CN113689017A - Logistics transportation management system - Google Patents
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- CN113689017A CN113689017A CN202010419979.1A CN202010419979A CN113689017A CN 113689017 A CN113689017 A CN 113689017A CN 202010419979 A CN202010419979 A CN 202010419979A CN 113689017 A CN113689017 A CN 113689017A
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- 238000012546 transfer Methods 0.000 claims description 21
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Abstract
The invention provides a logistics transportation management system, which relates to the field of logistics transportation management and comprises a logistics transportation system, a cloud server and a client; the logistics transportation system comprises a logistics information acquisition module, an order management module, a positioning management module and a path management module; the order management module is used for carrying out normalization processing on logistics order information, establishing BP neural network prediction to obtain an optimal transportation path, and splitting the optimal transportation path into a plurality of transportation sub-paths; the path management module is used for establishing BP neural network prediction according to the change destination address to obtain an optimal transportation change path and dividing the optimal transportation change path into a plurality of transportation change sub-paths. The system can inquire the accurate position of article transportation in real time, can conveniently and quickly change the destination address through the client in the logistics transportation process, and can carry out intelligent route planning based on the changed destination address and real-time positioning data, thereby realizing intelligent logistics transportation management.
Description
Technical Field
The invention relates to the field of logistics transportation management, in particular to a logistics transportation management system.
Background
The logistics transportation management means that in the social production process, according to the law of material data entity flow, the basic principle and scientific method of management are applied to plan, organize, command, coordinate, control and supervise logistics activities, so that each logistics activity is optimally coordinated and matched, the logistics cost is reduced, and the logistics efficiency and economic benefit are improved. Modern logistics transportation management is based on a system theory, an information theory and a control theory. However, in the transportation process of the conventional logistics transportation management system, if the route is changed, the scheduling cannot be performed in time, and transportation delay is easily caused; meanwhile, the user only obtains approximate position information of article transportation, and in the logistics transportation process, if the order and the destination are changed, the user cannot conveniently and quickly change the destination, and cannot carry out intelligent route planning based on the changed destination.
Disclosure of Invention
In view of the above drawbacks of the prior art, an object of the present invention is to provide a logistics transportation management system, wherein a user can query precise location information of article transportation in real time, and can change a destination address through a client conveniently and quickly during the logistics transportation, and the system can perform intelligent route planning based on the changed destination address and real-time location data, so as to achieve intelligent logistics transportation management.
The invention provides a logistics transportation management system, which comprises a logistics transportation system, a cloud server and a client, wherein the cloud server is respectively connected with the logistics transportation system and the client through a network;
the logistics information acquisition module is used for acquiring logistics order information and modifying authority setting information;
the order management module is used for carrying out normalization processing on logistics order information, establishing BP neural network prediction to obtain an optimal transportation path, and splitting the optimal transportation path into a plurality of transportation sub-paths;
the positioning management module is used for acquiring real-time positioning information of logistics transportation;
the path management module is used for establishing BP neural network prediction according to the change destination address to obtain an optimal transportation change path and dividing the optimal transportation change path into a plurality of transportation change sub-paths.
In an embodiment of the present invention, the client includes an order information collecting module and an order changing module;
the order information acquisition module is used for acquiring logistics order information and modifying authority setting information;
the order changing module is used for collecting and changing destination addresses and recipient information and monitoring real-time positioning information of logistics transportation.
In an embodiment of the present invention, the logistics order information includes a sending time, a sending address, a sending quantity, a destination address, sender information, and recipient information of the article.
In an embodiment of the present invention, the order information collecting module has a work flow of:
(1) inputting article sending information, sending time, sending addresses, sending quantity, destination addresses, sender information, receiver information and modification permission setting information through an information interaction interface;
(2) and uploading the article sending information, sending time, sending addresses, sending quantity, destination addresses, sender information, recipient information and modification permission setting information to a cloud server for storage.
In an embodiment of the present invention, the order change module has a workflow as follows:
(1) inputting the changed destination address and the receiver information through an information interaction interface;
(2) and uploading the destination address and the recipient information to a cloud server for storage.
In an embodiment of the present invention, the order management module has a workflow as follows:
(1) normalizing the logistics order information, and acquiring all transportation transfer station addresses, transfer station destination addresses, transportation starting time and transportation time consumption which are stored in a cloud server in advance;
(2) generating a plurality of transportation paths according to the current mailing address and the destination address, performing BP neural network prediction by combining the transportation transfer station address, the transfer station destination address, the transportation starting time and the transportation time consumption, selecting and generating an optimal transportation route, and splitting the optimal transportation path into a plurality of transportation sub-paths based on the transportation transfer station.
