CN114820055A

CN114820055A - Unmanned vehicle selling commodity pushing method and device, unmanned vehicle and storage medium

Info

Publication number: CN114820055A
Application number: CN202210424275.2A
Authority: CN
Inventors: 李俊宁
Original assignee: Neolix Technologies Co Ltd
Current assignee: Neolix Technologies Co Ltd
Priority date: 2022-04-21
Filing date: 2022-04-21
Publication date: 2022-07-29

Abstract

The disclosure relates to the technical field of unmanned vehicles, and provides a pushing method and device for selling commodities by an unmanned vehicle, the unmanned vehicle and a storage medium. The method is applied to an unmanned vehicle, namely an automatic driving device or an unmanned driving device, and comprises the following steps: acquiring user tags of users around the unmanned vehicle; acquiring environmental information around the unmanned vehicle by using a sensing system arranged on the unmanned vehicle; adjusting preset matching rules in real time based on the environmental information; automatically determining a target user label matched with the environmental information in the user labels according to the matching rule; and pushing the sold goods on the unmanned vehicle to an application terminal of a user associated with the target user label. This openly can be with the accurate propelling movement of selling the commodity on the unmanned car, let more potential customers that probably purchase this commodity acquire this propelling movement information of selling the commodity to be favorable to selling the commodity more rapidly.

Description

Unmanned vehicle selling commodity pushing method and device, unmanned vehicle and storage medium

Technical Field

The disclosure relates to the technical field of unmanned vehicles, in particular to a pushing method and device for selling commodities by an unmanned vehicle, the unmanned vehicle and a storage medium.

Background

In some scenarios of selling goods by using the unmanned vending vehicle, the type of goods laid on the unmanned vending vehicle is not fixed generally, and the unmanned vending vehicle is not sold at a fixed position, especially in some commercial establishments, people around the unmanned vending vehicle have large mobility, so that the goods sold on the vehicle can be pushed to surrounding users accurately, and the goods on the unmanned vending vehicle can be sold quickly, which is a technical problem encountered in the operation of the current unmanned vending vehicle.

BRIEF SUMMARY OF THE PRESENT DISCLOSURE

In view of this, the present disclosure provides a pushing method and device for vending goods with an unmanned vehicle, and a storage medium, so as to solve the problem in the prior art how to accurately push goods sold on the unmanned vehicle to surrounding users.

In a first aspect of the disclosed embodiments, a pushing method for vending goods by an unmanned vehicle is provided, which includes:

acquiring user tags of users around the unmanned vehicle;

acquiring environmental information around the unmanned vehicle by using a sensing system arranged on the unmanned vehicle;

adjusting preset matching rules in real time based on the environmental information;

automatically determining a target user label matched with the environmental information in the user labels according to the matching rule;

and pushing the sold goods on the unmanned vehicle to an application terminal of a user associated with the target user label.

In a second aspect of the embodiments of the present disclosure, a pushing device for selling goods with an unmanned vehicle is provided, which includes:

a tag acquisition module configured to acquire user tags of users around the unmanned vehicle;

an environment sensing module configured to acquire environment information around the unmanned vehicle using a sensing system provided on the unmanned vehicle;

the rule adjusting module is configured to adjust preset matching rules in real time based on the environment information;

the user matching module is configured to automatically determine a target user tag matched with the environment information in the user tags according to the matching rules;

and the commodity pushing module is configured to push the sold commodities on the unmanned vehicle to the application terminal of the user associated with the target user tag.

In a third aspect of the disclosed embodiments, there is provided an unmanned vehicle comprising a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the above method when executing the computer program.

In a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, which stores a computer program, which when executed by a processor, implements the steps of the above-mentioned method.

Compared with the prior art, the embodiment of the disclosure has the following beneficial effects: acquiring user tags of users around the unmanned vehicle, and acquiring environmental information around the unmanned vehicle by using a sensing system arranged on the unmanned vehicle; the preset matching rule is adjusted in real time based on the environmental information, the target user label matched with the environmental information in the user label is automatically determined according to the matching rule, the sold commodity on the unmanned vehicle is pushed to the application terminal of the user associated with the target user label, accurate pushing of the sold commodity on the unmanned vehicle is achieved, more potential clients who may purchase the sold commodity on the unmanned vehicle can obtain the pushing information of the sold commodity, and therefore the method is beneficial to fast selling the sold commodity on the unmanned vehicle.

