CN113393190B - Warehouse information processing method and device, electronic equipment and readable medium - Google Patents

Warehouse information processing method and device, electronic equipment and readable medium Download PDF

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CN113393190B
CN113393190B CN202110648850.2A CN202110648850A CN113393190B CN 113393190 B CN113393190 B CN 113393190B CN 202110648850 A CN202110648850 A CN 202110648850A CN 113393190 B CN113393190 B CN 113393190B
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CN113393190A (en
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孟欣
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Beijing Jingdong Zhenshi Information Technology Co Ltd
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Beijing Jingdong Zhenshi Information Technology Co Ltd
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G06F16/2282—Tablespace storage structures; Management thereof

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Abstract

The embodiment of the disclosure provides a warehouse information processing method, a device, an electronic device and a readable medium, wherein the method comprises the following steps: acquiring at least one alternative dimension value of a target user in N target dimensions, wherein the N target dimensions comprise q n A plurality of candidate dimension values; generating from at least one candidate dimension value in N target dimensionsA first warehouse information table under the dimension combination; receiving a target request, wherein the target request comprises a target dimension value under each target dimension; according to a target dimension value in each target dimensionDetermining a second storage information table from the first storage information tables; and determining a target warehouse information value of the target request according to the second warehouse information table so as to send the target warehouse information value to the target user. According to the technical scheme provided by the embodiment of the disclosure, different services of the warehouse service are subjected to abstract combination according to different dimensions, so that the diversity of the warehouse service can be met, and the target warehouse information value can be rapidly generated for maintaining warehouse information.

Description

Warehouse information processing method and device, electronic equipment and readable medium
Technical Field
The disclosure relates to the technical field of warehouse intelligent management, in particular to a warehouse information processing method, a device, electronic equipment and a computer readable medium.
Background
In the application scenario of warehouse management, the core role of warehouse services is the core link of the supply chain. For a warehouse network formed by a plurality of warehouses in each place, because different warehouses have different specifications and attributes and applicable warehouse conditions are different (for example, different temperature layers), the management rules of warehouse information are necessarily different.
In the increasingly developed process of logistics industry, warehouses are no longer single audiences and users, and warehouse attributes are gradually diversified when facing different audiences and users. Warehouse services will face a wide variety of businesses. In the face of complex and changeable businesses, how to conveniently maintain warehouse information is a problem to be solved.
Accordingly, there is a need for a new warehouse information processing method, apparatus, electronic device, and computer readable medium.
The above information disclosed in the background section is only for enhancement of understanding of the background of the present disclosure.
Disclosure of Invention
In view of this, embodiments of the present disclosure provide a warehouse information processing method, apparatus, electronic device, and computer readable medium, which can abstract and combine different services of a warehouse service according to different dimensions, so as to satisfy diversity of the warehouse service, and facilitate rapid generation of a target warehouse information value for maintaining warehouse information.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
According to a first aspect of an embodiment of the present disclosure, a method for processing warehouse information is provided, including: acquiring at least one alternative dimension value of a target user in N target dimensions, wherein the nth target dimension comprises q n The number of the dimension values is equal to or more than 0, N is the number of the target dimensions, and N is an integer which is equal to or more than 0 and less than or equal to N; generating from at least one candidate dimension value in the N target dimensionsA first warehouse information table under the dimension combination; receiving a target request of the target user, wherein the target request comprises a target dimension value under each target dimension; according to a target dimension value in each target dimension +.>Determining a second storage information table from the first storage information tables; and determining a target warehouse information value of the target request according to the second warehouse information table so as to send the target warehouse information value to the target user.
In one exemplary embodiment of the present disclosure, the method comprises the steps of Determining a second warehouse information table in the first warehouse information tables comprises: will->A dimension combination matched with N target dimension values in the N target dimensions is determined as a target dimension combination; and determining the first storage information table under the target dimension combination as the second storage information table.
In one exemplary embodiment of the present disclosure, the generation is based on at least one candidate dimension value in the N target dimensionsThe first warehouse information table under the individual dimension combination comprises: for q in the 1 st target dimension 1 Q at the nth target dimension from the value of the candidate dimension N The individual alternative dimension values are combined to form +.>Combining the dimensions; determining a target unit and at least one target ladder under each dimension combination; acquiring target contract information of the target user, wherein the target contract information comprises a target type and a target unit value under the at least one target ladder; and generating a first warehouse information table under each dimension combination according to the target type, the target unit, at least one target ladder and the target unit value under at least one target ladder of each dimension combination.
In one exemplary embodiment of the present disclosure, determining the target warehouse information value of the target request from the second warehouse information table includes: determining a matching type according to the target type of the second warehouse information table; determining a target element value according to the target unit; and determining a target warehouse information value of the target request according to the target element value and the target type.
In one exemplary embodiment of the present disclosure, determining the target element value from the target type includes: if the matching type is a ladder type, determining the historical single quantity or turnover days of the target user as the target element value; and if the matching type is a stage type, determining the date information in the target request as the target element value.
In one exemplary embodiment of the present disclosure, determining the target warehouse information value of the target request from the target element value and the target type includes: determining matching steps in the at least one target step according to the target element value, wherein each matching step comprises an initial starting value and an initial cut-off value; determining a target starting value and a target cut-off value under each matching ladder according to the target element value, the initial starting value and the initial cut-off value of each matching ladder; determining a target ladder value under each matching ladder according to the target starting value and the target cut-off value under each matching ladder; and determining the target warehouse information value according to the weighted sum value of the target step value and the target unit value under each matched step.
In an exemplary embodiment of the present disclosure, the method further comprises: the target warehouse information value is sent to the target user; and receiving virtual currency transaction completion information of the target user responding to the target storage information value so as to execute the receiving flow of the storage goods of the target user according to the virtual currency transaction completion information.
According to a second aspect of the embodiments of the present disclosure, there is provided a warehouse information processing apparatus, including: an alternative dimension acquisition module configured to acquire at least one alternative dimension value of the target user in N target dimensions, where the N target dimensions include q n The N is an integer greater than 0, N is the targetThe number of target dimensions, N, is an integer greater than 0 and less than or equal to N; a first warehouse information table generation module configured to generate at least one candidate dimension value according to the N target dimensionsA first warehouse information table under the dimension combination; a target request receiving module configured to receive a target request of the target user, the target request including a target dimension value in each target dimension; a second warehouse information table determining module configured to determine a target dimension value according to each target dimension>Determining a second storage information table from the first storage information tables; and the warehouse information value calculation module is configured to determine a target warehouse information value of the target request according to the second warehouse information table so as to send the target warehouse information value to the target user.
In one exemplary embodiment of the present disclosure, the second warehouse information table determination module includes: a target dimension combination determination unit configured to A dimension combination matched with N target dimension values in the N target dimensions is determined as a target dimension combination; and the second storage information table determining unit is configured to determine the first storage information table under the target dimension combination as the second storage information table.
In one exemplary embodiment of the present disclosure, the first warehouse information table generation module includes: a dimension combination unit configured to, for q in the 1 st target dimension 1 Q at the nth target dimension from the value of the candidate dimension N Combining the individual candidate dimension values to generateCombining the dimensions; a dimension combination information determining unit configured to determine the object under each dimension combinationA unit and at least one target ladder; a target contract information acquisition unit configured to acquire target contract information of the target user, the target contract information including a target type and a target unit value under the at least one target ladder; the first warehouse information table generating unit is configured to generate a first warehouse information table under each dimension combination according to the target type, the target unit, at least one target ladder and a target unit value under at least one target ladder of each dimension combination.
In one exemplary embodiment of the present disclosure, the warehouse information value calculation module includes: the matching type determining unit is configured to determine a matching type according to the target type of the second warehouse information table; a target element value determining unit configured to determine a target element value from the target unit; and the warehouse information value calculation unit is configured to determine a target warehouse information value of the target request according to the target element value and the target type.
In one exemplary embodiment of the present disclosure, the target element value determining unit includes: a first target element value determining subunit configured to determine, as the target element value, a history list amount or a turnover number of days of the target user if the matching type is a ladder type; and a second target element value determining subunit configured to determine, if the matching type is a stage type, date information in the target request as the target element value.
In one exemplary embodiment of the present disclosure, the warehouse information value calculation unit includes: a matching ladder determination subunit configured to determine matching ladders in the at least one target ladder according to the target element value, each matching ladder including an initial start value and an initial cutoff value; a matching ladder calculation subunit configured to determine a target start value and a target cutoff value under each matching ladder according to the target element value, the initial start value and the initial cutoff value of each matching ladder; a target step value calculation subunit configured to determine a target step value under each matching step according to the target start value and the target cut-off value under each matching step; and the warehouse information value calculating subunit is configured to determine the target warehouse information value according to the weighted sum value of the target step value and the target unit value under each matched step.
In an exemplary embodiment of the present disclosure, the warehouse information processing device further includes: the warehouse information value sending module is configured to send the target warehouse information value to the target user; and the goods receiving module is configured to receive the virtual currency transaction completion information of the target user responding to the target storage information value so as to execute the receiving flow of the storage goods of the target user according to the virtual currency transaction completion information.
According to a third aspect of embodiments of the present disclosure, there is provided an electronic device including: one or more processors; a storage means for storing one or more programs; the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the warehouse information processing method of any of the above.
According to a fourth aspect of the embodiments of the present disclosure, a computer readable medium is provided, on which a computer program is stored, which program, when being executed by a processor, implements a warehouse information processing method as described in any one of the above.
Warehouse information processing methods, apparatuses, electronic devices, and computer readable media provided according to certain embodiments of the present disclosure, for a specified target user, generate, by at least one candidate dimension value of the target user in N target dimensions The first warehouse information table under the individual dimension combination can abstract different services into different sets and generate +.f. capable of meeting the requirements of target users>A first warehouse information table under the dimension combination. When a target request of a target user is received, a second storage information table can be quickly obtained by matching the first storage information table according to a target dimension value in the target request, and the second storage information table is quickAnd acquiring a target warehouse information value for the corresponding target request according to the second warehouse information table. According to the technical scheme provided by the embodiment of the disclosure, different services of the warehouse service are subjected to abstract combination according to different dimensions, so that the diversity of the warehouse service can be met, and the target warehouse information value can be rapidly generated for maintaining warehouse information.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. The drawings described below are merely examples of the present disclosure and other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
Fig. 1 is a system block diagram illustrating a warehouse information processing method and apparatus according to an exemplary embodiment.
Fig. 2 is a flow chart illustrating a warehouse information processing method according to an exemplary embodiment.
Fig. 3 is a flowchart illustrating a warehouse information processing method according to an exemplary embodiment.
Fig. 4 is a flowchart illustrating a warehouse information processing method according to an exemplary embodiment.
FIG. 5 is a schematic diagram of target dimensions shown according to an example embodiment.
FIG. 6 is a block diagram illustrating the composition of a ladder offer according to an exemplary embodiment.
FIG. 7 is a schematic diagram of a discount approach shown according to an example embodiment.
Fig. 8 is a block diagram illustrating a warehouse information processing device, according to an exemplary embodiment.
Fig. 9 schematically illustrates a block diagram of an electronic device in an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted.
The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the invention. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the invention.
The drawings are merely schematic illustrations of the present invention, in which like reference numerals denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
The flow diagrams depicted in the figures are exemplary only, and not necessarily all of the elements or steps are included or performed in the order described. For example, some steps may be decomposed, and some steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
The following describes example embodiments of the invention in detail with reference to the accompanying drawings.
Fig. 1 is a system block diagram illustrating a warehouse information processing method and apparatus according to an exemplary embodiment.
In the system 100 of the warehouse information processing method and apparatus, the server 105 may be a server providing various services, such as a background management server (merely an example) that provides support for a warehouse information processing system operated by a user using the terminal devices 101, 102, 103 through the network 104. The background management server may analyze and process the received data, such as the warehouse information processing request, and feed back the processing result (e.g., the target warehouse information value—only an example) to the terminal device.
The server 105 may, for example, obtain at least one alternative dimension value for the target user in N target dimensions, where the nth target dimension includes q n The number of the dimension values is selected, N is an integer greater than 0, and N is an integer greater than 0 and less than or equal to N; server 105 may, for example, generate from at least one alternative dimension value in the N target dimensionsA first warehouse information table under the dimension combination; the server 105 may, for example, receive a target request for the target user, the target request including a target dimension value at each target dimension. The server 105 may be configured to determine whether the target dimension is equal to or greater than the target dimension value >Determining a second storage information table from the first storage information tables; the server 105 may determine a target warehousing information value of the target request, for example, from the second warehousing information table, to send the target warehousing information value to the target user.
The server 105 may be an entity server, and may be composed of a plurality of servers, for example, and a part of the server 105 may be used as a warehouse information processing task submission system in the present disclosure, for example, to obtain a task to execute a warehouse information processing command; and a portion of the server 105 may also be used, for example, as a warehousing information processing system in the present disclosure, to obtain at least one alternative dimension value for a target user in N target dimensionsWherein the nth target dimension includes q n The number of the dimension values is selected, N is an integer greater than 0, and N is an integer greater than 0 and less than or equal to N; generating from at least one candidate dimension value in the N target dimensionsA first warehouse information table under the dimension combination; receiving a target request of the target user, wherein the target request comprises a target dimension value under each target dimension; according to a target dimension value in each target dimension +. >Determining a second storage information table from the first storage information tables; and determining a target warehouse information value of the target request according to the second warehouse information table so as to send the target warehouse information value to the target user.
According to the warehouse information processing method and device provided by the embodiment of the disclosure, for a designated target user, at least one candidate dimension value of the target user in N target dimensions is generatedThe first warehouse information table under the individual dimension combination can abstract different services into different sets and generate +.f. capable of meeting the requirements of target users>A first warehouse information table under the dimension combination. When a target request of a target user is received, a second storage information table can be quickly obtained by matching in the first storage information table according to a target dimension value in the target request, and a target storage information value for a corresponding target request can be quickly obtained according to the second storage information table. According to the technical scheme provided by the embodiment of the disclosure, different services of the warehouse service are subjected to abstract combination according to different dimensions, so that the diversity of the warehouse service can be met, and the target warehouse information value can be rapidly generated for maintaining warehouse information.
Fig. 2 is a flow chart illustrating a warehouse information processing method according to an exemplary embodiment. The warehouse information processing method provided in the embodiments of the present disclosure may be executed by any electronic device having a computing processing capability, for example, the terminal devices 101, 102, 103 and/or the server 105, and in the following embodiments, the method executed by the server is exemplified, but the present disclosure is not limited thereto. The warehouse information processing method provided by the embodiment of the present disclosure may include steps S202 to S210.
As shown in fig. 2, in step S202, at least one candidate dimension value of the target user in N target dimensions is acquired, where q is included in the nth target dimension n And the number of the dimension values is N, N is an integer greater than 0, N is the number of the target dimensions, and N is an integer greater than 0 and less than or equal to N.
In the embodiment of the disclosure, the target dimension is dimension information of the warehousing service related to the target user when the target user uses the warehousing service. The target dimension may be, for example, but is not limited to: warehouse action, city, warehouse attributes, temperature layers, warehouse attributes, warehouse objects, etc. The candidate dimension value of each target dimension is a dimension value of each dimension information preset by a target user when the target user uses the warehousing service. For example, the target dimension is a city, and the target dimension value may be: shanghai, beijing. Wherein the target user presets that he can use the warehouse service from Shanghai and Beijing by selecting "Shanghai, beijing".
In step S204, at least one candidate dimension value under N target dimensions is generatedA first warehouse information table under the dimension combination.
In an embodiment of the present disclosure, in FIG. 2Assuming n=3, the 3 target dimensions are: warehouse actions, cities, and warehouse attributes. Wherein the 1 st target dimension 'warehouse action' comprises q 1 Individual targetsThe dimension values are: order ex-warehouse production, storage service for goods, i.e. q 1 =2. The 2 nd target dimension "city" includes q 2 The individual target dimension values are: shanghai, beijing, i.e. q 2 =2. The 3 rd target dimension "storehouse Property" includes q 3 The individual target dimension values are: large warehouse, small and medium parts, i.e. q 3 =2. ThenThe number of dimensional combinations is 8. The 8 dimensional combinations are shown in table 1. As in table 1, each row is a combination of dimensions.
Table 1 dimension combination table
Warehouse action City Warehouse attributes
Order ex-warehouse production Shanghai Large warehouse
Order ex-warehouse production Shanghai Middle and small piece
Order ex-warehouse production Beijing Large warehouse
Order ex-warehouse production Beijing Middle and small piece
Article storage service Shanghai Large warehouse
Article storage service Shanghai Middle and small piece
Article storage service Beijing Large warehouse
Article storage service Beijing Middle and small piece
Wherein, each dimension combination can comprise a first warehouse information table. For a specified dimension combination, the first warehouse information table under the dimension combination is used for describing related content of warehouse information of warehouse services under the dimension combination.
In step S206, a target request of a target user is received, the target request including a target dimension value in each target dimension.
In the embodiment of the disclosure, the target request of the target user may be sent by the target user through the terminal device. For example, when the target user has a portion of the goods that require the warehouse service, it may generate a target request through the terminal device. Which can select target dimension values at each target dimension during the setup process. In an actual application scenario, when a target user needs to request a commodity storage service for a small lot of commodities in Beijing, the target user can select three target dimension values of "commodity storage service", "Beijing" and "middle-sized and small-sized to generate a target request.
In step S208, the next target dimension value is calculated according to each target dimensionAnd determining a second warehouse information table in the first warehouse information tables.
In an exemplary embodiment, one can A dimension combination matched with N target dimension values in N target dimensions in the dimension combinations is determined to be a target dimension combination; and determining the first storage information table under the target dimension combination as a second storage information table.
In the foregoing example, since the target dimension values of the target request in the 3 target dimensions are "article storage service", "Beijing", "middle-and-small" respectively, which are matched with the dimension combinations shown in the 8 th row in the table 1, the dimension combination indicated in the 8 th row in the table 1 can be determined as the target dimension combination, and the first warehouse information table in the dimension combination indicated in the 8 th row in the table 1 can be determined as the second warehouse information table.
In step S210, a target warehouse information value of the target request is determined according to the second warehouse information table, so as to send the target warehouse information value to the target user.
In the embodiment of the disclosure, the target warehouse information value of the target request can be generated based on the related content of the warehouse information related to the warehouse service described in the second warehouse information table, so that the warehouse service is provided for the target user according to the target warehouse information value. The target warehousing information value may be, for example, an offer for the warehousing service mentioned in the target request, but the target warehousing information value may also be other warehousing information of the warehousing service mentioned in the target request, which is not particularly limited in this disclosure.
After the target warehouse information value is obtained, the target warehouse information value can be sent to a target user; and receiving the virtual currency transaction completion information of the target user in response to the target storage information value so as to execute the receiving flow of the storage goods of the target user according to the virtual currency transaction completion information.
According to the warehouse information processing method provided by the embodiment of the disclosure, for a designated target user, at least one candidate dimension value of the target user in N target dimensions is generatedThe first warehouse information table under the individual dimension combination can abstract different services into different sets and generate +.f. capable of meeting the requirements of target users>A first warehouse information table under the dimension combination. When a target request of a target user is received, a second storage information table can be quickly obtained by matching in the first storage information table according to a target dimension value in the target request, and a target storage information value for a corresponding target request can be quickly obtained according to the second storage information table. According to the technical scheme provided by the embodiment of the disclosure, different services of the warehouse service are subjected to abstract combination according to different dimensions, so that the diversity of the warehouse service can be met, and the target warehouse information value can be rapidly generated for maintaining warehouse information.
Fig. 3 is a flowchart illustrating a warehouse information processing method according to an exemplary embodiment.
As shown in fig. 3, step S204 of the embodiment shown in fig. 2 may include steps S302 to S306.
In step S302, for q in the 1 st target dimension 1 Q at the nth target dimension from the value of the candidate dimension N Combining the individual candidate dimension values to generateAnd combinations of dimensions.
In the embodiments of the present disclosure, the combining process may refer to the relevant content in the foregoing embodiments, which is not repeated herein. In FIG. 3
In step S304, a target unit and at least one target ladder for each dimension combination are determined.
In embodiments of the present disclosure, the target unit and at least one target ladder for each dimension combination may be preset. The target unit is a calculation unit required for generating the target warehouse information value. The target ladder is a calculation ladder used for generating a target warehouse information value. For example, each target ladder may include a start value and a stop value.
In step S306, target contract information of the target user is acquired, the target contract information including a target type and a target unit value under at least one target ladder.
In embodiments of the present disclosure, the target contract information may be related content of the warehousing service requested by the target user in determining to use the warehousing service. The target type may be determined by a description in the target contract information of the target user. The target type is used to indicate the manner of processing in generating the target bin information value. The target unit is used to indicate a calculation unit employed in generating the target bin information value. For example, the target units may be, for example: volume (cubic meters), piece, volume & number of pieces, ton (weight), plate (gauge), box (gauge). Wherein, the volume (cubic meter) can comprise the following contents: volume, whether stacking, stacking coefficient, stacking layer number. The volume & number may include the following: first piece number, first piece price, second piece price, volume price, discount, minimum charge (target warehouse information value of volume and piece number is calculated at the same time, and maximum value is taken).
In step S308, a first warehouse information table under each dimension combination is generated according to the target type, the target unit, the at least one target ladder and the target unit value under the at least one target ladder of each dimension combination.
In an embodiment of the present disclosure, the first warehouse information table may be as shown in table 2. Wherein, each row in table 2 corresponds to a target step, and each target step includes a target unit value. The number of first pieces, the price of second pieces, and the volume price can be determined according to a preset rule of the dimension combination corresponding to the first storage information table, and are not described herein. Wherein the target type, target unit are not shown in table 2. The target type and the target unit can be identification information carried by the first warehouse information table.
TABLE 2
Further, in step S250, a matching type may be determined according to the target type of the second warehouse information table; determining a target element value according to the matching type and the target unit; and determining a target warehouse information value of the target request according to the target element value and the target type.
The target element value may be a field value in the target request that matches the target unit. For example, when the target unit is a piece, a field value of which the field is "piece" may be searched in the target request as the target element value. The target unit may further include: first number. When the number of first elements is greater than 1, the target element value may also be determined according to the target type and the target unit.
The target type carried by the second warehouse information table can be determined as the matching type. And matches the corresponding field in the target request based on the match type. For example, the target type may include any one of a part, ton, volume, board gauge, box gauge.
In an exemplary embodiment, when determining the target warehouse information value of the target request according to the target element value and the target type, a matching ladder may be determined in at least one target ladder according to the target element value, each matching ladder including an initial start value and an initial cutoff value; determining a target starting value and a target cut-off value under each matching ladder according to the target element value, the initial starting value and the initial cut-off value of each matching ladder; determining a target ladder value under each matching ladder according to the target starting value and the target cut-off value under each matching ladder; and determining a target warehouse information value according to the weighted sum value of the target step value and the target unit value under each matching step.
Taking table 2 as an example, in the steps indicated in the first row (hereinafter referred to as the first target steps, the second target steps in the second row), the initial start value is 0, and the initial cutoff value is 90. When the target element value is 100, a target step having an initial cutoff value of less than or equal to 100 may be determined as a matching step, such as the first target step and the second target step in table 2. The first matching step (i.e., the first target step) has a target start value of 0, a target cutoff value of 90, and a target step value of 90-0=90. The second matching step (i.e., the second target step) has a target start value of 90, a target cutoff value of 100, and a target step value of 100-90=10. Further, for a first target step, where the target unit value is 1, for a second target step, the target unit value is 2. The target bin information value may be expressed as: 90×1+10×2=110.
Further, in generating the target bin information value, the initial bin information value of the target request may be determined according to the second bin information table (e.g., 110 as exemplified above); obtaining a discount value of a target user; and determining a target warehouse information value of the target request according to the discount value and the initial warehouse information value. Wherein the product of the discount value and the initial bin information value may be used to determine the face bin information value of the target request.
The discount value may also be, for example, a ladder setting, such as the "discount" field shown in table 2.
Fig. 4 is a flowchart illustrating a warehouse information processing method according to an exemplary embodiment.
As shown in fig. 4, the warehouse information processing method provided in the embodiment of the present disclosure may include steps S402 to S408.
In step S402, the warehouse service is stripped into warehouse actions and dimension attributes according to the business using latitude combinations, the latitude combinations of the quotations are generated by performing combination configuration, and then each quotation latitude individually maintains a price (step price) to generate a standard quotation. The same dimension only needs to configure one standard offer. Therefore, only when a merchant with a new business line uses the warehousing service and needs the quotation, the established dimension user only needs to bind the standard quotation with the merchant, and the operation is simple and easy to maintain.
Wherein the standard offer is an offer template that is independent of the merchant. When configuring merchant offers, a standard offer may be selected for binding and the system may copy the offer configuration into the merchant offer list. The quotation information displayed in the quotation page of the merchant is also the data in the quotation table of the merchant. The standard quotation will not be modified when the bound quotation configuration is subsequently modified. Standard offer modifications will not affect previously bound merchant offers.
Basic information for standard offers may include: standard quotation number, standard quotation name, date of validation, dimension combination list, ladder quotation. Where the dimensions represent the primary billing characteristics of the warehouse, different warehouses may be slightly different, as schematically illustrated in fig. 5. The dimension of "warehouse action" in fig. 5 may be stored differently from other dimensions so that the dimension of "warehouse action" is taken as a cost item when the later is summarized. However, the dimension of the "warehouse action" may be stored indistinguishably from other dimensions, and fig. 5 is only one specific example.
A standard quotation may have multiple dimensional combinations, each with a ladder quotation, with one or more "start value-cut-off values" and corresponding prices (i.e., target unit values, and other attributes for each line of ladder quotations depending on target units (i.e., quotation units)) in each ladder quotation. The composition of the ladder offers is shown in fig. 6.
For example, the user needs to add a new class of standard quotations, and first of all, maintenance of the standard quotation names and the effective dates must be performed. The selection of dimensions is then performed. The quotation can select multiple dimensions and can select values in each dimension (multiple choices), with a full combination of all dimensions being generated by the system.
For example, warehouse action dimensions are selected: commodity storage service, order delivery production, in city dimensions: beijing, shanghai, among the warehouse attributes: middle and small pieces and a large warehouse.
The system will generate all combinations of these dimension values as a list of dimension combinations for the quotation, such as shown in table 1.
The ladder offers are then started to be maintained for different dimensions.
Quote units (i.e., the aforementioned target units): each quotation unit specifies attributes that are required for use in the calculation. The quotation units are the target units mentioned above, and will not be described here.
The bid types (i.e., the aforementioned target types) may include one or more of parts, tons, volumes, board gauges, and case gauges.
The ladder refers to searching corresponding single-volume statistics or turnover days of the merchant through the current quotation and dimension when charging, and then matching a certain line (ladder) in the price list by using the result to calculate the cost.
The stage refers to that when charging, the charging date is used for determining that the charging date is matched with a certain ladder to charge the fee.
Quotation ladders (i.e., the aforementioned target ladders): each row (ladder) in the price table records the current price quote ladder: the start value, cut-off value, and other fields differ according to the "bid unit" in the dimension combination to which the ladder bid table pertains.
In addition to the "start value, cutoff value", each bid unit has its own field (i.e., target unit value):
volume: meta/volume (cubic meters);
piece (2): first piece price, first piece number, second piece price, volume price, discount, and minimum charge
Volume & number: first piece price, first piece number, second piece price, volume price, discount, and minimum charge.
Ton: yuan/ton
A plate: element/plate
The box: meta/box
Wherein table 2 shows a stepped quotation table with a unit of quotation of "volume".
In step S404, when the quotation unit (i.e., the target type) is the first billing, the target element value is obtained in segments; and when the quotation type is non-initial charging, determining a target element value according to the target unit.
The target type may also include an identification of whether to charge for the first time.
In step S406, a target bid is determined based on the bid ladder and the target units.
In step S408, a target bid is obtained according to the following equation: target offer = header component price + (target element value-first number) times the component price.
In step S410, it is determined whether the discount value is less than 1, if not, discount=1, the flow is ended, and if yes, step S412 is executed. Wherein the discount value may include merchant discounts and other discounts.
In step S412, it is determined whether the merchant discount is less than 1, if not, step S414 is executed, and if yes, step S416 is executed.
In step S414, the product of the target offer and the merchant discount is updated to the target offer, and the process ends.
In step S416, it is determined whether the other discounts are smaller than 1, if not, step S414 is executed, and if yes, the product of the target offer and the merchant discount with the other discounts is updated to the target offer, and the flow is ended.
Actual amount of warehouse quote = warehouse price × discount, while discount amount = warehouse price-actual amount.
While a complete set of quotation scenes would have discounts/activities. The "discount" field in fig. 4 is a discount/activity with the finest granularity, and aims at price steps in a certain dimension, a mode of discount rate is adopted, when a certain step is met, the discount rate is calculated, and the discount rate can be maintained to be more than 1, and can also be used as a "penalty" that a merchant does not reach the standard in a certain situation.
If the matching type is a ladder type, taking the historical single quantity or turnover days of the target user as a matching element value of the discount rate; if the matching type is the stage type, the date information in the target request is determined as the matching element value of the discount rate. Wherein, for the ladder type: when the price is charged, the historical single quantity statistics or turnover days of the corresponding merchant are searched through the current quotation and dimension, and then the result is matched with a certain line (step) in the second warehouse information table to perform the price calculation. For phase types: when charging, the fee is charged by confirming that the fee is matched with a certain ladder through the charging date.
The amount (defining the amount of the bill sold by counting only the charging action, the amount of the bill = sum of the number of each item in the sold business bill)/the turnover number (the amount of the bill in the library/the amount of the sold bill) is suitable for step matching of discount/other discount of a merchant, the discount searching mode of the merchant is consistent with the quotation of the searching merchant, and the discount searching mode is searched through the code of the merchant and the business date. Other discount searching approaches are coded by standard offers (which standard offers are generated by records within merchant offers). A single amount applies to all billing actions except for the storage fee. Table of offers for discounts as shown in table 3, step matching of discounts such as: merchant A,4 month inventory (sales inventory) 2000, turnover rate 0.5 (1000/2000 inventory 1000).
TABLE 3 Table 3
Folding charging action Start value Cut-off value Discount rebate Minimum charge
Purchasing warehouse-in acceptance check 0 500 1.5 -
Purchasing warehouse-in acceptance check 500 ∞ 1 -
Customer order ex-warehouse production 0 500 1.5 -
Customer order ex-warehouse production 500 ∞ 1 100
Commodity storage service 0 1 1 -
Commodity storage service 1 ∞ 1.5 -
The merchant discount/other discount, the purchase warehouse entry acceptance is matched to discount 1 according to the single quantity 2000, and the final result is obtained by multiplying the result obtained by bill charging by 1. Customer orders are produced in a warehouse, discount 1.2 is matched according to the quantity of the orders, and a temporary result is obtained by multiplying the result obtained by bill charging by 1.2, because the step maintains the lowest charge, the result is compared with the lowest charge, and a larger value is the final result. The step matching of the storage fees is carried out according to the turnover rate, the turnover rate of the merchant is 0.5, discount 1 is matched, and the charging result of the bill is multiplied by 1 to be the final result. The bill charging result refers to a value calculated by the business bill according to the quotation of the merchant.
As shown in FIG. 7, embodiments of the present disclosure may also provide another way of discounting, either alone or in combination with a merchant offer or a standard offer, which is applicable only to the merchant when combined with the merchant offer. When binding to standard offers, all merchants under them apply the discount in two discount ways:
1. Discount rate: the original price is multiplied by the discount rate calculation.
2. Discount price: the eligible documents are re-charged at the discounted price.
Regardless of the discount, a criterion should be used that is a single or turn around determination (amount of in/out/amount of in inventory) for one or more dimensions of the merchant.
According to the warehouse information processing method provided by the embodiment of the disclosure, different dimensions are combined. The service abstraction can be aggregated and matched against ladder offers to encompass all billing patterns. The configuration process of quotation can be simplified through the condition combination, the operation is simple and convenient, personnel training is simple, and the operation efficiency is improved.
It should be clearly understood that this disclosure describes how to make and use particular examples, but the principles of this disclosure are not limited to any details of these examples. Rather, these principles can be applied to many other embodiments based on the teachings of the present disclosure.
Those skilled in the art will appreciate that all or part of the steps implementing the above embodiments are implemented as computer programs executed by a central processing unit (Central Processing Unit, CPU). The above-described functions defined by the above-described method provided by the present disclosure are performed when the computer program is executed by a central processing unit CPU. The program may be stored in a computer readable storage medium, which may be a read-only memory, a magnetic disk, an optical disk, or the like.
Furthermore, it should be noted that the above-described figures are merely illustrative of the processes involved in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
The following are device embodiments of the present disclosure that may be used to perform method embodiments of the present disclosure. For details not disclosed in the embodiments of the apparatus of the present disclosure, please refer to the embodiments of the method of the present disclosure.
Fig. 8 is a block diagram illustrating a warehouse information processing device, according to an exemplary embodiment. Referring to fig. 8, a warehouse information processing device 80 provided in an embodiment of the present disclosure may include: an alternative dimension acquisition module 802, a first warehouse information table generation module 804, a target request receiving module 806, a second warehouse information table determination module 808, and a warehouse information value calculation module 810.
In the warehouse information processing device 80, the alternative dimension acquisition module 802 may be configured to acquire at least one alternative dimension value of the target user in N target dimensions, where the nth target dimension includes q n And N is an integer greater than 0, and N is an integer greater than 0 and less than or equal to N.
The first warehouse information table generation module 804 may be configured to generate from at least one alternative dimension value in the N target dimensionsA first warehouse information table under the dimension combination.
The target request receiving module 806 may be configured to receive a target request for the target user, the target request including a target dimension value in each target dimension.
The second warehouse information table determination module 808 may be configured to determine a target dimension value for each target dimension based on the target dimension valuesFirst warehouse letterAnd determining a second warehouse information table in the information table.
The warehouse information value calculation module 810 may be configured to determine a target warehouse information value for the target request based on the second warehouse information table in order to send the target warehouse information value to the target user.
According to the warehouse information processing device provided by the embodiment of the disclosure, for a designated target user, at least one candidate dimension value of the target user in N target dimensions is generatedThe first warehouse information table under the individual dimension combination can abstract different services into different sets and generate +.f. capable of meeting the requirements of target users >A first warehouse information table under the dimension combination. When a target request of a target user is received, a second storage information table can be quickly obtained by matching in the first storage information table according to a target dimension value in the target request, and a target storage information value for a corresponding target request can be quickly obtained according to the second storage information table. According to the technical scheme provided by the embodiment of the disclosure, different services of the warehouse service are subjected to abstract combination according to different dimensions, so that the diversity of the warehouse service can be met, and the target warehouse information value can be rapidly generated for maintaining warehouse information.
In an exemplary embodiment, the second warehouse information table determination module 808 may include: a target dimension combination determination unit configurable to determineA dimension combination matched with N target dimension values in the N target dimensions is determined as a target dimension combination; the second warehouse information table determining unit may be configured to determine the first warehouse information table under the target dimension combination as the second warehouse information table.
In an exemplary embodiment, the first warehouse information table generation moduleBlock 804 may include: a dimension combination unit configured to, for q in the 1 st target dimension 1 Q at the nth target dimension from the value of the candidate dimension N Combining the individual candidate dimension values to generateCombining the dimensions; a dimension combination information determining unit configured to determine a target unit and at least one target ladder for each dimension combination; a target contract information acquisition unit configured to acquire target contract information of the target user, the target contract information including a target type and a target unit value under the at least one target ladder; the first warehouse information table generating unit may be configured to generate a first warehouse information table in each dimension combination according to the target type, the target unit, at least one target ladder and a target unit value in at least one target ladder of each dimension combination.
In an exemplary embodiment, the warehouse information value calculation module 810 may include: the matching type determining unit can be configured to determine a matching type according to the target type of the second warehouse information table; a target element value determination unit configured to determine a target element value from the target unit; and the warehouse information value calculation unit can be configured to determine a target warehouse information value of the target request according to the target element value and the target type.
In an exemplary embodiment, the target type determination target element value includes any one of a part, ton, volume, board gauge, box gauge.
In an exemplary embodiment, the warehouse information value calculation unit may include: a matching ladder determination subunit configurable to determine matching ladders in the at least one target ladder according to the target element value, each matching ladder comprising an initial start value and an initial cutoff value; a matching ladder calculation subunit configurable to determine a target start value and a target cutoff value under each matching ladder from the target element value, an initial start value and an initial cutoff value of each matching ladder; a target step value calculation subunit configurable to determine a target step value under each matching step from the target start value and the target cut-off value under each matching step; and the warehouse information value calculating subunit can be configured to determine the target warehouse information value according to the weighted sum value of the target step value and the target unit value under each matched step.
In an exemplary embodiment, the warehouse information processing device 80 may further include: the warehouse information value sending module can be configured to send the target warehouse information value to the target user; and the goods receiving module can be configured to receive the virtual currency transaction completion information of the target user responding to the target storage information value so as to execute the receiving flow of the storage goods of the target user according to the virtual currency transaction completion information.
An electronic device 900 according to such an embodiment of the invention is described below with reference to fig. 9. The electronic device 900 shown in fig. 9 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 9, the electronic device 900 is embodied in the form of a general purpose computing device. Components of electronic device 900 may include, but are not limited to: the at least one processing unit 910, the at least one storage unit 920, and a bus 930 connecting the different system components (including the storage unit 920 and the processing unit 910).
Wherein the storage unit stores program code that is executable by the processing unit 910 such that the processing unit 910 performs steps according to various exemplary embodiments of the present invention described in the above-described "exemplary methods" section of the present specification. For example, the processing unit 910 may perform the method steps as shown in fig. 2 or fig. 3 or fig. 4.
The storage unit 920 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 9201 and/or cache memory 9202, and may further include Read Only Memory (ROM) 9203.
The storage unit 920 may also include a program/utility 9204 having a set (at least one) of program modules 9205, such program modules 9205 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
The bus 930 may be one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 900 may also communicate with one or more external devices 1000 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 900, and/or with any device (e.g., router, modem, etc.) that enables the electronic device 900 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 950. Also, electronic device 900 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 960. As shown, the network adapter 960 communicates with other modules of the electronic device 900 over the bus 930. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 900, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, a computer-readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification is also provided. In some possible embodiments, the various aspects of the invention may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the invention as described in the "exemplary methods" section of this specification, when said program product is run on the terminal device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
Furthermore, the above-described drawings are only schematic illustrations of processes included in the method according to the exemplary embodiment of the present invention, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims (9)

1. The warehouse information processing method is characterized by comprising the following steps:
acquiring at least one alternative dimension value of a target user in N target dimensions; wherein the nth target dimension includes q n The number of the dimension values is equal to or more than 0, N is the number of the target dimensions, and N is an integer which is equal to or more than 0 and less than or equal to N;
generating from at least one candidate dimension value in the N target dimensionsA first warehouse information table under the dimension combination;
receiving a target request of the target user, wherein the target request comprises a target dimension value under each target dimension;
according to a target dimension value in each target dimension Determining a second storage information table from the first storage information tables;
determining a target warehouse information value of the target request according to the second warehouse information table so as to send the target warehouse information value to the target user;
wherein the generating is based on at least one candidate dimension value in the N target dimensionsThe first warehouse information table under the individual dimension combination comprises:
for q in the 1 st target dimension 1 Q at the nth target dimension from the value of the candidate dimension N Combining the individual candidate dimension values to generateCombining the dimensions;
determining a target unit and at least one target ladder under each dimension combination;
acquiring target contract information of the target user, wherein the target contract information comprises a target type and a target unit value under the at least one target ladder;
and generating a first warehouse information table under each dimension combination according to the target type, the target unit, at least one target ladder and the target unit value under at least one target ladder of each dimension combination.
2. The method of claim 1, wherein the step of determining the target dimension value is based on a target dimension value for each target dimensionDetermining a second warehouse information table in the first warehouse information tables comprises:
Will beA dimension combination matched with N target dimension values in the N target dimensions is determined as a target dimension combination;
and determining the first storage information table under the target dimension combination as the second storage information table.
3. The method of claim 1, wherein determining a target warehouse information value for the target request from the second warehouse information table comprises:
determining a matching type according to the target type of the second warehouse information table;
determining a target element value according to the target unit;
and determining a target warehouse information value of the target request according to the target element value and the target type.
4. A method according to claim 3, wherein the target type comprises any one of part, ton, volume, gauge.
5. The method of claim 3 or 4, wherein determining a target warehousing information value for the target request based on the target element value and the target type comprises:
determining matching steps in the at least one target step according to the target element value, wherein each matching step comprises an initial starting value and an initial cut-off value;
determining a target starting value and a target cut-off value under each matching ladder according to the target element value, the initial starting value and the initial cut-off value of each matching ladder;
Determining a target ladder value under each matching ladder according to the target starting value and the target cut-off value under each matching ladder;
and determining the target warehouse information value according to the weighted sum value of the target step value and the target unit value under each matched step.
6. The method as recited in claim 1, further comprising:
the target warehouse information value is sent to the target user;
and receiving virtual currency transaction completion information of the target user responding to the target storage information value so as to execute the receiving flow of the storage goods of the target user according to the virtual currency transaction completion information.
7. A warehouse information processing apparatus, comprising:
an alternative dimension acquisition module configured to acquire at least one alternative dimension value of the target user in N target dimensions, where the N target dimensions include q n The number of the dimension values is equal to or more than 0, N is the number of the target dimensions, and N is an integer which is equal to or more than 0 and less than or equal to N;
a first warehouse information table generation module configured to generate at least one candidate dimension value according to the N target dimensionsA first warehouse information table under the dimension combination; wherein said generating +. >The first warehouse information table under the individual dimension combination comprises: for q in the 1 st target dimension 1 Q at the nth target dimension from the value of the candidate dimension N The individual alternative dimension values are combined to form +.>Combining the dimensions; determining a target unit and at least one target ladder under each dimension combination; acquiring target contract information of the target user, wherein the target contract information comprises a target type and a target unit value under the at least one target ladder; generating a first warehouse information table under each dimension combination according to the target type, the target unit, at least one target ladder and a target unit value under at least one target ladder of each dimension combination;
a target request receiving module configured to receive a target request of the target user, the target request including a target dimension value in each target dimension;
a second warehouse information table determining module configured to determine whether the target dimension value is within the target dimension according to the target dimension valueDetermining a second storage information table from the first storage information tables;
and the warehouse information value calculation module is configured to determine a target warehouse information value of the target request according to the second warehouse information table so as to send the target warehouse information value to the target user.
8. An electronic device, comprising:
at least one processor;
a storage device for storing at least one program;
the at least one program, when executed by the at least one processor, causes the at least one processor to implement the method of any of claims 1-6.
9. A computer readable medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-6.
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