CN108694535B - Information generation method and device - Google Patents
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- CN108694535B CN108694535B CN201710223576.8A CN201710223576A CN108694535B CN 108694535 B CN108694535 B CN 108694535B CN 201710223576 A CN201710223576 A CN 201710223576A CN 108694535 B CN108694535 B CN 108694535B
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Abstract
The application discloses an information generation method and device. A specific embodiment of the method includes acquiring attribute information, inventory information and ex-warehouse information of an article indicated by an article identifier based on each article identifier in an article identifier set; determining whether the attribute information of the article meets a first preset condition, if so, taking the article identifier of the article as a candidate article identifier, and generating a candidate article identifier set; selecting a preset number of candidate item identifications from the candidate item identification set; generating total inventory and total ex-warehouse quantity of the candidate items with preset number based on inventory information and ex-warehouse information of the candidate items indicated by each selected candidate item identification; and determining whether the total inventory and the total ex-warehouse quantity meet a second preset condition, and if so, taking each selected candidate item identifier as a target item identifier to generate a target item identifier set. The embodiment realizes targeted information generation.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to the field of internet technologies, and in particular, to an information generation method and apparatus.
Background
Currently, an automated warehouse based on a hoist (shutdown) is generally a storage warehouse using carton packages and turnover boxes as storage media. Because the commodity storage device has the characteristic of high-density storage and is limited by the structure of a warehouse system, the commodity storage device is suitable for storing commodities with large total inventory and low warehousing and ex-warehousing frequency. That is, such a warehouse is more suitable for storing goods having a relatively low thermal marketability. Therefore, before the commodities are stored in the automatic warehouse, the commodities need to be screened to select commodities suitable for storage.
Disclosure of Invention
It is an object of the present application to provide an improved information generating method and apparatus to solve the technical problems mentioned in the background section above.
In a first aspect, an embodiment of the present application provides an information generating method, where the method includes: acquiring attribute information, inventory information and ex-warehouse information of an article indicated by the article identifier based on each article identifier in the article identifier set; for an article indicated by each article identifier in the article identifier set, determining whether attribute information of the article meets a first preset condition, if so, taking the article identifier of the article as a candidate article identifier, and generating a candidate article identifier set; selecting a preset number of candidate item identifications from the candidate item identification set; generating total inventory and total ex-warehouse quantity of the candidate items with preset number based on inventory information and ex-warehouse information of the candidate items indicated by each selected candidate item identification; and determining whether the total inventory and the total ex-warehouse quantity meet a second preset condition, and if so, taking each selected candidate item identifier as a target item identifier to generate a target item identifier set.
In some embodiments, the attribute information includes an attribute and an attribute value corresponding to the attribute, the attribute including an apparent size and a weight; and the first preset condition comprises that the minimum value of the appearance size and the value of the appearance size is not more than a preset size value and a preset height value respectively, and the value of the weight is not more than a preset weight value.
In some embodiments, the attributes further include an appearance color; and the first preset condition further comprises that the character string describing the appearance color is different from the preset character string.
In some embodiments, the ex-warehouse information comprises ex-warehouse time and ex-warehouse quantity corresponding to the ex-warehouse time; and if the first preset condition is met, taking the article identifier of the article as a candidate article identifier, wherein the steps of: if the first preset condition is met, further determining whether the maximum ex-warehouse quantity in the ex-warehouse quantities of the article corresponding to each ex-warehouse time is not greater than a preset single ex-warehouse quantity within a first preset time period, and if the maximum ex-warehouse quantity is not greater than the preset single ex-warehouse quantity, taking the article identifier of the article as a candidate article identifier.
In some embodiments, selecting a preset number of candidate item identifiers from the set of candidate item identifiers includes: and counting the ex-warehouse quantity of the candidate item indicated by each candidate item identifier in the candidate item identifier set, and selecting a preset number of candidate item identifiers from the candidate item identifier set according to the order of the ex-warehouse quantity from small to large.
In some embodiments, selecting a preset number of candidate item identifiers from the set of candidate item identifiers includes: for the candidate item indicated by each candidate item identifier in the candidate item identifier set, counting the number of times of delivery and the delivery amount of the candidate item in a second preset time period, and generating a weighted sum value of the number of times of delivery and the delivery amount of the candidate item in the second preset time period; and selecting a preset number of candidate item identifications from the candidate item identification set according to the sequence of the weighted sum values from small to large.
