CN112581200A - Unmanned retail method, server and storage medium - Google Patents
Unmanned retail method, server and storage medium Download PDFInfo
- Publication number
- CN112581200A CN112581200A CN201910927775.6A CN201910927775A CN112581200A CN 112581200 A CN112581200 A CN 112581200A CN 201910927775 A CN201910927775 A CN 201910927775A CN 112581200 A CN112581200 A CN 112581200A
- Authority
- CN
- China
- Prior art keywords
- unmanned retail
- mobile terminal
- unmanned
- cabinet
- order
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 47
- 238000012795 verification Methods 0.000 claims description 42
- 238000004590 computer program Methods 0.000 claims description 6
- 238000004146 energy storage Methods 0.000 description 27
- 210000004027 cell Anatomy 0.000 description 18
- 238000010586 diagram Methods 0.000 description 15
- 238000001514 detection method Methods 0.000 description 8
- 238000006243 chemical reaction Methods 0.000 description 5
- 238000010248 power generation Methods 0.000 description 5
- 238000010438 heat treatment Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 239000004065 semiconductor Substances 0.000 description 3
- 230000000007 visual effect Effects 0.000 description 3
- 238000007599 discharging Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000011521 glass Substances 0.000 description 2
- 239000011147 inorganic material Substances 0.000 description 2
- 229910021421 monocrystalline silicon Inorganic materials 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- 230000004308 accommodation Effects 0.000 description 1
- 229910021417 amorphous silicon Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 235000013361 beverage Nutrition 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 230000005684 electric field Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 229910010272 inorganic material Inorganic materials 0.000 description 1
- 229910052744 lithium Inorganic materials 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000011368 organic material Substances 0.000 description 1
- 229910021420 polycrystalline silicon Inorganic materials 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 210000000352 storage cell Anatomy 0.000 description 1
- 239000010409 thin film Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- 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
- G06Q30/0637—Approvals
-
- 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]
- G06Q30/0639—Item locations
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F11/00—Coin-freed apparatus for dispensing, or the like, discrete articles
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses an unmanned retail method, a server and a storage medium, wherein the unmanned retail method comprises the following steps: the method comprises the steps that a server receives an order request from a mobile terminal, wherein the order request at least comprises position information of the mobile terminal; acquiring a set of all unmanned retail cabinets within a preset range according to the position information of the mobile terminal; selecting the corresponding unmanned retail cabinet in the set; sending a distribution instruction to the selected unmanned retail cabinet, so that the unmanned retail cabinet distributes according to the distribution instruction. Through the embodiment, the user experience can be improved.
Description
Technical Field
The present application relates to the field of unmanned retail technologies, and in particular, to an unmanned retail method, a server, and a storage medium.
Background
Unmanned retail cabinets have slowly merged into each field of people's life, and unmanned retail cabinets mostly appear in places such as parks, subway mouths and office buildings where personnel are dense, sell bottled beverages, bagged food, articles for daily use and the like, and bring great convenience to people's life.
However, most of the current unmanned retail cabinets are fixed at a certain place, and users are required to buy goods at the selling places where the unmanned retail cabinets are fixed, so that the user experience is reduced.
Disclosure of Invention
The application provides an unmanned retail method, a server and a storage medium, which can solve the problem of the prior art that the position of an unmanned retail cabinet is fixed and the problem is brought to users.
In order to solve the technical problem, the application adopts a technical scheme that: there is provided an unmanned retail method, comprising: the method comprises the steps that a server receives an order request from a mobile terminal, wherein the order request at least comprises position information of the mobile terminal; acquiring a set of all unmanned retail cabinets within a preset range according to the position information of the mobile terminal; selecting the corresponding unmanned retail cabinet in the set; sending a distribution instruction to the selected unmanned retail cabinet, so that the unmanned retail cabinet distributes according to the distribution instruction.
Wherein said selecting a corresponding said unmanned retail cabinet in said set comprises: acquiring information of commodities in each unmanned retail cabinet in the set; acquiring all the unmanned retail cabinets containing the commodities in the order information; selecting the unmanned retail cabinets matched with the mobile terminal from the unmanned retail cabinets containing order commodities.
Wherein the selecting the unmanned retail cabinets matched with the mobile terminal from among the unmanned retail cabinets containing the ordered commodities comprises: acquiring operation information of the unmanned retail cabinets, wherein the operation information at least comprises the current working state of each unmanned retail cabinet and distance information from the mobile terminal; determining the unmanned retail cabinet matched with the mobile terminal based on the operation information.
Wherein the sending a delivery instruction to the selected unmanned retail cabinet so that the unmanned retail cabinet delivers according to the delivery instruction further comprises: generating order verification information, wherein the verification information is used for verifying the unmanned retail cabinet; and sending the order verification information to the mobile terminal, so that the unmanned retail cabinet is controlled to release the commodities in the order information to a goods taking port after verification, and the order verification result is fed back to the mobile terminal.
