CN116959167A - Automatic vending distribution system based on big data - Google Patents
Automatic vending distribution system based on big data Download PDFInfo
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- CN116959167A CN116959167A CN202311219689.2A CN202311219689A CN116959167A CN 116959167 A CN116959167 A CN 116959167A CN 202311219689 A CN202311219689 A CN 202311219689A CN 116959167 A CN116959167 A CN 116959167A
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- 238000012544 monitoring process Methods 0.000 claims abstract description 86
- 230000002457 bidirectional effect Effects 0.000 claims abstract description 22
- 238000003032 molecular docking Methods 0.000 claims abstract description 16
- 238000007405 data analysis Methods 0.000 claims description 4
- 230000001172 regenerating effect Effects 0.000 claims description 2
- 238000000034 method Methods 0.000 description 10
- 244000269722 Thea sinensis Species 0.000 description 5
- 235000009569 green tea Nutrition 0.000 description 5
- 238000013459 approach Methods 0.000 description 4
- 235000013361 beverage Nutrition 0.000 description 4
- 235000019640 taste Nutrition 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 241000283070 Equus zebra Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F9/00—Details other than those peculiar to special kinds or types of apparatus
- G07F9/002—Vending machines being part of a centrally controlled network of vending machines
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F11/00—Coin-freed apparatus for dispensing, or the like, discrete articles
- G07F11/004—Restocking arrangements therefor
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- Signal Processing (AREA)
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- Control Of Vending Devices And Auxiliary Devices For Vending Devices (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of automatic vending equipment, in particular to an automatic vending distribution system based on big data. The automatic vending machine comprises a monitoring and identifying system, wherein the output end of the monitoring and identifying system is connected with a class self-recommending unit, and the automatic vending machine further comprises a multiparty stock quantity monitoring system which is connected with the output end of the class self-recommending unit and is used for monitoring the stock quantity of the vending machine; the recommendation point calibration system is connected with the output end of the multiparty inventory monitoring system and is used for recommending other vending machines with comprehensive products in inventory when the comprehensive product inventory is insufficient in the vending machine where the user is located; and the bidirectional service docking system is connected with the output end of the recommended point calibration system. By establishing two service modes that a user can go to other vending machines by himself and go to the user's place with other vending machines, purchase exception handling is made for the user in this case by providing a plurality of solutions.
Description
Technical Field
The invention relates to the technical field of automatic vending equipment, in particular to an automatic vending distribution system based on big data.
Background
Vending machines are often seen in our lives, which bring certain convenience to people who have a consumer demand in the way by placing some products inside and arranging them in certain positions.
Products in the vending machine are usually bottled or filled with drinks, which are most common, but when a user purchases the drinks through the vending machine, the user can determine whether the vending machine has related products required by the vending machine by checking goods displayed on the surface of the vending machine or pages displayed by a terminal scan code, and when the vending machine has large capacity (excessive drink types exist) and the pages displayed by the terminal scan code are more (the user turns pages repeatedly), the efficiency effect is definitely brought to the experience of the user for searching the related drink products (because the time is consumed, and meanwhile, the condition of easy omission and neglect is also caused during checking, and the user experience is influenced);
for the delivery enterprises of the vending machine, the display positions of the products are comprehensively considered according to the current seasons and the product purchase amount, the display positions of the products on the vending machine are properly adjusted to increase sales amount, that is, the situation that the products originally above are regulated to other positions such as the middle part, the lower part and the side parts at certain intervals exists, therefore, even users who have experienced the use of the vending machine cannot quickly determine the original positions of the products according to the positions of the products purchased before, and users with urgent beverage purchase demands are more inconvenient to users;
in this case, however, if the user just has other users to purchase the beverage in the process of going to, how to provide the user with the beverage to solve the problem that the user cannot purchase the beverage is the problem that needs to be solved at present.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides the automatic vending distribution system based on big data, which can effectively solve the problems that the product position of the automatic vending machine is inconvenient to be determined by a user and the product inventory is insufficient when the user in the automatic vending machine needs due to the change of the product position in the prior art.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
the invention provides an automatic vending distribution system based on big data, which comprises a monitoring and identification system for collecting current portrait information of a user, wherein the output end of the monitoring and identification system is connected with a category self-recommendation unit for determining historical purchase information of the user according to the portrait information and determining products purchased by the user for many times in the historical purchase information, the category self-recommendation unit is also used for setting the products as target products, recommending other products associated with the target products according to the target products, setting the target products and the other products as comprehensive products and generating recommendation information according to the comprehensive products, and the automatic vending distribution system also comprises the following components:
