WO2019023936A1

WO2019023936A1 - System for self-service meal ordering in hotel

Info

Publication number: WO2019023936A1
Application number: PCT/CN2017/095465
Authority: WO
Inventors: 曾福庆
Original assignee: 深圳市益廷科技有限公司
Priority date: 2017-08-01
Filing date: 2017-08-01
Publication date: 2019-02-07

Abstract

Disclosed is a system for self-service meal ordering in a hotel. The system comprises: a detection module (201) for detecting whether a guest enters a cafeteria; an identity recognition module (202) for performing identity recognition on the guest and acquiring identity information about the guest; a habit information acquisition module (203) for acquiring habit information corresponding to the identity information; a guide module (204) for guiding, according to the habit information, the guest to a matching dining table; a dining chair (205) for detecting a weight parameter, a heart rate parameter, a fat parameter, a blood pressure parameter and a water content parameter of the guest; a health analysis module (206) for acquiring health data of the guest and analysing the health condition; and a dish ordering module (208) for displaying a matching recommendation menu for a user to make a selection, further for acquiring a visual focus of the guest, and acquiring and displaying dish information matching the visual focus, and further for acquiring a dish ordering instruction input by the guest, and displaying a to-be-paid dish list and a total to-be-paid dish price.

Description

Hotel self-service ordering system

Technical field

The invention relates to the technical field of a la carte, in particular to a hotel self-service ordering system.

Background technique

At present, the hotel's dining a la carte transaction is done manually by the waiter. The whole service process is cumbersome, very inconvenient, the customer experience is very poor, and the maintenance cost is huge.

Summary of the invention

In view of the above, it is necessary to propose a hotel self-service ordering system to improve the efficiency of hotel customers ordering.

In order to achieve the above object, the present invention provides

The invention detects whether a customer enters the cafeteria, and if so, identifies the customer, obtains the identity information of the customer, acquires the habit information corresponding to the identity information, and guides the client to go to the office according to the custom information. a dining table matching the identity information and the custom information, obtaining the health data of the customer, displaying a recommendation menu matching the identity information, the habit information, and the health analysis result in the display on the dining table for the user to select; obtaining the visual of the customer Focusing on obtaining the dish information of the dish matching the visual focus, displaying the dish information in the display on the table, obtaining the order order input by the customer, obtaining a payment instruction input by the customer, and detecting whether the payment is completed, If yes, replacing the to-be-paid label of the dish in the menu to be paid with the paid label, and generating a list of paid dishes, and sending the corresponding dish to the table where the customer is located according to the list of paid dishes, greatly improving The efficiency of customers ordering at the hotel.

DRAWINGS

1 is a schematic flow chart of a self-service meal ordering method of a hotel according to Embodiment 1 of the present invention;

FIG. 2 is a schematic structural diagram of a hotel self-service ordering system according to a second embodiment of the present invention.

Detailed ways

The present invention will be further described in detail below with reference to the drawings and specific embodiments. It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict.

In the following description, numerous specific details are set forth in order to provide a full understanding of the present invention. The described embodiments are only a part of the embodiments of the invention, but not all of the embodiments, and the invention may also employ other The manner in which the present invention is implemented is not limited to the specific embodiments disclosed below. The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention. All technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, unless otherwise defined. The terminology used in the description of the present invention is for the purpose of describing particular embodiments and is not intended to limit the invention.

FIG. 1 is a schematic flowchart of a method for self-service ordering of a hotel according to Embodiment 1 of the present invention. As shown in FIG. 1, the method specifically includes the following steps:

101: Detect whether a customer enters the cafeteria;

Detecting whether a customer enters the cafeteria, and if so, executing step 102;

For example, it is possible to detect whether a customer enters the cafeteria through an infrared sensor provided at the entrance of the cafeteria; or by detecting whether the cafeteria door is opened, and if so, judging that the customer has entered; or, when the cafeteria door is a revolving door, If it is detected that the revolving door is in a rotating state, it is judged that the customer enters the cafeteria; or, by the camera set at the entrance of the cafeteria, image recognition is performed to determine whether the customer enters the cafeteria; or, by setting a pressure sensor at the ground of the cafeteria or The vibration sensor detects whether a customer enters the cafeteria, and if the pressure detected by the pressure sensor exceeds a preset value or the vibration value detected by the vibration sensor exceeds a preset vibration value, it is determined that the customer enters the cafeteria.

102: Identify the customer;

Obtaining identity information of the customer, where the identity information includes the customer's identification code, the nationality of the customer, the origin of the customer, and the payment account information preset by the customer;

