CN112163712A - Catering processing method and device, storage medium and catering system - Google Patents
Catering processing method and device, storage medium and catering system Download PDFInfo
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Abstract
The invention discloses a catering processing method, a catering processing device, a storage medium and a catering system. Wherein, the method comprises the following steps: acquiring a target order to be prepared; inputting a target order into a time estimation model to output a catering time estimation result matched with the target order, wherein the time estimation model is a decision model for estimating the catering time required by the order, which is obtained by carrying out multiple times of training by using a sample order; determining a sheet splitting result matched with the target order according to the estimated result of the catering time, and splitting the target order into a plurality of sub-orders according to the sheet splitting result when the target order reaches the sheet splitting condition; under the condition that the target order does not reach the order splitting condition, splitting the order result into a reserved target order; and storing the target order into an order processing queue according to the order splitting result so that the food preparation system performs food preparation processing operation according to the order processing queue. The invention solves the technical problem of low catering processing efficiency caused by incapability of reasonably arranging catering time in the related art.
Description
Technical Field
The invention relates to the technical field of voice processing and recognition, in particular to a catering processing method, device, storage medium and catering system.
Background
The use of mechanical arms for catering has been gradually applied to the fast food field, and in the related art, the catering link is mainly completed by matching a plurality of mechanical arms with a conveying device. In fast food dining halls with more types of food, particularly in the peak time of catering, with the influx of a large number of orders, the catering completion time cannot be well estimated in the related technology, large orders (namely orders with more dishes and more complex dishes) can be reasonably decomposed, and the mechanical arm cannot be controlled to arrange the priority of order processing. Therefore, how to arrange the catering time scientifically and reasonably becomes a technical problem to be solved urgently at present.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a catering processing method, a device, a storage medium and a catering system, which at least solve the technical problem of low catering processing efficiency caused by unreasonable arrangement of catering time in the related art.
According to an aspect of an embodiment of the present invention, there is provided a recipe processing method, including: acquiring a target order to be prepared; inputting the target order into a time estimation model to output a meal matching time estimation result matched with the target order, wherein the time estimation model is a decision model for estimating the meal matching time required by the order, which is obtained by performing multiple times of training by using a sample order; determining a list splitting result matched with the target order according to the estimated result of the catering time, wherein the list splitting result is to split the target order into a plurality of sub-orders under the condition that the target order reaches a list splitting condition; when the target order does not reach the order splitting condition, the order splitting result is to reserve the target order; and storing the target order into an order processing queue according to the splitting result so that the catering system carries out catering processing operation according to the order processing queue.
According to another aspect of the embodiments of the present invention, there is also provided a method and an apparatus for processing a meal, including: the first obtaining unit is used for obtaining a target order to be processed by food preparation; the first processing unit is used for inputting the target order into a time estimation model so as to output a meal-matching time estimation result matched with the target order, wherein the time estimation model is a decision model which is obtained by utilizing a sample order to carry out multiple times of training and is used for estimating the meal-matching time required by the order; a first determining unit, configured to determine, according to the meal matching time estimation result, a splitting result of the target order matching, where the splitting result is to split the target order into a plurality of sub-orders when the target order reaches a splitting condition; when the target order does not reach the order splitting condition, the order splitting result is to reserve the target order; and the second processing unit is used for storing the target order into an order processing queue according to the splitting result so as to enable the catering system to carry out catering processing operation according to the order processing queue.
According to still another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the recipe processing method when running.
According to another aspect of the embodiments of the present invention, there is also provided a meal preparation system, including an arm device, a memory and a processor, wherein the arm device is used for performing meal preparation processing operations, the memory stores a computer program, and the processor is configured to execute the meal preparation processing method through the computer program.
In the embodiment of the invention, a target order to be processed by food preparation is obtained; inputting a target order into a time estimation model to output a catering time estimation result matched with the target order, wherein the time estimation model is a decision model for estimating the catering time required by the order, which is obtained by utilizing a sample order to carry out multiple times of training; determining a sheet splitting result matched with the target order according to the estimated result of the catering time, wherein the sheet splitting result is to split the target order into a plurality of sub-orders under the condition that the target order reaches the sheet splitting condition; under the condition that the target order does not reach the order splitting condition, splitting the order result into a reserved target order; and storing the target order into an order processing queue according to the order splitting result so that the catering system processes the catering time according to the order processing queue to carry out catering processing operation. The method and the device have the advantages that the prediction result of the catering time matched with the target order is obtained by using the time prediction model, the splitting result is determined according to the prediction result of the catering time, the purpose that the catering system reasonably processes the catering time according to the splitting result is achieved, the catering processing efficiency is improved, the technical effects of splitting orders and processing the orders according to the order priority are achieved, and the technical problem that the catering processing efficiency is low due to the fact that the catering time cannot be reasonably arranged in the related technology is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a schematic diagram of an application environment of an alternative recipe processing method according to an embodiment of the invention;
FIG. 2 is a schematic diagram of an environment in which an alternative recipe processing method according to an embodiment of the invention may be applied;
FIG. 3 is a schematic diagram of a flow of an alternative recipe processing method according to an embodiment of the invention;
FIG. 4 is a schematic diagram of the flow of another alternative recipe processing method according to an embodiment of the invention;
FIG. 5 is a schematic diagram of an alternative meal preparation processing apparatus according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an alternative catering system according to an embodiment of the invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an aspect of the embodiments of the present invention, a recipe processing method is provided, and optionally, as an optional implementation manner, the recipe processing method may be applied to, but not limited to, an environment as shown in fig. 1.