the multiparty stock quantity monitoring system is connected with the output end of the class self-recommending unit and used for monitoring the stock quantity of the vending machine;
the recommendation point calibration system is connected with the output end of the multiparty inventory monitoring system and is used for recommending other vending machines with comprehensive products in inventory when the inventory of the comprehensive products in the vending machine where the user is located is insufficient, and the recommendation point calibration system is used for regenerating other vending machines again when the inventory of the comprehensive products in other vending machines is temporarily insufficient, so that service conditions are generated;
and the bidirectional service docking system is connected with the output end of the recommendation point calibration system and used for judging the specific positions of the other vending machines, and the bidirectional service docking system can also generate bidirectional service suggestions according to service conditions so as to regulate and control the service states according to the bidirectional service suggestions.
Further, the category self-recommending unit comprises a data analyzing module for analyzing the same product purchased for many times in the historical purchase information of the user, the product is set as a target product, the output end of the data analyzing module is connected with a category recommending module for determining the same category related product according to the target product, the determined product is recorded as other products, and accordingly a comprehensive product is created and recommended to the user by generating recommending information.
Further, the multiparty stock quantity monitoring system comprises a starting point stock monitoring module for monitoring the stock of the vending machine at the position where the user is, and the output end of the starting point stock monitoring module is connected with a range stock monitoring module for monitoring the stock of other vending machines.
Further, the recommendation point calibration system comprises a recommendation point generation module, when a user purchases the comprehensive product with the current vending machine, and when the inventory of the comprehensive product of the vending machine can not meet the demand of the user order, the recommendation point generation module collects other vending machines with the comprehensive product in the range inventory monitoring module monitoring information and sends information of the other vending machines to the terminal equipment of the user.
Further, when the recommendation point generating module collects information of other vending machines, the other vending machines are determined under the set range of the current vending machine position of the user.
Further, the output end of the recommendation point generating module is connected with a position monitoring and recording module, when other vending machine information is sent to terminal equipment of a user, the position monitoring and recording module monitors the position of the user, and according to the monitoring condition of the range inventory monitoring module on the inventory of the other vending machine, when the range inventory monitoring module judges that the temporary shortage of the inventory of the comprehensive products in the other vending machine occurs, the range inventory monitoring module generates goods shortage information and sends the goods shortage information to the terminal equipment of the user.
Further, when the goods shortage information is generated, the recommendation point generating module redetermines other vending machines storing comprehensive products according to the current position and the set range of the user according to the position of the user monitored by the position monitoring and recording module, and sends the information of the other vending machines to the user terminal equipment.
Further, the bi-directional service docking system includes a bi-directional service setup module for acquiring other vending machine locations and for generating bi-directional service suggestions to the user upon generation of the service condition.
Further, upon generation of the bi-directional service suggestion, the bi-directional service creation module transmits to the user terminal device a time synchronization required for the other vending machine to travel to the user location, wherein:
the output end of the two-way service establishment module is connected with a preferred path generation module, the preferred path generation module sets the time required by the travel of other vending machines to the user position as a set time, and the preferred path generation module generates a travel route reaching the current position of the user under the limiting conditions of the set time and the path replenishment point.
Compared with the prior art, the technical scheme provided by the invention has the following beneficial effects:
1. the method has the advantages that the products purchased by the user for many times are determined in the historical purchase information, other products similar to the products are determined through the similar product recommendation module, the products are marked as comprehensive products and pushed to the user, the comprehensive products comprise product names, position serial numbers, tastes and the like, the user is guided to rapidly determine the comprehensive products, the problem that purchase experience is affected due to the fact that the position of the product cannot be determined by the user with urgent purchase demands is solved, and the inconvenience brought to the purchase demands of the user due to display change of vending machine products is solved.
