CN111861075B

CN111861075B - Resource allocation method, resource allocation device and readable storage medium

Info

Publication number: CN111861075B
Application number: CN201910414640.XA
Authority: CN
Inventors: 向舒粲; 唐明; 李敏; 王瑜
Original assignee: Beijing Didi Infinity Technology and Development Co Ltd
Current assignee: Beijing Didi Infinity Technology and Development Co Ltd
Priority date: 2019-05-17
Filing date: 2019-05-17
Publication date: 2024-04-16
Anticipated expiration: 2039-05-17
Also published as: CN111861075A

Abstract

The application provides a resource allocation method, a resource allocation device and a readable storage medium, wherein exchange resource information is determined by acquiring predicted order receiving amounts of target service sites and mapping relation information between service order receiving amounts and exchange resources in different time periods, and excitation resource allocation information of the target service sites in each time period in the next time period is determined by combining actual order receiving amounts of the target service sites in each time period in the current time period, so that excitation resources in each time period in the next time period are allocated for the target service sites. Therefore, the information exchange of the resources can be dynamically regulated by predicting the order quantity, and the allocation of the excitation resources in different time periods can be regulated, so that the resources in different time periods can be effectively regulated, the balance of the input and the output of the resources is ensured, the resource allocation is saved, and the utilization rate of the resources is improved.

Description

Resource allocation method, resource allocation device and readable storage medium

Technical Field

The present invention relates to the field of resource management technologies, and in particular, to a resource allocation method, a resource allocation apparatus, and a readable storage medium readable by an electronic device.

Background

With the progress and development of science and technology, automobiles have gradually moved into people's lives and become an unobtainable travel tool in people's lives. Most of the common automobiles at present use gasoline and/or electric power as driving energy, and no matter which automobile is, the driving energy needs to be supplemented.

At present, whether the service station or the charging station is used, the information of the exchange resources required by the user to acquire the service is generally relatively fixed, for example, one resource exchange strategy is started in the daytime, and the other resource exchange strategy is used at night, so that the relatively fixed resource allocation strategy can not effectively and timely solve the balance problem between the service resources and the user resources, and resource waste is easily caused.

Disclosure of Invention

In view of this, an object of the present application is to provide a resource allocation method, a resource allocation device, and a readable storage medium, which can dynamically adjust resource exchange information by predicting order quantity, and adjust motivation resources in different time periods, so as to effectively adjust resources in different time periods, ensure balance of input and output of resources, and facilitate saving resources and improving utilization rate of resources.

According to one aspect of the present application, an electronic device is provided that may include a storage medium and a processor in communication with the storage medium. The storage medium stores machine-readable instructions executable by the processor. When the electronic device is in operation, the processor and the storage medium communicate over the bus, and the processor executes the machine-readable instructions, one or more of the following operations may be performed:

obtaining predicted order receiving amounts of a target service site in different time periods, and mapping relation information between the service order receiving amounts in each time period and exchange resources required by a user to obtain services;

determining exchange resource information acquired by the target service site for providing service in each time period based on the predicted order receiving amount and the mapping relation information;

determining incentive resource configuration information for the target service site in each time period in a next time period based on the exchange resource information and the actual order receipt quantity of the target service site in each time period in the current time period;

and configuring the incentive resources in each time period in the next time period for the target service station based on the incentive resource configuration information.

In some embodiments of the present application, the machine-readable instructions, when executed by the processor, may perform one or more of the following:

acquiring position information of a target service site and running track information of a user;

and determining the predicted order receiving amount received by the target service site in different time periods based on the position information and the running track information.

In the above-described embodiments, the machine-readable instructions, when executed by the processor, may perform one or more of the following:

determining a historical service order amount received by the target service site in each time period in a historical time period based on the historical travel track in each time period in the historical time period indicated by the travel track information and the position information;

and determining the predicted order receiving amount received by the target service site in different time periods in the current time period based on the historical service order amount and the preset running track in each time period in the current time period indicated by the running track information.

Determining whether the geographic position is matched with the historical running track or not based on the historical running track indicated by the running track information in each time period in the historical time period and the geographic position indicated by the position information, wherein the matching means that the geographic position is located on the historical running track or the distance between the geographic position and the historical running track is smaller than a preset threshold;

and according to the matching result, determining the historical service order quantity received by the target service site in each time period in the historical time period.

acquiring exchange resource information required by a user to acquire service in different time periods, wherein the exchange resource information comprises at least one of on-line exchange resource information and off-line exchange resource information;

generating at least one resource exchange simulation curve based on the exchange resource information;

and determining the mapping relation information between the service order receiving quantity of the target service site in different time periods and the exchange resources required to be provided by the user for obtaining the service from the at least one resource exchange simulation curve.

obtaining a part of simulation curves of each resource exchange simulation curve falling in each time period;

and fitting out the mapping relation information between the service order receiving quantity in each time period and the exchange resources required by the user to obtain the service based on each section of partial simulation curve in each time period, wherein the mapping relation information represents the mapping relation between the adjustment exchange resources and the loss or increase of the service request order quantity.

