CN110826971B - Dispatching equipment scheduling method and device, readable storage medium and electronic equipment - Google Patents

Abstract

The embodiment of the present invention discloses a distribution equipment scheduling method, device, readable storage medium, and electronic equipment. The method determines the activity hotspot area by determining the location of the first type of client that signed up when the activity was released, and then according to the preset strategy Schedule delivery equipment. In order to realize the hotspot areas where the distribution pressure will increase during the activities in advance, and solve the problem of excessive distribution pressure during the activities in the hotspot areas by scheduling the distribution equipment according to the preset strategy.

Description

Distribution equipment scheduling method, device, readable storage medium and electronic device

technical field

The present invention relates to the field of computer technology, in particular to a distribution equipment scheduling method, device, readable storage medium and electronic equipment.

Background technique

During the operation of the Internet software platform, a large amount of resource allocation is required to schedule the flow of available resources on the platform in a reasonable manner. In some cases, it is desirable that the scheduling and allocation of platform resources be consistent with the current needs of the platform. If resources are insufficient, resource scheduling is usually performed by reducing the demand of the Internet platform. However, such a scheduling method will lead to a decline in the user experience of Internet platform customers.

Contents of the invention

In view of this, the embodiment of the present invention discloses a delivery equipment scheduling method, device, readable storage medium, and electronic equipment, so as to predict in advance the hot spots where the delivery pressure will increase during the event, and schedule the delivery equipment according to the preset strategy The way to solve the problem of excessive distribution pressure during activities in hotspot areas.

In the first aspect, the embodiment of the present invention discloses a distribution equipment scheduling method, the method comprising:

sending activity information to a first type of client through at least one processor;

receiving, by at least one processor, a registration request returned by the first type of client based on the activity information, where the registration request includes an identifier of the first type of client;

Using at least one processor to determine the client information of the first type of client corresponding to the received registration requests;

Using at least one processor to determine the hotspot area according to the client information corresponding to each registration request;

At least one processor schedules delivery equipment to gather in the hotspot area according to a preset policy.

Further, the determining the hotspot area according to the client information corresponding to each registration request includes:

clustering the first location information corresponding to each registration request to determine multiple location sets;

The corresponding hotspot area is determined according to the location set including the number of the first location information greater than a first threshold.

Further, the determining the hotspot area according to the client information corresponding to each registration request includes:

clustering the first location information corresponding to each registration request to determine multiple location sets;

determining the expected order volume of the location set according to the client information corresponding to the first location information included in each location set;

In response to the expected order quantity being greater than a second threshold, it is determined that the area corresponding to the location set is a hotspot area.

Further, the determining the hotspot area according to the client information corresponding to each registration request includes:

Determine the area where the first location information corresponding to each registration request is located;

It is determined that an area including the amount of the first position information greater than the second threshold is a hotspot area.

Further, the determining the hotspot area according to the client information corresponding to each registration request includes:

Determine the area where the first location information corresponding to each registration request is located;

determining the expected order volume of the region according to the historical sales information corresponding to the first location information included in each region;

In response to the expected order quantity being greater than a third threshold, it is determined that the area is a hotspot area.

Further, the client information also includes backlog order information corresponding to the first type of clients.

Further, the dispatching of distribution equipment to gather in the hotspot area according to a preset strategy includes:

Determining that the scheduling area covers the scheduling client of the hotspot area;

Sending notification information including the identification of the hotspot area to the scheduling client to schedule delivery equipment through the scheduling client.

Further, the dispatching of distribution equipment to gather in the hotspot area according to a preset strategy includes:

determining task information, where the task information includes second position information of the target object;

Determine the third location information of each delivery device;

determining the distance between each delivery device and the hotspot area according to the third position information;

Assigning the task information of the second position information in the hotspot area to the distribution equipment whose distance from the hotspot area is less than a distance threshold.

Further, the dispatching of distribution equipment to gather in the hotspot area according to a preset policy further includes:

The backlog information is distributed to the delivery facility in response to the delivery facility completing the task information.