2. When the product is temporarily sold by other vending machines to which the user goes, a multiparty stock quantity monitoring system is used for generating a prompt message to the user, a recommendation point generating module is used for redefining other vending machines existing nearby the user, and the bidirectional service docking system is used for sending bidirectional service suggestions to the user by the other vending machines determined by the recommendation point generating module, namely, other solutions are generated:
the user is provided with services for enabling other vending machines to go to the position of the user, so that purchase exception handling is performed for the user in the situation by establishing two service modes that the user can go to the other vending machines by himself or go to the position of the user by the other vending machines, and various solutions are provided.
3. The bidirectional service docking system takes the set time as a standard, determines a driving route to the position of the user by taking the approach replenishment point and the time as limiting conditions, can timely replenish corresponding product stock at the automatic vending approach replenishment point when the automatic vending machine reaches the comprehensive product return starting point of the position of the user, not only realizes convenient service of purchasing products for the user, but also ensures that the stock products consumed in time are conveniently replenished, and can be more suitable for being applied to the current automatic vending machine.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
Fig. 1 is an overall block diagram of the module of the present invention.
Reference numerals in the drawings represent respectively:
10. monitoring an identification system;
20. a category self-recommendation unit; 201. a data analysis module; 202. a similar product recommending module;
30. a multi-party inventory monitoring system; 301. a starting point inventory monitoring module; 302. a range inventory monitoring module;
40. a recommended point calibration system; 401. a recommendation point generation module; 402. a position monitoring and recording module;
50. a two-way service docking system; 501. a bidirectional service establishment module; 502. the preferred path generation module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to examples.
Referring to fig. 1, example 1: the automatic vending distribution system based on big data comprises a monitoring and identification system 10 for collecting current portrait information of a user, wherein the output end of the monitoring and identification system 10 is connected with a category self-recommendation unit 20 for determining historical purchase information of the user according to the portrait information and determining products purchased by the user for many times in the historical purchase information, the category self-recommendation unit 20 is also used for setting the products as target products, recommending other products associated with the target products according to the target products, setting the target products and the other products as comprehensive products and generating recommendation information according to the comprehensive products; the monitoring and identifying system 10 is used for collecting the portrait information of the user in front of the vending machine (for the monitoring and identifying system 10, the monitoring and identifying system can be realized by installing monitoring equipment on the vending machine and communicating with the system, the monitoring equipment is used for collecting the portrait information and identifying and contrasting the portrait information, so that the technology is not repeated), the historical purchase information of the portrait corresponding to the portrait is screened in the database by means of the portrait information, further, more products purchased by the user can be determined through the category self-recommending unit 20 in the historical purchase information, other products in the same category with the products are determined through the products, the products are set as comprehensive products, and the comprehensive products can be recommended to the user by generating recommending information through the category self-recommending unit 20, so that the user can know the position of the comprehensive products when buying, and is convenient to directly place the comprehensive products;
wherein, the comprehensive product is generated jointly based on the product with a large purchase amount by the user, and the example is: when the historical purchase information shows that green tea is purchased for many times, green tea can be used as a target product, and other products are green tea, but are not in the same brand or taste with the target product, so that product recommendation guidance can be generated for the user, on one hand, the user can know products of other products, on the other hand, selectable directions of different products can be provided for the user, convenience of the user in using the vending machine is improved, and user experience is improved;
referring to the above, the multi-party inventory monitoring system 30 connected to the output of the class self-recommending unit 20 for monitoring the inventory of the vending machine, the recommending point calibrating system 40 connected to the output of the multi-party inventory monitoring system 30 for recommending other vending machines with inventory of the integrated product when the inventory of the integrated product is insufficient in the vending machine where the user is located, and the recommending point calibrating system 40 regenerates other vending machines again when the inventory of the integrated product is temporarily insufficient in other vending machines, and generates the service condition according to the same;
the bidirectional service docking system 50 is connected with the output end of the recommendation point calibration system 40 and is used for judging the specific positions of the other vending machines, and the bidirectional service docking system 50 can also generate bidirectional service suggestions according to service conditions so as to regulate and control service states according to the bidirectional service suggestions;
according to the above, when the user performs the code scanning order by recommending information, the multi-party stock quantity monitoring system 30 monitors the stock quantity of the comprehensive product of the vending machine used by the user at present and other vending machines in real time, when the stock quantity of the vending machine used by the user is insufficient, the recommending point calibration system 40 can determine other vending machines in which the comprehensive product is stored, at this time, the recommending point calibration system 40 sends the determined positions of the other vending machines to the terminal equipment used by the user (the terminal equipment can be a mobile phone, a tablet and the like) so as to provide the user with other vending machines capable of purchasing the comprehensive product, thereby solving the problem that the user cannot purchase due to the insufficient goods of the vending machine initially used by the user;
