CN112465369A

CN112465369A - Logistics distribution hotspot pushing method and logistics distribution system

Info

Publication number: CN112465369A
Application number: CN202011410595.XA
Authority: CN
Inventors: 沈树新
Original assignee: Individual
Current assignee: Individual
Priority date: 2020-03-25
Filing date: 2020-03-25
Publication date: 2021-03-09
Also published as: CN111401767B; CN112465370A; CN111401767A

Abstract

The embodiment of the application provides a logistics distribution hot spot pushing method and a logistics distribution system, a hot spot distribution area thermal variation graph can be generated according to a hot spot distribution area corresponding to each set time period, and the hot spot distribution area thermal variation graph is pushed to a related logistics distribution server, so that the logistics distribution server can conveniently schedule logistics distribution request tasks according to the hot spot distribution area thermal variation graph, logistics distribution personnel can know the actual situation of each distribution area according to the hot spot distribution area thermal variation graph so as to make a next decision, subjective errors of judgment according to own experience are avoided, and the distribution efficiency of the logistics distribution personnel is improved to a certain extent.

Description

Logistics distribution hotspot pushing method and logistics distribution system

Technical Field

The application relates to the technical field of logistics pushing, in particular to a logistics distribution hotspot pushing method and a logistics distribution system.

Background

At present, with the rapid development of internet technology, the increase rate of the volume of the logistics orders in the logistics field (such as take-out delivery, emergency medicine delivery, etc.) is also directly accelerated. In the prior art, task allocation is usually performed according to a logistics order and the specific conditions of a logistics distribution transport tool, in the daily actual distribution process, it is very important for logistics distribution personnel how to improve distribution efficiency and avoid unnecessary time waiting, however, in the actual process, it is often difficult to predict the actual conditions of each distribution area in the next period of time, and the actual conditions can only be judged according to own experience, so that the distribution efficiency of the logistics distribution personnel is inevitably greatly influenced.

Disclosure of Invention

In view of the above, an object of the present application is to provide a logistics distribution hotspot pushing method and a logistics distribution system, which can generate a hotspot distribution area thermal variation graph according to a hotspot distribution area corresponding to each set time period and push the hotspot distribution area thermal variation graph to a related logistics distribution server, so that the logistics distribution server can perform scheduling of a logistics distribution request task according to the hotspot distribution area thermal variation graph, and can facilitate logistics distribution personnel to know an actual situation of each distribution area according to the hotspot distribution area thermal variation graph so as to perform a next decision, thereby avoiding a subjective error of judgment according to own experience, and improving distribution efficiency of the logistics distribution personnel to a certain extent.

In a first aspect, the present application provides a logistics distribution hotspot pushing method, which is applied to a server, where the server is in communication connection with a plurality of logistics distribution terminals, and the method includes:

when it is monitored that each logistics distribution terminal and a logistics receiving terminal of the logistics distribution request task establish a logistics distribution task, generating a logistics distribution path coordinate sequence of each logistics distribution task according to a preset path management strategy;

determining a distribution interest point corresponding to each logistics distribution path coordinate and logistics distribution frequency information corresponding to the distribution interest point according to the logistics distribution path coordinate sequence of each logistics distribution task, and obtaining an interest area range corresponding to the distribution interest point according to the logistics distribution frequency information and a distribution coordinate interval of the logistics distribution path coordinate calculated according to the logistics distribution path coordinate sequence;

fusing the interest area ranges of the logistics distribution frequency information corresponding to all the logistics distribution path coordinates contained in each logistics distribution task according to range communication conditions to obtain a fused interest area range of each logistics distribution task, and generating a hot spot distribution area corresponding to each set time period according to the interest area range of each logistics distribution task in each set time period;

generating a thermal variation graph of the hot spot distribution area according to the hot spot distribution area corresponding to each set time period, and pushing the thermal variation graph of the hot spot distribution area to a corresponding logistics distribution service end, so that the logistics distribution service end can schedule the logistics distribution request task according to the thermal variation graph of the hot spot distribution area.

In a possible design of the first aspect, the step of generating the logistics distribution path coordinate sequence of each logistics distribution task according to the preset path management policy includes:

acquiring a path coordinate generation model and a cooperative strategy of a path coordinate generation node in the path coordinate generation model from the preset path management strategy, and configuring a cooperative task type of the path coordinate generation node and a cooperative priority matched with the cooperative task type of the path coordinate generation node according to the cooperative strategy of the path coordinate generation node;

determining a task type and a task space position corresponding to a subtask according to a subtask node of the logistics distribution task, and determining a cooperative coordinate area of each to-be-determined path coordinate in the logistics distribution task according to a target cooperative task type where the task type corresponding to the subtask is located and a cooperative priority corresponding to the target cooperative task type;

starting from the coordinate generation process of the task type corresponding to the task entering the subtask in the coordinated coordinate area and ending at the coordinate generation process of the task type corresponding to the subtask, as a coordinate generation process, sequentially generating the positions of the coordinated coordinate area corresponding to the task type corresponding to the subtask to the path coordinate generation model, and comparing the coordinate generation sequence of the position sequences of all the coordinated coordinate areas stored in the coordinate generation process with the preset coordination strategy of the path coordinate generation node in the path coordinate generation model;

and if the coordinate generation sequence of the position sequence of the coordinated coordinate area stored in the coordinate generation process is matched with the coordinated strategy, determining the undetermined path coordinate corresponding to the coordinated coordinate area as an effective logistics distribution path coordinate, and recording the undetermined path coordinate into the logistics distribution path coordinate sequence to obtain a logistics distribution path coordinate sequence consisting of at least one logistics distribution path coordinate.