Drawings

To more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without inventive efforts.

FIG. 1 is a scenario diagram of an application scenario of an embodiment of the present disclosure;

fig. 2 is a flowchart of a pushing method for vending goods with unmanned vehicles according to an embodiment of the present disclosure;

fig. 3 is a block diagram of a pushing device for vending goods with unmanned vehicles according to an embodiment of the present disclosure;

fig. 4 is a schematic view of an unmanned vehicle provided by an embodiment of the present disclosure.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the disclosed embodiments. However, it will be apparent to one skilled in the art that the present disclosure may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present disclosure with unnecessary detail.

A method and an apparatus for pushing a vending product in an unmanned vehicle according to an embodiment of the present disclosure will be described in detail with reference to the accompanying drawings.

Fig. 1 is a scene schematic diagram of an application scenario of an embodiment of the present disclosure. The application scenario may include a plurality of mobile terminals (e.g.,

mobile terminals

1A, 1B, 1C, and 1D in fig. 1), and users (e.g.,

users

2A, 2B, 2C, and 2D in fig. 1) in which the respective mobile terminals are located, an unmanned vehicle 3, a server 4, and a network 5.

The

mobile terminals

1A, 1B, 1C, and 1D are respectively in communication connection with the server 4 through the network 5, wherein the

users

2A, 2B, 2C, and 2D in which the

mobile terminals

1A, 1B, 1C, and 1D are respectively located around the unmanned vehicle 3, and the

users

2A, 2B, 2C, and 2D can purchase goods sold on the unmanned vehicle 3 on the corresponding mobile terminals.

Specifically, the

mobile terminals

1A, 1B, 1C, and 1D may be hardware or software. When the

mobile terminals

1A, 1B, 1C and 1D are hardware, they may be various electronic devices having a display screen and supporting communication with the server 4, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like; when the

mobile terminals

1A, 1B, 1C, and 1D are software, they may be installed in the electronic devices as above. The

mobile terminals

1A, 1B, 1C and 1D may be implemented as a plurality of software or software modules, or may be implemented as a single software or software module, which is not limited in this disclosure. Further, the

mobile terminals

1A, 1B, 1C, and 1D may have various applications installed thereon, such as an unmanned car applet, a commodity purchase application, an instant messaging tool, and the like.

The unmanned vehicle 3 refers to a commodity vending vehicle having an automatic driving function or an unmanned function, and the unmanned vehicle 3 can automatically travel on a road and allow a user to purchase commodities by himself/herself through a mobile terminal, compared to a conventional vending machine in a fixed location. In the application scenario of the present disclosure, the unmanned vehicle 3 is network-connected to the server 4, and can communicate with the

mobile terminals

1A, 1B, 1C, and 1D simultaneously connected to the server 4.

The server 4 may be a server that provides various services, for example, a backend server that receives a request sent by the unmanned vehicle 3 with which a communication connection is established, and the backend server may receive and analyze the request sent by the unmanned vehicle 3, and generate a processing result. The server 4 may be one server, may also be a server cluster composed of a plurality of servers, or may also be a cloud computing service center, which is not limited in this disclosure.

The server 4 may be hardware or software. When the server 4 is hardware, it may be various electronic devices that provide various services to the

mobile terminals

1A, 1B, 1C, and 1D and the unmanned vehicle 3. When the server 4 is software, it may be implemented as a plurality of software or software modules providing various services for the

mobile terminals

1A, 1B, 1C, and 1D and the unmanned vehicles, or may be implemented as a single software or software module providing various services for the

mobile terminals

1A, 1B, 1C, and 1D and the unmanned vehicles, which is not limited in this disclosure.

The network 5 may be a wired network connected by a coaxial cable, a twisted pair and an optical fiber, or may be a wireless network that can interconnect various Communication devices without wiring, for example, Bluetooth (Bluetooth), Near Field Communication (NFC), Infrared (Infrared), and the like, which is not limited in the embodiment of the present disclosure.

