CN114013901A - Secondary goods shelving method, device, equipment and storage medium - Google Patents
Secondary goods shelving method, device, equipment and storage medium Download PDFInfo
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- CN114013901A CN114013901A CN202111160975.7A CN202111160975A CN114013901A CN 114013901 A CN114013901 A CN 114013901A CN 202111160975 A CN202111160975 A CN 202111160975A CN 114013901 A CN114013901 A CN 114013901A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
- B65G1/02—Storage devices
- B65G1/04—Storage devices mechanical
- B65G1/137—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
- B65G1/1373—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed for fulfilling orders in warehouses
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
- B65G1/02—Storage devices
- B65G1/04—Storage devices mechanical
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
- B65G1/02—Storage devices
- B65G1/04—Storage devices mechanical
- B65G1/137—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
- B65G1/1371—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed with data records
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2203/00—Indexing code relating to control or detection of the articles or the load carriers during conveying
- B65G2203/02—Control or detection
- B65G2203/0208—Control or detection relating to the transported articles
- B65G2203/0216—Codes or marks on the article
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- Engineering & Computer Science (AREA)
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- Warehouses Or Storage Devices (AREA)
Abstract
The invention is suitable for the technical field of logistics storage, and provides a method, a device, equipment and a storage medium for secondary goods loading, wherein the method comprises the following steps: collecting one or more demand orders, calculating the total demand of all the articles to be shelved on the one or more demand orders to form a shelving statistical table, wherein the shelving statistical table at least comprises one article to be shelved and identifying the commodity information of all the articles to be shelved, the commodity information at least comprises a product information identifier and the total quantity of the same kind of articles to be shelved in the batch, when secondary shelving is carried out on the articles to be shelved, firstly, collecting one or more demand orders to form a shelving statistical table, calculating the total quantity of the demand of each kind of articles to be shelved, selecting each kind of articles to be shelved and scanning the commodity information carried by the articles to be shelved, and if the demand information is matched with the commodity information in the shelving statistical table, representing that the kind of articles have been shelved successfully for the second time.
Description
Technical Field
The invention belongs to the technical field of logistics storage, and particularly relates to a method, a device, equipment and a storage medium for secondary goods shelving.
Background
With the rapid increase of the internet shopping traffic, various emergencies such as: the goods are damaged in the transportation process, the order is placed by the wrong operation of the customer, the goods do not meet the initial expectation of the customer, and the like, and if a large batch of returned goods occurs, the large batch of returned goods is returned to the inventory container. From a logistic perspective, e-commerce returns are activities in which consumers return goods to e-commerce businesses after the transaction intent of the goods is fulfilled and delivered to the consumers. Unlike the return of goods from the enterprise and the supplier B2B, the return of goods from the E-commerce is mainly carried out by the individual consumers, and the returned goods are mostly packaged in one piece. Meanwhile, the electronic commerce returns have the characteristics that the returning time, the variety and the quantity are all uncertain, and the return warehouse wraps are circulated for many times, which undoubtedly brings higher goods loss proportion and more challenging logistics operation requirements to the electronic commerce enterprises.
In the existing method for secondary shelving of goods, each receipt used for shelving of goods is usually scanned one by one, then the goods to be shelved and the number of the goods to be shelved, which are indicated by the receipt, can be displayed in a goods shelving system, and then the goods to be shelved, which are indicated by the receipt, are searched in a large number of goods to be shelved, so that the efficiency of shelving of the goods is very low, and in addition, in the goods loaded on the goods shelf, sorting is performed to obtain the goods in the goods list, and under the condition that the goods in the goods list are not all loaded on the same goods shelf, the goods need to be obtained from another goods shelf containing the needed goods, so the efficiency of sorting the goods is low.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for secondary shelving of goods, and aims to solve the problems in the background art.
The invention is realized in this way, the goods secondary racking method, including: collecting one or more demand orders, calculating the total demand of all the objects to be placed on the shelf on one or more demand orders to form a statistical table for placing on the shelf, wherein the shelving statistical table at least comprises one type of the articles to be shelved and commodity information for identifying all the articles to be shelved, wherein the commodity information at least comprises product information identification and the total quantity of the same kind of articles to be shelved in the batch, the total quantity of the same kind of articles to be shelved is compared with the shelving statistical table, if the total quantity of the articles to be shelved of the same kind is consistent with the comparison structure of the shelving statistical table, indicating that the article to be shelved has been shelved, and, in response to a secondary shelving command, moving the sorting shelves to a shelving position, and re-sorting all the articles to be shelved according to the demand of the articles to be shelved on one or more demand orders.
