CN111724114A - E-commerce commodity distribution logistics intelligent management system based on big data - Google Patents

E-commerce commodity distribution logistics intelligent management system based on big data Download PDF

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CN111724114A
CN111724114A CN202010594613.8A CN202010594613A CN111724114A CN 111724114 A CN111724114 A CN 111724114A CN 202010594613 A CN202010594613 A CN 202010594613A CN 111724114 A CN111724114 A CN 111724114A
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许辉
王彦洲
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Abstract

The invention discloses an E-commerce commodity distribution logistics intelligent management system based on big data, which comprises a shopping platform, a shopping information identification module, a storage logistics general control center, a commodity outer package analysis module, a commodity outer package processing module, a package image acquisition module, a loading image acquisition module, a user display terminal, a cloud server and a database, wherein the shopping information identification module is used for identifying the commodity information of a user; according to the method, the shopping specific information is acquired after a user places an order through the shopping platform, the regional warehouse logistics center is screened, the delivery time is arranged and the estimated delivery time is calculated according to the fixed delivery time of the regional warehouse logistics center every day, meanwhile, the fixed size specification volume of the overall outer package of the commodity is determined according to the commodity type and the purchase number of the commodity, the overall outer package photo of the commodity and the overall outer package loading photo of the commodity are collected and sent to the user display terminal, and the user checks the outer package of the purchased commodity, the commodity delivery time and the estimated delivery time through the user display terminal.

Description

E-commerce commodity distribution logistics intelligent management system based on big data
Technical Field
The invention relates to the field of E-commerce commodity logistics management, in particular to an E-commerce commodity distribution logistics intelligent management system based on big data.
Background
With the rapid development of society and the popularization of the internet, electronic commerce has become a new form of business activity, and the problems of information flow, commodities and funds in a logistics system can be easily solved through the electronic commerce, so that the commodities can be timely delivered to users. Currently, all online commercial activities of logistics enterprises are realized by using electronic tools in the background of electronic commerce, so that not only are the inventory and the fund backlog reduced, but also the logistics cost is reduced, and the method is an important means for improving the economic benefit and the social benefit of the logistics enterprises.
From the view of logistics function, the main functions of traditional logistics are transportation and storage, the functions of traditional logistics distribution service are few, a storage logistics center is few, the distribution time is long, specific distribution time cannot be determined, from the view of commodity packaging, the traditional logistics packaging type is single, the commodity type is not matched with the packaging type, some commodities are damaged or deteriorated in the transportation process, the commodity cost is increased, from the view of a user, the user cannot know accurate delivery time and delivery time after ordering, the shopping experience of the user is reduced, and in order to solve the problems, the E-commerce commodity distribution logistics intelligent management system based on big data is designed.
Disclosure of Invention
The invention aims to provide an E-commerce commodity distribution logistics intelligent management system based on big data, which obtains shopping specific information by ordering a user on a shopping platform, screens a regional warehouse logistics center which stores commodities and is closest to a commodity distribution address, determines commodity delivery time and predicted commodity delivery time according to the daily fixed delivery time of the regional warehouse logistics center and the ordering time of the user's shopping, selects corresponding commodity packaging types according to the commodity types of the commodities before the commodities are delivered, obtains the packaging type specifications used by the commodity general outer packaging by comparing the commodity general outer packaging volumes with the fixed dimension specification volumes of the packaging types corresponding to the commodity types in a database, carries out outer packaging on the commodities, sends the commodity general outer packaging images to a display terminal, and allows the user to check the commodity general outer packaging images, The commodity delivery time and the expected commodity delivery time solve the problems in the background technology.
