CN113663931B - Article sorting method and device - Google Patents
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- CN113663931B CN113663931B CN202110876259.2A CN202110876259A CN113663931B CN 113663931 B CN113663931 B CN 113663931B CN 202110876259 A CN202110876259 A CN 202110876259A CN 113663931 B CN113663931 B CN 113663931B
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- 239000002609 medium Substances 0.000 description 12
- 238000010586 diagram Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/3412—Sorting according to other particular properties according to a code applied to the object which indicates a property of the object, e.g. quality class, contents or incorrect indication
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/04—Sorting according to size
- B07C5/08—Sorting according to size measured electrically or electronically
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
- B07C5/362—Separating or distributor mechanisms
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/38—Collecting or arranging articles in groups
Abstract
The embodiment of the application discloses an article sorting method and device. According to the technical scheme, the target objects are classified for the first time according to the destination information in the target object information and are classified to the belonged categories, the target objects in the same category are classified into the corresponding categories again respectively according to the type information, the special requirements, the size and the shape of the target objects, the target objects are matched with the appropriate storage cabinets according to the final categories of the target objects after the objects are classified for two times, the target objects are stored in the matched storage cabinets, the whole sorting process is automated, manual sorting is not relied on, the sorting efficiency is greatly improved, the target objects are classified in a refined mode for two times, the sorting accuracy can be improved, and meanwhile, the target objects can be conveniently taken out of the warehouse and can be conveniently traced back.
Description
Technical Field
The embodiment of the application relates to the technical field of warehousing management, in particular to a physical sorting method, a physical sorting device, physical sorting equipment and a storage medium.
Background
With the explosion of the e-commerce industry in recent years, the development of the logistics industry is driven, and higher requirements are put forward for the logistics industry. The traditional logistics industry depends on manpower, is slow, and cannot meet the requirements of a large number of current e-commerce transactions.
The article sorting generally refers to the operation of stacking articles in different categories according to the sequence of article installation and article loading and unloading, and is the preparatory work for perfecting and supporting delivery. In the current storage management, article sorting mainly depends on manual operation, a large amount of manpower is consumed, the efficiency is low, sorting errors are easy, sorting can be performed only on the basis of the characteristics of one article, and the sorting precision is low.
Disclosure of Invention
The embodiment of the application provides an article sorting method, device, equipment and storage medium, so that articles can be automatically and quickly sorted, and the sorting accuracy is improved.
In a first aspect, an embodiment of the present application provides an article sorting method, including:
acquiring article information of a target article, wherein the article information comprises destination information, category information, special requirements and importance levels;
classifying the target object according to the destination information of the target object, and dividing the target object into the category to which the target object belongs;
carrying out image recognition on target objects belonging to the same category to obtain image information of the target objects, and obtaining the size of the target objects according to the image information;
performing secondary classification on the target articles according to the type information, special requirements and sizes of the target articles, and respectively classifying the target articles of the same category into corresponding categories;
and searching the matched storage cabinet according to the category of the target item, and storing the target item into the matched storage cabinet.
Further, the acquiring item information of the target item includes:
and reading the electronic tag on the target object to acquire the object information of the target object.
Further, the secondary classification of the target articles according to the category information, the special requirement and the size of the target articles, and the respective classification of the target articles of the same category into corresponding categories includes:
judging whether the storage requirement of the target object is recorded by the characteristic requirement;
when the storage requirement of the target object is recorded in the special requirement, the target object is classified into a category corresponding to the storage requirement;
and when the storage requirement of the target object is not recorded in the special requirement, secondarily classifying the target object according to the type information and the size, and respectively classifying the target objects of the same category into corresponding categories.
Further, the retrieving the matched storage cabinet according to the category of the target item and storing the target item into the matched storage cabinet includes:
acquiring a category code corresponding to the category to which the target object belongs, wherein the category code is used for indicating different storage areas;
acquiring the idle condition of a storage area corresponding to the category code of the target object, and distributing matched storage cabinets according to a preset storage rule;
and storing the target item into the matched storage cabinet.
