CN115649727A - Intelligent warehouse management method and system for multi-scale articles in power plant - Google Patents
Intelligent warehouse management method and system for multi-scale articles in power plant Download PDFInfo
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Abstract
The application provides a power plant multi-scale object intelligent warehousing management method and system, and 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 the object identification and the storage quantity 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; determining a target warehousing shelf for the target item among available shelves in the target warehousing area. According to the intelligent warehousing 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 relationships of different objects in the power plant project, the ex-warehouse transportation efficiency of the objects with similar sizes and the ex-warehouse transportation efficiency of different objects with functional relationships are improved when the power plant project calls the multiple objects.
Description
Technical Field
The application relates to the technical field of intelligent storage, in particular to a power plant multi-scale object intelligent storage management method and system.
Background
The intelligent storage is one of important technologies in the process of storing and circulating objects, and relates to the technology that a user stores all related objects in a warehouse in a warehousing mode and effective inventory management is achieved. The existing intelligent warehousing technology is mainly oriented to general scenes, for example, articles related to the warehousing technology of supermarkets and e-commerce are mostly spare parts of different types, and various goods in a warehouse can be packaged into warehousing objects with standard sizes 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 may be inventory-managed using a separate electronic sign. In addition, because different warehousing objects do not have relevance, only the shortest warehousing path is realized by adopting a path planning algorithm and the warehousing efficiency is improved when warehousing.
However, the warehousing technology in the prior art does not meet the requirements of the power plant warehousing scenario. The items in the power plant warehouse have multi-scale characteristics: the largest items include turbines, engines, etc.; and the smallest items include screwdrivers, nuts, and the like. When multi-scale articles in the power plant are stored, the difference of the number of the articles stored in each row of shelves is large, so that the number of the electronic tags is not determined correspondingly, and the calculation difficulty is large when the storage management is carried out; in addition, the objects in the power plant have certain relevance functionally, and if only the shortest warehousing path is considered during warehousing, the ex-warehouse efficiency is obviously reduced when a plurality of objects are subsequently called 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 intelligent warehouse management method for the multi-scale objects in the 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 the target warehouse; wherein each electronic label is used for recording the information of the objects on a certain row of shelves in the target warehouse;
reading the vacant indicators in each electronic label in the target warehousing area, and determining available shelves in the target warehousing area;
reading the object identification and the storage quantity 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;
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 item identifier and the stock quantity in the electronic tag corresponding to each available shelf, and calculating the functional relationship parameter between the target item 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 item identifications in the electronic label corresponding to the available shelf;
respectively taking any one of the object identifications as a head entity and the identification of the target object as a tail entity, or taking any one of the object identifications as a tail entity and the identification 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 triplets;
and determining a functional relationship parameter between the target object and the available shelf according to the inventory quantity corresponding to each object on the available shelf and the entity relationship of the functional relationship triplets of the power plant.
Optionally, the determining, according to the inventory quantity corresponding to each item on the available shelf and the entity relationship of the functional relationship triple of the power plant, a functional relationship parameter between the target item and the available shelf specifically includes:
calculating the product of the inventory quantity corresponding to each article on the available shelf and the entity relationship of the functional relationship triplets of the power plant;
and averaging the product calculation results of the plurality of items on the available shelf to serve as a functional relationship parameter between the target item and the available shelf.
Optionally, the power plant function 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 functional relationship triple by taking any two objects in the object list as a head entity and a tail entity respectively and taking the operating frequency coefficient of the target power plant project as an entity relationship;
and if the power plant function relationship knowledge graph has the power plant function relationship triple, accumulating the operation frequency coefficient of the target power plant project into the entity relationship of the power plant function relationship triple, otherwise, adding the power plant function relationship triple into the power plant function relationship knowledge graph.
Optionally, the determining, according to the functional relationship parameters between the target object and all available shelves, a target warehousing shelf of the target object from the available shelves in the target warehousing area specifically includes:
and selecting the available shelf with the largest functional relation parameter value in the target warehousing area as the target warehousing shelf of the target object.
Optionally, the 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 specifically includes:
determining the size grade of the target object according to the size of the target object;
and after the quantity of the electronic tags in each area in the target warehouse is sequenced, determining a target warehousing area 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 signage includes a page turning key, and the page turning key is used for switching between displaying the item identifier and the storage quantity among the plurality of items in the shelf corresponding to the electronic signage.