when the user goes to other vending machine through the recommendation point calibration system 40, the multi-party stock monitoring system 30 still monitors the stock condition of the other vending machine in real time, and when the comprehensive product in the other vending machine to which the user goes is just purchased by other users in the process, and the comprehensive product is not in stock, the multi-party stock monitoring system 30 instantly generates a prompt message to the user, and thus establishes a service condition, the recommendation point calibration system 40 re-determines other vending machines existing nearby according to the current position of the user, and sends the other vending machines at the position to the user, and the bidirectional service proposal is sent to the user by the other vending machines determined by the recommendation point calibration system 40, so that the user can provide services for the user to enable the other vending machines to go to the position of the user, without the service condition that the user goes to the position, and can make up for the abnormal situation that the user cannot make up for the situation by the user by setting up the automatic vending machine to which the user can go to the position and by clicking whether the service condition is determined by clicking the service condition, and the user can make up for the abnormal situation that the user is not good by the method;
finally, when the user determines to select the position of the other vending machine to go to the user, the bidirectional service docking system 50 establishes a driving path to be transmitted to the other vending machine for the other vending machine to perform automated service, so that the situations that the user cannot purchase the product and the purchase experience is poor due to insufficient inventory of the product when the user purchases the product by using the vending machine at present can be solved.
In summary, the vending distribution system generated by the vending machine according to the present invention is described specifically for the above-mentioned embodiments, as follows:
the category self-recommending unit 20 comprises a data analyzing module 201 for analyzing the same product purchased for a plurality of times in the historical purchase information of the user, and setting the product as a target product, wherein the output end of the data analyzing module 201 is connected with a category recommending module 202 for determining the same category of related products according to the target product, and marking the determined products as other products, thereby creating a comprehensive product and recommending the comprehensive product to the user by generating recommending information; in this embodiment (the monitoring and recognition system 10 records the portrait of each purchased product and creates a portrait database accordingly, and the system records the portrait only as related information data for determining the purchased product, and does not involve other uses of the portrait information), the data analysis module 201 can directly select a product with a large number of purchases of portrait information in the historical purchase information, determine other products (such as green tea produced by different enterprises or green tea with different tastes) according to the information to which the product belongs, and then generate recommendation information according to the comprehensive information, where the recommendation mode of the recommendation information may be: the method can automatically play the advertisement information of the product according to the playing equipment existing on the vending machine, can play the information of the product through the player in a voice mode, and specifically prompts the serial number of the integrated product on the vending machine to a user in a picture display or voice play informing mode, so that the user can quickly find out the entity corresponding to the product on the vending machine, and can also quickly find out the product on a terminal page (the terminal page refers to a product purchasing page displayed by a bar code of the vending machine scanned by the user), thereby greatly improving convenience when the user selects the integrated product, and saving time consumption when the user purchases the product;
for some users who do limb exercises, the users are usually tired, and the products are required to make up part of the energy lost by the users (the products in the scheme are usually drinks, so the corresponding part of energy is just like the moisture lost by body movement), the users are guided to quickly determine the comprehensive products in the convenient recommendation mode, the time for the users to review the products is reduced, and good purchase experience requirements can be provided for the users who are required to be required to do exercises due to the users;
secondly, through the determined comprehensive products, the understanding opinion of the similar products generated based on the original purchased products (the original products are the products which are purchased by the user for a large number of times before) is relatively provided for the user, so that multiple choices for purchase can be provided for the user, and meanwhile, when some new products are put in the vending machine, the automatic popularization of the products can be realized, and further, the system is more convenient to apply to the vending machine;
with reference to the foregoing, it should be noted that, the user cannot quickly determine the position of the product purchased before on the vending machine, and generally, for the delivery enterprise of the vending machine, the display position of the product will be comprehensively considered according to the current season and the product purchase amount, and the display position of the product on the vending machine will be properly adjusted to increase sales, that is, there will be a case that the product originally above is regulated to other positions such as the middle, the lower, the side and the like at a certain time interval, so the user cannot determine the position of the product according to the position of the product purchased before, and further, for this case, the system can perform good handling to provide convenience for the user.
