WO2022166106A1

WO2022166106A1 - Information processing method and apparatus, and storage medium

Info

Publication number: WO2022166106A1
Application number: PCT/CN2021/104988
Authority: WO
Inventors: 丛琳
Original assignee: 北京沃东天骏信息技术有限公司; 北京京东世纪贸易有限公司
Priority date: 2021-02-02
Filing date: 2021-07-07
Publication date: 2022-08-11
Also published as: CN113743702A

Abstract

Disclosed in embodiments of the present application are an information processing method and apparatus, and a storage medium, the method comprising: when receiving multiple service parameters of target objects, determining, according to correspondences between multiple preset service parameters and preset processing duration assessment models, a target processing duration assessment model corresponding to the multiple service parameters; acquiring current quantity information and historical average processing volume information of the target objects; inputting the multiple service parameters, the current quantity information, and the historical average processing volume information into the target processing duration assessment model to acquire processing duration information of the target objects; and determining, according to the processing duration information, a quantity to be acquired in the next round of target object processing so as to acquire, before the next round of target object processing, the quantity to be acquired of the target objects.

Description

An information processing method and device, and a storage medium

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the priority of the Chinese patent application with the application number 202110146089.2 and the application title "An information processing method and device, and storage medium" filed with the China Patent Office on February 2, 2021, the entire contents of which are incorporated by reference in in this application.

technical field

The present application relates to the technical field of information processing, and in particular, to an information processing method and device, and a storage medium.

Background technique

In recent years, with the development of Internet technology, the Internet technology can be used to promote and publicize the target object, so that more users can obtain the target object.

In the prior art, before the user obtains the target object, the target object is stored in the storage library, and the processing of the target object is usually determined according to the quantity information of the target object in the current storage library and the average processing information of the target object. Duration information, due to the influence of various factors, reduces the accuracy of determining the processing duration information of the target object.

SUMMARY OF THE INVENTION

In order to solve the above technical problems, the embodiments of the present application expect to provide an information processing method and device, and a storage medium, which can improve the accuracy of determining the processing duration information of the target object.

The technical solution of the present application is realized as follows:

The embodiment of the present application provides an information processing method, including:

In the case of receiving a plurality of business parameters of the target object, from the correspondence between a plurality of preset business parameters and a preset processing duration evaluation model, determine the target processing duration evaluation model corresponding to the multiple business parameters;

Acquiring current quantity information and historical average throughput information of the target object;

Inputting the plurality of business parameters, the current quantity information and the historical average processing volume information into the target processing duration evaluation model to obtain processing duration information of the target object;

The quantity to be acquired in the next round of processing the target object is determined according to the processing duration information, so as to acquire the quantity of target objects to be acquired before the next round of processing of the target object.

An embodiment of the present application provides an information processing apparatus, and the apparatus includes:

The determining part is configured to determine the target processing duration corresponding to the multiple business parameters from the correspondence between the multiple preset business parameters and the preset processing duration evaluation model in the case of receiving multiple business parameters of the target object evaluating the model; determining the quantity to be obtained in the next round of processing the target object according to the processing duration information, so as to obtain the target object of the quantity to be obtained before the next round of processing the target object;

an acquisition part, configured to acquire the current quantity information and historical average throughput information of the target object;

The input part is configured to input the plurality of business parameters, the current quantity information and the historical average processing volume information into the target processing duration evaluation model to obtain the processing duration information of the target object.

A memory, a processor, and a communication bus, the memory communicating with the processor through the communication bus, the memory storing a program for information processing executable by the processor, when the information processing program is executed , and the above-mentioned information processing method is executed by the processor.

An embodiment of the present application provides a storage medium on which a computer program is stored, which is applied to an information processing apparatus, and when the computer program is executed by a processor, implements the above-mentioned information processing method.

Embodiments of the present application provide an information processing method, device, and storage medium. The information processing method includes: in the case of receiving multiple service parameters of a target object, evaluating a model from multiple preset service parameters and preset processing durations In the corresponding relationship, determine the target processing duration evaluation model corresponding to multiple business parameters; obtain the current quantity information and historical average processing volume information of the target object; input multiple business parameters, current quantity information and historical average processing volume information into the target processing The duration evaluation model is used to obtain the processing duration information of the target object; according to the processing duration information, the number to be acquired in the next round of processing the target object is determined, so as to acquire the number of target objects to be acquired before the next round of processing of the target object . By adopting the implementation scheme of the above method, when the information processing device receives multiple service parameters of the target object, the information processing device can determine the number of preset service parameters and the corresponding relationship between the preset processing duration evaluation model. The target processing time evaluation model corresponding to each business parameter is used to process multiple business parameters, current quantity information and average processing volume information of the target object by using the target processing time evaluation model, so as to obtain the processing time information of the target object and improve the information The processing device determines the accuracy of the processing duration information of the target object.

Description of drawings

1 is a flowchart of an information processing method provided by an embodiment of the present application;

FIG. 2 is a schematic diagram 1 of the composition structure of an exemplary information processing apparatus provided by an embodiment of the present application;

FIG. 3 is a flowchart 1 of an exemplary information processing method provided by an embodiment of the present application;

FIG. 4 is a second schematic diagram of the composition and structure of an exemplary information processing apparatus provided by an embodiment of the present application;

FIG. 5 is a second flowchart of an exemplary information processing method provided by an embodiment of the present application

FIG. 6 is a schematic diagram 1 of the composition structure of an information processing apparatus provided by an embodiment of the present application;

FIG. 7 is a second schematic diagram of the composition and structure of an information processing apparatus according to an embodiment of the present application.

Detailed ways

In order to have a more detailed understanding of the features and technical contents of the embodiments of the present application, the implementation of the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

Example 1

An embodiment of the present application provides an information processing method. FIG. 1 is a flowchart of an information processing method provided by an embodiment of the present application. As shown in FIG. 1 , the information processing method may include:

S101. In the case of receiving multiple service parameters of the target object, from the correspondence between the multiple preset service parameters and the preset processing duration evaluation model, determine the target processing duration evaluation model corresponding to the multiple service parameters.

An information processing method provided by an embodiment of the present application is suitable for a scenario in which an information processing apparatus determines processing duration information of a target object by using a target processing duration evaluation model.

In the embodiments of the present application, the information processing apparatus may be implemented in various forms. For example, the information processing devices described in this application may include, for example, cell phones, cameras, tablet computers, notebook computers, palmtop computers, Personal Digital Assistants (PDAs), Portable Media Players (PMPs), Navigation devices, wearable devices, smart bracelets, pedometers and other devices, as well as devices such as digital TVs, desktop computers, etc.

In the embodiment of the present application, the target object may be a commodity, the target object may also be express delivery, and the target object may also be other objects, which can be determined according to actual conditions, which are not limited in the embodiments of the present application.

In this embodiment of the present application, if the target object is a commodity, the plurality of business parameters may be parameters of different dimensions of the target object. Exemplarily, the multiple business parameters include: the acquisition duration parameter of the target object (supplier delivery duration), the acquisition frequency parameter of the target object (that is, how often to replenish the goods), and the reprocessing duration parameter of the target object (that is, the reprocessing duration parameter of the target object). The number of days to prepare the goods before selling, and due to some force majeure factors may lead to the phenomenon of short stocking time in the early stage of replenishment, this dimension is to increase the number of days to reduce the risk of calculating the safety stock) and so on.

It should be noted that the acquisition time parameter of the target object is the information configured according to the supplier's contract performance capability; the acquisition frequency parameter of the target object is the information configured according to the supplier's contract performance capability and commodity sales; the target object's reprocessing time parameter is According to the operation and stocking capacity of the warehouse and the additional safety days of the target object, it is the information of the safety stock days configured according to the regular operation of the commodity.

In this embodiment of the present application, the information processing apparatus may acquire multiple service parameters input by the user from the service parameter acquisition webpage, so that the information processing apparatus may receive multiple service parameters of the target object; the information processing apparatus may also obtain multiple service parameters from other apparatuses Obtaining multiple service parameters input by the user enables the information processing apparatus to receive multiple service parameters of the target object, which can be specifically determined according to the actual situation, which is not limited in this embodiment of the present application.

In the embodiment of the present application, the information processing device is provided with a plurality of corresponding relationships between preset service parameters and a preset processing duration evaluation model, and when the information processing device receives multiple service parameters of the target object, the information processing device Then, the target processing duration evaluation model can be determined according to the multiple service parameters and the corresponding relationship between the multiple preset service parameters and the preset processing duration evaluation model.

In this embodiment of the present application, when the information processing apparatus receives multiple service parameters of the target object, the information processing apparatus may search for multiple first service parameters matching the multiple service parameters among the multiple preset service parameters. service parameters, and determine the first preset service code information corresponding to the multiple first service parameters in the correspondence between the multiple preset service parameters and the preset service code information, and use the first service code information as the multiple Service code information corresponding to each service parameter.

In the embodiment of the present application, after the information processing device determines the service code information corresponding to the plurality of service parameters, the information processing device can search for the first service code information matching the service code information in the preset service code information, and A first processing duration evaluation model corresponding to the first service encoding information in the correspondence between the preset service encoding information and the preset processing duration evaluation model is determined, and the first processing duration evaluation model is used as the processing duration evaluation model.

It should be noted that the preset service coding information may be the coding information obtained by the information processing apparatus that has a corresponding relationship with multiple preset service parameters and the preset processing duration evaluation model, or may be the coding information generated by the information processing apparatus and corresponding to multiple preset service parameters and the preset processing duration evaluation model. The preset service parameters and the preset processing duration evaluation model have coding information in a corresponding relationship, which can be specifically determined according to the actual situation, which is not limited in this embodiment of the present application.

In this embodiment of the present application, the preset service coding information may be coding information generated by the information processing apparatus when the received preset coding information and the preset processing duration evaluation model are stored. Specifically, the encoding information may be the preset encoding information stored by the information processing device and the location information of the preset processing duration evaluation model; the encoding information may also be the number when the information processing device stores the preset encoding information and the preset processing duration evaluation model The encoding information can also be the random number information generated by the random number when the information processing device stores the preset encoding information and the preset processing duration evaluation model. limited.

Exemplarily, as shown in FIG. 2 , after the configuration module of the information processing device is configured with the preset processing duration evaluation model, the information processing device uses the storage module to store a plurality of preset service parameters and the preset processing duration evaluation model, and simultaneously. The association module of the information processing device generates preset service code information in the process of storing a plurality of preset service parameters and a preset processing duration evaluation model in the storage module, and associates the plurality of preset service parameters with the preset service code information , obtain the correspondence between a plurality of preset service parameters and preset service coding information, associate the preset processing duration evaluation model with the preset service coding information, and obtain the relationship between the preset service coding information and the preset processing duration evaluation model After the corresponding relationship between the two, the information processing device further utilizes the storage module to store the corresponding relationship between a plurality of preset service parameters and the preset service coding information and the corresponding relationship between the preset service coding information and the preset processing duration evaluation model, Finally, the information processing apparatus returns the preset service coding information to the configuration module, so that the information processing apparatus can find the corresponding preset processing duration evaluation model according to the preset service coding information.

It should be noted that, the information processing apparatus can use the storage module to store the correspondence between multiple preset service parameters and preset service coding information, and the correspondence between the preset service coding information and the preset processing duration evaluation model to the storage module. in relational databases.

It should be noted that the information processing device can evaluate the model according to the correspondence between the preset service parameters and the preset service coding information, and the corresponding relationship between the preset service coding information and the preset processing duration. That is, the corresponding relationship between the plurality of preset service parameters and the preset processing duration evaluation model is obtained, and then the information processing apparatus can use the storage module to store the corresponding relationship between the multiple preset service parameters and the preset processing duration evaluation model.

In the embodiment of the present application, the information processing apparatus further obtains a plurality of information processing apparatus before determining the target processing duration evaluation model corresponding to the multiple business parameters from the correspondence between the multiple preset business parameters and the preset processing duration evaluation model. preset service parameters; the information processing device configures the multiple preset service parameters corresponding to the preset processing duration evaluation model according to the multiple preset service parameters; the information processing device determines the preset processing duration evaluation model according to the multiple preset service parameters and the preset processing duration evaluation model Correspondence between multiple preset service parameters and preset processing duration evaluation models.

In the embodiment of the present application, the process for the information processing apparatus to acquire multiple preset service parameters includes: the information processing apparatus acquires the acquisition duration parameter of the target object, the acquisition frequency parameter of the target object, and the reprocessing duration parameter of the target object. The process for the information processing device to configure a plurality of preset service parameters corresponding to the preset processing duration evaluation model according to the multiple preset service parameters, including: the information processing device obtains a duration parameter based on the target object, an acquisition frequency parameter for the target object, and evaluates the target object. The reprocessing duration parameter and preset configuration rules are configured to configure multiple preset service parameters corresponding to the preset processing duration evaluation model.

In this embodiment of the present application, the information processing apparatus may acquire the input acquisition duration parameter of the target object, the acquisition frequency parameter of the target object, and the reprocessing duration parameter of the target object on the preset information acquisition page, and the information processing apparatus may also The acquisition duration parameter of the target object, the acquisition frequency parameter of the target object, and the reprocessing duration parameter of the target object are acquired from other devices, which can be determined according to actual conditions, which are not limited in this embodiment of the present application.

In the embodiment of the present application, when the information processing apparatus acquires multiple newly added service parameters and configuration rules, the information processing apparatus may select different newly added service parameters and configuration rules to combine and save, so as to complete a new addition During the process of adding business parameters and configuration rules, new rules are generated and recorded during the process of saving newly added business parameters and configuration rules. Exemplarily, the generated new rules are "STOCK_COMPUTE_RULE".

In the embodiment of the present application, the information processing apparatus can bind the new rule to a specified supplier or commodity category, and generate an association relationship for recording, so that the new rule can be used when the business system accesses the inventory turnover component Calculate the processing time information of the target object.

S102: Acquire current quantity information and historical average throughput information of the target objects.

In the embodiment of the present application, after the information processing device determines the target processing duration evaluation model corresponding to the multiple service parameters from the correspondence between the multiple preset service parameters and the preset processing duration evaluation model, the information processing device obtains the target object current quantity information and historical average throughput information.

In the embodiment of the present application, if the target object is a commodity, the current quantity information of the target object may be the current inventory information, to-be-shipped inventory, and in-transit inventory quantity information of the target object; wherein, the to-be-shipped inventory and in-transit inventory quantity information It can be the inventory to be shipped and in-transit inventory information from the supplier of the target object to the warehouse; the historical average throughput information can be the average sales information of the target object within a period of time.

It should be noted that a period of time can be within a month, a period of time can also be regarded as a quarter, a period of time can also be within a few days, and the specific period of time can be determined according to the actual situation. This is not limited.

S103: Input multiple business parameters, current quantity information, and historical average processing volume information into the target processing duration evaluation model to obtain processing duration information of the target object.

In this embodiment of the present application, after the information processing apparatus acquires the current quantity information and historical average processing volume information of the target objects, the information processing apparatus may input multiple business parameters, current quantity information and historical average processing volume information into the target processing duration evaluation model to obtain the processing time information of the target object.

In the embodiment of the present application, if the target object is a commodity, the processing duration information of the target object is the inventory turnover duration of the commodity.

In the embodiment of the present application, the target processing duration evaluation model includes a first processing duration evaluation model and a second processing duration evaluation model, the business parameter value of the first processing duration evaluation model is a preset parameter value, and the second processing duration evaluation model is Models other than the first processing duration evaluation model. The information processing device inputs a plurality of business parameters, current quantity information and historical average processing volume information into the processing duration evaluation model, and the process of obtaining the processing duration information of the target object includes: the information processing device determines a plurality of parameter values corresponding to the plurality of business parameters When the information processing device determines that the multiple parameter values are all preset parameter values, the information processing device inputs the multiple service parameters, the current quantity information and the historical average processing volume information into the first processing duration evaluation model to obtain the processing duration information; when the information processing device determines that at least one parameter value among the plurality of parameter values is not the preset parameter value, the information processing device inputs the plurality of service parameters, the current quantity information and the historical average processing volume information into the second parameter value. Evaluate the model for processing time and obtain processing time information.

In this embodiment of the present application, the preset parameter value may be a parameter value configured in the information processing device, may also be a parameter value received by the information processing device, or may be a parameter value obtained by the information processing device in other ways, The specific can be determined according to the actual situation, which is not limited in this embodiment of the present application.

In the embodiment of the present application, the preset parameter value may be 0, the preset parameter value may also be 1, and the preset parameter value may also be other values, and the specific value can be determined according to the actual situation. Not limited.

In this embodiment of the present application, in the case where any parameter value among the multiple parameter values corresponding to the multiple service parameters received by the information processing apparatus is empty (that is, the information processing apparatus does not receive any parameter value among the multiple parameter values) In the case of a parameter value), the information processing device sets any parameter value as a preset parameter value.

In this embodiment of the present application, the target processing duration evaluation model may be a convolutional neural network model, and the target processing duration assessment model may also be a formula, which may be determined according to actual conditions, which is not limited in this embodiment of the present application.

In the embodiment of the present application, if the target processing duration evaluation model is a formula, then the first processing duration evaluation model can be represented by formula (1):

Among them, T is the processing time information of the target object; Avg_Num is the historical average processing volume information of the target object, that is, the average daily sales information of the target object in the past 30 days; avi is the current quantity information of the target object; tra is the target object's waiting time Shipping inventory and in-transit inventory quantity information;

It is the total sales information of the target object in the past 30 days.

It should be noted that the preset parameter value may be 0. In the case where the information processing device determines that the parameter value of the preset parameter is all 0, the information processing device uses the first processing duration evaluation model to evaluate the current quantity information, the pending transmission Inventory and in-transit inventory quantity information and historical average processing volume information are processed, so as to obtain the processing time information of the target object.

In the embodiment of the present application, if the target processing duration evaluation model is a formula, the second processing duration evaluation model can be represented by formula (2):

Specifically, the multiple service parameters of the target object may be four parameter information, namely VLT, NR, TBP, and BufferDays.

It should be noted that VLT is the supplier delivery time information of the target object of the target object; NR is the replenishment frequency information of the target object of the target object; TBP is the stocking days information of the target object of the target object; BufferDays is the Additional security days information for the target object;

It is the total sales information of the target object from the first day of the historical 30 days to VLT+NRT+BP+BufferDays days.

It should also be noted that T, Avg_Num, avi, and tra in the formula (2) have the same meanings as those represented by the parameters T, Avg_Num, avi, and tra in the formula (1).

In the embodiment of the present application, the information processing device inputs multiple business parameters, current quantity information and historical average processing volume information into the target processing duration evaluation model, and after obtaining the processing duration information of the target object, the information processing device can output the target object's processing duration information. Processing time information.

It should be noted that, the information processing apparatus may output the processing duration information in a manner that the information processing apparatus displays the processing duration information on a display, or the information processing apparatus may output the processing duration information to the receiving device; the details may be carried out according to the actual situation. It is determined that this embodiment of the present application does not limit this.

In the embodiment of the present application, the information processing device is provided with a display, and the information processing device can use the display to display the processing duration information, and the information processing device can also transmit the information processing duration information to other devices, so as to utilize the settings in other devices. The display of the device displays the processing duration information, which may be determined according to the actual situation, which is not limited in this embodiment of the present application.

In this embodiment of the present application, after obtaining the processing duration information of the target object, the information processing apparatus may directly display the processing duration information; the information processing apparatus may also transmit the processing duration information to the receiving device, so as to use other apparatuses to process the processing duration information. The duration information is processed or displayed, which may be specifically determined according to the actual situation, which is not limited in this embodiment of the present application.

It should be noted that the receiving device may be a service system, a client, or other devices, which may be determined according to actual conditions, which are not limited in this embodiment of the present application.

It should be noted that, the information processing device transmits the processing duration information to the receiving device in a manner that the information processing device transmits the processing duration information to the receiving device using a back-end interface, or wirelessly transmits the information for the information processing device. The processing duration information is transmitted to the receiving device, which may be specifically determined according to the actual situation, which is not limited in this embodiment of the present application.

S104: Determine the number of target objects to be acquired in the next round of processing the target objects according to the processing duration information, so as to acquire the number of target objects to be acquired before the next round of processing of the target objects.

In the embodiment of the present application, the information processing device inputs multiple business parameters, current quantity information and historical average processing volume information into the target processing duration evaluation model, and after obtaining the processing duration information of the target object, the information processing device can The quantity to be acquired in the next round of processing the target object is determined.

It should be noted that, if the target object is a commodity, the quantity to be acquired may be the quantity information of the commodity purchased by the merchant next time.

Exemplarily, when the information processing device receives the delivery time of the target object configured by the operator from the configuration module (it can be 3 days), how often is the replenishment time (it can be 1 day), and before the target object is sold In the case of multiple preset business parameters such as the number of days to prepare the goods (it can be 3 days) and the number of additional security days (it can be 1 day), among them, the delivery time of the supplier, the replenishment every time, the target object In the case where multiple preset business parameters such as the number of days to prepare the goods before selling and the number of additional security days are not all 0, the information processing device uses the formula (2) as the target processing time evaluation model, and the information processing device can obtain from the database. The current inventory information, to-be-shipped inventory, and in-transit inventory quantity information of the target object (the total of current inventory information, to-be-shipped inventory, and in-transit inventory quantity information can be 50) and the target object's average daily sales information in the past 30 days (can be 10), the information processing device can use the inventory turnover calculation system to input the current inventory information, to-be-shipped inventory and in-transit inventory quantity information and the daily average sales information of the target object within 30 days of history into the target processing time evaluation model, and the inventory turnover calculation system uses Formula (2) and the delivery time of the supplier (3 days), how often to replenish the goods (1 day), the number of days for the target object to prepare the goods before selling (3 days), the number of additional security days (1 day), the target object The current inventory information, to-be-shipped inventory and in-transit inventory quantity information and the target object's daily average sales information within 30 days of history (10) are calculated to obtain the processing time information of the target object, that is, the processing time information is 13 days, and according to the processing time The information determines the number of target objects to be acquired in the next round of processing of the target objects, so as to acquire the number of target objects to be acquired before the next round of processing of the target objects.

It should be noted that when multiple preset business parameters, such as the supplier's delivery time, how often to replenish the goods, the number of days for the target object to prepare the goods before selling, and the number of additional security days are all 0, the information processing device will The processing duration evaluation model corresponding to formula (1) is used as the target processing duration evaluation model.

It should be noted that the additional safety days are due to some force majeure factors that may lead to a short stocking time in the early stage of replenishment, and some days are added to reduce the risk of calculating safety stock.

Exemplarily, as shown in Figure 3, a flow chart one of an exemplary information processing method provided in the embodiment of the present application:

S1. The information processing apparatus receives a plurality of preset service parameters, and configures an evaluation model corresponding to a preset processing duration according to the plurality of preset service parameters.

S2. The information processing apparatus generates preset service code information according to a plurality of preset service parameters and a preset processing duration evaluation model.

S3. The information processing apparatus determines the correspondence between the plurality of preset service parameters and the preset service coding information according to the plurality of preset service parameters and the preset service coding information.

S4. The information processing apparatus determines the corresponding relationship between the preset service coding information and the preset processing duration evaluation model according to the preset processing duration evaluation model and the preset service coding information.

S5. The information processing device obtains a plurality of preset service parameters and a plurality of preset service parameters according to the corresponding relationship between the preset service parameters and the preset service coding information and the corresponding relationship between the preset service coding information and the preset processing duration evaluation model. The corresponding relationship of the preset processing time evaluation model.

S6. In the case of receiving multiple service parameters of the target object, the information processing apparatus determines the target processing duration evaluation model corresponding to the multiple service parameters from the correspondence between the multiple preset service parameters and the preset processing duration evaluation model .

S7. The information processing apparatus acquires the current quantity information and historical average processing volume information of the target objects.

S8. The information processing apparatus inputs a plurality of business parameters, current quantity information and historical average processing volume information into the target processing duration evaluation model to obtain processing duration information of the target object.

Exemplarily, as shown in FIG. 4 , the information processing device includes an inventory turnover component, and the inventory turnover component includes a configuration module, a storage module, and an inventory turnover system. The information processing device can use data warehouse technology (Extract-Transform-Load, ETL) from The sales information of the target object is obtained from the sales information database, and the sales information is pushed to the storage module by using the data warehouse (Date Warehouse). The inventory turnover system uses the new standard Java Framework (JSF) technology for building web applications to call the business system, and connects the business system with the configuration module through the request-response (HTTP) protocol, so as to use the configuration module to configure multiple preset business parameters corresponding to The preset processing duration evaluation model, in the process of storing multiple preset service parameters and preset processing duration evaluation models in the storage module, preset service coding information is generated, and after obtaining multiple preset service parameters and preset service coding information After the corresponding relationship between the preset service coding information and the preset processing duration evaluation model, the corresponding relationship between the preset service parameters and the preset service coding information, the preset service coding information The corresponding relationship between the preset processing duration evaluation model and the preset processing duration evaluation model is obtained, and the corresponding relationship between the multiple preset business parameters and the preset processing duration evaluation model is obtained, and the storage module is used to store the multiple preset business parameters and the preset processing duration evaluation model. The corresponding relationship is stored. When the inventory turnover system obtains multiple business parameters of the target object, the inventory turnover system determines the target processing duration of the target object in the corresponding relationship between the multiple preset business parameters and the preset processing duration evaluation model according to the multiple business parameters Evaluation model; obtain the current quantity information and historical average processing volume information of the target object; use the target processing duration evaluation model to process multiple business parameters, current quantity information and historical average processing volume information to obtain the processing duration information of the target object, and then This processing time information is sent to the inventory system.

Exemplarily, as shown in FIG. 5 , a second flowchart of an exemplary information processing method provided by this embodiment of the present application:

S11. In the case of receiving multiple service parameters of the target object, the information processing apparatus determines the target processing duration evaluation model corresponding to the multiple service parameters from the correspondence between the multiple preset service parameters and the preset processing duration evaluation model .

In the embodiment of the present application, the business system introduces the pom package of the inventory turnover component through the inventory turnover system, and after using jsf to call the service of the inventory turnover component, the information processing transposition can provide the jsf service interface externally, and use the jsf service interface to transmit data.

It should be noted that the information processing device can use the jsf service interface to obtain the average sales volume information of the target object within 7 days of history, the average sales volume information of the target object within 28 days of history, the average sales volume information of the target object within 90 days of history, and the target object. current quantity information, etc.

S12, the information processing apparatus acquires the current quantity information and historical average processing volume information of the target objects.

S13. In the case where the plurality of parameter values corresponding to the plurality of business parameters are all preset parameter values, the information processing apparatus inputs the plurality of business parameters, the current quantity information and the historical average processing amount information into the first processing duration evaluation model, to obtain Processing duration information.

S14. In the case where at least one parameter value among the plurality of parameter values corresponding to the plurality of service parameters is not a preset parameter value, the information processing apparatus inputs the plurality of service parameters, the current quantity information and the historical average processing capacity information into the second parameter value. Evaluate the model for processing time and obtain processing time information.

S15. The information processing apparatus outputs processing duration information.

It should be noted that the information processing device can output the processing duration information to the caller; the information processing device can also output the processing duration information to the client; the information processing device can also use the display to output the processing duration information, which can be determined according to the actual situation. , which is not limited in the embodiments of the present application.

It can be understood that when the information processing apparatus receives multiple service parameters of the target object, the information processing apparatus can determine a plurality of preset service parameters from the corresponding relationship between the multiple preset service parameters and the preset processing duration evaluation model. The target processing time evaluation model corresponding to the business parameters is used to process multiple business parameters, current quantity information and average processing volume information of the target object by using the target processing time evaluation model, so as to obtain the processing time information of the target object and improve information processing. The accuracy with which the device determines the processing duration information of the target object.

Embodiment 2

Based on the same inventive concept of the first embodiment, the embodiment of the present application provides an information processing apparatus 1, which corresponds to an information processing method; FIG. 6 is a schematic diagram of the composition structure of an information processing apparatus provided by the embodiment of the present application. The information processing apparatus 1 may include:

The determining part 11 is configured to, in the case of receiving multiple service parameters of the target object, from the correspondence between multiple preset service parameters and the preset processing duration evaluation model, determine the target processing corresponding to the multiple service parameters Duration evaluation model; determine the quantity to be acquired in the next round of processing the target object according to the processing duration information, to obtain the target object of the quantity to be acquired before the next round of processing of the target object;

an acquisition part 12, configured to acquire the current quantity information and historical average throughput information of the target object;

The input part 13 is configured to input the plurality of business parameters, the current quantity information and the historical average processing volume information into the target processing duration evaluation model to obtain the processing duration information of the target object.

In some embodiments of the present application, the apparatus further includes a configuration part;

The acquiring part 12 is configured to acquire the plurality of preset service parameters;

The configuration part is configured to configure, according to the plurality of preset service parameters, an evaluation model for the preset processing duration corresponding to the plurality of preset service parameters;

The determining part 11 is configured to determine the corresponding relationship between the multiple preset service parameters and the preset processing duration evaluation model according to the multiple preset service parameters and the preset processing duration evaluation model.

In some embodiments of the present application, the acquisition part 12 is configured to acquire the acquisition duration parameter of the target object, the acquisition frequency parameter of the target object, and the reprocessing duration parameter of the target object;

Correspondingly, the configuration part is configured to configure the multi-component based on the acquisition duration parameter of the target object, the acquisition frequency parameter of the target object, the reprocessing duration parameter of the target object, and the preset configuration rule. The preset service parameters correspond to the preset processing duration evaluation model.

In some embodiments of the present application, the target processing duration evaluation model includes a first processing duration evaluation model and a second processing duration evaluation model, and the business parameter value of the first processing duration evaluation model is a preset parameter value, so The second processing duration evaluation model is a model other than the first processing duration evaluation model;

The determining part 11 is configured to determine multiple parameter values corresponding to the multiple service parameters;

The input part 13 is configured to input the plurality of service parameters, the current quantity information and the historical average processing amount information into the input part 13 when the plurality of parameter values are all the preset parameter values. The first processing duration evaluation model is used to obtain the processing duration information; in the case where at least one parameter value among the multiple parameter values is not the preset parameter value, the multiple service parameters, the The current quantity information and the historical average processing volume information are input into the second processing duration evaluation model to obtain the processing duration information.

In some embodiments of the present application, the apparatus further includes an output portion;

The output part is configured to output the processing duration information.

It should be noted that, in practical applications, the above determination part 11, acquisition part 12 and input part 13 can be realized by the processor 14 on the information processing device 1, specifically a CPU (Central Processing Unit, central processing unit), an MPU (Microprocessor Unit, microprocessor), DSP (Digital Signal Processing, digital signal processor) or Field Programmable Gate Array (FPGA, Field Programmable Gate Array) etc.; the above-mentioned data storage can be realized by the memory 15 on the information processing device 1.

An embodiment of the present application further provides an information processing apparatus 1. As shown in FIG. 7 , the information processing apparatus 1 includes: a processor 14, a memory 15, and a communication bus 16, and the memory 15 communicates with the communication bus 16 through the communication bus 16. The processor 14 communicates, and the memory 15 stores a program executable by the processor 14. When the program is executed, the information processing method as described above is executed by the processor 14.

In practical applications, the above-mentioned memory 15 may be a volatile memory (volatile memory), such as a random access memory (Random-Access Memory, RAM); or a non-volatile memory (non-volatile memory), such as a read-only memory (Read-Only Memory, ROM), flash memory (flash memory), hard disk (Hard Disk Drive, HDD) or solid-state hard disk (Solid-State Drive, SSD); Provide instructions and data.

An embodiment of the present application provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by the processor 14, the information processing method as described above is implemented.

As will be appreciated by those skilled in the art, the embodiments of the present application may be provided as a method, a system, or a computer program product. Accordingly, the application may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied therein, including but not limited to disk storage, optical storage, and the like.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It will be understood that each flow and/or block in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flows of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

The above descriptions are only preferred embodiments of the present application, and are not intended to limit the protection scope of the present application.

Industrial Applicability

Claims

An information processing method, the method comprising:

In the case of receiving multiple business parameters of the target object, from the correspondence between the multiple preset business parameters and the preset processing duration evaluation model, determine the target processing duration evaluation model corresponding to the multiple business parameters;

Obtain current quantity information and historical average throughput information of the target object;

Inputting the plurality of business parameters, the current quantity information and the historical average processing volume information into the target processing duration evaluation model to obtain processing duration information of the target object;

The quantity to be acquired in the next round of processing the target object is determined according to the processing duration information, so as to acquire the quantity of target objects to be acquired before the next round of processing of the target object.
The method according to claim 1, wherein before the target processing duration evaluation model corresponding to the plurality of business parameters is determined from the correspondence between the plurality of preset business parameters and the preset processing duration evaluation model, the Methods also include:

Acquiring the multiple preset service parameters, and configuring the preset processing duration evaluation model corresponding to the multiple preset service parameters according to the multiple preset service parameters;

According to the multiple preset service parameters and the preset processing duration evaluation model, the corresponding relationship between the multiple preset service parameters and the preset processing duration evaluation model is determined.
The method according to claim 2, wherein the acquiring the plurality of preset service parameters comprises:

acquiring the acquisition duration parameter of the target object, the acquisition frequency parameter of the target object, and the reprocessing duration parameter of the target object;

Correspondingly, configuring the preset processing duration evaluation model corresponding to the multiple preset service parameters according to the multiple preset service parameters includes:

Based on the acquisition duration parameter of the target object, the acquisition frequency parameter of the target object, the reprocessing duration parameter of the target object, and the preset configuration rule, configure the preset processing duration corresponding to the plurality of preset service parameters Evaluate the model.
The method according to claim 1, wherein the target processing duration evaluation model comprises a first processing duration evaluation model and a second processing duration evaluation model, and the service parameter value of the first processing duration evaluation model is a preset parameter value , the second processing duration evaluation model is a model other than the first processing duration evaluation model; the plurality of business parameters, the current quantity information and the historical average processing volume information are input into the target A processing duration evaluation model to obtain processing duration information of the target object, including:

determining multiple parameter values corresponding to the multiple service parameters;

In the case where the multiple parameter values are all the preset parameter values, the multiple service parameters, the current quantity information and the historical average processing volume information are input into the first processing duration evaluation model, obtain the processing duration information;

In the case where at least one parameter value in the plurality of parameter values is not the preset parameter value, input the plurality of service parameters, the current quantity information and the historical average processing amount information into the first parameter value. Second, the processing duration evaluation model is obtained, and the processing duration information is obtained.
The method according to claim 1, wherein the plurality of business parameters, the current quantity information and the historical average processing volume information are input into the target processing duration evaluation model to obtain the processing of the target object After the duration information, the method further includes:

The processing duration information is output.
An information processing device, the device comprising:

The determining part is configured to determine the target processing duration corresponding to the multiple business parameters from the correspondence between the multiple preset business parameters and the preset processing duration evaluation model in the case of receiving multiple business parameters of the target object evaluating the model; determining the quantity to be obtained in the next round of processing the target object according to the processing duration information, so as to obtain the target object of the quantity to be obtained before the next round of processing the target object;

an acquisition part, configured to acquire the current quantity information and historical average throughput information of the target object;

The input part is configured to input the plurality of business parameters, the current quantity information and the historical average processing volume information into the target processing duration evaluation model to obtain the processing duration information of the target object.
The apparatus of claim 6, wherein the apparatus further comprises a configuration portion;

the obtaining part is configured to obtain the plurality of preset service parameters;

The configuration part is configured to configure an evaluation model for the preset processing duration corresponding to the multiple preset service parameters according to the multiple preset service parameters;

The determining part is configured to determine the corresponding relationship between the plurality of preset service parameters and the preset processing duration evaluation model according to the plurality of preset service parameters and the preset processing duration evaluation model.
The apparatus of claim 7, wherein,

the acquisition part is configured to acquire the acquisition duration parameter of the target object, the acquisition frequency parameter of the target object and the reprocessing duration parameter of the target object;

Correspondingly, the configuration part is configured to configure the multi-component based on the acquisition duration parameter of the target object, the acquisition frequency parameter of the target object, the reprocessing duration parameter of the target object, and the preset configuration rule. The preset service parameters correspond to the preset processing duration evaluation model.
An information processing device, the device comprising:

A memory, a processor, and a communication bus, the memory communicating with the processor through the communication bus, the memory storing a program for information processing executable by the processor, when the information processing program is executed , the method according to any one of claims 1 to 5 is executed by the processor.
A storage medium on which a computer program is stored and applied to an information processing apparatus, when the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.