The order verification information is at least one or a combination of a bar code, a two-dimensional code, a digital certificate and a verification code.
Wherein the order request includes at least one or a combination of a commodity name, a category, a price, and a commodity number.
In order to solve the above technical problem, another technical solution adopted by the present application is: there is provided an unmanned retail method, comprising: the method comprises the steps that an unmanned retail cabinet receives a distribution instruction sent by a server, wherein the distribution instruction comprises a path instruction for the unmanned retail cabinet; operating to the position of the mobile terminal according to the path instruction; judging whether the order verification information of the mobile terminal is correct or not; if the order information is judged to be yes, the unmanned retail cabinet is controlled to release the commodities in the order information to the goods taking port.
In order to solve the above technical problem, the present application adopts another technical solution: there is provided an unmanned retail method, comprising: the method comprises the steps that a mobile terminal sends an order request to a server, wherein the order request at least comprises position information of the mobile terminal; receiving order verification information from the server, wherein the order verification information is used for verifying the unmanned retail cabinet; and receiving an order verification result from the server.
In order to solve the above technical problem, the present application adopts another technical solution: there is provided a server 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 unmanned retail method as in any one of the above.
In order to solve the above technical problem, the present application adopts another technical solution: there is provided a storage medium having stored therein program data which, when executed by a processor, is arranged to implement the unmanned retail method of any one of the preceding claims.
The beneficial effect of this application is: the server end analyzes an order request of a user to obtain the position of a mobile terminal (user), further searches an unmanned retail cabinet which is most matched with the mobile terminal in a preset range based on the position of the mobile terminal, generates a distribution instruction and sends the distribution instruction to the unmanned retail cabinet, the unmanned retail cabinet can distribute commodities selected by the user to the user according to the instruction information, the situation that the user cannot find a fixed retail cabinet in a noisy environment can be avoided, convenience is brought to the life of the user, and user experience is improved. Compared with the situation that the position of the unmanned retail cabinet is fixed in the prior art, the unmanned retail cabinet can realize scheduling in real time according to the order information of the user, different requirements of the user are met, and the life of the user is facilitated.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without inventive efforts, wherein:
FIG. 1 is a schematic diagram of the architecture of an embodiment of the present unmanned retail system;
FIG. 2 is a schematic structural view of an embodiment of the unmanned retail store of the present application;
FIG. 3 is a schematic structural view of another embodiment of the unmanned retail store of the present application;
FIG. 4 is a schematic structural diagram of an embodiment of the unmanned retail store charging system of the present application;
FIG. 5 is a schematic flow chart diagram of one embodiment of the unmanned retail process of the present application;
FIG. 6 is a schematic flow chart illustrating an embodiment of step S120 of the present application;
FIG. 7 is a schematic flow chart illustrating an embodiment of step S123 of the present application;
FIG. 8 is a schematic flow chart diagram of another embodiment of the unmanned retail process of the present application;
FIG. 9 is a schematic flow chart diagram illustrating a further embodiment of the unmanned retail process of the present application;
FIG. 10 is a schematic diagram of an embodiment of a server of the present application;
FIG. 11 is a schematic structural diagram of a computer storage medium provided in an embodiment of the present application; .
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
It should be noted that if directional indications (such as up, down, left, right, front, and back … …) are referred to in the embodiments of the present application, the directional indications are only used to explain the relative positional relationship between the components, the movement situation, and the like in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indications are changed accordingly.
In addition, if there is a description of "first", "second", etc. in the embodiments of the present application, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an embodiment of the unmanned retail system of the present application, and as shown in fig. 1, the unmanned retail system 1 of the present application includes a plurality of unmanned retail cabinets 100, a mobile terminal 200, and a server 300.
With further reference to fig. 2, fig. 2 is a schematic structural diagram of an embodiment of the unmanned retail cabinet of the present application, and as shown in fig. 2, the unmanned retail cabinet 100 provided by the present application includes a retail cabinet body 110, a supporting mechanism 120, and a wireless charging panel 130.
The retail cabinet body 110 includes a storage space 111, and the storage space 111 is used for placing goods. Optionally, the storage space 111 in this application may further include a plurality of storage sub-spaces, and a baffle 112 is disposed between adjacent storage sub-spaces. The number of the storage subspaces in the embodiment of the application is 2, and in other embodiments, the number of the storage subspaces can be set to 3, 4, 5, and the like according to actual situations, and is not particularly limited herein.
Optionally, each in this application the storing subspace all sets up multilayer supporter 113, supporter 113 is used for placing the goods. Each layer of storage rack 113 is detachably fixed in the storage space 111 through a baffle 112.
Further, a goods recognition device (not shown) for detecting the number of goods, the kind of goods, and the like is provided in the storage space 111. And the goods identification device can be one or a combination of an image identification device, a photoelectric detection device, a gravity sensing device, an alpha D detection device or an electronic tag identification device.