The multi-party inventory monitoring system 30 comprises a starting point inventory monitoring module 301 for monitoring the inventory of the vending machine at the position where the user is located, wherein the output end of the starting point inventory monitoring module 301 is connected with a range inventory monitoring module 302 for monitoring the inventory of other vending machines; the stock quantity of the vending machine products can be monitored in real time through the initial point stock monitoring module 301 and the range stock monitoring module 302, so that when the product stock of the vending machine is insufficient, a control terminal can be indicated, and control terminal personnel can conveniently carry out replenishment on the vending machine; however, since replenishment takes a certain time and immediate replenishment is not completed due to the shortage of the stock in the vending machine, the above problem of shortage of stock still exists.
The recommendation point calibration system 40 includes a recommendation point generating module 401, when a user purchases a comprehensive product with a current vending machine, and when the inventory of the comprehensive product of the vending machine cannot meet the demand of the user order, the recommendation point generating module 401 collects other vending machines with inventory of the comprehensive product in the range inventory monitoring module 302 to monitor information, and sends information of the other vending machines to a terminal device of the user, wherein:
when the recommendation point generating module 401 collects information of other vending machines, other vending machines are determined under the preset range of the current vending machine position of the user, the preset range can be determined according to the putting interval distance of the vending machine, a range of 500-1000m is usually selected, or distance information can be generated by the recommendation point generating module 401 and sent to the user for selection, the distance information can be provided with various distance ranges such as 500m, 800m and 1000m, and the like, the preset range is determined according to the distance information selected by the user, and the range for inquiring the vending machine can be determined; in summary, by selecting only other vending machines in the predetermined range through the recommendation point generating module 401, some other vending machines suitable for the current distance can be selected for the user, and in the predetermined range, the system can automatically allocate one other vending machine closest to the user, so that the distance of the user to the other vending machine can be shortened, and then the determined positions of the other vending machines can be sent to the terminal device of the user, so as to provide convenience for searching for the user.
Then, the output end of the recommendation point generating module 401 is connected with a position monitoring and recording module 402, when other vending machine information is sent to the terminal equipment of the user, the position monitoring and recording module 402 monitors the position of the user, and according to the monitoring condition of the range inventory monitoring module 302 on the inventory of the other vending machine, when the range inventory monitoring module 302 judges that the temporary shortage of the inventory of the comprehensive products in the other vending machine occurs, the range inventory monitoring module 302 generates goods shortage information and sends the goods shortage information to the terminal equipment of the user; in this process, when the user goes to the other vending machine position determined by the recommendation point generating module 401, during the process of monitoring the inventory of the other vending machine, when the comprehensive product in the other vending machine is just purchased by other users to cause insufficient inventory in the process of going to the user, the range inventory monitoring module 302 generates insufficient goods information and sends the insufficient goods information to the user in a short message mode to predict that the user does not need to go to the position of the other vending machine any more, so as to form timely predicted reminding, thereby avoiding the situation that the user still cannot purchase the comprehensive product after going to the other vending machine, and reducing the influence on user experience.
