CN114255104A - User order processing method and device, cloud server and medium - Google Patents

User order processing method and device, cloud server and medium Download PDF

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Publication number
CN114255104A
CN114255104A CN202111543242.1A CN202111543242A CN114255104A CN 114255104 A CN114255104 A CN 114255104A CN 202111543242 A CN202111543242 A CN 202111543242A CN 114255104 A CN114255104 A CN 114255104A
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order
user
dispatching
order information
historical
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付东洋
支涛
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Beijing Yunji Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635—Processing of requisition or of purchase orders
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24147—Distances to closest patterns, e.g. nearest neighbour classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
    • G06F18/24155—Bayesian classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/24323—Tree-organised classifiers

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Abstract

The invention aims to provide a user order processing method, a user order processing device, a cloud server and a medium, wherein the user order processing method is applied to the cloud server and comprises the following steps: obtaining user order information through an order system; determining a corresponding order dispatching mode according to the user order information and the historical order information of the user; and issuing the dispatching task to the automatic counter machine and the corresponding internet of things equipment according to the order dispatching mode. By the method, the order information of the user can be intelligently, timely and accurately processed, and the user experience is improved.

Description

User order processing method and device, cloud server and medium
Technical Field
The invention relates to the technical field of robots, in particular to a user order processing method and device, a cloud server and a medium.
Background
In the scenes of guest rooms, hotels, beauty parlors, hospitals, buildings, parks, exhibition halls, factories and the like, a user can self-help shop through an automatic container machine, namely, the user can place an order through the automatic container machine, the automatic container machine automatically places goods into a goods basket according to received order information, and the user can directly take the goods away manually.
However, when shopping is performed by the existing automatic container machine, a user can only place an order and take goods before the automatic container machine himself, the automatic container machine cannot be remotely controlled to place an order, and the goods cannot be directly sent to the user through the internet of things device. Meanwhile, if the user purchases various goods, the goods taking time is longer, and if the number of the purchased goods is more, the user is inconvenient to carry.
Disclosure of Invention
The invention aims to provide a user order processing method, a user order processing device, a cloud server and a medium, which can intelligently, timely and accurately process order information of a user and improve user experience.
The invention provides a user order processing method, which is applied to a cloud server and comprises the following steps:
obtaining user order information through an order system;
determining a corresponding order dispatching mode according to the user order information and the historical order information of the user;
and issuing the dispatching task to the automatic counter machine and the corresponding internet of things equipment according to the order dispatching mode.
Further, the user order information includes: type of goods, quantity of goods, volume of goods and order taking address.
Further, the determining a corresponding order dispatching mode according to the user order information and the historical order information of the user includes:
and inputting the user order information and the historical order information of the user into an order recognition model, and determining a corresponding order dispatching mode, wherein the order dispatching mode is robot dispatching, manual dispatching or mechanical arm dispatching.
Further, before obtaining the user order information through the order system, the method further includes:
and training to obtain an order recognition model according to the historical order information of the user.
The invention also provides a user order processing device which is arranged on the cloud server and comprises:
the acquisition unit is used for acquiring user order information through an order system;
the determining unit is used for determining a corresponding order dispatching mode according to the user order information and the historical order information of the user;
and the issuing unit is used for issuing the dispatching task to the automatic counter machine and the corresponding internet of things equipment according to the order dispatching mode.
Further, the user order information includes: type of goods, quantity of goods, volume of goods and order taking address.
Further, the determining unit is specifically configured to input the user order information and historical order information of the user into an order identification model, and determine a corresponding order dispatching manner, where the order dispatching manner is robot dispatching, manual dispatching, or mechanical arm dispatching.
Further, the apparatus further comprises:
and the training unit is used for training to obtain an order identification model according to the historical order information of the user.
The present invention also provides a cloud server, comprising:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a user order processing method as described in any above.
The invention also provides a computer-readable storage medium, on which a computer program is stored, which program, when executed by a processor, implements a user order processing method as described in any one of the above.
The invention has the beneficial effects that:
the user order processing method provided by the scheme is applied to the cloud server, and the cloud server acquires user order information through an order system; determining a corresponding order dispatching mode according to the user order information and the historical order information of the user; and issuing the dispatching task to the automatic counter machine and the corresponding internet of things equipment according to the order dispatching mode. By the method, the order information of the user can be intelligently, timely and accurately processed, and the user experience is improved.
Drawings
Fig. 1 is a flowchart of a user order processing method according to an embodiment of the present invention;
FIG. 2 is a block diagram of a user order processing apparatus according to a second embodiment of the present invention
Fig. 3 is a structural diagram of a cloud server according to a third embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present invention. It should be understood that the drawings and the embodiments of the present invention are illustrative only and are not intended to limit the scope of the present invention.
It should be understood that the various steps recited in the method embodiments of the present invention may be performed in a different order and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the invention is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present invention are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in the present invention are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that reference to "one or more" unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present invention are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
Example one
Fig. 1 is a flowchart of a user order processing method according to an embodiment of the present invention, where the method may be executed by a cloud server. The present embodiment includes steps S110, S120, and S130. As shown in fig. 1, the method specifically includes the following steps:
and S110, obtaining the order information of the user through an order system.
The ordering system can be installed in a user terminal, and the user terminal includes but is not limited to a mobile terminal or a computer and the like. The ordering system may be installed in the user terminal in the form of an application or an applet, or the like.
Further, the user order information includes, but is not limited to: type of goods, quantity of goods, volume of goods, and order taking address, etc. The commodity type includes but is not limited to fresh, wine and the like, the commodity volume includes the sum of the volume of a single commodity package and the volume of all commodity packages, the commodity type and the volume of the single commodity package are preset in an order system, and the commodity quantity and an order taking address are input by a user in the order system.
And S120, determining a corresponding order dispatching mode according to the user order information and the historical order information of the user.