In an embodiment of the present invention, the path management module has a workflow as follows:
(1) acquiring a change destination address stored in a cloud server and article transportation real-time positioning information acquired by a positioning management module;
(2) generating a plurality of transportation paths according to the current real-time positioning information and the destination address, carrying out BP neural network prediction by combining the transportation transfer station, the destination address of the transfer station, the transportation starting time and the transportation time consumption, selecting and generating the optimal transportation change path, and splitting the optimal transportation change path into a plurality of transportation change sub-paths.
In an embodiment of the present invention, the article transportation real-time positioning information is obtained by GPS positioning.
As described above, the logistics transportation management system of the present invention has the following beneficial effects: the user can inquire the accurate positional information of article transportation in real time to in the logistics transportation process, can be convenient, change the destination address fast through the customer end, and the system can carry out intelligent route planning based on change destination address and real-time location data, realizes wisdom logistics transportation management.
Drawings
Fig. 1 is a system block diagram of the logistics transportation management system disclosed in the embodiment of the invention.
Fig. 2 is a flowchart illustrating the operation of the order information collection module disclosed in the embodiment of the present invention.
FIG. 3 is a flowchart illustrating the operation of the order modification module disclosed in the embodiment of the present invention.
FIG. 4 is a flowchart illustrating the operation of the order management module disclosed in the embodiment of the present invention.
Fig. 5 is a flowchart illustrating the operation of the path management module disclosed in the embodiment of the present invention.
Fig. 6 is a flowchart illustrating the operation of the logistics transportation management system disclosed in the embodiment of the invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Referring to fig. 1, the present invention provides a logistics transportation management system, including a logistics transportation system, a cloud server and a client, where the cloud server is respectively connected to the logistics transportation system and the client via a network, and the logistics transportation system includes a logistics information collection module, an order management module, a location management module, and a path management module;
the logistics information acquisition module is used for acquiring logistics order information and modifying authority setting information;
the order management module is used for carrying out normalization processing on logistics order information, establishing BP neural network prediction to obtain an optimal transportation path, and splitting the optimal transportation path into a plurality of transportation sub-paths;
the positioning management module is used for acquiring logistics transportation real-time positioning information, wherein the article transportation real-time positioning information is acquired through GPS positioning;
the path management module is used for establishing BP neural network prediction according to the change destination address to obtain an optimal transportation change path and dividing the optimal transportation change path into a plurality of transportation change sub-paths.
The client comprises an order information acquisition module and an order change module;
the order information acquisition module is used for acquiring logistics order information and modifying authority setting information;
the order changing module is used for collecting and changing destination addresses and recipient information and monitoring real-time positioning information of logistics transportation.
The logistics order information comprises the sending time, the sending address, the sending quantity, the destination address, the sender information and the receiver information of the article.
Referring to fig. 2, the order information collection module has a work flow of:
(1) inputting article sending information, sending time, sending addresses, sending quantity, destination addresses, sender information, receiver information and modification permission setting information through an information interaction interface;
(2) and uploading the article sending information, sending time, sending addresses, sending quantity, destination addresses, sender information, recipient information and modification permission setting information to a cloud server for storage.
Referring to fig. 3, the order modification module has a workflow:
(1) inputting the changed destination address and the receiver information through an information interaction interface;
(2) and uploading the destination address and the recipient information to a cloud server for storage.
Referring to fig. 4, the order management module has a work flow of:
(1) normalizing the logistics order information, and acquiring all transportation transfer station addresses, transfer station destination addresses, transportation starting time and transportation time consumption which are stored in a cloud server in advance;
(2) generating a plurality of transportation paths according to the current mailing address and the destination address, performing BP neural network prediction by combining the transportation transfer station address, the transfer station destination address, the transportation starting time and the transportation time consumption, selecting and generating an optimal transportation route, and splitting the optimal transportation path into a plurality of transportation sub-paths based on the transportation transfer station.
Referring to fig. 5, the path management module has a work flow:
(1) acquiring a change destination address stored in a cloud server and article transportation real-time positioning information acquired by a positioning management module;
(2) generating a plurality of transportation paths according to the current real-time positioning information and the destination address, carrying out BP neural network prediction by combining the transportation transfer station, the destination address of the transfer station, the transportation starting time and the transportation time consumption, selecting and generating the optimal transportation change path, and splitting the optimal transportation change path into a plurality of transportation change sub-paths.