Further, the method also comprises the following steps:
acquiring storage time information of the target object;
and binding the storage time information and the category code of the target object with the object information.
Further, the storage cabinets distributed and matched according to the preset storage rule comprise:
when the storage area is free currently, distributing the target articles to the matched storage cabinets in the storage area according to a preset storage rule;
and when the storage area is not idle currently, allocating the target article storage queue code to enable the target article to be added into a warehousing queue for queuing, and when the storage area is idle and the target article is positioned at the head in the warehousing queue, allocating the target article to a storage cabinet matched with the storage area according to a preset storage rule.
In a second aspect, an embodiment of the present application provides an article sorting apparatus, including:
an article information acquisition module: the system comprises a data processing unit, a data processing unit and a data processing unit, wherein the data processing unit is used for acquiring article information of a target article, and the article information comprises destination information, category information, special requirements and importance levels;
a first article sorting module: the system comprises a target article classification module, a target article classification module and a target article classification module, wherein the target article classification module is used for classifying the target article according to destination information of the target article and classifying the target article into a category;
an article image acquisition module: the system comprises a display device, a display device and a control device, wherein the display device is used for carrying out image recognition on target objects belonging to the same category so as to obtain image information of the target objects, and obtaining the size of the target objects according to the image information;
a second article sorting module: the system is used for secondarily classifying the target articles according to the type information, the special requirements and the sizes of the target articles and respectively classifying the target articles of the same category into corresponding categories;
an item storage matching module: the storage cabinet is used for retrieving the matched storage cabinet according to the category of the target item and storing the target item into the matched storage cabinet.
Further, in the item information obtaining module, the obtaining item information of the target item includes:
and reading the electronic tag on the target object to acquire the object information of the target object.
Further, in the article second classification module, the performing secondary classification on the target articles according to the category information, the special requirement and the size of the target articles, and dividing the target articles of the same category into corresponding categories respectively includes:
judging whether the storage requirement of the target object is recorded by the characteristic requirement;
when the storage requirement of the target object is described in the special requirement, the target object is classified into a category corresponding to the storage requirement;
and when the storage requirement of the target object is not recorded in the special requirement, secondarily classifying the target object according to the type information and the size, and respectively classifying the target objects of the same category into corresponding categories.
Further, in the second article sorting module, when the storage request of the target article is not recorded in the special request, the secondary sorting of the target article according to the category information and the size includes:
when the storage requirement of the target object is not recorded in the special requirement, acquiring the type storage ID of the target object according to the type information;
and acquiring a size corresponding range of the target object according to the size, selecting a corresponding size storage ID from the category storage IDs according to the size corresponding range, and performing secondary classification on the target object according to the size storage ID.
Further, in the item storage matching module, the retrieving the matched storage cabinet according to the category of the target item, and storing the target item into the matched storage cabinet include:
acquiring a category code corresponding to the category to which the target object belongs, wherein the category code is used for indicating different storage areas;
acquiring the idle condition of a storage area corresponding to the category code of the target object, and distributing matched storage cabinets according to a preset storage rule;
and storing the target item into the matched storage cabinet.
Further, the method also comprises the following steps:
a storage time acquisition module: the storage time information of the target object is acquired;
an article information binding module: and the storage time information and the category code of the target item are bound with the item information.
Further, in the item storage matching module, the storage cabinets distributed and matched according to the preset storage rule include:
when the storage area is free currently, distributing the target articles to the matched storage cabinets in the storage area according to a preset storage rule;
and when the storage area is not idle currently, allocating the target article storage queue code to enable the target article to be added into a warehousing queue for queuing, and when the storage area is idle and the target article is positioned at the head in the warehousing queue, allocating the target article to a storage cabinet matched with the storage area according to a preset storage rule.
In a third aspect, an embodiment of the present application provides a computer device, including: a memory and one or more processors;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method of sorting articles as described in the first aspect.