acquiring the actual order receiving quantity of the target service site in each time period in the current time period;

based on the exchange resource information and the actual order receiving amount, determining exchange resource acquisition information for providing resources acquired by service to a user in each time period in the current time period and service resource consumption information of consumed resources by the target service site;

and determining incentive resource configuration information for the target service site in each time period in the next time period based on the exchange resource acquisition information and the service resource consumption information.

and configuring the types of the incentive resources and the quantity of each incentive resource in each time period in the next time period for the target service station based on the incentive resource configuration information.

predicting predicted consumption information of the incentive resources in the target service site in each time period in the next time period;

and adjusting the motivation resource configuration information of the target service station in each time period in the next time period based on the predicted consumption information.

acquiring actual consumption information of the excitation resources in the target service site in each time period in the current time period;

and determining predicted consumption information of the excitation resources in the target service site in each time period in the next time period based on the actual consumption information and the effective time of the excitation resources indicated in the excitation resource configuration information.

According to another aspect of the present application, there is provided a resource allocation method, including:

In some embodiments of the present application, before the obtaining the predicted order receiving amount of the target service site in different time periods, and the mapping relationship information between the service order receiving amount in each time period and the exchange resources required to be provided by the user for obtaining the service, the configuration method includes:

In the above-described embodiment, the determining, based on the position information and the travel track information, the predicted order reception amount received by the target service station in different time periods includes:

In the above-described embodiment, the determining, based on the historical travel track indicated by the travel track information and the position information in each of the time periods, the historical service order amount received by the target service station in each of the time periods includes:

In some embodiments of the present application, before the obtaining the predicted order receiving amount of the target service site in different time periods, and the mapping relationship information between the service order receiving amount in each time period and the exchange resources required to be provided by the user for obtaining the service, the resource configuration method includes:

In the above embodiment, determining, from the at least one resource exchange simulation curve, mapping relationship information between the service order receiving amount of the target service site in different time periods and exchange resources required to be provided by a user to obtain a service includes:

In some embodiments of the present application, the determining, based on the exchanging resource information and the actual order receiving quantity of the target service site in each time period in the current time period, excitation resource configuration information for the target service site in each time period in a next time period includes:

In some embodiments of the present application, the configuring, for the target service site, the excitation resource of each time period in the next time period based on the excitation resource configuration information includes:

In some embodiments of the present application, after configuring the incentive resources in each time period in the next time period for the target service site based on the incentive resource configuration information, the resource configuration method includes:

In the above embodiment, the predicting, in each period of the next period of time, predicted consumption information of the incentive resource in the target service site includes:

According to an aspect of the present application, there is provided a resource allocation apparatus comprising:

the first acquisition module is used for acquiring the predicted order receiving amount of the target service site in different time periods and the mapping relation information between the service order receiving amount in each time period and exchange resources required by a user for acquiring service;

A first determining module, configured to determine, based on the predicted order receiving amount and the mapping relationship information acquired by the first acquiring module, exchange resource information acquired by the target service site for providing services in each time period;

a second determining module, configured to determine incentive resource configuration information for the target service site in each time period in a next time period based on the exchange resource information determined by the first determining module and an actual order receiving amount of the target service site in each time period in a current time period;

and the configuration module is used for configuring the excitation resources in each time period in the next time period for the target service station based on the excitation resource configuration information determined by the second determination module.

In some embodiments of the present application, the resource allocation apparatus further includes:

the second acquisition module is used for acquiring the position information of the target service site and the running track information of the user;

and a third determining module, configured to determine a predicted order receiving amount received by the target service site in different time periods based on the position information and the driving track information acquired by the second acquiring module.

In the foregoing embodiment, the third determining module is specifically configured to:

In the above embodiment, the third determining module is further configured to:

a third obtaining module, configured to obtain exchange resource information that needs to be provided by a user to obtain a service in different time periods, where the exchange resource information includes at least one of on-line exchange resource information and off-line exchange resource information;

the generation module is used for generating at least one resource exchange simulation curve based on the exchange resource information acquired by the third acquisition module;

and the fourth determining module is used for determining the mapping relation information between the service order receiving quantity of the target service site in different time periods and the exchange resources required to be provided by the user for acquiring the service from the at least one resource exchange simulation curve generated by the generating module.

In the foregoing embodiment, the fourth determining module is specifically configured to:

In some embodiments of the present application, the second determining module is specifically configured to:

In some embodiments of the present application, the configuration module is specifically configured to:

a prediction module, configured to predict predicted consumption information of the incentive resource in the target service site in each time period in the next time period;

And the adjusting module is used for adjusting the excitation resource configuration information of the target service station in each time period in the next time period based on the predicted consumption information predicted by the predicting module.

In the foregoing embodiment, the prediction module is specifically configured to:

According to an aspect of the present application, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the resource allocation method described above.

