CN113689156A

CN113689156A - Warehouse checking method and device, computer readable storage medium and electronic equipment

Info

Publication number: CN113689156A
Application number: CN202010420080.1A
Authority: CN
Inventors: 王琳琳
Original assignee: Beijing Jingdong Century Trading Co Ltd; Beijing Wodong Tianjun Information Technology Co Ltd
Current assignee: Beijing Jingdong Century Trading Co Ltd; Beijing Wodong Tianjun Information Technology Co Ltd
Priority date: 2020-05-18
Filing date: 2020-05-18
Publication date: 2021-11-23

Abstract

The disclosure relates to the technical field of logistics, and provides a warehouse inventory method, a warehouse inventory device, a computer-readable storage medium and electronic equipment, wherein the method comprises the following steps: receiving an article type and article information corresponding to the article type sent by data acquisition equipment, and combining the article information according to the article type to generate an inventory list; comparing the inventory list with a stock list to determine an abnormal list; and carrying out approval processing on the abnormal list, and executing a first target operation according to an approval result. The warehouse checking method enables the warehouse checking result to be more accurate, and improves the warehouse checking efficiency.

Description

Warehouse checking method and device, computer readable storage medium and electronic equipment

Technical Field

The present disclosure relates to the field of logistics technologies, and in particular, to a warehouse inventory method, a warehouse inventory device, a computer-readable storage medium, and an electronic device.

Background

With the development of logistics technology, the demand of modern society on logistics efficiency is higher and higher, wherein, the rapid and accurate warehouse checking is an indispensable link in improving the logistics efficiency.

The existing warehouse inventory adopts a radio frequency identification technology (RFID), a specific target is identified and relevant data is read and written through a radio signal, however, the RFID technology has high cost and is greatly influenced by articles containing metal or moisture or the environment, so that the inventory is not accurate.

In view of the above, there is a need in the art to develop a new warehouse inventory method and apparatus.

It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.

Disclosure of Invention

The present disclosure is directed to a warehouse inventory method, a warehouse inventory device, a computer-readable storage medium, and an electronic device, so as to improve the efficiency of warehouse inventory at least to a certain extent.

Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.

According to one aspect of the present disclosure, there is provided a warehouse inventory method, including: receiving an article type and article information corresponding to the article type sent by data acquisition equipment, and combining the article information according to the article type to generate an inventory list; comparing the inventory list with a stock list to determine an abnormal list; and carrying out approval processing on the abnormal list, and executing a first target operation according to an approval result.

In some exemplary embodiments of the present disclosure, before receiving the item type and the item information transmitted by the data collecting apparatus, the method further comprises: and sending a data acquisition instruction to the data acquisition equipment so as to enable the data acquisition equipment to acquire the article information corresponding to the article type, wherein the data acquisition instruction comprises the article type.

In some exemplary embodiments of the present disclosure, the item type includes a plurality of item sub-categories; merging the item information according to the item type to generate an inventory, comprising: classifying the article information according to the article subclasses, and merging the article information corresponding to the same article subclass to form a sub-inventory list corresponding to each article subclass; and generating the inventory list according to the sub-inventory list corresponding to each article subclass.

In some exemplary embodiments of the present disclosure, the exception sheet includes one or more exception data pairs; the abnormal sheet is approved, and a first target operation is executed according to the approval result, wherein the method comprises the following steps: judging whether the abnormal data pair meets a first preset condition or not; if yes, updating the inventory list according to the inventory list; if not, judging whether the abnormal data pair meets a second preset condition or not, and executing a second target operation according to a judgment result.

In some exemplary embodiments of the present disclosure, the performing the second target operation according to the determination result includes: when the abnormal data pair meets the second preset condition, executing a duplication operation on the corresponding target article type according to the abnormal data pair, and executing a third target operation according to a duplication result; and when the abnormal data pair does not meet the second preset condition, reserving the inventory list.

In some exemplary embodiments of the present disclosure, performing a duplication operation on the corresponding target item type according to the abnormal data includes: and sending the type of the target object to the data acquisition equipment so that the data acquisition equipment acquires the target object information corresponding to the type of the target object.