In a fourth aspect, embodiments of the present application provide a storage medium containing computer-executable instructions for performing the method of sorting articles according to the first aspect when executed by a computer processor.
According to the embodiment of the application, through acquiring the article information of the target article, the target article is classified for the first time according to the destination information in the target article information, the classification is carried out to the belonged categories, the target article is classified for the second time according to the type information, the special requirements, the size and the shape of the target article, the target article in the same category is classified for the second time, the article is classified for the second time, the suitable storage cabinet is matched for the final category of the target article, the target article is stored to be matched in the storage cabinet, the whole sorting process is carried out automatically, the sorting process does not depend on manual sorting, the sorting efficiency is greatly improved, the target article is classified for the second time, the sorting accuracy can be improved, and meanwhile, the target article can be conveniently put out of a warehouse after being put in a warehouse, and the processing such as tracing is carried out.
Drawings
Fig. 1 is a flowchart of an article sorting method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a sorting device according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an article sorting apparatus according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, specific embodiments of the present application are described in detail below with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some but not all of the relevant portions of the present application are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, subprograms, and the like.
The embodiment of the application provides an article sorting method, device, equipment and storage medium. According to the embodiment of the application, through acquiring the article information of the target article, the target article is classified for the first time according to the destination information in the target article information, the classification is carried out to the belonged categories, the target article is classified for the second time according to the type information, the special requirements, the size and the shape of the target article, the target article in the same category is classified for the second time, the article is classified for the second time, the suitable storage cabinet is matched for the final category of the target article, the target article is stored to be matched in the storage cabinet, the whole sorting process is carried out automatically, the sorting process does not depend on manual sorting, the sorting efficiency is greatly improved, the target article is classified for the second time, the sorting accuracy can be improved, and meanwhile, the target article can be conveniently put out of a warehouse after being put in a warehouse, and the processing such as tracing is carried out. .
The following are detailed below.
Fig. 1 is a flowchart of an article sorting method according to an embodiment of the present application, which may be implemented by an article sorting apparatus, which may be implemented by hardware and/or software and integrated in a computer device.
The following description will be given taking as an example an article sorting method performed by the article sorting apparatus. Referring to fig. 1, the article sorting method includes:
101: and acquiring the object information of the target object.
In the embodiment, the target article is represented as an article which needs to be sorted and warehoused. As an application scenario, for example, in logistics storage, a target object is, for example, an express parcel to be sorted and put in storage at an express station. The article information is used to describe information such as the attribute and type of the target article in the embodiment, and in the embodiment, the article information includes destination information, category information, special requirements, and importance level. The destination information is a final address of the target object, the type information is a corresponding type of the target object, such as clothing, food, fragile objects, and the like, the specific type division can be defined according to the storage point, for example, the storage point divides the object into two types, i.e., fragile objects and non-fragile objects, and if the type corresponding to the target object is identified as clothing, the type information of the target object is defined as non-fragile objects. For another example, the warehousing point may also be directly defined according to the original detailed type of the target item, that is, for example, if the type corresponding to the target item is clothing, the type information of the target item is defined as clothing, and if the type corresponding to the target item is food, the type information of the target item is defined as food. The special requirement is used for recording whether the target object has special requirements and special requirement specific items. For example, some medical drugs need to be transported in a refrigerated manner, which is a special requirement of the medical product. The common articles have no special requirements, and the information record with the special requirements is correspondingly absent. The importance rating, in embodiments, generally corresponds to a shipping priority for the target item, indicating that the target item requires prior shipping, prior distribution, and the like.
Specifically, the acquiring of the article information of the target article includes: and reading the electronic tag on the target object to acquire the object information of the target object.
The electronic tag may be a widely used RFID electronic tag, and the electronic tag corresponds to a corresponding identification code, usually a barcode, and the barcode may be read by a reader to obtain the article information of the target article, so as to obtain the article information correspondingly bound to the barcode. The reader can be a handheld reader, a desktop reader or the like.
102: and classifying the target object according to the destination information of the target object, and dividing the target object into the belonged categories.
In an embodiment, the target item needs to be classified multiple times. The target item is first sorted based on its destination information. For example, the embodiment is applied to an express point, and packages of different provinces are respectively divided into different storage areas, and then are classified according to the different storage areas or the different destination provinces. For example, if the destination information of one article corresponds to class a, the article is classified into class a, and if the destination information of another article corresponds to class B, the article is classified into class B.
103: and carrying out image recognition on target objects belonging to the same category to obtain image information of the target objects, and obtaining the size of the target objects according to the image information.
After the target object is classified for the first time based on the destination information, the image recognition is respectively carried out on the target objects in different categories, so that the image information of the target object is obtained. The image recognition technology for obtaining the image information of the target object can be performed through the existing image recognition algorithm, for example, the image of the target object is collected through a high-definition camera, the image is subjected to algorithm processing to obtain the outline edge of the target object, then the shape of the target object is obtained, the size of the target object is obtained, and the like.
104: and performing secondary classification on the target articles according to the type information, special requirements and sizes of the target articles, and respectively classifying the target articles of the same category into corresponding categories.
In the foregoing, the embodiment performs the first classification according to the destination information of the target object, and divides the target object into the corresponding categories according to the final addressee. And then, image information is acquired, and the size, type information and the like of the target object are acquired based on the image information to further sort the target object, so that the target object is more finely divided, the sorting is more accurate, and the subsequent tracing and ex-warehouse are facilitated.
In an embodiment, specifically, whether the feature requirement records a storage requirement of the target item is judged; when the storage requirement of the target object is described in the special requirement, the target object is classified into a category corresponding to the storage requirement; for example, if the storage security of the target item is recorded as cold storage, the target item is classified into a cold storage corresponding category. And when the storage requirement of the target object is not recorded in the special requirement, secondarily classifying the target object according to the type information and the size, and respectively classifying the target objects of the same category into corresponding categories. That is, in the embodiment, the secondary classification of the target object is based on special requirements or based on category information and size.
Further preferably, when the storage request of the target item is not described in the special request, the secondarily classifying the target item according to the type information and the size includes: when the storage requirement of the target object is not recorded in the special requirement, acquiring the type storage ID of the target object according to the type information; and acquiring a size corresponding range of the target object according to the size, selecting a corresponding size storage ID from the category storage IDs according to the size corresponding range, and performing secondary classification on the target object according to the size storage ID.
When the storage request of the target object is not described in the special request, the target object is indicated to have no special request, and therefore, the second-time classification is performed according to the type information and the size of the target object. Firstly, category information is obtained, and based on the category information, a category storage ID is obtained, in the embodiment, the category storage ID is codes used for representing different storage areas distributed to the articles corresponding to different category information, for example, 20 storage areas are provided in the warehousing point, each storage area corresponds to one category information, or most of the storage areas correspond to one category information respectively, the rest storage areas are used as supplementary storage areas, and when the storage areas with one category information are full, the supplementary storage areas can be used for temporary storage. Codes of 001, 002, 003 … … 019, 020 are set as kind storage IDs for each storage area. And after the category storage ID is acquired, acquiring the size corresponding range of the target article according to the size, selecting the corresponding size storage ID from the category storage ID according to the size corresponding range, and secondarily classifying the target article according to the size storage ID. With reference to the above example, in 20 storage areas, corresponding to each storage area, the storage area is further subdivided into storage IDs of various sizes for storage intervals of different sizes, for example, a storage area corresponding to 001 is divided into 10 storage areas of different sizes, that is, 10 storage IDs of different sizes are allocated. The size storage ID of each storage area is different from the size storage IDs of other storage areas, so that the size storage IDs are unique and convenient to find.
105: and searching the matched storage cabinet according to the category of the target item, and storing the target item into the matched storage cabinet.
In an embodiment, the storage cabinet is a physical cabinet or a set storage area for temporarily storing the target item. And after the target articles are reasonably classified, storing the target articles in the matched storage cabinets for storage and custody. Specifically, a category code corresponding to a category to which the target object belongs is obtained, and the category code is used for indicating different storage areas; acquiring the idle condition of a storage area corresponding to the category code of the target object, and distributing matched storage cabinets according to a preset storage rule; and storing the target item into the matched storage cabinet.
The category code is a final size storage ID obtained after classifying for two subdivisions. For example, a code a is obtained in the first classification, which indicates that the target object is divided into an a storage area according to the destination information, the a storage area is further divided into 10 storage points, each storage point has a code, and the codes are 001 and 002 … … in turn, the target object is obtained in the second classification, the corresponding type storage ID is 002, the storage cells are divided into 3 types according to different sizes at 002 storage points, the large size storage code is a, the medium size storage code is b, the small size storage code is c, and if the size of the target object is in the middle specification range, the size storage ID of the target object is b, and the complete type code of the target object is a002b.
And then detecting whether the A002b has a free storage cabinet or not, and storing according to a preset storage rule. Specifically, when the storage area is free currently, the target item is allocated to the storage cabinet matched with the storage area according to a preset storage rule. The preset storage rule includes the use sequence of the storage cabinets when there are a plurality of free and matched storage cabinets, for example, the storage cabinets are stored from top to bottom and from left to right sequentially. And when the storage area is not idle currently, allocating the target article storage queue code to enable the target article to be added into a warehousing queue for queuing, and when the storage area is idle and the target article is positioned at the head in the warehousing queue, allocating the target article to a storage cabinet matched with the storage area according to a preset storage rule.
Embodiments further comprise obtaining storage time information for the target item; and binding the storage time information and the category code of the target object with the object information. And the storage time information of the target object is recorded, so that internal tracing and retrieval are facilitated.
As shown in fig. 2, an embodiment of the present application further provides an article sorting apparatus, which includes an article information obtaining module 201, an article first sorting module 202, an article image obtaining module 203, an article second sorting module 204, and an article storage matching module 205. The article information acquiring module 201 is configured to acquire article information of a target article, where the article information includes destination information, category information, special requirements, and importance level; a first article classification module 202, configured to classify the target article according to the destination information of the target article, and classify the target article into a category to which the target article belongs; an article image obtaining module 203, configured to perform image recognition on target articles belonging to the same category to obtain image information of the target articles, and obtain a size of the target articles according to the image information; the article second classification module 204 is configured to perform secondary classification on the target articles according to the category information, the special requirements, and the size of the target articles, and divide the target articles of the same category into corresponding categories respectively; and the item storage matching module 205 is configured to retrieve a matched storage cabinet according to the category of the target item, and store the target item in the matched storage cabinet.
Preferably, in the item information acquiring module, the acquiring item information of the target item includes: and reading the electronic tag on the target object to acquire the object information of the target object.
As a preferred embodiment, in the second article classification module, the performing secondary classification on the target articles according to the category information, the special requirement, and the size of the target articles, and classifying the target articles of the same category into corresponding categories respectively includes: judging whether the storage requirement of the target object is recorded by the characteristic requirement; when the storage requirement of the target object is described in the special requirement, the target object is classified into a category corresponding to the storage requirement; and when the storage requirement of the target object is not recorded in the special requirement, secondarily classifying the target object according to the type information and the size, and respectively classifying the target objects of the same category into corresponding categories.
Further, in the second article sorting module, when the storage request of the target article is not described in the special request, the secondary sorting of the target article according to the category information and the size includes: when the storage requirement of the target object is not recorded in the special requirement, acquiring the type storage ID of the target object according to the type information; and acquiring a size corresponding range of the target object according to the size, selecting a corresponding size storage ID from the category storage IDs according to the size corresponding range, and secondarily classifying the target object according to the size storage ID.
In the item storage matching module, the retrieving the matched storage cabinets according to the categories of the target items, and storing the target items in the matched storage cabinets includes: acquiring a category code corresponding to a category to which the target object belongs, wherein the category code is used for indicating different storage areas; acquiring the idle condition of a storage area corresponding to the category code of the target object, and distributing matched storage cabinets according to a preset storage rule; and storing the target item into the matched storage cabinet.
The step of distributing the matched storage cabinets according to the preset storage rule comprises the step of distributing the matched storage cabinets in the storage area according to the preset storage rule when the storage area is free currently; and when the storage area is not idle currently, allocating the target article storage queue code to enable the target article to be added into a warehousing queue for queuing, and when the storage area is idle and the target article is positioned at the head in the warehousing queue, allocating the target article to a storage cabinet matched with the storage area according to a preset storage rule.
Embodiments may also include a storage time acquisition module: the storage time information of the target object is acquired; an article information binding module: and the storage time information and the category code of the target item are bound with the item information.
As shown in fig. 3, an embodiment of the present application further provides an article sorting apparatus, including: a memory 301 and one or more processors 302; the memory 301 is used for storing one or more programs; when executed by the one or more processors 302, the one or more programs cause the one or more processors to implement a method for routing internet of things based data transmission as described herein.
Embodiments of the present application also provide a storage medium containing computer executable instructions, which when executed by a computer processor, are used to perform an article sorting method as provided in the above embodiments, the article sorting method including: acquiring article information of a target article, wherein the article information comprises destination information, category information, special requirements and importance levels; classifying the target object according to the destination information of the target object, and dividing the target object into the category to which the target object belongs; carrying out image recognition on target objects belonging to the same category to obtain image information of the target objects, and obtaining the size of the target objects according to the image information; performing secondary classification on the target articles according to the type information, special requirements, size and shape of the target articles, and dividing the target articles of the same category into corresponding categories respectively; and searching the matched storage cabinet according to the category of the target item, and storing the target item into the matched storage cabinet.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage media" may include two or more storage media that may reside in different locations, such as in different computer systems that are connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided in the embodiments of the present application contains computer-executable instructions, and the computer-executable instructions are not limited to the article sorting method described above, and may also perform related operations in the article sorting method provided in any embodiment of the present application.
The article sorting device, the apparatus and the storage medium provided in the above embodiments may perform the article sorting method provided in any embodiment of the present application, and the technical details not described in the above embodiments may be referred to the article sorting method provided in any embodiment of the present application.
The foregoing is considered as illustrative of the preferred embodiments of the invention and the technical principles employed. The present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.
Claims (8)
1. A method of sorting articles, comprising:
acquiring article information of a target article, wherein the article information comprises destination information, category information, special requirements and importance levels;
classifying the target object according to the destination information of the target object, and dividing the target object into the category to which the target object belongs;
carrying out image recognition on target objects belonging to the same category to obtain image information of the target objects, and obtaining the size of the target objects according to the image information;
performing secondary classification on the target articles according to the type information, special requirements and sizes of the target articles, and dividing the target articles of the same category into corresponding categories respectively;
retrieving the matched storage cabinet according to the category of the target item, and storing the target item into the matched storage cabinet;
the retrieving the matched storage cabinets according to the categories of the target items and storing the target items into the matched storage cabinets comprises:
acquiring a category code corresponding to the category to which the target object belongs, wherein the category code is used for indicating different storage areas;
acquiring the idle condition of a storage area corresponding to the category code of the target object, and distributing matched storage cabinets according to a preset storage rule;
storing the target item into the matched storage cabinet;
the storage cabinets distributed and matched according to the preset storage rule comprise:
when the storage area is free currently, distributing the target articles to the matched storage cabinets in the storage area according to a preset storage rule;
and when the storage area is not idle currently, allocating the target article storage queue code to enable the target article to be added into a warehousing queue for queuing, and when the storage area is idle and the target article is positioned at the head in the warehousing queue, allocating the target article to a storage cabinet matched with the storage area according to a preset storage rule.
2. The article sorting method according to claim 1, wherein the acquiring of the article information of the target article includes:
and reading the electronic tag on the target object to acquire the object information of the target object.
3. The article sorting method according to claim 1, wherein the secondarily classifying the target articles according to the category information, the special requirement, and the size of the target articles, and classifying the target articles of the same category into corresponding categories respectively comprises:
judging whether the characteristic requirement records the storage requirement of the target article;
when the storage requirement of the target object is described in the special requirement, the target object is classified into a category corresponding to the storage requirement;
and when the storage requirement of the target object is not recorded in the special requirement, secondarily classifying the target object according to the type information and the size, and respectively classifying the target objects of the same category into corresponding categories.
4. The article sorting method according to claim 3, wherein, when the storage request of the target article is not described in the special request, secondarily sorting the target article according to the category information and the size includes:
when the storage requirement of the target object is not recorded in the special requirement, acquiring the type storage ID of the target object according to the type information;
and acquiring a size corresponding range of the target object according to the size, selecting a corresponding size storage ID from the category storage IDs according to the size corresponding range, and performing secondary classification on the target object according to the size storage ID.
5. The method of sorting articles as claimed in claim 1, further comprising:
acquiring storage time information of the target object;
and binding the storage time information and the category code of the target object with the object information.
6. An article sorting apparatus, comprising:
an article information acquisition module: the system comprises a data processing unit, a data processing unit and a data processing unit, wherein the data processing unit is used for acquiring article information of a target article, and the article information comprises destination information, category information, special requirements and importance levels;
a first article sorting module: the system comprises a target article classification module, a target article classification module and a target article classification module, wherein the target article classification module is used for classifying the target article according to destination information of the target article and classifying the target article into a category;
an article image acquisition module: the system comprises a display device, a display device and a control device, wherein the display device is used for carrying out image recognition on target objects belonging to the same category so as to obtain image information of the target objects, and obtaining the size of the target objects according to the image information;
a second article sorting module: the system is used for secondarily classifying the target articles according to the type information, the special requirements and the sizes of the target articles and respectively classifying the target articles of the same category into corresponding categories;
an item storage matching module: the matched storage cabinets are searched according to the categories of the target items, and the target items are stored in the matched storage cabinets;
the article storage matching module is specifically configured to:
acquiring a category code corresponding to a category to which the target object belongs, wherein the category code is used for indicating different storage areas;
acquiring the idle condition of a storage area corresponding to the category code of the target object, and distributing matched storage cabinets according to a preset storage rule;
storing the target item into the matched storage cabinet;
the item storage matching module is further configured to:
when the storage area is free currently, distributing the target articles to the matched storage cabinets in the storage area according to a preset storage rule;
and when the storage area is not idle currently, allocating the target article storage queue code to enable the target article to be added into a warehousing queue for queuing, and when the storage area is idle and the target article is located at the head of the warehousing queue, allocating the target article to a storage cabinet matched with the storage area according to a preset storage rule.
7. A computer device, comprising: a memory and one or more processors;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method of sorting articles as claimed in any one of claims 1 to 5.
8. A storage medium containing computer-executable instructions for performing the method of sorting articles according to any one of claims 1-5 when executed by a computer processor.
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| CN114565343A (en) * | 2022-03-05 | 2022-05-31 | 合肥仓小强供应链管理有限公司 | Intelligent logistics storage system convenient for classifying articles |
| CN114897960A (en) * | 2022-05-12 | 2022-08-12 | 浙江优纳特科学仪器有限公司 | Item classification storage method, system and storage medium |
| CN115805194B (en) * | 2022-05-25 | 2024-11-12 | 宁德时代新能源科技股份有限公司 | Battery cell sorting method |
| CN115156090B (en) * | 2022-05-31 | 2024-04-05 | 北京旷视机器人技术有限公司 | Material box distribution method, electronic equipment and storage medium |
| CN118428859B (en) * | 2024-07-03 | 2024-10-15 | 刘燕敏 | Method, equipment and system for field material management |
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