The purpose of the invention can be realized by the following technical scheme:
an E-commerce commodity distribution logistics intelligent management system based on big data comprises a shopping platform, a shopping information identification module, a storage logistics general control center, a commodity outer package analysis module, a commodity outer package processing module, a package image acquisition module, a loading image acquisition module, a user display terminal, a cloud server and a database;
the cloud server is respectively connected with the shopping information identification module, the warehouse logistics general control center, the loading image acquisition module, the user display terminal and the database, the database is respectively connected with the warehouse logistics general control center, the commodity outer package processing module and the commodity outer package analysis module, the shopping information identification module is respectively connected with the shopping platform and the commodity outer package analysis module, the commodity outer package processing module is respectively connected with the commodity outer package analysis module and the packaging image acquisition module, and the user display terminal is respectively connected with the packaging image acquisition module and the loading image acquisition module;
the shopping platform is used for providing a purchasing platform when a user purchases goods, the user places an order after purchasing the goods through the shopping platform, and the shopping platform acquires order placing information of the user and sends the order placing information of the user to the shopping information identification module;
the shopping information identification module is used for receiving order placing information of a user sent by a shopping platform, acquiring specific shopping information including order placing time of the user, commodity names, purchase numbers and commodity distribution address information by an OCR character identification method, and sending the specific shopping information to the cloud server and the commodity outer package analysis module respectively;
the cloud server is used for receiving specific shopping information sent by the shopping information identification module, extracting commodity names and purchase numbers in the specific shopping information, extracting various commodity names stored in a plurality of regional storage logistics centers in a database and the total number of corresponding commodities, screening the regional storage logistics centers storing the commodities, comparing the commodity purchase numbers in the specific shopping information with the total number of the screened regional storage logistics centers storing the commodities, counting the regions of the candidate storage logistics centers if the total number of the commodities in the regional storage logistics centers storing the commodities is larger than the commodity purchase number in the shopping information, and forming a region set A of the candidate storage logistics centersm(a1,a2,...,aj,...,am)，ajThe information is expressed as the ith candidate warehouse logistics center area, commodity distribution address information in the shopping specific information is extracted, the address of each candidate warehouse logistics center area in the database is extracted, the commodity distribution address is compared with the address of each candidate warehouse logistics center area, the distance between each candidate warehouse logistics center area and the commodity distribution address is counted, a regional warehouse logistics center closest to the commodity distribution address is screened, and the regional warehouse logistics center address and the serial number of the regional warehouse logistics center are sent to a warehouse logistics master control center;
the warehouse logistics master control center is used for dividing the warehouse logistics centers into a plurality of regional warehouse logistics centers according to the number of each province in China, numbering the regional warehouse logistics centers in sequence according to a set sequence, wherein the numbers of the regional warehouse logistics centers are 1,2, 1, i, n, and sending the numbers of the regional warehouse logistics centers to a database; receiving the address of the regional warehouse logistics center and the number of the regional warehouse logistics center sent by the cloud server, checking the daily fixed delivery time of the regional warehouse logistics center by the warehouse logistics master control center according to the received address and number of the regional warehouse logistics center, wherein the daily fixed delivery time of the regional warehouse logistics center is respectively 8:00,12:00,16:00 and 20:00, and is sequentially numbered as T1, T2, T3 and T4, and sending the number of the daily fixed delivery time of the regional warehouse logistics center to a database;
the commodity outer package analysis module is used for receiving the shopping specific information sent by the shopping information identification module, extracting commodity names in the shopping specific information, simultaneously extracting commodity names corresponding to various commodity types in the database, obtaining the types of the commodity names in the shopping specific information, extracting the commodity package types stored in the database, comparing the types of the commodities with the commodity outer package types corresponding to the various commodity types stored in the database, screening the commodity outer package types corresponding to the commodity types, and sending the commodity outer package types to the commodity outer package processing module;
meanwhile, the commodity outer package analysis module extracts for shoppingThe commodity name and the purchase number in the specific information are extracted, and the standard volume V of a single package corresponding to the commodity in the database is extracted0Calculating the total external packing volume according to the number of commodities purchased by a user, extracting all levels of fixed dimension specification volumes of various packing types in a database, comparing the total external packing volume with all levels of fixed dimension specification volumes of the packing types corresponding to the commodity types, if the calculated total external packing volume of the commodity is smaller than a certain level of fixed dimension specification volume of the packing types corresponding to the commodity types, the commodity overall external package is packaged by using the level of fixed dimension specification volume of the packaging type corresponding to the commodity type, if the calculated commodity overall external package volume is larger than or equal to a certain level of fixed dimension specification volume of the packaging type corresponding to the commodity type, the commodity overall outer package is packed by using the fixed dimension specification volume grade which is larger than the grade by one grade and corresponds to the type of the commodity, and the counted packing type and the fixed dimension specification volume grade corresponding to the commodity are sent to a commodity outer package processing module;
the commodity outer package processing module is used for receiving the package type and the fixed dimension specification volume series corresponding to the commodity sent by the commodity outer package analysis module, extracting the serial numbers corresponding to the fixed dimension specification volumes of all levels in the database, carrying out total outer package on the commodity and the number purchased by a user, and sending the commodity total outer package to the package image acquisition module;