In a possible design of the first aspect, the step of determining, according to the logistics distribution path coordinate sequence of each logistics distribution task, a distribution interest point corresponding to each logistics distribution path coordinate and logistics distribution frequency information corresponding to the distribution interest point includes:

determining coordinate coverage frequency information of each corresponding logistics distribution path coordinate according to a logistics distribution path coordinate sequence of each logistics distribution task, and converting the coordinate coverage frequency information into a frequent feature matrix, wherein the frequent feature matrix is obtained by calculation based on the coordinate coverage frequency information of each corresponding logistics distribution path coordinate and a preset frequent correlation coefficient, the preset frequent correlation coefficient is respectively related to the logistics task type of each corresponding logistics distribution path coordinate, and different logistics task types are in one-to-one correspondence with different preset frequent correlation coefficients;

constructing a corresponding logistics coding map according to the frequent feature matrix, and classifying the constructed logistics coding map to obtain a plurality of coding map features, wherein the logistics coding map comprises frequent feature information corresponding to different logistics distribution path coordinates, and the coding map features are used for representing feature parts formed by the frequent feature information of a logistics distribution path coordinate sequence of each same logistics distribution task type;

acquiring a weighted value of a feature vector of each feature part in each coding map feature to obtain a frequency feature value of the coding map feature;

screening a plurality of coding map features associated with the frequency feature values to generate a corresponding interest point matrix consisting of screening combinations of the plurality of screened coding map features;

and determining distribution interest points corresponding to the coordinates of each logistics distribution path and logistics distribution frequency information corresponding to the distribution interest points according to the interest point matrix.

In a possible design of the first aspect, the step of determining, according to the interest point matrix, a distribution interest point corresponding to each logistics distribution path coordinate and logistics distribution frequency information corresponding to the distribution interest point includes:

selecting an interest point with the maximum frequency characteristic and an interest point with the minimum frequency characteristic from the interest point matrix as a first interest point and a second interest point respectively, calculating frequency characteristic offset between each interest point in the interest point matrix and the first interest point and the second interest point respectively, allocating the interest points with the frequency characteristic offset smaller than or equal to the frequency characteristic offset of the first interest point to a first interest point sequence, and allocating the interest points with the frequency characteristic offset larger than the frequency characteristic offset of the second interest point to a second interest point sequence;

calculating the frequency of all interest points in the first interest point sequence, obtaining the first interest points again, calculating the frequency of all interest points in the second interest point sequence, and obtaining the second interest points again;

repeating the above steps until the first interest point and the second interest point obtained again are the same as the first interest point and the second interest point obtained again last time, and obtaining an interest point in the first interest point sequence corresponding to the first interest point obtained finally and an interest point in the second interest point sequence corresponding to the second interest point obtained finally;

dividing the interest points in the interest point matrix into a first interest point matrix and a second interest point matrix according to the interest points in the first interest point sequence corresponding to the first interest point obtained finally and the interest points in the second interest point sequence corresponding to the second interest point obtained finally;

and determining an interest point set part of distribution interest points corresponding to the logistics distribution path coordinates according to the first interest point matrix and the second interest point matrix, analyzing and processing the interest point set part to obtain corresponding distribution interest points, and then calculating logistics distribution frequency information corresponding to the distribution interest points.

In a possible design of the first aspect, the step of obtaining the area-of-interest range corresponding to the distribution interest point according to the logistics distribution frequency information and the distribution coordinate interval of the logistics distribution path coordinate calculated according to the logistics distribution path coordinate sequence includes:

acquiring an interest undetermined area corresponding to the distribution interest point according to the logistics distribution frequency information and a distribution coordinate interval of a logistics distribution path coordinate calculated according to the logistics distribution path coordinate sequence, wherein the interest undetermined area is obtained by calculating a distribution coordinate interval of the logistics distribution path coordinate related to the distribution interest point and the logistics distribution frequency information of the logistics distribution path coordinate related to the distribution interest point, the larger the logistics distribution frequency is, the larger the area size of the interest undetermined area is, and the area size of the interest undetermined area is obtained based on the distribution coordinate interval of the logistics distribution path coordinate related to the distribution interest point as a reference;

determining the interest confidence of the interest undetermined area corresponding to the distribution interest point according to the number of the logistics distribution path coordinates in the interest undetermined area corresponding to the distribution interest point;

mapping the interest undetermined region according to the interest confidence coefficient to establish a corresponding relation between the interest undetermined region and an interest level;

determining a plurality of coordinate offset parameters of each piece of distribution coordinate record information in the distribution interest point according to the established corresponding relation between the interest undetermined area and the interest level, acquiring an offset average parameter difference value between an offset average parameter of the corresponding coordinate offset parameters of a preset number of pieces of distribution coordinate record information before each piece of distribution coordinate record information and an offset average parameter of the corresponding coordinate offset parameters of a preset number of pieces of distribution coordinate record information after each piece of distribution coordinate record information aiming at each coordinate offset parameter, and processing the offset average parameter difference value to obtain an interest range of each piece of distribution coordinate record information at the coordinate offset parameter so as to obtain an interest range of each piece of distribution coordinate record information;

acquiring an initial interest area range of each piece of distribution coordinate record information under a preset condition according to the interest range of each piece of distribution coordinate record information;

processing the initial interest area range to obtain a plurality of interest mark sub-areas corresponding to a plurality of undetermined interest area ranges, and determining a first interest mark sub-area and a second interest mark sub-area of the plurality of interest mark sub-areas, wherein the first interest mark sub-area comprises a mark area when the interest point of each distribution coordinate record information is confirmed, and the second interest mark sub-area comprises a mark area when the interest point of each distribution coordinate record information is not confirmed;

determining the proportion of the first interest marker sub-region in the interest marker sub-region, determining the interest reliability of the first interest marker sub-region according to the proportion, and dividing the first interest marker sub-region into a plurality of first interest marker divided regions according to the interest reliability;