Preferably, the moving the sorting rack to the racking position includes: calculating the articles to be placed on the shelves with similar relevance degrees in all the articles to be placed on the shelves by a preset relevance degree algorithm, collecting the total quantity of the numerical values of the relevance degrees after calculation, namely acquiring the total quantity of the categories after classifying all the articles to be placed on the shelves, and transferring the sorting shelves with the quantity consistent with the total quantity of the numerical values of the relevance degrees to the placing positions by controlling a self-driven robot, wherein all the articles to be placed on the shelves of the same category are temporarily accommodated on the corresponding sorting shelves.
Preferably, the calculation method of the correlation degrees in all the articles to be placed on the shelf is as follows: dividing the articles to be shelved, of which the similarity is close, into the articles to be shelved of the same category, or setting a preset similar threshold value, and dividing the articles to be shelved, of which the similarity is not lower than the similar threshold value, into the articles to be shelved of the same category.
Preferably, a suitable volume of said sorting racks that can be fully loaded is selected corresponding to the total number of all said items to be loaded of said same category.
Preferably, when all the articles to be placed on the shelves of the same category are placed on the corresponding sorting shelves, the articles to be placed on the shelves of the same category can be placed in a unified manner according to the product information identifiers.
Preferably, on the sorting goods shelf, among all the goods to be shelved of the same category, the goods to be shelved are positioned below the sorting goods shelf with heavier weight and positioned above the sorting goods shelf with lighter weight.
The device for secondary goods loading comprises an acquisition and analysis module, an identification module, a calculation module and a loading module, wherein the collection and analysis module is used for collecting the total amount of all the objects to be shelved appearing on the one or more demand lists, and arranges the statistical table for putting on shelves, the identification module is used for scanning the commodity information of various articles to be put on shelves, wherein the commodity information is the product information identification, the calculation module is used for calculating the association degree of all the articles to be shelved, and the types of all the articles to be shelved of the same type are divided, when the types of all the articles to be shelved are divided, and responding to a secondary racking instruction in real time, and performing racking operation on all the to-be-racked articles of the same category on the corresponding sorting goods shelf.
Preferably, the racking module comprises: the sorting module is used for identifying the commodity information of all the articles to be shelved of the same type, wherein the commodity information comprises the product information identification and the total number of the articles to be shelved of the same type of the batch, the sorting module is further used for uniformly dividing all the articles to be shelved of the same type, the climbing module is used for conveying all the articles to be shelved of the same type sorted by the sorting module to the same position of the sorting shelf, and the conveying module is used for conveying all the articles to be shelved of the same type conveyed by the climbing module to the corresponding position on the sorting shelf.
The equipment that goods secondary was put on shelf includes: one or more processors, wherein each of the processors is configured to store at least one program, and when the at least one program is executed by the one or more processors, the one or more processors implement the secondary goods shelving method according to any one of claims 1 to 6.
A storage medium for secondary shelving of goods, having stored thereon at least one said program of a computer, the at least one program, when executed by one or more processors, implementing a goods shelving method as claimed in any one of claims 1 to 6.
Compared with the prior art, the invention has the beneficial effects that: the invention discloses a method, a device, equipment and a storage medium for secondary shelving of goods, wherein the method comprises the following steps:
when goods to be shelved are shelved for the second time, firstly, one or more demand orders are collected, all the goods to be shelved are uniformly arranged on all the demand orders to form a shelving statistical table, meanwhile, the total quantity of the demand of each kind of goods to be shelved is calculated, then, each kind of goods to be shelved is selected to scan the commodity information carried by the goods to be shelved, the product information identification of the goods to be shelved and the total quantity of the same kind of goods to be shelved in the batch are mainly selected, if the product information identification of the goods to be shelved and the total quantity of the batch are matched with the commodity information in the shelving statistical table, the goods to be shelved represent that the kind of goods are successfully shelved, and subsequently, a worker can sort shelves corresponding to the total quantity of the categories of all the kinds of goods to be shelved to a shelving area through a self-driven robot according to the category total quantity of all the kinds of goods to be shelved, and then, all goods to be placed on the shelves of the same kind are sequentially conveyed to the sorting shelves.
