CN117391815A - Online order management system and intelligent distribution method for unmanned supermarket - Google Patents
Online order management system and intelligent distribution method for unmanned supermarket Download PDFInfo
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- 238000012384 transportation and delivery Methods 0.000 claims description 23
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- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
- G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials
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Abstract
The invention relates to the technical field of order processing and distribution, and discloses an online order management system and an intelligent distribution method for an unmanned supermarket; the on-line order management system of the unmanned supermarket comprises a comprehensive management system, wherein the comprehensive management system is used for carrying out transmission management and safety management on all data in the on-line order management system of the unmanned supermarket.
Description
Technical Field
The invention belongs to the technical field of order processing and distribution, and particularly relates to an online order management system and an intelligent distribution method for an unmanned supermarket.
Background
The supermarket without salesmen is also called an unmanned supermarket. Not the sales clerk, but a safe or coin box is responsible for the collection of money. After the customer purchases the commodity, the money is thrown into the safe or the coin box according to the price, and one business is completed.
With popularization of online take-out, the intelligent taking of ordered commodities is needed when an unmanned supermarket carries out management of online orders, the existing unmanned supermarket generally takes the ordered commodities back and forth singly when taking the online orders, the method needs longer time, so that the standby time is overlong, the subsequent delivery time is shortened, bad use experience is brought to users, the existing management method is insufficient in verification of correctness of the taken objects, the problem that the account entering and the account exiting of the unmanned supermarket are difficult to match is caused, and trouble is brought to follow-up; thus, improvements are now needed for the current situation.
Disclosure of Invention
Aiming at the situation, in order to overcome the defects of the prior art, the invention provides the online order management system and the intelligent distribution method for the unmanned supermarket, which effectively solve the problem that the online order management of the unmanned supermarket needs to be intelligently taken, the existing unmanned supermarket generally takes the ordered commodity back and forth by singly taking the ordered commodity, the method needs longer time, so that the stock time is overlong, the subsequent distribution time is shortened, bad use experience is brought to users, and the existing management method is insufficient in verification of the correctness of the taken object, so that the problem that the online order commodity is difficult to match is possibly caused, and the problem that the follow-up trouble is brought.
In order to achieve the above purpose, the present invention provides the following technical solutions: the system comprises a comprehensive management system, wherein the comprehensive management system is used for carrying out transmission management and safety management on all data in the order management system on the unmanned supermarket;
region dividing system: the area dividing system is used for dividing the areas of the shelves in the unmanned supermarket, and the areas are divided according to the goods category of the shelves in the unmanned supermarket when the areas are divided, and the number of the divided areas is at least 3-6;
the classification word corresponding system: the classifying word corresponding system is used for corresponding the commodity classifying words in the divided area to the area, establishing an area classifying library, and inputting specific commodity names and positions into the area classifying library;
order receiving system: the order receiving system is used for receiving real-time orders of the unmanned supermarket, sending out reminding of the real-time orders and synchronizing the orders to a subsequent system, and the specific sources of the orders comprise an online take-out APP and an online applet;
order analysis system: the order analysis system is used for receiving order information synchronized by the order receiving system and analyzing the order information through an intelligent analysis algorithm, and the analysis process specifically comprises the steps of carrying out scanning analysis on the content of the order information, extracting keywords after the analysis is finished, and corresponding the keywords to a corresponding regional classification library;
article taking system: the article taking system is used for synchronizing the analysis result of the order analysis system to the article taking robot, moving the article taking robot to the corresponding region classification library, and taking the corresponding commodity according to the commodity name of the order;
item correspondence system: the article corresponding system is used for centralizing the articles fetched by the article fetching system, scanning the articles through the scanning device, and after the scanning is finished, corresponding scanned article information and order information and outputting the result;
item settlement system: the article settlement system is used for carrying out scanning settlement on the confirmed articles, comparing the amount after scanning settlement with the amount of the order, packaging the articles when the result is error-free, and outputting the result;
the following management system: the follow-up management system is used for receiving the result sent by the article settlement system, transmitting the articles which are settled and packaged to the intelligent distribution system, and correspondingly distributing the articles by the intelligent distribution system;
a data storage system: the data storage system is used for synchronously storing operation data in the order management system on the unmanned supermarket line in real time, wherein the operation data specifically comprises settlement data, analysis data and video data.
Preferably, the classifying word corresponding system specifically adopts one or a combination of more of Tf-idf algorithm, textRank algorithm, LSI algorithm, LDA algorithm, rake algorithm or YAKE algorithm when extracting commodity classifying words.
Preferably, the order receiving system carrier is specifically one or a combination of several of a calculator, a mobile phone, an IPAD or a notebook, and is connected with an order printing device.
Preferably, the intelligent analysis algorithm adopted in the order analysis system is specifically one or a combination of more of an artificial neural network technology, a genetic algorithm, a simulated annealing algorithm, a genetic algorithm, an immune algorithm or a particle swarm algorithm.
Preferably, the object taking robot in the object taking system specifically comprises one or a combination of a plurality of SCARA robots, parallel robots, delta robots or wheeled robots.
Preferably, the article corresponding system specifically adopts one or a combination of a plurality of text comparison algorithms, LCS algorithm and java text comparison algorithm when corresponding the articles.
Preferably, the intelligent distribution system specifically adopts an unmanned aerial vehicle for distribution when carrying out article distribution, and the unmanned aerial vehicle adopts a regional distribution method when carrying out distribution.
Preferably, an intelligent distribution method of orders on an unmanned supermarket line comprises the following steps:
s1: address analysis: firstly, carrying out regional division on distribution addresses around the unmanned supermarket, receiving the addresses of orders on the unmanned supermarket line, corresponding the addresses to a scene map, analyzing the corresponding addresses, namely classifying routes with the same axis in the same region, and corresponding and marking order information corresponding to the addresses;
s2: gravimetric analysis: on the basis of the step S1, weighing and analyzing the marked orders, if the weight of the orders exceeds the maximum bearing weight of the unmanned aerial vehicle, intelligently distributing the corresponding orders to nearby distributors, and if the weight of the orders is smaller than the maximum bearing weight of the unmanned aerial vehicle, intelligently distributing the corresponding orders to the unmanned aerial vehicle with corresponding axes;
s3: intelligent delivery: on the basis of the step S2, intelligent delivery is carried out on the ordered articles according to the axis distance and the comprehensive consideration of the order delivery time, and if the axis distance is within 1-2km, the order delivery time is preferentially considered; if the delivery time is the same, giving priority to orders with axes far away for delivery; if the addition of the weight of the orders is smaller than the maximum bearing weight of the unmanned aerial vehicle, carrying out axis simultaneous distribution;
s4: tracking management: and on the basis of the step S3, tracking management is carried out on the distribution process of the unmanned aerial vehicle through a remote tracking management program, and tracking management information is displayed and stored to a background management end.
Compared with the prior art, the invention has the beneficial effects that: 1. the method comprises the steps of dividing the area of a goods shelf in an unmanned supermarket, dividing the goods in the divided area in a finer manner, establishing an area classification library, inputting specific goods names and positions into the area classification library, carrying out scanning analysis on ordered goods in the order when the unmanned supermarket has the order, extracting keywords, then moving a robot to the position corresponding to the area classification library according to the keywords, carrying out corresponding goods taking according to the goods names of the order, dividing the area of the unmanned supermarket, carrying out information extraction on the order, carrying out area positioning according to the extracted information, and carrying out goods taking, so that the goods taking rate of the unmanned supermarket order can be effectively improved, more sufficient time is reserved for subsequent order delivery, the influence on goods delivery due to overlong goods taking time is avoided, and the use experience of a goods receiver is influenced;
2. after goods are taken, the scanning device is used for scanning the goods, scanned goods information and order information are corresponding, the confirmed goods are subjected to scanning settlement, the amount after the scanning settlement is compared with the amount of the order, the accuracy of taking the goods in the order can be ensured through double verification, wrong goods are prevented from being taken, account-out and account-in of an unmanned supermarket are difficult to match, and bad use experience is brought to users;
3. the order addresses are divided and correspond to the scene map, after the order is packed, the weight of the order is weighed, the distribution of a distributor or an unmanned aerial vehicle is carried out according to the weight, and when the unmanned aerial vehicle is distributed, the intelligent distribution of the order objects is carried out according to the axis distance and the comprehensive consideration of the order distribution time, so that the distribution speed of the order can be ensured, and the problem of distribution disorder caused by unclear distribution planning can be avoided.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention.
