CN115649727B - Power plant multi-scale object intelligent warehouse management method and system - Google Patents
Power plant multi-scale object intelligent warehouse management method and system Download PDFInfo
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The application provides a method and a system for smart warehouse management of multi-scale objects in a power plant, wherein the method comprises the following steps: acquiring the size of a target object to be put in storage; determining a target warehousing area of the target object according to the size of the target object and the number of the electronic tags in each area in the target warehouse; reading object identifiers and the number of banks in the electronic label corresponding to each available shelf, and calculating functional relation parameters between the target object and each available shelf according to a pre-established power plant functional relation knowledge graph; and determining a target warehousing shelf of the target object from available shelves in the target warehousing area. According to the intelligent warehouse management method and system for the multi-scale objects of the power plant, provided by the embodiment of the invention, based on the multi-scale characteristics of the objects and the functional relations of different objects in the power plant project, the warehouse-out transportation efficiency of the objects with similar sizes and the warehouse-out transportation efficiency of the different objects with the functional relations are improved when the power plant project calls the objects.
Description
Technical Field
The application relates to the technical field of intelligent storage, in particular to a method and a system for managing intelligent storage of multi-scale objects in a power plant.
Background
Smart warehousing is one of the important technologies in the process of object preservation and circulation, involves a user warehousing all relevant objects in a warehouse and achieves effective inventory management. The existing intelligent warehousing technology is mainly oriented to general scenes, for example, the warehousing technology of supermarkets and electronic commerce involves a plurality of parts with different types, and various cargoes in a warehouse can be packaged into standard-size warehousing objects after secondary packaging, so that standardized warehousing management is realized. For example, the number of warehouse objects on each row of shelves is relatively fixed, and each warehouse object can be subjected to inventory management by using independent electronic labels. In addition, as different warehouse objects have no relevance, only the shortest warehouse-in path is realized by taking the path planning algorithm into consideration when warehouse-in is performed, and the warehouse-in efficiency is improved.
However, the warehousing technology in the prior art does not meet the requirements of the power plant warehousing scenario. Items in a power plant warehouse have multi-scale characteristics: the largest items include turbines, engines, etc.; while the smallest items include screwdrivers, nuts, etc. The quantity of articles stored in each row of shelves is larger when multi-scale articles in the power plant are stored, the quantity of electronic labels is also uncertain correspondingly, and the calculation difficulty is higher when the storage management is carried out; in addition, the objects in the power plant have a certain relevance in function, and if only the shortest warehousing path is considered during warehousing, the ex-warehouse efficiency is obviously reduced when a plurality of objects are called out to realize a certain function.
Disclosure of Invention
The embodiment of the invention aims to provide a method and a system for intelligent warehouse management of multi-scale objects in a power plant.
In a first aspect, the method for smart warehouse management of multi-scale objects in a power plant provided by the embodiment of the invention comprises the following steps:
acquiring the size of a target object to be put in storage;
determining a target warehousing area of the target object according to the size of the target object and the number of the electronic tags in each area in a target warehouse; each electronic label is used for recording object information on a certain row of shelves in the target warehouse;
reading a spare indicator in each electronic label in the target warehousing area, and determining available shelves in the target warehousing area;
reading object identifiers and the number of banks in the electronic label corresponding to each available shelf, and calculating functional relation parameters between the target object and each available shelf according to a pre-established power plant functional relation knowledge graph;
and determining a target warehousing shelf of the target object from the available shelves in the target warehousing area according to the functional relation parameters between the target object and all the available shelves.
Optionally, the reading the object identifier and the number of the banks in the electronic label corresponding to each available shelf, and calculating the functional relationship parameters between the target object and each available shelf according to a pre-established power plant functional relationship knowledge graph specifically includes:
for each available shelf, determining a plurality of object identifiers in electronic labels corresponding to the available shelf;
searching in the power plant functional relationship knowledge graph to obtain a plurality of power plant functional relationship triples by taking any one of the object identifiers as a head entity and taking the identifier of the target object as a tail entity, or taking any one of the object identifiers as a tail entity and taking the identifier of the target object as a head entity;
and determining functional relation parameters between the target object and the available goods shelf according to the entity relation of the corresponding stock quantity of each object on the available goods shelf and the power plant functional relation triplet.