In the second aspect, the embodiment of the present invention discloses a resource allocation device, the device includes:

An information sending module, configured to send activity information to the first type of client through at least one processor;

A request receiving module, configured to receive, through at least one processor, a registration request returned by the first type of client based on the activity information, where the registration request includes an identifier of the first type of client;

A location determining module, configured to determine, through at least one processor, the client information of the first type of client corresponding to the received registration requests;

A hotspot determination module, configured to determine a hotspot area according to the client information corresponding to each registration request through at least one processor;

The scheduling module is configured to schedule delivery equipment to gather in the hotspot area according to a preset strategy through at least one processor.

Further, the hot spot determination module includes:

The first clustering unit is configured to cluster the client information corresponding to the registration requests to determine multiple location sets;

A first hotspot determining unit, configured to determine a corresponding hotspot area according to a location set including a quantity of client information greater than a first threshold.

Further, the hot spot determination module includes:

A second clustering unit, configured to cluster the first location information corresponding to the registration requests to determine multiple location sets;

The first prediction unit is configured to determine the expected order volume of the location set according to the client information corresponding to the first location information included in each location set;

The second hotspot determination unit is configured to determine that the area corresponding to the location set is a hotspot area in response to the expected order quantity being greater than a second threshold.

Further, the hot spot determination module includes:

A first area determining unit, configured to determine the area where the client information corresponding to each registration request is located;

A third hotspot determining unit, configured to determine an area including a quantity of first location information greater than a second threshold as a hotspot area.

Further, the hot spot determination module includes:

A second area determining unit, configured to determine the area where the first location information corresponding to each registration request is located;

The second forecasting unit is configured to determine the expected order quantity of the region according to the historical sales information corresponding to the first location information included in each region;

A fourth hot spot determining unit, configured to determine that the area is a hot spot area in response to the expected order quantity being greater than a third threshold.

Further, the client information also includes backlog order information corresponding to the first type of clients.

Further, the scheduling module includes:

a client determining unit, configured to determine a scheduling client whose scheduling area covers the hotspot area;

A notification unit, configured to send notification information including the identification of the hotspot area to the scheduling client, so as to schedule delivery equipment through the scheduling client.

Further, the scheduling module includes:

a task determining unit, configured to determine task information, the task information including the second position information of the target object;

a location determining unit, configured to determine the third location information of each delivery device;

A distance calculation unit, configured to determine the distance between each delivery device and the hotspot area according to the third position information;

An allocating unit, configured to allocate the task information of the second position information in the hotspot area to the distribution equipment whose distance from the hotspot area is less than a distance threshold.

Further, the scheduling module also includes:

A second distributing unit, configured to distribute the backlog order information to the distributing equipment in response to the distributing equipment completing the task information.

In a third aspect, the embodiment of the present invention discloses a computer-readable storage medium for storing computer program instructions, and the computer program instructions implement the method according to any one of the first aspect when executed by a processor.

In a fourth aspect, the embodiment of the present invention discloses an electronic device, including a memory and a processor, the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are processed by the The device is executed to implement the method as described in any one of the first aspect.

In the embodiment of the present invention, by determining the location of the first type of client that signed up when releasing the activity, the activity hotspot area is determined, and then the distribution equipment is dispatched according to the preset strategy. In order to realize the hotspot areas where the distribution pressure will increase during the activities in advance, and solve the problem of excessive distribution pressure during the activities in the hotspot areas by scheduling distribution equipment according to the preset strategy.

Description of drawings

Through the following description of the embodiments of the present invention with reference to the accompanying drawings, the above and other objects, features and advantages of the present invention will be more clear, in the accompanying drawings:

Fig. 1 is the flow chart of the distribution equipment dispatching method of the embodiment of the present invention;

FIG. 2 is a schematic diagram of a distribution equipment scheduling method in an optional implementation mode according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of a method for dispatching distribution equipment in another optional implementation mode of the embodiment of the present invention;

FIG. 4 is a system schematic diagram of a distribution equipment scheduling method in an optional implementation mode according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of a system of a distribution equipment scheduling method in another optional implementation mode of the embodiment of the present invention;

FIG. 6 is a schematic diagram of a delivery equipment scheduling device according to an embodiment of the present invention;

FIG. 7 is a schematic diagram of an electronic device according to an embodiment of the present invention.