Compared with the prior art, the goods sorting device has the advantages that the number of workers picking in a large number of different types of goods to be placed on shelves can be reduced, the working intensity of the workers is effectively reduced, meanwhile, the goods information (product information identification, the same type of the batch) which is compared with the goods information and is identified is compared with the total number of the goods to be placed on shelves, whether the goods to be placed on shelves of the batch are matched with a demand order or not can be known from the beginning of working, the same sorting is carried out on the goods to be placed on shelves of the same type subsequently, and meanwhile the goods of the same type are located at the same layer of the same sorting shelf so that the goods to be placed on shelves can be uniformly processed by the following workers.
Drawings
FIG. 1 is a schematic flow chart of a secondary racking method of cargo according to the present invention;
FIG. 2 is a schematic view of a process for preparing a listing statistical table according to the present invention;
FIG. 3 is a schematic flow chart of the secondary goods shelving device according to the invention;
FIG. 4 is a schematic structural view of the modules in the racking module of the present invention;
fig. 5 is a schematic structural view of the sorting shelf in the invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings and embodiments, it being understood that the specific embodiments described herein are merely illustrative of the present invention and are not intended to limit the present invention.
Referring to fig. 1, the present invention provides a technical solution:
the secondary goods shelving method comprises the following steps:
collecting one or more demand orders, calculating the total demand of all the articles to be shelved on the one or more demand orders to form a shelving statistical table, wherein the shelving statistical table at least comprises one article to be shelved, and identifying commodity information of all the articles to be shelved, wherein the commodity information at least comprises a product information identifier and the total quantity of the same article to be shelved of the batch, comparing the total quantity of the same article to be shelved with the shelving statistical table, if the total quantity of the same article to be shelved is consistent with the comparison structure of the shelving statistical table, indicating that the article to be shelved is shelved, and meanwhile, responding to a secondary shelving instruction, moving a sorting shelf to a shelving position, and re-sorting all the articles to be shelved according to the demand of the article to be shelved on the one or more demand orders.
Specifically, the secondary goods shelving method comprises the following steps:
s11, firstly, sorting all the required goods to be shelved on one or more demand orders of the batch, meanwhile, calculating the number of each kind of goods to be shelved, and calculating the total number of the required goods to be shelved;
s12, the sorted content comprises a shelving statistical table, wherein the shelving statistical table at least comprises one article to be shelved, and preferably, in order to facilitate the uniform sorting of all the articles to be shelved by subsequent workers, the shelving statistical table divides the articles to be shelved of the same type in the sorting process, so that the articles to be shelved of the same type can be classified, the subsequent workers can conveniently check the articles, and the subsequent storage of the articles to be shelved of the same type on the same sorting shelf is facilitated;
s13, selecting one article in each article to be placed on shelf, scanning the commodity information of the article, and displaying the product information identification of the article and the total number of the correspondingly scanned articles to be placed on shelf in the batch of the articles to be placed on shelf in the scanning process;
it should be noted that the total number of the goods to be shelved in the batch and the number of the goods to be shelved in each type are summarized through the previous operation step, so that when the commodity information is scanned, the number of the goods to be shelved in the batch is directly displayed, and the comparison and the correction of the brightest goods to be shelved on the subsequent shelving statistical table are facilitated.
S14, when the sum of all the above-mentioned objects to be shelved and the quantity of each object to be shelved are summarized, the staff compares the obtained numerical value with the total quantity of each type of objects to be shelved on the shelving statistical table of the city in the prior statistics, if the comparison result is consistent, the compared objects to be shelved are in accordance with the shelving requirement, and then secondary shelving of the objects can be completed;
further, if the comparison result is inconsistent, whether the comparison article is an article to be shelved which is required on the demand order can be checked, if the article to be shelved does not exist on the demand order, the article to be shelved does not need to be shelved, and similarly, if the comparison result is different from the numerical value appearing on the demand order, the article to be shelved of the type is increased or decreased according to the statistical listing table which is counted on the demand order.
S15, measuring and calculating the relevance between all the articles to be placed on the shelf through a preset relevance algorithm, uniformly planning all the articles to be placed on the shelf with similar measurement and calculation results, and uploading the measured and calculated number of classification items to an external control system;
s16, transferring the sorting goods shelves with the same number as the measured and calculated sorted items to the upper shelf position through a self-driven robot in wireless control connection with external control equipment, and then transferring the same type of goods to be placed on the shelves one by one to the corresponding sorting goods shelves;
in addition, in the subsequent transferring process to the sorting goods shelf, the same type of goods to be placed on the same layer or adjacent multilayer placing racks of the sorting goods shelf can be placed according to the product information identification of the goods to be placed on the goods, so that the following staff can timely and accurately place the goods to be placed on the shelves in a unified planning mode.