In fig. 1, a meal distribution terminal 104 is responsible for human-computer interaction with a user 102, and the meal distribution terminal 104 includes a memory 106, a processor 108 and a display 110; meal distribution terminal 104 may interact with backend server 114 via network 112. Server 114 includes database 116 and processing engine 118; the first terminal device 120 and the second terminal device 122 interact with the database 116 through the network 112, the first terminal device 120 and the second terminal device 122 can obtain a target order for a customer to order, and both the first terminal device 120 and the second terminal device 122 are communication terminal devices with wireless communication modules. The food preparation terminal 104, the first terminal device 120 and the second terminal device 122 may send a target order request to be processed for food preparation to the server 114, and the server 114 inputs the target order into the time estimation model to output a food preparation time estimation result matching the target order, and stores the target order into an order processing queue according to the splitting result, so that the food preparation system performs food preparation processing operation according to the order processing queue.
Optionally, in this embodiment, the meal distribution terminal 104 may be a terminal device configured with a target server, the first terminal device 120 and the second terminal device 122 may be terminal devices configured with a target client, and the meal distribution terminal 104, the first terminal device 120, and the second terminal device 122 may include, but are not limited to, at least one of the following: mobile phones (such as Android phones, iOS phones, etc.), notebook computers, tablet computers, palm computers, MID (Mobile Internet Devices), PAD, desktop computers, smart televisions, etc. The target client may be a video client, an instant messaging client, a browser client, an educational client, etc. The target server can be a video server, an instant messaging server, a browser server, an education server, and the like. Such networks may include, but are not limited to: a wired network, a wireless network, wherein the wired network comprises: a local area network, a metropolitan area network, and a wide area network, the wireless network comprising: bluetooth, WIFI, and other networks that enable wireless communication. The server may be a single server, a server cluster composed of a plurality of servers, or a cloud server. The above is merely an example, and this is not limited in this embodiment.
As another example, the recipe processing method described above in the present application may be applied to fig. 2. In fig. 2, the food preparation system further includes a mechanical arm device 224, the food preparation terminal 204 is responsible for human-computer interaction with the user 202, and the food preparation terminal 204 includes a memory 206, a processor 208 and a display 210; meal distribution terminal 204 may interact with backend server 214 via network 212. Server 214 includes database 216 and processing engine 218; the first terminal device 220, the second terminal device 222 and the robot arm device 224 interact with the database 216 through the network 212, the first terminal device 120 and the second terminal device 122 can obtain a food ordering order of a customer, the first terminal device 220 and the second terminal device 222 are both communication terminal devices with wireless communication modules, and the robot arm device 224 is also provided with a wireless communication module. The food preparation terminal 204, the first terminal device 220 and the second terminal device 222 may send a target order request to be processed for food preparation to the server 214, and the server 214 inputs the target order into the time estimation model to output a food preparation time estimation result matching the target order, and stores the target order into an order processing queue according to the order splitting result, so that the robot arm device 224 performs food preparation processing operation according to the order processing queue.
Optionally, in this embodiment, the meal preparation terminal 204 may be a terminal device configured with a target server, the first terminal device 220 and the second terminal device 222 may be terminal devices configured with a target client, and the meal preparation terminal 204, the first terminal device 220, and the second terminal device 222 may include, but are not limited to, at least one of the following: mobile phones (such as Android phones, iOS phones, etc.), notebook computers, tablet computers, palm computers, MID (Mobile Internet Devices), PAD, desktop computers, smart televisions, etc. The target client may be a video client, an instant messaging client, a browser client, an educational client, etc. The target server can be a video server, an instant messaging server, a browser server, an education server, and the like. Such networks may include, but are not limited to: a wired network, a wireless network, wherein the wired network comprises: a local area network, a metropolitan area network, and a wide area network, the wireless network comprising: bluetooth, WIFI, and other networks that enable wireless communication. The server may be a single server, a server cluster composed of a plurality of servers, or a cloud server. The wireless communication module in the arm device 224 may be a bluetooth module, a WIFI module, or a Zigbee module, which is only an example, and the present embodiment is not limited thereto.