Detailed ways

The present invention is described below based on examples, but the present invention is not limited to these examples. In the following detailed description of the invention, some specific details are set forth in detail. The present invention can be fully understood by those skilled in the art without the description of these detailed parts. In order not to obscure the essence of the present invention, well-known methods, procedures, procedures, components and circuits have not been described in detail.

Additionally, those of ordinary skill in the art will appreciate that the drawings provided herein are for illustrative purposes and are not necessarily drawn to scale.

Unless the context clearly requires, the words "including", "including" and similar words in the description should be interpreted as an inclusive meaning rather than an exclusive or exhaustive meaning; that is, the meaning of "including but not limited to".

In the description of the present invention, it should be understood that the terms "first", "second" and so on are used for descriptive purposes only, and cannot be interpreted as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, "plurality" means two or more.

Fig. 1 is a flow chart of a distribution equipment scheduling method according to an embodiment of the present invention. As shown in Fig. 1, the method includes:

Step S100, sending event information to the first type of client.

Specifically, the activity information is determined by at least one processor of the server, for example, at least one processor of the server locally generates or receives activity information generated and sent from other terminal devices. The event information includes event content, which may include, for example, event introduction, event time, registration method, registration conditions and other information. After the server determines the activity information, it sends the activity information to the first type of client. In this embodiment, the first type of client is the client corresponding to the registration object targeted by the activity, and the registration The object can read the activity information according to the first type of client, and send a registration request to the server. Take the takeaway software as an example. The activity information can be full discount activities on the platform, free shipping activities, subsidy activities, etc. The registration objects for the activity information are merchants, and the first type of client is the merchant’s login. client. Optionally, when the server is an e-commerce platform server, the activity information may be online shopping festival activities, discount season activities, anti-season promotion activities, etc., and the first type of client is an account registered by a platform registered merchant. client.

Further, when the server sends activity information to the first type of client, it may also send activity information to the second type of client, for notifying the content of the activity to the object corresponding to the second type of client, so that the object participates in the activity through the second type of client during the activity. When the server is a food delivery platform server or an e-commerce platform server, the second type of client is a client logged in by a user, and the object corresponding to the second type of client is a user.

Step S200, receiving the registration request returned by the client of the first type based on the event information.

Specifically, after receiving the event information, the client of the first type may display the event information to corresponding registration objects through a display unit. The registration object can automatically generate a registration request by triggering a control displayed simultaneously with the activity information, or generate a registration request through editing on the first type of client, and send the registration request to the server. The registration request includes an object identifier used to indicate the registration object corresponding to the first type of client, for example, it may be information such as the name, serial number, and code of the registration object that can identify the registration object. So that the server determines the corresponding registration object according to the received registration request. Taking takeaway software as an example, the object identifier in the registration request can be "Xiao Zhang Baozi", "0002431", "A501", etc., and at least one processor in the server can pass the received registration request The object ID identifies the registered merchant.

Step S300. Determine the client information of the first type of client corresponding to the received registration requests.

Specifically, the client information includes first location information and historical sales information. Wherein, the first location information is used to represent the location of the registration object corresponding to the registration request sent by each first type of client, so as to count activity hotspots. For example, on a food delivery platform or an e-commerce platform, the first location information is the location of the merchant. The determination of the first location information may be that at least one processor of the server parses the registration request after receiving the registration request returned by the first type of client, and determines the location corresponding to the registration request according to the object identifier. The registration object further acquires the coordinate information in the attribute information registered by the registration object. Alternatively, at least one processor of the server directly acquires the location of the first-type client after receiving the registration request returned by the first-type client, and obtains the first location corresponding to the first-type client information. The historical sales information is used to represent the historical order quantity of the registration object corresponding to the registration request sent by each first-type client when participating in an event. Further, the client information also includes backlog information for representing the number of currently unprocessed orders of registration objects corresponding to the registration requests sent by the clients of the first type.

Step S400. Determine the hotspot area according to the client information corresponding to each registration request.

Specifically, the client information is used to characterize the location of registration objects corresponding to the registration requests sent by the clients of the first type, so as to count activity hotspots according to the number of registration objects in a preset area.

In an optional implementation manner of this embodiment, the determining the hotspot area may include:

Step S410, clustering the first location information corresponding to the registration requests to determine multiple location sets.