the package image acquisition module is used for receiving the overall outer package of the commodity sent by the commodity outer package processing module, acquiring an image of the overall outer package of the commodity, performing image enhancement and restoration processing on the acquired image to obtain an enhanced high-definition image of the overall outer package of the commodity, and sending the enhanced high-definition image of the overall outer package of the commodity to a user display terminal;
the cloud server is used for extracting the number of the daily fixed delivery time of the regional warehouse logistics center in the database, comparing the daily fixed delivery time of the regional warehouse logistics center according to the ordering time of the user in the shopping specific information, and setting the time from ordering of the user to packaging processing delivery as t0If the user places an orderT before each fixed delivery time in the regional warehouse logistics center0Before the time, the goods are delivered at the fixed delivery time, and if the order is placed by the user, the time t before each fixed delivery time of the warehouse logistics center in the area is t0After the time, the next fixed delivery time is used for delivery, and the delivery time after the order is placed by the user is obtained through comparison and is recorded as TxSending the delivery time of the order-placing user to a user display terminal; meanwhile, the standard distribution time T is calculated according to the distance from the regional warehouse logistics center to the commodity distribution address0Calculating the expected commodity delivery time, and sending the expected commodity delivery time to a user display terminal;
the loading image acquisition module is used for loading the commodities to be delivered, acquiring the total outer package loading image of the commodities purchased by the user and sending the total outer package loading image of the commodities to the user display terminal;
the user display terminal is used for receiving the commodity total outer package high-definition image sent by the package image acquisition module, receiving the order-placing delivery time and the expected commodity delivery time sent by the cloud server, receiving the commodity total outer package loading image sent by the loading image acquisition module, checking the commodity outer package before commodity delivery through the user display terminal, displaying the order-placing delivery time and the expected commodity delivery time, and determining the commodity delivery condition through the image of the commodity total outer package loading vehicle;
the database is used for receiving the serial numbers of the regional warehouse logistics center with fixed delivery time every day and the serial numbers of the divided regional warehouse logistics centers sent by the warehouse logistics center, storing the addresses of the regional warehouse logistics centers, storing the names of various commodities and the total number of corresponding commodities stored by the regional warehouse logistics centers, storing the names of the commodities corresponding to various commodity types stored by the regional warehouse logistics center, wherein the commodity types comprise cooked foods, fresh foods, living goods, precision instruments, clothes and the like, storing the packaging types corresponding to the commodity types, the packaging types are respectively box type packaging types and bag type packaging types, the box type packaging types comprise foam box packaging, carton packaging and wooden box packaging, the packaging type corresponding to the fresh goods is a foam box, and the packaging type corresponding to the living goods is a carton, the packaging type corresponding to the precision instrument commodity is a wooden box, the packaging type corresponding to other commodities is a carton box, the bag type packaging type comprises vacuum bag packaging and sealing bag packaging, wherein the packaging type corresponding to the cooked commodity is a vacuum bag, and the packaging type corresponding to the clothing commodity is a sealing bag;
the standard size of each packaging type single package corresponding to each commodity is stored, the fixed size specification volumes of each level of each packaging type are stored, each fixed size specification of the box type packaging type comprises a first box, a second box, a third box, a fourth box and a fifth box, the first box, the second box, the third box, the fourth box and the fifth box are numbered sequentially from small to large in size and are respectively V1, V2, V3, V4 and V5, each fixed size specification of the bag type packaging type comprises a first bag, a second bag, a third bag, a fourth bag and a fifth bag, the first bag, the second bag, the third bag, the fourth bag and the fifth bag are numbered sequentially from small to large in size and are respectively L1, L2, L3, L4 and L5.
Further, the OCR character recognition method comprises the following steps:
s1, scanning characters in the order information picture of the user through a laser scanner, and cutting the characters through character recognition software;
s2, extracting the characteristics of the cut characters, identifying the characters after characteristic extraction through character recognition software, and restoring the identified characters into the character arrangement of the original picture;
s3, according to the relation of specific language context, correcting the arranged character, translating the corrected character into computer character, and obtaining shopping information.
Further, the calculation formula of the total outer packaging volume is V ═ V0X, V denotes the total outer packaging volume, V0Expressed as the standard volume V of the single outer package corresponding to the commodity0And X represents the number of items purchased for the user.
Further, the calculation formula of the expected commodity delivery time is T ═ Tx+T0T is the expected delivery time of the goods0Standard delivery time, T, expressed as the distance from the regional warehouse logistics center to the goods delivery addressxExpressed as the time of delivery, T, after the order was placed by the userxT '1, T' 2, T '3, T' 4, T '1 shows for the user 8 points after placing an order and sends the goods time, T' 2 shows for the user 12 points after placing an order and sends the goods time, T '3 shows for the user 16 points after placing an order and sends the goods time, T' 4 shows for the user 20 points after placing an order and sends the goods time.
Has the advantages that:
(1) according to the E-commerce commodity distribution logistics intelligent management system based on the big data, a user orders on a shopping platform to obtain specific shopping information, the cloud server screens and stores a regional warehouse logistics center which is closest to a commodity distribution address and stores the commodity, the time wasted by the commodity in a distribution route is reduced, the distribution efficiency is improved, the commodity delivery time and the expected commodity delivery time are determined according to the daily fixed delivery time of the regional warehouse logistics center and are combined with the ordering time of the user shopping, and the commodity delivery time and the expected commodity delivery time are sent to the user display terminal, so that the user can check the commodity delivery time and the expected commodity delivery time at any time, and the shopping experience of the user is improved.