Referring to fig. 2, in the process of preparing the statistical table on shelf,
s21, firstly, one or more demand orders need to be collected, and the types and the number of all the articles to be shelved appearing on all the collected demand orders are counted;
s22, wherein the shelving statistical table is provided with at least one article to be shelved, so the shelving statistical table is provided with the quantity and the classification of at least one article to be shelved;
and S23, simultaneously, when collecting the shelving statistical table, classifying the types of all the articles to be shelved so as to be convenient for being rapidly compared with the total quantity of the articles to be shelved in the demand orders and the variety change contained in the commodity information.
Specifically, the condition for moving the sorting goods shelves to the shelving positions is that the goods to be shelved with close relevancy among all the goods to be shelved are calculated through a preset relevancy algorithm, the total quantity of relevancy numerical values after calculation is collected, namely, the total quantity of categories of all the goods to be shelved after classification is obtained, the sorting goods shelves with the same quantity as the total quantity of the relevancy numerical values are transferred to the shelving positions by controlling the self-driven robot, and all the goods to be shelved of the same category are temporarily accommodated on the corresponding sorting goods shelves.
It should be understood that after the types of all the articles to be placed on shelves are collected, all the articles to be placed on shelves are divided into several types according to items, the obtained several types are uploaded to an external control system, and the self-driven robot is operated wirelessly by the external control system to transfer the sorting shelves with the same number as the types to the positions of the shelves, so that the articles to be placed on shelves of the same type after classification are placed on one sorting shelf uniformly, and the workload of workers is reduced subsequently.
As a supplement to the above embodiment, the calculation method of the association degrees in all the articles to be shelved is as follows: and dividing the articles to be shelved with similar degrees in all the articles to be shelved into the articles to be shelved of the same category, or setting preset similar threshold values, and dividing the articles to be shelved which are not lower than the similar threshold values in all the articles to be shelved into the articles to be shelved of the same category.
Referring to fig. 3-5, the device for secondarily putting goods on shelf includes an acquisition module 31, an identification module 32, a calculation module 33 and a putting module 34, wherein the acquisition and analysis module 31 is configured to collect the total amount of all the objects to be put on shelf on one or more demand lists and sort out a putting statistical table, the identification module 32 is configured to scan the commodity information of each of the objects to be put on shelf, the commodity information is a product information identifier, the calculation module 33 is configured to calculate the association degree of all the objects to be put on shelf and divide the types of all the objects to be put on shelf of the same type, and when the types of all the objects to be put on shelf are divided, a secondary putting instruction is responded in real time to put all the objects to be put on shelf of the same type on a corresponding sorting shelf;
the racking module 34 includes: the sorting module 341 is configured to identify commodity information of all items to be shelved of the same category, where the commodity information includes a product information identifier and a total number of the same kind of items to be shelved of the batch, the sorting module 341 is further configured to uniformly divide all the items to be shelved of the same category, the climbing module 342 is configured to convey all the items to be shelved of the same category, which are sorted by the sorting module 341, to a same position of the sorting shelf, and the conveying module 343 is configured to convey all the items to be shelved of the same category, which are conveyed by the climbing module 342, to a corresponding position on the sorting shelf.
Specifically, the staff may scan the commodity information on the articles to be shelved through an external scanning device having an acquisition and analysis module 31 and an identification module 32, wherein the acquisition and analysis module 31 is used for scanning one or more demand orders and obtaining a shelving statistical table after processing, and the shelving statistical table is provided with the total number of the articles to be shelved and the classified categories;
the calculation module 33 calculates the categories of all the articles to be placed on the shelves by a preset correlation algorithm.
After the measurement and calculation are finished, the external control system wirelessly controls the self-driven robot to transfer a proper number of sorting goods shelves according to the displayed number of categories, and the goods shelves are stored on the corresponding sorting goods shelves according to the categories.