Specifically, at least one processor of the server determines the first location information corresponding to each registration request according to the step S300, and performs clustering according to preset clustering rules and the locations of the first location information to determine multiple A collection of locations. Optionally, the clustering rule may be to determine a plurality of cluster centers first, and add the first position information whose distance to each cluster center is less than a preset length to the position set corresponding to the cluster centers.

Step S420. Determine a corresponding hotspot area according to the location set including the first location information whose quantity is greater than a threshold.

Specifically, it is possible to determine the maximum longitude, maximum latitude, minimum longitude, and minimum latitude of the client information contained in each location set, and determine that the areas divided by the maximum longitude, maximum latitude, minimum longitude, and minimum latitude are corresponding to the location set Area. After clustering the client information to obtain multiple location sets, determine the number of client information included in each location set, that is, determine the number of registration objects included in the area corresponding to the location set, Determining that an area corresponding to a set of positions including the first position information whose amount is greater than a first threshold is a hotspot area. The method can divide regions by itself by clustering, and at the same time judge whether each region is a hotspot region according to the preset first threshold value. The situation in the area.

Optionally, when the activity needs to preset N areas as hotspot areas, it may also be determined that the areas corresponding to the N location sets including the largest number of client information are the hotspot areas. The method can divide regions by itself through clustering, and at the same time can determine a preset number of hotspot regions. .

Further, the server may also determine the hotspot area according to the first location information and historical sales information included in the client information. That is, after the location set is determined according to the first location information, the expected order quantity of the location set is determined according to the client information corresponding to the first location information included in the location sets. For example, calculating the weight of historical sales information corresponding to each first location information in the location set and determining the expected order quantity of the location set. In response to the expected order quantity being greater than a second threshold, it is determined that the area corresponding to the location set is a hotspot area. Optionally, the expected order quantity may also be determined through historical sales information and backlog order information included in the client information corresponding to the first location information, for example. Calculate the sum of the historical sales information weights corresponding to each first location information in the location set and the quantity of the backlog order information to determine the expected order quantity of the location set. In response to the expected order quantity being greater than a second threshold, it is determined that the area corresponding to the location set is a hotspot area.

In an alternative implementation manner of this embodiment, the determining the hotspot area may further include:

Step S410', determine the area where the first location information corresponding to each registration request is located.

Specifically, at least one processor of the server first determines the pre-divided area of the corresponding platform, and then determines the area where the first position information is located according to the coordinates of the first position information. Wherein, the regions may be divided according to cities, streets, business districts, districts, latitude and longitude, and the like. For example, in the food delivery platform, when the determined first location information corresponding to the merchant is "Wangjing SOHO, Chaoyang District, Beijing", the area where the first location information is located is determined to be "Wangjing area".

Step S420', determine that the area including the first location information amount greater than the second threshold is a hotspot area.

Specifically, after the area where the first location information is located is determined according to step S410', the number of first location information included in each area is determined, that is, the number of registration objects in each area is determined. For example, it is determined that an area including registered objects greater than a first threshold is a hotspot area. The method does not need to cluster the client information, and can directly determine the hotspot area according to the preset desired area, and at the same time judge whether each area is a hotspot area according to the preset first threshold value, and the accuracy of each determined hotspot area The degree is high, and it will not cause the area where a small number of applicants are located to be set as a hotspot area.

Optionally, when the activity needs to pre-set N areas as hotspot areas, the N areas that include the largest amount of first location information may be determined as hotspot areas. The method does not need to cluster the first location information, and can directly determine the hot spot area according to the preset desired area, which improves the speed and efficiency of the process of determining the hot spot area, and at the same time can determine a preset number of hot spot areas.

Further, the server may also determine the hotspot area according to the first location information and historical sales information included in the client information. That is, after determining the first location information included in each area, determine the expected order volume of the area according to the client information corresponding to each first location information, that is, historical sales information. For example, the weight of historical sales information corresponding to each first location information in the area is calculated to determine the expected order quantity of the location set. In response to the expected order quantity being greater than a third threshold, it is determined that the area is a hotspot area. Optionally, the expected order quantity may also be determined through historical sales information and backlog order information included in the client information corresponding to the first location information, for example. Calculate the sum of the historical sales information weights corresponding to each first location information in the region and the quantity of the backlog order information to determine the expected order quantity in the region. In response to the expected order quantity being greater than a third threshold, it is determined that the area is a hotspot area.