The

users

2A, 2B, 2C, and 2D can establish a communication connection with the server 4 via the network 5 through the corresponding

mobile terminals

1A, 1B, 1C, and 1D to receive or transmit information or the like. Specifically, the

users

2A, 2B, 2C, and 2D may be registered users of the unmanned vehicle 3 selling goods service, and according to the positioning information of the

mobile terminals

1A, 1B, 1C, and 1D corresponding to the

users

2A, 2B, 2C, and 2D, the position distances between the

users

2A, 2B, 2C, and 2D and the unmanned vehicle 3 may be determined, so that the unmanned vehicle 3 may collect surrounding users, the unmanned vehicle may use the interaction behavior between the

users

2A, 2B, 2C, and 2D and the unmanned vehicle 3 to print user tags on the

users

2A, 2B, 2C, and 2D, so that when the unmanned vehicle 3 sells goods, the target user tags matched with the goods may be screened out according to the user tags of the surrounding users, and then the goods are pushed to the users corresponding to the target user tags, thereby realizing the accurate pushing of the unmanned vehicle 3 to sell goods, the commodity on the unmanned vehicle 3 can be sold out more conveniently and rapidly.

It should be noted that the specific types, numbers and combinations of the

mobile terminals

1A, 1B, 1C and 1D, the unmanned vehicles 3, the server 4 and the network 5 may be adjusted according to the actual requirements of the application scenarios, and the embodiment of the present disclosure does not limit this.

Fig. 2 is a flowchart of a pushing method for vending goods with an unmanned vehicle according to an embodiment of the present disclosure. The push method for selling goods by the unmanned vehicle of fig. 2 may be performed by the unmanned vehicle of fig. 1, as shown in fig. 2, and includes:

s201, acquiring user tags of users around the unmanned vehicle;

s202, acquiring environmental information around the unmanned vehicle by using a sensing system arranged on the unmanned vehicle;

s203, adjusting a preset matching rule in real time based on the environmental information;

s204, automatically determining a target user label matched with the environmental information in the user labels according to the matching rule;

and S205, pushing the sold commodity on the unmanned vehicle to an application terminal of a user associated with the target user label.

Specifically, the user here may be a registered user within a preset range around the unmanned vehicle, for example, a registered user within a range of one hundred meters around the unmanned vehicle. Further, the user tag may be a user annotation generated by the drone based on user behavior or interaction behavior between the user and the drone.

In some embodiments, the obtaining of user tags of users around the unmanned vehicle in fig. 2 includes: receiving position information sent by an application terminal connected with an unmanned vehicle network; determining a target application terminal in a preset range around the unmanned vehicle based on the position information; and acquiring user information of the user logged in the target application terminal, wherein the user information comprises a user tag, and the user tag is a classification mark made by the unmanned vehicle for the user logged in the application terminal.

In particular, in connection with the application scenario of fig. 1, the unmanned vehicle 3 is networked with the

mobile terminals

1A, 1B, 1C and 1D, for example, the

mobile terminals

1A, 1B, 1C and 1D may be smart phones, application terminals are installed on the

mobile terminals

1A, 1B, 1C and 1D so that the

users

2A, 2B, 2C and 2D in which the

mobile terminals

1A, 1B, 1C and 1D are located can purchase the sold goods on the unmanned vehicle 3 on the application terminals, that is, after the

users

2A, 2B, 2C and 2D place orders on the application terminal, the

mobile terminals

1A, 1B, 1C and 1D send the order to the server 4, the server 4 forwards the order to the unmanned vehicle 3, and then the unmanned vehicle 3 pushes the commodity corresponding to the order out of the unmanned vehicle 3 for the users to take, thereby realizing unmanned sale of the commodity. In practical applications, the unmanned vehicle 3 may obtain mobile terminals around the unmanned vehicle 3 according to the position information of the

mobile terminals

1A, 1B, 1C, and 1D, and obtain user information logged in on the mobile terminals around the unmanned vehicle 3, where the user information may include a user tag, a contact information of a user, a face image, or the like. In this way, the unmanned vehicle 3 can acquire the user tags of the users around.

Specifically, one user may have at least one user tag, and different users may have the same user tag or different user tags. Under the condition that different users have the same user tag, the one user tag is equivalent to being associated with a plurality of users, and when the unmanned vehicle 3 selects the one user tag as the target user tag, the plurality of users associated with the one user tag can be determined as the target users. In practical applications, the unmanned vehicle 3 may tag the user according to the registration information at the application terminal, for example, the registration information of the user may include the age, sex, and hobbies of the user, and then the unmanned vehicle may use the registration information as the user tag or tag the user with the registration information.

The user and the user label around the unmanned vehicle are obtained through the position information sent by the application terminal logged in by the user, so that the target user range of commodity pushing can be well realized.

Illustratively, in some embodiments, a method for an unmanned vehicle to mark a user with a classification mark comprises: recognizing the voice, face information and natural attributes of a user who purchases goods on an unmanned vehicle; recording the business circle attribute and the region attribute of the position of the unmanned vehicle; recording the transaction information of the unmanned vehicle; at least one of the voice, the face information, the natural attribute, the business circle attribute, the region attribute and the transaction information of the user is input into a preset user label model, and the user label of the user is automatically obtained through the output of the user label model.

Specifically, the natural attribute of the user may include a gender of the user, or may also include a hair color, a height, and the like of the user, for example, in practical applications, a voice, face information, and a natural attribute of the user around the unmanned vehicle may be identified to determine whether the user is a registered user (i.e., the voice, face information, or natural attribute collected by the unmanned vehicle is compared with corresponding information of the user when the user is registered), so as to tag the user according to other information. Or, the attribute of the business circle and the attribute of the region where the unmanned vehicle is located may also be recorded, for example, the city position, the high-grade degree of the business circle, the region characteristic, and the like of the business circle where the unmanned vehicle is located are recorded, and the surrounding users are labeled according to the information. Alternatively, the transaction information of the user on the unmanned vehicle may be recorded to label the user, for example, the type of goods purchased by the user on the unmanned vehicle, the consumption frequency, the consumption amount, and the like may be recorded, and the corresponding user may be labeled according to the transaction information.

The user label model may be a machine model obtained by training a label sample, where a label portion of the label sample may include various user labels, and a feature portion of the label sample may include at least one of a voice, face information, a natural attribute, a business turn attribute, a region attribute, and transaction information of a user, so that after the label sample is used for training to obtain a corresponding user label model, at least one of the voice, the face information, the natural attribute, the business turn attribute, the region attribute, and the transaction information of the user collected by the unmanned vehicle may be input into the user label module, and then, a corresponding user label may be obtained at an output of the user label module. Of course, in practice, the implementation manner of tagging the user by using the artificial intelligence is not limited to the foregoing method, and may be other manners, and the embodiment of the disclosure does not limit this.

The label marking method and the label marking device have the advantages that the label marking is carried out on the user in an artificial intelligence mode, so that the label marking of the user can be realized very intelligently, and meanwhile, the mode of marking the label for the user is unified, so that the label marking of the user label is not only rapid but also more accurate.

Furthermore, the unmanned vehicle supports the unmanned driving or automatic driving function, so that a sensing system is arranged on the unmanned vehicle, the sensing system is used for sensing the environmental information around the unmanned vehicle, and the matching rule is adjusted in real time according to the environmental information, so that the corresponding target user label can be automatically acquired according to the change of the surrounding environment.

Specifically, the environmental information includes at least one of weather information, traffic information, and scene information. For example, when the unmanned vehicle detects that the surrounding weather is hot or the temperature is high according to the sensing system, if the sold goods are beverages or other drinks, the matching weight or other relevant parameters of the temperature or the climate of the surrounding environment in the matching rule can be adjusted, so that more target user tags related to the sold goods can be matched.

For example, before the matching rule is not adjusted, iced beverages are sold in unmanned vehicles, so that target user tags such as 'favorite beverages' can be automatically matched; then, if the environment temperature around the unmanned vehicle is detected to be higher, the matching rule can be adjusted according to the environment information, and then target user tags such as 'like cold drinks' can be matched by using the adjusted matching rule, so that the effect of automatically acquiring more accurate target user tags according to the environment information around the unmanned vehicle is achieved.

According to the technical scheme provided by the embodiment of the disclosure, the matching rule of the target user tag is adjusted by obtaining the environmental information around the unmanned vehicle, the target user crowd is automatically determined by utilizing the adjusted matching rule, the sold goods on the unmanned vehicle are pushed to the application terminals of the target users, the accurate pushing of the sold goods on the unmanned vehicle is realized, and more potential customers who probably buy the sold goods on the unmanned vehicle can obtain the pushing information of the sold goods.

In some embodiments, before automatically determining a target user tag in the user tags that matches the environmental information according to the matching rule, the method further includes: acquiring relevant information of a commodity sold by an unmanned vehicle, wherein the relevant information comprises fuzzy words input by manual intervention; and adjusting the preset matching rule in real time based on the relevant information.

Specifically, the relevant information of the commodity sold in the unmanned vehicle may be a fuzzy word input through manual intervention, or may also be relevant information such as a commodity name and a commodity price of the sold commodity, and the content of the relevant information is not limited in the embodiment of the present disclosure.

Specifically, the fuzzy word input by the user may be a word or a sentence. For example, in the application scenario of fig. 1, the fuzzy word "520 holiday product" may be manually input in the management background of the server, and then the user cluster of the target user tag related to the "520 holiday product" may be automatically acquired.

In addition, the matching rule may be a preset matching algorithm or a preset matching model. For example, when the matching rule is a matching algorithm, the matching rule may be a calculation formula preset according to a variable including characteristics such as commodity information and manually input keywords, and according to the calculation formula, the association degree or weight between the relevant information and each user tag may be calculated, and then the target user tag may be automatically obtained according to whether the association degree or weight meets a preset value. When the matching rule is a matching model, the matching rule may be a machine model obtained by training an algorithm with a sample in advance. In practical application, the algorithm between the sold goods on the unmanned vehicle and the user tag or the parameters of the machine model can be adjusted and calculated according to the input keywords, so that the matching rules can be adjusted in real time.

For example, gifts and flowers are sold in unmanned vehicles, target user tags such as "women" and "flowers" can be automatically obtained according to preset matching rules before keywords are input without manual intervention, but if fuzzy words "520 holiday commodities" are input in the background to adjust the matching rules in real time, the adjusted matching rules can automatically obtain the target user tags of "lovers", "singles", "young persons" and "bought gifts". Therefore, the target user label can be acquired more accurately by adjusting the preset matching rule in real time.

In some embodiments, the push method for vending goods by unmanned vehicle in fig. 2 further comprises: acquiring a pushing operation response behavior of a user on an application terminal; the user tag of the user is modified based on the operational behavior.

Specifically, the unmanned vehicle pushes the sold commodity to the user corresponding to the target user tag, may push the commodity name, the inventory information and the like of the sold commodity to the mobile terminal where the user is located or an application terminal installed on the mobile terminal, and may also push the advertisement information and the like of the sold commodity to the mobile terminal where the user is located or an application terminal installed on the mobile terminal. Of course, the product push here may be to push all of the sold products to the user corresponding to each target user tag, or may be to push the sold products related to the target tags to the user corresponding to the target user tags. For example, three target user tags are automatically obtained A, B, C according to the matching rule, and there are P1 and P2 for selling goods associated with target user tag a, P3 for selling goods associated with target user tag B, and P4, P5 and P6 for selling goods associated with target user tag C on unmanned vehicle, then it is possible to push selling goods P1 and P2 to the user corresponding to target user tag a, push selling goods 3 to the user corresponding to target user tag B, and push selling goods P4, P5 and P6 to the user corresponding to target user tag C, where of course, the association relationships between selling goods P1, P2, P3, P4, P5 and P6 and target user tags A, B and C are preset. In addition, in some embodiments, merchandise items P1, P2, P3, P4, P5, and P6 may also be pushed together directly to the users corresponding to target user tags A, B and C.

Specifically, referring to the application scenario of fig. 1, after the

users

2A, 2B, 2C, and 2D receive the sold goods pushed by the unmanned vehicle 3, the

mobile terminals

1A, 1B, 1C, and 1D where the users are located may record the operation behavior of the users responding to the pushing on the mobile terminals, and feed the operation behavior back to the unmanned vehicle 3, so that the unmanned vehicle may modify the user tag of the user by using the operation behavior. In some embodiments, the operation behavior herein may include browsing the pushed selling goods, for example, a user performs an operation of browsing or viewing the pushed selling goods on the application terminal; the operation behavior may also include closing the pushed commodity, for example, the user performs an operation of deleting or closing the pushed commodity information on the application terminal; or the operation behavior further includes purchasing the pushed selling goods, for example, the user performs operations of browsing the pushed selling goods and placing an order to purchase on the application terminal.

For example, if a user who has not purchased a commodity purchases flowers, a user tag of "purchased a gift" may be added to the user, or if a user who has a "favorite coffee" user tag before often purchases cold drinks pushed by an unmanned vehicle but does not purchase coffee pushed by the unmanned vehicle, the unmanned vehicle may delete the user tag of "favorite coffee" of the user and add a user tag of "favorite cold drink" according to the transaction information.

According to the technical scheme provided by the embodiment of the disclosure, the user tags of the users are corrected by utilizing the interactive information between the users and the unmanned vehicles, so that the matching accuracy of the target user tags is improved, and more accurate user pushing of the sold commodities is realized.

All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.

The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.

Fig. 3 is a schematic view of a pushing device for selling goods by unmanned vehicles according to an embodiment of the disclosure. As shown in fig. 3, the push device for vending the goods by the unmanned vehicle includes:

a tag acquisition module 301 configured to acquire user tags of users around the unmanned vehicle;

an environment sensing module 302 configured to acquire environmental information around the unmanned vehicle using a perception system provided on the unmanned vehicle;

a rule adjusting module 303 configured to adjust a preset matching rule in real time based on the environment information;

a user matching module 304 configured to automatically determine a target user tag matching the environmental information from the user tags according to a matching rule;

and the commodity pushing module 305 is configured to push the sold commodities on the unmanned vehicle to the application terminal of the user associated with the target user tag.

In some embodiments, the environmental information includes at least one of weather information, traffic information, and scene information.

In some embodiments, the push device for vending articles by unmanned vehicles further comprises:

the fuzzy matching module 306 is configured to acquire relevant information of the sold goods of the unmanned vehicle, wherein the relevant information comprises fuzzy words input by manual intervention;

the rule adjusting module 303 in fig. 3 adjusts the preset matching rule in real time based on the relevant information.

In some embodiments, the tag obtaining module 301 in fig. 3 receives location information sent by an application terminal connected to an unmanned vehicle network; determining a target application terminal in a preset range around the unmanned vehicle based on the position information; and acquiring user information of the user logged in the target application terminal, wherein the user information comprises a user tag, and the user tag is a classification mark made by the unmanned vehicle for the user logged in the application terminal.

In some embodiments, the tag acquisition module 301 in fig. 3 identifies the voice, facial information, and natural attributes of a user purchasing goods on an unmanned vehicle; recording the business circle attribute and the region attribute of the position of the unmanned vehicle; recording the transaction information of the unmanned vehicle; at least one of the voice, the face information, the natural attribute, the business circle attribute, the region attribute and the transaction information of the user is input into a preset user label model, and the user label of the user is automatically obtained through the output of the user label model.

In some embodiments, the pushing device for vending articles by unmanned vehicles in fig. 3 further comprises:

a push feedback module 307 configured to acquire a push operation behavior responded by a user on the application terminal;

a tag modification module 308 configured to modify a user tag of the user based on the operational behavior.

In some embodiments, the operational behavior comprises at least one of: browsing the pushed merchandise, closing the pushed merchandise, and purchasing the pushed merchandise.

It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.

Fig. 4 is a schematic view of an unmanned vehicle provided by an embodiment of the present disclosure. As shown in fig. 4, the unmanned vehicle 3 includes a computer device 40000, and the computer device 400 includes: a processor 401, a memory 402 and a computer program 403 stored in the memory 402 and executable on the processor 401. The steps in the various method embodiments described above are implemented when the processor 401 executes the computer program 403. Alternatively, the processor 401 implements the functions of the respective modules/units in the above-described respective apparatus embodiments when executing the computer program 403.

In practical applications, the unmanned vehicle may include a sensing system or other structures besides the computer device 400, which is not described herein.

Illustratively, the computer program 403 may be partitioned into one or more modules/units, which are stored in the memory 402 and executed by the processor 401 to accomplish the present disclosure. One or more modules/units may be a series of computer program instruction segments capable of performing certain functions, the instruction segments describing the execution of the computer program 403 in the computer device 400.

The computer apparatus 400 may be a microcomputer system or a computer apparatus such as an image computing device. Computer device 400 may include, but is not limited to, a processor 401 and a memory 402. Those skilled in the art will appreciate that fig. 4 is merely an example of a computer device 400 and is not intended to limit the computer device 400 and that it may include more or fewer components than shown, or some of the components may be combined, or different components, e.g., the computer device may also include input output devices, network access devices, buses, etc.

The Processor 401 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The storage 402 may be an internal storage unit of the computer device 400, such as a hard disk or a memory of the computer device 400. The memory 402 may also be an external storage device of the computer device 400, such as a plug-in hard disk provided on the computer device 400, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 402 may also include both internal and external storage units of the computer device 400. The memory 402 is used for storing computer programs and other programs and data required by the computer device. The memory 402 may also be used to temporarily store data that has been output or is to be output.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.

In the embodiments provided in the present disclosure, it should be understood that the disclosed apparatus/computer device and method may be implemented in other ways. For example, the above-described apparatus/computer device embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, another division may be made in actual implementation, multiple units or components may be combined or 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, devices or units, and may be in an electrical, mechanical or other form.

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 disclosure 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 may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.

The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the above embodiments may be realized by the present disclosure, and the computer program may be stored in a computer readable storage medium to instruct related hardware, and when the computer program is executed by a processor, the steps of the above method embodiments may be realized. The computer program may comprise computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain suitable additions or additions that may be required in accordance with legislative and patent practices within the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals or telecommunications signals in accordance with legislative and patent practices.

The above examples are only intended to illustrate the technical solutions of the present disclosure, not to limit them; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present disclosure, and are intended to be included within the scope of the present disclosure.

Claims

1. A pushing method for selling commodities by unmanned vehicles is characterized by comprising the following steps:

acquiring user tags of users around the unmanned vehicle;

adjusting preset matching rules in real time based on the environment information;

automatically determining a target user tag matched with the environment information in the user tags according to the matching rule;

2. The push method for vending unmanned aerial vehicle commodities according to claim 1, wherein the environmental information includes at least one of weather information, traffic information, and scene information.

3. The push method for vending unmanned vehicle vended goods according to claim 1, further comprising, before automatically determining a target user tag matching the environmental information among the user tags according to the matching rule:

acquiring related information of the commodities sold by the unmanned vehicle, wherein the related information comprises fuzzy words input by manual intervention;

and adjusting preset matching rules in real time based on the related information.

4. The push method for vending merchandise with an unmanned vehicle according to claim 1, wherein the obtaining of the user tags of the users around the unmanned vehicle comprises:

receiving position information sent by an application terminal connected with an unmanned vehicle network;

determining a target application terminal in a preset range around the unmanned vehicle based on the position information;

and acquiring user information of the user logged in the target application terminal, wherein the user information comprises a user tag, and the user tag is a classification mark of the unmanned vehicle for the user logged in the application terminal.

5. The push method for vending merchandise with unmanned vehicle according to claim 4, wherein the unmanned vehicle makes classification marks to users, comprising:

recognizing the voice, face information and natural attributes of a user who purchases goods on an unmanned vehicle;

recording the business circle attribute and the region attribute of the position of the unmanned vehicle;

recording the transaction information of the unmanned vehicle;

and inputting at least one of the voice, the face information, the natural attribute, the business circle attribute, the region attribute and the transaction information of the user into a preset user label model, and automatically obtaining a user label of the user at the output of the user label model.

6. The push method for vending commodities with unmanned vehicles according to any one of claims 1-5, further comprising:

acquiring a pushing operation behavior responded by a user on the application terminal;

and modifying the user label of the user based on the operation behavior.

7. The method of pushing unmanned vehicle vended merchandise according to claim 6, wherein the operational act includes at least one of: browsing the pushed selling goods, closing the pushed selling goods and purchasing the pushed selling goods.

8. The utility model provides a pusher of commodity is sold to unmanned car which characterized in that includes:

an environment sensing module configured to acquire environmental information around the unmanned vehicle using a perception system provided on the unmanned vehicle;

a rule adjusting module configured to adjust a preset matching rule in real time based on the environment information;

a user matching module configured to automatically determine a target user tag matched with the environment information from the user tags according to the matching rule;

9. An unmanned vehicle comprising a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor when executing the computer program implements the steps of the method of any of claims 1 to 7.

10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.