In some embodiments, generating a total inventory amount and a total ex-warehouse amount of a preset number of candidate items based on inventory information and ex-warehouse information of the candidate items indicated by each selected candidate item identification includes: counting the average inventory of the candidate items indicated by each selected candidate item identification in a first preset time period, and generating the total inventory of a preset number of candidate items in the first preset time period; and counting the ex-warehouse quantity of the candidate items indicated by each selected candidate item identification in each third preset time period, generating the ex-warehouse quantities of the preset number of candidate items in each third preset time period, and taking the maximum ex-warehouse quantity of the preset number of candidate items in the ex-warehouse quantities in each third preset time period as the total ex-warehouse quantity.
In some embodiments, the second predetermined condition includes that the total stock quantity is not greater than the predetermined number of cargo positions, and the total delivery quantity is not greater than the predetermined delivery quantity.
In a second aspect, an embodiment of the present application provides an information generating apparatus, including: the acquisition unit is configured to acquire attribute information, inventory information and ex-warehouse information of an article indicated by an article identifier based on each article identifier in the article identifier set; the first generation unit is configured to determine whether attribute information of each item indicated by the item identifier in the item identifier set meets a first preset condition, and if the attribute information of each item in the item identifier set meets the first preset condition, use the item identifier of the item as a candidate item identifier and generate a candidate item identifier set; the selecting unit is configured to select a preset number of candidate item identifications from the candidate item identification set; the second generation unit is used for generating the total inventory quantity and the total ex-warehouse quantity of the candidate items with the preset number based on the inventory information and the ex-warehouse information of the candidate items indicated by each selected candidate item identification; and the third generating unit is configured to determine whether the total inventory amount and the total ex-warehouse amount meet a second preset condition, and if the second preset condition is met, use each selected candidate item identifier as a target item identifier to generate a target item identifier set.
In a third aspect, an embodiment of the present application provides a server, where the server includes: one or more processors; storage means for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method as described in any implementation of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method as described in any implementation manner of the first aspect.
According to the information generation method and device provided by the embodiment of the application, firstly, a candidate item identification set is generated by determining whether attribute information of an item indicated by each item identification in the item identification set meets a first preset condition, and taking the item identification of the item meeting the first preset condition as a candidate item identification. And then selecting a preset number of candidate item identifications from the candidate item identification set, and generating a total inventory amount and a total ex-warehouse amount of the preset number of candidate items based on inventory information and ex-warehouse information of the candidate items indicated by each selected candidate item identification. And finally, determining whether the total inventory and the total ex-warehouse quantity meet a second preset condition, and if so, taking each selected candidate item identifier as a target item identifier to generate a target item identifier set. Thus, the targeted information generation can be realized.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;
FIG. 2 is a flow diagram of one embodiment of an information generation method according to the present application;
FIG. 3 is a schematic diagram of an application scenario of an information generation method according to the present application;
FIG. 4 is a flow chart of one embodiment of a method of selecting a predetermined number of candidate item identifiers according to the present application;
FIG. 5 is a schematic block diagram of one embodiment of an information generating apparatus according to the present application;
FIG. 6 is a schematic block diagram of a computer system suitable for use in implementing a server according to embodiments of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that, in the present application, the embodiments and features of the embodiments may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 illustrates an exemplary system architecture 100 to which embodiments of the information generation methods or apparatus of the present application may be applied.
As shown in fig. 1, the system architecture 100 may include user terminals 101, 102, 103, networks 104, 106, a server 105 and a database server 107. The network 104 serves as a medium for providing communication links between the user terminals 101, 102, 103 and the server 105. Network 106 serves as a medium for providing a communication link between server 105 and database server 107. The networks 104, 106 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
A user may use user terminals 101, 102, 103 to interact with a server 105 over a network 104 to receive or send messages or the like. The user terminals 101, 102, 103 may have various client applications installed thereon, such as a web browser application, a shopping-like application, video playing software, an instant messaging tool, a mailbox client, and the like.
The user terminals 101, 102, 103 may be various electronic devices capable of presenting information of the target item identification set generated by the server 105, including but not limited to smart phones, tablet computers, e-book readers, laptop portable computers, desktop computers, and the like.
