TWM609426U - Resource allocation system based on binary space partition - Google Patents

Abstract

In a resource allocation system, the allocation server uses a binary space division method based on multiple resource location data, multiple object location data and geographic range data about multiple marketing resources and multiple reference division objects within a predetermined geographic range , Divide the predetermined geographic area into multiple geographic areas so that each geographic area has only one marketing resource and obtain geographic area data of each geographic area; based on the location data of these objects and all geographic area data, use binary space division Relationship, establish a binary tree; and assign each potential corporate customer to the corresponding marketing resource based on multiple customer data collected from multiple potential corporate customers and the binary tree, so that each marketing resource is allocated to all potential The number of customers does not exceed its allocated capacity.

Description

Resource allocation system based on binary space division

This new model relates to the resource allocation of enterprise marketing, and especially refers to a resource allocation method system based on binary space division.

Financial companies usually use geographic administrative region or geographic distance as the basis for how to allocate marketing resources (such as all branches of the financial company) before marketing related financial products to potential corporate customers. However, in fact, there may be multiple marketing resources (such as branches of multiple bank branches) in the same geographic administrative area, or there may not be any marketing resources. Under the aforementioned circumstances, it will be difficult for all potential corporate customers to make effective Marketing resource allocation. In addition, if the allocated marketing resources (ie, branch of a bank branch) are determined according to the geographic location of each potential corporate customer (such as the address registered by the corporate customer), for each potential corporate customer, it will be allocated For the marketing resources that are closest to the geographic location, such an allocation method will no longer be able to consider other objective factors other than geographic distance, such as traffic, terrain, and field responsibility areas.

Therefore, in the fierce market competition, for a large number of potential corporate customers, how to come up with a high-efficiency and conducive to the promotion of marketing business The way of resource allocation has become one of the issues that financial companies urgently need to resolve.

Therefore, the purpose of the present invention is to provide a resource allocation system based on binary space division, which can overcome at least one shortcoming of the prior art.

2)個行銷資源，並包含，並包含一資料伺服器、及一分配伺服器。 Therefore, a resource allocation system based on binary space division provided by the present invention is suitable for P(P) provided by a financial institution with the same allocation capacity N and located in a predetermined geographic range.

2) A marketing resource, including, and including a data server and a distribution server.

N×P)筆分別有關於位於該預定地理範圍內的M個潛在企業客戶的客戶資料，每筆客戶資料至少指示出對應的潛在企業客戶的地理位置。 The data server is configured to collect M(M

N×P) pieces of customer data about M potential corporate customers located within the predetermined geographic area, and each piece of customer data at least indicates the geographic location of the corresponding potential corporate customer.

1)筆分別指示出位於預定地理範圍內的Q個不同參考劃分物件之地理位置的物件位置資料。 The distribution server is connected to the data server to receive the M client data, and includes a storage module and a processing module electrically connected to the storage module. The distribution server obtains P pieces of resource location data indicating the geographic locations of the P marketing resources, the geographic range data of the predetermined geographic range, and Q(P>Q

1) The object location data respectively indicating the geographic locations of Q different reference-divided objects located within a predetermined geographic range.

The processing module of the distribution server is based on the obtained P resource location data, the Q object location data, and the geographic range data, and uses binary space analysis The predetermined geographic area is divided into P geographic regions, so that each geographic region has only one of the P marketing resources corresponding to one of the marketing resources, and P pens indicating the geographic regions of the P geographic regions are obtained. Area data, where the P geographic areas are divided by the Q reference division objects.

The processing module of the distribution server uses the binary space division relationship to establish a non-terminal node with Q respectively corresponding to the Q reference divided objects according to the obtained Q object location data and the P geographic area data. And P binary trees respectively corresponding to the leaf nodes of the P geographic regions, and store the binary trees in the storage module. Each non-terminal node of the binary tree stores object location data indicating the geographic location of the corresponding reference division object, and each leaf node in the binary tree stores geographic area data indicating the corresponding geographic area.

