CN111861075A

CN111861075A - Resource allocation method, resource allocation device and readable storage medium

Info

Publication number: CN111861075A
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: 2020-10-30
Anticipated expiration: 2039-05-17
Also published as: CN111861075B

Abstract

The application provides a resource configuration method, a resource configuration device and a readable storage medium, which determine exchange resource information by obtaining predicted order receiving quantity of a target service site and mapping relation information between the service order receiving quantity and exchange resources in different time periods, determine excitation resource configuration information of the target service site in each time period in the next time period by combining actual order receiving quantity of the target service site in each time period in the current time period, and further configure excitation resources in each time period in the next time period for the target service site. Therefore, resource exchange information can be dynamically adjusted by predicting the order quantity, and the configuration of the excitation resources in different time periods can be adjusted, so that the resources in different time periods can be effectively adjusted, the balance of resource input and output is ensured, the resource configuration 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 application relates to the technical field of resource management, 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 gradually enter the lives of people and become an unavailable travel tool in the lives of people. Most of the current common automobiles use gasoline and/or electric power as driving energy, and no matter which type of automobile, the driving energy needs to be supplemented.

At present, no matter a gas station or a charging station, exchange resource information required to be provided by a user for obtaining a 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, and the relatively fixed resource allocation strategy cannot effectively and timely solve the problem of balance between service resources and user resources, so that resource waste is easily caused.

Disclosure of Invention

In view of the above, an object of the present application is to provide a resource allocation method, a resource allocation apparatus, and a readable storage medium, which can dynamically adjust resource exchange information by predicting an order amount, adjust excitation resources in different time periods, effectively adjust resources in different time periods, ensure balance between resource input and output, and contribute to saving resources and improving utilization rate of resources.

According to one aspect of the present application, an electronic device 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 operated, the processor is communicated with the storage medium through the bus, and when the processor executes the machine-readable instructions, one or more of the following operations can be executed:

acquiring the predicted order receiving quantity of a target service site in different time periods and mapping relation information between the service order receiving quantity in each time period and exchange resources required to be provided by a user for acquiring service;

based on the predicted order receiving quantity and the mapping relation information, determining exchange resource information obtained by the target service site providing service in each time period;

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

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

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

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

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

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

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

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

Determining whether the geographic position is matched with the historical travel track or not based on the historical travel track indicated by the travel 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 travel track or the distance between the geographic position and the historical travel track is smaller than a preset threshold value;

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

acquiring exchange resource information required to be provided by a user for acquiring a service in different time periods, wherein the exchange resource information comprises at least one of online exchange resource information and offline exchange resource information;

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

and determining 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.

acquiring a part of simulation curve of each resource exchange simulation curve in each time period;

and fitting mapping relation information between the service order receiving quantity in each time period and the switching resources required to be provided by the user for obtaining the service based on each section of the partial simulation curve in each time period, wherein the mapping relation information represents the mapping relation between the loss or increase of the adjustment switching resources and 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;

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

determining incentive resource configuration information for the target service site in each time period in a 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 site 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 incentive resource configuration information of the target service site 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 the predicted consumption information of the incentive 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 incentive resources indicated in the incentive resource configuration information.

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

In some embodiments of the present application, before 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-mentioned embodiment, the determining the predicted order reception amount received by the target service site in different time periods based on the position information and the travel track information includes:

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

In some embodiments of the present application, before 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, the determining, from the at least one resource exchange simulation curve, mapping relationship information between service order receiving amounts of the target service site in different time periods and exchange resources required to be provided by a user for obtaining a service includes:

In some embodiments of the present application, the 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 receiving amount of the target service site in each time period in the current time period includes:

In some embodiments of the present application, the configuring, for the target serving site, incentive resources for respective time periods in a next time period based on the incentive resource configuration information includes:

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

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

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

the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring the predicted order receiving quantity of a target service site in different time periods and mapping relation information between the service order receiving quantity in each time period and exchange resources required to be provided 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 obtained by the first obtaining module, exchange resource information obtained by the target service site providing service 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;

a configuration module, configured to configure, for the target serving site, incentive resources in each time period in a next time period based on the incentive resource configuration information determined by the second determination module.