Optionally, a heating device (not shown), a cooling device (not shown), a temperature sensor (not shown), and a lighting device (not shown) may be disposed in the storage space 111.
Specifically, can set up walk-in and heating chamber alone in this application storing space 111, refrigerating plant sets up and is used for treating in the walk-in to sell the goods and refrigerates, and heating device sets up and is used for treating in the heating chamber to sell the goods and heat preservation, and temperature sensor is used for detecting the temperature of the internal storing space 111 of cabinet to guarantee the best temperature range of goods.
Further, the unmanned retail cabinet 100 further comprises a cabinet door (not shown) arranged on the retail cabinet body 110, the cabinet door (not shown) is detachably fixed on the goods outlet surface of the retail cabinet body 110, and the cabinet door can be made of transparent anti-theft glass, wherein the anti-theft glass is made of inorganic materials or materials formed by combining and processing inorganic and organic materials, so that the cabinet door (not shown) can be prevented from being damaged when being impacted by external force, and loss of merchants is reduced.
Optionally, the bottom of the cabinet door (not shown) is provided with a goods access opening 115, and specifically, one goods access opening 115 may be provided for each storage subspace. In this application embodiment, two storing subspaces all set up one and get goods mouth 115, after the server received user's payment instruction, can control the goods that correspond among the storing space 111 and fall into this and get goods mouth 115 for the user takes away.
Further, referring to fig. 3, fig. 3 is a schematic structural diagram of another embodiment of the unmanned retail cabinet of the present application, and as shown in fig. 3, a display interface 116 is disposed on a side of the unmanned retail cabinet 100 away from a cabinet door (not shown). The display interface 116 may be an LED display screen for advertisement delivery, discount information of goods in a retail cabinet, and the like.
Optionally, referring to fig. 2 and 3, the supporting mechanism 120 in the present application includes four supporting columns 121 respectively disposed at four opposite corners of the bottom of the retail cabinet body 110 for supporting the retail cabinet body 110.
The bottoms of the four support columns 121 are provided with sliding mechanisms 1211, the 1211 can be set to be a self-driving wheel which is connected with a controller, the controller controls the self-driving wheel to move according to a preset route after receiving a moving instruction, the unmanned retail cabinet does not need to be manually pushed away, the automatic movement of the unmanned retail cabinet is achieved, and manpower is saved.
Alternatively, four support columns 121 may be telescopic support columns, for example, a spring may be added to each support column, and the support columns may be screw rods, so as to adjust the distance between the self-service retail cabinet body 110 and the support surface.
With continued reference to fig. 2 and 3, in the present application, the wireless charging panel 130 is laid on the top of the retail cabinet body 110 for charging the energy storage battery (not shown) of the retail cabinet. The wireless charging panel 130 in the present application is a solar panel.
Optionally, the wireless charging panel 130 (solar panel) further includes a solar cell module (not shown) and a solar controller (not shown).
The solar cell module, also called a solar panel, absorbs sunlight, directly or indirectly converts solar radiation energy into electric energy through a photoelectric effect or a photochemical effect, and outputs direct current to be stored in an energy storage battery. The solar cell module is an assembly formed by assembling a plurality of solar cells, and is a core part of a solar power generation system and also an important part of the solar power generation system. The material of the solar cell module may be one of single crystal silicon, polycrystalline silicon, a flexible thin film, or amorphous silicon. In the embodiment of the application, the solar cell panel is packaged by the high-efficiency (more than 16.5%) monocrystalline silicon solar cell, so that the sufficient power generation power of the solar cell panel is ensured.
The basic structure of a semiconductor device, which can directly convert light energy into electric energy by the working principle of a solar cell module, is composed of a P-N junction of a semiconductor. The sun light irradiates on the semiconductor P-N junction to form a new hole-electron pair, under the action of a P-N junction electric field, holes flow from the N region to the P region, electrons flow from the P region to the N region, and current is formed after a circuit is switched on. This is the working principle of the photovoltaic solar cell. The solar power generation mode has two modes, one is a light-heat-electricity conversion mode, and the other is a light-electricity direct conversion mode. In the application, a direct photo-electric conversion mode is adopted to convert solar energy into electric energy. Alternatively, the output voltage of the solar cell module in the present application may be 36V.
Specifically, the solar controller is connected to the solar cell module and an energy storage battery (not shown) of the retail cabinet 110, and the solar controller is fully called a solar charging and discharging controller, and is an automatic control device used in a solar power generation system to control a multi-path solar cell matrix to charge the energy storage battery and the energy storage battery to supply power to a load of a solar inverter. The solar photovoltaic power supply system regulates and controls the charging and discharging conditions of the energy storage battery, controls the electric energy output of the solar battery assembly and the energy storage battery to the load according to the power supply requirement of the load, and is a core control part of the whole photovoltaic power supply system. The solar controller is a device used for controlling the panel to charge the energy storage battery and providing load control voltage for the voltage sensitive equipment. In the application, the voltage from the solar cell module is 36V, and the output voltage range of the solar cell module needs to be adjusted by the solar controller to be within 24V-28V, so that the charging voltage condition of the energy storage battery is met.