for each interest marker sub-region, determining an interest identifier of each first interest marker sub-region of each of the interest marker sub-regions currently being processed;

generating an interest display range boundary of each interest identifier according to the interest display range of a plurality of interest marker sub-regions contained in the current interest marker sub-region by each interest identifier;

for each first interest mark divided region, determining whether the currently processed first interest mark divided region contains an interest mark with an interest display range periodically changing according to the interest display range boundary of a plurality of interest marks contained in the currently processed first interest mark divided region;

if the currently processed first interest mark divided area contains an interest identifier with periodically changed interest display range, marking the currently processed first interest mark divided area as a selected first interest mark divided area;

if the currently processed first interest mark divided area does not contain the interest identification with the periodically changed interest display range, marking the currently processed first interest mark divided area as an unselected first interest mark divided area;

aiming at the marked selected multiple first interest mark division areas, combining the first interest mark division areas with the incidence relation into target interest area range node information, determining multiple reference interest identifications with periodically changed interest display ranges in the multiple interest identifications in the target interest area range node information, and determining an interest display range floating interval of each reference interest identification;

screening out at least one interest mark sub-region which accords with a preset reference floating region according to the interest display range floating region of each interest mark sub-region;

combining the at least one interest mark sub-region and the interest mark sub-regions except the at least one interest mark sub-region in the interest mark sub-regions to obtain the interest region range corresponding to the distribution interest point.

In a possible design of the first aspect, the step of fusing, according to a range connectivity condition, interest area ranges of logistics distribution frequency information corresponding to all logistics distribution path coordinates included in each logistics distribution task to obtain a fused interest area range of each logistics distribution task, and generating a hotspot distribution area corresponding to each set time period according to the interest area range of each logistics distribution task in each set time period includes:

calculating the minimum boundary distance difference of each interest area range, fusing the interest area ranges with the minimum boundary distance difference lower than a set threshold value, fusing the interest area ranges with the minimum boundary distance difference lower than the set threshold value according to distribution path connected areas between the interest area ranges to obtain a fused interest area range of each logistics distribution task;

and generating the hotspot distribution areas corresponding to the set time periods according to the interest area range of each logistics distribution task in each set time period.

In a possible design of the first aspect, the step of generating a thermal variation graph of the hot spot distribution area according to the hot spot distribution area corresponding to each set time period, and pushing the thermal variation graph of the hot spot distribution area to a corresponding logistics distribution server includes:

acquiring a hot spot traversal node of the hot spot distribution area in a corresponding set time period, analyzing the hot spot traversal node, and determining hot spot traversal density unit distribution of the hot spot traversal node, wherein the hot spot traversal density unit distribution of the hot spot traversal node comprises a plurality of hot spot traversal density units of different traversal types, and the hot spot traversal density unit is used for representing the number of times the hot spot traversal node is distributed;

using a hot spot traversal density unit with hot spot interaction in the distribution of the hot spot traversal density units of the hot spot traversal nodes as a hot spot traversal density unit to form at least two hot spot traversal density units, wherein the hot spot traversal density unit with hot spot interaction is a hot spot traversal node formed by the hot spot traversal nodes with interaction process in the distribution service;

acquiring at least one piece of hotspot interaction information respectively corresponding to the at least two hotspot traversal density units, and analyzing to obtain a combined relation between distribution receiving business and distribution sending business corresponding to each piece of hotspot interaction information;

taking the combination relation of the distribution receiving business and the distribution sending business corresponding to each hot spot interaction information as a thermal variation rendering strategy, and processing each hot spot traversal density unit according to the thermal variation rendering strategy to form at least one thermal rendering unit;

traversing each piece of hot spot interaction information from a first piece of hot spot interaction information in each piece of hot spot interaction information until all pieces of hot spot interaction information are traversed, wherein in the traversing process of the hot spot interaction information, traversing each thermal rendering unit from a first thermal rendering unit in each thermal rendering unit of the hot spot traversal density unit, selecting a first distribution receiving service from a combination relation corresponding to the hot spot interaction information aiming at the traversed current thermal rendering unit, acquiring a corresponding target distribution sending service, and establishing a corresponding relation among the current thermal rendering unit, the distribution receiving service and the distribution sending service until all the thermal rendering units are traversed; the distribution receiving services corresponding to each thermal rendering unit of the hot spot traversal density unit are different, and the distribution sending services corresponding to each thermal rendering unit of the hot spot traversal density unit are different;

and generating a thermal variation graph of a hot spot distribution area according to the distribution receiving service and the corresponding distribution sending service corresponding to each thermal rendering unit, and pushing the thermal variation graph of the hot spot distribution area to a corresponding logistics distribution service end.

In a second aspect, an embodiment of the present application further provides a logistics distribution hotspot pushing device, which is applied to a server, where the server is in communication connection with a plurality of logistics distribution terminals, and the device includes:

the generating module is used for generating a logistics distribution path coordinate sequence of each logistics distribution task according to a preset path management strategy when the fact that each logistics distribution terminal establishes a logistics distribution task with a logistics receiving terminal of the logistics distribution request task is monitored;

the determining module is used for determining a distribution interest point corresponding to each logistics distribution path coordinate and logistics distribution frequency information corresponding to the distribution interest point according to the logistics distribution path coordinate sequence of each logistics distribution task, and obtaining an interest area range corresponding to the distribution interest point according to the logistics distribution frequency information and a distribution coordinate interval of the logistics distribution path coordinate calculated according to the logistics distribution path coordinate sequence;

the fusion module is used for fusing the interest area ranges of the logistics distribution frequency information corresponding to all the logistics distribution path coordinates contained in each logistics distribution task according to range communication conditions to obtain a fusion interest area range of each logistics distribution task, and generating a hot spot distribution area corresponding to each set time period according to the interest area range of each logistics distribution task in each set time period;

and the pushing module is used for generating a thermal variation graph of the hot spot distribution area according to the hot spot distribution area corresponding to each set time period, and pushing the thermal variation graph of the hot spot distribution area to a corresponding logistics distribution server, so that the logistics distribution server can schedule the logistics distribution request task according to the thermal variation graph of the hot spot distribution area.

In a third aspect, an embodiment of the present application further provides a logistics distribution system, where the logistics distribution system includes a server and a plurality of logistics distribution terminals communicatively connected to the server;

each logistics distribution terminal is used for establishing a logistics distribution task with the logistics receiving terminal of the logistics distribution request task;

the server is used for generating a logistics distribution path coordinate sequence of each logistics distribution task according to a preset path management strategy when monitoring that each logistics distribution terminal establishes a logistics distribution task with a logistics receiving terminal of the logistics distribution request task;

the server is used for determining a distribution interest point corresponding to each logistics distribution path coordinate and logistics distribution frequency information corresponding to the distribution interest point according to the logistics distribution path coordinate sequence of each logistics distribution task, and obtaining an interest area range corresponding to the distribution interest point according to the logistics distribution frequency information and a distribution coordinate interval of the logistics distribution path coordinate calculated according to the logistics distribution path coordinate sequence;

the server is used for fusing the interest area ranges of the logistics distribution frequency information corresponding to all the logistics distribution path coordinates contained in each logistics distribution task according to range communication conditions to obtain a fused interest area range of each logistics distribution task, and generating a hot spot distribution area corresponding to each set time period according to the interest area range of each logistics distribution task in each set time period;

the server is used for generating a hot spot distribution area thermal variation graph according to the hot spot distribution area corresponding to each set time period, and pushing the hot spot distribution area thermal variation graph to the corresponding logistics distribution server, so that the logistics distribution server can schedule the logistics distribution request task according to the hot spot distribution area thermal variation graph.

In a fourth aspect, an embodiment of the present application further provides a server, where the server includes a processor, a machine-readable storage medium, and a network interface, where the machine-readable storage medium, the network interface, and the processor are connected through a bus system, the network interface is configured to be communicatively connected to at least one logistics distribution terminal, the machine-readable storage medium is configured to store a program, an instruction, or a code, and the processor is configured to execute the program, the instruction, or the code in the machine-readable storage medium to perform the logistics distribution hotspot pushing method in the first aspect or any one of the possible designs in the first aspect.

In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed, the computer is caused to execute the logistics distribution hotspot pushing method in the first aspect or any one of the possible designs of the first aspect.

According to any one of the aspects, the hot spot distribution area thermal variation graph can be generated according to the hot spot distribution area corresponding to each set time period and pushed to the related logistics distribution service end, so that the logistics distribution service end can conveniently schedule logistics distribution request tasks according to the hot spot distribution area thermal variation graph, logistics distribution personnel can know the actual situation of each distribution area according to the hot spot distribution area thermal variation graph, further decision making can be carried out, subjective errors of judgment according to own experience are avoided, and distribution efficiency of the logistics distribution personnel is improved to a certain extent.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

Fig. 1 is a schematic application scenario diagram of a logistics distribution system according to an embodiment of the present application;

fig. 2 is a schematic flowchart of a pushing method for a logistics distribution hotspot according to an embodiment of the present application;

fig. 3 is a schematic functional module diagram of a logistics distribution hotspot pushing device according to an embodiment of the present application;

fig. 4 is a schematic block diagram of a structure of a server for implementing the foregoing pushing method for a logistics distribution hotspot according to an embodiment of the present application.

Detailed Description

The present application will now be described in detail with reference to the drawings, and the specific operations in the method embodiments may also be applied to the apparatus embodiments or the system embodiments.

Fig. 1 is an interactive schematic view of a logistics distribution system 10 according to an embodiment of the present application. The logistics distribution system 10 can include a server 100 and a logistics distribution terminal 200 communicatively connected to the server 100 through a network, the logistics distribution system 10 shown in fig. 1 is only one possible example, and in other possible embodiments, the logistics distribution system 10 can also include only a part of the components shown in fig. 1 or can also include other components.

In this embodiment, the logistics distribution terminal 200 may include a mobile device, a tablet computer, a laptop computer, or any combination thereof. In some embodiments, the mobile device may include a smart home device, a wearable device, a smart mobile device, a virtual reality device, an augmented reality device, or the like, or any combination thereof. In some embodiments, the smart home devices may include control devices of smart electrical devices, smart monitoring devices, smart televisions, smart cameras, and the like, or any combination thereof. In some embodiments, the wearable device may include a smart bracelet, a smart lace, smart glass, a smart helmet, a smart watch, a smart garment, a smart backpack, a smart accessory, or the like, or any combination thereof. In some embodiments, the smart mobile device may include a smartphone, a personal digital assistant, a gaming device, and the like, or any combination thereof. In some embodiments, the virtual reality device and/or the augmented reality device may include a virtual reality helmet, virtual reality glass, a virtual reality patch, an augmented reality helmet, augmented reality glass, an augmented reality patch, or the like, or any combination thereof. For example, the virtual reality device and/or augmented reality device may include various virtual reality products and the like.

To solve the technical problem in the foregoing background art, fig. 2 is a schematic flow chart of a logistics distribution hotspot pushing method provided in an embodiment of the present application, and the logistics distribution hotspot pushing method provided in this embodiment may be executed by the server 100 shown in fig. 1, which is described in detail below.

Step S110, when it is monitored that each logistics distribution terminal 200 establishes a logistics distribution task with the logistics receiving terminal of the logistics distribution request task, generating a logistics distribution path coordinate sequence of each logistics distribution task according to a preset path management policy.