In the drawings:
FIG. 1 is a block diagram of an order management system on an unmanned supermarket line;
fig. 2 is a flow chart of an intelligent distribution method of orders on an unmanned supermarket line.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only 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.
As shown in fig. 1, the present invention provides a technical solution: the system comprises a comprehensive management system, wherein the comprehensive management system is used for carrying out transmission management and safety management on all data in the order management system on the unmanned supermarket;
region dividing system: the area dividing system is used for dividing the areas of the shelves in the unmanned supermarket, and particularly dividing the shelves according to the goods category of the shelves in the unmanned supermarket when dividing the areas, wherein the number of the divided areas is at least 3-6;
the classification word corresponding system: the classifying word corresponding system is used for corresponding the commodity classifying words in the divided areas to the areas, establishing an area classifying library, and inputting specific commodity names and positions into the area classifying library;
order receiving system: the order receiving system is used for receiving real-time orders of the unmanned supermarket, sending out reminding of the real-time orders, and synchronizing the orders to a subsequent system, wherein specific sources of the orders comprise an online take-out APP and an online applet;
order analysis system: the order analysis system is used for receiving order information synchronized by the order receiving system and analyzing the order information through an intelligent analysis algorithm, the analysis process specifically comprises the steps of scanning and analyzing the content of the order information, extracting keywords after the analysis is finished, and corresponding the keywords to a corresponding regional classification library;
article taking system: the article taking system is used for synchronizing the analysis result of the order analysis system to the article taking robot, moving the article taking robot to the corresponding region classification library, and taking the corresponding commodity according to the commodity name of the order;
item correspondence system: the article corresponding system is used for centralizing the articles fetched by the article fetching system, scanning the articles by the scanning device, and after the scanning is finished, corresponding scanned article information and order information and outputting the result;
item settlement system: the article settlement system is used for carrying out scanning settlement on the confirmed articles, comparing the scanned and settled amount with the order amount, packaging the articles when the result is error-free, and outputting the result;
the following management system: the follow-up management system is used for receiving the result sent by the article settlement system, transmitting the articles which are settled and packed to the intelligent distribution system, and correspondingly distributing the articles by the intelligent distribution system;
a data storage system: the data storage system is used for synchronously storing operation data in the order management system on the unmanned supermarket line in real time, wherein the operation data specifically comprises settlement data, analysis data and video data.
The classifying word corresponding system specifically adopts one or a combination of more of Tf-idf algorithm, textRank algorithm, LSI algorithm, LDA algorithm, rake algorithm or YAKE algorithm when extracting commodity classifying words; the order receiving system carrier is one or a combination of a calculator, a mobile phone, an IPAD or a notebook, and is connected with the order printing device; the intelligent analysis algorithm adopted in the order analysis system is specifically one or a combination of more of an artificial neural network technology, a genetic algorithm, a simulated annealing algorithm, a genetic algorithm, an immune algorithm or a particle swarm algorithm; the article taking robot in the article taking system comprises one or a combination of a plurality of SCARA robots, parallel robots, delta robots or wheeled robots; the article corresponding system specifically adopts one or a combination of a plurality of text comparison algorithms, LCS algorithm and java text comparison algorithm when corresponding the articles; the intelligent distribution system specifically adopts an unmanned aerial vehicle for distribution when carrying out article distribution, and adopts a regional distribution method when carrying out distribution.
The method comprises the steps of dividing the area of a goods shelf in an unmanned supermarket, dividing the goods in the divided area in a finer manner, establishing an area classification library, inputting specific goods names and positions into the area classification library, carrying out scanning analysis on ordered goods in the order when the unmanned supermarket has the order, extracting keywords, then moving a robot to the position corresponding to the area classification library according to the keywords, carrying out corresponding goods taking according to the goods names of the order, dividing the area of the unmanned supermarket, carrying out information extraction on the order, carrying out area positioning according to the extracted information, and carrying out goods taking, so that the goods taking rate of the unmanned supermarket order can be effectively improved, more sufficient time is reserved for subsequent order delivery, the influence on goods delivery due to overlong goods taking time is avoided, and the use experience of a goods receiver is influenced; after commodity taking, the scanning device is used for scanning the commodity, scanned commodity information and order information are corresponding, the confirmed commodity is subjected to scanning settlement, the amount after the scanning settlement is compared with the amount of the order, the commodity taking correctness of the order can be ensured through double verification, wrong commodity taking is avoided, account-out and account-in of an unmanned supermarket are difficult to match, and bad use experience is brought to users.
As shown in fig. 2, the present invention provides a technical solution: an intelligent distribution method of an order on an unmanned supermarket line comprises the following steps:
s1: address analysis: firstly, carrying out regional division on distribution addresses around the unmanned supermarket, receiving the addresses of orders on the unmanned supermarket line, corresponding the addresses to a scene map, analyzing the corresponding addresses, namely classifying routes with the same axis in the same region, and corresponding and marking order information corresponding to the addresses;
s2: gravimetric analysis: on the basis of the step S1, weighing and analyzing the marked orders, if the weight of the orders exceeds the maximum bearing weight of the unmanned aerial vehicle, intelligently distributing the corresponding orders to nearby distributors, and if the weight of the orders is smaller than the maximum bearing weight of the unmanned aerial vehicle, intelligently distributing the corresponding orders to the unmanned aerial vehicle with corresponding axes;
s3: intelligent delivery: on the basis of the step S2, intelligent delivery is carried out on the ordered articles according to the axis distance and the comprehensive consideration of the order delivery time, and if the axis distance is within 1-2km, the order delivery time is preferentially considered; if the delivery time is the same, giving priority to orders with axes far away for delivery; if the addition of the weight of the orders is smaller than the maximum bearing weight of the unmanned aerial vehicle, carrying out axis simultaneous distribution;
s4: tracking management: and on the basis of the step S3, tracking management is carried out on the distribution process of the unmanned aerial vehicle through a remote tracking management program, and tracking management information is displayed and stored to a background management end.
Through the steps, the order addresses are divided and correspond to the scene map, after the order is packed, the weight of the order is weighed, the distribution of the distribution staff or the unmanned aerial vehicle is carried out according to the weight, and when the unmanned aerial vehicle is distributed, the intelligent distribution is carried out on the order articles according to the axis distance and the comprehensive consideration of the order distribution time, so that the distribution speed of the order can be ensured, and the problem of disorder distribution caused by unclear distribution planning can be avoided.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. An unmanned supermarket online order management system which is characterized in that: the system comprises a comprehensive management system, wherein the comprehensive management system is used for carrying out transmission management and safety management on all data in the order management system on the unmanned supermarket line;
region dividing system: the area dividing system is used for dividing the areas of the shelves in the unmanned supermarket, and the areas are divided according to the goods category of the shelves in the unmanned supermarket when the areas are divided, and the number of the divided areas is at least 3-6;
the classification word corresponding system: the classifying word corresponding system is used for corresponding the commodity classifying words in the divided area to the area, establishing an area classifying library, and inputting specific commodity names and positions into the area classifying library;
order receiving system: the order receiving system is used for receiving real-time orders of the unmanned supermarket, sending out reminding of the real-time orders and synchronizing the orders to a subsequent system, and the specific sources of the orders comprise an online take-out APP and an online applet;
order analysis system: the order analysis system is used for receiving order information synchronized by the order receiving system and analyzing the order information through an intelligent analysis algorithm, and the analysis process specifically comprises the steps of carrying out scanning analysis on the content of the order information, extracting keywords after the analysis is finished, and corresponding the keywords to a corresponding regional classification library;
article taking system: the article taking system is used for synchronizing the analysis result of the order analysis system to the article taking robot, moving the article taking robot to the corresponding region classification library, and taking the corresponding commodity according to the commodity name of the order;
item correspondence system: the article corresponding system is used for centralizing the articles fetched by the article fetching system, scanning the articles through the scanning device, and after the scanning is finished, corresponding scanned article information and order information and outputting the result;
item settlement system: the article settlement system is used for carrying out scanning settlement on the confirmed articles, comparing the amount after scanning settlement with the amount of the order, packaging the articles when the result is error-free, and outputting the result;
the following management system: the follow-up management system is used for receiving the result sent by the article settlement system, transmitting the articles which are settled and packaged to the intelligent distribution system, and correspondingly distributing the articles by the intelligent distribution system;
a data storage system: the data storage system is used for synchronously storing operation data in the order management system on the unmanned supermarket line in real time, wherein the operation data specifically comprises settlement data, analysis data and video data.
2. An unmanned supermarket on-line order management system as claimed in claim 1, wherein: the classifying word corresponding system specifically adopts one or a combination of more of Tf-idf algorithm, textRank algorithm, LSI algorithm, LDA algorithm, rake algorithm or YAKE algorithm when extracting commodity classifying words.
3. An unmanned supermarket on-line order management system as claimed in claim 1, wherein: the order receiving system carrier is specifically one or a combination of a calculator, a mobile phone, an IPAD or a notebook, and is connected with the order printing device.
4. An unmanned supermarket on-line order management system as claimed in claim 1, wherein: the intelligent analysis algorithm adopted in the order analysis system is specifically one or a combination of more of an artificial neural network technology, a genetic algorithm, a simulated annealing algorithm, a genetic algorithm, an immune algorithm or a particle swarm algorithm.
5. An unmanned supermarket on-line order management system as claimed in claim 1, wherein: the article taking robot in the article taking system specifically comprises one or a combination of a plurality of SCARA robots, parallel robots, delta robots or wheeled robots.
6. An unmanned supermarket on-line order management system as claimed in claim 1, wherein: the article corresponding system specifically adopts one or a combination of a plurality of text comparison algorithms, LCS algorithm and java text comparison algorithm when corresponding articles.
7. An unmanned supermarket on-line order management system as claimed in claim 1, wherein: the intelligent distribution system specifically adopts an unmanned aerial vehicle for distribution when carrying out article distribution, and the unmanned aerial vehicle adopts a regional distribution method when carrying out distribution.
8. The intelligent distribution method for the online orders of the unmanned supermarkets according to claim 1, wherein the intelligent distribution method comprises the following steps: the method comprises the following steps:
s1: address analysis: firstly, carrying out regional division on distribution addresses around the unmanned supermarket, receiving the addresses of orders on the unmanned supermarket line, corresponding the addresses to a scene map, analyzing the corresponding addresses, namely classifying routes with the same axis in the same region, and corresponding and marking order information corresponding to the addresses;
s2: gravimetric analysis: on the basis of the step S1, weighing and analyzing the marked orders, if the weight of the orders exceeds the maximum bearing weight of the unmanned aerial vehicle, intelligently distributing the corresponding orders to nearby distributors, and if the weight of the orders is smaller than the maximum bearing weight of the unmanned aerial vehicle, intelligently distributing the corresponding orders to the unmanned aerial vehicle with corresponding axes;
s3: intelligent delivery: on the basis of the step S2, intelligent delivery is carried out on the ordered articles according to the axis distance and the comprehensive consideration of the order delivery time, and if the axis distance is within 1-2km, the order delivery time is preferentially considered; if the delivery time is the same, giving priority to orders with axes far away for delivery; if the addition of the weight of the orders is smaller than the maximum bearing weight of the unmanned aerial vehicle, carrying out axis simultaneous distribution;
s4: tracking management: and on the basis of the step S3, tracking management is carried out on the distribution process of the unmanned aerial vehicle through a remote tracking management program, and tracking management information is displayed and stored to a background management end.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117114817A (en) * | 2023-10-18 | 2023-11-24 | 米烁网络科技(广州)有限公司 | Intelligent order management system based on commodity retail |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117114817A (en) * | 2023-10-18 | 2023-11-24 | 米烁网络科技(广州)有限公司 | Intelligent order management system based on commodity retail |
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