The server 105 may be a server that provides various services, such as a background processing server that processes a request to generate information sent by the user terminals 101, 102, 103. The background processing server may obtain attribute information, inventory information, and ex-warehouse information of the item indicated by each item identifier in the item identifier set after receiving the information generation request, analyze and process the data, and feed back a processing result (e.g., a generated target item identifier set) to the user terminals 101, 102, and 103.
The database server 107 may be a database server for storing attribute information, stock information, and ex-warehouse information of items.
It should be noted that the information generation method provided in the embodiment of the present application is generally executed by the server 105, and accordingly, the information generation apparatus is generally provided in the server 105.
It should be understood that the number of user terminals, networks, servers and database servers in fig. 1 is merely illustrative. There may be any number of user terminals, networks, servers, and database servers, as desired for implementation. When the server 105 stores the attribute information, the stock information, and the delivery information of the article, the system architecture 100 may not be provided with the database server 107.
With continued reference to FIG. 2, a flow 200 of one embodiment of an information generation method according to the present application is shown. The information generation method comprises the following steps:
In this embodiment, the electronic device (for example, the server 105 shown in fig. 1) on which the information generating method operates may obtain, based on each item identifier in the set of item identifiers, attribute information, inventory information, and ex-warehouse information of an item indicated by the item identifier from another electronic device (for example, the database server 107 shown in fig. 1) through a wired connection manner or a wireless connection manner. It is understood that the electronic device may also obtain attribute information, inventory information, and ex-warehouse information of the article from a local place. The specific storage location of such information is not a limitation of the present application. The item identification set may be transmitted to the electronic device by a user through a user terminal, or may be stored in the electronic device in advance.
In this embodiment, the item identifier may include (but is not limited to) a name, a cargo number, or a serial number of the item. The attribute information may include, but is not limited to, the production location, type, size, or raw material of the article, etc. The inventory information may include the time of warehousing, the amount of warehousing, the location of storage, etc. of the items. The ex-warehouse information can comprise ex-warehouse positions, ex-warehouse quantities, ex-warehouse personnel information and the like. It should be noted that the method for counting the inventory information and the ex-warehouse information is not limited in the present application. For example, dividing the total stock of a certain article for three consecutive months by the number of months (three) is the stock of the article in one month. For example, dividing the total delivery volume of a certain article for three consecutive months by the number of months (three) is the delivery volume of the article in one month.
In some optional implementations of this embodiment, the ex-warehouse information may include ex-warehouse time and ex-warehouse volume. At this time, all orders in one hour can be used as a collection list, so that the ex-warehouse information of each item in the collection list can be counted. The completion time of the collection list is the delivery time of each article, and the quantity of each article in the collection list is the delivery quantity of each article.
In this embodiment, based on the attribute information of the article indicated by each article identifier obtained in step 201, the electronic device may compare the attribute information of the article with a first preset condition, so as to determine whether the attribute information of the article meets the first preset condition. If the first preset condition is met, the electronic device may use the item identifier of the item as a candidate item identifier, and generate a candidate item identifier set from the candidate item identifier. Wherein the first preset condition may be a condition related to the attribute information. For example, the attribute information includes a production place (beijing), and the first preset condition is that the production place is beijing, china. At this time, the production place of the article is the same as that in the first preset condition, and the description attribute information satisfies the first preset condition.
In some optional implementations of this embodiment, the attribute information may include an attribute and an attribute value corresponding to the attribute. For example, the attributes may include an apparent size and weight. And the first preset condition may include that a minimum value of the apparent size and the value of the apparent size is not greater than a preset size value and a preset height value, respectively, and the value of the weight is not greater than a preset weight value. Optionally, the attribute may also include an appearance color. At this time, the first preset condition may further include that the character string describing the appearance color is different from the preset character string. The character string may be at least one of letters, numbers, or letters, for example, C15M100Y20K0 represents Magenta or Magenta in a print Color Mode (CMYK).
Optionally, when the warehouse-out information includes warehouse-out time and warehouse-out amount corresponding to the warehouse-out time, after determining that the attribute information of the item satisfies the first preset condition, the electronic device may further determine whether a maximum warehouse-out amount of the warehouse-out amounts of the item corresponding to each warehouse-out time is not greater than a preset single warehouse-out amount within a first preset time period. If the quantity is not larger than the preset single-time ex-warehouse quantity, the item identification of the item can be used as the candidate item identification. For example, the ex-warehouse information of a certain article in 3 months and 22 days comprises 10 pieces at 10:00 ex-warehouse, 10 pieces at 11:00 ex-warehouse and 15 pieces at 14:00 ex-warehouse. Then the maximum of the delivery amounts of the item corresponding to each delivery time during the day is 15. And comparing 15 with a preset single ex-warehouse quantity. Therefore, each article can not occupy too much time when being taken out of the warehouse, thereby reducing the occurrence of the situation that other articles are in the waiting state for being taken out of the warehouse due to the long time for taking out individual articles, and leading each article to be taken out of the warehouse smoothly.
In this embodiment, the electronic device may randomly select a preset number of candidate item identifiers from the candidate item identifier set. It can be understood that the specific selection method can be set according to actual requirements, and the application is not limited.
In some optional implementation manners of this embodiment, the electronic device may further count the ex-warehouse quantity of the candidate item indicated by each candidate item identifier in the candidate item identifier set based on the ex-warehouse quantity in the ex-warehouse information, and then select a preset number of candidate item identifiers from the candidate item identifier set according to a descending order of the ex-warehouse quantity. For example, according to the ex-warehouse quantity of each candidate item within one month, the candidate item identifications of each candidate item are sorted in the order from small to large according to the ex-warehouse quantity. Then, a preset number of candidate item identifications are extracted from the side with small delivery quantity. Reference is also made to fig. 4, which shows a flow chart of an embodiment of a method for selecting a predetermined number of candidate item identifiers.
And step 204, generating the total inventory quantity and the total ex-warehouse quantity of the candidate items with the preset number based on the inventory information and the ex-warehouse information of the candidate items indicated by each selected candidate item identification.
In this embodiment, the electronic device may add the inventory amounts of the candidate items within one month based on the inventory amount in the inventory information and the ex-warehouse amount in the out-warehouse information of the candidate item indicated by each candidate item identification selected in step 203, thereby generating the total inventory amount of the candidate items, and add the ex-warehouse amounts within one month of the candidate items, thereby generating the total ex-warehouse amount of the candidate items.
In some optional implementation manners of this embodiment, the electronic device may first count an average inventory amount of the candidate items indicated by each selected candidate item identifier in a first preset time period, and generate a total inventory amount of a preset number of candidate items in the first preset time period. Then, the electronic device may count the ex-warehouse quantity of the candidate item indicated by each candidate item identifier selected in each third preset time period, generate the ex-warehouse quantities of the preset number of candidate items in each third preset time period, and take the maximum ex-warehouse quantity of the preset number of candidate items in the ex-warehouse quantities in each third preset time period as the total ex-warehouse quantity. For example, the stock removal amounts of the three candidate items at 8:00-8:59, A, B and C are 1, 2 and 3, respectively, when the stock removal amounts of the three candidate items at 8:00-8:59 are 6. The warehouse-out quantity of the three candidate items is 2, 3 and 4 respectively at 9:00-9:59, A, B and C, and the warehouse-out quantity of the three candidate items is 9 at 9:00-9: 59. The total shipment of the three candidate items over the one hour period is 9.
In this embodiment, the electronic device may compare the total stock quantity and the total stock-out quantity with a second preset condition to determine whether the second preset condition is satisfied. If the total inventory and the total ex-warehouse quantity meet a second preset condition, the electronic device may use each selected candidate item identifier as a target item identifier to generate a target item identifier set. Wherein the second preset condition is a condition relating to the total stock quantity and the total stock discharge quantity. For example, the total stock quantity and the total stock discharge are 200 pieces and 180 pieces, respectively, and the second preset condition is that the total stock quantity and the total stock discharge are not larger than the preset stock quantity (for example, 150 pieces).
In some optional implementations of this embodiment, the second preset condition may include that the total stock quantity is not greater than the preset number of cargo positions, and the total delivery quantity is not greater than the preset delivery quantity. It will be appreciated that in the storage of items, it is often necessary to place the items within the cargo box. At this time, the electronic device may determine the number of containers required to store each candidate item according to the external dimension of each candidate item and the internal dimension of each container. If each cargo space stores one container, the electronic device may compare the total number of containers with a predetermined cargo space number to determine whether the total inventory amount is not greater than the predetermined cargo space number. Similarly, when determining whether the total delivery amount is not greater than the preset delivery amount, it can be determined by counting the number of containers.
It can be understood that, after both the total inventory amount and the total ex-warehouse volume satisfy the second preset condition, the electronic device may continue to execute step 204, select a second preset number of candidate item identifiers from the remaining candidate item identifiers in the candidate item identifier set, generate the total inventory amount and the total ex-warehouse volume of the preset number of candidate items plus the second preset number of candidate items, and determine whether the total inventory amount and the total ex-warehouse volume at this time satisfy the second preset condition. Until one of the total inventory quantity and the total ex-warehouse quantity does not meet the second preset condition.
According to the information generation method provided by the embodiment of the application, firstly, a candidate item identification set is generated by determining whether attribute information of an item indicated by each item identification in the item identification set meets a first preset condition, and taking the item identification of the item meeting the first preset condition as a candidate item identification. And then selecting a preset number of candidate item identifications from the candidate item identification set, and generating the total inventory and the total ex-warehouse quantity of the preset number of candidate items based on the inventory information and the ex-warehouse information of the candidate items indicated by each selected candidate item identification. And finally, determining whether the total inventory and the total ex-warehouse quantity meet a second preset condition, and if so, taking each selected candidate item identifier as a target item identifier to generate a target item identifier set. Thus, the targeted information generation can be realized.
With continued reference to fig. 3, fig. 3 is a schematic diagram of an application scenario of the information generation method according to the embodiment of the present application.
In the application scenario of fig. 3, a user may filter commodities suitable for being stored in the automated warehouse according to information generated by the information generation method in the embodiment of the present application. First, the server 31 acquires attribute information, stock information, and ex-stock information of the product indicated by the product identifier, based on each product identifier in the product identifier set 311. Wherein the attribute information includes a length, width, height, color, and weight of the item. The stock information includes the stock amount of the commodity for one month (i.e., the product of the number of days 30 and the daily average stock amount of the commodity, which is the total stock amount per month/number of stock storage days). The ex-warehouse information comprises the ex-warehouse quantity of the commodity for one month (comprising at least one ex-warehouse time and the ex-warehouse quantity at the at least one ex-warehouse time).
The server 31 then determines whether the attribute information of the commodity satisfies a first preset condition, that is: whether the length, width and height are not larger than the inner size of the turnover box, whether the color is different from the color of the turnover box (convenient for identifying the commodity), whether the minimum size of the three sizes is within the maximum movable range of the picking robot, and whether the weight is within the maximum bearing range of the picking robot (convenient for picking the commodity). In addition, the server 31 determines whether the maximum delivery amount of the delivery amounts of the product at each delivery time is not more than a preset single delivery amount (for example, 20 boxes) based on the delivery information of the product. If the above conditions are all satisfied, the server 31 may take the product identifier of the product as a candidate product identifier, and generate a candidate product identifier set 312.
The server 31 may then select a certain number of candidate goods identifications from the candidate goods identification set 312 (e.g., starting from the candidate goods identification of the candidate goods with the lowest inventory quantity), and determine whether the total inventory quantity and the total inventory quantity of the candidate goods indicated by all the selected candidate goods identifications satisfy a second preset condition, that is: the total stock is not more than the number of goods positions of the automatic warehouse, and the total delivery volume is not more than the preset delivery volume. The preset delivery rate may include an hourly delivery rate of a lift (shunt) and an hourly picking rate of a picking robot. If the second preset condition is satisfied, the server 31 may use all the selected candidate product identifiers as the target product identifiers, and generate the target product identifier set 313. When the user needs to select a commodity suitable for storage in the automated warehouse, the user may filter the commodity according to the information of the target commodity identification set 313 acquired from the server 31 and displayed on the client 32.
With further reference to fig. 4, a flow 400 of one embodiment of the method of selecting a predetermined number of candidate item identifiers of the present application is shown. The process 400 includes the following steps:
In this embodiment, for a candidate item indicated by each candidate item identifier in the candidate item identifier set, the electronic device (for example, the server 105 shown in fig. 1) may count the number of times the candidate item is taken out and the amount of the candidate item taken out within a second preset time period based on the information about the candidate item taken out, so as to generate a weighted sum of the number of times the candidate item is taken out and the amount of the candidate item taken out within the second preset time period. For example, the warehouse-out times are 4 times within three months, and 10 warehouse-out times are 4 times, and the weight of the warehouse-out times and the warehouse-out quantity is 2 and 1 respectively. Then the weighted sum of the number of times the candidate item has been delivered and the amount delivered over the three months is 18.
In this embodiment, based on the weighted sum of each candidate item generated in step 401, the electronic device may select a preset number of candidate item identifiers from the candidate item identifier set according to the ascending order of the weighted sum. As an example, a preset number of candidate item identifiers may be randomly or sequentially selected from the side where the weighted sum value is small.
By the method for selecting the preset number of candidate item identifiers in the embodiment, the weighted sum value of the candidate items corresponding to the selected candidate item identifiers is relatively small. That is, it can be stated that these candidate items are relatively low in thermal marketability and therefore more suitable for storage in automated warehouses. The applicability of the generated information can be further improved.
With further reference to fig. 5, the present application provides one embodiment of an information generating apparatus as an implementation of the methods illustrated in the above figures. The embodiment of the device corresponds to the embodiment of the method shown in fig. 2, and the device can be applied to various electronic devices.
As shown in fig. 5, the information generating apparatus 500 of the present embodiment may include: an acquisition unit 501, a first generation unit 502, a selection unit 503, a second generation unit 504, and a third generation unit 505. The acquiring unit 501 is configured to acquire attribute information, inventory information, and ex-warehouse information of an item indicated by an item identifier based on each item identifier in an item identifier set; a first generating unit 502, configured to determine, for an item indicated by each item identifier in the item identifier set, whether attribute information of the item satisfies a first preset condition, and if the attribute information satisfies the first preset condition, take the item identifier of the item as a candidate item identifier, and generate a candidate item identifier set; a selecting unit 503 configured to select a preset number of candidate item identifiers from the candidate item identifier set; a second generating unit 504 configured to generate a total inventory amount and a total ex-warehouse amount of a preset number of candidate items based on inventory information and ex-warehouse information of the candidate items indicated by each selected candidate item identification; a third generating unit 505, configured to determine whether the total inventory amount and the total warehouse-out amount satisfy a second preset condition, and if the second preset condition is satisfied, take each selected candidate item identifier as a target item identifier, and generate a target item identifier set.
In this embodiment, specific implementation manners and advantageous effects of the obtaining unit 501, the first generating unit 502, the selecting unit 503, the second generating unit 504, and the third generating unit 505 may respectively refer to relevant descriptions of step 201, step 202, step 203, step 204, and step 205 in fig. 2, and are not described herein again.
In some optional implementations of this embodiment, the attribute information includes an attribute and an attribute value corresponding to the attribute, and the attribute may include an appearance size and a weight; and the first preset condition may include that a minimum value of the appearance size and the value of the appearance size is not greater than a preset size value and a preset height value, respectively, and the value of the weight is not greater than a preset weight value.
In some optional implementations of this embodiment, the attribute may further include an appearance color; and the first preset condition further comprises that the character string describing the appearance color is different from the preset character string.
In some optional implementation manners of this embodiment, the ex-warehouse information includes ex-warehouse time and ex-warehouse quantity corresponding to the ex-warehouse time; and the first generating unit 502 may be further configured to: if the first preset condition is met, further determining whether the maximum ex-warehouse quantity in the ex-warehouse quantities of the article corresponding to each ex-warehouse time is not greater than a preset single ex-warehouse quantity within a first preset time period, and if the maximum ex-warehouse quantity is not greater than the preset single ex-warehouse quantity, taking the article identifier of the article as a candidate article identifier.
In some optional implementations of this embodiment, the selecting unit 503 may be further configured to: and counting the ex-warehouse quantity of the candidate item indicated by each candidate item identifier in the candidate item identifier set, and selecting a preset number of candidate item identifiers from the candidate item identifier set according to the order of the ex-warehouse quantity from small to large.
In some optional implementations of this embodiment, the selecting unit 503 may be further configured to: for candidate items indicated by each candidate item identifier in the candidate item identifier set, counting the ex-warehouse times and the ex-warehouse quantity of the candidate items in a second preset time period, and generating a weighted summation value of the ex-warehouse times and the ex-warehouse quantity of the candidate items in the second preset time period; and selecting a preset number of candidate item identifications from the candidate item identification set according to the sequence of the weighted sum values from small to large.
In some optional implementations of this embodiment, the second generating unit 504 may be further configured to: counting the average inventory of the candidate items indicated by each selected candidate item identification in a first preset time period to generate the total inventory of a preset number of candidate items in the first preset time period; and counting the ex-warehouse quantity of the candidate items indicated by each selected candidate item identification in each third preset time period, generating the ex-warehouse quantities of the preset number of candidate items in each third preset time period, and taking the maximum ex-warehouse quantity of the preset number of candidate items in the ex-warehouse quantities in each third preset time period as the total ex-warehouse quantity.
In some optional implementation manners of the embodiment, the second preset condition may include that the total inventory amount is not greater than the preset number of the stock levels, and the total warehouse-out amount is not greater than the preset conveying amount.
Referring now to FIG. 6, shown is a block diagram of a computer system 600 suitable for use in implementing a server according to embodiments of the present application. The server shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program performs the above-described functions defined in the method of the present application when executed by a Central Processing Unit (CPU) 601. It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a first generation unit, a selection unit, a second generation unit, and a third generation unit. Where the names of the units do not in some cases constitute a limitation on the units themselves, for example, the acquiring unit may also be described as "a unit that acquires attribute information, stock information, and ex-warehouse information of an item indicated by an item identification based on each item identification in the set of item identifications".
As another aspect, the present application also provides a computer-readable medium, which may be contained in the server described in the above embodiments; or may exist separately and not be assembled into the server. The computer readable medium carries one or more programs which, when executed by the server, cause the server to: acquiring attribute information, inventory information and ex-warehouse information of an article indicated by the article identifier based on each article identifier in the article identifier set; determining whether attribute information of each article indicated by each article identifier in the article identifier set meets a first preset condition, and if so, taking the article identifier of the article as a candidate article identifier to generate a candidate article identifier set; selecting a preset number of candidate item identifications from the candidate item identification set; generating total inventory and total ex-warehouse quantity of the candidate items with preset number based on inventory information and ex-warehouse information of the candidate items indicated by each selected candidate item identification; and determining whether the total inventory and the total ex-warehouse quantity meet a second preset condition, and if so, taking each selected candidate item identifier as a target item identifier to generate a target item identifier set.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements in which any combination of the features described above or their equivalents does not depart from the spirit of the invention disclosed above. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (10)
1. An information generating method, characterized in that the method comprises:
acquiring attribute information, inventory information and ex-warehouse information of an article indicated by the article identifier based on each article identifier in the article identifier set;
determining whether attribute information of each article indicated by the article identifier in the article identifier set meets a first preset condition, and if so, taking the article identifier of the article as a candidate article identifier to generate a candidate article identifier set;
selecting a preset number of candidate item identifiers from the candidate item identifier set, specifically including: counting the ex-warehouse quantity of the candidate article indicated by each candidate article identifier in the candidate article identifier set in a preset time period, sequencing each candidate article identifier from the candidate article identifier set according to the sequence of the ex-warehouse quantity from small to large, and selecting a preset number of candidate article identifiers from the side with the minimum ex-warehouse quantity;
generating total inventory and total ex-warehouse quantity of the candidate items with preset number based on inventory information and ex-warehouse information of the candidate items indicated by each selected candidate item identification;
and determining whether the total inventory and the total ex-warehouse quantity meet a second preset condition, and if so, taking each selected candidate item identifier as a target item identifier to generate a target item identifier set.
2. The method according to claim 1, wherein the attribute information includes an attribute and an attribute value corresponding to the attribute, the attribute including an appearance size and a weight; and
the first preset condition comprises that the minimum value of the appearance size and the value of the appearance size is not more than a preset size value and a preset height value respectively, and the value of the weight is not more than a preset weight value.
3. The method of claim 2, wherein the attributes further comprise an appearance color; and
the first preset condition further comprises that a character string describing the appearance color is different from a preset character string.
4. The method according to claim 1, wherein the ex-warehouse information includes ex-warehouse time and ex-warehouse quantity corresponding to the ex-warehouse time; and
if the first preset condition is met, taking the article identifier of the article as a candidate article identifier, including:
if the first preset condition is met, further determining whether the maximum ex-warehouse quantity in the ex-warehouse quantities of the article corresponding to each ex-warehouse time is not greater than a preset single ex-warehouse quantity within a first preset time period, and if the maximum ex-warehouse quantity is not greater than the preset single ex-warehouse quantity, taking the article identifier of the article as a candidate article identifier.
5. The method of claim 1, wherein selecting a preset number of candidate item identifiers from the set of candidate item identifiers comprises:
for the candidate item indicated by each candidate item identifier in the candidate item identifier set, counting the number of times of delivery and the delivery amount of the candidate item in a second preset time period, and generating a weighted sum value of the number of times of delivery and the delivery amount of the candidate item in the second preset time period;
and selecting a preset number of candidate item identifications from the candidate item identification set according to the sequence of the weighted sum values from small to large.
6. The method according to claim 4, wherein the generating of the total inventory and the total warehouse-out quantity of the preset number of candidate items based on the inventory information and the warehouse-out information of the candidate items indicated by each selected candidate item identification comprises:
counting the average inventory of the candidate items indicated by each selected candidate item identification in the first preset time period to generate the total inventory of a preset number of candidate items in the first preset time period;
and counting the ex-warehouse quantity of the candidate items indicated by each selected candidate item identification in each third preset time period, generating the ex-warehouse quantities of the preset number of candidate items in each third preset time period, and taking the maximum ex-warehouse quantity of the preset number of candidate items in the ex-warehouse quantities in each third preset time period as the total ex-warehouse quantity.
7. The method according to any one of claims 1 to 6, wherein the second predetermined condition includes that the total stock amount is not more than the predetermined number of the stock levels and the total delivery amount is not more than the predetermined delivery amount.
8. An information generating apparatus, characterized in that the apparatus comprises:
the acquisition unit is configured to acquire attribute information, inventory information and ex-warehouse information of an article indicated by an article identifier based on each article identifier in the article identifier set;
the first generation unit is configured to determine, for an article indicated by each article identifier in the article identifier set, whether attribute information of the article satisfies a first preset condition, and if the attribute information satisfies the first preset condition, use the article identifier of the article as a candidate article identifier to generate a candidate article identifier set;
a selecting unit configured to select a preset number of candidate item identifiers from the candidate item identifier set, wherein the selecting unit is further configured to: counting the ex-warehouse quantity of the candidate article indicated by each candidate article identifier in the candidate article identifier set within a preset time period, sequencing each candidate article identifier from the candidate article identifier set according to the descending order of the ex-warehouse quantity, and selecting a preset number of candidate article identifiers from the side with the minimum ex-warehouse quantity;
the second generation unit is used for generating the total inventory quantity and the total ex-warehouse quantity of the candidate items with the preset number based on the inventory information and the ex-warehouse information of the candidate items indicated by each selected candidate item identification;
and the third generating unit is configured to determine whether the total inventory amount and the total ex-warehouse amount meet a second preset condition, and if the second preset condition is met, use each selected candidate item identifier as a target item identifier to generate a target item identifier set.
9. A server, comprising:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method as recited in any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to one of claims 1 to 7.
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| CN112329968A (en) * | 2019-11-08 | 2021-02-05 | 北京京东尚科信息技术有限公司 | Resource allocation method, device and storage medium |
| CN111144985A (en) * | 2019-12-24 | 2020-05-12 | 北京每日优鲜电子商务有限公司 | Unit transfer value adjusting method, unit transfer value adjusting device, computer equipment and storage medium |
| CN113313438A (en) * | 2020-02-26 | 2021-08-27 | 北京京东振世信息技术有限公司 | Method and device for generating ex-warehouse form |
| CN111985967A (en) * | 2020-08-17 | 2020-11-24 | 北京每日优鲜电子商务有限公司 | Article information generation method and device, electronic equipment and computer readable medium |
| CN112085441A (en) * | 2020-08-27 | 2020-12-15 | 北京每日优鲜电子商务有限公司 | Information generation method and device, electronic equipment and computer readable medium |
| CN113327085B (en) * | 2021-06-28 | 2023-09-26 | 北京京东振世信息技术有限公司 | Logistics attribute information anomaly monitoring method and device for articles |
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