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

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

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

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 for obtaining a service in different time periods, where the exchange resource information includes at least one of online exchange resource information and offline exchange resource information;

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

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

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 site 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, a computer-readable storage medium is provided, on which a computer program is stored, which, when being executed by a processor, performs the steps of the above-mentioned resource configuration method.

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 quantity of the target service site in different time periods and the mapping relation information between the service order receiving quantity in each time period and the exchange resources required to be provided by the user for acquiring the service; based on the predicted order receiving quantity and the mapping relation information, determining exchange resource information obtained by the target service site providing service in each time period; determining incentive resource configuration information for the target service site in each time period in the next time period based on the exchange resource information and the actual order receiving amount of the target service site in each time period in the current time period; and configuring excitation resources in each time period in the next time period for the target service site based on the excitation resource configuration information.

Therefore, resource exchange information can be dynamically adjusted by predicting the order quantity, excitation resources in different time periods can be adjusted, resources in different time periods can be effectively adjusted, balance of resource input and output is guaranteed, resources are saved, and utilization rate of the resources is improved.

In addition, the predicted consumption information of the excitation resources in each time period can be predicted, the excitation resources in each time period can be adjusted according to the predicted consumption information, the balance of the excitation resources is improved, the stability of the 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 required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

Fig. 1 illustrates an architecture diagram of a resource configuration system provided in an embodiment of the present application;

Fig. 2 is a flowchart illustrating a resource configuration method according to an embodiment of the present application;

fig. 3 is a flowchart illustrating another resource allocation method provided in an embodiment of the present application;

fig. 4 is a diagram illustrating a structure of a resource allocation apparatus according to an embodiment of the present disclosure;

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 application;

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

Detailed Description

In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are for illustrative and descriptive purposes only and are not used to limit the scope of protection of the present application. Additionally, it should be understood that the schematic drawings are not necessarily drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be performed out of order, and steps without logical context may be performed in reverse order or simultaneously. One skilled in the art, under the guidance of this application, may add one or more other operations to, or remove one or more operations from, the flowchart.

In addition, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.

In order to enable a person skilled in the art to use the present disclosure, the following embodiments are given 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 skilled 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 application. Although the present application is described primarily in the context of incentive resource configuration in a service site, it should be appreciated that this is merely one exemplary embodiment.

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

The term "user" in this application may refer to an individual, entity or tool that requests a service, subscribes to a service, provides a service, or facilitates the provision of a service. For example, the user may be a passenger, a driver, an 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, a service requester, a driver, a service provider, or a supplier, the like, or any combination thereof. Accepting the "service request" or "order" may be a passenger, a service requester, a driver, a service provider, a supplier, or the like, or any combination thereof.

One aspect of the present application relates to a resource configuration system. The resource configuration system can dynamically adjust the exchange resource information of the target service point providing service in different time periods by predicting the predicted order receiving amount of the target service site in different time periods and combining the mapping relation information between the service order receiving amount and the exchange resource, assist in influencing the order receiving amount, ensure the optimality of resource acquisition, and then set the incentive resource configuration information by combining the actual order receiving amount in each time period, thereby configuring the incentive resource in each time period in the next time period.

It is worth noting that, before the application is provided in the present application, no matter whether the service station is a gas station or a charging station, etc., the exchange resource information required by the user to obtain the service is generally relatively fixed, for example, one resource exchange strategy is used 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 problem of balance between the service resource and the user resource, which is easy to cause resource waste.

However, the resource allocation system provided by the application can dynamically adjust resource exchange information by predicting the order quantity, adjust the excitation resources in different time periods, effectively adjust the resources in different time periods, ensure the balance of resource input and output, contribute to saving resources and improve the utilization rate of the resources.

Fig. 1 is a schematic architecture diagram of a resource allocation system according to an embodiment of the present application. For example, the resource configuration system may be an online service platform for a service site such as a gas station, a charging station, or an air station. The resource configuration 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, the server 110 may include a processor. The processor may process information and/or data related to the service request to perform one or more of the functions described herein. For example, the processor may determine a service order based on a service request obtained from the service requestor 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)). Merely by way of example, a Processor may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), an Application Specific Instruction Set Processor (ASIP), a Graphics Processing Unit (GPU), a Physical Processing Unit (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), a controller, a microcontroller Unit, a Reduced Instruction Set computer (Reduced Instruction Set computer), a microprocessor, or the like, or any combination thereof.

