CN113850354A - Automatic meal preparation method and system based on mobile accelerator, semi-active RFID and NFC - Google Patents

Automatic meal preparation method and system based on mobile accelerator, semi-active RFID and NFC Download PDF

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CN113850354A
CN113850354A CN202111104694.XA CN202111104694A CN113850354A CN 113850354 A CN113850354 A CN 113850354A CN 202111104694 A CN202111104694 A CN 202111104694A CN 113850354 A CN113850354 A CN 113850354A
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catering
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钱怡
杭云
郭宁
施唯佳
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Tianyi Digital Life Technology Co Ltd
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Abstract

The application discloses an automatic catering method based on a mobile phone mobile accelerator and semi-active RFID and NFC technologies, which comprises the following steps: after the merchant receives the order information, the estimated arrival time T based on the meal fetching personnelgIssuing a food matching instruction; automatically catering is completed based on order information by reading a low-frequency RFID signal on a semi-active RFID label on an empty lunch box; and when the meal taking personnel arrive, the automatic meal taking is completed by reading the high-frequency RFID signal on the semi-active RFID tag. The application also discloses a corresponding system capable of realizing the method.

Description

Automatic meal preparation method and system based on mobile accelerator, semi-active RFID and NFC
Technical Field
The application relates to the field of food machinery automation, in particular to an unmanned automatic catering method and system based on a mobile phone mobile accelerator and a semi-active RFID (radio frequency identification) and NFC (near field communication) wireless induction technology.
Background
The development of internet technology has made people rely more and more on networks to achieve various conveniences in life. Such as online shopping, take-away ordering, teleconferencing, and the like. At present, for remote meal ordering, a meal taking system orders and places orders at a client through a mobile phone APP by a user, and after the orders are transmitted to a list sending system (such as American groups, hungry and the like) through a network, a cook manually allocates meals according to list sending information of the system, packs the meals and places the meals on one side, and waits for the user or a courier to get the allocated meal boxes at home. However, this approach is generally not of concern at the point in time when the previous person picking the meal package will arrive. Therefore, in the actual process, the meal taking personnel often arrive and the meal preparation is not completed, or the meal preparation personnel still do not see the meal taking personnel for a long time after the meal preparation is packed. If the weather is cold in winter or the meal taking staff encounter obstacles on the road and delay the arrival of the meal taking, the meal can be cooled; in summer, when the weather is hot or the road is congested, food may be deteriorated, melted or mixed with other food when the food is eaten too early. In any case, the self experience of the ordering user is greatly influenced.
Therefore, in the field of automatic catering, there has been a long-felt need for a humanized unmanned catering method.
Disclosure of Invention
The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.
As described above, in order to solve the problems in the prior art, the present application integrates a Micro Control Unit (MCU) development board, a WIFI module, a Near Field Communication (NFC) card, a semi-active Radio Frequency Identification (RFID) tag, a high and low Frequency RFID signal reader, a manipulator, a conventional meal box, an automatic food adding machine, and a conveyor belt by simply modifying a common remote ordering and order receiving software system. The high-probability arrival time is obtained by reading the mobile phone acceleration reported by the mobile phone acceleration sensor of the meal taking person, and the MCU control system sends an instruction to each module in advance for 10 minutes to complete the operations of adhering semi-active RFID tags of meal boxes, automatically catering by the NFC induction driven by a manipulator, packaging and the like. After the meal taking personnel arrive, the manipulator grabs the meal box and pushes the meal box to the meal taking window according to the spatial position of the high-frequency signal of the semi-active RFID label by scanning the two-dimensional code. Therefore, the food preparation starting time of the door shop can be controlled in a humanized mode, the food preparation and taking functions can be automatically completed on the premise that the user does not sense the food preparation, the optimization, reduction and taking waiting time are prolonged, the food preparation safety and sanitation (no personnel contact), the food temperature is guaranteed to be appropriate, and the like, so that the user experience degree is greatly improved.
According to an example, an automatic meal-preparing method based on a mobile phone mobile accelerator and a semi-active RFID and NFC technology is described, and the method comprises the following steps:
after the merchant receives the order information, the estimated arrival time T based on the meal fetching personnelgIssuing a food matching instruction;
automatically catering is completed based on the order information by reading a low-frequency RFID signal on a semi-active RFID label on the empty lunch box;
and when the meal fetching personnel arrive, the high-frequency RFID signal on the semi-active RFID tag is read to complete automatic meal fetching.
According to the preferred embodiment of the application, the estimated arrival time is calculated based on the mobile phone number of the meal taker and the current position information, wherein the mobile phone number is used for calculating the average moving speed of the meal taker.
According to a preferred embodiment of the present application, the merchant is at a distance T from the estimated time of arrivalgTime T before predetermined timedAnd issuing the catering instruction, wherein the preset time is set by the merchant based on the order information.