The resource allocation method, the resource allocation device, the electronic equipment and the computer readable storage medium provided by the embodiment of the application acquire the predicted order receiving amount of the target service site in different time periods and the mapping relation information between the service order receiving amount in each time period and the exchange resources required by the user to acquire the service; determining exchange resource information acquired by the target service site for providing service in each time period based on the predicted order receiving amount and the mapping relation information; determining incentive resource configuration information for the target service site in each time period in a next time period based on the exchange resource information and the actual order receipt quantity of the target service site in each time period in the current time period; and configuring the incentive resources in each time period in the next time period for the target service station based on the incentive resource configuration information.

Therefore, the information of resource exchange can be dynamically regulated by predicting the order quantity, and the excitation resources in different time periods are regulated, so that the resources in different time periods can be effectively regulated, the balance of the input and output of the resources is ensured, the resource saving is facilitated, and the utilization rate of the resources is improved.

In addition, the prediction consumption information of the excitation resources in each time period can be predicted, and the excitation resources in each time period are adjusted according to the prediction consumption information, so that the balance of the excitation resources is improved, the stability of order quantity in each time period is maintained, the utilization rate of the excitation resources in each time period is further improved, and the configuration resources are saved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 illustrates a schematic architecture of a resource allocation system provided in an embodiment of the present application;

FIG. 2 shows a flowchart of a resource allocation method provided by an embodiment of the present application;

FIG. 3 is a flowchart illustrating another method for resource allocation according to an embodiment of the present application;

fig. 4 is one of the block diagrams of a resource allocation apparatus according to the embodiment of the present application;

FIG. 5 is a second block diagram of a resource allocation apparatus according to an embodiment of the present application;

FIG. 6 is a third block diagram of a resource allocation apparatus according to an embodiment of the present disclosure;

fig. 7 shows a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it should be understood that the accompanying drawings in the present application are only for the purpose of illustration and description, and are not intended to limit the protection scope of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. A flowchart, as used in this application, illustrates operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be implemented out of order and that steps without logical context may be performed in reverse order or concurrently. Moreover, one or more other operations may be added to the flow diagrams and one or more operations may be removed from the flow diagrams as directed by those skilled in the art.

In addition, the described embodiments are only some, but not all, of the embodiments of the present application. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.

In order to enable those skilled in the art to use the present application, the following embodiments are presented in connection with a specific application scenario "incentive resource configuration in a service site such as a gas station or a charging station". It will be apparent to those having ordinary skill in the art that the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the present application. Although the present application is described primarily in terms of incentive resource configuration in a service site, it should be understood that this is but one exemplary embodiment.

It should be noted that the term "comprising" will be used in the embodiments of the present application to indicate the presence of the features stated hereinafter, but not to exclude the addition of other features.

The term "user" in this application may refer to a person, entity, or tool requesting, subscribing to, providing, or facilitating the provision of a service. For example, the user may be a passenger, driver, operator, etc., or any combination thereof. The terms "service request" and "order" are used interchangeably herein to refer to a request initiated by a passenger, service requester, driver, service provider, or vendor, etc., or any combination thereof. Accepting the "service request" or "order" may be a passenger, a service requester, a driver, a service provider, a vendor, or the like, or any combination thereof.

One aspect of the present application relates to a resource allocation system. The resource allocation system can dynamically adjust the exchange resource information of the service provided by the target service point in different time periods by predicting the predicted order receiving amount of the target service station in different time periods and combining the mapping relation information between the service order receiving amount and the exchange resource, and assist in influencing the order receiving amount, so that the optimality of resource acquisition can be ensured, and then excitation resource allocation information is set by combining the actual order receiving amount in each time period, so that excitation resources in each time period in the next time period are allocated.

It should be noted that, before the application is filed, at present, whether the service station is a gas station or a charging station, the exchange resource information required by the user to obtain the service is generally relatively fixed, for example, one resource exchange strategy is started in the daytime, and another resource exchange strategy is used at night, and the relatively fixed resource allocation strategy cannot effectively and timely solve the balance problem between the service resource and the user resource, so that resource waste is easily caused.

However, the resource allocation system provided by the application can dynamically adjust the resource exchange information by predicting the order quantity and adjust the excitation resources in different time periods, so that the resources in different time periods can be effectively adjusted, the balance of the input and output of the resources is ensured, the resource saving is facilitated, and the utilization rate of the resources is improved.

Fig. 1 is a schematic architecture diagram of a resource allocation system according to an embodiment of the present application. For example, the resource allocation system may be an online service platform for a service site such as a gas station, charging station, or inflation station. The resource allocation system may include one or more of a server 110, a network 120, a service requester terminal 130, a service provider terminal 140, and a database 150.

In some embodiments, server 110 may include a processor. The processor may process information and/or data related to the service request to perform one or more functions described herein. For example, the processor may determine a service order based on a service request obtained from the service requester terminal 130 and configure resources at the service provider terminal 140. In some embodiments, a processor may include one or more processing cores (e.g., a single core processor (S) or a multi-core processor (S)). By way of example only, the Processor may include a central processing unit (Central Processing Unit, CPU), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), special instruction set Processor (Application Specific Instruction-set Processor, ASIP), graphics processing unit (Graphics Processing Unit, GPU), physical processing unit (Physics Processing Unit, PPU), digital signal Processor (Digital Signal Processor, DSP), field programmable gate array (Field Programmable Gate Array, FPGA), programmable logic device (Programmable Logic Device, PLD), controller, microcontroller unit, reduced instruction set computer (Reduced Instruction Set Computing, RISC), microprocessor, or the like, or any combination thereof.