Referring to fig. 6, the operation principle of the logistics transportation management system is as follows:
(1) a user fills in a sending time, a sending address, a sending number, a destination address, sender information and receiver information through a client, and uploads logistics order information to a cloud server after a logistics order is generated;
(2) generating an optimal transportation path through a logistics transportation system, splitting the optimal transportation path into a plurality of transportation sub-paths and uploading the transportation sub-paths to a cloud server;
(3) a user checks the transportation path and the GPS positioning information through a client, fills in the changed destination address and the receiver information through the client when the destination address needs to be changed, checks the optimal transportation changed path based on the current GPS positioning information, and realizes modification and query of the logistics transportation path.
In summary, in the invention, the user can inquire the accurate position information of the article transportation in real time, the destination address can be changed conveniently and rapidly through the client in the logistics transportation process, and the system can perform intelligent route planning based on the changed destination address and the real-time positioning data, thereby realizing intelligent logistics transportation management. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (8)
1. A logistics transportation management system is characterized in that: the system comprises a logistics transportation system, a cloud server and a client, wherein the cloud server is respectively connected with the logistics transportation system and the client through a network, and the logistics transportation system comprises a logistics information acquisition module, an order management module, a positioning management module and a path management module;
the logistics information acquisition module is used for acquiring logistics order information and modifying authority setting information;
the order management module is used for carrying out normalization processing on logistics order information, establishing BP neural network prediction to obtain an optimal transportation path, and splitting the optimal transportation path into a plurality of transportation sub-paths;
the positioning management module is used for acquiring real-time positioning information of logistics transportation;
the path management module is used for establishing BP neural network prediction according to the change destination address to obtain an optimal transportation change path and dividing the optimal transportation change path into a plurality of transportation change sub-paths.
2. The logistics transportation management system of claim 1, wherein: the client comprises an order information acquisition module and an order change module;
the order information acquisition module is used for acquiring logistics order information and modifying authority setting information;
the order changing module is used for collecting and changing destination addresses and recipient information and monitoring real-time positioning information of logistics transportation.
3. The logistics transportation management system of claim 1, wherein: the logistics order information comprises the sending time, sending address, sending quantity, destination address, sender information and receiver information of the article.
4. The logistics transportation management system of claim 3, wherein the order information collection module comprises the following workflow:
(1) inputting article sending information, sending time, sending addresses, sending quantity, destination addresses, sender information, receiver information and modification permission setting information through an information interaction interface;
(2) and uploading the article sending information, sending time, sending addresses, sending quantity, destination addresses, sender information, recipient information and modification permission setting information to a cloud server for storage.
5. The logistics transportation management system of claim 3, wherein the order change module workflow is:
(1) inputting the changed destination address and the receiver information through an information interaction interface;
(2) and uploading the destination address and the recipient information to a cloud server for storage.
6. The logistics transportation management system of claim 3, wherein the order management module workflow is:
(1) normalizing the logistics order information, and acquiring all transportation transfer station addresses, transfer station destination addresses, transportation starting time and transportation time consumption which are stored in a cloud server in advance;
(2) generating a plurality of transportation paths according to the current mailing address and the destination address, performing BP neural network prediction by combining the transportation transfer station address, the transfer station destination address, the transportation starting time and the transportation time consumption, selecting and generating an optimal transportation route, and splitting the optimal transportation path into a plurality of transportation sub-paths based on the transportation transfer station.
7. The logistics transportation management system of claim 6, wherein the path management module workflow is:
(1) acquiring a change destination address stored in a cloud server and article transportation real-time positioning information acquired by a positioning management module;
(2) generating a plurality of transportation paths according to the current real-time positioning information and the destination address, carrying out BP neural network prediction by combining the transportation transfer station, the destination address of the transfer station, the transportation starting time and the transportation time consumption, selecting and generating the optimal transportation change path, and splitting the optimal transportation change path into a plurality of transportation change sub-paths.
8. The logistics transportation management system of claim 1, wherein: the real-time positioning information of the article transportation is obtained through GPS positioning.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010419979.1A CN113689017A (en) | 2020-05-18 | 2020-05-18 | Logistics transportation management system |
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| CN202010419979.1A CN113689017A (en) | 2020-05-18 | 2020-05-18 | Logistics transportation management system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117371893A (en) * | 2023-10-09 | 2024-01-09 | 杭州正马软件科技有限公司 | System and method for automatically changing e-commerce order address |
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- 2020-05-18 CN CN202010419979.1A patent/CN113689017A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117371893A (en) * | 2023-10-09 | 2024-01-09 | 杭州正马软件科技有限公司 | System and method for automatically changing e-commerce order address |
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Application publication date: 20211123 |