(2) According to the invention, the commodity type is obtained by comparing the commodity name in the shopping specific information with various commodities corresponding to the commodity type in the database, the commodity outer package corresponding to the commodity type is obtained according to the comparison of the commodity type with the commodity package type in the database, the overall outer package volume of the commodity is calculated, and all levels of fixed dimension specification volumes of various package types in the database are extracted to obtain the package fixed dimension specification volume corresponding to the overall outer package volume of the commodity, so that the phenomenon that the commodity is extruded and damaged due to the undersize of the commodity outer package volume in the transportation process is prevented, the commodity damage is ensured, the commodity transportation safety is ensured, and the economic loss is reduced.
(3) According to the invention, the image acquisition is carried out on the overall outer package of the commodity when the commodity is loaded, the acquired image is sent to the user display terminal, and the user checks the delivery condition of the commodity through the display terminal, so that the condition that the merchant sends the delivered commodity when the commodity is not delivered is avoided, and the waiting time of the user is too long.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
Referring to fig. 1, the E-commerce commodity distribution logistics intelligent management system based on big data comprises a shopping platform, a shopping information identification module, a warehouse logistics general control center, a commodity outer package analysis module, a commodity outer package processing module, a package image acquisition module, a loading image acquisition module, a user display terminal, a cloud server and a database;
the cloud server is respectively connected with the shopping information identification module, the warehouse logistics general control center, the loading image acquisition module, the user display terminal and the database, the database is respectively connected with the warehouse logistics general control center, the commodity outer package processing module and the commodity outer package analysis module, the shopping information identification module is respectively connected with the shopping platform and the commodity outer package analysis module, the commodity outer package processing module is respectively connected with the commodity outer package analysis module and the packaging image acquisition module, and the user display terminal is respectively connected with the packaging image acquisition module and the loading image acquisition module;
the shopping platform is used for providing a purchasing platform when a user purchases goods, the user places an order after purchasing the goods through the shopping platform, and the shopping platform acquires order placing information of the user and sends the order placing information of the user to the shopping information identification module;
the shopping information recognition module is used for receiving ordering information of a user sent by a shopping platform, and the method comprises the following steps of through an OCR character recognition method:
s1, scanning characters in the order information picture of the user through a laser scanner, and cutting the characters through character recognition software;
s2, extracting the characteristics of the cut characters, identifying the characters after characteristic extraction through character recognition software, and restoring the identified characters into the character arrangement of the original picture;
s3, correcting the arranged characters according to the relation of specific language context, translating the corrected characters into computer characters, acquiring specific shopping information including ordering time, commodity name, purchase number and commodity distribution address information of a user, and respectively sending the specific shopping information to a cloud server and a commodity outer package analysis module;
the cloud server is used for receiving specific shopping information sent by the shopping information identification module, extracting commodity names and purchase numbers in the specific shopping information, extracting various commodity names stored in a plurality of regional storage logistics centers in a database and the total number of corresponding commodities, screening the regional storage logistics centers storing the commodities, comparing the commodity purchase numbers in the specific shopping information with the total number of the screened regional storage logistics centers storing the commodities, counting the regions of the candidate storage logistics centers if the total number of the commodities in the regional storage logistics centers storing the commodities is larger than the commodity purchase number in the shopping information, and forming a region set A of the candidate storage logistics centersm(a1,a2,...,aj,...,am)，ajExpressing as the ith candidate warehouse logistics center region, extracting the commodity distribution address information in the shopping detailed information, extracting the address of each candidate warehouse logistics center region in the database, and comparing the commodity distribution address with the commodity distribution addressThe addresses of the candidate warehouse logistics center regions are compared, the distance between the candidate warehouse logistics center regions and the commodity distribution address is counted, the regional warehouse logistics center closest to the commodity distribution address is screened, time wasted in a distribution route of commodities can be reduced, distribution efficiency is improved, and meanwhile the regional warehouse logistics center address and the number of the regional warehouse logistics center are sent to a warehouse logistics master control center;
the warehouse logistics master control center is used for dividing the warehouse logistics centers into a plurality of regional warehouse logistics centers according to the number of each province in China, numbering the regional warehouse logistics centers in sequence according to a set sequence, wherein the numbers of the regional warehouse logistics centers are 1,2, 1, i, n, and sending the numbers of the regional warehouse logistics centers to a database; receiving the address of the regional warehouse logistics center and the number of the regional warehouse logistics center sent by the cloud server, checking the daily fixed delivery time of the regional warehouse logistics center by the warehouse logistics master control center according to the received address and number of the regional warehouse logistics center, wherein the daily fixed delivery time of the regional warehouse logistics center is respectively 8:00,12:00,16:00 and 20:00, and is sequentially numbered as T1, T2, T3 and T4, and sending the number of the daily fixed delivery time of the regional warehouse logistics center to a database;
the commodity outer package analysis module is used for receiving the shopping specific information sent by the shopping information identification module, extracting commodity names in the shopping specific information, simultaneously extracting commodity names corresponding to various commodity types in the database, obtaining the types of the commodity names in the shopping specific information, extracting the commodity package types stored in the database, comparing the types of the commodities with the commodity outer package types corresponding to the various commodity types stored in the database, screening the commodity outer package types corresponding to the commodity types, and sending the commodity outer package types to the commodity outer package processing module;
meanwhile, the commodity external package analysis module extracts the commodity name and the purchase number in the shopping specific information and extracts the standard volume V of a single package corresponding to the commodity in the database0Calculating the total external packing according to the number of commodities purchased by the userThe calculation formula of the volume and the total outer packaging volume is V ═ V0X, V denotes the total outer packaging volume, V0Expressed as the standard volume V of the single outer package corresponding to the commodity0X represents the number of commodities purchased by a user, extracts the fixed dimension specification volumes of all levels of various packaging types in the database, compares the total outer packaging volume with the fixed dimension specification volumes of all levels of the packaging types corresponding to the commodity types, if the calculated total outer packaging volume of the commodity is smaller than a certain level of fixed dimension specification volume of the packaging type corresponding to the commodity type, the commodity overall external package is packaged by using the level of fixed dimension specification volume of the packaging type corresponding to the commodity type, if the calculated commodity overall external package volume is larger than or equal to a certain level of fixed dimension specification volume of the packaging type corresponding to the commodity type, the commodity overall outer package is packed by using the fixed dimension specification volume grade which is larger than the grade by one grade and corresponds to the type of the commodity, and the counted packing type and the fixed dimension specification volume grade corresponding to the commodity are sent to a commodity outer package processing module;
the commodity outer package processing module is used for receiving the package type and the fixed dimension specification volume series corresponding to the commodity sent by the commodity outer package analysis module, extracting the serial numbers corresponding to the fixed dimension specification volumes of all levels in the database, carrying out overall outer package on the commodity and the number purchased by a user, preventing the commodity from being extruded and damaged due to the fact that the commodity outer package volume is too small in the transportation process, further enabling the commodity to be damaged, guaranteeing the safety of commodity transportation, reducing economic loss and sending the overall outer package of the commodity to the package image acquisition module;
the package image acquisition module is used for receiving the overall outer package of the commodity sent by the commodity outer package processing module, acquiring an image of the overall outer package of the commodity, performing image enhancement and restoration processing on the acquired image to obtain an enhanced high-definition image of the overall outer package of the commodity, and sending the enhanced high-definition image of the overall outer package of the commodity to a user display terminal;
the cloud server is used for extracting the number of the daily fixed delivery time of the regional warehouse logistics center in the databaseAccording to the order placing time of the user in the shopping specific information, comparing the fixed delivery time of the regional warehouse logistics center every day, and setting the time from the order placing of the user to the packaging processing delivery as t0If the order time of the user is t before each fixed delivery time of the warehouse logistics center in the area0Before the time, the goods are delivered at the fixed delivery time, and if the order is placed by the user, the time t before each fixed delivery time of the warehouse logistics center in the area is t0After the time, the next fixed delivery time is used for delivery, and the delivery time after the order is placed by the user is obtained through comparison and is recorded as TxSending the delivery time of the order-placing user to a user display terminal; meanwhile, the standard distribution time T is calculated according to the distance from the regional warehouse logistics center to the commodity distribution address0And calculating the expected delivery time of the commodity, wherein the calculation formula of the expected delivery time of the commodity is T ═ Tx+T0T is the expected delivery time of the goods0Standard delivery time, T, expressed as the distance from the regional warehouse logistics center to the goods delivery addressxExpressed as the time of delivery, T, after the order was placed by the userxT ' 1, T ' 2, T ' 3, T ' 4, T ' 1 shows for 8 after the user order, T ' 2 shows for 12 after the user order, T ' 3 shows for 16 after the user order, T ' 4 shows for 20 after the user order, send the expected commodity delivery time to user display terminal, make things convenient for the user to look over commodity delivery time and expected commodity delivery time at any time, has improved user's shopping experience;
the loading image acquisition module is used for acquiring the total outer package loading image of the commodity purchased by the user when the commodity to be delivered is loaded, and transmitting the total outer package loading image of the commodity to the user display terminal, so that the condition that the merchant transmits the delivered commodity when the commodity is not delivered is avoided, the user is prevented from waiting too much, and the time of the user is wasted;
the user display terminal is used for receiving the commodity overall outer package high-definition image sent by the package image acquisition module, receiving the order-placing delivery time and the expected commodity delivery time sent by the cloud server, receiving the commodity overall outer package loading image sent by the loading image acquisition module, checking the commodity outer package before commodity delivery through the user display terminal, displaying the order-placing delivery time and the expected commodity delivery time, and determining the commodity delivery condition through the image of the commodity overall outer package loading vehicle, so that the condition that a merchant sends a delivered commodity when the commodity is not delivered is avoided, and the waiting time of the user is too long;
the database is used for receiving the serial numbers of the regional warehouse logistics center with fixed delivery time every day and the serial numbers of the divided regional warehouse logistics centers sent by the warehouse logistics center, storing the addresses of the regional warehouse logistics centers, storing the names of various commodities and the total number of corresponding commodities stored by the regional warehouse logistics centers, storing the names of the commodities corresponding to various commodity types stored by the regional warehouse logistics center, wherein the commodity types comprise cooked foods, fresh foods, living goods, precision instruments, clothes and the like, storing the packaging types corresponding to the commodity types, the packaging types are respectively box type packaging types and bag type packaging types, the box type packaging types comprise foam box packaging, carton packaging and wooden box packaging, the packaging type corresponding to the fresh goods is a foam box, and the packaging type corresponding to the living goods is a carton, the packaging type corresponding to the precision instrument commodity is a wooden box, the packaging type corresponding to other commodities is a carton box, the bag type packaging type comprises vacuum bag packaging and sealing bag packaging, wherein the packaging type corresponding to the cooked commodity is a vacuum bag, and the packaging type corresponding to the clothing commodity is a sealing bag;
the standard size of each packaging type single package corresponding to each commodity is stored, the fixed size specification volumes of each level of each packaging type are stored, each fixed size specification of the box type packaging type comprises a first box, a second box, a third box, a fourth box and a fifth box, the first box, the second box, the third box, the fourth box and the fifth box are numbered sequentially from small to large in size and are respectively V1, V2, V3, V4 and V5, each fixed size specification of the bag type packaging type comprises a first bag, a second bag, a third bag, a fourth bag and a fifth bag, the first bag, the second bag, the third bag, the fourth bag and the fifth bag are numbered sequentially from small to large in size and are respectively L1, L2, L3, L4 and L5.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.

Claims (4)

1. The utility model provides an electricity merchant commodity distribution commodity circulation intelligent management system based on big data which characterized in that: the system comprises a shopping platform, a shopping information identification module, a warehouse logistics general control center, a commodity outer package analysis module, a commodity outer package processing module, a package image acquisition module, a loading image acquisition module, a user display terminal, a cloud server and a database;
the cloud server is respectively connected with the shopping information identification module, the warehouse logistics general control center, the loading image acquisition module, the user display terminal and the database, the database is respectively connected with the warehouse logistics general control center, the commodity outer package processing module and the commodity outer package analysis module, the shopping information identification module is respectively connected with the shopping platform and the commodity outer package analysis module, the commodity outer package processing module is respectively connected with the commodity outer package analysis module and the packaging image acquisition module, and the user display terminal is respectively connected with the packaging image acquisition module and the loading image acquisition module;
the shopping platform is used for providing a purchasing platform when a user purchases goods, the user places an order after purchasing the goods through the shopping platform, and the shopping platform acquires order placing information of the user and sends the order placing information of the user to the shopping information identification module;
the shopping information identification module is used for receiving order placing information of a user sent by a shopping platform, acquiring specific shopping information including order placing time of the user, commodity names, purchase numbers and commodity distribution address information by an OCR character identification method, and sending the specific shopping information to the cloud server and the commodity outer package analysis module respectively;
the cloud server is used for receiving the shopping specific information sent by the shopping information identification module, extracting commodity names and purchase numbers in the shopping specific information and extractingThe method comprises the steps that various commodity names and the total number of corresponding commodities stored in a plurality of regional warehouse logistics centers in a database are screened and stored in each regional warehouse logistics center, the commodity purchase number in specific shopping information is compared with the total number of the screened regional warehouse logistics centers for storing the commodities, if the total number of the commodities in each regional warehouse logistics center for storing the commodities is larger than the commodity purchase number in the shopping information, the regional warehouse logistics center serves as a candidate warehouse logistics center region, candidate warehouse logistics center regions are counted, and a candidate warehouse logistics center region set A is formedm(a1,a2,...,aj,...,am)，ajThe information is expressed as the ith candidate warehouse logistics center area, commodity distribution address information in the shopping specific information is extracted, the address of each candidate warehouse logistics center area in the database is extracted, the commodity distribution address is compared with the address of each candidate warehouse logistics center area, the distance between each candidate warehouse logistics center area and the commodity distribution address is counted, a regional warehouse logistics center closest to the commodity distribution address is screened, and the regional warehouse logistics center address and the serial number of the regional warehouse logistics center are sent to a warehouse logistics master control center;
the warehouse logistics master control center is used for dividing the warehouse logistics centers into a plurality of regional warehouse logistics centers according to the number of each province in China, numbering the regional warehouse logistics centers in sequence according to a set sequence, wherein the numbers of the regional warehouse logistics centers are 1,2, 1, i, n, and sending the numbers of the regional warehouse logistics centers to a database; receiving the address of the regional warehouse logistics center and the number of the regional warehouse logistics center sent by the cloud server, checking the daily fixed delivery time of the regional warehouse logistics center by the warehouse logistics master control center according to the received address and number of the regional warehouse logistics center, wherein the daily fixed delivery time of the regional warehouse logistics center is respectively 8:00,12:00,16:00 and 20:00, and is sequentially numbered as T1, T2, T3 and T4, and sending the number of the daily fixed delivery time of the regional warehouse logistics center to a database;
the commodity outer package analysis module is used for receiving the shopping specific information sent by the shopping information identification module, extracting commodity names in the shopping specific information, simultaneously extracting commodity names corresponding to various commodity types in the database, obtaining the types of the commodity names in the shopping specific information, extracting the commodity package types stored in the database, comparing the types of the commodities with the commodity outer package types corresponding to the various commodity types stored in the database, screening the commodity outer package types corresponding to the commodity types, and sending the commodity outer package types to the commodity outer package processing module;
meanwhile, the commodity external package analysis module extracts the commodity name and the purchase number in the shopping specific information and extracts the standard volume V of a single package corresponding to the commodity in the database0Calculating the total external packing volume according to the number of commodities purchased by a user, extracting all levels of fixed dimension specification volumes of various packing types in a database, comparing the total external packing volume with all levels of fixed dimension specification volumes of the packing types corresponding to the commodity types, if the calculated total external packing volume of the commodity is smaller than a certain level of fixed dimension specification volume of the packing types corresponding to the commodity types, the commodity overall external package is packaged by using the level of fixed dimension specification volume of the packaging type corresponding to the commodity type, if the calculated commodity overall external package volume is larger than or equal to a certain level of fixed dimension specification volume of the packaging type corresponding to the commodity type, the commodity overall outer package is packed by using the fixed dimension specification volume grade which is larger than the grade by one grade and corresponds to the type of the commodity, and the counted packing type and the fixed dimension specification volume grade corresponding to the commodity are sent to a commodity outer package processing module;
the commodity outer package processing module is used for receiving the package type and the fixed dimension specification volume series corresponding to the commodity sent by the commodity outer package analysis module, extracting the serial numbers corresponding to the fixed dimension specification volumes of all levels in the database, carrying out total outer package on the commodity and the number purchased by a user, and sending the commodity total outer package to the package image acquisition module;
the package image acquisition module is used for receiving the overall outer package of the commodity sent by the commodity outer package processing module, acquiring an image of the overall outer package of the commodity, performing image enhancement and restoration processing on the acquired image to obtain an enhanced high-definition image of the overall outer package of the commodity, and sending the enhanced high-definition image of the overall outer package of the commodity to a user display terminal;
the cloud server is used for extracting the number of the daily fixed delivery time of the regional warehouse logistics center in the database, comparing the daily fixed delivery time of the regional warehouse logistics center according to the ordering time of the user in the shopping specific information, and setting the time from ordering of the user to packaging processing delivery as t0If the order time of the user is t before each fixed delivery time of the warehouse logistics center in the area0Before the time, the goods are delivered at the fixed delivery time, and if the order is placed by the user, the time t before each fixed delivery time of the warehouse logistics center in the area is t0After the time, the next fixed delivery time is used for delivery, and the delivery time after the order is placed by the user is obtained through comparison and is recorded as TxSending the delivery time of the order-placing user to a user display terminal; meanwhile, the standard distribution time T is calculated according to the distance from the regional warehouse logistics center to the commodity distribution address0Calculating the expected commodity delivery time, and sending the expected commodity delivery time to a user display terminal;
the loading image acquisition module is used for acquiring a total outer package loading image of a commodity purchased by a user when the commodity to be delivered is loaded, and sending the total outer package loading image of the commodity to the user display terminal;
the user display terminal is used for receiving the commodity total outer package high-definition image sent by the package image acquisition module, receiving the order-placing delivery time and the expected commodity delivery time sent by the cloud server, receiving the commodity total outer package loading image sent by the loading image acquisition module, checking the commodity outer package before commodity delivery through the user display terminal, displaying the order-placing delivery time and the expected commodity delivery time, and determining the commodity delivery condition through the image of the commodity total outer package loading vehicle;
the database is used for receiving the serial numbers of the regional warehouse logistics center with fixed delivery time every day and the serial numbers of the divided regional warehouse logistics centers sent by the warehouse logistics center, storing the addresses of the regional warehouse logistics centers, storing the names of various commodities and the total number of corresponding commodities stored by the regional warehouse logistics centers, storing the names of the commodities corresponding to various commodity types stored by the regional warehouse logistics center, wherein the commodity types comprise cooked foods, fresh foods, living goods, precision instruments, clothes and the like, storing the packaging types corresponding to the commodity types, the packaging types are respectively box type packaging types and bag type packaging types, the box type packaging types comprise foam box packaging, carton packaging and wooden box packaging, the packaging type corresponding to the fresh goods is a foam box, and the packaging type corresponding to the living goods is a carton, the packaging type corresponding to the precision instrument commodity is a wooden box, the packaging type corresponding to other commodities is a carton box, the bag type packaging type comprises vacuum bag packaging and sealing bag packaging, wherein the packaging type corresponding to the cooked commodity is a vacuum bag, and the packaging type corresponding to the clothing commodity is a sealing bag;
the standard size of each packaging type single package corresponding to each commodity is stored, the fixed size specification volumes of each level of each packaging type are stored, each fixed size specification of the box type packaging type comprises a first box, a second box, a third box, a fourth box and a fifth box, the first box, the second box, the third box, the fourth box and the fifth box are numbered sequentially from small to large in size and are respectively V1, V2, V3, V4 and V5, each fixed size specification of the bag type packaging type comprises a first bag, a second bag, a third bag, a fourth bag and a fifth bag, the first bag, the second bag, the third bag, the fourth bag and the fifth bag are numbered sequentially from small to large in size and are respectively L1, L2, L3, L4 and L5.
2. The intelligent management system for E-commerce commodity distribution logistics based on big data as claimed in claim 1, characterized in that: the OCR character recognition method comprises the following steps:
s1, scanning characters in the order information picture of the user through a laser scanner, and cutting the characters through character recognition software;
s2, extracting the characteristics of the cut characters, identifying the characters after characteristic extraction through character recognition software, and restoring the identified characters into the character arrangement of the original picture;
s3, according to the relation of specific language context, correcting the arranged character, translating the corrected character into computer character, and obtaining shopping information.
3. The intelligent management system for E-commerce commodity distribution logistics based on big data as claimed in claim 1, characterized in that: the calculation formula of the total external packing volume is V-V0X, V denotes the total outer packaging volume, V0Expressed as the standard volume V of the single outer package corresponding to the commodity0And X represents the number of items purchased for the user.
4. The intelligent management system for E-commerce commodity distribution logistics based on big data as claimed in claim 1, characterized in that: the calculation formula of the estimated commodity delivery time is T ═ Tx+T0T is the expected delivery time of the goods0Standard delivery time, T, expressed as the distance from the regional warehouse logistics center to the goods delivery addressxExpressed as the time of delivery, T, after the order was placed by the userxT '1, T' 2, T '3, T' 4, T '1 shows for the user 8 points after placing an order and sends the goods time, T' 2 shows for the user 12 points after placing an order and sends the goods time, T '3 shows for the user 16 points after placing an order and sends the goods time, T' 4 shows for the user 20 points after placing an order and sends the goods time.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112258074A (en) * 2020-11-02 2021-01-22 汤涛 E-commerce commodity storage logistics intelligent scheduling method based on big data analysis
CN112926927A (en) * 2021-04-06 2021-06-08 武汉智慧小七科技有限公司 Intelligent logistics distribution center commodity order number information acquisition, analysis and management method based on Internet of things and cloud computing
CN113256221A (en) * 2021-06-16 2021-08-13 浙江大胜达包装股份有限公司 Online e-commerce platform-oriented paper product packaging and allocating system and method
CN113283943A (en) * 2021-06-15 2021-08-20 浙江大胜达包装股份有限公司 Commodity demand prediction-based paper product packaging production management system and method

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112258074A (en) * 2020-11-02 2021-01-22 汤涛 E-commerce commodity storage logistics intelligent scheduling method based on big data analysis
CN112258074B (en) * 2020-11-02 2021-07-02 深圳市力天世纪供应链管理有限公司 E-commerce commodity storage logistics intelligent scheduling method based on big data analysis
CN112926927A (en) * 2021-04-06 2021-06-08 武汉智慧小七科技有限公司 Intelligent logistics distribution center commodity order number information acquisition, analysis and management method based on Internet of things and cloud computing
CN112926927B (en) * 2021-04-06 2021-11-09 广东骏龙智慧物流科技有限公司 Intelligent logistics distribution center commodity order number information acquisition, analysis and management method based on Internet of things and cloud computing
CN113283943A (en) * 2021-06-15 2021-08-20 浙江大胜达包装股份有限公司 Commodity demand prediction-based paper product packaging production management system and method
CN113283943B (en) * 2021-06-15 2021-10-08 浙江大胜达包装股份有限公司 Commodity demand prediction-based paper product packaging production management system and method
CN113256221A (en) * 2021-06-16 2021-08-13 浙江大胜达包装股份有限公司 Online e-commerce platform-oriented paper product packaging and allocating system and method

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