Optionally, as an optional implementation manner, as shown in fig. 3, the recipe processing method includes:
s302, obtaining a target order to be processed by food preparation;
s304, inputting the target order into a time estimation model to output a catering time estimation result matched with the target order, wherein the time estimation model is a decision model for estimating the catering time required by the order, which is obtained by performing multiple times of training by using the sample order;
s306, determining a list splitting result matched with the target order according to the estimated result of the catering time, wherein the list splitting result is that the target order is split into a plurality of sub-orders under the condition that the target order reaches the list splitting condition; under the condition that the target order does not reach the order splitting condition, splitting the order result into a reserved target order;
and S308, storing the target order into an order processing queue according to the order splitting result so that the food preparation system performs food preparation processing operation according to the order processing queue.
In step 302, a target order to be prepared may be obtained through the dish information input by the preparation server or the dish information input by the ordering client on the terminal device, for example, in a dining room, the dish information selected by the client may be input on the ordering device by a front-end operator, or the ordering client may select a dish to prepare an order through a mobile phone client, or the ordering client may input a dish at home through a mobile phone client or a computer client to prepare an order, and then the order is sent to the preparation system through a network.
In step 304, the target order is input into the time estimation model to output an estimated result of meal preparation time matched with the target order, for example, meal ordering orders of different customers are input into the time estimation model according to order placing time, the time estimation model calculates time from cooking of the current order to grabbing of each cooked dish by the mechanical arm according to cooking time of each dish in the current order and time for grabbing each cooked dish by the mechanical arm, and then the estimated result of meal preparation time of the current order is obtained. The time estimation model may include, but is not limited to, an XGBOOST algorithm model, etc., and is not limited thereto.
In step 306, determining a list splitting result matched with the target order according to the estimated result of the catering time, and splitting the target order into a plurality of sub-orders according to the list splitting result when the target order reaches the list splitting condition; for example, when the number of dishes in the target order is greater than a preset value, the making time of part of the dishes in the plurality of dishes is greater than the preset value, or the total making time of the dishes in the target order exceeds the preset value, the target order can be split into a plurality of sub-orders. Under the condition that the target order does not reach the order splitting condition, splitting the order result into a reserved target order; for example, when the number of dishes in the target order is smaller than a preset value, the making time of a part of dishes in the plurality of dishes is smaller than the preset value, or the total making time of the dishes in the target order is smaller than the preset value, the target order does not need to be disassembled.
In step 308, the target order is stored in the order processing queue according to the order splitting result, so that the catering system performs catering processing operation according to the order processing queue. For example, a plurality of ordering clients initiate orders within a period of time, the catering system processes the orders of the plurality of ordering clients, judges whether the orders in the different orders need to be torn down, then stores the results of tearing down the orders and the order placing time of the ordering clients into an order processing queue, and controls the mechanical arm device to process the orders at regular time according to the order processing queue.
The method and the device have the advantages that the estimated result of the catering time matched with the target order is obtained by using the time estimation model, and the order dismantling result is determined by using the estimated result of the catering time, so that the purpose of reasonably processing the catering time by the catering system according to the result of the order dismantling is achieved, the technical effects of improving the catering processing efficiency, decomposing the order and processing the order according to the order priority are achieved, and the technical problem of low catering processing efficiency caused by the fact that the catering time cannot be reasonably arranged in the related technology is solved.
In an embodiment, step S306 includes acquiring dish status information of each dish in the target order when the meal matching time estimation result reaches the order splitting time condition; under the condition that the dish state information reaches the order splitting state condition, determining that the target order reaches the order splitting condition, and splitting the target order into a plurality of sub-orders; and under the condition that the estimated result of the catering time does not reach the order splitting time condition or the dish state information does not reach the order splitting state condition, determining that the target order does not reach the order splitting condition, and reserving the target order. Here, the status information of the dishes may include, but is not limited to, the number of dishes, the preparation time of an individual dish, and the total preparation time of the dishes included in the target order. When the meal preparation time of the target order (i.e. the sum of the total making time of dishes in the target order and the time for grabbing each dish through the mechanical arm) is greater than a preset value, whether dish information contained in the target order reaches a state of order splitting is judged, for example, the total number of dishes contained in the target order is greater than the preset value, whether each dish contains a dish with a relatively complicated making time and a relatively long cooking time, and the like. Therefore, the manufacturing duration of each order can be accurately analyzed and the manufacturing sequence can be reasonably arranged according to the target orders of different ordering users, and the experience degree of the ordering user is improved.