In some embodiments, the device type corresponding to the service requester terminal 130 and the service provider terminal 140 may be a mobile device, such as may include a smart home device, a wearable device, a smart mobile device, a virtual reality device, or an augmented reality device, etc., as well as a tablet computer, a laptop computer, or a built-in device in a motor vehicle, etc.

In some embodiments, database 150 may be connected to network 120 to communicate with one or more components in the resource configuration system (e.g., server 110, service requester terminal 130, service provider terminal 140, etc.). One or more components in the resource configuration system may access data or instructions stored in database 150 via network 120. In some embodiments, database 150 may be directly connected to one or more components in the resource allocation system, or database 150 may be part of server 110.

The resource allocation method provided in the embodiment of the present application is described in detail below with reference to the description of the resource allocation system shown in fig. 1.

Referring to fig. 2, fig. 2 is a flow chart of a resource allocation method provided in an embodiment of the present application, where the resource allocation method may be executed by one or more processors in a resource allocation system, and as shown in fig. 2, the specific execution process is as follows:

S201: the method comprises the steps of obtaining predicted order receiving amounts of a target service site in different time periods, and obtaining mapping relation information between the service order receiving amounts in each time period and exchange resources required by a user to obtain services.

In this step, when the incentive resource of the target service site needs to be configured, the predicted order receiving amount of the target service site in different time periods may be obtained first, and in each time period, the mapping relationship information between the service order receiving amount and the exchange resource is obtained, where the exchange resource is a resource that needs to be provided to the target service site when the user obtains the service provided by the target service site.

The predicted order receiving amounts in different time periods can be predicted by the resource allocation device in advance, and in different time periods in each resource allocation time period, the target service site can receive the predicted order receiving amounts; similarly, the mapping relationship information between the service order receiving amount in each time period and the exchange resource required to be provided by the user for obtaining the service may be generated in advance by the resource allocation device, and in each time period in each resource allocation time period, the mapping relationship information between the service order receiving amount and the exchange resource may be generated in advance.

Preferably, when statistics needs to be performed on the operation conditions in the target service station in the current time period so as to configure the excitation resources of the target service station in the next time period, the predicted order receiving amount in different time periods in the current time period and the mapping relation information in each time period in the current time period may be obtained.

For example, in a scenario where the vehicle needs to refuel to a fuel station, the predicted order receiving amount of the fuel station in different time periods and the mapping relationship information between the refuel order amount and the fuel price, such as a fuel price elastic curve, may be obtained. The predicted order receiving amount and the mapping relation information in each time period are also different in a certain difference in the same time period, but in the time period similar to each other, the predicted order receiving amount and the mapping relation information in each time period are substantially similar, so that the same data, such as a day-to-day time period, can be used for reducing the data amount, and the average traffic flow and the like in the working day are not greatly different, so that the predicted order receiving amount and the mapping relation information in each time period can be regarded as the same in each time period in the working day, and the data calculation amount of the resource allocation device can be reduced.

S202, based on the predicted order receiving amount and the mapping relation information, determining exchange resource information acquired by the target service site for providing service in each time period.

In this step, after the predicted order receiving amount and the mapping relationship information are obtained, the predicted order receiving amount and the mapping relationship information may be used to balance the exchange resources that need to be provided when the user accepts the service, that is, determine the exchange resource information obtained by the target service site providing the service in each time period, so that the target service site achieves an optimal balance between providing the service and obtaining the exchange resources.

Preferably, the exchange resource information of the target service site determined in each time period is determined so that the benefit of the target service site in each time period is maximized, that is, the determined exchange resource information does not cause the target service site to lose a large number of service orders, and meanwhile, the exchange resource obtained as a whole is insufficient because of more service orders and corresponding exchange resources are lower.

The exchange resource information may be information such as the number and types of exchange resources required to be provided for the service of the unit standard when the user obtains the service of the unit standard at the target service site. Illustratively, the exchange of resource information, such as in a gas station, may refer to adding a unit of oil, such as one liter of oil, that requires a charge of oil to be charged to the gas station.

In this way, by the predicted order receiving amount of the target service station and the mapping relation information in each time period, optimal exchange resource information can be set for the target service station, and the maximum exchange resource obtaining amount of the target service station is ensured, so that balance between service resources and exchange resources is maintained, and resource waste is reduced.

S203: based on the exchange of resource information and the actual order receipt of the target service site in each time period in the current time period, incentive resource configuration information for the target service site in each time period in the next time period is determined.

In this step, after determining the exchange resource information, the actual order receiving amount of the target service station in each time period in the current time period may be combined to calculate the exchange resource obtaining amount of the target service station in each time period in the current time period, and the incentive resource configuration information for the target service station in each time period in the next time period may be determined in combination with the service resources consumed for providing the service.

Specifically, the actual order receiving amount of the target service site in each time period in the current time period may be acquired, then, based on the exchange resource information and the actual order receiving amount, exchange resource acquisition information of resources acquired by the target service site when providing services to users in each time period in the current time period is determined, and service resource consumption information of resources consumed by the target service site when providing services to users is determined by detecting or counting or the like, and finally, incentive resource configuration information for the target service site in each time period in the next time period is determined based on the exchange resource acquisition information and the service resource consumption information.

The excitation resource configuration information may include information such as a type of excitation resource, the number of each excitation resource, the total amount of excitation resources in each time period, and the release time and the valid time of each excitation resource.

The next time period and the current time period are different time periods in the resource configuration time periods, and the next time period and the current time period may be two adjacent resource configuration time periods, or at least one resource configuration time period may be spaced between the next time period and the current time period.

In the fueling scene, the actual fueling order amount and the preset fueling price, namely the exchange of resource information and the actual order receiving amount, can be used for determining the profit of the fueling platform in the current day (the current time period), and then the profit of the fueling platform is determined according to the profit and the cost, so that the fund information which can be put into the fund pool for coupon and other preferential policy planning is determined from the profit and used as the preferential information which can be issued by the fueling station in each time end in the next time period.

S204: and configuring the incentive resources in each time period in the next time period for the target service station based on the incentive resource configuration information.

In this step, after the excitation resource configuration information is determined, information such as the number, the type, the term, and the like of excitation resources indicated in the excitation resource configuration information may be used to configure excitation resources that may be delivered by the target service site in each time period in the next time period.

Specifically, the type of the excitation resource, the number of each excitation resource and the total amount of the excitation resource in each time period in the next time period may be configured for the target service station based on the excitation resource configuration information. Further, information such as the release time and the valid time of each incentive resource can be configured.

Illustratively, within the marketing budget cost of the coupon, the configurable coupon information includes the types of the coupons' denominations, the number of offers of the various denominations of the coupons, the time and duration of the offers of the coupons, the different coupons that can be offered to different users, etc.

According to the resource allocation method provided by the embodiment of the application, the predicted order receiving amount of the target service site in different time periods and the mapping relation information between the service order receiving amount in each time period and the exchange resources required by the user for obtaining the service are obtained; determining exchange resource information acquired by the target service site for providing service in each time period based on the predicted order receiving amount and the mapping relation information; determining incentive resource configuration information for the target service site in each time period in a next time period based on the exchange resource information and the actual order receipt quantity of the target service site in each time period in the current time period; and configuring the incentive resources in each time period in the next time period for the target service station based on the incentive resource configuration information.

Referring to fig. 3, fig. 3 is a flow chart of another resource allocation method provided in the embodiment of the present application, where the resource allocation method may be executed by one or more processors in the resource allocation system, and as described in fig. 3, the specific execution process is as follows:

s301: the method comprises the steps of obtaining predicted order receiving amounts of a target service site in different time periods, and obtaining mapping relation information between the service order receiving amounts in each time period and exchange resources required by a user to obtain services.

S302: and determining exchange resource information acquired by the target service site for providing service in each time period based on the predicted order receiving amount and the mapping relation information.

S303: based on the exchange of resource information and the actual order receipt of the target service site in each time period in the current time period, incentive resource configuration information for the target service site in each time period in the next time period is determined.

S304: and configuring the incentive resources in each time period in the next time period for the target service station based on the incentive resource configuration information.

The descriptions of step S301 to step S304 may refer to the descriptions of step S201 to step S204, and the same technical effects may be achieved, which will not be described herein.

S305: predicting predicted consumption information of the incentive resource in the target service site in each time period in the next time period.

In this step, after the excitation resource configuration information is used to configure the excitation resource in each time period in the next time period, the configured excitation resource may be further verified to verify whether the configured excitation resource is reasonably used, that is, the predicted consumption information of the excitation resource in the target service site needs to be predicted in each time period in the next time period.

Specifically, the actual consumption information of the incentive resources in the target service site in each time period in the current time period, that is, the used condition of different types of incentive resources, such as the used quantity, time, amount and the like, may be obtained, and then the predicted consumption information of the incentive resources in the target service site in each time period in the next time period is determined based on the actual consumption information and the valid time of the incentive resources indicated in the incentive resource configuration information, that is, the valid period of the different incentive resources.

For example, in the scenario of refueling by the refueling platform, the predicted consumption information of the excitation resource can be estimated by adopting a clustering and time sequence method. Specifically, coupons of the same type, such as coupons with the same denomination, may be clustered, and then, based on the issuing time and the effective time of the coupons, the cancellation rate (predicted consumption information) of each coupon in the current time period may be estimated in combination with the cancellation rate (predicted consumption information) of each coupon in the current time period, and then, based on the estimated cancellation rate of each denomination coupon, the funds consumption progress curve may be estimated to represent the predicted consumption information of each coupon. For example, the rate of verification at day 1 is unknown and a value may be reproduced empirically (the rate of verification of similar coupons issued in the past); as time goes by, after the 1 st, 2 nd and 3 rd days, the actual coupon verification condition of the previous day can be adopted, and the verification rate of the following coupon can be estimated based on the information such as the issuing time and the effective time of the coupon.

