CN113256203B - Commodity transportation system based on Internet of things - Google Patents
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Abstract
The utility model relates to a commodity transportation system based on thing networking includes: the commodity order receiving module is used for receiving a commodity order of the user terminal and acquiring road construction information and road congestion information of a distribution area according to a distribution address and a delivery address in the commodity order; the partition module is used for calculating a partition initial value of each calculation center by taking a distribution address with distribution frequency of each distribution address in a distribution area reaching a preset frequency as a calculation center and a preset radius as a calculation radius based on the road construction information and the road congestion information, and if the partition initial value is smaller than a preset partition threshold, enlarging the preset radius until the partition initial value is larger than or equal to the preset partition threshold, and determining the distribution area corresponding to the calculation radius as a distribution partition corresponding to the distribution area; the vehicle configuration module is used for determining a target distribution subarea of each target commodity according to each distribution subarea and determining loading information of the target commodity in the transport vehicle according to road congestion information of the target distribution subarea.
Description
Technical Field
The utility model relates to a thing networking technology field specifically relates to a commodity transportation system based on thing networking.
Background
The transportation of the goods comprises the dispatching of the goods from the delivery center to the delivery site, and then the user can scan the code to pick up the goods from the delivery site. The modern comprehensive transportation system realizes the logistics regulation intelligence, discovery intelligence, innovation intelligence and system intelligence.
The existing commodity logistics are loaded according to the fact that the receiving address of the commodity needing to be dispatched is close to or far from the dispatching site information in the dispatching process, however the dispatching amount in different regions is different, vehicle resources and driver resources are possibly wasted due to the fact that transportation vehicles are increased, if the dispatching overstock occurs, the user cannot receive the commodity within the expected time, the waiting time of the user is too long, and the problems that the reasonability of the commodity dispatching is poor and the dispatching efficiency is low exist in the existing logistics dispatching
Disclosure of Invention
The utility model aims to provide a commodity transportation system based on thing networking to solve the problem that the rationality of cargo delivery is poor and delivery efficiency is low among the correlation technique.
In order to achieve the above object, an embodiment of the present disclosure provides a commodity transportation system based on the internet of things, where the system includes: the system comprises a commodity order receiving module, a partitioning module, a vehicle configuration module and a transport vehicle;
the commodity order receiving module is used for receiving a plurality of commodity orders of the user terminal and acquiring road construction information and road congestion information of a distribution area according to a distribution address of each target commodity in the commodity orders and a delivery address of the target commodity;
the partitioning module is configured to calculate, based on the road building information and the road congestion information, a partitioning initial value of each calculation center by using a distribution address, where a distribution frequency of each distribution address in the distribution area reaches a preset frequency, as a calculation center and a preset radius as a calculation radius, where the partitioning initial value is positively correlated with a road width and a road number in the road building information, the partitioning initial value is positively correlated with a congestion value in the road congestion information, and when the partitioning initial value is smaller than a preset partitioning threshold, the preset radius is expanded until the partitioning initial value is greater than or equal to the preset partitioning threshold, and a distribution area corresponding to the calculation radius is determined as a distribution partition corresponding to the distribution area;
the vehicle configuration module is used for determining a target distribution subarea of each target commodity according to each distribution subarea, determining loading information of the target commodity in the transport vehicle according to the road congestion information corresponding to each target distribution subarea, wherein the loading information comprises loading time information and departure time information, so that a worker can load the target commodity according to the loading time information, and transport each target commodity to a corresponding distribution address according to the departure time information.
Preferably, the expanding the preset radius until the partition initial value is greater than or equal to a preset partition threshold in the case that the partition initial value is smaller than the preset partition threshold includes:
under the condition that the partition initial value is smaller than a preset partition threshold value, determining whether an adjacent computing center of which the partition initial value is smaller than the preset partition threshold value exists in the computing center;
in the case that the adjacent computing center with the partition initial value smaller than the preset partition threshold exists in the computing center, combining the computing center and the adjacent computing center to compute the partition initial value until the partition initial value is larger than or equal to the preset partition threshold.
Preferably, the partitioning module is further configured to, in a case that the adjacent computing center with the partitioning initial value smaller than the preset partitioning threshold does not exist in the computing center, determine, according to the road building information, a relevance value of the two computing centers with the partitioning initial values smaller than the preset partitioning threshold, where the relevance value is negatively related to a distance between the computing centers in the road building information and positively related to a number of roads between the computing centers in the road building information;
selecting three maximum relevance values according to the relevance values, wherein the three maximum relevance values are respectively a maximum relevance value corresponding to a transport driving route and road congestion, a maximum relevance value corresponding to the target commodity storage condition and a maximum relevance value of a geometric center coordinate corresponding to the two calculation centers;
and under the condition that the vector sum of the three maximum relevance values is positive, determining the calculation center of which the initial values of the two partitions are smaller than the preset partition threshold value as a distribution partition.
Through the technical scheme, the following technical effects can be at least achieved:
the commodity order receiving module is used for receiving a commodity order of the user terminal and acquiring road construction information and road congestion information of a distribution area according to a distribution address and a delivery address in the commodity order; the partition module is used for calculating a partition initial value of each calculation center by taking a distribution address with distribution frequency of each distribution address in a distribution area reaching a preset frequency as a calculation center and a preset radius as a calculation radius based on the road construction information and the road congestion information, and if the partition initial value is smaller than a preset partition threshold, enlarging the preset radius until the partition initial value is larger than or equal to the preset partition threshold, and determining the distribution area corresponding to the calculation radius as a distribution partition corresponding to the distribution area; the vehicle configuration module is used for determining a target distribution subarea of each target commodity according to each distribution subarea and determining loading information of the target commodity in a transport vehicle according to road congestion information of the target distribution subarea. Therefore, based on the distribution subareas, the distribution time is saved, the rationality and the distribution efficiency of cargo distribution are improved, and the satisfaction degree of the cargo distribution is improved.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
fig. 1 is a block diagram illustrating an internet of things-based commodity transportation system according to an example.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
In view of the fact that an embodiment of the present invention provides an internet of things-based commodity transportation system, fig. 1 is a block diagram of an internet of things-based commodity transportation system according to an example, where the internet of things-based commodity transportation system 100 includes: a commodity order receiving module 110, a partition module 120, a vehicle configuration module 130, a transportation vehicle 140 and a user terminal 150;
the commodity order receiving module 110 is configured to receive a plurality of commodity orders of the user terminal 150, and obtain road construction information and road congestion information of a distribution area according to a distribution address of each target commodity in the plurality of commodity orders and a delivery address of the target commodity;
the partitioning module 120 is configured to calculate, based on the road building information and the road congestion information, a partitioning initial value of each calculation center by using a distribution address, as a calculation center, where a distribution frequency of each distribution address in the distribution area reaches a preset frequency, as a calculation radius, where the partitioning initial value is positively correlated with a road width and a road number in the road building information, and the partitioning initial value is positively correlated with a congestion value in the road congestion information, and when the partitioning initial value is smaller than a preset partitioning threshold value, the preset radius is expanded until the partitioning initial value is greater than or equal to the preset partitioning threshold value, and a distribution area corresponding to the calculation radius is determined as a distribution partition corresponding to the distribution area;
the vehicle configuration module 130 is configured to determine a target distribution partition of each target commodity according to each distribution partition, determine loading information of the target commodity on the transportation vehicle 140 according to the road congestion information corresponding to each target distribution partition, where the loading information includes loading time information and departure time information, so that a worker can load the target commodity according to the loading time information, and transport each target commodity to a corresponding distribution address according to the departure time information.
In specific implementation, the commodity order receiving module 110 is connected to the partition module 120, the partition module 120 is connected to the vehicle configuration module 130, the commodity order receiving module 110, the partition module 120, and the vehicle configuration module 130 are disposed in a server, and the server is in communication connection with the transportation vehicle 140 and the user terminal 150.
Specifically, the goods order receiving module 110 is communicatively connected with the user terminal 150 through a base station, and the vehicle configuration module 130 is communicatively connected with the transportation vehicle 140 through a base station.
Preferably, the expanding the preset radius until the partition initial value is greater than or equal to a preset partition threshold in the case that the partition initial value is smaller than the preset partition threshold includes:
under the condition that the partition initial value is smaller than a preset partition threshold value, determining whether an adjacent computing center of which the partition initial value is smaller than the preset partition threshold value exists in the computing center;
in the case that the adjacent computing center with the partition initial value smaller than the preset partition threshold exists in the computing center, combining the computing center and the adjacent computing center to compute the partition initial value until the partition initial value is larger than or equal to the preset partition threshold.