Optionally, the free indicator of the electronic label is used for displaying whether the corresponding shelf has space for storing the articles.
In a second aspect, an embodiment of the present invention provides a system for smart warehouse management of multi-scale objects in a power plant, where the system includes:
the object size determining module is used for acquiring the size of a target object to be put in storage;
the warehousing area determining module is used for 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; wherein each electronic label is used for recording the information of the objects on a certain row of shelves in the target warehouse;
the available goods shelf determining module is used for reading the vacant indicators in each electronic label in the target warehousing area and determining available goods shelves in the target warehousing area;
the functional relationship determining module is used for reading the object identification and the storage quantity in the electronic label corresponding to each available shelf, and calculating functional relationship parameters between the target object and each available shelf according to a pre-established power plant functional relationship knowledge graph;
and the warehousing shelf determining module is used for determining the target warehousing shelf of the target object in the available shelves in the target warehousing area according to the functional relation parameters between the target object and all the available shelves.
According to the intelligent storage management method and system for the power plant multi-scale articles, provided by the embodiment of the invention, based on the multi-scale characteristics of the articles in a power plant storage management scene, the functional relationships of different articles in power plant projects and the influence on the ex-warehouse transportation efficiency of the power plant articles, a target warehousing area is determined according to the size of the target articles, and a target warehousing shelf for warehousing the target articles is determined by pre-establishing a power plant functional relationship knowledge map and the inventory condition of shelf articles, so that the ex-warehouse transportation efficiency of the articles with similar sizes and the ex-warehouse transportation efficiency of different articles with functional relationships are improved when a plurality of articles are called by a subsequent power plant project.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the embodiments of the present application will be briefly described below.
FIG. 1 is a schematic flow chart illustrating a method for smart warehousing management of multi-scale objects in a power plant according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a method for determining functional relationship parameters according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a power plant functional relationship knowledge graph establishing method according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a power plant multi-scale object intelligent storage management system 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 numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not construed as indicating or implying relative importance.
The intelligent storage is one of important technologies in the process of storing and circulating objects, and relates to the technology that a user stores all related objects in a warehouse in a warehousing mode and effective inventory management is achieved. The existing intelligent warehousing technology is mainly oriented to general scenes, for example, articles related to the warehousing technology of supermarkets and e-commerce are mostly spare parts of different types, and various goods in a warehouse can be packaged into warehousing objects with standard sizes 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 a separate electronic label. In addition, because different warehousing objects do not have relevance, only the shortest warehousing path is realized by adopting a path planning algorithm and the warehousing efficiency is improved when warehousing.
However, the warehousing technology in the prior art does not meet the requirements of the power plant warehousing scenario. The items in the power plant warehouse have multi-scale characteristics: largest items include turbines, engines, etc.; and the smallest items include screwdrivers, nuts, and the like. When multi-scale articles in the power plant are stored, the difference of the number of the articles stored in each row of shelves is large, so that the number of the electronic tags is not determined correspondingly, and the calculation difficulty is large when the storage management is carried out; in addition, the objects in the power plant have 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 subsequently called to realize a certain function.
Therefore, in the storage management scene of the multi-scale objects in the power plant, the problem of the shortest storage path cannot be considered when the objects are stored in the storage, the efficiency problem of ex-storage transportation of the objects with similar sizes and the efficiency problem of ex-storage transportation of different objects with functional relationships in the project of the power plant need to be considered.
Based on the above, the embodiment of the invention provides a power plant multi-scale object intelligent warehousing management method and system. Fig. 1 is a schematic flow chart illustrating a method for smart storage management of multi-scale objects 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 usually stores all objects in a warehouse building, and the common warehouse building can be divided into storage structures of different levels such as floors, areas, shelves and the like. The objects in the power plant warehouse are different from the standard objects or packages of the common scene, and the largest characteristic is the multi-scale of the objects. Largest items include turbines, engines, etc.; and the smallest items include screwdrivers, nuts, and the like. The power plant warehouse building in the embodiment of the invention is divided into a plurality of areas in advance, and the size of each area can be set to be basically the same. Under the power plant storage scene, different article can carry out the processing of leaving warehouse when being called by the project, and the mode that article of different yardstick took when the calling of leaving warehouse can be different completely. Large-sized objects such as engines are generally transported out of a warehouse by using a forklift or other large-sized transportation devices; while spare parts such as a screwdriver can be transported out of a warehouse by using flexible devices such as an AGV (automatic guided vehicle) with path navigation and loading functions.
Therefore, when the multi-scale objects are exported and called in a power plant storage scene, if the objects with similar sizes are scattered and stored in different areas, the difficulty of the export and calling is greatly increased. For example, if a certain power plant project needs to call only one engine and one turbine in the warehouse, and the engine and the turbine are respectively warehoused in an area a located at the first floor of the warehouse and an area X located at the fourth floor of the warehouse, the operation difficulty of a large-scale transportation device is greatly increased; conversely, if both the engine and the turbine are warehoused in the same area or areas close to the same floor, the operating efficiency of the large-sized transportation device is obviously improved. The problem is exacerbated by the fact that a power plant application scenario may involve calling a large number of objects for a project.
In order to solve the above problem, the intelligent warehouse management method provided in the embodiment of the invention first needs to consider the size of the object when the object is warehoused. For target objects to be warehoused, size data of the objects can be rapidly acquired through scanning equipment before warehousing, and for example, multi-view visual scanning equipment can be adopted. The size of the target object is mainly used for finally determining which shelf the target object is put into the warehouse, so that the size data does not need to be very accurate, and common low-cost multi-view vision scanning equipment can estimate 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 the electronic tags in each area in the target warehouse; wherein each electronic label is used for recording the information of the objects on a certain row of shelves in the target warehouse.
After the size of the target object is obtained, the target warehousing area of the target object needs to be determined in the step. As described above, the warehouse region is artificially divided in the embodiments of the present invention, for example, the warehouse may include five floors, each floor is divided into ten regions, the entire warehouse includes fifty regions, and the area of each region is 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, as each article on a shelf is provided with one electronic label for viewing article information, the number of electronic labels on each row of shelves and the number of electronic labels in each area are also the same, and the warehouse management is very convenient. In contrast, in a power plant warehousing management scene, due to the multi-scale characteristic of the articles, the number of shelves in each area and the number of articles on each row of shelves are greatly different, so that the traditional electronic signage is difficult to manage.
The embodiment of the invention adopts a more flexible electronic label. The electronic label is not corresponding to one object, but all objects on one shelf. The electronic label comprises a page turning key, wherein the page turning key is used for switching and displaying the object identification and the storage quantity among a plurality of objects in a goods shelf corresponding to the electronic label. For each item, the electronic signage may display basic content such as identification information, inventory information, and the like of the item. In addition, the electronic label can also comprise a free indicator for displaying whether the corresponding shelf has space for storing the articles. The article information and the shelf vacancy information can also be read by the background of the warehousing 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 signs.
Therefore, when the target object is put in storage, the number of the electronic tags in each area in the storage, namely the number of the shelves in each area, can be acquired from the background of the storage management platform, and represents the overall size of the object put in storage in each area. Specifically, the size grade of the target object may be determined according to the size of the target object, and the size grade may be determined artificially, for example, the size grade is set to a grade value interval of 1 to 100 according to the sizes of the objects from small to large. Then, after the number of the electronic tags in each area in the target warehouse is sorted from high to low, the target warehousing area of the target object is determined according to the level of the target object in the grade numerical value interval according to the size grade of the target object. Therefore, the articles with similar sizes can be put into the same area as much as possible, and the transportation efficiency of subsequent article delivery is improved.
Step S130, reading the vacant indicators in each electronic label in the target warehousing area, and determining the available shelves in the target warehousing area.
After the target warehousing area of the target item is determined, it is necessary to further determine to which shelf of the target warehousing area the target item is warehoused. Since some shelves may have no empty space to store, it is first determined which shelves in the target area are available with empty space.
Since the foregoing describes that the electronic sign corresponding to each shelf in the embodiment of the present invention includes the vacant indicator for displaying whether the corresponding shelf has the space for storing the object. Therefore, the vacant indicators of all the electronic labels in the area can be read in the background of the warehousing 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 put in storage, and more precisely records the empty space of the shelves in the empty indicator, so that the available shelves can be more precisely screened according to the size of the empty space of the shelves.
And S140, reading the object identification and the storage quantity 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.
In the prior art, when the shortest transportation path needs to be considered when a plurality of objects for warehouse management are transported out of a warehouse, the shortest path only needs to be calculated from the perspective of path planning because different objects have no correlation. However, when the warehouse management of the power plant carries out warehouse-out transportation of a plurality of articles, a plurality of articles which are taken out of the warehouse in the same batch have the relevance for completing a power plant project together, so to realize the shortest warehouse-out transportation path, the articles with function relevance need to be stored to the same or similar shelves as much as possible, and thus, when a batch of articles are called by the power plant project, the efficiency of warehouse-out transportation is obviously improved.
In this step, the item identifiers and the stock quantity in the electronic tags corresponding to each of the available shelves are read, and the function relationship parameters between the target item and each of the available shelves are calculated according to the pre-established power plant function relationship knowledge graph, specifically, as shown in fig. 2, step S140 may be further subdivided into steps S141 to S143, and the specific content is as follows.
Step S141, for each of the available shelves, determining a plurality of item identifiers in the electronic label corresponding to the available shelf.
To determine an inbound shelf for a target item from a plurality of available shelves, embodiments of the present invention entail determining a functional association between the target item and each available shelf, and in particular, computing a functional association between the target item and all of the items on each available shelf. Therefore, in this step, when calculating for each available shelf, it is necessary to determine which items are on the available shelf first, and the plurality of item identifiers of the electronic tag can be read from the back stage of the warehousing management platform.
And S142, respectively taking any one of the object identifications as a head entity and the identification of the target object as a tail entity, or taking any one of the object identifications as a tail entity and the identification of the target object as a head entity, and searching and obtaining a plurality of power plant functional relationship triples in the power plant functional relationship knowledge graph.
The embodiment of the invention determines the functional relationship among the objects and is realized through a pre-established power plant functional relationship knowledge graph. The power plant function relation knowledge graph is a node of all object left and right knowledge graphs appearing in the power plant storage process. The knowledge graph is composed of a plurality of triples, wherein head entities and tail entities of the triples are identifiers of the objects, and the entity relationship of the triples is the association relationship between the objects. As shown in the attached figure 3, the power plant function relationship knowledge graph is established by the following steps:
step S310, reading an object list used in any target power plant project;
step S320, establishing a power plant functional relationship triple by taking any two objects in the object list as a head entity and a tail entity respectively and taking the operating frequency coefficient of the target power plant project as an entity relationship;
and S330, if the power plant function relationship triple exists in the power plant function relationship knowledge graph, accumulating the operation frequency coefficient of the target power plant project into the entity relationship of the power plant function relationship triple, otherwise, adding the power plant function relationship triple into the power plant function relationship knowledge graph.
As can be seen from the above steps S310 to S330, the embodiment of the invention calls the experience information of all projects in the power plant application scene when the knowledge graph is established in advance. 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 same project, the stronger the association relationship between the two objects is represented.
Therefore, all common plant projects can be traversed when the plant function relationship knowledge graph is established in advance. For each power plant project, for each two objects in the object list of the power plant project, a triplet may be established by using the identification information of the two objects as a head entity and a tail entity, and the entity relationship of the triplet may adopt the value of the operation frequency of the power plant project. The higher the operation frequency of the project is, the higher the probability that the two objects are called in the same subsequent ex-warehouse transportation is represented, so that the project has a stronger association relationship.
When the triples are established in the knowledge graph, if the triples are found to exist in the power plant functional relationship knowledge graph, de-coincidence and operation are required, namely, the head entity and the tail entity are kept unchanged, and the entity relationship values are accumulated. Therefore, when two objects appear in more object lists together, the two objects have a stronger association relationship and need to be put in storage to a closer shelf to facilitate subsequent ex-warehouse transportation.
After all common power plant projects are traversed by the method, a plurality of triples for reflecting the relation among the objects are constructed or combined, and the power plant function relation knowledge graph can be obtained by combining the triples.
Having described 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 item and the items on the available shelves. This step can use the search function of power plant functional relationship knowledge-graph, promptly with any one in a plurality of article identifications is the head entity, with the sign of target article is as the tail entity, or, with any one in a plurality of article identifications is the tail entity, with the sign of target article is as the head entity look up in the power plant functional relationship knowledge-graph and obtain a plurality of power plant functional relationship triples. If the corresponding triple is found, the target object and the object on the available shelf have a certain functional relationship; if the corresponding triple is not found, it represents that the target item has no functional relationship with the item on the available shelf.
And S143, determining a functional relationship parameter between the target object and the available shelf according to the inventory quantity corresponding to each object on the available shelf and the entity relationship of the functional relationship triple of the power plant.
After the corresponding triplets are found, it is apparent that the value of the entity relationship in the triplets is used to determine the strength of the functional relationship between the target item and the available shelf. In addition, when the transportation efficiency of the same project calling property is considered, the inventory quantity of the objects also needs to be considered, and the more the inventory quantity of the two objects is, the higher the transportation efficiency of the objects leaving the warehouse is. And the stock quantity of the articles on the shelf can be read through the stock information in the electronic label corresponding to the shelf. Therefore, according to the inventory quantity corresponding to each item on the available shelf and the entity relationship of the triad of the functional relationship of the power plant, determining the functional relationship parameter between the target item and the available shelf, namely determining the functional relationship between the target item and each item of the available shelf.
Specifically, the product of the inventory quantity corresponding to each article on the available shelf and the entity relationship of the triad of functional relationship of the power plant may be calculated, and then the product calculation results of the plurality of articles on the available shelf are averaged to be used as the functional relationship parameter between the target article and the available shelf, so as to characterize the strength of the functional relationship between the target article and the available shelf.
And S150, 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.
After the functional relationship parameters between the target object and each available shelf in the target warehousing area are obtained, the available shelf with the highest functional relationship parameter can be selected as the target warehousing shelf of the target object. In this way, the target objects are warehoused to the target area with the most matched object size, and are warehoused to the target warehousing goods shelf with the strongest functional relationship in the current area, so that the improvement of the warehouse-out transportation efficiency of the objects with similar sizes and the improvement of the warehouse-out transportation efficiency of different objects with functional relationships in power plant projects are considered.
According to the intelligent storage management method for the multi-scale articles of the power plant, provided by the embodiment of the invention, based on the multi-scale characteristics of the articles in the storage management scene of the power plant, the functional relationship of different articles in the project of the power plant and the influence of the multi-scale characteristics on the ex-warehouse transportation efficiency of the articles of the power plant, a target warehousing area is determined according to the size of the target article, and a target warehousing shelf for warehousing the target article is determined by pre-establishing a knowledge graph of the functional relationship of the power plant and the inventory condition of the shelf articles, so that the ex-warehouse transportation efficiency of the articles with similar sizes and the ex-warehouse transportation efficiency of different articles with functional relationships are improved when a plurality of articles are called by a subsequent project of the power plant.
Based on any of the above embodiments, fig. 4 shows a schematic structural diagram of a power plant multi-scale object smart storage management system according to an embodiment of the present invention, which includes the following specific contents:
an object size determining module 401, configured to obtain the size of a target object to be put in storage;
a warehousing area determining module 402, configured to determine 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 the target warehouse; wherein each electronic label is used for recording the information of the objects on a certain row of shelves in the target warehouse;
an available shelf determination module 403 for reading the vacant indicator in each electronic sign in the target warehousing area, and determining available shelves in the target warehousing area;
a functional relationship determining module 404, configured to read an object identifier and a storage quantity in the electronic tag corresponding to each available shelf, and calculate a functional relationship parameter between the target object and each available shelf according to a pre-established power plant functional relationship knowledge graph;
and the warehousing shelf determining module 405 is configured to determine a target warehousing shelf of the target object from the available shelves in the target warehousing area according to the functional relationship parameters between the target object and all the available shelves.
The intelligent storage management system for the multi-scale articles in the power plant provided by the embodiment of the invention is based on the multi-scale characteristics of the articles in the storage management scene of the power plant, the functional relationship of different articles in the power plant project and the influence on the efficiency of ex-warehouse transportation of the articles in the power plant, the target storage area is determined according to the size of the target article, and the target storage shelf for storing the target article is determined by pre-establishing the knowledge graph of the functional relationship of the power plant and the storage condition of the shelf articles, so that the ex-warehouse transportation efficiency of the articles with similar sizes and the ex-warehouse transportation efficiency of different articles with functional relationship are improved when a plurality of articles are called by a subsequent power plant project.
Based on any of the above embodiments, fig. 5 shows a schematic physical structure diagram of an electronic device provided in an embodiment of the present invention, where the electronic device may include: a processor (processor) 510, a communication Interface (Communications Interface) 520, a memory (memory) 530 and a communication bus 540, wherein the processor 510, the communication Interface 520 and the memory 530 communicate with each other via the communication bus 540. Processor 510 may call 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 the target warehouse; wherein each electronic label is used for recording the information of the objects on a certain row of shelves in the target warehouse;
reading a vacant indicator in each electronic label in the target warehousing area, and determining available shelves in the target warehousing area;
reading the object identification and the storage quantity 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;
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.
Furthermore, the logic instructions in the memory 530 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in 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), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented by a processor to perform the method provided by the foregoing 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 the target warehouse; wherein each electronic label is used for recording the information of the objects on a certain row of shelves in the target warehouse;
reading the vacant indicators in each electronic label in the target warehousing area, and determining available shelves in the target warehousing area;
reading the object identification and the storage quantity 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;
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 above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present 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 solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A power plant multi-scale object intelligent warehousing management method is characterized by comprising 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; wherein each electronic label is used for recording the information of the objects on a certain row of shelves in the target warehouse;
reading a vacant indicator in each electronic label in the target warehousing area, and determining available shelves in the target warehousing area;
reading the object identification and the storage quantity in the electronic label corresponding to each available shelf, and calculating the function relationship parameters between the target object and each available shelf according to a pre-established power plant function relationship knowledge graph;
and determining a target warehousing shelf of the target object in the available shelves in the target warehousing area according to the functional relation parameters between the target object and all the available shelves.
2. The method according to claim 1, wherein the reading of the item identifier and the inventory quantity in the electronic label corresponding to each of the available shelves and the calculating of the functional relationship parameter between the target item and each of the available shelves according to the pre-established power plant functional relationship knowledge graph specifically comprises:
for each available shelf, determining a plurality of item identifications in the electronic label corresponding to the available shelf;
respectively taking any one of the object identifications as a head entity and the identification of the target object as a tail entity, or taking any one of the object identifications as a tail entity and the identification 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 triplets;
and determining a functional relationship parameter between the target object and the available shelf according to the inventory quantity corresponding to each object on the available shelf and the entity relationship of the functional relationship triplets of the power plant.
3. The method according to claim 1, wherein the determining the functional relationship parameter between the target item and the available shelf according to the inventory quantity corresponding to each item on the available shelf and the entity relationship of the triad of functional relationships of the power plant specifically comprises:
calculating the product of the inventory quantity corresponding to each article on the available shelf and the entity relationship of the functional relationship triples of the power plant;
and averaging the product calculation results of the plurality of items on the available shelf to serve as a functional relationship parameter between the target item and the available shelf.
4. A method according to claim 1, wherein the 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 functional relationship triple by taking any two objects in the object list as a head entity and a tail entity respectively and taking the operating frequency coefficient of the target power plant project as an entity relationship;
and if the power plant function relationship knowledge graph has the power plant function relationship triple, accumulating the operation frequency coefficient of the target power plant project into the entity relationship of the power plant function relationship triple, otherwise, adding the power plant function relationship triple into the power plant function relationship knowledge graph.
5. The method according to claim 1, wherein the determining the target warehousing shelf of the target item from the available shelves in the target warehousing area according to the functional relationship parameters between the target item and all available shelves specifically comprises:
and selecting the available shelf with the maximum functional relation parameter value in the target warehousing area as the target warehousing shelf of the target object.
6. The method according to claim 1, wherein determining the target warehousing area of the target object according to the size of the target object and the number of electronic tags in each area of the target warehouse specifically comprises:
determining the size grade of the target object according to the size of the target object;
and after the quantity of the electronic tags in each area in the target warehouse is sequenced, determining a target warehousing area of the target object according to the size grade of the target object.
7. The method of claim 1, wherein the size of the target object is obtained by scanning the target object with a scanning device.
8. The method of claim 1, wherein the electronic signage includes a page key for toggling between displaying item identification and inventory quantity among a plurality of items in a shelf to which the electronic signage corresponds.
9. The method of claim 1, wherein the free indicator of the electronic sign is used to indicate whether the corresponding shelf has space for storing the item.
10. A power plant multi-scale object intelligent warehousing management system, characterized in that the system includes:
the object size determining module is used for acquiring the size of a target object to be put in storage;
the warehousing area determining module is used for 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; wherein each electronic label is used for recording the information of the objects on a certain row of shelves in the target warehouse;
the available goods shelf determining module is used for reading the vacant indicators in each electronic label in the target warehousing area and determining available goods shelves in the target warehousing area;
the functional relationship determining module is used for reading the object identification and the storage quantity in the electronic label corresponding to each available shelf, and calculating functional relationship parameters between the target object and each available shelf according to a pre-established power plant functional relationship knowledge graph;
and the warehousing shelf determining module is used for determining a target warehousing shelf of the target object in the available shelves in the target warehousing area according to the functional relation parameters between the target object and all the available shelves.
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