Certainly, in order to prevent the problem that solar charging panel photoelectric conversion efficiency is low under the not enough condition of light, this application can also directly charge to unmanned retail cabinet through external commercial power, and the electric quantity that satisfies unmanned retail cabinet under the different application scenes is sufficient, so can improve unmanned retail cabinet's duration greatly.
Optionally, referring to fig. 4, fig. 4 is a schematic structural diagram of an embodiment of the charging system for an unmanned retail cabinet of the present application, and as shown in fig. 4, the charging system 200 for an unmanned retail cabinet of the present application includes an energy storage battery 210, a wireless power supply module a, a first power supply module 220, and a control module 230.
The energy storage battery 210 is used for storing electric energy and providing a power supply for the unmanned retail cabinet, and may specifically be a lithium battery, and the charging voltage of the energy storage battery 210 in the embodiment of the present application may be 24V to 28V, and specifically may be 24V, 26V, and 28V. The battery capacity of the energy storage battery 210 ranges from 110AH to 440AH, and may specifically be 110AH, 165AH, 440AH, and the like, which is not specifically limited herein. In other embodiments, energy storage batteries with other charging voltages can be used, and are not limited herein.
The wireless power supply module a, i.e. the solar panel in the above-mentioned embodiment of the present application, is connected to the energy storage battery 210, and converts solar energy into electric energy to output to the energy storage battery 210.
The first power module 220 may be an external power source for charging the self-service retail cabinet in a low light condition (at night or on cloudy days).
The control module 230 is connected to the wireless power supply module a and the first power supply module 220, and is configured to control and switch different charging modules to charge the energy storage battery 210.
Optionally, the intelligent charging system 200 further includes an electric quantity detection module 240, and the electric quantity detection module 240 is connected to the energy storage battery 210 and the control module 230, and is configured to monitor the electric quantity of the energy storage battery 210. Optionally, in this application, the electric quantity detection module 240 may detect the electric quantity of the energy storage battery 210 in real time, so that when the electric quantity of the energy storage battery 210 is lower than a preset electric quantity value, for example, 10% or 5% of the electric quantity, the wireless power supply module a may be controlled by the control module 230 to switch to the first power supply module 220 for charging.
In a specific application scenario of the present application, during a day with sufficient light, the unmanned retail cabinet 100 can directly charge the energy storage battery 210 through the wireless power supply module a (solar cell module) to maintain the selling action of the payment module (not shown) of the unmanned retail cabinet and the power consumption of the LED display screen advertisement of the display module (not shown). When the light is weak (at night or in cloudy days), the photoelectric conversion efficiency of the solar cell module is reduced due to insufficient light, and at this time, the control module 230 can switch to the first power supply module 220 to charge the energy storage cell 210. In another application scenario of the application, the electric quantity of the energy storage battery 210 can be monitored in real time by combining with the electric quantity detection module 240, and when the electric quantity of the energy storage battery 210 is lower than a preset electric quantity value, the control module 230 can switch to the first power supply module 220 to charge the energy storage battery 210 according to a detection result of the electric quantity detection module 240, so that the cruising ability of the unmanned retail cabinet can be greatly improved.
In the above embodiment, the solar cell module and the external power supply are combined to charge the energy storage battery, so that the outdoor cruising ability of the unmanned retail cabinet can be improved.
Further, the unmanned retail cabinet of the present application may further include a visual recognition mark (not shown) disposed on the retail cabinet body 110, so as to be recognized by an unmanned robot (not shown) and guide the unmanned robot to align with the visual recognition mark, so that the unmanned robot may accurately enter and exit the accommodation space a traveled by the four support columns 121, thereby lifting and moving the unmanned retail cabinet 100. The visual identification mark may be a graphic code, such as a two-dimensional code, a bar code or other graphic images.
The mobile terminal 200 of the application can be a smart phone, a tablet computer, an intelligent wearable device and the like.
Referring to fig. 5, fig. 5 is a schematic flow chart of an embodiment of the unmanned retail method according to the present application, and the unmanned retail method in this embodiment is based on the unmanned retail system according to the present application, as shown in fig. 5, the unmanned retail method provided in this embodiment includes the following steps:
s100, the server receives an order request from the mobile terminal, wherein the order request at least comprises the position information of the mobile terminal.