Step S500, scheduling distribution equipment to gather in the hotspot area according to a preset strategy.

Specifically, after the hotspot area is determined, the distribution equipment of the scheduling platform is dispatched to the hotspot area according to the scheduling policy preset by at least one processor in the server, so as to share the delivery pressure of the hotspot area during the event.

In an optional implementation of this embodiment, the process of scheduling delivery equipment to gather in hotspot areas may include:

Step S510, determine the dispatching client whose dispatching area covers the hotspot area.

Specifically, the dispatching client is connected to the server, and each dispatching client corresponds to a dispatching area, and the dispatching policy or other information of at least one processor of the server is used to dispatch delivery equipment in the dispatching area. After at least one processor of the server determines the hotspot area through step S400, it determines the scheduling client corresponding to the scheduling area covering the hotspot area. Optionally, the scheduling client of the scheduling area closest to the hotspot area may also be determined.

Step S520, sending notification information including the hotspot area identifier to the scheduling client to schedule delivery equipment through the scheduling client.

Specifically, the server sends notification information to the determined scheduling client, where the notification information includes a hotspot area identifier used to characterize the hotspot area and a corresponding scheduling policy. Wherein, when the hotspot area is an area determined by clustering, the area identifier can be the longitude and latitude of the edge of the area; when the hotspot area is a preset area, the area identifier can be the The name, code, number, etc. of the area. The scheduling policy is used to determine the scheduling process of the scheduling server, which may include scheduling time and scheduling content, for example, {"scheduling time: December 1, 2019"; "scheduling content: add 30 delivery devices"} .

Fig. 2 is a schematic diagram of a distribution equipment scheduling method in an optional implementation mode of an embodiment of the present invention. As shown in Fig. 2, when the platform needs to perform activities that affect the distribution pressure, the server 20 first sends the first type of client 21 Send activity information, then receive the registration request returned by the first type of client 21 based on the activity information, determine the hotspot area according to the received registration request, and finally send the notification information including the hotspot area identification and scheduling strategy to Dispatch client 22.

Fig. 4 is a schematic diagram of a system of a method for dispatching distribution equipment in an optional implementation mode according to an embodiment of the present invention. As shown in Fig. 4 , the system for implementing the method for dispatching distribution equipment includes a server 40 connected through a network, and a first-type client 41. Scheduling client 42 and distribution equipment 43. Wherein, the server 40 sends activity information to the first type client 41, and receives the registration request sent by the first type client 41, and the server 40 determines the hotspot area according to the received registration request, which will include The notification information of the identification of the hotspot area and the scheduling strategy is sent to the dispatching client 42, and the dispatching client 42 further dispatches the distribution equipment 43 in the area. The method can directly schedule the delivery equipment in the dispatching area through the scheduling client according to the scheduling strategy, without the need for the server to directly schedule the delivery equipment, reducing the processing capacity of the server and improving the overall efficiency of the system.

In another optional implementation of this embodiment, the process of scheduling delivery equipment to gather in hotspot areas may also include:

Step S510', determine the task information, the task information includes the second location information of the target object.

Specifically, the server receives task information, or generates corresponding task information according to the task request. The task information includes second location information of the target object, the target object is the final delivery object of the delivery task, and the second location information is the final delivery address of the delivery task. For example, on a food delivery platform, the target object is the user who placed the order, and the second location information is the delivery address of the user.

Step S520', determine the third location information of each delivery device.

Specifically, the location of each delivery device on the platform where the server is located is obtained to determine the corresponding third location information.

Step S530. Determine the distance between each delivery device and the hotspot area according to the third location information.

Specifically, the third location information is used to characterize the location of the corresponding distribution device, so the distance between the distribution device and the hotspot area can be determined by calculating the shortest distance from the third location information to the hotspot area.

Step S540, assigning the task information of the second location information in the hotspot area to the distribution equipment whose distance from the hotspot area is less than a distance threshold.

Specifically, it is determined that the delivery device whose distance to the hotspot area is smaller than the distance threshold is the target delivery device, that is, the adjacent device in the hotspot area is determined as the target delivery device. When receiving task information that the second location information is in a hotspot area, distribute the task information to the target delivery device, that is, distribute task information whose delivery address is a hotspot area to a delivery device adjacent to the hotspot area. The number of delivery devices in the hotspot area is increased by directly scheduling through the server.

Further, when the delivery equipment completes the orders allocated based on step S540, the server may also distribute the backlog order information in the hotspot area to the delivery equipment, so as to digest the backlog of orders in the hotspot area, Reduce distribution pressure in said hotspots. Fig. 3 is a schematic diagram of another optional implementation mode of the distribution equipment scheduling method of the embodiment of the present invention. As shown in Fig. 3, when the platform needs to do activities that affect the distribution pressure, the server 30 first sends the first type of client 31 to send activity information, and then receive the registration request returned by the first type of client 31 based on the activity information, determine the hotspot area according to the received registration request, and finally send the task information corresponding to the hotspot area, that is, the delivery address The task information for the hotspot area is sent to the adjacent target delivery device 32 . The method can directly dispatch the adjacent distribution equipment to the hotspot area through the server by assigning the task information whose delivery address is the hotspot area to the delivery equipment adjacent to the hotspot area, increasing the number of tasks that the hotspot had the day before. The number of distribution devices, and the method can be applied to areas without distribution clients, which is wider than the method described in Figure 2.

Fig. 5 is a system schematic diagram of another optional implementation mode of a distribution equipment scheduling method according to an embodiment of the present invention. As shown in Fig. end 51, the second type of client 52 and distribution equipment 53. Wherein, the server 50 sends activity information to the first-type client 51 and receives the registration request sent by the first-type client 51, and the server 50 determines the hotspot area according to the received registration request. After determining the hot spot area, when the server 50 receives the task information that the delivery address is the hot spot area sent by the second type client 52, it will directly send the task information to the delivery device 53 for processing, so that the delivery device 53 Dispatch to hotspot areas.

The method described in the embodiment of the present invention determines the activity hotspot area by determining the location of the first type of client that signed up when the activity was released, and then dispatches the distribution equipment according to the preset strategy. In order to realize the hotspot areas where the distribution pressure will increase during the activities in advance, and solve the problem of excessive distribution pressure during the activities in the hotspot areas by scheduling distribution equipment according to the preset strategy.

FIG. 6 is a schematic diagram of a delivery equipment scheduling device according to an embodiment of the present invention. As shown in FIG.

Specifically, the information sending module 60 is configured to send activity information to the first type of client through at least one processor. The request receiving module 61 is configured to receive, through at least one processor, a registration request returned by the first type of client based on the activity information, where the registration request includes an identifier of the first type of client. The location determination module 62 is configured to determine, through at least one processor, the client information of the first type of client corresponding to the received registration requests. The hotspot determination module 63 is configured to determine a hotspot area by at least one processor according to the client information corresponding to each registration request. The scheduling module 64 is configured to schedule delivery equipment to gather in the hotspot area according to a preset strategy through at least one processor.

Further, the hot spot determination module includes:

The first clustering unit is configured to cluster the client information corresponding to the registration requests to determine multiple location sets;

A first hotspot determining unit, configured to determine a corresponding hotspot area according to a location set including a quantity of client information greater than a first threshold.

Further, the hot spot determination module includes:

A second clustering unit, configured to cluster the first location information corresponding to the registration requests to determine multiple location sets;

The first prediction unit is configured to determine the expected order volume of the location set according to the client information corresponding to the first location information included in each location set;

The second hotspot determination unit is configured to determine that the area corresponding to the location set is a hotspot area in response to the expected order quantity being greater than a second threshold.

Further, the hot spot determination module includes:

A first area determining unit, configured to determine the area where the client information corresponding to each registration request is located;

A third hotspot determining unit, configured to determine an area including a quantity of first location information greater than a second threshold as a hotspot area.

Further, the hot spot determination module includes:

A second area determining unit, configured to determine the area where the first location information corresponding to each registration request is located;

The second forecasting unit is configured to determine the expected order quantity of the region according to the historical sales information corresponding to the first location information included in each region;

A fourth hot spot determining unit, configured to determine that the area is a hot spot area in response to the expected order quantity being greater than a third threshold.

Further, the client information also includes backlog order information corresponding to the first type of clients.

Further, the scheduling module includes:

a client determining unit, configured to determine a scheduling client whose scheduling area covers the hotspot area;

A notification unit, configured to send notification information including the identification of the hotspot area to the scheduling client, so as to schedule delivery equipment through the scheduling client.

Further, the scheduling module includes:

a task determining unit, configured to determine task information, the task information including the second position information of the target object;

a location determining unit, configured to determine the third location information of each delivery device;

A distance calculation unit, configured to determine the distance between each delivery device and the hotspot area according to the third position information;

An allocating unit, configured to allocate the task information of the second position information in the hotspot area to the distribution equipment whose distance from the hotspot area is less than a distance threshold.

Further, the scheduling module also includes:

A second distributing unit, configured to distribute the backlog order information to the distributing equipment in response to the distributing equipment completing the task information.

The device can determine the activity hotspot area by determining the location of the first type of client that signed up when releasing the activity, and then schedule the distribution equipment according to the preset strategy. In order to realize the hotspot areas where the distribution pressure will increase during the activities in advance, and solve the problem of excessive distribution pressure during the activities in the hotspot areas by scheduling distribution equipment according to the preset strategy.

Fig. 7 is a schematic diagram of an electronic device according to an embodiment of the present invention. As shown in Fig. 7, in this embodiment, the electronic device may be a server or a terminal, and the terminal may be, for example, a smart phone, a computer, a tablet computer, etc. equipment. As shown in the figure, the electronic device includes: at least one processor 71; a memory 70 communicatively connected to the at least one processor; and a communication component 72 communicatively connected to the storage medium, and the communication component 72 is under the control of the processor Receiving and sending data; wherein, the memory 70 stores instructions executable by at least one processor 71, and the instructions are executed by at least one processor 71 to implement the distribution equipment scheduling method described in the embodiment of the present invention.

Specifically, the memory 70, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs and modules. The processor 71 executes various functional applications and data processing of the device by running non-volatile software programs, instructions and modules stored in the memory, that is, realizes the above-mentioned distribution device scheduling method.

The memory 70 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application program required by at least one function; the data storage area may store an option list and the like. In addition, the memory 70 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage devices. In some embodiments, the memory 70 may optionally include a memory that is remotely located relative to the processor 71, and these remote memories may be connected to external devices through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

One or more modules are stored in the memory 70, and when executed by one or more processors 71, execute the dispatching equipment scheduling method in any method embodiment above.

The above-mentioned products can execute the methods disclosed in the embodiments of this application, and have corresponding functional modules and beneficial effects for executing the methods. For technical details that are not described in detail in this embodiment, please refer to the methods disclosed in the embodiments of this application.

The present invention also relates to a computer-readable storage medium for storing a computer-readable program, and the computer-readable program is used for a computer to execute part or all of the above method embodiments.

That is, those skilled in the art can understand that all or part of the steps in the method of the above-mentioned embodiments can be completed by instructing related hardware through a program, the program is stored in a storage medium, and includes several instructions to make a device ( It may be a single-chip microcomputer, a chip, etc.) or a processor (processor) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-OnlyMemory), random access memory (RAM, Random Access Memory), magnetic disk or optical disc and other media that can store program codes.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims (16)

1. A distribution equipment scheduling method, characterized in that the method comprises: sending activity information to a first type of client through at least one processor; receiving, by at least one processor, a registration request returned by the first type of client based on the activity information, where the registration request includes an identifier of the first type of client; determining by at least one processor the client information of the first type of client corresponding to the received registration requests, where the client information includes first location information and historical sales information; Using at least one processor to determine the hotspot area according to the client information corresponding to each registration request; Scheduling distribution equipment to gather in the hotspot area according to a preset policy by at least one processor; The determining the hotspot area according to the client information corresponding to each registration request through at least one processor includes; clustering the first location information corresponding to the registration requests to determine a plurality of location sets; determining the expected order volume of the location set according to the historical sales information corresponding to the first location information in each location set; In response to the amount of first location information in each location set being greater than a first threshold, or the expected order volume being greater than a second threshold, the corresponding location set is determined as the hotspot area. 2. The method according to claim 1, wherein determining the hotspot area according to the client information corresponding to each registration request comprises: determining the area where the first location information corresponding to each registration request is located; Determining that an area including the amount of the first location information greater than the second threshold is a hotspot area. 3. The method according to claim 1, wherein determining the hotspot area according to the client information corresponding to each registration request comprises: determining the area where the first location information corresponding to each registration request is located; determining the expected order volume of the area according to the client information corresponding to the first location information included in each area; In response to the expected order quantity being greater than a third threshold, it is determined that the area is the hotspot area. 4. The method according to claim 2 or 3, wherein the client information further includes backlog order information corresponding to the first type of client. 5. The method according to claim 1, wherein the scheduling of delivery devices to gather in the hotspot area according to a preset strategy comprises: Determining that the scheduling area covers the scheduling client of the hotspot area; Sending notification information including the identification of the hotspot area to the scheduling client to schedule delivery equipment through the scheduling client. 6. The method according to claim 4, characterized in that the scheduling of delivery devices to gather in the hotspot area according to a preset strategy comprises: determining task information, where the task information includes second position information of the target object; Determine the third location information of each delivery device; determining the distance between each delivery device and the hotspot area according to the third position information; Assigning the task information of the second position information in the hotspot area to the distribution equipment whose distance from the hotspot area is less than a distance threshold. 7. The method according to claim 6, wherein the scheduling of delivery devices to gather in the hotspot area according to a preset strategy further comprises: The backlog information is distributed to the delivery facility in response to the delivery facility completing the task information. 8. A resource allocation device, characterized in that the device comprises: An information sending module, configured to send activity information to the first type of client through at least one processor; A request receiving module, configured to receive, through at least one processor, a registration request returned by the first type of client based on the activity information, where the registration request includes an identifier of the first type of client; A location determination module, configured to determine, through at least one processor, the client information of the first type of client corresponding to the received registration requests, the client information including first location information and historical sales information; A hotspot determination module, configured to determine a hotspot area according to the client information corresponding to each registration request through at least one processor; A scheduling module, configured to schedule delivery equipment to gather in the hot spot area through at least one processor according to a preset policy; The hotspot determination module includes: The first clustering unit is configured to cluster the client information corresponding to the registration requests to determine multiple location sets; The first prediction unit is configured to determine the expected order quantity of the location set according to the historical sales information corresponding to the first location information in each location set; The second hotspot determining unit is configured to determine the corresponding set of locations as the hotspot area in response to the amount of first location information in each of the location sets being greater than a first threshold, or the expected order quantity being greater than a second threshold. 9. The device according to claim 8, wherein the hotspot determining module comprises: A first area determining unit, configured to determine the area where the client information corresponding to each registration request is located; A third hotspot determining unit, configured to determine that an area including the first position information amount greater than the second threshold is a hotspot area. 10. The device according to claim 8, wherein the hotspot determining module comprises: a second area determining unit, configured to determine the area where the first location information corresponding to each registration request is located; The second forecasting unit is configured to determine the expected order quantity of the region according to the historical sales information corresponding to the first location information included in the regions; A fourth hot spot determining unit, configured to determine that the area is the hot spot area in response to the expected order quantity being greater than a third threshold. 11. The device according to claim 9 or 10, wherein the client information further includes backlog order information corresponding to the first type of client. 12. The device according to claim 8, wherein the scheduling module comprises: a client determining unit, configured to determine a scheduling client whose scheduling area covers the hotspot area; A notification unit, configured to send notification information including the identification of the hotspot area to the scheduling client, so as to schedule delivery equipment through the scheduling client. 13. The device according to claim 11, wherein the scheduling module comprises: a task determining unit, configured to determine task information, the task information including the second position information of the target object; a location determining unit, configured to determine the third location information of each delivery device; A distance calculation unit, configured to determine the distance between each delivery device and the hotspot area according to the third position information; The first distribution unit is configured to distribute the task information of the second position information in the hotspot area to the distribution equipment whose distance from the hotspot area is less than a distance threshold. 14. The device according to claim 13, wherein the scheduling module further comprises: A second distributing unit, configured to distribute the backlog order information to the distributing equipment in response to the distributing equipment completing the task information. 15. A computer-readable storage medium for storing computer program instructions, wherein the computer program instructions implement the method according to any one of claims 1-7 when executed by a processor. 16. An electronic device comprising a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement The method according to any one of claims 1-7.

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