The processing module of the distribution server allocates each potential enterprise customer to one of the P marketing resources based on the M customer data received from the data server and the binary tree stored by the storage module Marketing resources, so that the number of all potential customers allocated to each marketing resource does not exceed the allocated capacity N. For each potential corporate customer, the marketing resource in the geographic area where the potential corporate customer is located is used as the corresponding marketing Resources, or marketing resources in a geographic area corresponding to another leaf node that has a neighboring relationship with a leaf node corresponding to the geographic area where the potential enterprise customer is located, are used as the corresponding marketing resources.

In the new resource allocation system based on binary space division, each customer The account information also indicates the amount of capital of the corresponding potential corporate client. The data server sorts the M potential corporate customers to obtain a sorting result according to the M customer data using a sorting method related to the amount of capital, and sends the M customer data together with the sorting result to the Assign servers. The processing module of the distribution server executes the distribution processing of each potential enterprise customer according to the sorting result from the data server.

In the resource allocation system based on binary space division of the present invention, in the allocation server, the storage module also stores an allocation record table that records the potential enterprise customers to which each marketing resource has been allocated. For each potential corporate customer, when the processing module confirms that the distribution record table stored by the storage module, the cumulative number of potential corporate customers recorded by the marketing resources in the geographic area where the potential corporate customer is located is less than the allocation When the capacity is N, the processing module uses the marketing resources in the geographic area where the potential corporate customer is located as the corresponding marketing resource, and records the newly-added location of the potential corporate customer in the allocation record table stored in the storage module. And when the processing module confirms that in the distribution record table stored by the storage module, the cumulative number of potential corporate customers to which the marketing resources in the geographic area where the potential corporate customer is located has reached the allocated capacity N, The processing module sequentially confirms the location of one or more candidate leaf nodes in the distribution record table stored by the storage module with a leaf node corresponding to the geographic area where the potential enterprise customer is located. Whether the cumulative number of potential corporate customers recorded by the marketing resources in the corresponding geographic area is less than the allocated capacity N, until the first confirmation of the geographic area corresponding to a candidate leaf node When the cumulative number of marketing resources is less than the allocated capacity N, the marketing resource in the geographic area corresponding to the candidate leaf node is used as the corresponding marketing resource, and the potential enterprise customer's newly added location is recorded in the storage module for storage Of the distribution record table.

In the resource allocation system based on binary space division of the present invention, the processing module of the allocation server generates P pieces corresponding to the P pieces according to the M customer data and the allocation record table stored by the storage module Distribution results of marketing resources, each distribution result indicates a corresponding marketing resource among the P marketing resources and includes customer data of all potential customers to which the corresponding marketing resource is allocated. The distribution server sends a distribution result corresponding to one of the P distribution results to a user terminal provided by each marketing resource.

The effect of the present invention is that since the predetermined geographic range is based on the reference segmentation object considering the transportation facilities, the natural geographic environment, the geographic location of the marketing resources, etc., and the binary space segmentation method is used to divide the geographic areas, Therefore, the binary tree established on this basis can appropriately allocate all potential corporate customers in a relatively fast manner, so that the potential corporate customers allocated to each marketing resource are geographically and the location of the marketing resource. It has a considerable degree of proximity to achieve an optimized configuration, which is beneficial to the implementation of subsequent marketing services, in order to effectively increase the achievement rate of marketing services.

100: Resource allocation system

1: Data server

2: Assign server

21: Storage module

211: Binary Tree

212: Allocation Record Sheet

22: Processing module

200: Use terminal

S21-S27: steps

3: predetermined geographic area

31~40: Geographical area

L1~L9: Reference divided objects

A1~A10: Geographical location of marketing resources

411~419: non-terminal node

421~430: leaf node

D1~D9: Object location data

E1~E10: Geographical area data

The other features and effects of the present invention will be clearly presented in the embodiments with reference to the drawings, in which: FIG. 1 is a block diagram illustrating the architecture of the resource allocation system of the embodiment of the present invention by way of example; FIG. 2 is a process The figure illustrates how this embodiment executes a resource allocation procedure for marketing resources within a predetermined geographic area; Fig. 3 is a schematic diagram illustrating how a distribution server of this embodiment exemplifies how to divide the resources based on binary space. The predetermined geographic area is divided into ten geographic regions; and FIG. 4 is a schematic diagram illustrating the structure of a binary tree established by the distribution server and corresponding to the ten geographic regions as shown in FIG. 3.