In an embodiment, before obtaining the dish status information of each dish in the target order, the method further includes: under the condition that the total catering time in the catering time estimation result is greater than or equal to the target duration, determining that the catering time estimation result reaches a list dismantling time condition; or determining that the predicted catering time result reaches the order dismantling time condition under the condition that the total catering time in the predicted catering time result is greater than or equal to the average catering duration of the store generating the target order. For example, if the total catering time of the estimated catering time of the target order is 30 minutes and the target time length is set to 20 minutes, it is determined that the current target order reaches the strip splitting condition; or the total catering time of the estimated catering time of the target order is 1 hour, the average catering time of the store of the target order is 30 minutes, and the rule set by the catering system is that when the total catering time of the current target order exceeds the average catering time of the store by more than or equal to 20 percent, the current target order is determined to reach the detached item.
In an embodiment, after acquiring the dish status information of each dish in the target order, the method further includes: under the condition that the dish state information indicates that the number of dishes in the target order is greater than or equal to a first preset dish number, determining that the dish state information reaches a condition of a dish splitting state; or under the condition that the dish state information indicates that the number of the dishes for which the meal preparation is finished is larger than or equal to the second preset number of the dishes, determining that the dish state information reaches the order splitting state condition. For example, if the number of the first preset dishes is 5 and the number of the dishes in the current target order is 7, it is determined that the dish state information reaches the order splitting state condition, or if more than 20% of the dishes in the dish state information are already made, that is, the meal preparation time is 0, and when the dishes are directly picked by the mechanical arm device, it is determined that the current target order reaches the order splitting state.
In an embodiment, splitting the target order into a plurality of sub-orders comprises: combining different dishes in the target order to obtain a plurality of candidate combined orders corresponding to the target order, wherein each candidate combined order comprises at least two sub-orders; calculating the total catering time of the candidate combined orders, and taking the candidate combined order with the shortest total catering time as a target catering combined order; and splitting the target order into a plurality of sub-orders according to the grouping in the target catering combined order. For example, when the target order meets the splitting condition, the catering system determines the number of split target orders in advance, when the target order is split into 2 orders, the catering system can adopt a step-by-step removing method to gradually put dishes with too long catering time into another group, and after the step-by-step removing method is executed for multiple times, the total catering time of different groups of the 2 orders is respectively calculated and split, so that the combination with the shortest total catering time of the split order group is obtained. Therefore, the catering duration of dishes in the target order can be shortened, and the catering efficiency is improved.
In one embodiment, step S304 includes: extracting order features of the target order and delivery features of a mechanical arm device for executing a catering process through a time prediction model, wherein the order features comprise at least one of the following: order attribute characteristics of the target order, dish making characteristics of the target order, and order expression characteristics of stores generating the target order; the delivery characteristics include at least one of: the method comprises the steps that dish characteristics of dishes to be delivered in a target order, attribute characteristics of a mechanical arm device and transmission characteristics of a transmission device related to a mechanical arm are obtained; and integrating and analyzing the order characteristics and the delivery characteristics to estimate the estimated result of the meal preparation time matched with the target order. For example, order attribute characteristics include, but are not limited to, number of dishes, type of dishes, store to which it belongs, city, total price of the order, time of meal served, etc.; the making characteristics of the dishes comprise but are not limited to the quantity of the dishes in the contemporaneous order, the number of the dish types, the total amount of the order, the quantity of the same types as the current order and the like; order performance characteristics of a store include, but are not limited to, a target order amount or store average order total, store order category number, average total number of dishes, store average meal preparation time, etc. The dish features include, but are not limited to, dish weight, dish type, dish shape, dish volume, etc., the attribute features of the robot arm device include, but are not limited to, number of robot arm devices, grasping manner, shortest path between the robot arm device and the target dish, and robot arm device operating speed, and the transfer features of the transfer device include, but are not limited to, transfer device operating speed, total transfer distance, and robot arm device target grasping range, for example, when a catering basket is within 1m from the robot arm device, the robot arm device grasps the catering basket.