In the device for secondary shelving of goods shown in fig. 5 (i.e. a sorting shelf meeting the goods storage requirement), a conveying mechanism is disposed at the bottom of the front end of the sorting shelf, and a sorting mechanism 341 is disposed at one side of the conveying mechanism, after the sorting mechanism 341 receives the category instructions of all goods to be shelved sent by the external control system, when the goods to be shelved of the same category are scanned by the sorting module 341 and judged to be stored on the sorting shelf at that location, a worker can place the goods to be shelved on the conveying mechanism and transfer the goods to the climbing module 342 by the conveying mechanism, in this embodiment, the climbing module 342 is formed by a bearing plate 51 on which the goods to be shelved can be placed, a climbing motor 52 disposed at one side of the bearing plate, and a rack 54 with the same length being disposed on the output end of the climbing motor 52, and when the goods to be shelved are conveyed to the bearing plate 51 by the conveying mechanism, the climbing motor 52 climbs to the height position of the corresponding sorting shelf 55 under the control of the external control system, and pushes the goods to the sorting shelf through the conveying module 343 corresponding to the sorting shelf on the bearing plate 51, thereby completing the unified racking process of the goods to be shelved of the same kind.
It should be noted that, in this embodiment, preferably, the same type of articles to be shelved can be placed on the same layer of the sorting shelves or several adjacent layers of shelves 55 according to the type of the articles to be shelved, so that the workload of the staff for searching can be reduced when the subsequent planning processing of the articles is facilitated.
Further, for reducing the tipping of letter sorting goods shelves, can wait to put on the shelf article with heavier weight and place the bottom at letter sorting goods shelves, wait to put on the shelf article with lighter homogeneous type of weight and place the top layer at letter sorting goods shelves to follow-up letter sorting goods shelves's normal use has been guaranteed.
The equipment for secondary shelving of goods is represented in the form of general computing equipment, and the components of the equipment can include but are not limited to: one or more processors or processing units, a system memory, and wires connecting the various system components.
Devices typically include a variety of computer system readable media, which can be any available media that can be accessed by the device and includes both volatile and nonvolatile media, removable and non-removable media.
The storage medium for secondary shelving of goods, the computer readable storage medium of the embodiments of the invention, may adopt any combination of one or more computer readable media, the computer readable medium may be a computer readable signal medium or a computer readable storage medium, the computer readable storage medium may be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof.
A computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave, which may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof, and may be any computer readable medium other than a computer readable storage medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
The working principle and the using process of the invention are as follows: after the invention is installed:
s11, firstly, sorting all the required goods to be shelved on one or more demand orders of the batch, meanwhile, calculating the number of each kind of goods to be shelved, and calculating the total number of the required goods to be shelved;
s12, the sorted content comprises a shelving statistical table, wherein the shelving statistical table at least comprises one article to be shelved, and preferably, in order to facilitate the uniform sorting of all the articles to be shelved by subsequent workers, the shelving statistical table divides the articles to be shelved of the same type in the sorting process, so that the articles to be shelved of the same type can be classified, the subsequent workers can conveniently check the articles, and the subsequent storage of the articles to be shelved of the same type on the same sorting shelf is facilitated;
s13, selecting one article in each article to be placed on shelf, scanning the commodity information of the article, and displaying the product information identification of the article and the total number of the correspondingly scanned articles to be placed on shelf in the batch of the articles to be placed on shelf in the scanning process;
it should be noted that the total number of the goods to be shelved in the batch and the number of the goods to be shelved in each type are summarized through the previous operation step, so that when the commodity information is scanned, the number of the goods to be shelved in the batch is directly displayed, and the comparison and the correction of the brightest goods to be shelved on the subsequent shelving statistical table are facilitated.
S14, when the sum of all the above-mentioned objects to be shelved and the quantity of each object to be shelved are summarized, the staff compares the obtained numerical value with the total quantity of each type of objects to be shelved on the shelving statistical table of the city in the prior statistics, if the comparison result is consistent, the compared objects to be shelved are in accordance with the shelving requirement, and then secondary shelving of the objects can be completed;
further, if the comparison result is inconsistent, whether the comparison article is an article to be shelved which is required on the demand order can be checked, if the article to be shelved does not exist on the demand order, the article to be shelved does not need to be shelved, and similarly, if the comparison result is different from the numerical value appearing on the demand order, the article to be shelved of the type is increased or decreased according to the statistical listing table which is counted on the demand order.