Step S120, determining a distribution interest point corresponding to each logistics distribution path coordinate and logistics distribution frequency information corresponding to the distribution interest point according to the logistics distribution path coordinate sequence of each logistics distribution task, and obtaining an interest area range corresponding to the distribution interest point according to the logistics distribution frequency information and a distribution coordinate interval of the logistics distribution path coordinate calculated according to the logistics distribution path coordinate sequence.

Step S130, merging the interest area ranges of the logistics distribution frequency information corresponding to all the logistics distribution path coordinates included in each logistics distribution task according to a range connectivity condition to obtain a merged interest area range of each logistics distribution task, and generating a hotspot distribution area corresponding to each set time period according to the interest area range of each logistics distribution task in each set time period.

Step S140, generating a thermal variation graph of the hot spot distribution area according to the hot spot distribution area corresponding to each set time period, and pushing the thermal variation graph of the hot spot distribution area to a corresponding logistics distribution server, so that the logistics distribution server performs scheduling of the logistics distribution request task according to the thermal variation graph of the hot spot distribution area.

In this embodiment, when receiving the logistics distribution request task distributed by the server 100, the logistics distribution terminal 200 may establish a logistics distribution task with a corresponding logistics receiving terminal. For example, when receiving a logistics distribution request task for distributing the XXX product distributed by the server 100, the logistics distribution terminal 200 of the take-away merchant a may establish a logistics distribution task for the XXX product with the corresponding logistics receiving terminal.

In this embodiment, generally, one logistics distribution task is not only to distribute one logistics requirement but also to distribute a plurality of logistics requirements, so that the logistics distribution path coordinate sequence of each logistics distribution task may be understood as a logistics distribution path coordinate sequence generated by the server 100 according to a related path decision algorithm when each logistics distribution task is established, for example, the logistics distribution path coordinate sequence may be understood as a coordinate sequence formed by paths related to a plurality of logistics requirements that may need to pass through in the process from a starting point to a terminating point, and a specific path decision algorithm is not particularly limited in this embodiment.

Based on the above design, the embodiment can generate the thermal variation graph of the hot spot distribution area according to the hot spot distribution area corresponding to each set time period and push the thermal variation graph to the related logistics distribution service end, so that the logistics distribution service end can schedule the logistics distribution request task according to the thermal variation graph of the hot spot distribution area, and logistics distribution personnel can know the actual situation of each distribution area according to the thermal variation graph of the hot spot distribution area to make a next decision, thereby avoiding subjective errors of judgment according to own experience and improving the distribution efficiency of the logistics distribution personnel to a certain extent.

In a possible design, in step S110, in the process of generating the logistics distribution path coordinate sequence of each logistics distribution task, considering that there may be logistics coordination in the distribution process, that is, there may be situations of getting goods from one place and sending goods from another place, or continuously distributing one kind of logistics goods to multiple places, in order to improve the rationality of the logistics distribution path coordinate sequence and to improve the distribution efficiency of subsequent distribution personnel, this embodiment may obtain the path coordinate generation model and the coordination strategy of the path coordinate generation nodes in the path coordinate generation model from a preset path management strategy, and configure the coordination task type of the path coordinate generation node and the coordination priority matched with the coordination task type of the path coordinate generation node according to the coordination strategy of the path coordinate generation node.

It should be noted that the collaborative task type may be understood as a task type corresponding to the collaborative process, such as a collaborative type of the same goods, a collaborative type of different goods, a collaborative type of the same distribution demander, a collaborative type of different distribution demanders, and the like, and is not specifically limited herein. In addition, the collaborative priority may be understood as a priority distribution level in the collaborative process, and may be specifically set by the logistics platform according to the actual design requirement, which is not limited herein.

On this basis, the present embodiment may determine the task type and the task spatial position corresponding to the subtask according to the subtask node of the logistics distribution task, and determine the coordination coordinate area of each to-be-determined path coordinate in the logistics distribution task according to the target coordination task type where the task type corresponding to the subtask is located and the coordination priority corresponding to the target coordination task type.

And then, starting a coordinate generation process of a task type corresponding to the subtask when the cooperation coordinate area enters the subtask, and taking the cooperation coordinate area as a coordinate generation process until the cooperation coordinate area leaves the coordinate generation process of the task type corresponding to the subtask, sequentially generating positions of the cooperation coordinate area corresponding to the task type corresponding to the subtask to a path coordinate generation model, and comparing the coordinate generation sequence of the position sequences of all the cooperation coordinate areas stored in the coordinate generation process with the preset cooperation strategy of path coordinate generation nodes in the path coordinate generation model.

And if the coordinate generation sequence of the position sequence of the coordinated coordinate area stored in the coordinate generation process is matched with the coordinated strategy, determining the coordinates of the undetermined path corresponding to the coordinated coordinate area as the coordinates of the effective logistics distribution path, and recording the coordinates of the undetermined path into the coordinate sequence of the logistics distribution path to obtain the coordinate sequence of the logistics distribution path consisting of at least one logistics distribution path coordinate.

Further, in a possible design, for step S120, in order to accurately obtain the distribution interest point corresponding to each logistics distribution path coordinate and the logistics distribution frequency information corresponding to the distribution interest point, the present embodiment may determine the coordinate coverage frequency information of each corresponding logistics distribution path coordinate according to the logistics distribution path coordinate sequence of each logistics distribution task, and convert the coordinate coverage frequency information into the frequent feature matrix.

It should be noted that the frequent feature matrix is obtained by calculating, based on the coordinate coverage frequency information of each corresponding logistics distribution path coordinate and a preset frequent correlation coefficient, the preset frequent correlation coefficient is respectively related to the logistics task types of each corresponding logistics distribution path coordinate, different logistics task types are in one-to-one correspondence with different preset frequent correlation coefficients, and specifically, the frequent feature matrix may be set individually in advance according to actual design requirements, which is not limited herein.

On the basis, the corresponding logistics coding map can be constructed according to the frequent feature matrix, and the constructed logistics coding map is classified to obtain a plurality of coding map features.

For example, in one possible example, the logistics distribution code map may include frequency characteristic information corresponding to different logistics distribution route coordinates, and the code map characteristic may be used to represent a characteristic portion formed by the frequency characteristic information of the logistics distribution route coordinate sequence of each same logistics distribution task type.

Then, weighted values of feature vectors of feature parts in the coding map features can be obtained to obtain frequent feature values of the coding map features, and then the coding map features associated with the frequent feature values are screened to generate a corresponding interest point matrix formed by screening combinations of the screened coding map features, so that distribution interest points corresponding to each logistics distribution path coordinate and logistics distribution frequent information corresponding to the distribution interest points can be determined according to the interest point matrix.

In addition, as a possible example, in the process of determining the distribution interest point corresponding to each logistics distribution path coordinate and the logistics distribution frequency information corresponding to the distribution interest point according to the interest point matrix, in this embodiment, the interest point with the largest frequency characteristic and the interest point with the smallest frequency characteristic may be selected from the interest point matrix as the first interest point and the second interest point respectively, and respectively calculating the frequency characteristic offset between each interest point and the first interest point and the second interest point in the interest point matrix, allocating the interest points of which the frequency characteristic offset with the first interest point is less than or equal to the frequency characteristic offset with the second interest point to the first interest point sequence, and allocating the interest points of which the frequency characteristic offset with the first interest point is greater than the frequency characteristic offset with the second interest point to the second interest point sequence. Then, calculating the frequency of all interest points in the first interest point sequence, obtaining the first interest point again, calculating the frequency of all interest points in the second interest point sequence, and obtaining the second interest point again.

Under the above premise, the above steps may be repeated in a loop until the first interest point and the second interest point obtained again are the same as the first interest point and the second interest point obtained again last time, and an interest point in the first interest point sequence corresponding to the finally obtained first interest point and an interest point in the second interest point sequence corresponding to the finally obtained second interest point are obtained.

Therefore, the interest points in the interest point matrix can be divided into a first interest point matrix and a second interest point matrix according to the interest points in the first interest point sequence corresponding to the first interest point obtained finally and the interest points in the second interest point sequence corresponding to the second interest point obtained finally, then the interest point concentrated part of the distribution interest points corresponding to the logistics distribution route coordinates is determined according to the first interest point matrix and the second interest point matrix, the interest point concentrated part is analyzed to obtain the corresponding distribution interest points, and then logistics distribution frequency information corresponding to the distribution interest points is calculated.

In a possible design, still referring to step S120, in order to accurately obtain the region of interest range corresponding to the distribution interest point, the embodiment may obtain the region of interest to be determined corresponding to the distribution interest point according to the logistics distribution frequency information and the distribution coordinate interval of the logistics distribution path coordinate calculated according to the logistics distribution path coordinate sequence.

It is worth to be noted that the area to be determined of interest is obtained by calculating a distribution coordinate interval of a logistics distribution path coordinate related to the distribution interest point and logistics distribution frequency information of the related logistics distribution path coordinate, the larger the logistics distribution frequency is, the larger the area size of the area to be determined of interest is, and the area size of the area to be determined of interest is obtained based on the distribution coordinate interval of the logistics distribution path coordinate related to the distribution interest point as a reference.

On this basis, an interest confidence of the undetermined area corresponding to the delivery interest point may be determined according to the number of the logistics distribution path coordinates in the undetermined area corresponding to the delivery interest point (the interest confidence may be the number of the logistics distribution path coordinates in the undetermined area corresponding to the delivery interest point, or may be obtained by multiplying the number of the logistics distribution path coordinates in the undetermined area corresponding to the delivery interest point by a certain preset fixed coefficient), and then the undetermined area is mapped according to the interest confidence to establish a corresponding relationship between the undetermined area and the interest level, for example, when the interest level corresponding to the interest confidence may be matched, the corresponding relationship between the undetermined area and the interest level is established.

Then, a plurality of coordinate offset parameters of each delivery coordinate record information in the delivery interest points can be determined according to the established corresponding relation between the interest to-be-determined area and the interest level (for example, the interest level can be used as the offset of the plurality of coordinate offset parameters of each delivery coordinate record information), then, aiming at each coordinate offset parameter, obtaining an offset average parameter difference value between the offset average parameter of the corresponding coordinate offset parameter of the preset number of distribution coordinate record information before each distribution coordinate record information and the offset average parameter of the corresponding coordinate offset parameter of the preset number of distribution coordinate record information after each distribution coordinate record information, and processing the offset average parameter difference value, to obtain the interest range of each delivery coordinate record information at the coordinate offset parameter, to obtain the interest range of each delivery coordinate record information.

Therefore, an initial interest area range of each piece of distribution coordinate record information under a preset condition can be obtained according to the interest range of each piece of distribution coordinate record information, then the initial interest area range is processed to obtain a plurality of interest mark sub-areas corresponding to a plurality of undetermined interest area ranges, and a first interest mark sub-area and a second interest mark sub-area of the plurality of interest mark sub-areas are determined.

It should be noted that the first interest mark sub-region includes a mark region when the interest point of each distribution coordinate record information is confirmed, and the second interest mark sub-region includes a mark region when the interest point of each distribution coordinate record information is not confirmed.

Then, the proportion of the first interest marker sub-region in the interest marker sub-region may be determined, the interest reliability of the first interest marker sub-region is determined according to the proportion, the first interest marker sub-region is divided into a plurality of first interest marker divided regions according to the interest reliability, an interest identifier of each first interest marker divided region of each interest marker sub-region in the currently processed interest marker sub-region is determined for each interest marker sub-region, and an interest display range boundary of each interest identifier is generated according to an interest display range of the plurality of interest marker sub-regions included in the currently processed interest marker sub-region by each interest identifier. In addition, further for each first interest mark divided region, according to the interest display range boundaries of the multiple interest marks contained in the currently processed first interest mark divided region, whether the currently processed first interest mark divided region contains the interest marks with periodically changed interest display ranges is determined.