Preferably, the partitioning module is further configured to, in a case that the adjacent computing center with the partitioning initial value smaller than the preset partitioning threshold does not exist in the computing center, determine, according to the road building information, a relevance value of the two computing centers with the partitioning initial values smaller than the preset partitioning threshold, where the relevance value is negatively related to a distance between the computing centers in the road building information and positively related to a number of roads between the computing centers in the road building information;
selecting three maximum relevance values according to the relevance values, wherein the three maximum relevance values are respectively a maximum relevance value corresponding to a transport driving route and road congestion, a maximum relevance value corresponding to the target commodity storage condition and a maximum relevance value of a geometric center coordinate corresponding to the two calculation centers;
and under the condition that the vector sum of the three maximum association values is positive, determining the calculation center of the two initial values of the partitions, which is smaller than the preset partition threshold value, as a distribution partition.
The commodity order receiving module is used for receiving a commodity order of the user terminal and acquiring road construction information and road congestion information of a distribution area according to a distribution address and a delivery address in the commodity order; the partition module is used for calculating a partition initial value of each calculation center by taking a distribution address with distribution frequency of each distribution address in a distribution area reaching a preset frequency as a calculation center and a preset radius as a calculation radius based on the road construction information and the road congestion information, and if the partition initial value is smaller than a preset partition threshold, enlarging the preset radius until the partition initial value is larger than or equal to the preset partition threshold, and determining the distribution area corresponding to the calculation radius as a distribution partition corresponding to the distribution area; the vehicle configuration module is used for determining a target distribution subarea of each target commodity according to each distribution subarea and determining loading information of the target commodity in the transport vehicle according to road congestion information of the target distribution subarea. Therefore, based on the distribution subareas, the distribution time is saved, the rationality and the distribution efficiency of cargo distribution are improved, and the satisfaction degree of the cargo distribution is improved.
In one implementation manner, the determining the loading information of the target commodity according to the road congestion information corresponding to each target distribution partition includes:
and acquiring distance information between the user terminal and the distribution address, determining that the transportation priority of the target commodity is lower under the condition that the distance information represents that a receiver of the target commodity cannot pick up the target commodity in the coming time within the working time, and determining the loading information of the target commodity according to the transportation priority and the distribution time information of the road congestion information, the distribution address and the distribution address corresponding to each target distribution partition.
Therefore, under the condition that the receiver of the target commodity cannot get the target commodity before in the working time, other target commodities can be preferentially delivered, and the problem that the delivery personnel can not get the target commodity when delivering the target commodity to the delivery address and delay the delivery of other target commodities is avoided.
Moreover, it should be noted that, for convenience and brevity of description, all the embodiments described in the specification belong to the preferred embodiments, and the related parts are not necessarily essential to the present invention, for example, the first parameter determining module and the second parameter determining module may be the same executing module to execute the steps of the method in the specific implementation, and the disclosure is not limited thereto.
The preferred embodiments of the present disclosure are described in detail above with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details in the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that, in the above embodiments, the various features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various possible combinations will not be further described in the present disclosure.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (3)
1. A commodity transportation system based on the internet of things, the system comprising: the system comprises a commodity order receiving module, a partitioning module, a vehicle configuration module and a transport vehicle;
the commodity order receiving module is used for receiving a plurality of commodity orders of the user terminal and acquiring road construction information and road congestion information of a distribution area according to a distribution address of each target commodity in the commodity orders and a delivery address of the target commodity;
the partitioning module is configured to calculate, based on the road building information and the road congestion information, a partitioning initial value of each calculation center by using a distribution address, where a distribution frequency of each distribution address in the distribution area reaches a preset frequency, as a calculation center and a preset radius as a calculation radius, where the partitioning initial value is positively correlated with a road width and a road number in the road building information, and the partitioning initial value is negatively correlated with a congestion value in the road congestion information, and when the partitioning initial value is smaller than a preset partitioning threshold, the preset radius is expanded until the partitioning initial value is greater than or equal to the preset partitioning threshold, and a distribution area corresponding to the calculation radius is determined as a distribution partition corresponding to the distribution area;
the vehicle configuration module is used for determining a target distribution subarea of each target commodity according to each distribution subarea, determining loading information of the target commodity in the transport vehicle according to the road congestion information corresponding to each target distribution subarea, wherein the loading information comprises loading time information and departure time information, so that a worker can load the target commodity according to the loading time information, and transport each target commodity to a corresponding distribution address according to the departure time information.
2. The system according to claim 1, wherein the expanding the preset radius until the partition initial value is equal to or greater than a preset partition threshold value in the case that the partition initial value is less than the preset partition threshold value comprises:
determining whether the computing center has an adjacent computing center of which the partition initial value is smaller than a preset partition threshold value or not when the partition initial value is smaller than the preset partition threshold value;
in the case that the adjacent computing center with the partition initial value smaller than the preset partition threshold exists in the computing center, combining the computing center and the adjacent computing center to compute the partition initial value until the partition initial value is larger than or equal to the preset partition threshold.
3. The system of claim 2, wherein the partitioning module is further configured to determine, according to the road construction information, a relevance value of two calculation centers with the partitioning initial values smaller than the preset partitioning threshold value, in a case where the adjacent calculation centers with the partitioning initial values smaller than the preset partitioning threshold value do not exist in the calculation centers, wherein the relevance value is negatively correlated with a distance between the calculation centers in the road construction information and positively correlated with a number of roads between the calculation centers in the road construction information;
selecting three maximum relevance values according to the relevance values, wherein the three maximum relevance values are respectively a maximum relevance value corresponding to a transport driving route and road congestion, a maximum relevance value corresponding to the target commodity storage condition and a maximum relevance value of a geometric center coordinate corresponding to two calculation centers;
and under the condition that the vector sum of the three maximum relevance values is positive, determining the calculation center of which the initial values of the two partitions are smaller than the preset partition threshold value as a distribution partition.
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Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104751733A (en) * | 2013-12-25 | 2015-07-01 | 携程计算机技术(上海)有限公司 | Region drawing method, region drawing device, path distance classifying method and path distance classifying system for maps |
CN106156898A (en) * | 2016-08-23 | 2016-11-23 | 吕建正 | A kind of commodity distribution paths planning method based on MoCD algorithm |
CN108242203A (en) * | 2016-12-23 | 2018-07-03 | 中兴通讯股份有限公司 | A kind of region partitioning method and device |
US10126138B1 (en) * | 2017-05-10 | 2018-11-13 | Lyft, Inc. | Dynamic geolocation optimization of pickup paths using curb segment data |
CN108932598A (en) * | 2018-05-31 | 2018-12-04 | 广东工业大学 | A kind of grand scale logistic allocator based on cloud platform |
CN109377145A (en) * | 2018-12-18 | 2019-02-22 | 赖玲玲 | A kind of commodity intelligent distribution management system |
CN109583799A (en) * | 2017-09-28 | 2019-04-05 | 北京三快在线科技有限公司 | The method and device of region division, electronic equipment |
CN109658038A (en) * | 2019-02-27 | 2019-04-19 | 邯郸学院 | Express delivery article allocator, device and terminal device |
CN111523716A (en) * | 2020-04-15 | 2020-08-11 | 北京三快在线科技有限公司 | Order information processing method, system, server and storage medium |
CN112488636A (en) * | 2020-12-18 | 2021-03-12 | 浪潮软件股份有限公司 | Balanced scheduling method for logistics distribution tasks |
-
2021
- 2021-05-14 CN CN202110528192.3A patent/CN113256203B/en active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104751733A (en) * | 2013-12-25 | 2015-07-01 | 携程计算机技术(上海)有限公司 | Region drawing method, region drawing device, path distance classifying method and path distance classifying system for maps |
CN106156898A (en) * | 2016-08-23 | 2016-11-23 | 吕建正 | A kind of commodity distribution paths planning method based on MoCD algorithm |
CN108242203A (en) * | 2016-12-23 | 2018-07-03 | 中兴通讯股份有限公司 | A kind of region partitioning method and device |
US10126138B1 (en) * | 2017-05-10 | 2018-11-13 | Lyft, Inc. | Dynamic geolocation optimization of pickup paths using curb segment data |
CN109583799A (en) * | 2017-09-28 | 2019-04-05 | 北京三快在线科技有限公司 | The method and device of region division, electronic equipment |
CN108932598A (en) * | 2018-05-31 | 2018-12-04 | 广东工业大学 | A kind of grand scale logistic allocator based on cloud platform |
CN109377145A (en) * | 2018-12-18 | 2019-02-22 | 赖玲玲 | A kind of commodity intelligent distribution management system |
CN109658038A (en) * | 2019-02-27 | 2019-04-19 | 邯郸学院 | Express delivery article allocator, device and terminal device |
CN111523716A (en) * | 2020-04-15 | 2020-08-11 | 北京三快在线科技有限公司 | Order information processing method, system, server and storage medium |
CN112488636A (en) * | 2020-12-18 | 2021-03-12 | 浪潮软件股份有限公司 | Balanced scheduling method for logistics distribution tasks |
Non-Patent Citations (2)
Title |
---|
基于Ncut的城市路网交通子区划分方法;刘端阳等;《浙江工业大学学报》;20190614(第04期);全文 * |
多配送中心下生鲜农产品同步取送选址-路径优化;李冰等;《智能***学报》;20200131(第01期);全文 * |
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