In one embodiment, the performing an integrated analysis of the order characteristics and the delivery characteristics to estimate a meal delivery time estimate matching the target order comprises: analyzing and processing the order characteristics through a first multi-decision tree model contained in the time estimation model to obtain the meal preparation time corresponding to the target order; analyzing and processing the distribution characteristics through a second multi-decision tree model contained in the time estimation model to obtain the distribution time corresponding to the target order; superposing the meal preparation time and the delivery time to obtain the total meal preparation time of the target order; and taking the meal preparation time, the delivery time and the total meal preparation time as the estimated result of the meal preparation time. For example, the first multi-decision tree model included in the time-based estimation model analyzes and processes the order features to obtain the meal preparation time corresponding to the target order, and may be a first multi-decision tree model (XGBOOST model) trained according to historical order data within a certain time period (e.g. 30 days) to obtain a corresponding relationship between the target order and the actual meal preparation completion time: training features include, but are not limited to: order characteristics of the target order and delivery characteristics of the robotic arm assembly used to perform the catering process, for example, order attribute characteristics including, but not limited to, number of dishes, type of dishes, store to which the order belongs, city, total price of the order, time of meal taken, etc.; the making characteristics of the dishes comprise but are not limited to the quantity of the dishes in the contemporaneous order, the number of the dish types, the total amount of the order, the quantity of the same types as the current order and the like; order performance characteristics of the store include, but are not limited to, target order amount or store average order total, store order category number, average total number of orders, store average meal preparation time, etc.;
the delivery time corresponding to the target order can be acquired by acquiring historical order data according to a mechanical arm device grabbing experiment and training a second multi-decision tree model (XGBOST), and the characteristics include but are not limited to the number of dishes in the current order, the number of types of dishes, the total amount of the order, the number of types of the same as the current order and the like; order performance characteristics of a store include, but are not limited to, a target order amount or store average order total, store order category number, average total number of dishes, store average meal preparation time, etc. The dish characteristics include, but are not limited to, dish weight, dish type, dish shape, dish volume, and the like, the attribute characteristics of the robot arm device include, but are not limited to, the number of robot arm devices, the gripping manner, the shortest path between the robot arm device and the target dish, the operation speed of the robot arm device, and the transfer characteristics of the transfer device include, but are not limited to, the operation speed of the transfer device, the total transfer distance, and the target gripping range of the robot arm device.
In one implementation, step S304 is preceded by: obtaining a plurality of historical sample orders generated in a target time period; and training the initialized time estimation model by using a plurality of historical sample orders until the time estimation model with the training result reaching the convergence condition is obtained. For example, 100 historical sample orders in a month are obtained, the initialized time estimation model is trained by using a plurality of historical sample orders until the training result reaches the time estimation model which can minimize the delivery time when obtaining the target order.
In one embodiment, storing the target order in the order processing queue according to the order splitting result comprises: updating the catering time estimation result matched with the target order according to the splitting result to obtain an updated catering time estimation result; determining the catering priority of the target order according to the new meal preparation time in the updated catering time estimation result; and storing the target order into an order processing queue according to the catering priority of the target order. In this embodiment, when the target order needs to be disassembled, the updated estimated result of the catering time is obtained according to the estimated result of the catering time corresponding to each sub-order after the target order is disassembled, and the catering priority of the target order is set according to the updated estimated result of the catering time, so that the target order can be reasonably disassembled and the estimated accuracy of the catering time of the target order can be improved.
According to the method and the device, the estimated result of the catering time matched with the target order is obtained by using the time estimated model, and the order splitting result is determined by using the estimated result of the catering time, so that the purpose that the catering system can reasonably process the catering time according to the splitting result is achieved, the technical effects of improving the catering processing efficiency, splitting the order and processing the order according to the order priority are achieved, and the technical problem that the catering processing efficiency is low due to the fact that the catering time cannot be reasonably arranged in the related technology is solved.
Based on the foregoing embodiments, an embodiment of the present invention provides a food preparation processing method, as shown in fig. 4, the method includes, but is not limited to, executing step S402, receiving a target order, executing step S402 after the target order is processed by a food preparation system, estimating food preparation time, robot arm food preparation time, and total food preparation time of the target order, executing step S406 according to a processing result of step S402, determining whether the current target order needs to be disassembled, executing step S408 if the current target order needs to be disassembled, disassembling the current target order, then executing step S412, and shifting to step S406 after re-estimating the food preparation time, robot arm apparatus food preparation time, and total food preparation time of the disassembled target sub-order. If the current target order does not need to be disassembled, executing step S410, and setting the priority of the current target order or the target sub-order according to the meal preparation time; then step S414 is executed, the target order or the target sub-order is stored in an order processing queue, and then step S416 is executed, after the current target order or the target sub-order is prepared, the food preparation system sends a dish grabbing instruction to the mechanical arm device.