For example, if the currently processed first interest mark divided region includes an interest identifier whose interest display range changes periodically, the currently processed first interest mark divided region is marked as the selected first interest mark divided region.

For another example, if the currently processed first interest marker divided region does not include the interest identifier whose interest display range changes periodically, the currently processed first interest marker divided region is marked as the unselected first interest marker divided region.

Therefore, the marked selected first interest mark division regions can be combined into target interest region range node information, a plurality of reference interest marks with periodically changed interest display ranges in the plurality of interest marks in the target interest region range node information are determined, an interest display range floating interval of each reference interest mark is determined, and at least one interest mark sub-region which is in accordance with the preset reference floating interval is screened out according to the interest display range floating interval of each interest mark sub-region, so that the at least one interest mark sub-region and the interest mark sub-regions except the at least one interest mark sub-region in the plurality of interest mark sub-regions can be combined to obtain an interest region range corresponding to the distribution interest point.

In a possible design, for step S130, the embodiment may calculate the minimum boundary distance difference of each interest area range, fuse the interest area ranges of which the minimum boundary distance difference is lower than a set threshold, fuse the interest area ranges of which the minimum boundary distance difference is not lower than the set threshold according to the distribution path connected areas therebetween, and obtain a fused interest area range of each logistics distribution task, so that the hotspot distribution area corresponding to each set time period may be generated according to the interest area range of each logistics distribution task in each set time period.

In a possible design, in step S140, the embodiment may acquire the hot spot traversal nodes of the hot spot distribution area in the corresponding set time period, analyze the hot spot traversal nodes, and determine the distribution of the hot spot traversal density units of the hot spot traversal nodes.

It should be noted that the distribution of the hot spot traversal density units of the hot spot traversal node includes a plurality of hot spot traversal density units of different traversal types, and the hot spot traversal density units may be used to indicate the number of times the hot spot traversal node is distributed.

Then, the hot spot traversal density unit with the hot spot interaction in the distribution of the hot spot traversal density units of the hot spot traversal nodes can be used as one hot spot traversal density unit to form at least two hot spot traversal density units.

The hot spot traversal density unit with the hot spot interaction may refer to a hot spot traversal node formed by a hot spot traversal node in an interaction process of the distribution service, for example, a hot spot traversal node formed by a hot spot traversal node in an interaction process of continuing to forward goods after goods are taken, that is, the hot spot traversal density unit with the hot spot interaction may be understood.

On the basis, at least one piece of hotspot interaction information corresponding to at least two hotspot traversal density units can be obtained, the combination relationship between the distribution receiving service and the distribution sending service corresponding to each piece of hotspot interaction information is obtained through analysis, then the combination relationship between the distribution receiving service and the distribution sending service corresponding to each piece of hotspot interaction information is used as a thermal variation rendering strategy, each hotspot traversal density unit is processed according to the thermal variation rendering strategy, and at least one thermal rendering unit is formed, so that each piece of hotspot interaction information is traversed from the first hotspot interaction information in each piece of hotspot interaction information until all pieces of hotspot interaction information are traversed.

In a possible implementation manner of this embodiment, in the traversal process of the hotspot interaction information, each thermal rendering unit may be traversed from a first thermal rendering unit in each thermal rendering unit of the hotspot traversal density unit, and for a current traversed thermal rendering unit, a first delivery and receipt service is selected from a combination relationship corresponding to the hotspot interaction information, and a corresponding target delivery and receipt service is obtained, and a corresponding relationship among the current thermal rendering unit, the delivery and receipt service, and the delivery and receipt service is established until all the thermal rendering units are traversed. The distribution receiving services corresponding to each thermal rendering unit of the hot spot traversal density unit are different, and the distribution sending services corresponding to each thermal rendering unit of the hot spot traversal density unit are different.

Therefore, the thermal variation graph of the hot spot distribution area can be generated according to the distribution receiving service and the corresponding distribution sending service corresponding to each thermal rendering unit, and the thermal variation graph of the hot spot distribution area is pushed to the corresponding logistics distribution service end.

Fig. 3 is a schematic functional module diagram of a logistics distribution hot spot pushing apparatus 300 according to an embodiment of the present application, where the logistics distribution hot spot pushing apparatus 300 may be divided into functional modules according to the foregoing method embodiments. For example, the functional blocks may be divided for the respective functions, or two or more functions may be integrated into one processing block. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, the division of the modules in the present application is schematic, and is only a logical function division, and there may be another division manner in actual implementation. For example, in the case of dividing each function module according to each function, the logistics distribution hotspot pushing device 300 shown in fig. 3 is only a schematic device. The logistics distribution hotspot pushing device 300 may include a generating module 310, a determining module 320, a merging module 330, and a pushing module 340, and the functions of the functional modules of the logistics distribution hotspot pushing device 300 are described in detail below.

A generating module 310, configured to generate a logistics distribution path coordinate sequence of each logistics distribution task according to a preset path management policy when it is monitored that each logistics distribution terminal 200 establishes a logistics distribution task with a logistics receiving terminal of a logistics distribution request task.

The determining module 320 is configured to determine, according to the logistics distribution path coordinate sequence of each logistics distribution task, a distribution interest point corresponding to each logistics distribution path coordinate and logistics distribution frequency information corresponding to the distribution interest point, and obtain, according to the logistics distribution frequency information and a distribution coordinate interval of the logistics distribution path coordinate calculated according to the logistics distribution path coordinate sequence, an interest area range corresponding to the distribution interest point.