Optionally, the determining the functional relation parameter between the target object and the available shelf according to the entity relation of the corresponding inventory quantity of each object on the available shelf and the power plant functional relation triplet specifically includes:
calculating the product of the corresponding stock quantity of each object on the available goods shelf and the entity relation of the power plant functional relation triplet;
and averaging the product calculation results of the plurality of objects on the available shelf as a functional relation parameter between the target object and the available shelf.
Optionally, the power plant functional relationship knowledge graph is established according to the following method:
reading an object list used in any target power plant project;
establishing a power plant function relation triplet by taking any two objects in the object list as a head entity and a tail entity and taking an operation frequency coefficient of the target power plant project as an entity relation;
and if the power plant functional relation knowledge graph exists the power plant functional relation triplet, accumulating the operation frequency coefficient of the target power plant project into the entity relation of the power plant functional relation triplet, otherwise, adding the power plant functional relation triplet into the power plant functional relation knowledge graph.
Optionally, the determining, according to the functional relation parameters between the target object and all available shelves, a target warehouse-in shelf of the target object in the available shelves in the target warehouse-in area specifically includes:
and selecting the available shelf with the maximum functional relation parameter value from the target storage area as the target storage shelf of the target object.
Optionally, the determining the target warehouse entry area of the target object according to the size of the target object and the number of the electronic tags in each area in the target warehouse specifically includes:
determining the size grade of the target object according to the size of the target object;
and after the number of the electronic tags in each region in the target warehouse is ordered, determining a target warehouse-in region of the target object according to the size grade of the target object.
Optionally, the size of the target object is obtained by scanning the target object through a scanning device.
Optionally, the electronic sign includes a page-turning key, and the page-turning key is used for switching and displaying the object identification and the quantity of the warehouse among the objects in the shelf corresponding to the electronic sign.
Optionally, the empty indicator of the electronic sign is used for displaying whether the corresponding goods shelf has a space for storing the objects.
In a second aspect, an embodiment of the present invention provides a smart warehouse management system for multi-scale articles in a power plant, the system comprising:
the object size determining module is used for obtaining the size of a target object to be put in storage;
the warehouse-in area determining module is used for determining a target warehouse-in area of the target object according to the size of the target object and the number of the electronic tags in each area in the target warehouse; each electronic label is used for recording object information on a certain row of shelves in the target warehouse;
the available goods shelf determining module is used for reading the spare indicators in each electronic label in the target warehousing area and determining available goods shelves in the target warehousing area;
the functional relation determining module is used for reading the object identification and the quantity of the repository in the electronic label corresponding to each available goods shelf, and calculating the functional relation parameters between the target object and each available goods shelf according to a pre-established power plant functional relation knowledge graph;
and the warehouse-in shelf determining module is used for determining a target warehouse-in shelf of the target object in the available shelves in the target warehouse-in area according to the functional relation parameters between the target object and all the available shelves.
According to the intelligent warehouse management method and system for the multi-scale objects of the power plant, provided by the embodiment of the invention, based on the multi-scale characteristics of the objects in the warehouse management scene of the power plant and the functional relation of different objects in the power plant project, and the influence of the functional relation on the ex-warehouse transportation efficiency of the power plant objects, the target warehouse-in area is determined according to the size of the target objects, and the target warehouse-in shelf for warehousing the target objects is further determined by pre-establishing the power plant functional relation knowledge graph and the inventory condition of the shelf objects, so that the ex-warehouse transportation efficiency of the objects with similar sizes and the ex-warehouse transportation efficiency of the different objects with functional relation are improved when the plurality of objects are called by the subsequent power plant project.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description will briefly explain the drawings that are required to be used in the embodiments of the present application.
FIG. 1 is a schematic flow chart of a method for smart warehouse management of multi-scale articles in a power plant according to an embodiment of the present invention;
FIG. 2 is a flow chart of a functional relation parameter determining method according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a method for establishing a power plant functional relationship knowledge graph according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a system for smart warehouse management of multi-scale articles in a power plant according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
Like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Smart warehousing is one of the important technologies in the process of object preservation and circulation, involves a user warehousing all relevant objects in a warehouse and achieves effective inventory management. The existing intelligent warehousing technology is mainly oriented to general scenes, for example, the warehousing technology of supermarkets and electronic commerce involves a plurality of parts with different types, and various cargoes in a warehouse can be packaged into standard-size warehousing objects after secondary packaging, so that standardized warehousing management is realized. For example, the number of warehouse objects on each row of shelves is relatively fixed, and each warehouse object can be subjected to inventory management by using independent electronic labels. In addition, as different warehouse objects have no relevance, only the shortest warehouse-in path is realized by taking the path planning algorithm into consideration when warehouse-in is performed, and the warehouse-in efficiency is improved.
However, the warehousing technology in the prior art does not meet the requirements of the power plant warehousing scenario. Items in a power plant warehouse have multi-scale characteristics: the largest items include turbines, engines, etc.; while the smallest items include screwdrivers, nuts, etc. The quantity of articles stored in each row of shelves is larger when multi-scale articles in the power plant are stored, the quantity of electronic labels is also uncertain correspondingly, and the calculation difficulty is higher when the storage management is carried out; in addition, the objects in the power plant have a certain relevance in function, and if only the shortest warehousing path is considered during warehousing, the ex-warehouse efficiency is obviously reduced when a plurality of objects are called out to realize a certain function.
Therefore, in the warehouse management scenario of the multi-scale objects in the power plant, only the shortest warehouse entry path cannot be considered when the objects are warehoused, and the problem of the efficiency of warehouse-out transportation of the objects with similar sizes and the problem of the efficiency of different objects with functional relations in the power plant project during warehouse-out transportation also need to be considered.
Based on the above, the embodiment of the invention provides a method and a system for intelligent warehouse management of multi-scale objects in a power plant. FIG. 1 shows a flowchart of a method for smart warehouse management of multi-scale articles in a power plant according to an embodiment of the present invention.
Step S110, the size of the target object to be put in storage is obtained.
Warehouse management typically stores all items in one warehouse building, and a common warehouse building can be divided into storage structures of different levels such as floors, areas, shelves, and the like. The items in the power plant warehouse are different from standard items or packages of a general scene, and the largest characteristic is the multiscale of the items. The largest items include turbines, engines, etc.; while the smallest items include screwdrivers, nuts, etc. The power plant warehouse factory building in the embodiment of the invention is divided into a plurality of areas in advance, and the sizes of the areas can be basically the same. In a power plant warehouse scene, different objects can be subjected to warehouse-out treatment when being called by an item, and the modes adopted by the objects with different scales can be completely different when being called. Large-sized articles such as engines are typically delivered for shipment using forklifts or other large-scale transportation means; and parts such as screwdrivers can be delivered and transported by flexible devices such as AGV trolleys with path navigation and loading functions.
Therefore, when the multi-scale objects in the warehouse scene of the power plant are subjected to warehouse-out calling, if the objects with similar sizes are scattered and warehoused in different areas, the difficulty of the warehouse-out calling can be greatly increased. For example, if a certain plant project requires the invocation of only one engine and one turbine in the warehouse, however, the engines and turbines are respectively put into the A area located in the first floor of the warehouse and the X area located in the fourth floor of the warehouse, the operation difficulty of the large-scale transportation device is greatly increased; conversely, if both the engine and the turbine are brought into the same area or close to the floor, the efficiency of the large-scale transportation device is significantly improved. While performing a project operation in a power plant application scenario may involve invoking a large number of items, the above problems may be significantly exacerbated.
In order to solve the above-mentioned problems, the intelligent warehouse management method provided by the embodiment of the invention needs to consider the size of the object first when the object is warehoused. For the target object to be put in storage, the size data of the object can be quickly acquired by the scanning equipment before putting in storage, for example, a multi-vision scanning equipment can be adopted. Because the size of the target object is mainly used for finally determining which shelf in the warehouse the target object enters, the size data does not need to be very accurate, and the common low-cost multi-vision scanning equipment can estimate the approximate length, width and height data of the target object, so that the requirement of the step can be met.
Step S120, determining a target warehousing area of the target object according to the size of the target object and the number of electronic tags in each area in a target warehouse; each electronic label is used for recording object information on a certain row of shelves in the target warehouse.
After the size of the target object is obtained, the target warehouse-in area of the target object needs to be determined in the step. As described above, the areas in the embodiment of the present invention are artificially divided into warehouse areas, for example, a warehouse may include five floors, each floor is divided into ten areas, the entire warehouse includes fifty areas, and the areas of each area are substantially the same.
The number of shelves in each area and the number of articles on each row of shelves in the standardized warehouse are basically the same, and accordingly, the number of electronic labels on each row of shelves and the number of electronic labels in each area are the same because each article on each shelf is provided with one electronic label for checking article information, so that warehouse management is very convenient. In contrast, in the power plant warehouse management scenario, the number of shelves in each area and the number of articles on each row of shelves are greatly different due to the multi-scale characteristics of the articles, so that the traditional electronic signage is also difficult to manage.
The embodiment of the invention adopts a more flexible electronic label. The electronic sign corresponds not to one item but to all items on one shelf. The electronic sign comprises a page turning key, wherein the page turning key is used for switching and displaying the object identification and the quantity of the warehouse among a plurality of objects in a shelf corresponding to the electronic sign. For each item, the electronic sign may display the primary content of the item's identification information, inventory information, and the like. In addition, the electronic sign may further comprise a spare indicator for displaying whether the corresponding shelf has a space for storing articles. The object information and the goods shelf spare information can also be read by the background of the warehouse management platform.
It will be appreciated that, based on the above-described electronic signage application, the larger the overall size of the items stored in a warehouse area, the fewer the number of shelves actually contained, and correspondingly the fewer the number of electronic signage.
Therefore, when the target object is put in storage, the number of the electronic labels in each area in the warehouse, namely the number of shelves in each area, can be obtained from the background of the warehouse management platform, and the number of shelves in each area represents the overall size of the object put in storage in each area. Specifically, the size class of the target object may be first determined according to the size of the target object, and the size class may be manually determined, for example, the size class may be manually set to a class value interval of 1 to 100 according to the object size from small to large. And then, after the number of the electronic tags in each region in the target warehouse is ranked from high to low, determining the target warehouse-in region of the target object according to the level of the target object in the grade value interval according to the size grade of the target object. Therefore, the objects with similar sizes can be put into the same area as much as possible, and the transportation efficiency of the subsequent objects for leaving the warehouse is improved.
Step S130, reading the spare indicators in each electronic label in the target warehouse-in area, and determining available shelves in the target warehouse-in area.
After determining the target storage area of the target object, it is then necessary to further determine to which shelf of the target storage area the target object is stored. Since some shelves may have no empty locations to warehouse in, it is first to identify which shelves in the target area are available shelves with empty space.
Because the foregoing describes that the electronic label corresponding to each shelf in the embodiment of the present invention includes a spare indicator for displaying whether the corresponding shelf has a space for storing articles. Therefore, the empty indicators of all the electronic labels in the area can be read in the background of the warehouse management platform, and the available shelves in the target area can be screened out. As an alternative, this step records the size of the items as they are being stocked, more precisely recording the free space of the shelves in the free indicators, so that the available shelves can be more precisely screened according to the size of the free space of the shelves.
And step 140, reading the object identification and the quantity of the repository in the electronic label corresponding to each available shelf, and calculating the functional relation parameters between the target object and each available shelf according to the pre-established power plant functional relation knowledge graph.
In the prior art, when the shortest transportation path is needed to be considered when a plurality of articles in warehouse management are delivered and transported, as the correlation among different articles is not generated, the shortest path is only needed to be calculated from the angle of path planning. However, when the power plant warehouse management carries out the warehouse-out transportation of a plurality of objects, the plurality of objects in the same batch warehouse-out have the relevance of completing one power plant project together, so that the objects with functional relevance need to be warehoused to the same or similar goods shelves as much as possible to realize the shortest warehouse-out transportation path, and the warehouse-out transportation efficiency can be obviously improved when the power plant project calls a batch of objects.
In this step, the number of object identifiers and the number of banks in the electronic label corresponding to each available shelf are read, and the functional relationship parameters between the target object and each available shelf are calculated according to the pre-established power plant functional relationship knowledge graph, specifically, as shown in fig. 2, step S140 may be subdivided into steps S141 to S143, which are specifically described below.
Step S141, for each of the available shelves, determining a plurality of object identifiers in the electronic tags corresponding to the available shelves.
To determine a warehouse entry shelf for a target object from a plurality of available shelves, embodiments of the present invention require determining a functional association between the target object and each of the available shelves, and in particular, calculating the functional association between the target object and all of the objects of each of the available shelves. Therefore, in this step, when calculating for each available shelf, it is necessary to determine which articles are on the available shelf, and multiple article identifiers of the electronic label may be read from the warehouse management platform background.
Step S142, respectively, using any one of the object identifiers as a head entity, using the identifier of the target object as a tail entity, or using any one of the object identifiers as a tail entity, using the identifier of the target object as a head entity, and searching in the power plant functional relationship knowledge graph to obtain a plurality of power plant functional relationship triples.
The functional relation among the objects is determined through a pre-established power plant functional relation knowledge graph. The power plant functional relation knowledge graph is a node of the left and right knowledge graph of all objects in the storage process of the power plant. The knowledge graph is composed of a plurality of triples, wherein the head entity and the tail entity of the triples are the identification of the objects, and the entity relationship of the triples is the association relationship among the objects. As shown in fig. 3, the power plant functional relationship knowledge graph is established by the following steps:
step S310, reading an object list used in any target power plant project;
step S320, a power plant functional relation triplet is established by taking any two objects in the object list as a head entity and a tail entity respectively and taking the operation frequency coefficient of the target power plant project as an entity relation;
and step S330, if the power plant functional relation knowledge graph has the power plant functional relation triplet, accumulating the operation frequency coefficient of the target power plant project into the entity relation of the power plant functional relation triplet, otherwise, adding the power plant functional relation triplet into the power plant functional relation knowledge graph.
As can be seen from the above steps S310 to S330, the embodiment of the present invention invokes experience information of all items in the application scenario of the power plant when the knowledge graph is pre-established. The power plant project often comprises a used object list, two objects appearing in the same project have an association relationship, and the more the two objects appear in the common project, the stronger the association relationship between the two objects is represented.
Therefore, when the power plant functional relation knowledge graph is pre-established, all common power plant projects can be traversed. For each power plant project, for each two items in the item list, a triplet can be established by taking the identification information of the two items as a head entity and a tail entity, and the entity relationship of the triplet can adopt the value of the operation frequency of the power plant project. The higher the operation frequency of the project, the higher the probability that the two objects are called in the same subsequent delivery transportation, so that the two objects have stronger association relation.
When the triples are established in the knowledge graph, if the triples are found to exist in the power plant functional relation knowledge graph, de-overlapping and operation are needed, namely, the head entity and the tail entity are kept unchanged, and the entity relation values are accumulated. Therefore, when two objects are commonly displayed in more object lists, the two objects have stronger association relation and need to be put into a closer goods shelf to facilitate subsequent warehouse-out transportation.
After all common power plant projects are traversed by adopting the method, a plurality of triples reflecting the relation relationship among the objects are constructed or combined, and the power plant functional relation knowledge graph can be obtained by combining the triples.
After describing the resume principle of the power plant functional relationship knowledge graph, step S142 further uses the knowledge graph to calculate the strength of the functional relationship between the target object and the object on the available shelf. The step can use a searching function of a power plant functional relation knowledge graph, namely, any one of the object identifiers is used as a head entity, the identifier of the target object is used as a tail entity, or any one of the object identifiers is used as a tail entity, the identifier of the target object is used as a head entity, and a plurality of power plant functional relation triples are obtained in the power plant functional relation knowledge graph in a searching mode. If the corresponding triplet is found, a certain functional relation exists between the representing target object and the object on the available shelf; if no corresponding triplet is found, it represents that there is no functional relationship between the target item and the item on the available shelves.
Step S143, determining a functional relationship parameter between the target object and the available shelf according to the entity relationship of the corresponding inventory number of each object on the available shelf and the power plant functional relationship triplet.
After the corresponding triplet is found, it is apparent that the value of the entity relationship in the triplet is used to determine the strength of the functional relationship between the target item and the available shelves. In addition, when the transportation efficiency of the property is called for in the same project, the stock quantity of the articles is required to be considered, and the more the stock quantity is, the higher the transportation efficiency of the articles in the warehouse is. The stock quantity of the articles on the shelf can be read through the stock information in the electronic label corresponding to the shelf. Thus, according to the entity relationship of the corresponding stock quantity of each object on the available shelf and the power plant function relationship triplet, the function relationship parameter between the target object and the available shelf, that is, the function relationship between the target object and each object of the available shelf, is determined.
Specifically, the product of the corresponding stock quantity of each object on the available goods shelf and the entity relation of the power plant functional relation triplet can be calculated, and then the product calculation result of a plurality of objects on the available goods shelf is averaged to be used as a functional relation parameter between the target object and the available goods shelf and used for representing the strength of the functional relation between the target object and the available goods shelf.
And step S150, determining a target warehouse-in shelf of the target object in the available shelves in the target warehouse-in area according to the functional relation parameters between the target object and all the available shelves.
After the functional relation parameters between the target object and each available shelf in the target warehouse-in area are obtained, the available shelf with the highest functional relation parameter can be selected as the target warehouse-in shelf of the target object. In this way, the target objects are put in the target area with the most matched object sizes, and are put in the target storage shelf with the strongest functional relationship in the current area, so that the efficiency of the out-of-warehouse transportation of the objects with similar sizes is improved, and the efficiency of the out-of-warehouse transportation of different objects with functional relationships in the power plant projects is improved.
According to the intelligent warehouse management method for the multi-scale objects of the power plant, provided by the embodiment of the invention, based on the multi-scale characteristics of the objects in the warehouse management scene of the power plant and the functional relation of different objects in the power plant project, and the influence of the intelligent warehouse management method on the ex-warehouse transportation efficiency of the power plant objects, the target warehouse-in area is determined according to the size of the target objects, and the target warehouse-in shelf for warehousing the target objects is determined by pre-establishing the knowledge graph of the functional relation of the power plant and the inventory condition of the shelf objects, so that the ex-warehouse transportation efficiency of the objects with similar sizes and the ex-warehouse transportation efficiency of the different objects with the functional relation are improved when the following power plant projects call the objects.
Based on any one of the above embodiments, fig. 4 shows a schematic structural diagram of a power plant multi-scale object intelligent warehouse management system according to an embodiment of the present invention, which specifically includes the following steps:
an object size determining module 401, configured to obtain a size of a target object to be put in storage;
a warehouse-in area determining module 402, configured to determine a target warehouse-in area of the target object according to the size of the target object and the number of electronic tags in each area in the target warehouse; each electronic label is used for recording object information on a certain row of shelves in the target warehouse;
an available shelf determination module 403, configured to read a spare indicator in each electronic label in the target in-stock area, and determine an available shelf in the target in-stock area;
the functional relation determining module 404 is configured to read the object identifier and the number of the repository in the electronic label corresponding to each available shelf, and calculate a functional relation parameter between the target object and each available shelf according to a pre-established power plant functional relation knowledge graph;
and the warehouse-in shelf determining module 405 is configured to determine a target warehouse-in shelf of the target object from the available shelves in the target warehouse-in area according to the functional relationship parameters between the target object and all the available shelves.
According to the power plant multi-scale object intelligent warehouse management system provided by the embodiment of the invention, based on the multi-scale characteristics of the objects in the warehouse management scene of the power plant and the functional relation of different objects in the power plant projects, and the influence of the multi-scale characteristics on the ex-warehouse transportation efficiency of the power plant objects, the target warehouse-in area is determined according to the size of the target objects, and the target warehouse-in shelf for warehousing the target objects is determined by pre-establishing the power plant functional relation knowledge graph and the inventory condition of the shelf objects, so that the ex-warehouse transportation efficiency of the objects with similar sizes and the ex-warehouse transportation efficiency of the different objects with functional relation are improved when the following power plant projects call the plurality of objects.
Based on any of the above embodiments, fig. 5 shows a schematic entity structure of an electronic device according to an embodiment of the present invention, where the electronic device may include: processor 510, communication interface (Communications Interface) 520, memory 530, and communication bus 540, wherein processor 510, communication interface 520, memory 530 complete communication with each other through communication bus 540. Processor 510 may invoke logic instructions in memory 530 to perform the following method:
acquiring the size of a target object to be put in storage;
determining a target warehousing area of the target object according to the size of the target object and the number of the electronic tags in each area in a target warehouse; each electronic label is used for recording object information on a certain row of shelves in the target warehouse;
reading a spare indicator in each electronic label in the target warehousing area, and determining available shelves in the target warehousing area;
reading object identifiers and the number of banks in the electronic label corresponding to each available shelf, and calculating functional relation parameters between the target object and each available shelf according to a pre-established power plant functional relation knowledge graph;
and determining a target warehousing shelf of the target object from the available shelves in the target warehousing area according to the functional relation parameters between the target object and all the available shelves.
Further, the logic instructions in the memory 530 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art or a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method of the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, embodiments of the present invention also provide a non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor is implemented to perform the method provided in the above embodiments, for example, including:
acquiring the size of a target object to be put in storage;
determining a target warehousing area of the target object according to the size of the target object and the number of the electronic tags in each area in a target warehouse; each electronic label is used for recording object information on a certain row of shelves in the target warehouse;
reading a spare indicator in each electronic label in the target warehousing area, and determining available shelves in the target warehousing area;
reading object identifiers and the number of banks in the electronic label corresponding to each available shelf, and calculating functional relation parameters between the target object and each available shelf according to a pre-established power plant functional relation knowledge graph;
and determining a target warehousing shelf of the target object from the available shelves in the target warehousing area according to the functional relation parameters between the target object and all the available shelves.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (7)
1. A method for smart warehouse management of multi-scale articles in a power plant, the method comprising:
acquiring the size of a target object to be put in storage;
determining a target warehousing area of the target object according to the size of the target object and the number of the electronic tags in each area in a target warehouse; each electronic label is used for recording object information on a certain row of shelves in the target warehouse;
reading a spare indicator in each electronic label in the target warehousing area, and determining available shelves in the target warehousing area;
for each available shelf, determining a plurality of object identifiers in electronic labels corresponding to the available shelf;
searching a plurality of power plant functional relation triples in a pre-established power plant functional relation knowledge graph by taking any one of the plurality of object identifiers as a head entity and the identifier of the target object as a tail entity or taking any one of the plurality of object identifiers as a tail entity and the identifier of the target object as a head entity;
calculating the product of the corresponding stock quantity of each object on the available goods shelf and the entity relation of the power plant functional relation triplet;
averaging the product calculation results of a plurality of objects on the available shelf as a functional relation parameter between the target object and the available shelf;
determining a target warehousing rack of the target object in the available racks in the target warehousing area according to the functional relation parameters between the target object and all the available racks;
the power plant functional relation knowledge graph is established according to the following method:
reading an object list used in any target power plant project;
establishing a power plant function relation triplet by taking any two objects in the object list as a head entity and a tail entity and taking an operation frequency coefficient of the target power plant project as an entity relation;
and if the power plant functional relation knowledge graph exists the power plant functional relation triplet, accumulating the operation frequency coefficient of the target power plant project into the entity relation of the power plant functional relation triplet, otherwise, adding the power plant functional relation triplet into the power plant functional relation knowledge graph.
2. The method according to claim 1, wherein the determining the target warehouse entry shelf of the target object among the available shelves in the target warehouse entry area according to the functional relation parameters between the target object and all the available shelves specifically comprises:
and selecting the available shelf with the maximum functional relation parameter value from the target storage area as the target storage shelf of the target object.
3. The method according to claim 1, wherein the determining the target warehouse entry area of the target object according to the size of the target object and the number of electronic tags in each area in the target warehouse specifically comprises:
determining the size grade of the target object according to the size of the target object;
and after the number of the electronic tags in each region in the target warehouse is ordered, determining a target warehouse-in region of the target object according to the size grade of the target object.
4. The method of claim 1, wherein the size of the target object is obtained by scanning the target object with a scanning device.
5. The method of claim 1, wherein the electronic sign includes a page-flip key for switching display of item identifications and inventory numbers among a plurality of items in a shelf to which the electronic sign corresponds.
6. The method of claim 1, wherein the empty indicator of the electronic sign is used to indicate whether the corresponding shelf has room to store items.
7. A power plant multi-scale article intelligent warehouse management system, the system comprising:
the object size determining module is used for obtaining the size of a target object to be put in storage;
the warehouse-in area determining module is used for determining a target warehouse-in area of the target object according to the size of the target object and the number of the electronic tags in each area in the target warehouse; each electronic label is used for recording object information on a certain row of shelves in the target warehouse;
the available goods shelf determining module is used for reading the spare indicators in each electronic label in the target warehousing area and determining available goods shelves in the target warehousing area;
the functional relation determining module is used for determining a plurality of object identifiers in the electronic labels corresponding to each available shelf; searching a plurality of power plant functional relation triples in a pre-established power plant functional relation knowledge graph by taking any one of the plurality of object identifiers as a head entity and the identifier of the target object as a tail entity or taking any one of the plurality of object identifiers as a tail entity and the identifier of the target object as a head entity; calculating the product of the corresponding stock quantity of each object on the available goods shelf and the entity relation of the power plant functional relation triplet; averaging the product calculation results of a plurality of objects on the available shelf as a functional relation parameter between the target object and the available shelf;
the warehouse-in shelf determining module is used for determining a target warehouse-in shelf of the target object in the available shelves in the target warehouse-in area according to the functional relation parameters between the target object and all the available shelves;
the power plant functional relation knowledge graph is established according to the following method:
reading an object list used in any target power plant project;
establishing a power plant function relation triplet by taking any two objects in the object list as a head entity and a tail entity and taking an operation frequency coefficient of the target power plant project as an entity relation;
and if the power plant functional relation knowledge graph exists the power plant functional relation triplet, accumulating the operation frequency coefficient of the target power plant project into the entity relation of the power plant functional relation triplet, otherwise, adding the power plant functional relation triplet into the power plant functional relation knowledge graph.
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