In some exemplary embodiments of the present disclosure, the third target operation is performed according to the result of the copy, including: receiving target article information sent by the data acquisition equipment, and generating a reply list according to the target article information and the type of the target article; acquiring target inventory information corresponding to the type of the target object, and comparing the target object information with the target inventory information to determine a target abnormal bill; and carrying out approval processing on the target exception list, and executing a first target operation according to an approval result.

According to an aspect of the present disclosure, there is provided a warehouse inventory device, including: the generating and checking list module is used for receiving the article type sent by the data acquisition equipment and article information corresponding to the article type, and combining the article information according to the article type to generate a checking list; the abnormal order determining module is used for comparing the inventory order with the inventory order to determine an abnormal order; and the examination and approval processing module is used for examining and approving the abnormal sheet and executing a first target operation according to the examination and approval result.

According to an aspect of the present disclosure, there is provided a computer readable medium, on which a computer program is stored, which when executed by a processor, implements the warehouse inventory method as described in the above embodiments.

According to an aspect of the present disclosure, there is provided an electronic device including: one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the warehouse inventory method as described in the above embodiments.

As can be seen from the foregoing technical solutions, the warehouse inventory method and apparatus, the computer-readable storage medium, and the electronic device in the exemplary embodiments of the present disclosure have at least the following advantages and positive effects:

according to the warehouse inventory method in the exemplary embodiment of the disclosure, firstly, the article types and the article information sent by the data acquisition equipment are received, and the article information is merged according to the article types to generate an inventory list; then comparing the inventory list with the inventory list to determine an abnormal list; and finally, carrying out examination and approval processing on the abnormal list, and executing a first target operation according to an examination and approval result. According to the warehouse inventory method, on one hand, the inventory list is generated by receiving the article types and the article information sent by the data acquisition equipment, so that the primary inventory of articles in the warehouse is realized, the warehouse inventory task is issued, and the system loss is reduced; on the other hand, by carrying out approval processing on the abnormal list, the influence on the article information caused by real-time change of the warehouse is avoided, the warehouse checking result is more accurate, and the warehouse checking efficiency is improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.

Fig. 1 schematically illustrates a flow diagram of a warehouse inventory method according to an embodiment of the present disclosure;

fig. 2 schematically illustrates a structural schematic diagram of a warehouse inventory system according to an embodiment of the present disclosure;

FIG. 3 schematically shows a flow diagram for obtaining item information according to an embodiment of the present disclosure;

FIG. 4 schematically illustrates a flow diagram of an approval process according to an embodiment of the present disclosure;

FIG. 5 schematically illustrates a flow diagram for performing a copy in accordance with an embodiment of the present disclosure;

fig. 6 schematically illustrates a flow diagram of warehouse inventory according to an embodiment of the present disclosure;

fig. 7 schematically illustrates a block diagram of a warehouse inventory apparatus, in accordance with an embodiment of the present disclosure;

FIG. 8 schematically shows a block schematic of an electronic device according to an embodiment of the present disclosure;

fig. 9 schematically shows a program product schematic according to an embodiment of the present disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.

Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the disclosure.

The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.

The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.

Based on the problems in the related art, a warehouse inventory method is proposed in one embodiment of the present disclosure. Fig. 1 shows a flow diagram of a warehouse inventory method, which, as shown in fig. 1, comprises at least the following steps:

step S110: receiving the article type sent by the data acquisition equipment and article information corresponding to the article type, and combining the article information according to the article type to generate an inventory list;

step S120: comparing the inventory list with the inventory list to determine an abnormal list;

step S130: and carrying out examination and approval processing on the abnormal list, and executing a first target operation according to an examination and approval result.

According to the warehouse checking method in the embodiment of the disclosure, on one hand, the checking list is generated by receiving the article type and the article information sent by the data acquisition equipment, so that the primary checking of the articles in the warehouse is realized, the warehouse checking task is issued, and the system loss is reduced; on the other hand, by carrying out approval processing on the abnormal list, the influence on the article information caused by real-time change of the warehouse is avoided, the warehouse checking result is more accurate, and the warehouse checking efficiency is improved.

It should be noted that the warehouse inventory method in the exemplary embodiment is applied to a warehouse inventory system structure. Fig. 2 shows a schematic structural diagram of a warehouse inventory system suitable for implementing an embodiment of the present disclosure, and as shown in fig. 2, the warehouse inventory system 200 includes four structural layers, namely a hardware facility layer 201, a database layer 202, an inventory service layer 203 and an underlying application layer 204, and the four structural layers of the warehouse inventory system 200 are described in detail as follows:

first, the hardware facility layer 201 includes: the system comprises an application server, a database server, data acquisition equipment (with a bar code scanning function), a computer and network equipment. The application server and the database server belong to a server side and are used for providing related capabilities such as data storage, query, modification and inventory application services; the data acquisition equipment and the computer belong to a client and are media for a user to use the system, the data acquisition equipment is mainly used for scanning article codes and carrying out pre-inventory and multi-inventory data statistics operation, and the computer is used for personnel management, authority management, material management, approval flow management, basic inquiry, inventory generation, abnormal order generation, multi-inventory detail release, approval abnormal order generation and other operations; the network device is a system operation environment connecting a client and a server.

Secondly, the database layer 202 is mainly used for storing system data, and the system data mainly includes a human basic information table: personnel table, authority table, material table, personnel authority table still include the relevant form of checking: the system comprises a pre-disk list, a pre-disk detail list, an inventory detail list, a re-disk detail list, an abnormal detail list, an examination and approval list and a stock list. Specifically, staff table: the basic information of personnel basic information name, telephone, unique identification and the like is contained. Permission list: recording the function of setting the authority. Personnel authority table: and configuring the rights owned by the personnel. Material table: and basic information such as article codes, article names, units, piece counting modes, types of belonged articles and the like is recorded. Pre-form ordering: and recording information such as a pre-disc list number, an article type, article information, a pre-disc state, pre-disc time and the like generated by the operation of the data acquisition equipment. Pre-inventory list: the state of the sublist is the same as that of the pre-disc list, and the unique identifier of the pre-disc list, the number of the pre-disc list, the article code, the article information and the like are recorded. Checking the list: recording the information of the pre-order generation order, such as the number of the order, the set of the number of the pre-order, the type of the article, the information of the article, the order time and the like. Checking a statement: the system is a sub-table of the checking list, the state of the checking list is the same as that of the pre-checking list, and the unique identification of the checking list, the number of the checking list, the code of the article, the type of the article, the information of the article, the checking quantity, the inventory quantity and the like are recorded. Compounding a single dish: recording the information of the number of the copy sheet, the state of the copy sheet, the number of the checking sheet, the type of the article, the information of the article, the time of the copy sheet and the like. Repeating detailed list: the method is a sub-table of the compound disc list, and records the unique identification of the compound disc list, the number of the compound disc list, the article code, the article type, the article information and the like. Inventory form: record the item code, the inventory item information, etc. Exception sheet: the checking list and the inventory list are correspondingly generated, one checking list can generate an abnormal list, and the number, the state and the type of the abnormal list are recorded. Exception statement: the abnormal bill is an abnormal bill table, and records unique identification of the abnormal bill, abnormal bill number, article code, abnormal bill type, inventory quantity, abnormal quantity and the like. And (4) approval processing list: and recording an abnormal single number, the approval processing time, the approval processing result and the like.

Thirdly, the basic application layer 203 mainly maintains basic information, such as personnel addition, personnel authority configuration, approval flow configuration, and the like.

Finally, the service layer of inventory mainly includes the functions of the relevant service of inventory, which specifically includes: pre-checking by a data acquisition device, re-checking by the data acquisition device, issuing of multiple detailed checks, exporting of various detailed checks, generation of an abnormal order, examination and approval of the abnormal order, generation of a checking order by combination, cancellation of warehouse checking tasks and the like.

In order to make the technical solution of the present disclosure clearer, each step of the warehouse inventory method is explained next.

In step S110, the item type and the item information corresponding to the item type sent by the data acquisition device are received, and the item information is merged according to the item type to generate an inventory.

In an exemplary embodiment of the present disclosure, before receiving an item type and item information sent by a data acquisition device, a data acquisition instruction is sent to the data acquisition device to cause the data acquisition device to acquire the item information corresponding to the item type, where the data acquisition instruction includes the item type.

In an exemplary embodiment of the present disclosure, the data acquisition device performs pre-inventory and generates a pre-inventory list, and specifically, the data acquisition device may acquire an item type and item information corresponding to an item code by automatically scanning the item code, where the item code includes a bar code of an item and may also include a digital code of the item. The data acquisition equipment records the acquired article types and article information in the pre-disc list, generates the pre-disc list from the pre-disc list, the number of the pre-disc list, the state of the pre-disc, the time of the pre-disc and other information, and sends the pre-disc list to the computer terminal.

In an exemplary embodiment of the present disclosure, the item type includes a category to which the item belongs, and the item type may contain a plurality of sub-categories of the item. For example, in the warehouse, the type of the product includes fruit, and the fruit specifically includes multiple sub-products such as apple, grape, banana, and the like. The item information includes an item number, an item weight, an item volume, an item cost price, a location of the warehouse where the item is located, an existing state of the item, and the like, and the present disclosure is not particularly limited thereto.

It should be noted that the computer terminal may issue the article types to be checked to the data acquisition device at one time, so that the data acquisition device obtains article information corresponding to the plurality of article types according to the plurality of article types, and uniformly sends the article information corresponding to the plurality of article types to the computer terminal. The article types may also be issued to the data acquisition device one by one, for example, one article type is issued at a time, and after receiving article information corresponding to the article type sent by the data acquisition device, the next article type is sent to the data acquisition device. The type of the related item may also be issued at one time, for example, the type of the item corresponding to the item located in the same warehouse partition may be issued, which is not specifically limited in this disclosure.

For example, fig. 3 is a schematic flow chart illustrating a process of acquiring article information at a data acquisition device, as shown in fig. 3, in step S310, the data acquisition device receives a data acquisition instruction and performs article counting according to the data acquisition instruction; in step S320, entering into an inventory of the first article type, scanning the article code, and acquiring the article type and the article information corresponding to the article code; in step S330, determining whether the item type is a first item type; in step S340, if the item type is the first item type, adding the item information corresponding to the item type to the pre-inventory list corresponding to the first item type; in step S350, if the article type is not the first article type, displaying a non-first article type prompt, and adding the article information to the pre-pallet list corresponding to the article type; in step S360, it is determined whether to continue the checking of the first article type, if so, the above steps S320 to S350 are repeatedly performed, and if not, step S370 is performed; in step S370, if the first item type is not checked, the first item type and the corresponding pre-inventory list table are generated and sent to the computer.

In an exemplary embodiment of the present disclosure, in order to prevent an article of the same article type from appearing in a plurality of warehouses, resulting in generation of a plurality of pieces of article information of the same article type at the time of pre-inventory, the article information is merged according to the article type to generate an inventory sheet, specifically, the article information is classified according to the article subclass, and the article information corresponding to the same article subclass is merged to form a sub-inventory sheet corresponding to each article subclass; and acquiring the inventory list according to the sub-inventory list corresponding to each article subclass.

In step S120, the inventory list is compared with the inventory list to determine an abnormal list.

In an exemplary embodiment of the present disclosure, an inventory is obtained, the inventory includes an inventory generated after the last warehouse inventory, and the exception list includes an inventory and an inventory.

In the exemplary embodiment of the disclosure, the item information belonging to the same item type in the inventory list and the inventory list are compared line by line, and if the item information corresponding to the same item type is the same, the item information belongs to normal data; if the article information in the inventory list corresponding to the same article type is different from the article information in the inventory list, the article information corresponding to the article type is abnormal data, the article type, the article information in the inventory list corresponding to the article type and the article information in the inventory list form an abnormal data pair, and one or more abnormal data pairs form an abnormal list.

In step S130, the exception sheet is approved, and a first target operation is executed according to the approval result.

In an exemplary embodiment of the present disclosure, it is determined whether an abnormal data pair satisfies a first preset condition; if yes, updating the inventory list according to the inventory list; if not, judging whether the abnormal data pair meets a second preset condition or not, and executing a second target operation according to the judgment result, specifically, when the abnormal data pair meets the second preset condition, executing a re-disc operation on the corresponding target article type according to the abnormal data, and executing a third target operation according to the re-disc result; and when the abnormal data pair does not meet the second preset condition, reserving the inventory list.

Fig. 4 is a schematic flowchart of the approval process, and as shown in fig. 4, in step S410, it is determined whether the abnormal data pair satisfies the first preset condition. The first preset condition may be that the difference between the numbers of the articles in the abnormal data pair satisfies a first preset number loss of the article type, where the first preset number loss may be set according to an actual situation, and may be set differently according to the article types, which is not specifically limited by the present disclosure.

For example, the loss of the first preset number of the a type meeting the first preset condition is set to be 3, and if the number of the a type of the article in the inventory list is 100 and the number of the a type of the article in the inventory list is 99, it is determined that the exception list corresponding to the a type meets the first preset condition. The first preset condition may also be that the difference between the cost prices of the articles in the abnormal data pair satisfies a first preset cost loss of the article type, where the first preset cost loss may be set according to an actual situation, and may be set differently according to the article types, which is not specifically limited by the present disclosure. For example, if the first preset cost loss of the type B is set to 5 yuan, and the cost price difference between the type B in the abnormal bill and the type B in the inventory bill is 2.6 yuan, it is determined that the abnormal bill corresponding to the type B satisfies the first preset condition. Of course, the first preset condition may also be that the difference between the weights of the articles in the abnormal data pair satisfies the preset article weight, which is not specifically limited by the present disclosure.

In step S420, if the abnormal data pair satisfies a first preset condition, updating the inventory list according to the inventory list; in step S430, if the abnormal data pair does not satisfy the first preset condition, determining whether the abnormal data pair satisfies a second preset condition; the second preset condition may be that the difference between the numbers of the articles in the abnormal data pair satisfies a second preset number loss of the article type, and the second preset loss may be set according to an actual situation, which is not specifically limited by the present disclosure. Of course, the second preset condition may also be that the difference between the weight or the volume of the article in the abnormal data pair satisfies the preset loss of the article type, which is not specifically limited in this disclosure, in step S440, when the abnormal data pair satisfies the second preset condition, the duplication operation is performed on the corresponding target article type according to the abnormal data, and the third target operation is performed according to the duplication result; in step S450, when the abnormal data pair does not satisfy the second preset condition, the inventory list is retained, and the warehouse inventory is cancelled.

In an exemplary embodiment of the present disclosure, performing a copy operation on a corresponding target item type according to exception data includes: and sending the type of the target object to data acquisition equipment so that the data acquisition equipment performs duplication to acquire target object information corresponding to the type of the target object.

In an exemplary embodiment of the present disclosure, the performing of the third target operation according to the result of the copy includes: receiving target article information sent by data acquisition equipment, and generating a double-order list according to the target article information and the type of a target article; acquiring target inventory information corresponding to the type of the target object, and comparing the target object information with the target inventory information to determine a target abnormal bill; and carrying out approval processing on the target exception list, and executing a first target operation according to an approval result.

Fig. 5 shows a schematic flow chart of the abnormal order duplication, which specifically includes the following steps S510 to S540, and the detailed description is as follows:

in step S510, the type of the target item is sent to the data acquisition device, so that the data acquisition device acquires target item information corresponding to the type of the target item.

In an exemplary embodiment of the present disclosure, the number of the target item types may be one or multiple, the duplication details are generated according to the target item types, and the duplication details are sent to the data acquisition device, so that the data acquisition device acquires corresponding target item information according to the target item types in the duplication details.

In an exemplary embodiment of the disclosure, at a data acquisition device end, the data acquisition device receives the duplication detail sent by a computer end, enters a duplication page, first selects a first target article type in the duplication detail to duplicate, scans an article code, and obtains target article information corresponding to the article code; then, judging whether the target object types in the duplication list are all duplicated, if so, generating a duplication list by all the target object types, the target object codes and the target object information, and sending the duplication list, the duplication list number, the duplication state and the duplication time to a computer terminal; if not, the target article types which are not duplicated are duplicated until the duplication operations of all the target article types are completed.

In step S520, the target item information sent by the data acquisition device is received, and a reply form is generated according to the target item information and the type of the target item.

In an exemplary embodiment of the present disclosure, one or more target item types and target item information corresponding to the target item types sent by a data acquisition device are received, and the target item information is merged according to the target item types to generate a double receipt.

In step S530, target inventory information corresponding to the type of the target item is obtained, and the target item information is compared with the target inventory information to determine a target exception list.

In an exemplary embodiment of the present disclosure, the target inventory information is compared with data belonging to the same target item type in the target item information, and if the target inventory information corresponding to the same target item type is the same as the target item information, the data belongs to normal data; if the target inventory information and the target article information corresponding to the same target article type are different, the target article information and the target inventory information corresponding to the target article type are abnormal data, the target article type, the target inventory information and the target article information corresponding to the target article type are combined into a target abnormal data pair, and one or more target abnormal data pairs are combined into a target abnormal list.

In step S540, the target exception sheet is approved, and a first target operation is executed according to the approval result.

In an exemplary embodiment of the present disclosure, the above-mentioned approval processing procedure is performed for the target exception sheet, and the first target operation is performed according to the approval result. Wherein the target exception sheet includes one or more target exception data pairs. Specifically, if the target abnormal bill meets a first preset condition, updating the inventory bill according to the target article information; if the target exception list does not meet the first preset condition and does not meet the second preset condition, reserving the inventory list; and if the target exception list does not meet the first preset condition but meets the second preset condition, repeating the checking operation and the approval processing operation according to the type of the target object.

Fig. 6 is a schematic flow chart illustrating warehouse inventory, and as shown in fig. 6, in step S610, item information corresponding to an item type is acquired according to the item type by a data acquisition device; in step S620, an inventory is generated according to the item type and item information corresponding to the item type; in step S630, the inventory list is compared with the inventory list to generate an abnormal list; in step S640, it is determined whether the exception sheet satisfies a first preset condition; in step S650, if the exception entry satisfies the first preset condition, the inventory entry is updated according to the inventory entry; in step S660, the warehouse inventory is ended; in step S670, if the exception sheet does not satisfy the first preset condition, determining whether the exception sheet satisfies a second preset condition; in step S680, if the exception list does not satisfy the second preset condition, the inventory list is retained, and the warehouse inventory is ended; in step S690, if the exception sheet satisfies the second preset condition, the target item type corresponding to the exception sheet is taken as a new item type, and steps S610 to S680 are repeatedly executed until the warehouse inventory task is finished.

Embodiments of the apparatus of the present disclosure are described below, which may be used to perform the warehouse inventory method of the present disclosure described above. For details not disclosed in the embodiments of the apparatus of the present disclosure, please refer to the embodiments of the warehouse inventory method described above in the present disclosure.

Fig. 7 schematically illustrates a block diagram of a warehouse inventory apparatus, according to one embodiment of the present disclosure.

Referring to fig. 7, a warehouse inventory apparatus 700 according to an embodiment of the present disclosure, the warehouse inventory apparatus 700 including: an inventory generation module 701, an exception determination module 702 and an approval processing module 703. Specifically, the method comprises the following steps:

a generation and inventory module 701, configured to receive the item type and item information corresponding to the item type sent by the data acquisition device, and merge the item information according to the item type to generate an inventory;

an abnormal order determination module 702, configured to compare the inventory order with the inventory order to determine an abnormal order;

and an approval processing module 703, configured to perform approval processing on the exception sheet, and execute the first target operation according to an approval result.

The details of the above-mentioned devices have been described in detail in the corresponding warehouse inventory method, and therefore, the details are not described herein.

It should be noted that although in the above detailed description several modules or units of the apparatus for performing are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.

In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.

As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.

An electronic device 800 according to this embodiment of the invention is described below with reference to fig. 8. The electronic device 800 shown in fig. 8 is only an example and should not bring any limitations to the function and scope of use of the embodiments of the present invention.

As shown in fig. 8, electronic device 800 is in the form of a general purpose computing device. The components of the electronic device 800 may include, but are not limited to: the at least one processing unit 810, the at least one memory unit 820, a bus 830 connecting different system components (including the memory unit 820 and the processing unit 810), and a display unit 840.

Wherein the storage unit stores program code that is executable by the processing unit 810 to cause the processing unit 810 to perform steps according to various exemplary embodiments of the present invention as described in the above section "exemplary methods" of the present specification. For example, the processing unit 810 may execute step S110 shown in fig. 1, receive the item type and the item information corresponding to the item type sent by the data acquisition device, and combine the item information according to the item type to generate an inventory; step S120, comparing the inventory list with the inventory list to determine an abnormal list; and step S130, carrying out approval processing on the abnormal list, and executing a first target operation according to an approval result.

The storage unit 820 may include readable media in the form of volatile memory units such as a random access memory unit (RAM)8201 and/or a cache memory unit 8202, and may further include a read only memory unit (ROM) 8203.

The storage unit 820 may also include a program/utility 8204 having a set (at least one) of program modules 8205, such program modules 8205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

Bus 830 may be any of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

The electronic device 800 may also communicate with one or more external devices 1000 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a viewer to interact with the electronic device 800, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 800 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 850. Also, the electronic device 800 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 860. As shown, the network adapter 860 communicates with the other modules of the electronic device 800 via the bus 830. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the electronic device 800, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section "exemplary methods" of the present description, when said program product is run on the terminal device.

Referring to fig. 9, a program product 900 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a 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.

The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A 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 of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is to be limited only by the terms of the appended claims.

Claims

1. A warehouse inventory method, comprising:

receiving an article type and article information corresponding to the article type sent by data acquisition equipment, and combining the article information according to the article type to generate an inventory list;

comparing the inventory list with a stock list to determine an abnormal list;

and carrying out approval processing on the abnormal list, and executing a first target operation according to an approval result.

2. The warehouse inventory method of claim 1, wherein prior to receiving the item type and item information sent by the data collection device, the method further comprises:

and sending a data acquisition instruction to the data acquisition equipment so as to enable the data acquisition equipment to acquire the article information corresponding to the article type, wherein the data acquisition instruction comprises the article type.

3. The warehouse inventory method of claim 1, wherein the item type comprises a plurality of item sub-categories;

merging the item information according to the item type to generate an inventory, comprising:

classifying the article information according to the article subclasses, and merging the article information corresponding to the same article subclass to form a sub-inventory list corresponding to each article subclass;

and generating the inventory list according to the sub-inventory list corresponding to each article subclass.

4. The warehouse inventory method of claim 1, wherein the exception ticket includes one or more exception data pairs;

the abnormal sheet is approved, and a first target operation is executed according to the approval result, wherein the method comprises the following steps:

judging whether the abnormal data pair meets a first preset condition or not;

if yes, updating the inventory list according to the inventory list;

if not, judging whether the abnormal data pair meets a second preset condition or not, and executing a second target operation according to a judgment result.

5. The warehouse inventory method of claim 4, wherein performing the second target operation according to the determination comprises:

when the abnormal data pair meets the second preset condition, executing a duplication operation on the corresponding target article type according to the abnormal data pair, and executing a third target operation according to a duplication result;

and when the abnormal data pair does not meet the second preset condition, reserving the inventory list.

6. The warehouse inventory method of claim 5, wherein performing a duplication operation on the corresponding target item type according to the anomaly data comprises:

and sending the type of the target object to the data acquisition equipment so that the data acquisition equipment acquires the target object information corresponding to the type of the target object.

7. The warehouse inventory method of claim 5 or 6, wherein performing a third target operation based on the double result comprises:

receiving target article information sent by the data acquisition equipment, and generating a reply list according to the target article information and the type of the target article;

acquiring target inventory information corresponding to the type of the target object, and comparing the target object information with the target inventory information to determine a target abnormal bill;

and carrying out approval processing on the target exception list, and executing a first target operation according to an approval result.

8. A warehouse inventory device, comprising:

the generating and checking list module is used for receiving the article type sent by the data acquisition equipment and article information corresponding to the article type, and combining the article information according to the article type to generate a checking list;

the abnormal order determining module is used for comparing the inventory order with the inventory order to determine an abnormal order;

and the examination and approval processing module is used for examining and approving the abnormal sheet and executing a first target operation according to the examination and approval result.

9. A computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the warehouse inventory method as claimed in any one of claims 1 to 7.

10. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the warehouse inventory method as claimed in any one of claims 1 to 7.