For example, the camera information, the iris information, and the quantity information of the customer entering the cafeteria are detected by the camera set at the cafeteria to obtain the pre-stored identity information of the corresponding customer, for example, by the camera, one customer enters the cafeteria, the camera Confirming the identity information of the customer by face scanning recognition or iris recognition; for example, detecting the fingerprint information of the customer by using a fingerprint detector set on the cafeteria door button or a fingerprint detector set on the handrail of the cafeteria door Corresponding customer identity information, when the customer presses the cafeteria button with the finger or the customer holds the handrail on the cafeteria door, it is detected by the fingerprint detector set on the cafeteria button or the fingerprint detector set on the handrail of the cafeteria door. The customer's fingerprint information is used to obtain corresponding customer identity information. The button may be a cafeteria password input button, or may be other buttons set by the cafeteria. For example, the camera may obtain the gesture information of the client or obtain the gesture information of the client through the touch panel of the cafeteria to obtain corresponding identity information, such as the identity of the preset client A. The recognition gesture is to the right, and the identification gesture corresponding to the customer B is downward. Then, when the customer enters the cafeteria, the hand is swiped down in the air, and the camera captures the gesture and recognizes the customer as the customer B. Or a customer can swipe right on the touchpad on the cafeteria and then identify the customer as a customer. In addition, the identity card information carried by the client can be read by the radio frequency card reader to obtain the corresponding identity information; optionally, the information of the current account of the cafeteria access can be unlocked to obtain the corresponding information. The identity information of the customer, for example, the customer A uses the cafeteria software on the mobile phone to log in to his account, and uses the cafeteria software to unlock the cafeteria access control, then, the account included in the account can be unlocked by the unlocking software in the cafeteria. Information to obtain the identity information of A. The identity information includes a customer's identification code, the customer's nationality, the customer's hometown, and the customer's preset payment account information. The identification code can prove who the customer is. The identification code includes the identity card number and the passport. One or more of a number, a driver's license number, a social security number, and a customer's membership number in the hotel;

103: Acquire custom information corresponding to the identity information;

The habit information includes the customer history a la carte list information, the purchase history information of the customer history purchase product, the customer history purchase item information and the purchase times corresponding to the current time period, the snacks that the customer likes to eat, and the customer's meal. One or more kinds of information in the location that you like to do; for example, the habit information of the customer matching the identity information can be obtained from a database of the preset server.

104: Guide the customer;

And guiding the client to the dining table matching the identity information and the custom information according to the custom information; for example, according to the identity information, if the client is an Islamist, the table is arranged away from the pork barbecue area; For another example, according to the identity information, the customer is an American, Usually the steak is guided to the western food area; the guidance can be led by the robot or the drone in front of the customer, or the customer can be routed through the display device set on the wall or the ground in the cafeteria. Guide instructions.

105: Acquire customer's health data; detect whether the customer is seated on the dining chair at the dining table, and if so, weigh the customer's weight parameter through the weight scale set on the dining chair, and pass the heart rate monitor set on the handrail of the dining chair The fat detector, the blood pressure detector, and the human body moisture content detector respectively detect the heart rate parameter, the fat parameter, the blood pressure parameter, and the moisture content parameter of the customer; and obtain the health data of the customer, wherein the health data includes the weight parameter, the heart rate parameter, Fat parameters, blood pressure parameters, moisture content; optional, first obtain the position of the different customers at the table through the camera set on the table, and then match the corresponding dining chair at the position according to the position of different customers at the table The weight parameter obtained by the weight scale is used as the weight parameter of the corresponding customer; the heart rate monitor, the fat detector, the blood pressure detector, the human body moisture content detection on the handrail of the corresponding dining chair are matched according to the position of the different customers at the dining table. Heart rate parameters, fat parameters, blood pressure parameters, moisture content parameters obtained by the instrument Heart rate parameters corresponding client, the parameters fat, blood pressure parameters, the moisture content parameters.

For example, the health data includes a customer's weight parameter, a heart rate parameter, a fat parameter, a blood pressure parameter, and a moisture content parameter; and the gravity sensor detection on the camera or the dining chair determines whether the customer sits on the dining chair, and if so, passes the dining chair. The weight scale set on the weighing machine measures the weight parameter of the customer, and the heart rate monitor, the fat detector, the blood pressure detector and the human body moisture content detector set on the armrest of the dining chair respectively detect the heart rate parameter, the fat parameter, the blood pressure parameter and the moisture of the customer. Content parameter; obtaining health data of the customer, the health data including the weight parameter, heart rate parameter, fat parameter, blood pressure parameter, moisture content; optionally, multiple meals sitting around the same table for multiple customers In the chair, first obtain the position of the customer at the table by the camera or fingerprint sensor, for example, to set the left For example, in the dining table of the two dining chairs, there is a camera in front of each dining chair, and the identity information of the client on the dining chair is obtained by facial recognition or iris recognition, thereby determining which one is on each dining chair. The customer obtains the position of the customer at the table; or obtains the fingerprint data of the customer on the dining chair through the fingerprint sensor on the armrest of the dining chair, thereby further obtaining the identity data corresponding to the fingerprint data, and obtaining the customer from The location at the dining table. And matching the weight parameter obtained by the corresponding weight scale at the position according to the position as a weight parameter of the corresponding customer; matching the heart rate monitor, the fat detector, the blood pressure detector, the corresponding heart rate monitor according to the position, The heart rate parameter, the fat parameter, the blood pressure parameter, and the moisture content parameter obtained by the human body moisture content detector are used as the heart rate parameter, the fat parameter, the blood pressure parameter, and the moisture content parameter of the corresponding customer, so as to avoid confusion of health data of different customers, and Ability to quickly differentiate health data from different customers.

106: analysis of health status;

For example, the health data includes a customer's weight parameter, a heart rate parameter, a fat parameter, a blood pressure parameter, and a moisture content parameter; and the gravity sensor detection on the camera or the dining chair determines whether the customer sits on the dining chair, and if so, passes the dining chair. The weight scale set on the weighing machine measures the weight parameter of the customer, and the heart rate monitor, the fat detector, the blood pressure detector and the human body moisture content detector set on the armrest of the dining chair respectively detect the heart rate parameter, the fat parameter, the blood pressure parameter and the moisture of the customer. Content parameter; obtaining health data of the customer, the health data including the weight parameter, heart rate parameter, fat parameter, blood pressure parameter, moisture content; optionally, multiple meals sitting around the same table for multiple customers In the chair, the camera or fingerprint sensor is used to obtain the position of the customer at different positions by the camera. For example, a table with two left and right dining chairs is taken as an example. Each camera has a camera in front of the dining chair. The client on the chair performs facial recognition or iris recognition to obtain their identity information to determine each meal. On which customers, the customers get a position next to the table; or by the chair armrest fingerprint sensor The fingerprint data of the customer on the dining chair is obtained, thereby further obtaining the identity data corresponding to the fingerprint data, and obtaining the location of the customer at the table. And matching the weight parameter obtained by the corresponding weight scale at the position according to the position as a weight parameter of the corresponding customer; matching the heart rate monitor, the fat detector, the blood pressure detector, the corresponding heart rate monitor according to the position, The heart rate parameter, the fat parameter, the blood pressure parameter, and the moisture content parameter obtained by the human body moisture content detector are used as the heart rate parameter, the fat parameter, the blood pressure parameter, and the moisture content parameter of the corresponding customer, so as to avoid confusion of health data of different customers, and Ability to quickly differentiate health data from different customers. If the health condition analysis result shows abnormal health data, the voice or visual prompt is provided through the display set on the dining table, the corresponding reminding information is sent to the social software account of the corresponding customer, and one of the corresponding reminding information is sent to the mobile phone of the corresponding customer. One or more ways to notify the corresponding customer to pay attention to health abnormalities;

107: recommending a menu; displaying a recommendation menu matching the identity information, the habit information, and the health analysis result in the display on the dining table for the user to select;

For example, according to the identity information of the customer A, the customer is a Muslim, often ordering amaranth, and the list of the amaranth dishes containing the pork-ingredients is recommended as a recommended menu; for example, according to the custom information of the customer B, B. When ordering some light vegetables frequently in the current time period, the vegetable menu list is recommended as a recommended menu to B; for example, if the health analysis result of customer C shows high cholesterol content, or has high blood pressure, vegetables and fruits are recommended. The class or light dish is given to C, and the recommended menu is displayed on the display of the dining table. Optionally, the order of the dishes in the recommended menu may be sorted and displayed according to the identity information, the habit information, and the health analysis result of the customer. For example, if the customer is an American, the hamburger and the western food are preferentially displayed; for example, the customer If the patient is hypertensive, the high-calorie and high-fat dishes will be displayed at the end of the recommended menu. The recommended menu will give priority to the dishes of light, fruit, low-oil and low-fat; for example, prioritize the dishes that customers often order. Convenient Quick selection.

108: Obtain the visual focus of the customer;

Obtain the visual focus of the customer, for example, by taking the camera set at the table to obtain the orientation of the customer's pupil as the visual focus of the customer.

109: Acquire and display the dish information of the dish that matches the visual focus;

Obtaining dish information of the dish matching the visual focus, the dish information including dish ingredient information, dish price information, dish calorie information, dish contraindication information, displaying the display in a display on the table Dishes information;

For example, a cue point image corresponding to the visual focus is displayed in the display, and when the cue point image coincides with the dish image, the dish information of the dish corresponding to the dish image is acquired; the dish information includes a dish component Information, dish price information, dish calorie information, dish contraindication information, displaying the dish information in the display; optionally, highlighting the taboo information of the dish according to the health condition analysis result of the customer, for example The words "This dish is not suitable for people with high blood pressure" are displayed.

Step 110: Obtain a la carte instruction input by the customer, add a to-be-paid label to the dish corresponding to the dish instruction, and display it. Obtaining a la carte instruction input by the customer, adding a to-be-paid label to the dish corresponding to the ordering instruction, displaying a list of items to be paid and a total price of the item to be paid for the dish containing the label to be paid on the display on the table; Alternatively, the preset a la carte action input by the customer is obtained through the camera set on the dining table; or the time when the visual focus of the customer stays at the first dish is obtained by the camera set on the dining table, if the time exceeds the preset value, It is determined that the customer has input a la carte order for the first dish.

For example, by detecting the customer's visual focus that the customer is currently staring at the pickled fish in the menu, the pickled vegetables are displayed. Fish food information, the customer inputs a preset voice order instruction, for example, the customer says "put a la carte", then add a virtual to-be-paid label for the pickled fish, and put the pickled fish information with the to-be-paid label into the to-be-paid a list of dishes, calculating a total price of the dishes in the current list of items to be paid, displaying a list of items to be paid and a total price of the items to be paid on the display on the table; optionally, the obtaining the order of the order input by the customer includes: The preset a la carte action input by the customer is obtained by the camera on the dining table; for example, the customer's preset a la carte action is a thumbs up, and the camera detects the customer when it detects that the dish corresponding to the customer's visual focus is a box of chocolates. With a thumbs up, add a virtual to-be-paid label for the box of chocolates, and put the chocolate information with the label to be paid into the list of items to be paid, calculate the total price of the items in the list of items to be paid, and display them on the display. The list of items to be paid and the total price of the items to be paid; for example, the customer's preset ordering action is to nod two consecutively within the preset time. For example, if you nod your head twice in 2 seconds, when the camera detects that the dish corresponding to the customer's visual focus is a can of milk, the camera detects that the customer nods twice in 2 seconds, then adds a virtual to-be-paid label to the can of milk. And putting the milk information with the to-be-paid label into the list of items to be paid, calculating the total price of the dishes in the current list of items to be paid, displaying the list of items to be paid and the total price of the items to be paid in the lower right corner of the display area of the display; The a la carte action may also be continuous blinking 3 times within a preset time. When the customer's visual focus corresponds to a roast chicken, the camera detects that the customer's eyes have smashed 3 times in 2 seconds, then The roast chicken adds a virtual to-be-paid label, and puts the roast chicken with the to-be-paid label into the list of items to be paid, calculates the total price of the dishes in the current list of items to be paid, and displays it in the display; for example, the a la carte action is also It may be that the visual focus stays in a certain dish for more than a preset time value, for example, after detecting that the food corresponding to the customer's visual focus is a box of eggs, check After detecting that the customer's visual focus stays on the box of eggs exceeds a preset value, for example, 2 seconds, a virtual to-be-paid label is added to the box of eggs, and the box of eggs with the label to be paid is put into the list of items to be paid. , the calculation is currently pending The total price of the dishes in the list of dishes is displayed in the lower right corner of the display area in a transparent manner to display the list of items to be paid and the total price of the items to be paid.

Step 111: Obtain a payment instruction input by the customer; obtain a payment instruction input by the customer, perform an automatic payment operation according to the payment account information, the list of the to-be-paid items, and the total price of the item to be paid; and check whether the payment is completed, and if yes, The to-be-paid label of the dish in the payment list is replaced with the paid label, and a list of the paid items is generated;

For example, performing an automatic payment operation according to the payment account information, the list of to-be-paid items, and the total price of the items to be paid; detecting whether the payment is completed, for example, detecting whether the payment is successfully made from the payment account, and if so, the payment is to be made. The to-be-paid label of the dish in the menu list is replaced with the paid label and a list of paid dishes is generated;

Optionally, after the generated list of paid foods is generated, the customer identity information, the paid food list, and the paid food list generation time are uploaded to a preset server database, so as to be used for subsequent analysis of customer habit information.

112: Distributing the dish; sending the corresponding dish to the table where the customer is located according to the paid list of dishes; optionally, before sending the corresponding dish according to the list of the paid items to the table where the customer is located, The method includes: distributing the snacks that the customer likes to the dining table where the customer is located according to the custom information.

For example, the customer is displayed with the list of the paid food items, and the two methods of “tangential food” and “home delivery” are displayed for the customer to select. If the customer selects the “tangent food” mode, the food corresponding to the ordered food list is displayed. It will be sent to the customer through one of the preset transmission channels, robots and drones; if the customer chooses the “home delivery” method, the dishes corresponding to the paid menu list will be automatically packaged through the preset. One of the transfer channels, robots, and drones delivered to the customer's room at the hotel; optional, guest The user may select different delivery methods for different dishes in the paid food list; the obtaining delivery method input by the customer for the paid food list may obtain the preset voice instruction, preset gesture instruction, Presetting one or more of the body motion commands to obtain a delivery manner entered by the customer for the paid menu list, or obtaining a delivery entered by the customer for the paid menu list through a touchpad disposed at the table the way. Optionally, according to the custom information and the table position information of the customer, when the customer selects the dish or waits for the dish to be delivered, the favorite snack is delivered to the table where the customer is located.

The method of the embodiment of the present invention detects whether a customer enters the cafeteria, and if so, identifies the customer, obtains the identity information of the client, acquires the habit information corresponding to the identity information, and guides the client according to the custom information. Going to the dining table matching the identity information and the custom information, obtaining the health data of the customer, displaying a recommendation menu matching the identity information, the habit information, and the health analysis result in the display on the dining table for the user to select; The visual focus of the customer, obtaining the dish information of the dish matching the visual focus, displaying the dish information in the display on the table, obtaining the order instruction input by the customer, obtaining the payment instruction input by the customer, and detecting the payment Whether it is completed, if yes, replacing the to-be-paid label of the dish in the menu to be paid with the paid label, and generating a list of paid dishes, and sending the corresponding dish to the table where the customer is located according to the list of paid items , greatly improving the efficiency of customers ordering at the hotel.

2 is a structural diagram of a hotel self-service ordering system according to Embodiment 2 of the present invention. As shown in FIG. 2, the hotel self-service ordering system 20 can include:

The detecting module 201 is configured to detect whether a customer enters the cafeteria; for example, it can detect whether a customer enters the cafeteria through an infrared sensor disposed at the entrance of the cafeteria; or by detecting whether the cafeteria door is opened, and if so, determining that there is a customer Enter; or, when the cafeteria gate is When the door is revolved, if it is detected that the revolving door is in the rotating state, it is determined that the customer enters the cafeteria; or, by the camera set at the entrance of the cafeteria, image recognition is performed to determine whether the customer enters the cafeteria; or, by setting the floor in the cafeteria a pressure sensor or a vibration sensor to detect whether a customer enters the cafeteria, and if the pressure detected by the pressure sensor exceeds a preset value or the vibration value detected by the vibration sensor exceeds a preset vibration value, it is determined that the customer enters buffet.

The identity recognition module 202 is configured to: when the detecting module 201 detects that a customer enters the cafeteria, identify the client and obtain identity information of the client, where the identity information includes the identity code of the client and the nationality of the client. The customer's hometown, the customer's preset payment account information; for example, detecting the facial information, iris information and quantity information of the customer entering the cafeteria through the camera set at the cafeteria to obtain the pre-stored corresponding customer identity information, for example It is recognized by the camera that one customer enters the cafeteria, and the camera confirms the identity information of the customer through face scan recognition or iris recognition; for example, by setting a fingerprint detector on the cafeteria door button or setting at the cafeteria gate The fingerprint detector on the armrest detects the fingerprint information of the customer to obtain the corresponding customer identity information. When the customer presses the cafeteria button with the finger or the customer holds the handrail on the cafeteria door, the fingerprint detector is set on the button of the cafeteria. Or set the doorrail in the cafeteria The fingerprint detector on the client detects the fingerprint information of the customer to obtain corresponding customer identity information, and the button may be a cafeteria password input button or other buttons set by the cafeteria. For example, the camera can obtain the gesture information of the client through the camera or obtain the gesture information of the client through the touch panel of the cafeteria to obtain the corresponding identity information. For example, the identity recognition gesture corresponding to the client A is rightward, and the client B The corresponding identification gesture is slid down. Then, when the customer enters the cafeteria, the hand is swiped down in the air. After the camera captures the gesture, the customer is identified as customer B, or a customer is at the cafeteria. Scratch to the right on the touchpad and then recognize this The customer is a customer A. In addition, the identity card information carried by the client can be read by the radio frequency card reader to obtain the corresponding identity information; optionally, the information of the current account of the cafeteria access can be unlocked to obtain the corresponding information. The identity information of the customer, for example, the customer A uses the cafeteria software on the mobile phone to log in to his account, and uses the cafeteria software to unlock the cafeteria access control, then, the account included in the account can be unlocked by the unlocking software in the cafeteria. Information to obtain the identity information of A. The identity information includes a customer's identification code, the customer's nationality, the customer's hometown, and the customer's preset payment account information. The identification code can prove who the customer is. The identification code includes the identity card number and the passport. One or more of a number, a driver's license number, a social security number, and a customer's membership number in the hotel;

The habit information obtaining module 203 is configured to obtain the habit information corresponding to the identity information, where the habit information includes the menu list and the number of times of the customer's history ordering, and the order and number of times of the customer history order corresponding to the current time period. a snack that the customer likes to eat, a location that the customer likes to sit when eating; the habit information includes the customer history a la carte list information, the purchase history information of the customer history purchase product, and the customer history corresponding to the current time period Buying the item information and the number of purchases, the snacks that the customer likes to eat, and one or more of the locations that the customer likes to do when eating; for example, the customer matching the identity information can be obtained from a database of the preset server Habitual information.

The routing module 204 is configured to guide the client to the dining table matching the identity information and the custom information according to the custom information; and guide the client to the dining table matching the identity information and the custom information according to the custom information; For example, according to the identity information, if the customer is a Muslim, the table is arranged away from the pork barbecue area; for example, according to the identity information, the customer is an American, often ordering the steak, then Guided to the western food area; the guidance can be led by the robot, the drone in front of the customer, or by setting the wall or the ground in the cafeteria The display device on the display gives the customer a route guidance indication.

The dining chair 205 is configured to detect whether the customer is seated on the dining chair 205 at the dining table, and if so, the weight parameter of the customer is weighed by the weight scale provided on the dining chair 205, and the heart rate monitor is set on the armrest of the dining chair 205. The fat detector, the blood pressure detector, the human body moisture content detector respectively detect the heart rate parameter, the fat parameter, the blood pressure parameter and the moisture content parameter of the customer; the dining chair 205 is specifically used to: first obtain different through the camera set on the dining table; The position of the customer at the dining table, and then according to the position of the different customers at the dining table, the weight parameter obtained by the weight scale of the corresponding dining chair 205 at the position is used as the weight parameter of the corresponding customer; according to different customers at the table The position matches the heart rate parameter, the fat parameter, the blood pressure parameter, the moisture content parameter obtained by the heart rate monitor, the fat detector, the blood pressure detector, the human body moisture content detector on the armrest of the corresponding dining chair 205 at the position, and thus serves as a corresponding customer. Heart rate parameters, fat parameters, blood pressure parameters, moisture content parameters. For example, the health data includes a customer's weight parameter, a heart rate parameter, a fat parameter, a blood pressure parameter, a moisture content parameter; and the gravity sensor on the camera or the dining chair 205 detects whether the customer sits on the dining chair 205, and if so, passes The weight scale set on the dining chair 205 weighs the weight parameter of the customer, and the heart rate monitor, the fat detector, the blood pressure detector, and the human body moisture content detector set on the armrest of the dining chair 205 respectively detect the heart rate parameter and the fat parameter of the customer. Blood pressure parameter, moisture content parameter; obtaining health data of the customer, the health data including the weight parameter, heart rate parameter, fat parameter, blood pressure parameter, moisture content parameter; optionally, sitting around the same table for multiple customers When a plurality of dining chairs 205 are used, the position of the customer of different identities at the dining table is first obtained by the camera or the fingerprint sensor. For example, a dining table having two left and right dining chairs 205 is taken as an example, and each dining chair 205 is provided in front of the dining chair 205. A camera that obtains identity information by facial recognition or iris recognition of a customer on the 205 seat of the dining chair through a camera. Each chair 205 to determine which of the client, i.e. the client acquires the position at the table; or chair by help 205 The fingerprint sensor on the hand obtains the fingerprint data of the customer on the dining chair 205, thereby further obtaining the identity data corresponding to the fingerprint data, and obtaining the location of the customer at the table. And matching the weight parameter obtained by the corresponding weight scale at the position according to the position as a weight parameter of the corresponding customer; matching the heart rate monitor, the fat detector, the blood pressure detector, the corresponding heart rate monitor according to the position, The heart rate parameter, the fat parameter, the blood pressure parameter, and the moisture content parameter obtained by the human body moisture content detector are used as the heart rate parameter, the fat parameter, the blood pressure parameter, and the moisture content parameter of the corresponding customer, so as to avoid confusion of health data of different customers, and Ability to quickly differentiate health data from different customers.

The health analysis module 206 is configured to obtain health data of the customer, where the health data includes the weight parameter, the heart rate parameter, the fat parameter, the blood pressure parameter, and the moisture content parameter; establish a corresponding health data file for the customer, and record the customer each measurement The obtained body weight parameter, heart rate parameter, fat parameter, blood pressure parameter, and moisture content parameter are analyzed for health status, and the health condition analysis result is obtained; for example, the health data includes the customer's body weight parameter, heart rate parameter, fat parameter, blood pressure parameter, and moisture content. The parameter is determined by the gravity sensor on the camera or the dining chair 205 to determine whether the customer is seated on the dining chair 205, and if so, the weight parameter of the customer is weighed by the weight scale provided on the dining chair 205, and passed through the armrest of the dining chair 205. The heart rate monitor, the fat detector, the blood pressure detector, and the human body moisture content detector respectively detect the heart rate parameter, the fat parameter, the blood pressure parameter, and the moisture content parameter of the customer; and obtain health data of the customer, wherein the health data includes the weight Parameters, heart rate parameters, fat parameters, blood pressure parameters Optionally, for a plurality of customers sitting on a plurality of dining chairs 205 around the same table, the camera or the fingerprint sensor is used to obtain the position of the customer at different times by the camera or the fingerprint sensor, for example, For example, the dining table of the two dining chairs 205 is provided with a camera in front of each dining chair 205, and the identity information is obtained by facial recognition or iris recognition of the customer on the 205 seat of the dining chair, thereby determining each dining chair 205. Which customer is on, that is, the position of the customer at the table; or The fingerprint sensor on the armrest of the dining chair 205 acquires the fingerprint data of the customer on the dining chair 205, thereby further obtaining the identity data corresponding to the fingerprint data, and from where the location of the customer at the table is obtained. And matching the weight parameter obtained by the corresponding weight scale at the position according to the position as a weight parameter of the corresponding customer; matching the heart rate monitor, the fat detector, the blood pressure detector, the corresponding heart rate monitor according to the position, The heart rate parameter, the fat parameter, the blood pressure parameter, and the moisture content parameter obtained by the human body moisture content detector are used as the heart rate parameter, the fat parameter, the blood pressure parameter, and the moisture content parameter of the corresponding customer, so as to avoid confusion of health data of different customers, and Ability to quickly differentiate health data from different customers.

The prompting module 207 is configured to display abnormal health data by using the health condition analysis result obtained by the health analysis module 206, and then send a corresponding reminder to the social software account of the corresponding customer by performing a voice or visual prompt on the display set on the dining table. The information is sent to the corresponding customer's mobile phone to send one or more of the corresponding reminding information to notify the corresponding customer to pay attention to the health abnormality question;

The ordering module 208 is configured to display, in the display on the dining table, a recommendation menu matching the identity information, the habit information, and the health analysis result for the user to select; the ordering module 208 is further configured to acquire the vision of the client. Focusing on obtaining the dish information of the dish matching the visual focus, the dish information including the dish ingredient information, the dish price information, the dish calorie information, the dish contraindication information, and displaying the dish information in the display on the table The a la carte module 208 is further configured to: obtain a la carte instruction input by the customer, add a to-be-paid label to the dish corresponding to the ordering instruction, and display the dish containing the to-be-paid label in the display on the dining table The list of the items to be paid and the total price of the items to be paid; the ordering module 208 is specifically configured to: obtain the preset a la carte action input by the customer through the camera set on the table; or obtain the vision of the customer through the camera set on the table If the focus stays at the first dish, if the time exceeds the preset value, it is determined that the customer inputs the A la carte order for dishes. For example, according to the identity information of the customer A, the customer is a Muslim, often ordering amaranth, and the list of the amaranth dishes containing the pork-ingredients is recommended as a recommended menu; for example, according to the custom information of the customer B, B. When ordering some light vegetables frequently in the current time period, the vegetable menu list is recommended as a recommended menu to B; for example, if the health analysis result of customer C shows high cholesterol content, or has high blood pressure, vegetables and fruits are recommended. The class or light dish is given to C, and the recommended menu is displayed on the display of the dining table. Optionally, the order of the dishes in the recommended menu may be sorted and displayed according to the identity information, the habit information, and the health analysis result of the customer. For example, if the customer is an American, the hamburger and the western food are preferentially displayed; for example, the customer If the patient is hypertensive, the high-calorie and high-fat dishes will be displayed at the end of the recommended menu. The recommended menu will give priority to the dishes of light, fruit, low-oil and low-fat; for example, prioritize the dishes that customers often order. It is convenient for users to choose quickly. Obtain the visual focus of the customer, for example, by taking the camera set at the table to obtain the orientation of the customer's pupil as the visual focus of the customer. For example, a cue point image corresponding to the visual focus is displayed in the display, and when the cue point image coincides with the dish image, the dish information of the dish corresponding to the dish image is acquired; the dish information includes a dish component Information, dish price information, dish calorie information, dish contraindication information, displaying the dish information in the display; optionally, highlighting the taboo information of the dish according to the health condition analysis result of the customer, for example The words "This dish is not suitable for people with high blood pressure" are displayed. For example, when the customer's visual focus detects that the customer is currently staring at the pickled fish in the menu, the menu information of the pickled fish is displayed, and the customer inputs a preset voice order instruction, for example, the customer says “put in the a la carte car”, and then adds to the pickled fish. a virtual to-be-paid label, and the information of the pickled fish with the label to be paid is put into the list of items to be paid, the total price of the dishes in the current list of items to be paid is calculated, and the list of items to be paid and the items to be paid are displayed in the display on the table. The total price; optionally, the obtaining the order of the customer input, specifically including: passing the meal The camera on the table obtains the preset a la carte action input by the customer; for example, the customer's preset a la carte action is a thumbs up, and when detecting that the dish corresponding to the customer's visual focus is a box of chocolate, the camera detects the customer's vertical position. With a thumbs up, a virtual to-be-paid label is added for the box of chocolates, and the chocolate information with the label to be paid is placed in the list of items to be paid, and the total price of the items in the list of items to be paid is calculated and displayed on the display. Paying the list of dishes and the total price of the items to be paid; for example, the customer's preset ordering action is to continue to nod two times in a preset time, for example, within two seconds, when the food corresponding to the customer's visual focus is detected. When a can of milk is detected, the camera detects that the customer has nodded twice in 2 seconds, then adds a virtual to-be-paid label to the can of milk, and puts the milk information with the to-be-paid label into the list of items to be paid, and calculates the current payment to be paid. The total price of the dishes in the menu list, in the lower right corner of the display display area, the list of items to be paid and the total price of the items to be paid are displayed; The a la carte action may also be continuous blinking 3 times within a preset time. When the customer's visual focus corresponds to a roast chicken, the camera detects that the customer's eyes have smashed 3 times in 2 seconds, then The roast chicken adds a virtual to-be-paid label, and puts the roast chicken with the to-be-paid label into the list of items to be paid, calculates the total price of the dishes in the current list of items to be paid, and displays it in the display; for example, the a la carte action is also It may be that the visual focus stays in a certain dish for more than a preset time value. For example, after detecting that the food corresponding to the customer's visual focus is a box of eggs, it is detected that the customer's visual focus stays on the box of eggs exceeds the preset value. For example, 2 seconds, a virtual to-be-paid label is added for the box of eggs, and the information of the box of eggs with the label to be paid is put into the list of items to be paid, and the total price of the items in the list of items to be paid is calculated in the display area of the display. In the lower right corner, the list of items to be paid and the total price of the items to be paid are displayed in a transparent manner.

The payment module 209 is configured to obtain a payment instruction input by the customer, perform an automatic payment operation according to the payment account information, the list of the to-be-paid items, and the total price of the item to be paid; and check whether the payment is completed. If yes, replacing the to-be-paid label of the dish in the menu to be paid with the paid label, and generating a list of paid items; for example, according to the payment account information and the list of items to be paid, the total price of the item to be paid Performing an automatic payment operation; detecting whether the payment is completed, for example, detecting whether the payment is successfully made from the payment account, and if so, replacing the to-be-paid label of the dish in the list of items to be paid with the paid label, and generating the paid item List

The delivery module 210 is configured to send the corresponding dish to the table where the customer is located according to the paid food list. The delivery module 210 is further configured to: distribute the snacks that the customer likes to eat to the dining table where the customer is located according to the custom information. For example, the customer is displayed with the list of the paid food items, and the two methods of “tangential food” and “home delivery” are displayed for the customer to select. If the customer selects the “tangent food” mode, the food corresponding to the ordered food list is displayed. It will be sent to the customer through one of the preset transmission channels, robots and drones; if the customer chooses the “home delivery” method, the dishes corresponding to the paid menu list will be automatically packaged through the preset. One of the transfer channels, the robot, and the drone is sent to the customer's room in the hotel; optionally, the customer can select a different delivery method for different dishes in the ordered menu; the obtaining customer is The delivery method entered in the list of paid foods may be obtained by acquiring one or more of a preset voice command, a preset gesture command, and a preset body motion command issued by the customer. The delivery method, or the delivery method entered by the customer for the paid food list, is obtained through a touch panel provided on the dining table. Optionally, according to the custom information and the table position information of the customer, when the customer selects the dish or waits for the dish to be delivered, the favorite snack is delivered to the table where the customer is located.

The uploading module further includes: after the payment module 209 generates the paid food list, uploading the customer's identity information, the paid food list, and the paid food list generation time to the preset server. Optionally, after the generated list of paid dishes, the identity information of the customer and the paid dishes are The list and the paid list generation time are uploaded to the database of the preset server for subsequent analysis of customer habit information.

The above description is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention. It is apparent to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, and the present invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the invention is defined by the appended claims instead All changes in the meaning and scope of equivalent elements are included in the present invention. Any reference signs in the claims should not be construed as limiting the claim. In addition, it is to be understood that the word "comprising" does not exclude other elements or steps. A plurality of units or devices recited in the device claims may also be implemented by the same unit or device in software or hardware. The first, second, etc. words are used to denote names and do not denote any particular order.

It should be noted that the above embodiments are only for explaining the technical solutions of the present invention and are not intended to be limiting, and the present invention will be described in detail with reference to the preferred embodiments. Modifications or equivalents are made without departing from the spirit and scope of the invention.

Claims

A hotel self-service ordering system, characterized in that it comprises:

a detection module for detecting whether a customer enters the cafeteria;

An identity identification module, configured to: when the detecting module detects that a customer enters the cafeteria, identify the customer, and obtain identity information of the customer, where the identity information includes the identity code of the customer, the nationality of the customer, and the customer Hometown, customer default payment account information;

The habit information acquisition module is configured to obtain the habit information corresponding to the identity information, where the habit information includes a menu list and a number of times of the customer's history ordering, and a menu and a number of times of the customer history order corresponding to the current time period, Snacks that customers like to eat, where customers like to sit when they eat;

a routing module, configured to guide the client to the dining table matching the identity information and the custom information according to the custom information;

The dining chair is used to detect whether the customer is seated on the dining chair at the dining table, and if so, the weight parameter of the customer is weighed by the weight scale set on the dining chair, and the heart rate monitor and the fat detector set on the handrail of the dining chair are adopted. The blood pressure detector and the human body moisture content detector respectively detect the heart rate parameter, the fat parameter, the blood pressure parameter and the moisture content parameter of the customer;

a health analysis module, configured to obtain health data of the customer, wherein the health data includes the weight parameter, the heart rate parameter, the fat parameter, the blood pressure parameter, and the moisture content; and the corresponding health data file is established for the customer, and the measurement is recorded every time the customer obtains The weight parameter, heart rate parameter, fat parameter, blood pressure parameter, and moisture content parameter are analyzed for health status, and the health condition analysis result is obtained;

a à la carte module for displaying a recommendation menu matching the identity information, the habit information, and the health analysis result in the display on the dining table for the user to select;

The ordering module is further configured to obtain a visual focus of the customer, and obtain the dish information of the dish that matches the visual focus, the dish information including the dish ingredient information, the dish price information, the dish calorie information, the dish taboo information, Displaying the dish information in a display on the dining table;

The ordering module is further configured to: obtain a la carte instruction input by the customer, add a to-be-paid label to the dish corresponding to the ordering instruction, and display the to-be-paid item of the dish containing the to-be-paid label in the display on the dining table The list of dishes and the total price of the items to be paid.
The hotel self-service ordering system according to claim 1, wherein the system further comprises: a payment module, configured to acquire a payment instruction input by the customer, according to the payment account information and the list of to-be-paid dishes The total price of the food to be paid is automatically paid.
The hotel self-service ordering system according to claim 2, wherein the payment module is further configured to detect whether the payment is completed, and if so, replace the to-be-paid label of the dish in the list of items to be paid For the paid label, and generate a list of paid dishes.
The hotel self-service ordering system according to claim 3, wherein the system further comprises: a delivery module, configured to send the corresponding dish to the table where the customer is located according to the paid food list.
The hotel self-service ordering system according to claim 4, wherein the system further comprises: a prompting module, configured to display abnormal health data when the health condition analysis result obtained by the health analysis module is displayed, Notifying the corresponding customer to pay attention to the health abnormality by performing a voice or visual prompt on the display set on the dining table, sending corresponding reminding information to the social software account of the corresponding customer, and sending one or more corresponding reminding information to the mobile phone of the corresponding customer. problem.
The hotel self-service ordering system according to claim 5, wherein the dining chair is specifically configured to: first obtain a position of a different customer at the dining table through a camera provided on the dining table. And according to the position of the different customers at the dining table, the weight parameter obtained by the weight scale of the corresponding dining chair at the position is matched as the weight parameter of the corresponding customer; and the corresponding dining chair is matched according to the position of the different customers at the dining table. The heart rate monitor, the fat detector, the blood pressure detector, the body moisture content detector, the heart rate parameter, the fat parameter, the blood pressure parameter, and the moisture content parameter on the handrail are used as the heart rate parameter, fat parameter, blood pressure parameter, and moisture of the corresponding customer. Content parameter.
The hotel self-service ordering system according to claim 6, wherein the ordering module is specifically configured to: obtain a preset a la carte action input by the customer through a camera provided on the dining table.
The hotel self-service ordering system according to claim 6, wherein the ordering module is specifically configured to: obtain, by the camera set on the dining table, the time when the visual focus of the customer stays at the first dish, if If the time exceeds the preset value, it is determined that the customer inputs the order order for the first dish.
The hotel self-service ordering system according to claim 8, wherein the delivery module is further configured to: distribute the snacks that the customer likes to eat to the table where the customer is located according to the habit information.
The hotel self-service ordering system according to any one of claims 1 to 9, further comprising an uploading module, configured to: after the payment module generates the paid food list, the identity information of the customer, The paid list of dishes and the generated list of paid foods are uploaded to the default server.