Before the present invention is described in detail, it should be noted that in the following description, similar elements are represented by the same numbers.

2)個行銷資源(例如，銀行機構的分行，但不在此限)。該資源配置系統100可實施成一電腦系統，並例如包含一用於客戶資料蒐集的資料伺服器1、及一與該資料伺服器1通訊 連接的分配伺服器2。該分配伺服器2例如包括一儲存模組21、及一電連接該儲存模組21的處理模組22。 1, a resource allocation system 100 based on binary space division according to an embodiment of the present invention is applicable to a marketing organization (for example, a banking organization, but not limited to) provided by a marketing organization (for example, a banking organization, but not limited to this). P(P

2) A marketing resource (for example, a branch of a banking institution, but not limited to this). The resource allocation system 100 can be implemented as a computer system, and includes, for example, a data server 1 for collecting customer data, and a distribution server 2 communicating with the data server 1. The distribution server 2 includes, for example, a storage module 21 and a processing module 22 electrically connected to the storage module 21.

Hereinafter, referring to FIG. 1 and FIG. 2, how the resource allocation system 100 executes a resource allocation procedure for marketing resources within the predetermined geographic area will be illustrated by way of example. The resource allocation procedure includes the following steps S21~S27.

In step S21, the data server 1 is configured to collect, for example, from the official database of the Ministry of Economic Affairs, all the industries related to a specific marketing project (for example, green energy industry, but not limited to) located in the predetermined geographic area. Customer profile of potential corporate customers. In this embodiment, each customer data indicates, for example, the geographic location, capital amount, and other related information of the corresponding potential enterprise customer. These potential corporate customers are related to a specific marketing project industry (for example, green energy industry, but not limited to this).

N×P)個前在企業客戶的排序結果及對應的M筆客戶資料一併傳送至該分配伺服器2。更具體地，在所有潛在企業客戶的數量不大於N×P的情況下，該資料伺服器1將蒐集到的所有潛在企業客戶的客戶資料作為該M筆客戶資料，而在所有潛在企業客戶的數量大於N×P的情況下，為顧及每一行銷資源所能支援行銷的該分配容量N，該資料伺服器1僅將對應於前N×P個潛在企業客戶(即具有相對較大資本額的潛在企業客戶)的客戶資料作為該M 筆客戶資料。 After that, in step S22, the data server 1 sorts all potential corporate customers according to the amount of capital from large to small according to all the collected customer data, and arranges the top M (M

N×P) The ranking results of the previous enterprise customers and the corresponding M customer data are sent to the distribution server 2 together. More specifically, in the case that the number of all potential corporate customers is not greater than N×P, the data server 1 will collect the customer data of all potential corporate customers as the M pieces of customer data, and in the case of all potential corporate customers When the number is greater than N×P, in order to take into account the allocated capacity N of the marketing that each marketing resource can support, the data server 1 will only correspond to the first N×P potential enterprise customers (that is, with relatively large capital The customer information of potential corporate customers) is used as the M customer information.

Therefore, when the distribution server 2 receives the arrangement result from the data server 1 and the M customer data, the processing module 22 stores the M customer data in the storage module 22 to create a related The allocation record table 212 of the M potential corporate customers and the P marketing resources (which is used to record the allocation of all marketing resources), and the allocation record table 212 is stored in the storage module 22 (see FIG. 1).

1)筆分別指示出位於預定地理範圍內的Q個不同參考劃分物件之地理位置的物件位置資料。在本實施例中，每一參考劃分物件可以是鐵路、河流或所欲的地理劃分線。 On the other hand, in step S23, the distribution server 2 can obtain P pieces of resource location data indicating the geographic locations of the P marketing resources and the geographic range of the predetermined management range through manual input or external reception. Data, and Q(P>Q

1) The object location data respectively indicating the geographic locations of Q different reference-divided objects located within a predetermined geographic range. In this embodiment, each reference division object can be a railway, a river, or a desired geographical division line.