According to the method and the device, the estimated result of the catering time matched with the target order is obtained by using the time estimated model, and the order splitting result is determined by using the estimated result of the catering time, so that the purpose that the catering system can reasonably process the catering time according to the splitting result is achieved, the technical effects of improving the catering processing efficiency, splitting the order and processing the order according to the order priority are achieved, and the technical problem that the catering processing efficiency is low due to the fact that the catering time cannot be reasonably arranged in the related technology is solved.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
According to another aspect of the embodiment of the invention, a meal preparation processing device for implementing the meal preparation processing method is also provided. As shown in fig. 5, the apparatus includes:
a first obtaining unit 502, configured to obtain a target order to be processed by a food preparation;
the first processing unit 504 is configured to input a time estimation model into the target order to output a meal matching time estimation result matched with the target order, where the time estimation model is a decision model for estimating the meal matching time required by the order, which is obtained by performing multiple training with the sample order;
a first determining unit 506, configured to determine a splitting result of the target order matching according to the estimated result of the catering time, where the splitting result is to split the target order into multiple sub-orders when the target order reaches the splitting condition; under the condition that the target order does not reach the order splitting condition, splitting the order result into a reserved target order;
and a second processing unit 508, configured to store the target order into the order processing queue according to the splitting result, so that the catering system performs a catering processing operation according to the order processing queue.
In the embodiment of the invention, the target order to be prepared can be obtained through the dish information input by the preparation server or the dish information input by the ordering client on the terminal device, for example, in a meal room, the dish information selected by the client can be input on the ordering device by a front-desk operator, or the ordering client selects the dish to order through a mobile phone client, or the ordering client inputs the dish at home through the mobile phone client or a computer client to order, and then the order is sent to the preparation system through the network.
In the embodiment of the invention, the target order is input into the time estimation model to output the estimated result of the catering time matched with the target order, for example, ordering orders of different customers are input into the time estimation model according to ordering time, the time estimation model calculates the time from the cooking of the current order to the grabbing of each cooked dish by the mechanical arm according to the cooking time of each dish in the current order and the grabbing time of each cooked dish by the mechanical arm, and then the estimated result of the catering time of the current order is obtained. The time estimation model may include, but is not limited to, an XGBOOST algorithm model, etc., and is not limited thereto.
In the embodiment of the invention, the order splitting result matched with the target order is determined according to the estimated result of the catering time, and the order splitting result is to split the target order into a plurality of sub-orders under the condition that the target order reaches the order splitting condition; for example, when the number of dishes in the target order is greater than a preset value, the making time of part of the dishes in the plurality of dishes is greater than the preset value, or the total making time of the dishes in the target order exceeds the preset value, the target order can be split into a plurality of sub-orders. Under the condition that the target order does not reach the order splitting condition, splitting the order result into a reserved target order; for example, when the number of dishes in the target order is smaller than a preset value, the making time of a part of dishes in the plurality of dishes is smaller than the preset value, or the total making time of the dishes in the target order is smaller than the preset value, the target order does not need to be disassembled.
In the embodiment of the invention, the target order is stored in the order processing queue according to the order splitting result, so that the catering system carries out catering processing operation according to the order processing queue. For example, a plurality of ordering clients initiate orders within a period of time, the catering system processes the orders of the plurality of ordering clients, judges whether the orders in the different orders need to be torn down, then stores the results of tearing down the orders and the order placing time of the ordering clients into an order processing queue, and controls the mechanical arm device to process the orders at regular time according to the order processing queue.
According to the method and the device, the estimated result of the catering time matched with the target order is obtained by using the time estimated model, and the order splitting result is determined by using the estimated result of the catering time, so that the purpose that the catering system can reasonably process the catering time according to the splitting result is achieved, the technical effects of improving the catering processing efficiency, splitting the order and processing the order according to the order priority are achieved, and the technical problem that the catering processing efficiency is low due to the fact that the catering time cannot be reasonably arranged in the related technology is solved.
For other examples of this embodiment, reference may be made to the above embodiments, which are not described herein again.
According to a further aspect of the embodiments of the present invention, there is also provided a catering system for implementing the catering processing method, as shown in fig. 6, the catering system includes a memory 602, a processor 604 and a robot arm device 612, the memory 602 stores a computer program, the processor 604 is configured to execute the steps in any of the method embodiments through the computer program, and the robot arm device 612 is configured to receive a grabbing instruction sent by the processor 604.
Optionally, in this embodiment, the catering system may be located in at least one network device of a plurality of network devices of a computer network.