The method comprises the following steps that historical order information of a user is stored in a cloud server, when the user places a new order through an order system, a corresponding order dispatching mode is determined according to the user order information and the historical order information of the user, and the method comprises the following steps: and inputting the user order information and the historical order information of the user into an order recognition model, and determining a corresponding order dispatching mode, wherein the order dispatching mode is robot dispatching, manual dispatching or mechanical arm dispatching.
In the cloud server, historical order information of a user is inquired according to the user information, wherein the historical order information comprises commodity types, commodity quantity, commodity volumes and order receiving addresses, and further comprises an order dispatching mode corresponding to the historical order. And inputting the user order information and the historical order information of the user into an order recognition model, and automatically determining a corresponding order dispatching mode. The order dispatching mode is robot dispatching, manual dispatching or mechanical arm dispatching. The robot delivery means that the robot sends the goods in the order to the order receiving address. Manual delivery refers to the delivery of the items in an order to an order taking address by a worker. The mechanical arm delivery refers to delivering the commodities in the order to the order taking address through the mechanical arm. In the embodiment, the selectable robot is a wheeled robot, the wheeled robot is simple in structure, not prone to failure and low in use cost. Of course, other types of robots may be suitable. In this embodiment, the lower end of the mechanical arm is provided with a sliding wheel. The type of the robot arm is not limited, and for example, the robot arm is a four-joint robot arm.
And S130, issuing a delivery task to the automatic counter machine and the corresponding internet of things equipment according to the order delivery mode.
The equipment of the Internet of things comprises a robot, a mobile terminal and a mechanical arm, when the order dispatching mode is robot dispatching, the corresponding equipment of the Internet of things is the robot, when the order dispatching mode is manual dispatching, the corresponding equipment of the Internet of things is the mobile terminal, and the mobile terminal is carried by a worker; when the order dispatching mode is mechanical arm dispatching, the corresponding Internet of things equipment is a mechanical arm.
The dispatching task is generated according to the order dispatching mode and comprises an automatic counter machine number and a number of a corresponding equipment of the internet of things, specifically, the automatic counter machine and the corresponding equipment of the internet of things which execute the dispatching task can be determined according to the order dispatching condition in the jurisdiction area of the cloud server, the number of the automatic counter machine and the number of the corresponding equipment of the internet of things are contained in the dispatching task, and the cloud server issues the dispatching task to the automatic counter machine and the corresponding equipment of the internet of things.
Further, before obtaining the user order information through the order system, the method further includes:
and training to obtain an order recognition model according to the historical order information of the user.
The order recognition model can be obtained by training a classification model, the classification model comprises but is not limited to a decision tree model, a Bayesian classification model, a nearest neighbor classification model, a support vector machine classification model or a neural network model, historical order information of a user is input into the classification model, the historical order information comprises commodity types, commodity quantity, commodity volumes and order receiving addresses, the order dispatching mode corresponding to historical orders is further included, the order recognition model obtained by training can automatically confirm the corresponding order dispatching mode according to the order information and the historical order information of the user when the order system obtains a new order of the user.
The user order processing method provided by the scheme is applied to the cloud server, and the cloud server acquires user order information through an order system; determining a corresponding order dispatching mode according to the user order information and the historical order information of the user; and issuing the dispatching task to the automatic counter machine and the corresponding internet of things equipment according to the order dispatching mode. By the method, the order information of the user can be intelligently, timely and accurately processed, and the user experience is improved.
Example two
Fig. 2 is a structural diagram of a user order processing apparatus according to a second embodiment of the present invention, where the apparatus may execute the user order processing method in the foregoing embodiments and may be configured in a cloud server, and as shown in fig. 2, the apparatus may include:
an obtaining unit 210, configured to obtain user order information through an order system;
the determining unit 220 is configured to determine a corresponding order dispatching manner according to the user order information and historical order information of the user;
and the issuing unit 230 is configured to issue the delivery task to the automatic container loader and the corresponding equipment of the internet of things according to the order delivery manner.
Further, the user order information includes: type of goods, quantity of goods, volume of goods and order taking address.
Further, the determining unit 220 is specifically configured to input the user order information and the historical order information of the user into an order identification model, and determine a corresponding order dispatching manner, where the order dispatching manner is robot dispatching, manual dispatching, or mechanical arm dispatching.
Further, the apparatus further comprises:
and the training unit is used for training to obtain an order identification model according to the historical order information of the user.
The user order processing apparatus provided by the embodiment of the present invention and the user order processing method provided by the above embodiment belong to the same inventive concept, and technical details that are not described in detail in the embodiment can be referred to the above embodiment, and the embodiment has the same beneficial effects as the execution of the user order processing method.
EXAMPLE III
Referring now to fig. 3, a block diagram of a cloud server 900 suitable for use in implementing embodiments of the present invention is shown. The cloud server in the embodiment of the invention has a standby user order processing function.
As shown in fig. 3, the cloud server 900 may include a processing device (e.g., a central processing unit, a graphics processor, etc.) 901, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)902 or a program loaded from a storage device 908 into a Random Access Memory (RAM) 903. In the RAM 903, various programs and data necessary for the operation of the cloud server 900 are also stored. The processing apparatus 901, the ROM902, and the RAM 903 are connected to each other through a bus 904. An input/output (I/O) interface 905 is also connected to bus 904.
In particular, according to an embodiment of the present invention, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, an embodiment of the invention includes a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication device 909, or installed from the storage device 908, or installed from the ROM 902. The computer program, when executed by the processing apparatus 901, performs the above-described functions defined in the methods of the embodiments of the present invention.
Example four
The computer readable medium of the present invention described above may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: obtaining user order information through an order system; determining a corresponding order dispatching mode according to the user order information and the historical order information of the user; and issuing the dispatching task to the automatic counter machine and the corresponding internet of things equipment according to the order dispatching mode.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The foregoing description is only exemplary of the preferred embodiments of the invention and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention according to the present invention is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is possible without departing from the scope of the invention as defined by the appended claims. For example, the above features and (but not limited to) features having similar functions of the present invention are mutually replaced to form the technical solution.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims (10)

1. A user order processing method is applied to a cloud server and comprises the following steps:
obtaining user order information through an order system;
determining a corresponding order dispatching mode according to the user order information and the historical order information of the user;
and issuing the dispatching task to the automatic counter machine and the corresponding internet of things equipment according to the order dispatching mode.
2. The method of claim 1, wherein the user order information comprises: type of goods, quantity of goods, volume of goods and order taking address.
3. The method according to claim 2, wherein the determining a corresponding order dispatch manner according to the user order information and the historical order information of the user comprises:
and inputting the user order information and the historical order information of the user into an order recognition model, and determining a corresponding order dispatching mode, wherein the order dispatching mode is robot dispatching, manual dispatching or mechanical arm dispatching.
4. The method of claim 3, further comprising, prior to obtaining user order information via an order system:
and training to obtain an order recognition model according to the historical order information of the user.
5. The utility model provides a user order processing apparatus which characterized in that sets up in cloud ware, the device includes:
the acquisition unit is used for acquiring user order information through an order system;
the determining unit is used for determining a corresponding order dispatching mode according to the user order information and the historical order information of the user;
and the issuing unit is used for issuing the dispatching task to the automatic counter machine and the corresponding internet of things equipment according to the order dispatching mode.
6. The apparatus of claim 5, wherein the user order information comprises: type of goods, quantity of goods, volume of goods and order taking address.
7. The method according to claim 6, wherein the determining unit is specifically configured to input the user order information and historical order information of the user into an order recognition model, and determine a corresponding order dispatching manner, where the order dispatching manner is robot dispatching, manual dispatching, or robotic arm dispatching.
8. The method of claim 7, wherein the apparatus further comprises:
and the training unit is used for training to obtain an order identification model according to the historical order information of the user.
9. A cloud server, comprising:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the user order processing method of any of claims 1-4.
10. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the user order processing method according to any one of claims 1-9.
CN202111543242.1A 2021-12-16 2021-12-16 User order processing method and device, cloud server and medium Pending CN114255104A (en)

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Application Number Priority Date Filing Date Title
CN202111543242.1A CN114255104A (en) 2021-12-16 2021-12-16 User order processing method and device, cloud server and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111543242.1A CN114255104A (en) 2021-12-16 2021-12-16 User order processing method and device, cloud server and medium

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