Then, in step S24, the processing module 22 of the distribution server 2 obtains the P resource location data, the Q object location data, and the geographic range data, and uses a binary space division method to divide The predetermined geographic range is divided into P geographic regions, so that each geographic region has only one of the P marketing resources corresponding to one of the marketing resources, and P pieces of geographic region data indicating the P geographic regions are obtained, wherein the P geographic areas are divided by the Q reference division objects.

For example, in the example shown in FIG. 3, the predetermined geographic area contains 10 (=P) marketing resources and 9 (=Q) reference division objects (hereinafter, L1~L9). To represent). In this example, the geographic locations of the marketing resources are represented by A1~A10, and the reference division object L1 is for example a railway, the reference division objects L2, L3 are for example a river, and other reference division objects L4~ L9 is, for example, the desired geographical division line. It is worth noting that these geographical division lines are not limited to straight or horizontal lines, and can also be diagonal lines in other aspects. In more detail, the processing module 22 first divides the predetermined geographic area 3 into the left-hand side according to the object location data (hereinafter, denoted by D1) corresponding to the reference divided object L1 (railway) and the geographic area data. One sub-range and the second sub-range on the right. Then, the processing module 22 divides the first sub-range into the lower left according to the object location data (hereinafter, denoted by D2) corresponding to the reference divided object L2 (river), the geographic area data, and the object location data D1 The third sub-range and the fourth sub-range on the upper left; and according to the geographic location data (hereinafter, denoted by D3) corresponding to the reference division object L3 (river), the geographic area data and the object location data D1 The second sub-range is divided into a fifth sub-range at the lower right and a sixth sub-range at the upper right. Then, the processing module 22 according to the object location data (hereinafter, denoted by D4) corresponding to the reference division object L4 (for example, a vertical geographic division line equidistant from the geographic position A2 and A3 in the horizontal direction), the The geographic area data, and the object location data D1, D2 divide the third sub-area into the seventh sub-area on the left and the geographic area 33 on the right, and obtain the geographic area data indicating the geographic area 33 (hereinafter referred to as E3); according to the object location data corresponding to the reference division object L5 (for example, a vertical geographic division line equidistant from the geographic position A4 and A5 in the horizontal direction) (hereinafter, referred to as D5 To represent), the geographic area data, and the object location data D1, D2 divide the fourth sub-area into a geographic area 34 on the left and a geographic area 35 on the right, and obtain the respective indications of the geographic areas 34, 35 Two pieces of geographic area data (hereinafter, represented by E4 and E5 respectively); according to the object location corresponding to the reference division object L6 (for example, a vertical geographic division line equidistant from the geographic position A6 and A8 in the horizontal direction) Data (hereinafter, denoted by D6), the geographic area data, and the object location data D1, D3 divide the fifth sub-range into the eighth sub-range on the left and the geographic area 38 on the right, and obtain an indication of the Geographical area data of geographic area 38 (hereinafter, denoted by E8); and object location data corresponding to the reference division object L7 (for example, a vertical geographic division line equidistant from the geographic location A9 and A10 in the horizontal direction) (Hereinafter, denoted by D7), the geographic area data, and the object location data D1, D3 divide the sixth sub-area into a geographic area 39 on the left and a geographic area 40 on the right, and obtain the respective indications Two pieces of geographic area data for geographic areas 39 and 40 (hereinafter, denoted by E9 and E10 respectively). Finally, the processing module 22 according to the object location data (hereinafter, denoted by D8) corresponding to the reference division object L8 (for example, a horizontal geographic division line equidistant from the geographic position A1 and A2 in the vertical direction), the The geographic area data and the geographic location data D2, D4 divide the seventh sub-area into a lower geographic area 31 and an upper geographic area 32, and two geographic areas indicating the geographic areas 31, 32 are obtained. Area data (hereinafter, denoted by E1 and E2 respectively); and divide the object L9 according to the reference (for example, a horizontal line that is equidistant from the geographical position A6 and A7 in the vertical direction) The object location data (indicated by D9 below) of the geographic division line, the geographic area data, and the object location data D1, D3, D6 divide the eighth sub-area into a lower geographic area 36 and an upper area Geographic area 37, and obtain two pieces of geographic area data indicating the geographic areas 36 and 37 (hereinafter, denoted by E6 and E7 respectively). Therefore, the processing module 22 divides the predetermined geographic area 3 into the geographic regions 31-40 (ie, P=10), and each geographic region 31/.../40 has only one marketing resource.

In step S25 following step S24, the processing module 22 of the distribution server 2 uses the obtained Q object location data and the P geographic area data to establish a binary space division relationship to establish a The non-terminal nodes corresponding to the Q reference partition objects and the P binary trees 211 respectively corresponding to the leaf nodes of the P geographic regions respectively, and the binary trees 211 are stored in the storage module 21. Please note that in this embodiment, each non-terminal node of the binary tree 211 stores object location data indicating the geographic location of the corresponding reference divided object, and each leaf node in the binary tree 211 stores an indication Output the geographic area data of the corresponding geographic area.

For example, in the case shown in FIG. 3, please refer to FIG. 4. The binary tree 211 established by the processing module 22 has 9 (=Q) non-terminal nodes 411 to 419, and 10 (=Q) Leaf nodes 421~430. The non-terminal nodes 411 to 419 store the object location data D1 to D9, respectively, and the leaf nodes 421 to 430 store the geographic area data E1 to E10, respectively.

In step S26 following step S22 and step S25, the processing module 22 of the distribution server 2 is based on the sorting result received from the data server 1 and the M pieces of customer data stored by the storage module 21 , The allocation record table 212 and the binary tree 211, sequentially allocate each potential enterprise customer to one of the P marketing resources corresponding to one of the marketing resources, so that the number of all potential customers allocated to each marketing resource is not Exceed the allocated capacity N.

More specifically, in step S26, for each potential enterprise customer, the processing module 22 may first identify the potential enterprise based on the customer data of the potential enterprise customer and the geographic area data stored in the leaf nodes of the binary tree 211 The geographic area where the customer's geographic location is located, and then, according to the allocation record table 212, it is determined whether the cumulative number of potential corporate customers to which the marketing resources in the geographic area have been allocated is less than the allocated capacity N. If the confirmation result is affirmative, the processing module 22 then uses the marketing resources in the geographic region where the potential corporate customer is located as the corresponding marketing resource (that is, assigns the potential corporate customer to the geographic region where the potential corporate customer is located). Marketing resources), and record the newly added location of the potential enterprise customer in the allocation record table 212 stored in the storage module 22. Conversely, if the confirmation result is negative (that is, the cumulative number of potential customers to which the marketing resources in the geographic area where the potential corporate customer is located has reached the allocated capacity N), in this case, the processing model Group 22 will further confirm one or more other leaf nodes in the binary tree 211 that have a neighbor relationship with a leaf node corresponding to the geographic area where the potential enterprise customer is located (especially starting from the nearest neighbor in terms of proximity) (Hereinafter, also called waiting Whether the cumulative number of potential corporate customers to which the marketing resources in the geographic area corresponding to the selected leaf node has been allocated is less than the allocated capacity N, until the first confirmation of the accumulation of marketing resources in the geographic area corresponding to a candidate leaf node When the number is less than the allocated capacity N, the marketing resource in the geographic area corresponding to the candidate leaf node is used as the corresponding marketing resource, and the potential enterprise customer's newly added location is recorded in the allocation record table stored in the storage module 22 212.

Take the geographical regions 31-40 divided in FIG. 3 and the binary tree 211 in FIG. 4 as an example (that is, P=9 and Q=10), to further illustrate that in the case of N=5 and M=50, for a A potential corporate customer (to be allocated), if the processing module 22 confirms that the geographic location of the potential corporate customer is in the geographic area 36, and at the same time confirms that the marketing resources in the geographic area 36 (its geographic location is A6) have been When the cumulative number of potential corporate customers allocated is, for example, 4 (which is less than 5), in this case, the processing module 22 allocates the potential corporate customer to the marketing resource in the geographic area 34, and assigns the The potential customer’s newly added location is recorded in the field of the allocation record table 212 corresponding to the marketing resource in the geographic area 34. In other words, the cumulative number of potential corporate customers to which the marketing resource in the geographic area 36 has been allocated is from 4 is updated to 5 (that is, the allocated capacity has been reached), and then the processing module 22 will no longer allocate any potential enterprise customers to this marketing resource. Later, for another potential corporate customer (to be assigned), if the processing module 2 confirms that the geographic location of the potential corporate customer is still in the geographic area 36 (corresponding to the leaf node 426 in FIG. 4), confirm at the same time The marketing resources within the geographic area 36 have been allocated to it When the cumulative number of potential corporate customers has reached 5, in this case, the processing module 22 will first confirm the candidate leaf node closest to the leaf node 426 in the binary tree 211 of FIG. 4, that is, the leaf node 427 , Whether the cumulative number of potential corporate customers to which the marketing resources in the corresponding geographic area 37 have been allocated is less than 5. If unfortunately, the cumulative number of potential corporate customers to which the marketing resources in the geographic area 37 have been allocated has reached 5, the processing module 22 will further confirm that the binary tree 211 in FIG. 4 is adjacent to the leaf node 426 times Is the candidate leaf node of, that is, the leaf node 428 of the upper level, whether the cumulative number of potential corporate customers to which the marketing resources in the corresponding geographic area 38 have been allocated is less than 5. If the cumulative number of potential corporate customers to which the marketing resource in the geographic area 38 has been allocated is less than 5, the processing module 22 will allocate the other potential corporate customer to the marketing resource in the geographic area 38, and Record the newly added location of the other potential customer in the field of the allocation record table 212 corresponding to the marketing resource in the geographic area 38. Otherwise, the processing module 22 will further confirm the candidate leaf nodes relatively adjacent to the leaf node 426 in the binary tree 211 of FIG. 4, such as the leaf node 429 or the leaf node 430, until the first confirmation that the leaf node 30 is located. When the cumulative number of potential corporate customers to which the marketing resources in the corresponding geographic area 40 has been allocated is less than 5, the processing module 22 allocates the other potential corporate customer to the marketing resources in the geographic area 40, and The other potential customer is newly recorded in the field of the allocation record table 212 corresponding to the marketing resource in the geographic area 40.

When the allocation of all potential corporate customers is completed, finally, in step S27 In this case, the processing module 22 of the distribution server 2 generates P distribution results corresponding to the P marketing resources according to the M customer data stored in the storage module 21 and the distribution record table 212. In this embodiment, each allocation result indicates, for example, a corresponding marketing resource and includes customer data of all potential enterprise customers to which the corresponding marketing resource is allocated. Therefore, the distribution server 2 sends a corresponding distribution result to a user terminal 200 (see FIG. 1) provided by each marketing resource. In this way, each marketing resource can arrange subsequent marketing operations according to the received allocation result.

To sum up, in the resource allocation system 100 of the present invention, since the predetermined geographic range is based on the reference segmentation of the object taking into account the transportation facilities, the natural geographic environment, the geographic location of the marketing resources, etc., and the use of binary space segmentation These geographical areas are divided by the method, so the binary tree 211 established based on it can appropriately allocate all potential corporate customers in a relatively fast manner, so that for the potential corporate customers allocated to each marketing resource, The geographical location has a considerable degree of proximity to the location of the marketing resources, so as to achieve an optimized configuration, which can facilitate the implementation of subsequent marketing services and effectively increase the achievement rate of marketing services. Therefore, the resource allocation system 100 of the present invention can indeed achieve the objective of the new type.

However, the above are only examples of the present model. When the scope of implementation of the present model cannot be limited by this, all simple equivalent changes and modifications made in accordance with the patent scope of the present model application and the contents of the patent specification still belong to This new patent covers the scope.