S15, measuring and calculating the relevance between all the articles to be placed on the shelf through a preset relevance algorithm, uniformly planning all the articles to be placed on the shelf with similar measurement and calculation results, and uploading the measured and calculated number of classification items to an external control system;
s16, transferring the sorting goods shelves with the same number as the measured and calculated sorted items to the upper shelf position through a self-driven robot in wireless control connection with external control equipment, and then transferring the same type of goods to be placed on the shelves one by one to the corresponding sorting goods shelves;
in addition, in the subsequent transferring process to the sorting goods shelf, the same type of goods to be placed on the same layer or adjacent multilayer placing racks of the sorting goods shelf can be placed according to the product information identification of the goods to be placed on the goods, so that the following staff can timely and accurately place the goods to be placed on the shelves in a unified planning mode.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. The secondary goods shelving method is characterized by comprising the following steps:
collecting one or more demand orders;
calculating the total demand of all the articles to be placed on the shelf on one or more demand orders to form a statistical table for placing on the shelf, wherein the statistical table for placing on the shelf at least comprises one article to be placed on the shelf;
identifying commodity information of all the articles to be shelved, wherein the commodity information at least comprises a product information identifier and the total number of the articles to be shelved of the same kind in the batch;
comparing the total number of the same type of articles to be shelved with the shelving statistical table, wherein if the total number of the same type of articles to be shelved is consistent with the comparison structure of the shelving statistical table, it indicates that the articles to be shelved are shelved;
and meanwhile, responding to a secondary racking instruction, moving a sorting rack to a racking position, and re-sorting all the articles to be racked according to the demand quantity of the articles to be racked on one or more demand orders.
2. The method for racking goods twice as claimed in claim 1 wherein said moving the sorting rack to a racking position comprises:
calculating the articles to be shelved with similar relevance in all the articles to be shelved by a preset relevance algorithm;
collecting the calculated total quantity of the correlation degree values, namely obtaining the classified total quantity of all the articles to be placed on the shelf;
and transferring the sorting goods shelves with the number consistent with the total quantity of the correlation numerical values to the racking position by controlling a self-driven robot, wherein all the goods to be racking of the same category are temporarily accommodated on the corresponding sorting goods shelves.
3. The secondary goods shelving method of claim 2, wherein the correlation degree of all the goods to be shelved is calculated by the following steps:
dividing the articles to be shelved with the similar degrees in all the articles to be shelved into the articles to be shelved of the same category;
or, setting preset similar threshold values, and dividing the articles to be shelved which are not lower than the similar threshold values in all the articles to be shelved into the articles to be shelved of the same category.
4. The method of secondary racking of cargo according to claim 2 wherein said sorting racks are selected to be fully loaded with an appropriate volume corresponding to the total number of all said items to be racked of said same category.
5. The secondary goods shelving method of claim 1, wherein when all the goods to be shelved in the same category are shelved on the corresponding sorting shelves, the goods to be shelved in the same category can be uniformly placed according to the product information identifier.
6. The secondary racking method of claim 1 wherein said sorting rack is configured such that of all of said items to be racked of said same category, the heavier of said items to be racked is located below said sorting rack and the lighter of said items to be racked is located above said sorting rack.
7. The device for secondary goods shelving is characterized by comprising an acquisition and analysis module, an identification module, a calculation module and a shelving module;
the collecting and analyzing module is used for collecting the total amount of all the objects to be placed on the shelves on the one or more demand lists and sorting out the statistical table for placing the shelves;
the identification module is used for scanning commodity information of various articles to be placed on a shelf, wherein the commodity information is the product information identifier;
the calculation module is used for calculating the relevance of all the articles to be shelved and dividing the types of all the articles to be shelved of the same category;
and after the types of the articles to be placed on the shelves are divided, immediately responding to a secondary placing instruction, and placing all the articles to be placed on the shelves of the same type on the corresponding sorting shelf.
8. The secondary racking device of cargo of claim 7 wherein said racking module comprises: the device comprises a sorting module, a climbing module and a conveying module;
the sorting module is used for identifying the commodity information of all the to-be-shelved items of the same category, wherein the commodity information comprises the product information identification and the total number of the to-be-shelved items of the same kind in the batch;
the sorting module is also used for uniformly dividing all the articles to be placed on shelves in the same type;
the climbing module is used for conveying all the articles to be placed on the shelves of the same type sorted by the sorting module to the same position of the sorting shelf;
the conveying module is used for conveying all the articles to be placed on shelves of the same type conveyed by the climbing module to corresponding positions on the sorting shelves.
9. The equipment for secondary shelving of goods is characterized in that,
the method comprises the following steps: one or more processors;
wherein each processor is used for storing at least one program;
when at least one of the programs is executed by one or more of the processors, the one or more processors are caused to implement the goods secondary shelving method as claimed in any one of claims 1 to 6.
10. Storage medium for the secondary shelving of goods, characterized in that at least one of said programs of the computer is stored thereon, which at least one program, when executed by one or more processors, implements a goods shelving method according to any one of claims 1 to 6.
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