S306: and adjusting the motivation resource configuration information of the target service station in each time period in the next time period based on the predicted consumption information.

In this step, after the predicted consumption information is predicted, each incentive resource may be adjusted according to the predicted consumption condition of each incentive resource, so as to adjust the incentive resource configuration information of the target service station in each time period in the next time period.

For example, in the scenario of fueling by the fueling platform, according to the time-based cancellation rate of each coupon (incentive resource) in each time end in the next time period, the consumption condition of funds (incentive resource) in the fund pool can be estimated, if the funds are consumed too fast, the amount of the coupons and the quantity of the coupons can be reduced if the amount of the funds in the fund pool is insufficient (the configuration of the incentive resource is reduced), if the amount of the coupons in the fund pool is sufficient, the issuing force can be increased (the configuration of the incentive resource is increased), such as multiple coupons or increasing the amount of the coupons.

In some embodiments of the present application, before S301, the resource allocation method further includes:

acquiring position information of a target service site and running track information of a user; and determining the predicted order receiving amount received by the target service site in different time periods based on the position information and the running track information.

In this step, when the predicted order receiving amount of the target service site in different time periods needs to be predicted, the position information of the target service site and the running track information of the user may be obtained first, and then, according to the position information and the running track information, the predicted order receiving amount received by the target service site in different time periods may be determined if the geographic position of the target service site indicated by the position information and the running track of the user indicated by the running track information are determined to be identical.

Wherein, the travel track information may include a historical travel track of the user in each time period in the historical time period and an actual travel track in each time period in the current time period.

Specifically, the predicted order receiving amount received by the target service site in different time periods may be determined based on the position information and the travel track information, the historical service order amount received by the target service site in each time period in the historical time period may be determined based on the historical travel track indicated by the travel track information and the position information in each time period, and then the predicted order receiving amount received by the target service site in different time periods in the current time period may be determined based on the historical service order amount and the preset travel track indicated by the travel track information in each time period in the current time period.

By way of example, the driving track information and the position information may be used to simulate a logical relationship between a history driving track, a geographical position and a history service order, an identification model using the logical relationship, and the like by means of machine learning, model training, and the like, and then the predicted order receiving amount in each period of time in the current period of time may be predicted using the logical relationship and the actual driving track indicated by the driving track information by using the identification model.

The predicted order receiving amount in each time period in the current time period is predicted by using the logic relation and the actual running track indicated by the running track information, the predicted order receiving amount in each time period can be predicted by firstly predicting the whole order amount in the current time period, then reasonably dividing the time period according to the total supply and demand condition, then determining the predicted order receiving amount in each time period, or determining the predicted order receiving amount in each time period according to different time periods divided in advance in an average division mode or travel amount information of different times and the like.

Further, the determining, based on the historical travel track indicated by the travel track information and the location information in each time period of the historical time period, the historical service order amount received by the target service site in each time period of the historical time period may be determining, based on the historical travel track indicated by the travel track information in each time period of the historical time period and the geographic location indicated by the location information, whether the geographic location matches the historical travel track, and then determining, based on a matching result, for example, when the geographic location matches the historical travel track, the historical service order amount received by the target service site for each time period of the historical time period by the target service site.

The matching means that the geographic position is located on the historical driving track, or the distance between the geographic position and the historical driving track is smaller than a preset threshold value.

Still further, the matching may further include a time idle condition, such as the geographic location is located on the historical driving track, and when a time that the user stays on the geographic location exceeds a preset time period, or a distance between the geographic location and the historical driving track is smaller than a preset threshold, and when a return of the user stays on a location on the historical driving track that is smaller than the geographic location is longer than the preset time period, the geographic location is determined to be matched with the historical driving track.

acquiring exchange resource information required by a user to acquire service in different time periods, wherein the exchange resource information comprises at least one of on-line exchange resource information and off-line exchange resource information; generating at least one resource exchange simulation curve based on the exchange resource information; and determining the mapping relation information between the service order receiving quantity of the target service site in different time periods and the exchange resources required to be provided by the user for obtaining the service from the at least one resource exchange simulation curve.

For example, as in the scenario where the fueling platform is fueling, the price elasticity curve (resource exchange simulation curve) for each time period may be plotted over that time period, with the effect of a change in fueling price in the target fueling station on the fueling order volume for that time period. In general, the horizontal axis of the price elasticity curve may be used to represent a fueling order quantity and the vertical axis may be used to represent the price of the target fueling station. The price elastic curve in each time period can be obtained by analyzing the online and offline price data of the oil station A and the nearby oil stations by using a causalimpact method. Specifically, the method can be realized by the following steps:

(1) And acquiring online price data and offline price data of the target oil station and nearby oil stations in different time periods, wherein the online price refers to a price which can be acquired by networking in real time, and the offline price can comprise a member price, a preferential price obtained by purchasing an oil card, or a price which cannot be acquired by networking. In general, the on-line price and off-line price of the same oil station are somewhat different.

(2) A time domain causal relationship analysis method may be used to determine at least one price elasticity curve (resource exchange simulation curve) for the target oil station for each time period. Specifically, a time domain causality analysis method can be adopted to simulate the influence on the oiling order quantity when the oil price of the target oil station is up-regulated or down-regulated, namely, how much oiling order quantity can be lost (the order flows from the target oil station to other oil stations nearby the target oil station) or sucked (the order flows from other oil stations nearby the target oil station into target mail) at each time, so that the price elasticity curve of the target oil station in different time periods can be fitted. The at least one price elasticity curve includes a price elasticity curve determined using only on-line price data or off-line price data, or a price elasticity curve determined by integrating on-line price data and off-line price data.

(3) And determining the logic relationship between the oil price and the change of the refueling order from at least one simulated price elastic curve.

Further, the determining, from the at least one resource exchange simulation curve, mapping relationship information between the service order receiving amount of the target service site in different time periods and the exchange resources required to be provided by the user for obtaining the service may be obtaining a partial simulation curve of each resource exchange simulation curve falling in each time period, and then fitting, based on each partial simulation curve in each time period, mapping relationship information between the service order receiving amount in each time period and the exchange resources required to be provided by the user for obtaining the service, where the mapping relationship information represents a mapping relationship between adjustment exchange resources and loss or increase of the service request order amount.

According to the resource allocation method provided by the embodiment of the application, the predicted order receiving amount of the target service site in different time periods and the mapping relation information between the service order receiving amount in each time period and the exchange resources required by the user for obtaining the service are obtained; determining exchange resource information acquired by the target service site for providing service in each time period based on the predicted order receiving amount and the mapping relation information; determining incentive resource configuration information for the target service site in each time period in a next time period based on the exchange resource information and the actual order receipt quantity of the target service site in each time period in the current time period; configuring excitation resources in each time period in the next time period for the target service site based on the excitation resource configuration information; predicting predicted consumption information of the incentive resources in the target service site in each time period in the next time period; and adjusting the motivation resource configuration information of the target service station in each time period in the next time period based on the predicted consumption information.

Therefore, the information can be dynamically adjusted by predicting the order quantity, the incentive resources in different time periods are adjusted, the balance of the input and output of the resources can be effectively adjusted, the resources can be saved, and the utilization rate of the incentive resources in each time period can be further predicted under the condition that the utilization rate of the resources is improved.

Based on the same inventive concept, the embodiment of the present application further provides a resource allocation device corresponding to the resource allocation method, and since the principle of the resource allocation device in the embodiment of the present application for solving the problem is similar to that of the resource allocation method in the embodiment of the present application, the implementation of the device may refer to the implementation of the method, and the repetition is omitted.

Referring to fig. 4 to 6, fig. 4 is a first structural diagram of a resource allocation device according to an embodiment of the present application, fig. 5 is a second structural diagram of a resource allocation device according to an embodiment of the present application, and fig. 6 is a third structural diagram of a resource allocation device according to an embodiment of the present application. As shown in fig. 4, the resource allocation apparatus 400 includes:

The first obtaining module 410 is configured to obtain predicted order receiving amounts of the target service site in different time periods, and mapping relationship information between the service order receiving amounts in each time period and exchange resources required to be provided by the user to obtain the service.

A first determining module 420, configured to determine, based on the predicted order receiving amount and the mapping relationship information acquired by the first acquiring module 410, exchange resource information acquired by the target service site for providing services in each time period.

A second determining module 430, configured to determine incentive resource configuration information for the target service site in each time period in the next time period based on the exchange resource information determined by the first determining module 420 and the actual order receiving amount of the target service site in each time period in the current time period.

A configuration module 440, configured to configure, for the target service site, excitation resources in each time period in the next time period based on the excitation resource configuration information determined by the second determination module 430.

In some embodiments of the present application, as shown in fig. 5, the resource allocation apparatus 400 further includes:

A second obtaining module 450, configured to obtain location information of the target service site and driving track information of the user;

a third determining module 460, configured to determine, based on the location information and the travel track information acquired 450 by the second acquiring module, a predicted order receiving amount received by the target service site in different time periods.

In the above embodiment, the third determining module 460 is specifically configured to:

In the above embodiment, the third determining module 460 is further configured to:

a third obtaining module 470, configured to obtain, in different time periods, switching resource information that needs to be provided by a user to obtain a service, where the switching resource information includes at least one of on-line switching resource information and off-line switching resource information;

a generating module 480, configured to generate at least one resource exchange simulation curve based on the exchange resource information acquired by the third acquiring module 470;

a fourth determining module 490, configured to determine, from the at least one resource exchange simulation curve generated by the generating module 480, mapping relationship information between the service order receiving amount of the target service site in different time periods and exchange resources required to be provided by the user for obtaining a service.

In the above embodiment, the fourth determining module 490 is specifically configured to:

In some embodiments of the present application, the second determining module 430 is specifically configured to:

In some embodiments of the present application, the configuration module 440 is specifically configured to:

In some embodiments of the present application, as shown in fig. 6, the resource allocation apparatus 400 further includes:

a prediction module 401, configured to predict predicted consumption information of the incentive resource in the target service site in each period of the next period of time;

And the adjusting module 402 is configured to adjust excitation resource configuration information of the target service station in each time period in a next time period based on the predicted consumption information predicted by the predicting module.

In the above embodiment, the prediction module 401 is specifically configured to:

According to the resource allocation device provided by the embodiment of the application, the predicted order receiving amount of the target service site in different time periods is obtained, and the mapping relation information between the service order receiving amount in each time period and the exchange resources required by the user for obtaining the service is obtained; determining exchange resource information acquired by the target service site for providing service in each time period based on the predicted order receiving amount and the mapping relation information; determining incentive resource configuration information for the target service site in each time period in a next time period based on the exchange resource information and the actual order receipt quantity of the target service site in each time period in the current time period; and configuring the incentive resources in each time period in the next time period for the target service station based on the incentive resource configuration information.

The process flow of each module in the apparatus and the interaction flow between the modules may be described with reference to the related descriptions in the above method embodiments, which are not described in detail herein.

The embodiment of the application further provides a computer device 700, as shown in fig. 7, which is a schematic structural diagram of the computer device 700 provided in the embodiment of the application, including: processor 710, memory 720, and bus 730. The memory 720 stores machine-readable instructions executable by the processor 710, which when executed by the processor 710, may perform one or more of the following operations, when the computer device 700 is in operation, the processor 710 and the memory 720 communicate over the bus 730:

In some embodiments of the present application, the processor 710, when executing the machine-readable instructions, may perform one or more of the following:

In the above-described embodiments, the processor 710, when executing the machine-readable instructions, may perform one or more of the following:

Accordingly, the embodiments of the present application further provide a computer readable storage medium, where a computer program is stored, where the computer program is executed by the processor to perform the steps of the resource allocation method described above.

Specifically, the storage medium can be a general storage medium, such as a mobile disk, a hard disk, and the like, and when a computer program on the storage medium is run, the resource allocation method can be executed, so that the problem that the balance between service resources and user resources cannot be effectively and timely solved for a fixed resource allocation strategy is solved, the problem of resource waste is easy to cause is solved, further, the effects of effectively adjusting resources in different time periods, guaranteeing the balance of resource input and output, being beneficial to saving resource allocation and improving the utilization rate of resources are achieved.

It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system and apparatus may refer to corresponding procedures in the method embodiments, which are not described in detail in this application. In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, and the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, and for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed.

The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.

The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes or substitutions are covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A resource allocation method, characterized in that the resource allocation method comprises:

acquiring exchange resource information required by a user to acquire service in different time periods, generating at least one resource exchange simulation curve based on the exchange resource information, and acquiring a part of simulation curve of each resource exchange simulation curve falling in each time period;

fitting out the mapping relation information between the service order receiving quantity in each time period and the exchange resources required by the user to obtain the service based on the partial simulation curves of each time period, and obtaining the predicted order receiving quantity of the target service site in different time periods, wherein the mapping relation information represents the mapping relation between the adjustment exchange resources and the loss or increase of the service request order quantity;

2. The resource allocation method according to claim 1, wherein before the acquisition target service site predicts the order reception amount in different time periods, and the mapping relationship information between the service order reception amount in each time period and the exchange resource that the user needs to provide for acquiring the service, the allocation method comprises:

3. The resource allocation method according to claim 2, wherein the determining, based on the position information and the travel track information, a predicted order reception amount received by the target service site in different time periods includes:

4. The resource allocation method according to claim 3, wherein the determining, based on the historical travel track and the location information indicated by the travel track information in each of the time periods, the historical service order amount received by the target service site in each of the time periods includes:

5. The resource allocation method according to claim 1, wherein said determining incentive resource allocation information for the target service site in each period of time in the next period of time based on the exchange of resource information and the actual order receipt quantity of the target service site in each period of time in the current period of time comprises:

6. The resource allocation method according to claim 1, wherein after said allocating, for said target service site, the incentive resources in each period of time in the next period of time based on said incentive resource allocation information, said resource allocation method comprises:

7. The resource allocation method according to claim 1, wherein the exchange resource information includes at least one of on-line exchange resource information and off-line exchange resource information.

8. The resource allocation method of claim 1, wherein the exchange resources are resources that are required to be provided to the target service site when a user obtains a service provided by the target service site.

9. A resource allocation apparatus, the resource allocation apparatus comprising:

the first acquisition module is used for acquiring exchange resource information required by a user for acquiring service in different time periods, generating at least one resource exchange simulation curve based on the exchange resource information, and acquiring a part of simulation curve of each resource exchange simulation curve falling in each time period; fitting out the mapping relation information between the service order receiving quantity in each time period and the exchange resources required by the user to obtain the service based on the partial simulation curves of each time period, and obtaining the predicted order receiving quantity of the target service site in different time periods, wherein the mapping relation information represents the mapping relation between the adjustment exchange resources and the loss or increase of the service request order quantity;

10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps of the resource allocation method according to any of claims 1 to 8.