According to the preferred embodiment of the present application, the automatic catering is realized by the following steps:
when the empty lunch box reaches the automatic lunch box body, a low-frequency RFID reader arranged at the bottom reads the low-frequency RFID signal and uploads the equipment ID of the low-frequency RFID signal;
and controlling a meal distribution manipulator based on the equipment ID and the order information to realize the automatic meal distribution.
According to the preferred embodiment of the present application, the automatic meal taking is realized by the following steps:
when the meal taking personnel arrive at the merchant, scanning the meal taking two-dimensional code and matching the meal taking two-dimensional code with the semi-active RFID label;
and acquiring the current position of the prepared meal box based on the high-frequency RFID signal on the semi-active RFID label and controlling the meal taking manipulator to automatically take the meal.
According to the preferred embodiment of the application, the food preparation manipulator controls the automatic food adding box body through the NFC technology so as to realize automatic food preparation.
According to the preferred embodiment of the application, the food preparation manipulator controls the opening duration of the bottom of the automatic food adding box body through a system unified clock sequence technology so as to realize the automatic food preparation.
According to the preferred embodiment of the present application, the semi-active RFID tag is attached on the empty lunch box using a semi-active RFID labeler. Use semi-active RFID labeller to paste formula and beat mark cutlery box technique, compare with current common dinner plate mode through embedded NFC card or RFID card, need not change current cutlery box packing carton material, and is swift convenient, has reduced use cost.
According to a second aspect of the present application, there is provided an automatic catering system according to the automatic catering method, the system comprising:
a remote ordering module which comprises an average moving speed calculating module used for calculating the average moving speed of the meal taking personnel and an estimated arrival time calculating module used for calculating the estimated arrival time Tg；
The cloud module is used for calculating the starting time of automatic catering, storing information related to automatic catering and issuing related instructions;
the MCU control module is used for receiving an instruction from the cloud module to control the automatic catering; and
and the semi-active RFID labeling machine is used for pasting a semi-active RFID label on the empty meal box, wherein the semi-active RFID label comprises a low-frequency RFID signal and a high-frequency RFID signal, the RFID signal is used for completing automatic meal preparation, and the high-frequency RFID signal is used for completing automatic meal taking.
According to the preferred embodiment of the application, the cloud module is a merchant private cloud, and the operation management mode of the cloud module is different from the existing public cloud centralized operation management mode. This allows the catering order information of each catering merchant to be better protected.
To the accomplishment of the foregoing and related ends, the one or more aspects comprise the features hereinafter fully described and particularly pointed out in the claims. The following description and the annexed drawings set forth in detail certain illustrative features of the one or more aspects. These features are indicative, however, of but a few of the various ways in which the principles of various aspects may be employed and the present description is intended to include all such aspects and their equivalents.
Drawings
So that the manner in which the above recited features of the present application can be understood in detail, a more particular description of the disclosure briefly summarized above may be had by reference to aspects, some of which are illustrated in the appended drawings. It is to be noted, however, that the appended drawings illustrate only certain typical aspects of this application and are therefore not to be considered limiting of its scope, for the description may admit to other equally effective aspects.
In the drawings:
FIG. 1 is a block diagram illustrating a prior art process for remotely ordering, catering, and taking meals;
fig. 2 is a flow diagram illustrating an unmanned automatic meal-filling method based on a mobile phone mobile accelerator and RFID, NFC technology according to an embodiment of the application;
fig. 3 is a block diagram illustrating a structure of a control system of a restaurant private cloud according to an embodiment of the present application;
FIG. 4 is a schematic diagram illustrating the operation of an always controlled module of a restaurant private cloud according to an embodiment of the application;
fig. 5 is a schematic block diagram illustrating automatic labeling of a meal box with a semi-active RFID tag according to an embodiment of the present application;
FIG. 6 is a schematic block diagram illustrating bottom and back modification of an automated food serving carton according to an embodiment of the present application;
FIG. 7 is a flow chart illustrating automatic catering according to an embodiment of the application; and
fig. 8 is a flow chart illustrating a meal-taking process according to an embodiment of the present application.
Detailed Description
The detailed description set forth below in connection with the appended drawings is intended as a description of various configurations and is not intended to represent the only configurations in which the concepts described herein may be practiced. The detailed description includes specific details to provide a thorough understanding of the various concepts. It will be apparent, however, to one skilled in the art that these concepts may be practiced without these specific details. In some instances, well known components are shown in block diagram form in order to avoid obscuring such concepts.
It is to be understood that other embodiments will be evident based on the present disclosure, and that system, structural, process, or mechanical changes may be made without departing from the scope of the present disclosure.
A block flow diagram of a prior art remote meal order, catering and fetching is illustrated in fig. 1.
As shown in fig. 1, the current remote meal ordering system mainly comprises the following steps. The user side orders and places orders through the ordering APP, and the remote ordering system is characterized in that the server side selects the courier to send the orders through big data, GPS satellite positioning, AI algorithm and the like. Typically, order takers are decided based on the optimal path distance and length of time to reach the meal and customer locations. Thus, there is no reminder mechanism as to when the meal pick-up should begin catering. Meanwhile, the restaurant knows the ordering information of the user mostly according to the pushing of the ordering platform, then staff in the restaurant manually prepares meals, and the dishes are placed on one side after the meal preparation is completed to wait for the meal taking staff to come to the restaurant to get the meal. Therefore, the existing remote ordering system is not concerned with the perception of user experience such as when a meal taker arrives at a restaurant, how long he/she needs to wait, and whether the meal is cold/likely to go bad.
Fig. 2 illustrates a flow diagram of an unmanned automatic meal-matching method based on a mobile phone mobile accelerator and RFID, NFC technology according to an embodiment of the present application.
Referring to fig. 2, the present application loads an algorithm module for calculating the approximate arrival time of the meal taker at the meal taking point on the platform side of the existing remote meal ordering system. The average acceleration of the mobile phone is obtained by periodically (for example, every 0.1s) reading the movement acceleration of the mobile phone acceleration sensor of the meal taker and the collection period (for example, 0.1s), the time that the meal taker possibly arrives is obtained by the optimal path selection, and the average acceleration is transmitted to the order taking module of the restaurant together with the order information.
There are many algorithms for optimal path selection, which are known in the art and therefore not described in detail herein.
In a restaurant, an order receiving module in a remote ordering system receives original order information and possible arrival time of a meal taker. And the order taking module stores the order information and the possible arrival time into a private cloud control system of the store. The private cloud control system transmits a food preparation starting instruction to the MCU control system in the store through the WIFI network at a preset time (for example, 10 minutes) before the arrival time of the food fetching personnel, so that an automatic food preparation flow is started. As can be appreciated by those skilled in the art, the predetermined time can be set by the user according to the making time of the food or beverage, etc. and is preset in the MCU control system. .
The MCU control system starts the lunch box conveyor belt, and the conveyor belt conveys the empty lunch box to the front of the semi-active RFID labeling machine to finish the RFID label pasting of the lunch box. And the RFID label management system synchronously transmits the ID information of the RFID label back to the private cloud control system. And the private cloud end binds and matches the order code of the current catering with the RFID _ ID according to a first-in first-out sequence.
The MCU control system continues to send an advancing instruction to the conveyor belt, and the meal box is conveyed to the bottom of the meal adding box through the conveyor belt. When the lunch box enters an induction radius area (generally about 12cm) of a low-frequency RFID signal reader at the bottom of the dining box, the low-frequency RFID reader reports the ID of the RFID tag of the lunch box and the ID of the own equipment of the reader to a private cloud control system of a restaurant through a WIFI network.
And matching the ID of the back manipulator of the food adding box where the food box is located at present at the private cloud according to the ID of the reader device. And the private cloud associates the manipulator ID with the dish ID of the food adding box and compares the manipulator ID with the current catering order dish information. When the food in the current food adding box of the food box is determined to be the food in the order, the private cloud issues the manipulator ID and the manipulator forward probing instruction to the MCU control system. The MCU control system controls the manipulator to finish the forward detection so that the manipulator can approach the NFC card to an NFC induction area at the back of the food adding box to open a valve at the bottom of the food adding box. And the quantitative loading of dishes is automatically completed by the food adding machine within the current set time. As can be appreciated by those skilled in the art, the MCU control system can control the pause and the start of the conveyor belt through the clock to repeat the above steps so as to complete the automatic catering of the meal boxes at the bottoms of the various meal boxes.
As described above, the technical scheme of the application can be realized by loading the calculation module for acquiring the time that the meal fetching person may arrive at the restaurant with a high probability on the order dispatching platform side of the existing remote meal ordering system.
After ordering through the ordering client APP, a user reads the mobile phone number of a meal taking person (a courier or the user himself), reads the acceleration of the mobile phone movement acceleration sensor according to the mobile phone number in a period of 0.1s, and multiplies the acceleration by the period, so that the average acceleration of the mobile phone of the meal taking person can be obtained.
The paths that the meal taker may take are then selected to calculate the distance according to various optimal path selection algorithms known in the art. The average acceleration of the mobile phone is divided by the distance, so that the time that the meal taking person probably reaches the meal taking point can be obtained.
The following describes in detail the implementation of the method of the present application with reference to specific embodiments.
Assume that the mobile phone acceleration sensor value of the meal taker is periodically obtained every 0.1s (X)i,Yi,Zi) Wherein X, Y and Z represent acceleration values of the mobile phone in 3 dimensions of horizontal, vertical and depth of field respectively. In the scheme of the application, the meal taking personnel only move on the flat ground, so that only the speed value in the X direction is selected. Assume that the acceleration of the handset in the X direction is read 100 times in 10 seconds. Then, the average moving speed of the mobile phone in the horizontal direction is assumed to be: n is the same as the formula (I).
Average moving speed XP ═ Σ (X-direction value Xi 0.1 s/n of mobile phone acceleration sensor) of mobile phone of meal taker in X direction
Wherein, i 1(n 100, 200, 300.)