When the information of the goods shortage is generated, the recommendation point generating module 401 redetermines other vending machines storing the comprehensive products according to the position of the user monitored by the position monitoring and recording module 402 and the current position and the set range of the user (the determined other vending machines are not required to be in the vending machines which are in transaction and the user does not exist right in front of the monitoring and identifying system 10, and the current money transaction system and the monitoring and identifying system 10 are communicated with the system and the control terminal, so that the condition can be directly obtained), and sends the information of the other vending machines to the user terminal equipment; in this process, the recommendation point generating module 401 redetermines other vending machines according to the current position of the user and the predetermined range, and the predetermined range is identical to the above, which is not described herein, and redelivered the determined other vending machines to the user, and at this time, the recommendation point calibration system 40 synchronously generates service conditions, where the service conditions refer to: when the information of the other vending machine is determined secondarily, the determination condition for the operation of the two-way service docking system 50 is generated, otherwise, the two-way service docking system 50 is not operated.
The bi-directional service docking system 50 includes a bi-directional service creation module 501, where upon generation of a service condition, the bi-directional service creation module 501 is configured to obtain other vending machine locations and is further configured to generate bi-directional service suggestions to a user, the bi-directional service suggestions being: when the service condition is generated, the bidirectional service creation module 501 forms service condition information for the user when acquiring other vending machine positions, where the service condition information may be: whether other vending machines are called to go to the position of the user or not and the user needs to keep the current position unchanged, when the user replies yes, the secondarily determined other vending machines can conduct the walk with the current position of the user as a target, the service condition can be generated at the moment, the user is provided with a processing solution when the purchase of the comprehensive product is affected (the user only needs to wait at the current position and does not need to go to the position of the other vending machines again), so that the user is provided with convenient purchase requirements, and the poor experience of the user caused by the situation is relatively compensated;
wherein, when the user replies no, the other vending machine does not execute the command;
it should be noted that, because the current position of the user is recorded by the system in real time, the system can acquire map information in real time, when the user is located on the zebra stripes, the system prohibits the user from clicking to be a command, and the command for prohibiting the user from clicking is sent to the user synchronously along with service condition information, so that the operation control of the system on the vending machine can be safely realized (for the vending machine, the current technology can be realized according to the target command line path, and the specific realization principle is the same as that of the current delivery robot, therefore, the scheme does not need to repeat the technology).
Example 2
Considering the situation that other vending machines can have insufficient inventory of goods when vending the comprehensive product to the user, the follow-up vending machine is affected to continuously provide service for the user:
upon generation of the bi-directional service advice, the bi-directional service creation module 501 transmits the time synchronization required for the other vending machine to travel to the user's location to the user terminal device, wherein:
the output end of the bidirectional service creation module 501 is connected with a preferred path generation module 502, the preferred path generation module 502 sets the time required by the other vending machine to travel to the user position as a set time, and the preferred path generation module 502 generates a travel route reaching the current position of the user under the limiting conditions of the set time and the route replenishment point; in this embodiment, the predetermined time is used as a standard, and on the basis of meeting the requirement that the user can accept the arrival time, the limit condition of the approach replenishment point is set for other vending machines, so that the approach replenishment point exists in the driving route, and the replenishment point is the inventory point capable of replenishing the vending machine, therefore, when other vending machines arrive at the position of the user and the integrated product is in the process of returning to the initial point, the range inventory monitoring module 302 monitors the inventory of the other vending machines in real time, and therefore, when the range inventory monitoring module 302 finds that the inventory of the other vending machines is insufficient and is close to the current replenishment point, the background staff can control the other vending machines to stop running and timely replenish the inventory of the corresponding products, at this time, not only the convenient service of purchasing the products for the user is realized, but also the consumed inventory products can be conveniently replenished, so that the system can be well applied to the vending machines on the current market.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; these modifications or substitutions do not depart from the essence of the corresponding technical solutions from the protection scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. The automatic vending distribution system based on big data comprises a monitoring and identification system (10) for collecting current portrait information of a user, wherein the output end of the monitoring and identification system (10) is connected with a category self-recommendation unit (20) for determining historical purchase information of the user according to the portrait information and determining products purchased by the user for many times in the historical purchase information, and the automatic vending distribution system is characterized in that the category self-recommendation unit (20) is also used for setting the products as target products and recommending other products associated with the target products according to the target products, setting the target products and the other products as comprehensive products and generating recommendation information according to the comprehensive products, and the automatic vending distribution system further comprises the following components:
a multiparty stock quantity monitoring system (30) connected with the output end of the class self-recommending unit (20) and used for monitoring the stock quantity of the vending machine;
a recommending point calibrating system (40) connected with the output end of the multiparty stock monitoring system (30) and used for recommending other vending machines with comprehensive products in stock when the comprehensive products in the vending machine where the user is located are insufficient, and regenerating other vending machines by the recommending point calibrating system (40) when the comprehensive products in the other vending machines temporarily have insufficient stock, and generating service conditions according to the recommending point calibrating system;
and the bidirectional service docking system (50) is connected with the output end of the recommendation point calibration system (40) and is used for judging the specific positions of the other vending machines, and the bidirectional service docking system (50) can also generate bidirectional service suggestions according to service conditions so as to regulate and control service states according to the bidirectional service suggestions.