The fusion module 330 is configured to fuse, according to a range connectivity condition, the interest area ranges of the logistics distribution frequency information corresponding to all the logistics distribution path coordinates included in each logistics distribution task to obtain a fusion interest area range of each logistics distribution task, and generate a hot spot distribution area corresponding to each set time period according to the interest area range of each logistics distribution task in each set time period.

The pushing module 340 is configured to generate a thermal variation graph of the hot spot distribution area according to the hot spot distribution area corresponding to each set time period, and push the thermal variation graph of the hot spot distribution area to the corresponding logistics distribution server, so that the logistics distribution server performs scheduling of the logistics distribution request task according to the thermal variation graph of the hot spot distribution area.

Further, fig. 4 is a schematic structural diagram of a server 100 for performing the logistics distribution hotspot pushing method according to an embodiment of the present application. As shown in FIG. 4, the server 100 may include a network interface 110, a machine-readable storage medium 120, a processor 130, and a bus 140. The processor 130 may be one or more, and one processor 130 is illustrated in fig. 4 as an example. The network interface 110, the machine-readable storage medium 120, and the processor 130 may be connected by a bus 140 or otherwise, as exemplified by the connection by the bus 140 in fig. 4.

The machine-readable storage medium 120 is a computer-readable storage medium, and can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the logistics distribution hotspot pushing method in the embodiment of the present application (for example, the generation module 310, the determination module 320, the fusion module 330, and the pushing module 340 of the logistics distribution hotspot pushing device 300 shown in fig. 3). The processor 130 executes various functional applications and data processing of the terminal device by detecting the software program, instructions and modules stored in the machine-readable storage medium 120, that is, the above-mentioned logistics distribution hotspot pushing method is implemented, and details are not described here.

The machine-readable storage medium 120 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like.

The processor 130 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method embodiments may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 130.

The server 100 may perform information interaction with other devices (e.g., the logistics distribution terminal 200) through the network interface 110. Network interface 110 may be a circuit, bus, transceiver, or any other device that may be used to exchange information. Processor 130 may send and receive information using network interface 110.

In the above embodiments, the implementation may be wholly or partially implemented by software, hardware, firmware, or any pair thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device.

Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various changes and modifications may be made in the embodiments of the present application without departing from the spirit and scope of the application. Thus, to the extent that such expressions and modifications of the embodiments of the application fall within the scope of the claims and their equivalents, the application is intended to embrace such alterations and modifications.

Claims

1. A logistics distribution hotspot pushing method is applied to a server, wherein the server is in communication connection with a plurality of logistics distribution terminals, and the method comprises the following steps:

generating a thermal variation graph of a hot spot distribution area according to the hot spot distribution area corresponding to each set time period, and pushing the thermal variation graph of the hot spot distribution area to a corresponding logistics distribution service end, so that the logistics distribution service end can schedule the logistics distribution request task according to the thermal variation graph of the hot spot distribution area;

the step of generating the logistics distribution path coordinate sequence of each logistics distribution task by using the preset path management strategy comprises the following steps:

if the coordinate generation sequence of the position sequence of the coordinated coordinate area stored in the coordinate generation process matches the coordinated strategy, determining the undetermined path coordinate corresponding to the coordinated coordinate area as an effective logistics distribution path coordinate, and recording the undetermined path coordinate into the logistics distribution path coordinate sequence to obtain a logistics distribution path coordinate sequence consisting of at least one logistics distribution path coordinate;

the cooperative task type is a task type corresponding to the cooperative process, the task type includes a cooperative type of the same cargo, a cooperative type of different cargos, a cooperative type of the same distribution demander, and a cooperative type of different distribution demanders, the cooperative priority is a priority distribution level in the cooperative process, and the priority distribution level is set by the logistics platform.

2. The logistics distribution hotspot pushing method of claim 1, wherein the step of determining the distribution interest point corresponding to each logistics distribution path coordinate and the logistics distribution frequency information corresponding to the distribution interest point according to the logistics distribution path coordinate sequence of each logistics distribution task comprises:

3. The logistics distribution hotspot pushing method of claim 1, wherein the step of determining the distribution interest point corresponding to each logistics distribution path coordinate and the logistics distribution frequency information corresponding to the distribution interest point according to the interest point matrix comprises:

4. The logistics distribution hotspot pushing method according to claim 1, wherein the step of obtaining the area-of-interest range corresponding to the distribution interest point according to the logistics distribution frequency information and the distribution coordinate interval of the logistics distribution path coordinate calculated according to the logistics distribution path coordinate sequence comprises:

5. The logistics distribution hotspot pushing method of claim 1, wherein the step of fusing the interest area ranges of the logistics distribution frequency information corresponding to all the logistics distribution path coordinates included in each logistics distribution task according to a range connectivity condition to obtain a fused interest area range of each logistics distribution task, and generating the hotspot distribution area corresponding to each set time period according to the interest area range of each logistics distribution task in each set time period comprises:

6. The logistics distribution hotspot pushing method of claim 1, wherein the step of generating a hotspot distribution area thermal variation graph according to the hotspot distribution area corresponding to each set time period and pushing the hotspot distribution area thermal variation graph to the corresponding logistics distribution service end comprises:

7. A logistics distribution system is characterized by comprising a server and a plurality of logistics distribution terminals which are in communication connection with the server;

the server is used for generating a hot spot distribution area thermal variation graph according to the hot spot distribution area corresponding to each set time period and pushing the hot spot distribution area thermal variation graph to the corresponding logistics distribution server, so that the logistics distribution server can schedule the logistics distribution request task according to the hot spot distribution area thermal variation graph;

the method for generating the logistics distribution path coordinate sequence of each logistics distribution task by the server according to the preset path management strategy comprises the following steps: