CN111461557A - Intelligent distribution and storage system for warehouse logistics - Google Patents
Intelligent distribution and storage system for warehouse logistics Download PDFInfo
- Publication number
- CN111461557A CN111461557A CN202010261535.XA CN202010261535A CN111461557A CN 111461557 A CN111461557 A CN 111461557A CN 202010261535 A CN202010261535 A CN 202010261535A CN 111461557 A CN111461557 A CN 111461557A
- Authority
- CN
- China
- Prior art keywords
- goods
- storage
- brand
- interval
- height
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/10009—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Operations Research (AREA)
- Toxicology (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Quality & Reliability (AREA)
- Marketing (AREA)
- Artificial Intelligence (AREA)
- General Health & Medical Sciences (AREA)
- Electromagnetism (AREA)
- Accounting & Taxation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Finance (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an intelligent distribution and storage system for warehouse logistics, which comprises a storage space dividing module, a goods information input module, a goods storage statistical module, a management cloud server and a display terminal, wherein the management cloud server is respectively connected with the storage space dividing module, the goods information input module, the goods storage statistical module and the display terminal, the goods storage statistical module comprises a reader, a processor, a goods database and a goods information statistical unit, and the processor is respectively connected with the reader, the goods database and the goods information statistical unit. According to the intelligent distribution and storage system for warehouse logistics, the management cloud server is used for collecting the goods information input module and the goods storage statistical module, so that the goods storage and taking efficiency of managers is improved, the difficulty degree of goods storage is reduced, the goods storage and taking safety is greatly improved, and the intelligent distribution and storage system for warehouse logistics has the advantages of being high in rationality of goods storage position distribution, high in storage effect and high in storage space utilization rate.
Description
The invention belongs to the application date: 2018-07-23, application number: 201810809506.5, patent name: a divisional application of a warehouse logistics intelligent allocation storage system.
Technical Field
The invention belongs to the technical field of warehouse logistics, and relates to an intelligent distribution and storage system for warehouse logistics.
Background
With the rapid development of electronic commerce, the logistics mode adopted by electronic commerce enterprises also increasingly becomes a bottleneck for limiting the development of electronic commerce businesses, and the bottleneck problem is particularly directed at the Warehousing mode of the electronic commerce enterprises.
Present storage commodity circulation is at the in-process of storage goods, because storage space is great, lead to goods to deposit irregularly, managers need seek when the access goods, there is the inefficiency problem of access, and simultaneously, because the goods that need the storage is more, if not piling up the problem that will cause storage space's utilization ratio to hang down between each goods, if pile up between each goods, to the weight height, on other goods are not convenient for to place to bulky goods, there are the problem that space distribution rationality is poor and the security is low.
Disclosure of Invention
The invention aims to provide an intelligent distribution and storage system for warehouse logistics, which solves the problems of low goods storage and taking efficiency, poor storage space distribution rationality and low safety in the process of storing goods in the existing warehouse logistics.
The purpose of the invention can be realized by the following technical scheme:
an intelligent distribution and storage system for warehouse logistics comprises a storage space dividing module, a goods information input module, a goods storage statistical module, a management cloud server and a display terminal, wherein the management cloud server is respectively connected with the storage space dividing module, the goods information input module, the goods storage statistical module and the display terminal;
the storage space dividing module divides the storage space of the warehouse logistics into a plurality of storage subunits and standby storage subunits, the storage subunits are equal in space volume, different storage subunits are used for storing goods of different brands, the storage subunits are numbered according to the sequence that the storage subunits are far away from the warehouse logistics outlet from near to far, the sequence is 1,2, a. Each storage subunit is divided into four height intervals which are a first height grade storage interval, a second height grade storage interval, a third height grade storage interval and a fourth height grade storage interval in sequence;
the goods information input module is used for inputting the sales volume of goods of different types under different brands within set time, inputting basic parameter information of different types under different brands, wherein the basic parameter information comprises goods brands, goods types, goods volumes, goods weights, goods heights and goods widths, and sending the input sales volume of goods of different types under different brands and the basic parameter information of goods of different types under different brands to the management cloud server;
all goods needing to be stored in the storage space are pasted with RFID labels, and the RFID labels are used for expressing the goods brands and the goods types of the pasted goods;
the goods storage and statistics module is used for reading RFID tag information on goods, matching the RFID tag information with goods brands and kinds stored in a goods database in the goods storage and statistics module to count the quantity of various goods under each brand, and sending the quantity of various goods under each brand and basic parameter information of the goods to the management cloud server;
the management cloud server receives the numbered storage subunits sent by the storage space dividing module, receives sales volumes of different types of goods under different brands and input by the goods information input module, counts the total number of sales of all types of goods under different brands and the sales volumes of various types of goods under different brands, and numbers the brands according to the sequence of the total number of sales of the brands from high to low, wherein the sequence is 1,2, 1, i, n;
the management cloud server sequentially matches each brand with the same number with the storage subunits according to the number sequence of the total number of sales of each brand and the number sequence of each storage subunit, namely, the brand with the highest sales total number of all kinds of goods in each brand is stored in the storage subunit with the number of 1, the brand with the next sales total number is stored in the storage subunit with the number of 2, and the storage positions of each brand are sequentially distributed;
the management cloud server receives the basic parameter information of different types of goods under different brands sent by the goods information input module, the characteristics of goods such as the goods volume, the goods weight, the goods height, the goods width and the like in different kinds of goods are numbered, which are respectively 1,2, 1, f, t, counting according to different goods types under different brands to obtain a brand goods feature set Aij (Aij1, Aij 2.., aijf.., aijt.), wherein the specific gravity coefficients corresponding to the characteristics of the goods are different and are respectively gaij1, gaij2, gaijf, gaije, gaijt, and gaij1+ gaij2+ - ·+ gaijf + - ·+ gaijt ═ 1, Aij represents the basic parameter set of the jth kind of goods corresponding to the brand with the number sequence i, aijf represents the f-th goods characteristic information of the jth kind of goods corresponding to the brand with the number sequence i;
the management cloud server constructs a goods distribution storage model according to the contents input by the storage space dividing module and the goods information input module, wherein the formula of the goods distribution storage model is
W represents an item distribution storage coefficient, u represents an item shape, the shape of an item package of the same type is fixed, u is 1 if the item package shape is a rectangular parallelepiped, u is 0.7 if the item package shape is a sphere, u is 0.5 if the item package shape is not a rectangular parallelepiped or a sphere, bij represents the number of sales of an item of the jth type with a brand number i, gj represents a specific gravity coefficient occupied by an item of the jth type with a brand number i, aijf represents the f-th item characteristic information of an item of the jth type corresponding to a brand with a brand number i in the order of number i, gaijf represents the f-th item characteristic information of an item of the jth type corresponding to a brand with a brand number i in the order of number i, and gaijf represents theThe specific gravity of the f-th article characteristic information of the j-th article corresponding to the brand with the numbering sequence i is shown, and z is a height level storage interval;
different height grade storage sections correspond to different goods distribution storage coefficient ranges, and the ranges are respectively W1, W2, W3 and W4, the goods distribution storage coefficient W1 corresponding to the goods stored in the first height grade storage section is larger than a first threshold coefficient, the goods distribution storage coefficient W2 corresponding to the goods stored in the second height grade storage section is smaller than W2 and smaller than the first threshold coefficient, the goods distribution storage coefficient W3 corresponding to the goods stored in the third height grade storage section is smaller than W3 and smaller than a second threshold coefficient, the goods distribution storage coefficient W4 corresponding to the goods stored in the fourth height grade storage section is smaller than the W4 and smaller than the third threshold coefficient, and the first threshold coefficient, the second threshold coefficient, the third threshold coefficient and the fourth threshold coefficient are set goods distribution storage coefficients;
the goods storage statistical module identifies RFID labels on goods and sends the identified goods basic parameter information to the management cloud server, the management cloud server matches the numbers of storage subunits corresponding to the brands according to the goods brands in the basic parameter information of the goods, after the storage subunits are matched, the goods distribution storage coefficients of the goods are counted according to the basic parameter information of the goods, the packing shapes of the goods and under different height grade storage intervals, and the goods distribution storage coefficients calculated by the goods in the height grade storage interval are judged whether to meet the range of the goods distribution storage coefficients corresponding to the current height grade storage interval or not, if yes, the goods are stored in the height grade storage interval, if not, the height grade storage interval is changed until the goods distribution storage coefficients meet the range of the goods distribution storage coefficients corresponding to the current height grade storage interval, meanwhile, the management cloud server adds 1 to the quantity of goods stored in the height level storage interval;
the management cloud server counts the quantity of goods stored in each height grade storage interval in each storage subunit, sends the quantity of the goods stored in each height grade storage interval in different storage subunits to the display terminal, calculates the residual storage space coefficient of each height grade storage interval in the same storage subunit according to the quantity of the goods stored in each height grade storage interval in different storage subunits, judges the residual storage space coefficient of four height grade storage intervals and sends the counted residual storage space coefficient corresponding to each height grade storage interval in each storage subunit to the display terminal;
and the display terminal is a liquid crystal display and is used for receiving and displaying the goods quantity and the residual storage space coefficient stored in each height grade storage interval in each storage subunit sent by the management cloud server.
Further, a spare storage subunit is arranged between the two adjacent storage subunits, and once the remaining storage space of the storage subunit is smaller than the set storage space threshold, the storage space of the spare storage subunit adjacent to the storage subunit whose remaining storage space is smaller than the set storage space threshold is divided into the storage subunits whose remaining storage space is smaller than the set storage space threshold, so as to satisfy the remaining storage space of the storage subunit.
Furthermore, a first height level storage interval, a second height level storage interval, a third height level storage interval and a fourth height level storage interval are sequentially arranged in each storage subunit from bottom to top, and heights corresponding to the first height level storage interval, the second height level storage interval, the third height level storage interval and the fourth height level storage interval are sequentially reduced.
Furthermore, the goods storage and statistics module comprises a reader, a processor, a goods database and a goods information statistics unit, wherein the processor is respectively connected with the reader, the goods database and the goods information statistics unit, the reader is installed at an inlet of the storage area and used for scanning the RFID tags on goods to be stored so as to read the RFID tag information on the goods and send the read tag information to the processor; the goods database is used for storing basic parameter information of all kinds of goods under all brands;
the processor is used for receiving the label information sent by the reader, matching the received label information with the goods brands and types stored in the goods database, sending the basic parameter information of goods of the same brand and type successfully matched to the goods information statistical unit, adding 1 to the quantity of the goods of the type under the brand, and sending the quantity of the goods of each type corresponding to each brand to the goods information statistical unit; the goods information statistical unit is used for receiving the quantity of various goods under each brand and the basic parameter information of each goods, and sending the quantity of various goods under each brand and the basic parameter information of each goods to the management cloud server.
Further, various goods under the same brand are numbered according to the sequence of the sales quantity from high to low, which are 1,2, a.
Further, when z is represented as a first height level storage section, z takes 4, when z is represented as a second height level storage section, z takes 3, when z is represented as a third height level storage section, z takes 2, and when z is represented as a fourth height level storage section, z takes 1.
Further, the remaining storage space coefficients
y is represented as the y-th height level storage interval, and y is 1,2,3,4, Vy sheetVolume expressed as the y-th height level storage interval, ayijls represents the volume of a jth kind of goods corresponding to the ith brand in the yth height level storage interval, ayS in ijls represents the number of jth type goods corresponding to ith brand in the yth height level storage region, and q represents the yth height level storage regionThe maximum number of items in the compartment.
Further, when the remaining storage space coefficient of at least one of the four height level storage sections is smaller than the set standard remaining space coefficient, the storage space of the spare storage subunit adjacent to the storage subunit is divided into the storage subunits by using the fixed storage space until the remaining storage space coefficients of the four height level storage sections in the storage subunit are all larger than the set standard remaining space coefficient.
The invention has the beneficial effects that:
according to the intelligent distribution and storage system for the warehouse logistics, the storage space of the warehouse logistics is divided into a plurality of storage subunits, numbering is carried out according to the sequence from the storage subunits to the warehouse logistics outlets from near to far, the total quantity of all goods sold under different brands is counted, the goods under the brand with the highest sales quantity in each brand are stored under the storage subunit which is closest to the outlets, so that the management personnel can conveniently take the goods, the storage space is effectively divided, and the stock and goods taking speed of the management personnel is improved;
according to the brand of goods, a corresponding storage subunit is selected, a goods distribution storage model is established according to basic parameter information of each goods, in the goods storage process, a goods storage statistical module obtains the basic parameter information of the goods to be stored, the basic parameter information corresponding to the goods is brought into the goods distribution storage model to determine the goods distribution storage coefficient of the goods in different height grade storage intervals, the goods distribution storage coefficient is compared with the matching storage coefficient range corresponding to the different height grade storage intervals to determine the height grade storage interval of the goods storage, so that the goods with large goods distribution storage coefficient are stored to the lowest end, the difficulty degree of goods storage is reduced, the storage efficiency is improved, and the safety of goods storage is greatly improved;
the storage system has the advantages that the capacity of the residual storage space in each height grade storage interval in each storage subunit is counted to determine the coefficient of the residual storage space, once the coefficient of the residual storage space in at least one height grade storage interval in all height grade storage intervals in the same storage subunit is smaller than the set standard residual space coefficient, the storage space of the standby storage subunit is divided into the storage subunits, the reasonable distribution of the storage space is improved, the storage requirement of goods storage is met, the storage system has the advantages of being high in distribution rationality, high in storage effect and high in storage space utilization rate, and the efficiency and the safety of managers for storing and taking the goods are greatly improved.
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 an intelligent distribution and storage system for warehouse logistics according to the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of 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.
As shown in fig. 1, the invention relates to an intelligent distribution and storage system for warehouse logistics, which comprises a storage space dividing module, a goods information input module, a goods storage statistical module, a management cloud server and a display terminal, wherein the management cloud server is respectively connected with the storage space dividing module, the goods information input module, the goods storage statistical module and the display terminal;
the storage space dividing module divides the storage space of the warehouse logistics into a plurality of storage subunits and standby storage subunits, the storage subunits are equal in space volume, different storage subunits are used for storing goods of different brands, the storage subunits are numbered according to the sequence that the storage subunits are far away from the warehouse logistics outlet from near to far, the sequence is 1,2, a. The storage subunit comprises a plurality of storage intervals with different storage heights, each storage subunit is divided into four height intervals which are a first height grade storage interval, a second height grade storage interval, a third height grade storage interval and a fourth height grade storage interval in sequence, and the heights corresponding to the first height grade storage interval, the second height grade storage interval, the third height grade storage interval and the fourth height grade storage interval are reduced in sequence;
and a spare storage subunit is arranged between two adjacent storage subunits, once the residual storage space of the storage subunit is smaller than the set storage space threshold, the storage space of the spare storage subunit adjacent to the storage subunit of which the residual storage space is smaller than the set storage space threshold is divided into the storage subunits of which the residual storage space is smaller than the set storage space threshold, so that the residual storage space of the storage subunit is met, and the distance between the two adjacent storage subunits is ensured to be larger than the set transportation road width.
The goods information input module is used for inputting the sales volume of goods of different types under different brands within set time, inputting basic parameter information of different types under different brands, wherein the basic parameter information comprises goods brands, goods types, goods volumes, goods weights, goods heights and goods widths, and sending the input sales volume of goods of different types under different brands and the basic parameter information of goods of different types under different brands to the management cloud server;
all goods needing to be stored in the storage space are pasted with RFID labels, and the RFID labels are used for expressing the goods brands and the goods types of the pasted goods;
the goods storage and statistics module comprises a reader, a processor, a goods database and a goods information statistics unit, wherein the processor is respectively connected with the reader, the goods database and the goods information statistics unit; the goods database is used for storing basic parameter information of all kinds of goods under all brands;
the processor is used for receiving the label information sent by the reader, matching the received label information with the goods brands and types stored in the goods database, sending the basic parameter information of goods of the same brand and type successfully matched to the goods information statistical unit, adding 1 to the quantity of the goods of the type under the brand, and sending the quantity of the goods of each type corresponding to each brand to the goods information statistical unit; the goods information statistical unit is used for receiving the quantity of various goods under each brand and the basic parameter information of each goods, and sending the quantity of various goods under each brand and the basic parameter information of each goods to the management cloud server;
the management cloud server receives the numbered storage subunits sent by the storage space dividing module, receives the sales quantities of different types of goods under different brands input by the goods information input module, counts the total quantity of sales of all types of goods under different brands and the sales quantities of various types of goods under different brands, numbers the brands according to the sequence of the total quantity of sales of the brands from high to low, and sequentially sets the sales quantities as 1,2, 1, i, n, numbers various types of goods under the same brand according to the sequence of the sales quantities from high to low, sequentially sets the sales quantities as 1,2, 1, j, 1, h, and forms a goods type sales quantity set Bi (Bi1, Bi2, i, bij, i, Bi), wherein the Bi represents the sales quantities of various types of goods with brand numbers of i, and the bij represents the sales quantity of the jth type of goods with brand numbers of i, the specific gravity coefficients corresponding to different goods types are different and are g1, g2, g., g, and g1 > g2 > g, g > 1+ g2+. + g > g + g 1;
the management cloud server sequentially matches each brand with the same number with the storage subunits according to the number sequence of the total number of sales of each brand and the number sequence of each storage subunit, namely, the brand with the highest sales total number of all kinds of goods in each brand is stored in the storage subunit with the number of 1, the brand with the next sales total number is stored in the storage subunit with the number of 2, and the storage positions of each brand are sequentially distributed;
the management cloud server receives the basic parameter information of different types of goods under different brands sent by the goods information input module, the characteristics of goods such as the goods volume, the goods weight, the goods height, the goods width and the like in different kinds of goods are numbered, which are respectively 1,2, 1, f, t, counting according to different goods types under different brands to obtain a brand goods feature set Aij (Aij1, Aij 2.., aijf.., aijt.), wherein the specific gravity coefficients corresponding to the characteristics of the goods are different and are respectively gaij1, gaij2, gaijf, gaije, gaijt, and gaij1+ gaij2+ - ·+ gaijf + - ·+ gaijt ═ 1, Aij represents the basic parameter set of the jth kind of goods corresponding to the brand with the number sequence i, aijf represents the f-th goods characteristic information of the jth kind of goods corresponding to the brand with the number sequence i;
the management cloud server constructs a goods distribution storage model according to the contents input by the storage space dividing module and the goods information input module, wherein the formula of the goods distribution storage model is
W represents an article distribution storage coefficient, u represents an article shape, the shape of an article package of the same type is fixed, u is 1 if the article package shape is a rectangular parallelepiped, u is 0.7 if the article package shape is a sphere, u is 0.5 if the article package shape is not a rectangular parallelepiped or a sphere, bij represents a sales number of an article of a jth kind with a brand number i, gj represents a specific gravity coefficient occupied by the article of the jth kind with a brand number i, aijf represents f-th article characteristic information of the article of the jth kind corresponding to the brand with a number i in the order of number, gaijf represents a specific gravity occupied by the f-th article characteristic information of the article of the jth kind corresponding to the brand with a number i in the order of number, z represents a height level storage section, when z represents a first height level storage section, z represents 4, when z represents a second height level storage section, z is 3, when z is represented as a third highest ranked memory interval, z is 2, when z is in the tableWhen shown as a fourth height level storage interval, z is taken to be 1;
different height level storage intervals correspond different goods distribution storage coefficient ranges and are respectively W1, W2, W3 and W4, the goods distribution storage coefficient W1 that the goods that the storage of first height level storage interval corresponds is greater than first threshold coefficient, the goods that the storage of second height level storage interval corresponds is distributed storage coefficient W2, second threshold coefficient is less than W2 and is less than first threshold coefficient, the goods that the storage of third height level storage interval corresponds is distributed storage coefficient W3, third threshold coefficient is less than W3 and is less than second threshold coefficient, the goods that the storage of fourth height level storage interval corresponds is distributed storage coefficient W4, W4 is less than third threshold coefficient, first threshold coefficient, second threshold coefficient, third threshold coefficient and fourth threshold coefficient are the goods distribution storage coefficient that sets for.
The goods storage statistical module identifies RFID labels on goods and sends the identified goods basic parameter information to the management cloud server, the management cloud server matches the numbers of storage subunits corresponding to the brands according to the goods brands in the basic parameter information of the goods, after the storage subunits are matched, the goods distribution storage coefficients of the goods are counted according to the basic parameter information of the goods, the packing shapes of the goods and under different height grade storage intervals, and the goods distribution storage coefficients calculated by the goods in the height grade storage interval are judged whether to meet the range of the goods distribution storage coefficients corresponding to the current height grade storage interval or not, if yes, the goods are stored in the height grade storage interval, if not, the height grade storage interval is changed until the goods distribution storage coefficients meet the range of the goods distribution storage coefficients corresponding to the current height grade storage interval, meanwhile, the management cloud server adds 1 to the quantity of goods stored in the height level storage interval;
the management cloud server counts the quantity of goods stored in each height grade storage interval in each storage subunit, sends the quantity of the goods stored in each height grade storage interval in different storage subunits to the display terminal, and simultaneously manages the cloud serviceThe device calculates the residual storage space coefficient of each height grade storage interval in the same storage subunit according to the quantity of goods stored in each height grade storage interval in different storage subunits, and the residual storage space coefficient
y is represented as the y-th height level storage interval, and y is 1,2,3,4, Vy sheetVolume expressed as the y-th height level storage interval, ayijls represents the volume of a jth kind of goods corresponding to the ith brand in the yth height level storage interval, ayS in ijls is expressed as the number of j category goods corresponding to the ith brand in the y-th height level storage interval, q is expressed as the maximum value of the number of goods in the y-th height level storage interval, the management cloud server judges the residual space storage coefficients of four height level storage intervals, if the residual storage space coefficient of at least one height level storage interval in the four height level storage intervals is smaller than the set standard residual space coefficient, the storage space of the standby storage subunit adjacent to the storage subunit is divided into the sub-storage units by using fixed storage space until the residual storage space coefficients of the four height level storage intervals in the storage subunit are all larger than the set standard residual space coefficient, and the management cloud server counts the residual storage space coefficients corresponding to the height level storage intervals in the storage subunits, and sending the counted residual storage space coefficients corresponding to the height grade storage intervals in each storage subunit to a display terminal.
The display terminal is a liquid crystal display and is used for receiving and displaying the quantity of goods and the residual storage space coefficient stored in each height grade storage interval in each storage subunit sent by the management cloud server, and storage logistics management personnel can conveniently and visually know the quantity of goods and the residual storage space coefficient stored in each height grade storage interval in each storage subunit.
According to the intelligent distribution and storage system for the warehouse logistics, the storage space of the warehouse logistics is divided into a plurality of storage subunits, numbering is carried out according to the sequence from the storage subunits to the warehouse logistics outlets from near to far, the total quantity of all goods sold under different brands is counted, the goods under the brand with the highest sales quantity in each brand are stored under the storage subunit which is closest to the outlets, so that the management personnel can conveniently take the goods, the storage space is effectively divided, and the stock and goods taking speed of the management personnel is improved;
according to the brand of goods, a corresponding storage subunit is selected, a goods distribution storage model is established according to basic parameter information of each goods, in the goods storage process, a goods storage statistical module obtains the basic parameter information of the goods to be stored, the basic parameter information corresponding to the goods is brought into the goods distribution storage model to determine the goods distribution storage coefficient of the goods in different height grade storage intervals, the goods distribution storage coefficient is compared with the matching storage coefficient range corresponding to the different height grade storage intervals to determine the height grade storage interval of the goods storage, so that the goods with large goods distribution storage coefficient are stored to the lowest end, the difficulty degree of goods storage is reduced, the storage efficiency is improved, and the safety of goods storage is greatly improved;
the storage system has the advantages that the capacity of the residual storage space in each height grade storage interval in each storage subunit is counted to determine the coefficient of the residual storage space, once the coefficient of the residual storage space in at least one height grade storage interval in all height grade storage intervals in the same storage subunit is smaller than the set standard residual space coefficient, the storage space of the standby storage subunit is divided into the storage subunits, the reasonable distribution of the storage space is improved, the storage requirement of goods storage is met, the storage system has the advantages of being high in distribution rationality, high in storage effect and high in storage space utilization rate, and the efficiency and the safety of managers for storing and taking the goods are greatly improved.
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 (6)
1. The utility model provides an intelligent distribution storage system of warehouse commodity circulation which characterized in that: the system comprises a storage space dividing module, a goods information input module, a goods storage statistical module, a management cloud server and a display terminal, wherein the management cloud server is respectively connected with the storage space dividing module, the goods information input module, the goods storage statistical module and the display terminal;
the storage space dividing module divides the storage space of the warehouse logistics into a plurality of storage subunits and standby storage subunits, the storage subunits are equal in space volume, different storage subunits are used for storing goods of different brands, the storage subunits are numbered according to the sequence that the storage subunits are far away from the warehouse logistics outlet from near to far, the sequence is 1,2, a. Each storage subunit is divided into four height intervals which are a first height grade storage interval, a second height grade storage interval, a third height grade storage interval and a fourth height grade storage interval in sequence;
a spare storage subunit is arranged between the two adjacent storage subunits, and once the remaining storage space of the storage subunit is smaller than the set storage space threshold, the storage space of the spare storage subunit adjacent to the storage subunit of which the remaining storage space is smaller than the set storage space threshold is divided into the storage subunits of which the remaining storage space is smaller than the set storage space threshold so as to meet the requirement of the remaining storage space of the storage subunit;
the storage subunits are sequentially provided with a first height grade storage interval, a second height grade storage interval, a third height grade storage interval and a fourth height grade storage interval from bottom to top, and the heights corresponding to the first height grade storage interval, the second height grade storage interval, the third height grade storage interval and the fourth height grade storage interval are sequentially reduced;
the goods information input module is used for inputting the sales volume of goods of different types under different brands within set time, inputting basic parameter information of different types under different brands, wherein the basic parameter information comprises goods brands, goods types, goods volumes, goods weights, goods heights and goods widths, and sending the input sales volume of goods of different types under different brands and the basic parameter information of goods of different types under different brands to the management cloud server;
all goods needing to be stored in the storage space are pasted with RFID labels, and the RFID labels are used for expressing the goods brands and the goods types of the pasted goods;
the goods storage and statistics module is used for reading RFID tag information on goods, matching the RFID tag information with goods brands and kinds stored in a goods database in the goods storage and statistics module to count the quantity of various goods under each brand, and sending the quantity of various goods under each brand and basic parameter information of the goods to the management cloud server;
the management cloud server receives the numbered storage subunits sent by the storage space dividing module, receives sales volumes of different types of goods under different brands and input by the goods information input module, counts the total number of sales of all types of goods under different brands and the sales volumes of various types of goods under different brands, and numbers the brands according to the sequence of the total number of sales of the brands from high to low, wherein the sequence is 1,2, 1, i, n;
the management cloud server sequentially matches each brand with the same number with the storage subunits according to the number sequence of the total number of sales of each brand and the number sequence of each storage subunit, namely, the brand with the highest sales total number of all kinds of goods in each brand is stored in the storage subunit with the number of 1, the brand with the next sales total number is stored in the storage subunit with the number of 2, and the storage positions of each brand are sequentially distributed;
the management cloud server receives the basic parameter information of different types of goods under different brands sent by the goods information input module, the characteristics of goods such as the goods volume, the goods weight, the goods height, the goods width and the like in different kinds of goods are numbered, which are respectively 1,2, 1, f, t, counting according to different goods types under different brands to obtain a brand goods feature set Aij (Aij1, Aij 2.., aijf.., aijt.), wherein the specific gravity coefficients corresponding to the characteristics of the goods are different and are respectively gaij1, gaij2, gaijf, gaije, gaijt, and gaij1+ gaij2+ - ·+ gaijf + - ·+ gaijt ═ 1, Aij represents the basic parameter set of the jth kind of goods corresponding to the brand with the number sequence i, aijf represents the f-th goods characteristic information of the jth kind of goods corresponding to the brand with the number sequence i;
the management cloud server constructs a goods distribution storage model according to the contents input by the storage space dividing module and the goods information input module, wherein the formula of the goods distribution storage model is
W represents an article distribution storage coefficient, u represents an article shape, the shape of an article package of the same type is fixed, u is 1 if the article package shape is a rectangular parallelepiped, u is 0.7 if the article package shape is a sphere, u is 0.5 if the article package shape is not a rectangular parallelepiped or a sphere, bij represents a sales number of an article of a jth type with a brand number i, gj represents a specific gravity coefficient occupied by the article of the jth type with the brand number i, aijf represents f-th article characteristic information of the article of the jth type corresponding to the brand with the brand number i, gaijf represents a specific gravity occupied by the f-th article characteristic information of the article of the jth type corresponding to the brand with the brand number i, and z represents a height level storage section;
different height grade storage sections correspond to different goods distribution storage coefficient ranges, and the ranges are respectively W1, W2, W3 and W4, the goods distribution storage coefficient W1 corresponding to the goods stored in the first height grade storage section is larger than a first threshold coefficient, the goods distribution storage coefficient W2 corresponding to the goods stored in the second height grade storage section is smaller than W2 and smaller than the first threshold coefficient, the goods distribution storage coefficient W3 corresponding to the goods stored in the third height grade storage section is smaller than W3 and smaller than a second threshold coefficient, the goods distribution storage coefficient W4 corresponding to the goods stored in the fourth height grade storage section is smaller than the W4 and smaller than the third threshold coefficient, and the first threshold coefficient, the second threshold coefficient, the third threshold coefficient and the fourth threshold coefficient are set goods distribution storage coefficients;
the goods storage statistical module identifies RFID labels on goods and sends the identified goods basic parameter information to the management cloud server, the management cloud server matches the numbers of storage subunits corresponding to the brands according to the goods brands in the basic parameter information of the goods, after the storage subunits are matched, the goods distribution storage coefficients of the goods are counted according to the basic parameter information of the goods, the packing shapes of the goods and under different height grade storage intervals, and the goods distribution storage coefficients calculated by the goods in the height grade storage interval are judged whether to meet the range of the goods distribution storage coefficients corresponding to the current height grade storage interval or not, if yes, the goods are stored in the height grade storage interval, if not, the height grade storage interval is changed until the goods distribution storage coefficients meet the range of the goods distribution storage coefficients corresponding to the current height grade storage interval, meanwhile, the management cloud server adds 1 to the quantity of goods stored in the height level storage interval;
the management cloud server counts the quantity of goods stored in each height grade storage interval in each storage subunit, sends the quantity of the goods stored in each height grade storage interval in different storage subunits to the display terminal, calculates the residual storage space coefficient of each height grade storage interval in the same storage subunit according to the quantity of the goods stored in each height grade storage interval in different storage subunits, judges the residual storage space coefficient of four height grade storage intervals and sends the counted residual storage space coefficient corresponding to each height grade storage interval in each storage subunit to the display terminal;
and the display terminal is a liquid crystal display and is used for receiving and displaying the goods quantity and the residual storage space coefficient stored in each height grade storage interval in each storage subunit sent by the management cloud server.
2. The intelligent distribution and storage system for warehouse logistics according to claim 1, wherein: the goods storage and statistics module comprises a reader, a processor, a goods database and a goods information statistics unit, wherein the processor is respectively connected with the reader, the goods database and the goods information statistics unit; the goods database is used for storing basic parameter information of all kinds of goods under all brands;
the processor is used for receiving the label information sent by the reader, matching the received label information with the goods brands and types stored in the goods database, sending the basic parameter information of goods of the same brand and type successfully matched to the goods information statistical unit, adding 1 to the quantity of the goods of the type under the brand, and sending the quantity of the goods of each type corresponding to each brand to the goods information statistical unit; the goods information statistical unit is used for receiving the quantity of various goods under each brand and the basic parameter information of each goods, and sending the quantity of various goods under each brand and the basic parameter information of each goods to the management cloud server.
3. The intelligent distribution and storage system for warehouse logistics according to any one of claims 1-2, wherein: the method comprises the steps of numbering various goods under the same brand according to the sequence of the sales quantity from high to low, wherein the sequence is 1,2,. fareweight, j,. fareweight, h, and forming a goods kind sales quantity set Bi (Bi1, Bi2,. fareweight, bij,. fareweight, bih), wherein Bi represents the sales quantity of various goods with the brand number i, bij represents the sales quantity of the jth kind goods with the brand number i, and the specific gravity coefficients corresponding to different goods kinds are different and are g1, g2,. fareweight, gj,. high, and g1 > g2 > gj > gj >. high, g1+ g2+. + gj. + g. + 1.
4. The intelligent distribution and storage system for warehouse logistics according to any one of claims 1-3, wherein: when z is represented as a first height level storage section, z takes 4, when z is represented as a second height level storage section, z takes 3, when z is represented as a third height level storage section, z takes 2, and when z is represented as a fourth height level storage section, z takes 1.
5. The intelligent distribution and storage system for warehouse logistics according to any one of claims 1-4, wherein: further, the remaining storage space coefficients
y is represented as the y-th height level storage interval, and y is 1,2,3,4, Vy sheetVolume expressed as the y-th height level storage interval, ayijls represents the volume of a jth kind of goods corresponding to the ith brand in the yth height level storage interval, ayS in ijls represents the quantity of the jth type of goods corresponding to the ith brand in the yth height level storage interval, and q represents the maximum value of the quantity of the goods in the yth height level storage interval.
6. The intelligent distribution and storage system for warehouse logistics according to any one of claims 1-5, wherein: when the residual storage space coefficient of at least one of the four height level storage intervals is smaller than the set standard residual space coefficient, dividing the storage space of the standby storage subunit adjacent to the storage subunit into the storage subunits by using a fixed storage space until the residual storage space coefficients of the four height level storage intervals in the storage subunit are all larger than the set standard residual space coefficient.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010261535.XA CN111461557A (en) | 2018-07-23 | 2018-07-23 | Intelligent distribution and storage system for warehouse logistics |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010261535.XA CN111461557A (en) | 2018-07-23 | 2018-07-23 | Intelligent distribution and storage system for warehouse logistics |
| CN201810809506.5A CN108960670B (en) | 2018-07-23 | 2018-07-23 | Intelligent distribution and storage system for warehouse logistics |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810809506.5A Division CN108960670B (en) | 2018-07-23 | 2018-07-23 | Intelligent distribution and storage system for warehouse logistics |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111461557A true CN111461557A (en) | 2020-07-28 |
Family
ID=64464298
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010261535.XA Withdrawn CN111461557A (en) | 2018-07-23 | 2018-07-23 | Intelligent distribution and storage system for warehouse logistics |
| CN201810809506.5A Active CN108960670B (en) | 2018-07-23 | 2018-07-23 | Intelligent distribution and storage system for warehouse logistics |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810809506.5A Active CN108960670B (en) | 2018-07-23 | 2018-07-23 | Intelligent distribution and storage system for warehouse logistics |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN111461557A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112053119A (en) * | 2020-09-21 | 2020-12-08 | 深圳中神电子科技有限公司 | Cold chain logistics storage intelligent management system based on big data |
| CN113393196A (en) * | 2021-06-25 | 2021-09-14 | 上海品蓝信息科技有限公司 | Management system of intelligent warehousing equipment |
| CN115860630A (en) * | 2022-10-27 | 2023-03-28 | 青岛家哇云网络科技有限公司 | Intelligent warehouse position management system |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110084963A (en) * | 2019-04-23 | 2019-08-02 | 苏州昇德智能科技有限公司 | The real-time positioning of intelligence retail and message management methods and system |
| CN110516886A (en) * | 2019-09-02 | 2019-11-29 | 云南电网有限责任公司电力科学研究院 | Storage Optimal Configuration Method and system based on RFID and appraisal of equipment |
| CN111792262B (en) * | 2020-07-23 | 2021-09-24 | 阳光学院 | Multifunctional logistics storage center and intelligent distribution station |
| CN112232734B (en) * | 2020-09-29 | 2022-12-20 | 深圳智汇创想科技有限责任公司 | Sorting system for intelligent storage and working method thereof |
| CN112835530A (en) * | 2021-02-24 | 2021-05-25 | 珠海格力电器股份有限公司 | Method for prolonging service life of memory and air conditioner |
| CN113126678A (en) * | 2021-04-10 | 2021-07-16 | 浙江爱迪尔包装股份有限公司 | Management tool suitable for product batch management data |
| CN114084568B (en) * | 2021-11-17 | 2024-03-15 | 国网山东省电力公司莱芜供电公司 | Automatic cargo distribution method and system for intelligent storage rack |
| CN114936829B (en) * | 2022-07-26 | 2022-10-21 | 山东睿达电子科技有限责任公司 | Product logistics storage is with intelligent identification management and control system based on RFID technique |
| CN115973641B (en) * | 2022-12-26 | 2023-09-29 | 深圳市深科特信息技术有限公司 | Material warehouse management method and system for intelligent goods shelf |
| CN117993897B (en) * | 2024-04-03 | 2024-08-06 | 西安佳世洁环保科技有限公司 | Intelligent management regulation and control method and system for recycling solid wastes |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014141394A1 (en) * | 2013-03-13 | 2014-09-18 | 株式会社日立製作所 | Device for assisting determination of supply group and program for assisting determination of supply group |
| CN104732367B (en) * | 2015-03-04 | 2020-08-21 | 上海鸿研物流技术有限公司 | Sharing method and system of recyclable logistics appliances |
| CN106960295B (en) * | 2016-01-11 | 2020-11-27 | 菜鸟智能物流控股有限公司 | Allocation method and device and pre-sale system |
| CN205334532U (en) * | 2016-01-12 | 2016-06-22 | 温州科达智能系统工程有限公司 | Storage and logistics management system |
-
2018
- 2018-07-23 CN CN202010261535.XA patent/CN111461557A/en not_active Withdrawn
- 2018-07-23 CN CN201810809506.5A patent/CN108960670B/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112053119A (en) * | 2020-09-21 | 2020-12-08 | 深圳中神电子科技有限公司 | Cold chain logistics storage intelligent management system based on big data |
| CN113393196A (en) * | 2021-06-25 | 2021-09-14 | 上海品蓝信息科技有限公司 | Management system of intelligent warehousing equipment |
| CN115860630A (en) * | 2022-10-27 | 2023-03-28 | 青岛家哇云网络科技有限公司 | Intelligent warehouse position management system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108960670A (en) | 2018-12-07 |
| CN108960670B (en) | 2020-04-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108960670B (en) | Intelligent distribution and storage system for warehouse logistics | |
| CN114476481A (en) | Intelligent classification logistics storage system | |
| Ramaa et al. | Impact of warehouse management system in a supply chain | |
| CN103927643B (en) | A kind of method that large-scale order form treatment optimizes with Distribution path | |
| CN108830531A (en) | A kind of intelligent classification logistic storage system | |
| Kao et al. | Lot size-reorder point inventory model with fuzzy demands | |
| CN112216034A (en) | Method for taking free storage position of express cabinet as temporary unmanned sales counter | |
| CN111798140A (en) | Intelligent arrangement method for stored goods | |
| CN109118138A (en) | One ticket more than one piece pre-generates the method and computer readable storage medium of face list | |
| WO2024207985A1 (en) | Multi-dimensional order merging method | |
| CN110751436A (en) | Warehouse management system based on dynamic inventory management | |
| CN111056210B (en) | Material box position adjusting method and device, storage system, medium and electronic equipment | |
| CN114781982A (en) | Cold chain warehouse management method and system | |
| CN111724114A (en) | E-commerce commodity distribution logistics intelligent management system based on big data | |
| CN114435816B (en) | Storage allocation method for three-dimensional warehouse inventory | |
| CN109993244A (en) | A method of facilitating shelf where the quick locating goods of shops | |
| CN210823522U (en) | Intelligent logistics box | |
| CN116882895A (en) | Inventory management system for recyclable items and storage medium | |
| CN114819813A (en) | Intelligent management system and method for order commodity picking task | |
| CN112132643A (en) | Commodity shelving method and device, electronic equipment and readable medium | |
| CN112232734B (en) | Sorting system for intelligent storage and working method thereof | |
| CN108107793A (en) | A kind of anti-violence based on LoRa sorts anti-lost logistics real time monitoring apparatus | |
| CN204331796U (en) | A kind of modular receptacle and modular receptacle collection assembling device | |
| Lei et al. | Integrated optimization of mixed cargo packing and cargo location assignment in automated storage and retrieval systems | |
| CN118278856A (en) | Goods picking method and device, storage medium and electronic device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20200728 |