Optionally, in this embodiment, the processor may be configured to execute the following steps by a computer program:
s1, acquiring a target order to be processed by catering;
s2, inputting the target order into a time estimation model to output a catering time estimation result matched with the target order, wherein the time estimation model is a decision model for estimating the catering time required by the order, which is obtained by carrying out multiple times of training by utilizing the sample order;
s3, determining a sheet splitting result matched with the target order according to the estimated result of the catering time, wherein the sheet splitting result is to split the target order into a plurality of sub-orders when the target order reaches the sheet splitting condition; under the condition that the target order does not reach the order splitting condition, splitting the order result into a reserved target order;
and S4, storing the target order into an order processing queue according to the order splitting result, so that the food preparation system performs food preparation processing operation according to the order processing queue.
Alternatively, it can be understood by those skilled in the art that the structure shown in fig. 6 is only an illustration, and the catering system may also be a combination of a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, a Mobile Internet Device (MID), a PAD, etc., and a robot arm device 612. Fig. 6 is a diagram illustrating the configuration of the catering system. For example, the electronics may also include more or fewer components (e.g., network interfaces, etc.) than shown in FIG. 6, or have a different configuration than shown in FIG. 6.
The memory 602 may be configured to store software programs and modules, such as program instructions/modules corresponding to the meal preparation processing method and apparatus in the embodiments of the present invention, and the processor 604 executes various functional applications and data processing by running the software programs and modules stored in the memory 602, that is, implementing the meal preparation processing method. The memory 602 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 602 may further include memory located remotely from the processor 604, which may be connected to the terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof. The memory 602 may be, but not limited to, specifically configured to store information such as dishes of the target order. As an example, as shown in fig. 6, the memory 602 may include, but is not limited to, the first obtaining unit 502, the first processing unit 504, the first determining unit 506, and the second processing unit 508 in the meal preparation processing apparatus. In addition, other module units in the meal preparation processing apparatus may also be included, but are not limited to these, and are not described in detail in this example.
Optionally, the transmitting device 606 is used for receiving or sending data via a network. Examples of the network may include a wired network and a wireless network. In one example, the transmission device 606 includes a Network adapter (NIC) that can be connected to a router via a Network cable and other Network devices to communicate with the internet or a local area Network. In one example, the transmitting device 606 is a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.
In addition, the catering system further comprises: a display 608 for displaying the target order information; and a connection bus 610 for connecting the above-mentioned various module components in the catering system.
In other embodiments, the catering system may be a node in a distributed system, wherein the distributed system may be a blockchain system, and the blockchain system may be a distributed system formed by connecting a plurality of nodes through a network communication. Nodes can form a Peer-To-Peer (P2P, Peer To Peer) network, and any type of computing device, such as a server, a terminal, and other electronic devices, can become a node in the blockchain system by joining the Peer-To-Peer network.
According to a further aspect of an embodiment of the present invention, there is also provided a computer-readable storage medium, in which a computer program is stored, wherein the computer program is arranged to perform the steps in any of the above-mentioned method embodiments when executed.
Alternatively, in the present embodiment, the above-mentioned computer-readable storage medium may be configured to store a computer program for executing the steps of:
s1, acquiring a target order to be processed by catering;
s2, inputting the target order into a time estimation model to output a catering time estimation result matched with the target order, wherein the time estimation model is a decision model for estimating the catering time required by the order, which is obtained by carrying out multiple times of training by utilizing the sample order;
s3, determining a sheet splitting result matched with the target order according to the estimated result of the catering time, wherein the sheet splitting result is to split the target order into a plurality of sub-orders when the target order reaches the sheet splitting condition; under the condition that the target order does not reach the order splitting condition, splitting the order result into a reserved target order;
and S4, storing the target order into an order processing queue according to the order splitting result, so that the food preparation system performs food preparation processing operation according to the order processing queue.
Alternatively, in this embodiment, a person skilled in the art may understand that all or part of the steps in the methods of the foregoing embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing one or more computer devices (which may be personal computers, servers, network devices, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (12)
1. A catering processing method, the method comprising:
acquiring a target order to be prepared;
inputting the target order into a time estimation model to output a meal matching time estimation result matched with the target order, wherein the time estimation model is a decision model for estimating the meal matching time required by the order, which is obtained by performing multiple times of training by using a sample order;
determining a sheet splitting result matched with the target order according to the estimated result of the catering time, wherein the sheet splitting result is to split the target order into a plurality of sub-orders when the target order reaches a sheet splitting condition; when the target order does not reach the order splitting condition, the order splitting result is to reserve the target order;
and storing the target order into an order processing queue according to the splitting result so that the catering system carries out catering processing operation according to the order processing queue.
2. The method of claim 1, wherein the determining the target order matching breakdown from the meal preparation time estimate comprises:
under the condition that the estimated result of the catering time reaches the condition of order dismantling time, acquiring dish state information of each dish in the target order;
under the condition that the dish state information reaches a list splitting state condition, determining that the target order reaches the list splitting piece, and splitting the target order into a plurality of sub-orders;
and under the condition that the estimated result of the catering time does not reach the order splitting time condition or the dish state information does not reach the order splitting state condition, determining that the target order does not reach the order splitting condition, and reserving the target order.
3. The method of claim 2, further comprising, prior to said obtaining dish status information for each dish in the target order:
under the condition that the total catering time in the catering time estimation result is greater than or equal to the target duration, determining that the catering time estimation result reaches the order dismantling time condition; alternatively, the first and second electrodes may be,
and under the condition that the total catering time in the estimated catering time result is greater than or equal to the average catering duration of the store generating the target order, determining that the estimated catering time result reaches the order dismantling time condition.
4. The method of claim 2, wherein after the obtaining the dish status information for each dish in the target order, further comprising:
under the condition that the dish state information indicates that the number of dishes in the target order is greater than or equal to a first preset dish number, determining that the dish state information reaches the order splitting state condition; or under the condition that the dish state information indicates that the number of dishes for which the meal preparation is finished is greater than or equal to a second preset dish number, determining that the dish state information reaches the order splitting state condition.
5. The method of claim 2, wherein the splitting the target order into a plurality of sub-orders comprises:
combining different dishes in the target order to obtain a plurality of candidate combined orders corresponding to the target order, wherein each candidate combined order comprises at least two sub-orders;
calculating the total catering time of the candidate combined orders, and taking the candidate combined order with the shortest total catering time as a target catering combined order;
and splitting the target order into a plurality of sub-orders according to the grouping in the target catering combined order.
6. The method of claim 1, wherein inputting the target order into a time estimate model to output a meal time estimate matching the target order comprises:
extracting order features of the target order and delivery features of a mechanical arm device for executing a catering process through the time estimation model, wherein the order features comprise at least one of the following characteristics: the order attribute characteristics of the target order, the making characteristics of dishes in the target order and the order expression characteristics of stores generating the target order; the delivery characteristics include at least one of: the dish characteristics of the dishes to be delivered in the target order, the attribute characteristics of the mechanical arm device and the conveying characteristics of the conveying device associated with the mechanical arm device;
and performing integrated analysis on the order characteristics and the delivery characteristics to estimate the estimated result of the catering time matched with the target order.
7. The method of claim 6, wherein the performing a consolidated analysis of the order characteristics and the delivery characteristics to predict the meal delivery time prediction for matching the target order comprises:
analyzing and processing the order characteristics through a first multi-decision tree model contained in the time estimation model to obtain meal preparation time corresponding to the target order;
analyzing and processing the distribution characteristics through a second multi-decision tree model contained in the time estimation model to obtain distribution time corresponding to the target order;
superposing the meal preparation time and the delivery time to obtain the total meal preparation time of the target order;
and taking the meal preparation time, the delivery time and the total meal preparation time as the estimated result of the meal preparation time.
8. The method of claim 1, wherein before entering the target order into a time estimate model for outputting a meal time estimate matching the target order, further comprising:
obtaining a plurality of historical sample orders generated in a target time period;
and training the initialized time estimation model by using the plurality of historical sample orders until the time estimation model with the training result reaching the convergence condition is obtained.
9. The method of any of claims 1 to 8, wherein said storing said target order in an order processing queue according to said tear down result comprises:
updating the meal matching time estimation result matched with the target order according to the splitting result to obtain the updated meal matching time estimation result;
determining the catering priority of the target order according to the new meal preparation time in the updated catering time estimation result;
and storing the target order into the order processing queue according to the catering priority of the target order.
10. A catering processing apparatus, comprising:
the first obtaining unit is used for obtaining a target order to be processed by food preparation;
the first processing unit is used for inputting the target order into a time estimation model so as to output a meal-matching time estimation result matched with the target order, wherein the time estimation model is a decision model which is obtained by utilizing a sample order to carry out multiple times of training and is used for estimating the meal-matching time required by the order;
the first determining unit is used for determining a sheet splitting result matched with the target order according to the estimated result of the catering time, wherein the sheet splitting result is to split the target order into a plurality of sub-orders under the condition that the target order reaches a sheet splitting condition; when the target order does not reach the order splitting condition, the order splitting result is to reserve the target order;
and the second processing unit is used for storing the target order into an order processing queue according to the splitting result so as to enable the catering system to carry out catering processing operation according to the order processing queue.
11. A computer-readable storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the recipe processing method of any one of claims 1 to 9.
12. A catering system comprising an arm arrangement, a memory and a processor, wherein the arm arrangement is configured to perform catering processing operations, the memory has a computer program stored therein, and the processor is configured to execute the catering processing method according to any of claims 1 to 9 via the computer program.
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