100: Resource allocation system

1: Data server

2: Assign server

21: Storage module

211: Binary Tree

212: Allocation Record Sheet

22: Processing module

200: Use terminal

Claims (4)

A resource allocation system based on binary space division, which is suitable for P (P≥2) marketing resources with the same allocation capacity N provided by a marketing agency and located in a predetermined geographic range, and includes: A data server, configured to collect M (M≤N×P) pieces of customer data about M potential corporate customers located within the predetermined geographic area, each customer data at least indicating the corresponding potential corporate customer Geographical location; and A distribution server, connected to the data server to receive the M client data, and includes a storage module, and a processing module electrically connected to the storage module, and obtains P pens indicating the P marketing resources respectively The resource location data of the geographic location, the geographic area data of the predetermined geographic area, and the object location data of Q (P>Q≥1) pens respectively indicating the geographic locations of Q different reference divided objects located within the predetermined geographic area ； Wherein, the processing module of the distribution server divides the predetermined geographic area into P pieces of data based on the obtained P resource location data, the Q object location data, and the geographic range data, and uses a binary space division method Geographic regions, so that each geographic region has only one of the P marketing resources corresponding to one of the marketing resources, and obtains P pieces of geographic region data indicating the P geographic regions, where the P geographic regions are defined by the P geographic regions. Divided by Q reference division objects; Wherein, the processing module of the distribution server uses the binary space division relationship based on the obtained Q object location data and the P geographic area data to establish a Q object corresponding to the Q reference division objects. Non-terminal nodes and P binary trees corresponding to the leaf nodes of P geographical areas, and store the binary tree in the storage module, and each non-terminal node of the binary tree stores a corresponding reference partition Object location data of the geographic location of the object, and each leaf node in the binary tree stores geographic area data indicating the corresponding geographic area; and Wherein, the processing module of the distribution server allocates each potential enterprise customer to the P marketing resources based on the M customer data received from the data server and the binary tree stored by the storage module A corresponding marketing resource, so that the number of all potential customers allocated to each marketing resource does not exceed the allocated capacity N, where for each potential corporate customer, the marketing resource in the geographic area where the potential corporate customer is located is used as the Corresponding marketing resources, or marketing resources in a geographic area corresponding to another leaf node that has a neighboring relationship with a leaf node corresponding to the geographic area where the potential enterprise customer is located are used as the corresponding marketing resources. The resource allocation system based on binary space division as described in claim 1, wherein: Each customer profile also indicates the amount of capital of the corresponding potential corporate customer; The data server sorts the M potential corporate customers to obtain a sorting result according to the M customer data using a sorting method related to the amount of capital, and sends the M customer data together with the sorting result to the Assign servers; and The processing module of the distribution server executes the distribution processing of each potential enterprise customer according to the sorting result from the data server. The resource allocation system based on binary space division according to claim 1 or 2, wherein, in the allocation server: The storage module also stores an allocation record table, which records the potential corporate customers to which each marketing resource has been allocated; For each potential corporate customer, when the processing module confirms that the distribution record table stored by the storage module, the cumulative number of potential corporate customers recorded by the marketing resources in the geographic area where the potential corporate customer is located is less than the allocation When the capacity is N, the processing module uses the marketing resources in the geographic area where the potential corporate customer is located as the corresponding marketing resource, and records the newly-added location of the potential corporate customer in the allocation record table stored in the storage module. and When the processing module confirms that in the distribution record table stored by the storage module, the cumulative number of marketing resources to which the potential corporate customer is allocated in the geographic area where the potential corporate customer is located has reached the allocated capacity N, The processing module sequentially confirms that the allocation record table stored by the storage module corresponds to one or more candidate leaf nodes that correspond to a leaf node corresponding to the geographic area where the potential enterprise customer is located in proximity to each other. Whether the cumulative number of potential corporate customers recorded by the marketing resources in the geographic region is less than the allocated capacity N, until it is first confirmed that the cumulative number of marketing resources in the geographic region corresponding to a candidate leaf node is less than the allocated capacity N , The marketing resource in the geographic area corresponding to the candidate leaf node is used as the corresponding marketing resource, and the potential enterprise customer's newly added location is recorded in the allocation record table stored in the storage module. The resource allocation system based on binary space division as described in claim 1, wherein: The processing module of the distribution server generates P distribution results corresponding to the P marketing resources according to the M customer data and the distribution record table stored in the storage module, and each distribution result indicates the One of the P marketing resources corresponds to a marketing resource and contains the customer information of all potential corporate customers to which the corresponding marketing resource is allocated; and The distribution server sends a distribution result corresponding to one of the P distribution results to a user terminal provided by each marketing resource.

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