The platform obtains the path and the distance L which the meal taking personnel may pass through by reading the mobile phone positioning information of the meal taking personnel and combining a big data path selection algorithm, and the time of the meal taking personnel arriving at the meal taking point is as follows: t isg＝L/XP。
Note that if the acceleration in the X direction is 0 for 3 consecutive acquisition cycles, this indicates that the meal taker is not starting. Thereafter, the platform may decrease the read frequency, e.g., acquire the X-direction and velocity every 1s instead. Wait for XiAnd when the value is larger than 0, the dense acquisition mode is recovered.
Compared with the current mainstream method for positioning express delivery personnel through a GPS satellite and calculating the possible arrival at a store, the method has the advantages that the accuracy is higher by using the mobile acceleration of the mobile phone, and the time-shifting delay and the positioning drift error of the GPS satellite positioning are reduced.
Accordingly, there is also a need for corresponding improvements on the meal-taking side, i.e. in the restaurant. A block diagram of a restaurant private cloud control system according to an embodiment of the present application is illustrated in fig. 3.
As shown in fig. 3, a private cloud and an MCU control system are externally connected by modifying the PC of the original order receiving system. The private cloud completes the functions of starting time calculation, cloud information storage, query and the like. The MCU control system is composed of an MCU bottom plate, a WIFI main chip module, an auxiliary chip module, a high-frequency RFID signal reader and various peripheral devices well known in the field.
The WIFI main chip module is used for receiving various instructions issued by the private cloud control system, transmitting the instructions to the MCU control system, and transmitting the instructions to the WIFI auxiliary chip module by the MCU control system, so that various peripheral devices (such as a conveyor belt, a manipulator and the like) are controlled.
Meanwhile, in order to obtain the position information generated by the high-frequency RFID signal with higher precision, a plurality of high-frequency RFID far-field locators are required to be placed in a store. When the RFID high-frequency signal reader triggers a semi-active RFID tag of a certain ID, a plurality of RFID far-field locators work together and generate the spatial position of the semi-active RFID tag relative to the ID in the RFID locating software.
In addition, an all-time control module is required to be loaded at the private cloud for issuing an automatic catering starting instruction. An operational schematic of an always controlled module of a restaurant private cloud according to an embodiment of the present application is illustrated in fig. 4.
As shown in fig. 4, when the order receiving system of the restaurant receives the possible arrival time T of the meal taker issued by the order dispatching platformgAnd then transmitted to the private cloud. The private cloud subtracts a preset lead time window (e.g., 10 minutes) for preparing the food at the cloud. As can be appreciated by those skilled in the art, the lead time window may be provided by the restaurant store according to the mix of the storeThe meal duration comes from the main setting. And then the automatic food preparation starting time T can be generated for the food ordering orderd. This time TdThe automatic catering starting instruction is stored in the clock control module, and when the clock arrives, the private cloud issues the automatic catering starting instruction to the main chip module of the MCU control system through the WIFI network.
The private cloud end establishes a database corresponding to each single ID in the catering order, the low-frequency RFID reader ID at the bottom of the food box and the WIFI manipulator ID. The following table shows the correspondence between the assessment and the RFID reader ID and the WIFI manipulator ID. The system can drive the WIFI manipulator according to the name of the dish of the order on the basis of the corresponding relation, and then the manipulator completes the opening operation of the valve at the bottom of the box body of the dish corresponding to the food serving box body through the induction of the front-detection NFC card, so that unmanned automatic food preparation is realized. The spy distance of manipulator is by the food and beverage shop through measuring actual manipulator when reseing and the actual distance of the NFC induction zone at box back of the box of addendum with the food, then inputs private cloud by oneself, sends out manipulator spy instruction to MCU control system afterwards.
Figure BDA0003270224140000091
Dish and snack box bottom low frequency RFID reader ID and manipulator ID correspondence table
A semi-active RFID label automatic marking machine is arranged in a restaurant. And the RFID label management system opens an RFID label ID reading API interface and is in butt joint with the private cloud. When automatic food preparation starts, the MCU control system sends a starting instruction to the conveyor belt through the WIFI auxiliary chip module, and the label marking is completed before the empty lunch box is placed on the RFID label machine through the conveyor belt. When the RFID label sticking of one lunch box is finished, the management system returns the ID of the current RFID label to the private cloud, and the private cloud binds the order number of the current catering start and the current RFID label ID according to the first-in first-out sequence and stores the order number and the current RFID label ID into a database for positioning the position of the lunch box by the meal taking manipulator according to the RFID label ID. A schematic block diagram of a meal box completing the automatic labeling of semi-active RFID tags is illustrated in fig. 5.
And the automatic food adding box body of the restaurant needs to be modified to a certain extent. Particularly, a low-frequency RFID signal reader with a WIFI function is required to be arranged at the bottom of the dining box body so as to read the position of the semi-active RFID tag in the space. The bottom is also provided with a valve to facilitate the food to automatically enter the lunch box. In addition, an NFC sensing area is arranged on the back of the dining box body and used for controlling the opening of the valve and food distribution. Of course, as known to those skilled in the art, the arrangement of the low-frequency RFID signal reader and the NFC sensing area is only adaptive, and the specific location thereof can be set by those skilled in the art according to the food variety and the placement position, which are all covered by the protection scope of the present application.
A flowchart of automatic catering according to an embodiment of the application is described in detail below in conjunction with fig. 7.
As shown in the drawings, in the figures,
1) after receiving a food preparation starting instruction issued by a private cloud, the MCU system sends a starting command to the conveyor belt, the empty lunch box finishes RFID label marking, the empty lunch box enters an RFID low-frequency reader induction area (for example, the radius is 12cm) at the bottom of the box body through the conveyor belt, the low-frequency reader reads the RFID _ ID of the lunch box, and the RFID _ ID and the self-owned equipment ID of the reader are transmitted back to the private cloud through WIFI; the private cloud locates the current box filling manipulator ID of the lunch box through matching of the returned low-frequency RFID signal reader device ID and the box filling manipulator ID stored in the cloud.
2) After the private cloud acquires the returned RFID tag ID of the lunch box, a conveyor belt pause instruction is issued to the MCU control system; and the private cloud conducts traversal comparison on the dish ID corresponding to the manipulator ID at the back of the current food adding box and the order dish data set. If the dish ID corresponding to the manipulator ID is the same as certain data in the order dish ID set, a bottom valve of the food adding box is opened: MCU control system sends drive instruction to this WIFI manipulator, after the instruction was received to the WIFI manipulator, with the manipulator forestope, reach spatial position according to preset manipulator, send the NFC card of manipulator front end to the NFC induction zone of the current location's food box, according to NFC response electromagnetism principle, the valve is opened, begin to pour into food into to the cutlery box, after the food box predetermined food adding time window value (as 60s), the manipulator successfully accomplishes the notice to the successful completion of the forestope action of MCU control system passback, MCU sends reset instruction to the manipulator after receiving, the NFC card leaves the box induction zone, the valve is closed.
3) And according to the clock setting of the MCU system, the food box stays for 2 minutes in front of each food box, then the MCU restarts the conveyor belt according to the clock, the food box reaches the bottom of the next food box, and the steps are repeated to complete the automatic food preparation of all the dishes in the user order.
4) After the meal distribution is completed, the meal box reaches the automatic capping area, the MCU control system sends a pause instruction to the conveyor belt and sends a capping instruction to the mechanical arm in the capping area, and after the meal box is completed, the MCU control system starts the conveyor belt and sends the meal box to the waiting area.
At this point, the automatic catering process ends.
A meal-taking flow chart according to an embodiment of the present application is described in detail below in conjunction with fig. 8.
As shown in the drawings, in the figures,
1) get meal personnel and arrive the restaurant, show and get meal two-dimensional code, the order code after will resolving is passed to the PC who meets the order system to the bar code, and the PC uploads the order code private cloud and matches to cutlery box RFID _ ID, and private cloud passes through wiFi and gets meal instruction and cutlery box RFID _ ID to MCU control system transmission.
2) After receiving the meal taking instruction, the MCU control system sends a lunch box RFID _ ID to the high-frequency RFID reader, and the RFID positioning software acquires the spatial position information of the semi-active RID tag and transmits the spatial information to the meal taking manipulator, so that the meal taking manipulator issues a lunch box grabbing instruction.
3) After the meal taking manipulator receives the meal box grabbing instruction, according to the meal box RFID spatial information, the meal box grabbing is completed, and the meal taking window is sent to, so that the meal taking is completed.
4) The meal taking personnel receives the meal boxes, marks the meal box received in the list sending system and enters the logistics delivering process.
At this point, the meal taking process is finished, thereby finishing the whole ordering process.
The automated catering process of the present application is further described below in conjunction with the detailed description.
Remote ordering and ordering are implemented by the user A through the ordering APP. And after the user A places an order, the remote ordering system broadcasts the order information on the order dispatching platform. When a certain express delivery person finishes receiving the order (or the user selects to take the order), the mobile phone number and the current position information of the express delivery person are synchronously uploaded to the order dispatching platform. The order delivery platform confirms that the order has been picked up by the courier. Then, reading the acceleration X in the X horizontal direction reported by the mobile phone mobile accelerator according to the mobile phone number of the meal taking personiThe read period is 0.1 s. From acceleration>0, continuously collecting for 20 seconds, and obtaining the average moving speed X of the mobile phone in the X direction by the meal taking personnelPX-direction value X of sigma mobile phone acceleration sensori*0.1s/n
i＝1(n＝100,200,300...)
The platform obtains the path which the meal taker may pass and the distance L from the restaurant by the mobile phone positioning information of the meal taker and combining a big data path selection algorithm (which has many known algorithms in the field), thereby calculating the time when the meal taker probably reaches the meal taking point
Tg＝L÷XP。
The remote ordering platform sends the time point TgAnd the mobile phone number of the meal taking personnel and the order information of the user are transmitted to an order receiving system of the restaurant together.
The restaurant order taking system receives the user order information (including order number and dish ID), the mobile phone number of the meal taker and the approximate arrival time TgAnd reporting the local private cloud. Private cloud to Td＝Tg-10min as the meal start time for this order. And then the system inquires a local database according to the ID of the order dish to match the ID of the mechanical arm of the automatic food adding box corresponding to the ID of the dish. Private cloud system clock at TdAnd when the time is up, sending a food preparation starting instruction to the MCU control system through the WIFI.
And after receiving a food preparation starting instruction of the PC serial port, the MCU control system sends a starting command to the conveyor belt, and the empty lunch box reaches the front of the semi-active RFID tag machine through the conveyor belt. After marking is automatically finished, the RFID tag management system sends the RFID tag ID of the lunch box to the private cloud through WIFI, and the private cloud binds the RFID tag ID and the order number of the current catering according to the first-in first-out sequence.
The empty lunch box marked with the RFID tag is sent to the bottom of the lunch box body through the conveyor belt, when the near-field distance is smaller than 12cm, the low-frequency RFID reader at the bottom of the lunch box body is triggered to read the RFID tag ID of the lunch box, the low-frequency RFID reader sends the device ID and the lunch box RFID ID of the low-frequency RFID reader back to the private cloud through the WIFI port of the low-frequency RFID reader, and the private cloud sends a conveyor belt pause instruction to the MCU control system.
And the private cloud judges whether dishes in the dining box body where the current lunch box is located are in the order according to the equipment ID of the low-frequency RFID reader. And if so, the WIFI manipulator ID and the forward movement position information corresponding to the food adding box body are issued to the MCU control system. MCU control system issues drive instruction to the WIFI manipulator, after the instruction was received to the WIFI manipulator, send the NFC card of manipulator front end to current location with meal case back NFC induction zone, open the bottom valve, according to meal case predetermined with meal time window value (such as, 60s), accomplish the injection food to the cutlery box, the manipulator successfully accomplishes the notice to the spy action before the MCU control system passback, MCU sends reset instruction to the manipulator after receiving, the NFC card leaves box back induction zone, the valve is closed.
And according to the clock setting of the private cloud, the meal in front of each box body stays for 2 minutes, the MCU restarts the conveyor belt according to the clock, the lunch box reaches the bottom of the next meal box body, and the steps are repeated to complete the automatic catering of all dishes in the user order. After the distribution is completed, the lunch box reaches the automatic capping area, the private cloud sends a conveyor belt pause instruction to the MCU control system, the capping manipulator sends a capping instruction, and after the completion, the private cloud starts a conveyor belt instruction to the MCU control system again, and sends the lunch box to the waiting area.
After the meal taking personnel arrive at a restaurant, the meal taking two-dimensional code is scanned through the infrared code scanner to analyze an order code, the order code is transmitted to a PC of the order receiving system, and the PC reports the order code to the private cloud. The private cloud inquires the corresponding lunch box RFID tag ID in the cloud database and sends a meal fetching instruction and the RFID tag ID information to the MCU control system. After receiving the meal taking instruction, the MCU control system triggers the high-frequency RFID reader to read the space information of the meal box corresponding to the semi-active RFID tag ID, and transmits the space information to the meal taking mechanical arm, and the meal taking mechanical arm finishes grabbing of the meal box and sending the meal taking window according to the RFID space information of the meal box, and finishes meal taking.
According to the technical scheme, the remote ordering system is improved, the traditional acceleration of a mobile phone accelerator sensor of a meal taking person is changed into the acceleration of the mobile phone accelerator sensor through GPS satellite positioning on the side of a meal dispatching platform, and the time point at which the meal taking person possibly arrives is calculated and is transmitted to a restaurant order receiving module. Therefore, the restaurant starts to issue the automatic catering process within a preset time (for example, 10 minutes) before the arrival time of the meal taker. The MCU control system carrying the WIFI module and the related devices issues an instruction to paste a semi-active RFID tag on the meal box, the meal box is bound with the meal taking two-dimensional code, meanwhile, the meal box is judged to reach the bottom of the meal box through a low-frequency signal of the semi-active RFID tag, the WIFI manipulator is driven to move forward to an NFC induction area of the meal box, a valve at the bottom of the meal box is opened, and automatic meal distribution is completed.
Therefore, when the meal taking personnel arrive, the two-dimensional code of the meal taking is displayed and can be matched with the RFID label ID of the meal box after being read by the code scanner, the high-frequency RFID reader is used for reading the position information of the high-frequency signal of the semi-active RFID label of the meal box, the space information of the meal box is transmitted to the manipulator, and the manipulator is used for positioning, grabbing the meal box and then sending the meal box to the meal taking window to finish automatic meal box pushing.
In the aspect of the technology, current group's platform system and restaurant system of receiving orders have been reformed transform, change traditional through GPS satellite positioning into through the platform side and read cell-phone acceleration of movement and obtain and build the private cloud in arrival time shop module and the restaurant, MCU control system, NFC card induction system, semi-active RFID tag system, high low frequency RFID reader, the RFID locator, soft such as WIFI manipulator and infrared two-dimensional code bar code scanner, hardware, solved current long-range system of ordering and can't know in advance that get meal personnel reach the time and too early or too late to prepare a meal, can't control long lead to getting meal personnel to queue up waiting for pain point such as piling up of meal.
In the aspect of operation, an algorithm for obtaining the acceleration of the mobile phone acceleration sensor of the meal taking personnel and selecting the approximate rate arrival time is carried out on the platform side, and no obvious perception is provided for the ordering user and the meal taking personnel. The catering machine is characterized in that the catering shop issues a catering instruction to the MCU control system and the catering box body machine carrying the NFC induction valve through a private cloud, the manipulator is driven to grab the lunch box by pasting a semi-active RFID tag on the lunch box and reading the spatial position of the high-frequency signal of the semi-active RFID tag, and the whole journey reaches the situation that no person participates (except the catering box for loading food), so that the safety and the sanitation of the catering flow are greatly guaranteed, and the catering machine is full-automatic and fast.
Moreover, the application range is wide, and the application scenarios are multiple. The system can be accessed to be implemented by catering service organizations such as company canteens, community canteens and campus canteens, as well as peripheral fast food restaurants and beverage shops which use standardized quantitative catering of the remote ordering system. And the meal fetching personnel can be expanded to the ordering user. The method and the system can provide a complete set of software and hardware systems for creating the digital community and the digital school district, thereby enriching the service connotation of the digital community and providing a reference-capable technical implementation mode for improving the digital life experience at present.
In summary, compared with the catering scheme existing in the prior art, the main advantages of the technical scheme of the present application are as follows.
First, it is well known that in the prior art, for a restaurant using a remote meal ordering platform, the arrival time of a meal retriever cannot be known, so that the meal distribution time cannot be controlled. Compared with the existing mainstream remote ordering system, the mobile acceleration of the mobile phone of the meal taking person is obtained through the cloud, the network and the terminal, and the time point when the meal taking person probably reaches the restaurant can be calculated more accurately by combining with a big data optimal path algorithm. Thereby avoiding the restaurant from starting the catering too early or too late. The problem that the restaurant is too early to prepare food at night is avoided, the temperature of the food is proper, and the user experience of the ordering person is improved.
And secondly, issuing an automatic food preparation instruction to the MCU control system through clock control of a private cloud of the restaurant, and automatically opening a food adding box machine valve through NFC card induction to realize unmanned automatic food preparation.
Thirdly, the meal box can be automatically grabbed by the manipulator and pushed to the meal taking port by pasting the semi-active RFID tag on the meal box and reading the spatial position of the high-frequency signal of the RFID tag.
Fourthly, compared with the prior art, the scheme of the application can realize regular and quantitative catering to the restaurant for standardized catering, no personnel participates in the whole process, safety and sanitation are realized, and the possibility of virus pollution to dishes is reduced particularly in the epidemic situation.
Fifthly, compared with other wireless positioning chip materials (such as WIFI, BLE, ultra wideband uwb, and active RFID), the cost is low and the applicability is achieved. In addition, the precision of the high-frequency signal positioning technology of the semi-active RFID is greatly improved compared with that of a pure passive RFID (a common passive RFID label can report only a near-field distance) in the prior art. The unique dual-frequency signal of semi-active RFID can report near field distance (12 cm, for example) simultaneously in low frequency range (several hundred khz) to and accurate location (through arranging a plurality of RFID locators and combining positioning software, can reach centimetre level's spatial localization) in high frequency range (2.4G) far field (20 meters), thereby not only realized that the cutlery box reachs the accurate positioning (near field) of box bottom of addicting, and manipulator accuracy snatchs cutlery box (far field).
And, compare with the common method that reads cutlery box code, analysis and compare the back and reposition the cutlery box one by one through the camera scanning, the semi-active RFID label that this patent adopted can realize reacing the cutlery box positional information of appointed label ID from a heap RFID label cutlery box fast, and semi-active RFID label greasy dirt waterproof characteristic is more fit for catering kitchen application scene, and is more swift effective.
Sixthly, the platform side of the existing ordering system is slightly changed. For example, the platform side of the existing remote food ordering system does not need to be changed greatly, and only the average moving speed calculation module and the arrival time calculation module need to be loaded, wherein the average moving speed calculation module calculates the average moving speed according to the acceleration transmitted by the mobile phone moving accelerator of the food taking personnel, and the arrival time calculation module calculates the high-probability arrival time according to the position information.
Seventhly, the platform side of the existing ordering system is slightly changed. Through the manipulator of carrying on the NFC card at box back installation NFC inductor of addding and configuration front end, spy the NFC card response by the manipulator and open the addding valve, realize that the food preparation need not artifical the participation, safety and sanitation reduces the cross infection risk. On the other hand, the bottom valve of the food adding box body machine is controlled to be opened by using low-frequency RFID near-field signal area reading and NFC card induction technology, so that the food box can be opened only when arriving, and dishes can be added quantitatively, safety and sanitation are achieved, subjective uncontrollable food distribution quantity of personnel is avoided, complaint disputes are reduced, and service quality can be improved.
Eighth, there is little change to the restaurant side. A private cloud server is only needed to be additionally installed in a restaurant, an MCU control system is externally connected, the food adding machine with a valve at the bottom, the conveying belt, the RFID label pasting and the mechanical arm can be provided in a whole set, and the food adding machine can be put into use after being installed at a door. Therefore, the application range is very wide, and a large amount of labor cost can be saved.
Ninth, compare with current common dinner plate mode through embedded NFC card or RFID card, semi-active RFID label technique is adopted to this application, need not to change current cutlery box material. The semi-active RFID label marks cutlery box through automatic labeler, and is swift convenient, has reduced use cost.
The previous description is provided to enable any person skilled in the art to practice the various aspects described herein. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects. Thus, the claims are not intended to be limited to the aspects shown herein, but is to be accorded the full scope consistent with the language claims, wherein reference to an element in the singular is not intended to mean "one and only one" (unless specifically so stated) but rather "one or more". The term "some" means one or more unless specifically stated otherwise. A phrase referring to "at least one of a list of items refers to any combination of those items, including a single member. By way of example, "at least one of a, b, or c" is intended to encompass: at least one a; at least one b; at least one c; at least one a and at least one b; at least one a and at least one c; at least one b and at least one c; and at least one a, at least one b, and at least one c. All structural and functional equivalents to the elements of the various aspects described throughout this disclosure that are known or later come to be known to those of ordinary skill in the art are expressly incorporated herein by reference and are intended to be encompassed by the claims. Moreover, nothing disclosed herein is intended to be dedicated to the public regardless of whether such disclosure is explicitly recited in the claims.

Claims (10)

1. An automatic meal-preparing method based on a mobile phone mobile accelerator and a semi-active RFID (radio frequency identification) and NFC (near field communication) technology comprises the following steps:
after the merchant receives the order information, the estimated arrival time T based on the meal fetching personnelgIssuing a food matching instruction;
automatically catering is completed based on the order information by reading a low-frequency RFID signal on a semi-active RFID label on the empty lunch box;
and when the meal fetching personnel arrive, the automatic meal fetching is completed by reading the high-frequency RFID signal on the semi-active RFID tag.
2. The automated meal assembly method of claim 1, wherein the estimated arrival time is calculated based on a cell phone number of the meal taker and current location information, wherein the cell phone number is used to calculate an average moving speed of the meal taker.
3. The automated catering method according to claim 1, wherein the merchant is at a distance T from the estimated time of arrivalgTime T before predetermined timedIssuing the catering instruction, wherein the preset time is set by the merchant based on the order information.
4. The automated catering method according to claim 1, wherein the automated catering is achieved by:
when the empty lunch box reaches the automatic lunch box body, a low-frequency RFID reader arranged at the bottom reads the low-frequency RFID signal and uploads the equipment ID of the low-frequency RFID signal;
controlling a meal preparation robot based on the device ID and the order information to implement the automatic meal preparation.
5. The automated catering method according to claim 1, wherein the automated meal fetching is achieved by:
when the meal taking personnel arrive at the commercial tenant, scanning a meal taking two-dimensional code and matching the meal taking two-dimensional code with the semi-active RFID label;
and acquiring the current position of the prepared meal box based on the high-frequency RFID signal on the semi-active RFID label and controlling a meal taking manipulator to automatically take the meal.
6. The automatic catering method according to claim 4, wherein the catering manipulator controls the automatic catering box through NFC technology to realize automatic catering.
7. The automatic catering method according to claim 6, wherein the catering manipulator controls the opening time of the bottom of the automatic catering box body through a system universal clock sequence technology to realize the automatic catering.
8. The automated catering process of claim 1, wherein a semi-active RFID tag machine is used to affix the semi-active RFID tag on the empty meal box.
9. Automated catering system according to the automated catering method according to one of the preceding claims, the system comprising:
a remote ordering module comprising an average moving speed calculating module for calculating the average moving speed of the meal taking personnel and an estimated arrival time calculating module for calculating the estimated arrival time Tg；
The cloud module is used for calculating the starting time of automatic catering, storing information related to automatic catering and issuing related instructions;
the MCU control module is used for receiving an instruction from the cloud module to control the automatic catering; and
and the semi-active RFID labeling machine is used for pasting a semi-active RFID label on the empty meal box, wherein the semi-active RFID label comprises a low-frequency RFID signal and a high-frequency RFID signal, the RFID signal is used for completing automatic meal preparation, and the high-frequency RFID signal is used for completing automatic meal taking.
10. The automated catering system of claim 9, wherein the cloud module is a merchant private cloud and the operational management mode is different from the existing public cloud centralized operational management mode.
CN202111104694.XA 2021-09-18 2021-09-18 Automatic meal preparation method and system based on mobile accelerator, semi-active RFID and NFC Pending CN113850354A (en)

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CN102982382A (en) * 2012-10-30 2013-03-20 符伟 Self-help meal ordering and storing and taking system
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