2. The big data based vending distribution system according to claim 1, wherein the category self-recommendation unit (20) comprises a data analysis module (201) for analyzing the same product purchased a plurality of times in the historical purchase information of the user, and setting the product as a target product, wherein the output end of the data analysis module (201) is connected with a category recommendation module (202) for determining that the product is a category associated product according to the target product, and marking the determined product as other products, thereby creating a comprehensive product and recommending the product to the user by generating recommendation information.
3. The big data based vending distribution system of claim 1, wherein the multiparty inventory monitoring system (30) comprises a starting point inventory monitoring module (301) for monitoring the vending machine inventory at the location of the user, wherein the output of the starting point inventory monitoring module (301) is connected with a range inventory monitoring module (302) for monitoring the inventory of other vending machines.
4. A big data based vending distribution system according to claim 3, wherein the recommendation point calibration system (40) comprises a recommendation point generation module (401), when the user purchases the integrated product with the current vending machine, and when the inventory of the integrated product of the vending machine cannot meet the demand of the user order, the recommendation point generation module (401) collects other vending machines with the integrated product in the range inventory monitoring module (302) to monitor information, and sends the information of the other vending machines to the terminal equipment of the user.
5. The big data based vending dispenser system of claim 4, wherein the recommendation point generation module (401) determines other vending machines with a given range of vending machine locations at which the user is currently located when collecting other vending machine information.
6. The big data based vending distribution system according to claim 5, wherein the output end of the recommendation point generating module (401) is connected with a position monitoring recording module (402), when other vending machine information is sent to the terminal device of the user, the position monitoring recording module (402) monitors the position of the user, and according to the monitoring condition of the range inventory monitoring module (302) on the inventory of the other vending machine, when the range inventory monitoring module (302) determines that the inventory of the integrated product in the other vending machine is temporarily insufficient, the range inventory monitoring module (302) generates and sends the goods insufficient information to the user terminal device.
7. The big data based vending distribution system according to claim 6, wherein when the article shortage information is generated, the recommendation point generating module (401) redetermines other vending machines storing the comprehensive product according to the current position of the user and the predetermined range according to the position of the user monitored by the position monitoring recording module (402), and sends the information of the other vending machines to the user terminal equipment.
8. The big data based vending distribution system of claim 1, wherein the bi-directional service docking system (50) comprises a bi-directional service creation module (501), the bi-directional service creation module (501) being configured to obtain other vending machine locations upon generation of a service condition, and further configured to generate bi-directional service advice to a user.
9. The big data based vending distribution system of claim 8, wherein upon generation of the bi-directional service proposal, the bi-directional service creation module (501) transmits the time synchronization required for the other vending machine to travel to the user's location to the user terminal device, wherein:
the output end of the bidirectional service establishment module (501) is connected with a preferable path generation module (502), the preferable path generation module (502) sets the time required by other vending machine paths to the user position as a set time, and the preferable path generation module (502) generates a running route reaching the current position of the user under the limit conditions of the set time and the path replenishment point.
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