In a specific application scenario, it is assumed that the user is in a park, at which time water needs to be bought, but no stationary retail cabinets are found around. At the moment, the user can open an application program (APP) corresponding to the unmanned retail cabinet on the mobile terminal, positioning is firstly carried out after the APP is opened, and the position of the user is determined. And then, selecting the required goods from the goods list in the APP, paying after selection, generating an order request and sending the order request to the server side. The order request generated by the mobile terminal at least comprises at least one or a combination of the name, the category, the price, the commodity number of the selected commodity and the position information of the mobile terminal. Certainly, in other embodiments, the user can also enter the commodity list interface through the WeChat applet, select a required commodity, pay after selection, generate an order request and send the order request to the server side.
Optionally, the server receives the order request from the mobile terminal, further analyzes the order request, and obtains the name, the category, the price, the product number of the product in the order request and the location information of the mobile terminal through analysis.
And S110, acquiring a set of all unmanned retail cabinets within a preset range according to the position information of the mobile terminal.
According to the position information of the mobile terminal acquired in step S100, the server may search a set of all the unmanned retail cabinets within a preset range. The preset range can be all unmanned retail cabinets within a range of 200 meters, 300 meters, 500 meters and the like from the mobile terminal. Of course, this embodiment is only an exemplary embodiment, and other preset ranges may be also provided in other embodiments, which are not limited herein.
And S120, selecting a corresponding unmanned retail cabinet in the set.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an embodiment of step S120 of the present application, and step S120 of fig. 6 further includes the following sub-steps:
and S121, acquiring information of commodities in each unmanned retail cabinet in the set.
In particular embodiments, after determining the set of unmanned retail cabinets, it is determined that all of the unmanned retail cabinets in the set include the items in the order information, and thus the server needs to perform further screening.
Specifically, information of the commodities in each unmanned retail cabinet in the set is acquired, and the information comprises the type, the quantity, the price and the like of the commodities in each unmanned retail cabinet.
And S122, acquiring all unmanned retail cabinets containing the commodities in the order information.
It can be understood that in an actual application scenario, there may be situations where no one retail cabinet is out of stock or is not timely restocked, so that a retail cabinet not containing the goods in the order request needs to be screened out.
And S123, selecting the unmanned retail cabinets matched with the mobile terminal from the unmanned retail cabinets containing the ordered commodities.
Optionally, with reference to fig. 7, fig. 7 is a schematic structural diagram of an embodiment of step S123 in the present application, and step S123 in fig. 7 further includes the following sub-steps:
s1231, obtaining operation information of the unmanned retail cabinets, wherein the operation information at least comprises the current working state of each unmanned retail cabinet and distance information between the current working state of each unmanned retail cabinet and the mobile terminal.
The current working state of the unmanned retail cabinet at least comprises working and idle medium working states.
And S1232, determining the unmanned retail cabinet matched with the mobile terminal based on the operation information.
In the embodiment of the application, the unmanned retail cabinets with the working states of being idle can be further used as a set, and the unmanned retail cabinets in the set are sorted according to the distance, and the unmanned retail cabinet closest to the mobile terminal is matched with the mobile terminal. Of course, in other embodiments, other options may be adopted, and no particular limitation is made herein.
And S130, sending a distribution instruction to the selected unmanned retail cabinet, so that the unmanned retail cabinet distributes according to the distribution instruction.
Optionally, the delivery instruction in this application further includes a path instruction for the unmanned retail cabinets, that is, the server plans path information according to the position of the mobile terminal and the position between the selected unmanned retail cabinets, and sends the path information to the unmanned retail vehicle in an instruction manner, and after receiving the path instruction, the unmanned retail cabinets deliver the commodities according to the planned path.
In the embodiment, the position of the mobile terminal (user) is obtained by analyzing the order request of the user through the server, the unmanned retail cabinet which is most matched with the mobile terminal in the preset range is further searched based on the position of the mobile terminal, the distribution instruction is generated and sent to the unmanned retail cabinet, the unmanned retail cabinet can distribute commodities selected by the user to the user according to the instruction information, the situation that the user cannot find the fixed retail cabinet in a noisy environment can be avoided, convenience is brought to the life of the user, and the user experience is improved. Compared with the situation that the position of the unmanned retail cabinet is fixed in the prior art, the unmanned retail cabinet can realize scheduling in real time according to the order information of the user, different requirements of the user are met, and the life of the user is facilitated.
Optionally, the present application may further include the following steps:
and S140, generating order verification information, wherein the verification information is used for verifying the unmanned retail cabinet.
Optionally, step S140 may be performed simultaneously with step S120 in the present application, or after step S130, which is not specifically limited in the present application.
Optionally, the server side further generates order verification information after selecting the unmanned retail cabinet matched with the mobile terminal, wherein the order verification information may be at least one or a combination of a barcode, a two-dimensional code, a digital certificate and a verification code. The order verification information is used for verifying the unmanned retail cabinet.
S150, sending order verification information to the mobile terminal, so that the unmanned retail cabinet is controlled to release the commodities in the order information to the goods taking port after verification, and the order verification result is fed back to the mobile terminal.
Optionally, the server side sends the order verification information to the mobile terminal, and in a specific embodiment, the order verification information is a two-dimensional code image, and at this time, verification needs to be performed on the unmanned retail cabinet, for example, scanning is performed through a camera on the unmanned retail cabinet, and if the verification passes, the release of the goods in the order information to the pickup port is directly controlled, and a result that the order verification passes is fed back to the mobile terminal. Otherwise, if the order verification fails, the result that the order verification fails is fed back to the mobile terminal.
In the embodiment, the position of the mobile terminal (user) is obtained by analyzing the order request of the user through the server, the unmanned retail cabinet which is most matched with the mobile terminal in the preset range is further searched based on the position of the mobile terminal, the distribution instruction is generated and sent to the unmanned retail cabinet, the unmanned retail cabinet can distribute commodities selected by the user to the user according to the instruction information, the situation that the user cannot find the fixed retail cabinet in a noisy environment can be avoided, convenience is brought to the life of the user, and the user experience is improved. Compared with the situation that the position of the unmanned retail cabinet is fixed in the prior art, the unmanned retail cabinet can realize scheduling in real time according to the order information of the user, different requirements of the user are met, and the life of the user is facilitated.
Referring to fig. 8, fig. 8 is a schematic flow chart of another embodiment of the unmanned retail method according to the present application, and referring to fig. 8, the unmanned retail method according to the present application includes the following steps:
s200, the unmanned retail cabinet receives a distribution instruction sent by the server, and the distribution instruction comprises a path instruction for the unmanned retail cabinet.
And S210, operating to the position of the mobile terminal according to the path instruction.
And S220, judging whether the order verification information of the mobile terminal is correct or not.
And S230, controlling the unmanned retail cabinet to release the commodities in the order information to the goods taking port.
In this embodiment, a specific operation flow of the unmanned retail cabinet end is provided, and details can be referred to the specific description in the first embodiment, which is not described herein again.
Referring to fig. 9, fig. 9 is a schematic flow chart of another embodiment of the unmanned retail method of the present application, and referring to fig. 9, the unmanned retail method of the present application includes the following steps:
s300, the mobile terminal sends an order request to the server, wherein the order request at least comprises the position information of the mobile terminal.
And S310, receiving order verification information from the server, wherein the order verification information is used for verifying the unmanned retail cabinet.
And S320, receiving an order verification result from the server.
For a specific operation flow of the mobile terminal in this embodiment, details may be referred to the specific description in the first embodiment, and are not described herein again.
In the embodiment, whether the unmanned retail cabinet needs to be supplied with goods or not is judged autonomously through the server side, and the unmanned retail cabinet is transported by combining an unmanned connection machine without manual intervention in the whole process, so that manpower and material resources can be saved, and the operation efficiency of the unmanned retail system is improved.
Referring to fig. 10, fig. 10 is a schematic diagram of an embodiment of a server 40 of the present application, where the server 40 of the present application further includes a processor 41 and a memory 42 connected to the processor 41, where the memory 42 stores a computer program, and the processor 41 executes the computer program to implement the unmanned retail method according to any one of the above embodiments.
Referring to fig. 11, fig. 11 is a schematic structural diagram of a storage medium according to an embodiment of the present application, the computer storage medium 50 stores program data 51, and the program data 51 is used to implement the following method when being executed by a processor: receiving an order request from a mobile terminal, wherein the order request at least comprises position information of the mobile terminal; acquiring a set of all unmanned retail cabinets within a preset range according to the position information of the mobile terminal; selecting the corresponding unmanned retail cabinet in the set; sending a distribution instruction to the selected unmanned retail cabinet, so that the unmanned retail cabinet distributes according to the distribution instruction.
In the embodiment, the position of the mobile terminal (user) is obtained by analyzing the order request of the user through the server, the unmanned retail cabinet which is most matched with the mobile terminal in the preset range is further searched based on the position of the mobile terminal, the distribution instruction is generated and sent to the unmanned retail cabinet, the unmanned retail cabinet can distribute commodities selected by the user to the user according to the instruction information, the situation that the user cannot find the fixed retail cabinet in a noisy environment can be avoided, convenience is brought to the life of the user, and the user experience is improved. Compared with the situation that the position of the unmanned retail cabinet is fixed in the prior art, the unmanned retail cabinet can realize scheduling in real time according to the order information of the user, different requirements of the user are met, and the life of the user is facilitated.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other manners. For example, the above-described device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
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 embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be 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 integrated units in the other embodiments described above may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the purpose of illustrating embodiments of the present application and is not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application or are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (10)
1. An unmanned retail method, characterized in that the unmanned retail method comprises:
the method comprises the steps that a server receives an order request from a mobile terminal, wherein the order request at least comprises position information of the mobile terminal;
acquiring a set of all unmanned retail cabinets within a preset range according to the position information of the mobile terminal;
selecting the corresponding unmanned retail cabinet in the set;
sending a distribution instruction to the selected unmanned retail cabinet, so that the unmanned retail cabinet distributes according to the distribution instruction.
2. The automated retail method of claim 1, wherein selecting the corresponding automated retail cabinet in the collection comprises:
acquiring information of commodities in each unmanned retail cabinet in the set;
acquiring all the unmanned retail cabinets containing the commodities in the order information;
selecting the unmanned retail cabinets matched with the mobile terminal from the unmanned retail cabinets containing order commodities.
3. The automated retail method according to claim 2, wherein the selecting the automated retail cabinets matching the mobile terminal among the automated retail cabinets containing the order goods comprises:
acquiring operation information of the unmanned retail cabinets, wherein the operation information at least comprises the current working state of each unmanned retail cabinet and distance information from the mobile terminal;
determining the unmanned retail cabinet matched with the mobile terminal based on the operation information.
4. The automated retail method of claim 1, wherein sending a delivery instruction to the selected automated retail cabinets to cause the automated retail cabinets to deliver according to the delivery instruction further comprises:
generating order verification information, wherein the verification information is used for verifying the unmanned retail cabinet;
and sending the order verification information to the mobile terminal, so that the unmanned retail cabinet is controlled to release the commodities in the order information to a goods taking port after verification, and the order verification result is fed back to the mobile terminal.
5. The unmanned retail method according to claim 4, wherein the order verification information is at least one of a bar code, a two-dimensional code, a digital certificate, a verification code, or a combination thereof.
6. The automated retail method of claim 1, wherein the order request includes at least one or a combination of a name of the item, a category, a price, and a number of the item.
7. An unmanned retail method, characterized in that the unmanned retail method comprises:
the method comprises the steps that an unmanned retail cabinet receives a distribution instruction sent by a server, wherein the distribution instruction comprises a path instruction for the unmanned retail cabinet;
operating to the position of the mobile terminal according to the path instruction;
judging whether the order verification information of the mobile terminal is correct or not;
if the order information is judged to be yes, the unmanned retail cabinet is controlled to release the commodities in the order information to the goods taking port.
8. An unmanned retail method, characterized in that the unmanned retail method comprises:
the method comprises the steps that a mobile terminal sends an order request to a server, wherein the order request at least comprises position information of the mobile terminal;
receiving order verification information from the server, wherein the order verification information is used for verifying the unmanned retail cabinet;
and receiving an order verification result from the server.
9. A server, 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 unmanned retail method of any one of claims 1-7.
10. A storage medium having stored therein program data which, when executed by a processor, is adapted to carry out a retail sale method according to any one of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910927775.6A CN112581200A (en) | 2019-09-27 | 2019-09-27 | Unmanned retail method, server and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910927775.6A CN112581200A (en) | 2019-09-27 | 2019-09-27 | Unmanned retail method, server and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112581200A true CN112581200A (en) | 2021-03-30 |
Family
ID=75110227
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910927775.6A Pending CN112581200A (en) | 2019-09-27 | 2019-09-27 | Unmanned retail method, server and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112581200A (en) |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020010661A1 (en) * | 2000-05-31 | 2002-01-24 | Waddington Steffanie G. | Distribution system |
| JP2002342825A (en) * | 2001-05-17 | 2002-11-29 | Sanyo Electric Co Ltd | Automatic vending machine, and system therefor |
| CN104555222A (en) * | 2014-12-25 | 2015-04-29 | 北京物资学院 | Storage and distribution integration system and method based on insert-type AGV |
| CN105159236A (en) * | 2015-06-18 | 2015-12-16 | 珠海市一微半导体有限公司 | Vending robot system and control method thereof |
| CN106347919A (en) * | 2016-11-10 | 2017-01-25 | 杭州南江机器人股份有限公司 | Automatic warehousing system |
| CN108198024A (en) * | 2017-12-28 | 2018-06-22 | 纳恩博（北京）科技有限公司 | Information processing method and device, electronic equipment and storage medium |
| CN108341202A (en) * | 2017-02-10 | 2018-07-31 | 广东利保美投资有限公司 | A kind of cold chain transportation scheduling center system and method |
| CN108573431A (en) * | 2018-04-20 | 2018-09-25 | 深兰科技（上海）有限公司 | Mobile vending method and server, automatic vending vehicle, user terminal and system |
| CN108876260A (en) * | 2018-08-21 | 2018-11-23 | 坎德拉（深圳）科技创新有限公司 | A kind of goods delivery method and goods delivery system |
| CN108989997A (en) * | 2018-09-05 | 2018-12-11 | 深圳正品创想科技有限公司 | A kind of information-pushing method, device, server and self-service cabinet |
| CN109147179A (en) * | 2018-08-24 | 2019-01-04 | 苏州博众机器人有限公司 | A kind of commodity distribution method, apparatus, system, server and storage medium |
| CN109785065A (en) * | 2019-01-15 | 2019-05-21 | 北京百度网讯科技有限公司 | Method, apparatus, equipment and the computer storage medium of sale service are provided |
| CN109814545A (en) * | 2018-12-10 | 2019-05-28 | 北京百度网讯科技有限公司 | Replenishing method, device and the storage medium of the unmanned vending machine of automatic Pilot |
| CN109978473A (en) * | 2019-05-05 | 2019-07-05 | 北京云迹科技有限公司 | A kind of kinds of goods allocator, device, electronic equipment and storage medium |
-
2019
- 2019-09-27 CN CN201910927775.6A patent/CN112581200A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020010661A1 (en) * | 2000-05-31 | 2002-01-24 | Waddington Steffanie G. | Distribution system |
| JP2002342825A (en) * | 2001-05-17 | 2002-11-29 | Sanyo Electric Co Ltd | Automatic vending machine, and system therefor |
| CN104555222A (en) * | 2014-12-25 | 2015-04-29 | 北京物资学院 | Storage and distribution integration system and method based on insert-type AGV |
| CN105159236A (en) * | 2015-06-18 | 2015-12-16 | 珠海市一微半导体有限公司 | Vending robot system and control method thereof |
| CN106347919A (en) * | 2016-11-10 | 2017-01-25 | 杭州南江机器人股份有限公司 | Automatic warehousing system |
| CN108341202A (en) * | 2017-02-10 | 2018-07-31 | 广东利保美投资有限公司 | A kind of cold chain transportation scheduling center system and method |
| CN108198024A (en) * | 2017-12-28 | 2018-06-22 | 纳恩博（北京）科技有限公司 | Information processing method and device, electronic equipment and storage medium |
| CN108573431A (en) * | 2018-04-20 | 2018-09-25 | 深兰科技（上海）有限公司 | Mobile vending method and server, automatic vending vehicle, user terminal and system |
| CN108876260A (en) * | 2018-08-21 | 2018-11-23 | 坎德拉（深圳）科技创新有限公司 | A kind of goods delivery method and goods delivery system |
| CN109147179A (en) * | 2018-08-24 | 2019-01-04 | 苏州博众机器人有限公司 | A kind of commodity distribution method, apparatus, system, server and storage medium |
| CN108989997A (en) * | 2018-09-05 | 2018-12-11 | 深圳正品创想科技有限公司 | A kind of information-pushing method, device, server and self-service cabinet |
| CN109814545A (en) * | 2018-12-10 | 2019-05-28 | 北京百度网讯科技有限公司 | Replenishing method, device and the storage medium of the unmanned vending machine of automatic Pilot |
| CN109785065A (en) * | 2019-01-15 | 2019-05-21 | 北京百度网讯科技有限公司 | Method, apparatus, equipment and the computer storage medium of sale service are provided |
| CN109978473A (en) * | 2019-05-05 | 2019-07-05 | 北京云迹科技有限公司 | A kind of kinds of goods allocator, device, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3843056A1 (en) | Self-service operating system and method, and operation door | |
| CN111295696A (en) | Automatic vending store | |
| US9276418B2 (en) | Battery exchange, recharge and recycle apparatus, system and method | |
| CN109193854A (en) | A kind of method, apparatus, scheduling system and the storage medium of dispatch robot charging | |
| CN109472920A (en) | A kind of automatic vending machine intelligent inventory management system and method | |
| CN108510649A (en) | Automatic selling equipment and system | |
| CN113850657B (en) | Unmanned vehicle-based commodity selling method and device, electronic equipment and storage medium | |
| CN108175227A (en) | Shelf control method, device and electronic equipment | |
| CN108557365A (en) | Unmanned shop automatically vending system | |
| CN207337540U (en) | A kind of automatic vending machine | |
| CN108335410A (en) | Automatic selling equipment and system | |
| CN206058271U (en) | Supermarket's cargo management system | |
| CN112581686A (en) | Replenishment method for unmanned retail cabinet, server and computer-readable storage medium | |
| CN111341009A (en) | Intelligent locker remote alarm detection method and system | |
| CN207601928U (en) | Automatic selling counter | |
| CN109975728B (en) | Intelligent full-automatic streamline comprehensive detection system and method for fault indicator | |
| CN110148251A (en) | Network-based distributed transaction station | |
| CN108994817A (en) | A kind of supermarket Zhao Huo robot | |
| CN109003156A (en) | A kind of automation convenience store and its automatic picking method | |
| US11702286B2 (en) | Intelligent shelves for automated distribution of products | |
| CN112581200A (en) | Unmanned retail method, server and storage medium | |
| CN108942874A (en) | A kind of supermarket Xun Huo robot | |
| CN112581687A (en) | Unmanned retail system | |
| KR102495536B1 (en) | Smart bin | |
| CN208654910U (en) | A kind of intelligence vending machine and intelligent vending system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |