Information processing method, device and storage medium

Abstract

The embodiment of the present invention discloses an information processing method and device, and a storage medium, including: when receiving multiple business parameters of a target object, determining a target processing time evaluation model corresponding to the multiple business parameters from the correspondence between multiple preset business parameters and preset processing time evaluation models; obtaining current quantity information and historical average processing volume information of the target object; inputting multiple business parameters, current quantity information and historical average processing volume information into the target processing time evaluation model to obtain processing time information of the target object; determining the number to be obtained in the next round of processing of the target object according to the processing time information, so as to obtain the target objects of the number to be obtained before the next round of processing of the target object.

Description

Technical Field

[0001] The present invention relates to the field of information processing technology, and in particular to an information processing method and device, and a storage medium. Background Art

[0002] In recent years, with the development of Internet technology, the target object can be promoted and publicized by using Internet technology, so that more users can obtain the target object.

[0003] In the prior art, before the user obtains the target object, the target object is stored in a repository, and the processing time information of the target object is usually determined based on the number information of the target objects in the current repository and the average processing information of the target objects. Due to the influence of various factors, the accuracy of determining the processing time information of the target object is reduced. Summary of the invention

[0004] In order to solve the above technical problems, embodiments of the present invention hope to provide an information processing method and device, and a storage medium, which can improve the accuracy of determining the processing time information of the target object.

[0005] The technical solution of the present invention is achieved in this way:

[0006] The present application provides an information processing method, including:

[0007] In the case of receiving multiple business parameters of the target object, determining the target processing time evaluation model corresponding to the multiple business parameters from the correspondence between the multiple preset business parameters and the preset processing time evaluation model;

[0008] Obtaining current quantity information and historical average processing volume information of the target object;

[0009] Inputting the plurality of business parameters, the current quantity information and the historical average processing volume information into the target processing time evaluation model to obtain the processing time information of the target object;

[0010] The number of target objects to be acquired in the next round of processing of the target objects is determined according to the processing duration information, so as to acquire the target objects to be acquired before the next round of processing of the target objects.

[0011] The present application provides an information processing device, the device comprising:

[0012] A determination unit is used to determine, when receiving multiple business parameters of a target object, a target processing time evaluation model corresponding to the multiple business parameters from a correspondence between multiple preset business parameters and preset processing time evaluation models; determine the number of objects to be acquired in the next round of processing of the target object according to the processing time information, so as to acquire the target objects to be acquired before the next round of processing of the target object;

[0013] An acquisition unit, used to acquire current quantity information and historical average processing volume information of the target object;

[0014] An input unit is used to input the multiple business parameters, the current quantity information and the historical average processing volume information into the target processing time evaluation model to obtain the processing time information of the target object.

[0015] The present application provides an information processing device, the device comprising:

[0016] A memory, a processor and a communication bus, wherein the memory communicates with the processor via the communication bus, and the memory stores an information processing program executable by the processor. When the information processing program is executed, the information processing method described above is executed by the processor.

[0017] An embodiment of the present application provides a storage medium having a computer program stored thereon, which is applied to an information processing device, and is characterized in that the computer program implements the above-mentioned information processing method when executed by a processor.

[0018] The embodiment of the present invention provides an information processing method, device and storage medium. The information processing method includes: when receiving multiple business parameters of a target object, determining a target processing time evaluation model corresponding to the multiple business parameters from the corresponding relationship between multiple preset business parameters and the preset processing time evaluation model; obtaining the current quantity information and the historical average processing volume information of the target object; inputting the multiple business parameters, the current quantity information and the historical average processing volume information into the target processing time evaluation model to obtain the processing time information of the target object; determining the number to be obtained in the next round of processing of the target object according to the processing time information, so as to obtain the target objects of the number to be obtained before the next round of processing of the target object. By adopting the above method implementation scheme, when the information processing device receives multiple business parameters of the target object, the information processing device can determine the target processing time evaluation model corresponding to the multiple business parameters from the corresponding relationship between multiple preset business parameters and the preset processing time evaluation model, so as to process the multiple business parameters, the current quantity information and the 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, thereby improving the accuracy of the information processing device in determining the processing time information of the target object. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A flow chart of an information processing method provided in an embodiment of the present application;

[0020] Figure 2 A schematic diagram of the structure of an exemplary information processing device provided in an embodiment of the present application Figure 1 ;

[0021] Figure 3 An exemplary information processing method provided in the embodiment of the present application Figure 1 ;

[0022] Figure 4 A schematic diagram of the structure of an exemplary information processing device provided in an embodiment of the present application Figure 2 ;

[0023] Figure 5 An exemplary information processing method provided in the embodiment of the present application Figure 2

[0024] Figure 6 A schematic diagram of the structure of an information processing device provided in an embodiment of the present application Figure 1 ;

[0025] Figure 7 A schematic diagram of the structure of an information processing device provided in an embodiment of the present application Figure 2 . DETAILED DESCRIPTION

[0026] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0027] Embodiment 1

[0028] The present application embodiment provides an information processing method, Figure 1 A flow chart of an information processing method provided in an embodiment of the present application, such as Figure 1 As shown, the information processing method may include:

[0029] S101. When receiving multiple business parameters of a target object, determine a target processing time evaluation model corresponding to the multiple business parameters from a correspondence between the multiple preset business parameters and the preset processing time evaluation model.

[0030] An information processing method provided in an embodiment of the present application is suitable for a scenario in which an information processing device uses a target processing time evaluation model to determine processing time information of a target object.

[0031] In the embodiments of the present application, the information processing device can be implemented in various forms. For example, the information processing device described in the present application may include devices such as mobile phones, cameras, tablet computers, laptop computers, PDAs, portable media players (PMPs), navigation devices, wearable devices, smart bracelets, pedometers, and devices such as digital TVs and desktop computers.

[0032] In the embodiment of the present application, the target object may be a commodity, a courier, or other objects. The specific target object may be determined according to the actual situation, and the embodiment of the present application does not limit this.

[0033] In the embodiment of the present application, if the target object is a commodity, the multiple business parameters can be parameters of different dimensions of the target object. Exemplarily, the multiple business parameters include: acquisition time parameter of the target object (supplier delivery time), acquisition frequency parameter of the target object (i.e., how often the goods are replenished), reprocessing time parameter of the target object (i.e., the number of days to prepare the goods before selling, and the phenomenon that the stock preparation time may be short in the early stage of replenishment due to certain force majeure factors, this dimension is to add some days to reduce the risk of calculating safety stock), etc.

[0034] It should be noted that the acquisition duration parameter of the target object is information configured according to the supplier's fulfillment capability; the acquisition frequency parameter of the target object is information configured according to the supplier's fulfillment capability and the sales situation of the goods; the reprocessing time parameter of the target object is information configured according to the operation and stocking capacity of the warehouse and the additional safety days of the target object are information on the safety inventory days configured according to the normal operation of the goods.

[0035] In an embodiment of the present application, the information processing device can obtain multiple business parameters input by the user from the business parameter acquisition web page, so that the information processing device can receive multiple business parameters of the target object; the information processing device can also obtain multiple business parameters input by the user from other devices, so that the information processing device can receive multiple business parameters of the target object. The specific details can be determined according to actual conditions, and the embodiment of the present application is not limited to this.

[0036] In an embodiment of the present application, a correspondence between multiple preset business parameters and preset processing time evaluation models is set in the information processing device. When the information processing device receives multiple business parameters of the target object, the information processing device can determine the target processing time evaluation model based on the multiple business parameters and the correspondence between the multiple preset business parameters and the preset processing time evaluation model.

[0037] In an embodiment of the present application, when the information processing device receives multiple business parameters of the target object, the information processing device can search for multiple first business parameters that match the multiple business parameters among the multiple preset business parameters, and determine the first preset business coding information corresponding to the multiple first business parameters in the correspondence between the multiple preset business parameters and the preset business coding information, and use the first business coding information as the business coding information corresponding to the multiple business parameters.

[0038] In an embodiment of the present application, after the information processing device determines the service coding information corresponding to multiple service parameters, the information processing device can search for the first service coding information that matches the service coding information in the preset service coding information, and determine the first processing time evaluation model corresponding to the first service coding information in the correspondence between the preset service coding information and the preset processing time evaluation model, and use the first processing time evaluation model as the processing time evaluation model.

[0039] It should be noted that the preset service coding information can be the coding information obtained by the information processing device and has a corresponding relationship with multiple preset service parameters and a preset processing time evaluation model, or it can be the coding information generated by the information processing device and has a corresponding relationship with multiple preset service parameters and a preset processing time evaluation model. The specific information can be determined according to actual conditions, and the embodiments of the present application are not limited to this.

[0040] In the embodiment of the present application, the preset service coding information may be the coding information generated by the information processing device when storing the received preset coding information and the preset processing time evaluation model. Specifically, the coding information may be the location information of the preset coding information and the preset processing time evaluation model stored by the information processing device; the coding information may also be the numbering information when the information processing device stores the preset coding information and the preset processing time evaluation model; the coding information may also be the random number information generated by the information processing device using random numbers when storing the preset coding information and the preset processing time evaluation model. The specific information may be determined according to the actual situation, and the embodiment of the present application does not limit this.

[0041] For example, Figure 2 As shown, after the configuration module of the information processing device configures the preset processing time evaluation model, the information processing device uses the storage module to store multiple preset business parameters and the preset processing time evaluation model. At the same time, the association module of the information processing device generates preset business coding information during the process of storing multiple preset business parameters and the preset processing time evaluation model in the storage module, and associates multiple preset business parameters with the preset business coding information to obtain the corresponding relationship between multiple preset business parameters and the preset business coding information. After associating the preset processing time evaluation model with the preset business coding information to obtain the corresponding relationship between the preset business coding information and the preset processing time evaluation model, the information processing device uses the storage module to store the corresponding relationship between multiple preset business parameters and the preset business coding information and the corresponding relationship between the preset business coding information and the preset processing time evaluation model. Finally, the information processing device returns the preset business coding information to the configuration module so that the information processing device can find the corresponding preset processing time evaluation model according to the preset business coding information.

[0042] It should be noted that the information processing device can use the storage module to store the correspondence between multiple preset business parameters and preset business coding information, and the correspondence between the preset business coding information and the preset processing time evaluation model in a relational database.

[0043] It should be noted that the information processing device can obtain the correspondence between multiple preset business parameters and preset business coding information, and the correspondence between the preset business coding information and the preset processing time evaluation model. After that, the information processing device can use the storage module to store the correspondence between the multiple preset business parameters and the preset processing time evaluation model.

[0044] In an embodiment of the present application, before the information processing device determines the target processing time evaluation model corresponding to multiple business parameters from the correspondence between multiple preset business parameters and the preset processing time evaluation model, the information processing device will also obtain multiple preset business parameters; the information processing device configures multiple preset business parameters corresponding to the preset processing time evaluation model according to the multiple preset business parameters; the information processing device determines the correspondence between multiple preset business parameters and the preset processing time evaluation model based on the multiple preset business parameters and the preset processing time evaluation model.

[0045] In an embodiment of the present application, the process of the information processing device acquiring multiple preset business parameters includes: the information processing device acquires the acquisition time parameter of the target object, the acquisition frequency parameter of the target object, and the reprocessing time parameter of the target object. The process of the information processing device configuring multiple preset business parameters corresponding to the preset processing time evaluation model according to the multiple preset business parameters includes: the information processing device configures the multiple preset business parameters corresponding to the preset processing time evaluation model based on the acquisition time parameter of the target object, the acquisition frequency parameter of the target object, the reprocessing time parameter of the target object, and the preset configuration rules.

[0046] In an embodiment of the present application, the information processing device can obtain the input target object acquisition time parameters, target object acquisition frequency parameters and target object reprocessing time parameters in a preset information acquisition page. The information processing device can also obtain the target object acquisition time parameters, target object acquisition frequency parameters and target object reprocessing time parameters from other devices. The specific parameters can be determined according to actual conditions, and the embodiment of the present application is not limited to this.

[0047] In an embodiment of the present application, when the information processing device obtains multiple new business parameters and configuration rules, the information processing device can select different new business parameters and configuration rules to combine and save them to complete a process of adding new business parameters and configuration rules. At the same time, in the process of saving the new business parameters and configuration rules, new rules are generated and recorded. Exemplarily, the new rule generated is STOCK_COMPUTE_RULE.

[0048] In an embodiment of the present application, the information processing device can bind the new rules to the specified supplier or commodity category, and generate an association relationship for recording, so that when the business system is connected to the inventory turnover component, the new rules can be used to calculate the processing time information of the target object.

[0049] S102: Obtain current quantity information and historical average processing volume information of target objects.

[0050] In an embodiment of the present application, after the information processing device determines the target processing time evaluation model corresponding to multiple business parameters from the correspondence between multiple preset business parameters and the preset processing time evaluation model, the information processing device obtains the current quantity information and historical average processing volume information of the target object.

[0051] In an 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, inventory to be shipped, and inventory quantity information in transit of the target object; wherein, the inventory to be shipped and inventory quantity information in transit may be the inventory to be shipped and inventory in transit information from the supplier of the target object to the warehouse; the historical average processing volume information may be the average sales information of the target object over a period of time.

[0052] It should be noted that the period of time can be within a month, a quarter, or a few days. The specific period of time can be determined based on actual conditions, and the embodiments of the present application do not limit this.

[0053] S103: Input multiple business parameters, current quantity information and historical average processing volume information into a target processing time evaluation model to obtain processing time information of the target object.

[0054] In an embodiment of the present application, after the information processing device obtains the current quantity information and historical average processing volume information of the target object, the information processing device can input multiple business parameters, current quantity information and historical average processing volume information into the target processing time evaluation model to obtain the processing time information of the target object.

[0055] In the embodiment of the present application, if the target object is a commodity, the processing time information of the target object is the inventory turnover time of the commodity.

[0056] In an embodiment of the present application, the target processing time evaluation model includes a first processing time evaluation model and a second processing time evaluation model, the business parameter value of the first processing time evaluation model is a preset parameter value, and the second processing time evaluation model is a model other than the first processing time evaluation model. The process in which the information processing device inputs multiple business parameters, current quantity information, and historical average processing volume information into the processing time evaluation model to obtain the processing time information of the target object includes: the information processing device determines multiple parameter values ​​corresponding to the multiple 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 business parameters, the current quantity information, and the historical average processing volume information into the first processing time evaluation model to obtain the processing time information; when the information processing device determines that at least one parameter value among the multiple parameter values ​​is not a preset parameter value, the information processing device inputs the multiple business parameters, the current quantity information, and the historical average processing volume information into the second processing time evaluation model to obtain the processing time information.

[0057] In an embodiment of the present application, the preset parameter value may be a parameter value configured in the information processing device, or a parameter value received by the information processing device, or a parameter value obtained by the information processing device in other ways. The specific value may be determined based on actual conditions, and the embodiment of the present application does not limit this.

[0058] In the embodiment of the present application, the preset parameter value can be 0, the preset parameter value can also be 1, and the preset parameter value can also be other numerical values. The specific value can be determined according to actual conditions, and the embodiment of the present application does not limit this.

[0059] In an embodiment of the present application, when any parameter value among the multiple parameter values ​​corresponding to the multiple business parameters received by the information processing device is empty (that is, the information processing device has not received any parameter value among the multiple parameter values), the information processing device will set any parameter value as the preset parameter value.

[0060] In an embodiment of the present application, the target processing time evaluation model can be a convolutional neural network model, and the target processing time evaluation model can also be a formula, which can be determined according to actual conditions, and the embodiment of the present application does not limit this.

[0061] In the embodiment of the present application, if the target processing time evaluation model is a formula, the first processing time evaluation model can be expressed by formula (1):

[0062]

[0063] 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 inventory to be shipped and the inventory in transit quantity information; It is the total sales information of the target object in the past 30 days.

[0064] It should be noted that the preset parameter value can be 0. When the information processing device determines that the parameter values ​​of the preset parameters are all 0, the information processing device uses the first processing time evaluation model to process the current quantity information, inventory to be shipped, inventory quantity information in transit, and historical average processing volume information, thereby obtaining the processing time information of the target object.

[0065] In the embodiment of the present application, if the target processing time evaluation model is a formula, the second processing time evaluation model can be expressed by formula (2):

[0066]

[0067] Specifically, the multiple business parameters of the target object may be four parameter information, namely VLT, NR, TBP and BufferDays.

[0068] It should be noted that VLT is the supplier delivery time information of the target object's target object; NR is the replenishment frequency information of the target object's target object; TBP is the stocking days information of the target object's target object; BufferDays is the additional safety days information of the target object's 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.

[0069] It should also be noted that the T, Avg_Num, avi, and tra in formula (2) have the same meaning as the T, Avg_Num, avi, and tra parameters in formula (1).

[0070] In an 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 time evaluation model. After obtaining the processing time information of the target object, the information processing device can output the processing time information of the target object.

[0071] It should be noted that the information processing device can output the processing time information by displaying the processing time information on a display, or by outputting the processing time information to a receiving device. The specific method can be determined based on actual conditions, and the embodiments of the present application do not limit this.

[0072] In an embodiment of the present application, a display is provided in the information processing device, and the information processing device can use the display to display the processing time information. The information processing device can also transmit the information processing time information to other devices so as to use the displays provided in other devices to display the processing time information. The specific information can be determined according to actual conditions, and the embodiment of the present application does not limit this.

[0073] In an embodiment of the present application, after obtaining the processing time information of the target object, the information processing device can directly display the processing time information; the information processing device can also transmit the processing time information to a receiving device so that other devices can be used to process or display the processing time information. The specific details can be determined according to actual conditions, and the embodiment of the present application does not limit this.

[0074] It should be noted that the receiving device may be a business system, a client, or other devices, which may be determined based on actual conditions and is not limited in this embodiment of the present application.

[0075] It should be noted that the information processing device may transmit the processing time information to the receiving device by using a back-end interface, or by wirelessly transmitting the processing time information to the receiving device. The specific method may be determined based on actual conditions, and the embodiments of the present application are not limited to this.

[0076] S104. Determine the number of target objects to be acquired in the next round of processing of the target objects according to the processing duration information, so as to acquire the target objects to be acquired before the next round of processing of the target objects.

[0077] In an 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 time evaluation model. After obtaining the processing time information of the target object, the information processing device can determine the quantity to be obtained in the next round of processing of the target object based on the processing time information.

[0078] It should be noted that if the target object is a commodity, the quantity to be obtained may be the quantity information of the next purchase of the commodity by the merchant.

[0079] Exemplarily, when the information processing device receives multiple preset business parameters configured by the operator from the configuration module, such as the supplier delivery time (which can be 3 days), the replenishment time (which can be 1 day), the number of days for preparing goods before selling the target object (which can be 3 days), and the additional safety days (which can be 1 day), the information processing device uses formula (2) as the target processing time evaluation model, and can obtain the current inventory information, the inventory to be shipped, and the in-transit inventory quantity information of the target object (the current inventory information, the inventory to be shipped, and the in-transit inventory quantity information can be 50 in total) and the average daily sales information of the target object in the past 30 days from the database. (may be 10), the information processing device can use the inventory turnover calculation system to input the current inventory information, the inventory to be shipped and the inventory quantity information in transit and the average daily sales information of the target object in the past 30 days into the target processing time evaluation model, and the inventory turnover calculation system uses formula (2) and the supplier's delivery time (3 days), how often the goods are replenished (1 day), the number of days for the target object to prepare the goods before selling (3 days), the additional safety days (1 day), the current inventory information of the target object, the inventory to be shipped and the inventory quantity information in transit and the average daily sales information of the target object in the past 30 days (10) to calculate the processing time information of the target object, that is, the processing time information is 13 days, and determines the number to be obtained in the next round of processing of the target object according to the processing time information, so as to obtain the target object of the number to be obtained before the next round of processing of the target object.

[0080] It should be noted that when multiple preset business parameters such as the supplier's delivery time, the replenishment frequency, the number of days for the target object to prepare the goods before selling, and the additional safety days are all 0, the information processing device uses the processing time evaluation model corresponding to formula (1) as the target processing time evaluation model.

[0081] It should be noted that the additional safety days are added to reduce the risk of calculating the safety stock due to certain force majeure factors that may result in a shorter preparation time for replenishment in the early stage.

[0082] For example, Figure 3 The following is an exemplary information processing method provided by the present invention. Figure 1 :

[0083] 1. The information processing device receives a plurality of preset business parameters, and configures a plurality of preset business parameter corresponding preset processing time evaluation models according to the plurality of preset business parameters.

[0084] 2. The information processing device generates preset service coding information according to a plurality of preset service parameters and a preset processing time evaluation model.

[0085] 3. The information processing device determines the correspondence between the multiple preset service parameters and the preset service coding information according to the multiple preset service parameters and the preset service coding information.

[0086] 4. The information processing device determines the corresponding relationship between the preset service coding information and the preset processing time evaluation model according to the preset processing time evaluation model and the preset service coding information.

[0087] 5. The information processing device obtains the correspondence between multiple preset business parameters and the preset processing time evaluation model according to the correspondence between multiple preset business parameters and the preset business coding information and the correspondence between the preset business coding information and the preset processing time evaluation model.

[0088] 6. When receiving multiple business parameters of the target object, the information processing device determines the target processing time evaluation model corresponding to the multiple business parameters from the correspondence between the multiple preset business parameters and the preset processing time evaluation model.

[0089] 7. The information processing device obtains the current quantity information and historical average processing volume information of the target object.

[0090] 8. The information processing device inputs multiple business parameters, current quantity information and historical average processing volume information into the target processing time evaluation model to obtain the processing time information of the target object.

[0091] For example, Figure 4As shown, the information processing device includes an inventory turnover component, which 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) to obtain the sales information of the target object from the sales information library, and use the data warehouse (DateWarehouse) to push the sales information to the storage module. 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 to the configuration module through the request-response (HTTP) protocol, so as to use the configuration module to configure the preset processing time evaluation model corresponding to multiple preset business parameters. In the process of storing multiple preset business parameters and the preset processing time evaluation model in the storage module, preset business coding information is generated. After obtaining the corresponding relationship between multiple preset business parameters and the preset business coding information, and the corresponding relationship between the preset business coding information and the preset processing time evaluation model, the corresponding relationship between multiple preset business parameters and the preset processing time evaluation model is obtained according to the corresponding relationship between multiple preset business parameters and the preset business coding information, and the corresponding relationship between the preset business coding information and the preset processing time evaluation model, and the corresponding relationship between the preset business coding information and the preset processing time evaluation model is stored by using the storage module. When the inventory turnover system obtains multiple business parameters of the target object, the inventory turnover system determines the target processing time evaluation model of the target object according to the correspondence between multiple preset business parameters and preset processing time evaluation models; obtains the current quantity information and the historical average processing volume information of the target object; uses the target processing time evaluation model to process the multiple business parameters, the current quantity information and the historical average processing volume information to obtain the processing time information of the target object, and sends the processing time information to the inventory system.

[0092] For example, Figure 5 The following is an exemplary information processing method provided by the present invention. Figure 2 :

[0093] 11. When receiving multiple business parameters of the target object, the information processing device determines the target processing time evaluation model corresponding to the multiple business parameters from the correspondence between the multiple preset business parameters and the preset processing time evaluation model.

[0094] In an embodiment of the present application, the business system introduces the pom package of the inventory turnover component through the inventory turnover system. After calling the inventory turnover component service using jsf, the information processing transposition can provide a jsf service interface to the outside world and use the jsf service interface to transmit data.

[0095] It should be noted that the information processing device can use the jsf service interface to obtain the target object's average sales information within the past 7 days, the target object's average sales information within the past 28 days, the target object's average sales information within the past 90 days, and the target object's current quantity information, etc.

[0096] 12. The information processing device obtains the current quantity information and historical average processing volume information of the target object.

[0097] 13. When multiple parameter values ​​corresponding to multiple business parameters are all preset parameter values, the information processing device inputs the multiple business parameters, current quantity information and historical average processing volume information into a first processing time evaluation model to obtain processing time information.

[0098] 14. When at least one parameter value among the multiple parameter values ​​corresponding to the multiple business parameters is not a preset parameter value, the information processing device inputs the multiple business parameters, current quantity information and historical average processing volume information into a second processing time evaluation model to obtain processing time information.

[0099] 15. The information processing device outputs processing time information.

[0100] It should be noted that the information processing device can output processing time information to the caller; the information processing device can also output processing time information to the client; the information processing device can also use a display to output processing time information, the specific time can be determined according to actual conditions, and the embodiments of the present application do not limit this.

[0101] It can be understood that when the information processing device receives multiple business parameters of the target object, the information processing device can determine the target processing time evaluation model corresponding to the multiple business parameters from the correspondence between the multiple preset business parameters and the preset processing time evaluation model, and use the target processing time evaluation model to process the multiple business parameters, current quantity information and average processing volume information of the target object, so as to obtain the processing time information of the target object, thereby improving the accuracy of the information processing device in determining the processing time information of the target object.

[0102] Embodiment 2

[0103] Based on the same inventive concept of the first embodiment, the embodiment of the present application provides an information processing device 1, corresponding to an information processing method; Figure 6 A schematic diagram of the structure of an information processing device provided in an embodiment of the present application Figure 1 , the information processing device 1 may include:

[0104] The determining unit 11 is used to determine the target processing time evaluation model corresponding to the multiple business parameters from the corresponding relationship between the multiple preset business parameters and the preset processing time evaluation model when receiving multiple business parameters of the target object; determine the number of objects to be acquired in the next round of processing of the target object according to the processing time information, so as to acquire the target objects to be acquired before the next round of processing of the target object;

[0105] An acquisition unit 12 is used to acquire current quantity information and historical average processing volume information of the target object;

[0106] The input unit 13 is used to input the multiple business parameters, the current quantity information and the historical average processing volume information into the target processing time evaluation model to obtain the processing time information of the target object.

[0107] In some embodiments of the present application, the apparatus further comprises a configuration unit;

[0108] The acquisition unit 12 is used to acquire the plurality of preset service parameters;

[0109] The configuration unit is used to configure the preset processing time evaluation models corresponding to the multiple preset business parameters according to the multiple preset business parameters;

[0110] The determining unit 11 is used to determine the corresponding relationship between the multiple preset business parameters and the preset processing time evaluation model according to the multiple preset business parameters and the preset processing time evaluation model.

[0111] In some embodiments of the present application,

[0112] The acquisition unit is used to acquire an acquisition duration parameter of the target object, an acquisition frequency parameter of the target object, and a reprocessing duration parameter of the target object;

[0113] Correspondingly, the configuration unit is used to configure the preset processing time evaluation model corresponding to the multiple preset business parameters based on the acquisition time parameter of the target object, the acquisition frequency parameter of the target object, the reprocessing time parameter of the target object, and the preset configuration rules.

[0114] In some embodiments of the present application, the target processing time evaluation model includes a first processing time evaluation model and a second processing time evaluation model, the business parameter value of the first processing time evaluation model is a preset parameter value, and the second processing time evaluation model is a model other than the first processing time evaluation model;

[0115] The determining unit 11 is used to determine multiple parameter values ​​corresponding to the multiple business parameters;

[0116] The input unit 13 is used to input the multiple business parameters, the current quantity information and the historical average processing volume information into the first processing time evaluation model to obtain the processing time information when the multiple parameter values ​​are all the preset parameter values; and to input the multiple business parameters, the current quantity information and the historical average processing volume information into the second processing time evaluation model to obtain the processing time information when at least one parameter value among the multiple parameter values ​​is not the preset parameter value.

[0117] In some embodiments of the present application, the device further comprises an output unit;

[0118] The output unit is used to output the processing duration information.

[0119] It should be noted that, in actual applications, the above-mentioned determination unit 11, acquisition unit 12 and input unit 13 can be implemented by a processor 14 on the information processing device 1, specifically a CPU (Central Processing Unit), an MPU (Microprocessor Unit), a DSP (Digital Signal Processing) or a field programmable gate array (FPGA); the above-mentioned data storage can be implemented by a memory 15 on the information processing device 1.

[0120] The embodiment of the present invention further provides an information processing device 1, such as Figure 7 As shown, the information processing device 1 includes: a processor 14, a memory 15 and a communication bus 16. The memory 15 communicates with the processor 14 via the communication bus 16. The memory 15 stores a program executable by the processor 14. When the program is executed, the information processing method described above is executed by the processor 14.

[0121] In practical applications, the memory 15 may be a volatile memory, such as a random access memory (RAM); or a non-volatile memory, such as a read-only memory (ROM), a flash memory, a hard disk (HDD) or a solid-state drive (SSD); or a combination of the above types of memory, and provide instructions and data to the processor 14.

[0122] An embodiment of the present invention provides a computer-readable storage medium having a computer program thereon, and when the program is executed by the processor 14, the information processing method as described above is implemented.

[0123] It can be understood that when the information processing device receives multiple business parameters of the target object, the information processing device can determine the target processing time evaluation model corresponding to the multiple business parameters from the correspondence between the multiple preset business parameters and the preset processing time evaluation model, and use the target processing time evaluation model to process the multiple business parameters, current quantity information and average processing volume information of the target object, so as to obtain the processing time information of the target object, thereby improving the accuracy of the information processing device in determining the processing time information of the target object.

[0124] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0125] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0126] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0127] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0128] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention.

Claims

1. An information processing method, characterized in that: The method comprises: In the case of receiving multiple business parameters of a target object, determining a target processing time evaluation model corresponding to the multiple business parameters from a correspondence between multiple preset business parameters and preset processing time evaluation models; wherein the target object includes a commodity, and the multiple business parameters include a delivery time, a replenishment frequency, and a number of preparation days before selling; Obtaining current quantity information and historical average processing volume 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 time evaluation model to obtain the processing time information of the target object; Determine the number of target objects to be acquired in the next round of processing of the target objects according to the processing duration information, so as to acquire the target objects to be acquired before the next round of processing of the target objects; The step of inputting the plurality of business parameters, the current quantity information and the historical average processing volume information into the target processing time evaluation model to obtain the processing time information of the target object includes: Determining multiple parameter values ​​corresponding to the multiple business parameters; In a case where the multiple parameter values ​​are all the preset parameter values, the multiple business parameters, the current quantity information and the historical average processing volume information are input into a first processing time evaluation model to obtain the processing time information; When at least one parameter value among the multiple parameter values ​​is not the preset parameter value, the multiple business parameters, the current quantity information and the historical average processing volume information are input into a second processing time evaluation model to obtain the processing time information; the target processing time evaluation model includes the first processing time evaluation model and the second processing time evaluation model, the business parameter value of the first processing time evaluation model is the preset parameter value, and the second processing time evaluation model is a model other than the first processing time evaluation model.

2. The method according to claim 1, characterized in that Before determining the target processing time evaluation model corresponding to the plurality of preset business parameters from the correspondence between the plurality of preset business parameters and the preset processing time evaluation model, the method further includes: Acquire the plurality of preset business parameters, and configure preset processing time evaluation models corresponding to the plurality of preset business parameters according to the plurality of preset business parameters; According to the plurality of preset service parameters and the preset processing time evaluation model, a correspondence between the plurality of preset service parameters and the preset processing time evaluation model is determined.

3. The method according to claim 2, characterized in that The obtaining of the plurality of preset service parameters comprises: Acquire an acquisition time parameter of the target object, an acquisition frequency parameter of the target object, and a reprocessing time parameter of the target object; wherein the acquisition time parameter includes the delivery time, the acquisition frequency parameter includes the replenishment frequency, and the reprocessing time parameter includes the number of preparation days before selling; Correspondingly, configuring the preset processing time evaluation models corresponding to the multiple preset business parameters according to the multiple preset business parameters includes: Based on the delivery time of the target object, the replenishment frequency of the target object, the preparation days before the sale of the target object, and the preset configuration rules, the plurality of preset business parameters are configured to correspond to the preset processing time evaluation model.

4. The method according to claim 1, characterized in that: After inputting the plurality of business parameters, the current quantity information and the historical average processing volume information into the target processing time evaluation model to obtain the processing time information of the target object, the method further includes: The processing duration information is output.

5. An information processing device, characterized in that: The device comprises: A determination unit is configured to, upon receiving a plurality of business parameters of a target object, determine a target processing time evaluation model corresponding to the plurality of business parameters from a correspondence between a plurality of preset business parameters and a preset processing time evaluation model; determine a quantity to be acquired in a next round of processing of the target object according to the processing time information, so as to acquire the target objects of the quantity to be acquired before the next round of processing of the target object; wherein the target object includes a commodity, and the plurality of business parameters include a delivery time, a replenishment frequency, and a number of preparation days before selling; An acquisition unit, used to acquire current quantity information and historical average processing volume information of the target object; An input unit, used for inputting the plurality of business parameters, the current quantity information and the historical average processing volume information into the target processing time evaluation model to obtain the processing time information of the target object; The step of inputting the plurality of business parameters, the current quantity information and the historical average processing volume information into the target processing time evaluation model to obtain the processing time information of the target object includes: Determining multiple parameter values ​​corresponding to the multiple business parameters; In a case where the multiple parameter values ​​are all the preset parameter values, the multiple business parameters, the current quantity information and the historical average processing volume information are input into a first processing time evaluation model to obtain the processing time information; When at least one parameter value among the multiple parameter values ​​is not the preset parameter value, the multiple business parameters, the current quantity information and the historical average processing volume information are input into a second processing time evaluation model to obtain the processing time information; the target processing time evaluation model includes the first processing time evaluation model and the second processing time evaluation model, the business parameter value of the first processing time evaluation model is the preset parameter value, and the second processing time evaluation model is a model other than the first processing time evaluation model.

6. The device according to claim 5, characterized in that The device also includes a configuration unit; The acquisition unit is used to acquire the multiple preset service parameters; The configuration unit is used to configure the preset processing time evaluation models corresponding to the multiple preset business parameters according to the multiple preset business parameters; The determining unit is used to determine the corresponding relationship between the multiple preset business parameters and the preset processing time evaluation model according to the multiple preset business parameters and the preset processing time evaluation model.

7. The device according to claim 6, characterized in that The acquisition unit is used to acquire an acquisition duration parameter of the target object, an acquisition frequency parameter of the target object, and a reprocessing duration parameter of the target object; Correspondingly, the configuration unit is used to configure the preset processing time evaluation model corresponding to the multiple preset business parameters based on the acquisition time parameter of the target object, the acquisition frequency parameter of the target object, the reprocessing time parameter of the target object, and the preset configuration rules.

8. An information processing device, characterized in that: The device comprises: A memory, a processor and a communication bus, wherein the memory communicates with the processor via the communication bus, the memory stores an information processing program executable by the processor, and when the information processing program is executed, the method according to any one of claims 1 to 4 is performed by the processor.

9. A storage medium having a computer program stored thereon, applied to an information processing device, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

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