specification are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the present description may be combined as suitable.
Furthermore, the order in which the elements and sequences are processed, the use of numerical letters, or other designations in the description are not intended to limit the order in which the processes and methods of the description are performed unless explicitly recited in the claims. While certain presently useful inventive embodiments have been discussed in the foregoing disclosure, by way of various examples, it is to be understood that such details are merely illustrative and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements included within the spirit and scope of the embodiments of the present disclosure. For example, while the system components described above may be implemented by hardware devices, they may also be implemented solely by software solutions, such as installing the described system on an existing server or mobile device.
Likewise, it should be noted that in order to simplify the presentation disclosed in this specification and thereby aid in understanding one or more inventive embodiments, various features are sometimes grouped together in a single embodiment, figure, or description thereof. This method of disclosure, however, is not intended to imply that more features than are presented in the claims are required for the present description. Indeed, less than all of the features of a single embodiment disclosed above.
Finally, it should be understood that the embodiments described in this specification are merely illustrative of the principles of the embodiments of this specification. Other variations are possible within the scope of this description. Thus, by way of example, and not limitation, alternative configurations of embodiments of the present specification may be considered as consistent with the teachings of the present specification. Accordingly, the embodiments of the present specification are not limited to only the embodiments explicitly described and depicted in the present specification.

Claims (8)

1. The city vending navigation method based on the self-service catering is characterized by comprising the following steps of:
s1: mounting the codes and map addresses of each catering machine to obtain at least one coordinate of each catering machine;
s2: searching and positioning selected catering machines through the terminal entering interface, wherein each catering machine at least comprises one food and synchronizes the food outlet time of the food;
s3: calculating the path time after positioning, and changing the meal-out type and the meal-out time of the catering machine through a reservation mode.
2. The self-service catering-based city vending navigation method of claim 1, wherein in the step S1, a catering map is entered through a terminal, wherein the catering map is clicked to link to the city map, and the icon and the position of the catering machine appear in the city map through a prestored coding address integrated program.
3. The city vending machine navigation method based on self-service dining of claim 2, wherein in the step S2, the route and the traffic mode of the catering machine are obtained by clicking the icon on the terminal, the production time and the production type are displayed on the catering machine, the terminal comprises a user login module, a user dining selection interface and a map search interface, and the user login module comprises user identity information input, user dining records and user dining integral accumulation.
4. The city vending machine navigation method based on the buffet diet of claim 3, wherein the step S3 further comprises the following steps:
s31: determining the time for reaching the restaurant by combining the path selection between the user and the restaurant, the selection of the traffic mode and the selection of the departure time;
s32: the user confirms the ordering type and the meal taking time through ordering the ordering mode;
s33: when the user takes a meal, the points of the order are accumulated.
5. The method for navigating city traffic based on buffet dining according to claim 4, wherein in step S32, the booking model comprises determining a first weight value α of the user by retrieving the order record and the credit record of the user, determining a second weight value β based on the path of the user, determining a third weight γ based on the number of catering machines in the area, and obtaining a behavior booking rate δ of the user:
δ＝αy 1 +βy 2 +γy 3
Y＝y 1 +y 2 +y 3
wherein y is 1 For the quantitative value of the food in the order, y 2 For the distance score of the user and the catering machine in the order, y 3 Selectable scores for users in the order, where y 1 、y 2 、y 3 The total score of the order is the same, the score is determined according to the actual conditions of the user and the order, Y is the behavior score of the user, the full score of the behavior score is three times of the total score, C is the actual reservation condition of the order,for the standard reservation conditions of the order, ρ is the actual credit the user took after the meal for the order, +.>Is the original point for the order.
6. The city vending machine navigation method based on the buffet diet of claim 5, wherein in the step S32, the reservation condition is that the user pays deposit or points are sealed in advance, and the corresponding deduction payment is performed through the sealed points or deposit before taking the meal.
7. The self-service catering-based city vending navigation method of claim 6, wherein in the step S32, the third weight γ is determined based on the number of catering machines in an area, the area includes unit areas divided by streets in the city map, and the γ value is determined according to the number of catering machines set in the unit areas.
8. The city vending machine navigation method based on self-service catering of claim 7, wherein the catering machine comprises an integrated manufacturing and packaging system, wherein the catering machine further comprises a heat preservation bin and a refrigeration bin, the heat preservation bin and the refrigeration bin are applied to a verification meal taking bin, and a user opens a bin door of the verification meal taking bin through password verification and code scanning verification.
CN202311337541.9A 2023-10-16 2023-10-16 Urban vending navigation method based on self-service catering Pending CN117405117A (en)

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