In some embodiments, the device types corresponding to the service requester terminal 130 and the service provider terminal 140 may be mobile devices, such as smart home devices, wearable devices, smart mobile devices, virtual reality devices, augmented reality devices, and the like, and may also be tablet computers, laptop computers, built-in devices in motor vehicles, and the like.

In some embodiments, a database 150 may be connected to the network 120 to communicate with one or more components in the resource configuration system (e.g., the server 110, the service requestor terminal 130, the 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, the database 150 may be directly connected to one or more components in the resource configuration system, or the database 150 may be part of the server 110.

The following describes the resource allocation method provided in the embodiment of the present application in detail with reference to the content described in the resource allocation system shown in fig. 1.

Referring to fig. 2, fig. 2 is a schematic flowchart of a resource allocation method according to 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 includes:

S201: and acquiring the predicted order receiving quantity of the target service site in different time periods and mapping relation information between the service order receiving quantity in each time period and the exchange resources required to be provided by the user for acquiring the service.

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 the mapping relationship information between the service order receiving amount and the exchange resource in each time period is obtained, where the exchange resource is a resource that is required to be provided to the target service site when a user obtains the service provided by the target service site.

The predicted order receiving amount in different time periods can be predicted in advance by the resource configuration device, and the target service site can receive the predicted order receiving amount in different time periods in each resource configuration time period; 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 configuration device, and the mapping relationship information between the service order receiving amount and the exchange resource in each time period in each resource configuration time period.

Preferably, when the operation condition in the target service site in the current time period needs to be counted so as to configure the incentive resource of the target service site in the next time period, the predicted order receiving amount in different time periods in the current time period and the mapping relationship information in each time period in the current time period may be obtained.

For example, in a scenario where a vehicle needs to get to a gas station for refueling, information about predicted order receiving amount of the gas station in different time periods and mapping relationship between the order amount of refueling and fuel price, such as a fuel price elasticity curve, is obtained. The predicted order receiving amount and the mapping relation information in different time periods in the same time period are different, and the predicted order receiving amount and the mapping relation information in each time period in different time periods are also different, but for the time periods with similar attributes, the predicted order receiving amount and the mapping relation information in each time period are similar, and for reducing the data amount, the same data can be used, for example, the day is taken as the time period, and since the average traffic flow and the like in the working day are not different greatly, 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, so that the data calculation amount of the resource configuration device can be reduced.

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

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

Preferably, the exchange resource information of the target service site determined in each time period is optimal to maximize the profit of the target service site in each time period, that is, the determined exchange resource information does not cause the target service site to lose a large number of service orders, and simultaneously, does not cause the shortage of the integrally obtained exchange resources due to the fact that the number of service orders is large and the corresponding exchange resources are low.

The exchange resource information may be information such as the number and the type of exchange resources that the user needs to provide for the unit standard service when the user acquires the unit standard service at the target service site. For example, in a gasoline station, the exchange of resource information may refer to the amount of oil that needs to be handed up to the gasoline station plus a unit of oil, such as one liter of oil.

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

S203: 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 information and the actual order receiving amount of the target service site in each time period in the current time period.

In this step, after determining the exchange resource information, the exchange resource acquisition amount of the target service site in each time period in the current time period may be calculated by combining the actual order reception amount of the target service site in each time period in the current time period, and the incentive resource configuration information for the target service site in each time period in the next time period may be determined by combining 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 obtained first, then, based on the exchange resource information and the actual order receiving amount, exchange resource obtaining information of resources obtained when the target service site provides services to the user in each time period in the current time period is determined, and service resource consumption information of resources consumed when the target service site provides services to the user, which is determined by detection or statistics, and finally, based on the exchange resource obtaining information and the service resource consumption information, incentive resource configuration information for the target service site in each time period in the next time period may be determined.

The incentive resource configuration information may include information such as a type of incentive resource, a number of each incentive resource, a total amount of incentive resources in each time period, and a release time and an effective time of each incentive resource.

The next time period and the current time period are different time periods in a resource configuration time period, 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 provided between the next time period and the current time period.

For example, in a fueling scenario, the actual fueling order amount and the preset fuel price, that is, the exchange resource information and the actual order receiving amount, may be used to determine the profit of the fueling platform in the current day (current time period), and then the profit of the fueling platform is determined according to the profit and the cost, so as to determine the fund information that can be put into a fund pool for coupon policy planning, etc., as the benefit information that can be issued by the fueling station at each time end in the next time period.

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

In this step, after determining the incentive resource configuration information, the incentive resources that can be delivered by the target service site in each time period in the next time period may be configured by using information such as the number, the type, and the time limit of the incentive resources indicated in the incentive resource configuration information.

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

For example, within the marketing budget cost of the coupon, the configurable coupon information includes the type of the face value of the coupon, the number of issued coupons with various face values, the issuing time and validity period of the coupon, different coupons that can be issued for different users, etc.

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

Referring to fig. 3, fig. 3 is a schematic flowchart of another resource allocation method according to 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. 3, the specific execution process includes:

s301: and acquiring the predicted order receiving quantity of the target service site in different time periods and mapping relation information between the service order receiving quantity in each time period and the exchange resources required to be provided by the user for acquiring the service.

S302: and determining the exchange resource information obtained 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: 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 information and the actual order receiving amount of the target service site in each time period in the current time period.

S304: and configuring excitation resources in each time period in the next time period for the target service site based on the excitation 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 are not described herein again.

S305: predicting predicted consumption information of the incentive resources in the target serving site for each time period in the next time period.

In this step, after configuring the incentive resources in each time period in the next time period using the incentive resource configuration information, the configured incentive resources may be further verified to verify whether the configured incentive resources are reasonably used, that is, the predicted consumption information of the incentive resources in the target service site at each time end in the next time period needs to be predicted.

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

For example, in the scene of refueling by a refueling platform, the predicted consumption information of the excitation resource can be estimated by adopting a clustering and time series method. Specifically, the coupons of the same type, such as coupons of the same face value, may be clustered, and then the reimbursement rate of each face value coupon at each time end in the next time period may be estimated by combining the reimbursement rates (predicted consumption information) of various coupons in the current time period in a time series manner based on the distribution time and the valid time of the coupons, and then the predicted consumption information of each coupon may be represented by predicting the fund consumption progress curve based on the estimated reimbursement rate of each face value coupon. For example, the rate of reimbursement at day 1 is unknown, and a value may be replicated empirically (rate of reimbursement for past issuance of similar coupons); after the 1 st day, the 2 nd day and the 3 rd day, the following verification rate can be estimated according to the actual verification condition of the coupon on the previous day and based on the information such as the issuing time and the valid time of the coupon.

S306: and adjusting the incentive resource configuration information of the target service site 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 kind of incentive resources may be adjusted according to the predicted consumption condition of each kind of incentive resources, so as to adjust incentive resource configuration information of the target service site in each time period in the next time period.

For example, in a scenario of fueling on a fueling platform, consumption of funds (incentive resources) in a fund pool can be estimated according to a reimbursement rate of each coupon (incentive resources) in each time end in a next time period, if the funds are consumed too fast and the amount of money in the fund pool is insufficient, the amount of the coupons and the number of the coupons can be reduced (configuration of the incentive resources are reduced), and if the amount of money in the fund pool is sufficient, the amount of money in the fund pool can be increased to increase the issuing force of the coupons (configuration of the incentive resources is increased), such as multiple coupons or increased amount of money.

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

acquiring position information of a target service site and driving track information of a user; and determining the predicted order receiving amount received by the target service station in different time periods based on the position information and the driving 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 travel track information of the user may be obtained first, and then the predicted order receiving amount received by the target service site in different time periods may be determined according to the position information and the travel track information, for example, whether the geographic position of the target service site indicated by the position information matches the travel track of the user indicated by the travel track information is determined.

Wherein the travel track information may include a history travel track of the user in each time period in the history 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 station in different time periods may be determined based on the historical travel path in each time period in the historical time period indicated by the travel path information and the position information, the historical service order amount received by the target service station in each time period in the historical time period may be determined, and then the predicted order receiving amount received by the target service station in different time periods in the current time period may be determined based on the historical service order amount and the preset travel path in each time period in the current time period indicated by the travel path information.

For example, a logical relationship between a historical travel track, a geographic position and a historical service order, an identification model for identification using the logical relationship, and the like may be simulated by using machine learning, model training, and the like using the travel track information and the position information, and then a predicted order reception amount in each time period in the current time period may be predicted using the logical relationship and an actual travel track indicated by the travel track information using the identification model.

The predicted order receiving amount in each time period in the current time cycle is predicted by using the logical relationship and the actual travel track indicated by the travel track information, the whole order amount in the current time cycle may be predicted, then reasonable time period division is performed according to the overall supply and demand conditions, then the predicted order receiving amount in each time period is determined, or the predicted order receiving amount in each time period may be determined in advance according to different time periods divided in an average division manner or the travel amount information of different times and the like.

Further, based on the historical travel track indicated by the travel track information in each time period in the historical time period and the position information, determining the historical service order amount received by the target service station in each time period in the historical time period, it may be determined whether the geographical position matches the historical travel locus based on the historical travel locus indicated by the travel locus information for each time period in a historical time period and the geographical position indicated by the position information, and then based on the matching, for example when the geographic location matches the historical travel path, namely, the order corresponding to the historical driving track can be considered as the historical service order received by the target service station, thereby determining the amount of historical service orders received by the target serving site during each time period in the historical time period.

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, for example, when the geographic position is located on the historical travel track, and when the time that the user stays on the geographic position exceeds a preset time period, or the distance between the geographic position and the historical travel track is less than a preset threshold, and when the time that the user stays on the historical travel track and the position where the distance between the user and the geographic position is less than the preset threshold exceeds a preset time period, it may be determined that the geographic position matches the historical travel track.

acquiring exchange resource information required to be provided by a user for acquiring a service in different time periods, wherein the exchange resource information comprises at least one of online exchange resource information and offline exchange resource information; generating at least one resource exchange simulation curve based on the exchange resource information; and determining 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, in a fueling platform fueling scenario, a price elasticity curve (resource exchange simulation curve) for each time period may delineate the effect of a change in fueling price at a target fueling station on the amount of fueling orders for that time period. In general, the horizontal axis of the price elasticity curve may be used to represent the amount of fueling orders and the vertical axis may be used to represent the price of oil at the target fueling station. The price elastic curve in each time period can be obtained by analyzing online and offline price data of the oil station A and oil stations nearby the oil station A by adopting a causalimapact method. The method can be specifically realized by the following steps:

(1) the online price data and the offline price data of the target oil station and the oil stations nearby the target oil station in different time periods are acquired, wherein the online price refers to a price which can be acquired in a real-time networking mode, and the offline price can comprise a member price, a discount price acquired by purchasing an oil card, or a price which cannot be acquired in a networking mode. Generally, there is some difference between the online price and the offline price of the same fueling station.

(2) And determining at least one price elasticity curve (resource exchange simulation curve) of the target oil station in each time period by adopting a time domain causal relationship analysis method. Specifically, a time domain causal relationship analysis method can be adopted to simulate the influence on the fueling order quantity when the oil price of the target oil station is adjusted upwards or downwards, namely the fueling order quantity which is possibly lost (an order flows from the target oil station to other oil stations near the target oil station) or attracted (an order flows from other oil stations near the target oil station to a target mail) in each price adjustment, so that the price elastic 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 the online price data or the offline price data, or a price elasticity curve determined by integrating the online price data and the offline price data.

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

Further, the information of the mapping relationship between the service order receiving amount of the target service site in different time periods and the switching resources required to be provided by the user for obtaining the service is determined from the at least one resource exchange simulation curve, which may be a partial simulation curve of each resource exchange simulation curve falling in each time period, and then the information of the mapping relationship between the service order receiving amount in each time period and the switching resources required to be provided by the user for obtaining the service is fitted based on each partial simulation curve in each time period, wherein the information of the mapping relationship indicates the mapping relationship between the loss or increase of the adjusted switching resources and the service request order amount.

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

Therefore, resource exchange information can be dynamically adjusted by predicting the order quantity, excitation resources in different time periods can be adjusted, the resources in different time periods can be effectively adjusted, balance of resource input and output is guaranteed, resources are saved, the utilization rate of the resources is improved, the predicted consumption information of the excitation resources in each time period can be further predicted to be summarized in the next time period, the excitation resources in each time period are adjusted according to the predicted consumption information, the balance of the excitation resources is improved, the stability of the order quantity in each time period is maintained, the utilization rate of the excitation resources in each time period is further improved, and configuration resources are saved.

Based on the same inventive concept, a resource allocation device corresponding to the resource allocation method is also provided in the embodiments of the present application, and since the principle of solving the problem of the resource allocation device in the embodiments of the present application is similar to the resource allocation method described in the embodiments of the present application, the implementation of the device can refer to the implementation of the method, and repeated details are not described again.

Referring to fig. 4 to 6, fig. 4 is a first structural diagram of a resource allocation apparatus according to an embodiment of the present application, fig. 5 is a second structural diagram of a resource allocation apparatus according to an embodiment of the present application, and fig. 6 is a third structural diagram of a resource allocation apparatus according to an embodiment of the present application. As shown in fig. 4, the resource configuration 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 amount in each time period and the exchange resources required to be provided by the user for obtaining the service.

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

A second determining module 430, configured to determine incentive resource configuration information for the target serving 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 serving site in each time period in the current time period.

A configuring module 440, configured to configure incentive resources in each time period in a next time period for the target serving site based on the incentive resource configuration information determined by the second determining module 430.

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

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

a third determining module 460, configured to determine, based on the position information and the traveling track information acquired 450 by the second acquiring module, predicted order receiving amounts received by the target serving site in different time periods.

In the foregoing 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 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 online exchange resource information and offline exchange 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 service order receiving amounts of the target service site in different time periods and exchange resources required to be provided by the user for obtaining services.

In the foregoing 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 configuration apparatus 400 further includes:

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

An adjusting module 402, configured to adjust incentive resource configuration information of the target serving site 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:

The resource configuration device provided by the embodiment of the application obtains the predicted order receiving quantity of the target service site in different time periods and the mapping relation information between the service order receiving quantity in each time period and the exchange resources required to be provided by the service obtained by the user; based on the predicted order receiving quantity and the mapping relation information, determining exchange resource information obtained by the target service site providing service in each time period; determining incentive resource configuration information for the target service site in each time period in the next time period based on the exchange resource information and the actual order receiving amount of the target service site in each time period in the current time period; and configuring excitation resources in each time period in the next time period for the target service site based on the excitation resource configuration information.

The description of the processing flow of each module in the device and the interaction flow between the modules may refer to the related description in the above method embodiments, and will not be described in detail here.

An embodiment of the present 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 present application, and includes: a processor 710, a memory 720, and a bus 730. The memory 720 stores machine-readable instructions executable by the processor 710, the processor 710 and the memory 720 communicating via the bus 730 when the computer device 700 is operating, the machine-readable instructions, when executed by the processor 710, performing one or more of the following:

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

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

Accordingly, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by the processor, the steps of the resource allocation method are performed.

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, and resource waste is easily caused is solved, and further, the effects of effectively adjusting resources in different time periods, ensuring the balance of resource input and output, contributing to saving resource allocation, and improving the utilization rate of resources are achieved.

It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to corresponding processes in the method embodiments, and are not described in detail in this application. In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and there may be other divisions in actual implementation, and for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed.

The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into 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 or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the 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:

2. The resource allocation method according to claim 1, wherein before 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 switching resources required to be provided by the user for obtaining the service, the allocation method comprises:

3. The resource allocation method of claim 2, wherein the determining the predicted order receipt amount received by the target service site over different time periods based on the location information and the travel track information comprises:

4. The resource configuration method of claim 3, wherein the determining the amount of historical service orders received by the target service station in each time period in a historical time period based on the historical travel track indicated by the travel track information in each time period in the historical time period and the location information comprises:

5. The resource allocation method according to claim 1, wherein before 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 switching resources required to be provided by the user for obtaining the service, the resource allocation method comprises:

6. The resource allocation method according to claim 5, wherein the determining, from the at least one resource exchange simulation curve, mapping relationship information between service order receiving amounts of the target service site in different time periods and exchange resources required to be provided by a user for obtaining services includes:

7. The method of claim 1, wherein the determining incentive resource configuration information for the target service site for each time period in a next time period based on the exchanged resource information and an actual order taking amount of the target service site for each time period in a current time period comprises:

8. The resource allocation method according to claim 1, wherein after configuring, for the target serving site, incentive resources for respective time periods in a next time period based on the incentive resource configuration information, the resource allocation method includes:

9. A resource configuration apparatus, wherein the resource configuration apparatus comprises:

10. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the resource configuration method according to any one of claims 1 to 8.