CN112101866A - Logistics scheduling system based on GIS and intelligent algorithm - Google Patents
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Abstract
The invention belongs to the technical field of logistics distribution, and particularly relates to a logistics scheduling system based on a GIS (geographic information system) and an intelligent algorithm, which comprises: the system comprises a positioning module, a GIS module, a dispatching center, a distribution node, a vehicle center, a receiving node, a vehicle positioning module, a road condition module and logistics vehicles. This logistics scheduling system based on GIS and intelligent algorithm, not only can be at the optimal delivery route of automatic planning, reduce the vehicle oil consumption, reduce cost, and can dispatch the vehicle automatically when the delivery vehicle is not enough, avoid delaying the delivery, and can real time monitoring road conditions, plan unobstructed route for the vehicle, improve logistics distribution efficiency, and can acquire the concrete position of logistics vehicle in real time, convenience of customers looks over, simultaneously in the route that can the vehicle travel, whether lose with the article on the fixed distance inspection logistics vehicle, and in time inform the dispatch center and supply, prevent to lead to the delivery time overlength because of the article loss.
Description
Technical Field
The invention relates to the technical field of logistics distribution, in particular to a logistics scheduling system based on a GIS and an intelligent algorithm.
Background
With the development of social economy, logistics transportation is also developing continuously, and logistics refers to a process of organically combining functions of transportation, storage, loading, unloading, transportation, packaging, circulation processing, distribution, information processing and the like to meet user requirements according to actual needs in the process of physical flow of articles from a supply place to a receiving place.
The logistics at the present stage comprises logistics management, and the logistics management specifically comprises planning, organizing, commanding, coordinating, controlling and supervising logistics activities according to the flowing rule of material data entities and by applying the basic principle and scientific method of management, so that the logistics activities are optimally coordinated and matched.
However, the existing logistics management system often cannot plan an optimal distribution route, and needs to wait for a long time when the distribution vehicles are insufficient, and the vehicles often encounter traffic jam in the distribution process, so that the distribution efficiency is not high.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above and/or other problems occurring in the conventional logistics scheduling system.
Therefore, the invention aims to provide a logistics scheduling system based on a GIS and an intelligent algorithm, which can automatically plan an optimal distribution route, reduce vehicle oil consumption and reduce cost, can automatically dispatch vehicles when the distribution vehicles are insufficient, avoid delay of distribution, monitor road conditions in real time, plan smooth routes for the vehicles, improve logistics distribution efficiency, acquire specific positions of the logistics vehicles in real time, facilitate checking of users, check whether articles on the logistics vehicles are lost at a fixed distance in the routes where the vehicles run, and timely inform a scheduling center of replenishment, so that overlong distribution time caused by article loss is prevented.
To solve the above technical problem, according to an aspect of the present invention, the present invention provides the following technical solutions:
a logistics scheduling system based on GIS and intelligent algorithm comprises: the system comprises a positioning module, a GIS module, a dispatching center, a distribution node, a vehicle center, a receiving node, a vehicle positioning module, a road condition module and logistics vehicles, wherein the positioning module is in signal connection with the GIS module, the GIS module is electrically connected with the dispatching center, the dispatching center is in signal connection with the distribution node, the dispatching center is in signal connection with the vehicle center, the vehicle positioning module and the road condition module are in signal connection with the dispatching center, and the dispatching center is in signal connection with the logistics vehicles;
s1: sending the geographic information statistics of the distribution node and the receiving node to a GIS module through a positioning module;
s2: the geographic information is processed and analyzed by a GIS module and then is sent to a dispatching center;
s3: the dispatching center determines an optimal distribution path according to the geographical information of the distribution nodes and the receiving nodes and sends the path information to the distribution nodes;
s4: the distribution node receives the information of the dispatching center, labels and loads the goods locally;
s5: and the distribution node sends the goods to the receiving node through the logistics vehicle in a distribution path to complete logistics distribution.
As a preferable scheme of the logistics scheduling system based on the GIS and the intelligent algorithm, the logistics scheduling system comprises the following steps: in the step S4, when the cargo is too much and the loading amount is not enough, the distribution node confirms the required loading amount and sends the loading amount to the dispatching center, the dispatching center sends information to the vehicle center according to the loading amount, and the vehicle center assigns the corresponding vehicle to the distribution node to distribute the cargo.
As a preferable scheme of the logistics scheduling system based on the GIS and the intelligent algorithm, the logistics scheduling system comprises the following steps: in the step S5, in the process of delivery, the vehicle positioning module sends the position information of the vehicle to the dispatching center in real time, the road condition module sends the real-time road condition of the delivery path to the dispatching center, and the dispatching center plans a new route for the vehicle according to the real-time road condition and the position of the vehicle.
As a preferable scheme of the logistics scheduling system based on the GIS and the intelligent algorithm, the logistics scheduling system comprises the following steps: the outside of vehicle orientation module is provided with the framework, install a plurality of springs on the inner wall of framework, it is a plurality of the one end of spring is connected with six shock attenuation boards respectively, six be provided with vehicle orientation module in the space that the shock attenuation board formed, the fixed block is all installed to first one of the both sides outer wall of framework.
As a preferable scheme of the logistics scheduling system based on the GIS and the intelligent algorithm, the logistics scheduling system comprises the following steps: in step S5, the logistics vehicle checks the number of the goods when passing through the check node, and sends the check result to the dispatch center.
Compared with the prior art: the geographic information statistics of the distribution nodes and the receiving nodes is sent to a GIS module through a positioning module, the geographic information is sent to a dispatching center after being processed and analyzed through the GIS module, the dispatching center determines an optimal distribution path according to the geographic information of the distribution nodes and the receiving nodes and sends the path information to the distribution nodes, the distribution nodes receive the information of the dispatching center and mark and load the goods locally, when the goods are too much and the loading amount is not enough, the distribution nodes confirm the required loading amount and send the loading amount to the dispatching center, the dispatching center sends the information to a vehicle center according to the loading amount, the vehicle center additionally sends the corresponding vehicle to the distribution nodes, the distribution nodes send the goods to the receiving nodes through the distribution path, and in the distribution process, the vehicle positioning module sends the position information of the vehicle to the dispatching center in real time, the logistics dispatching system based on the GIS and the intelligent algorithm not only can automatically plan an optimal dispatching route, reduce the oil consumption of the vehicle and reduce the cost, but also can automatically dispatch the vehicle when the dispatching vehicle is insufficient, avoid delaying the dispatching, monitor the road condition in real time, plan a smooth route for the vehicle, improve the logistics dispatching efficiency, acquire the specific position of the logistics vehicle in real time, facilitate the checking of a user, and check whether the objects on the logistics vehicle are lost or not at a fixed distance in the running route of the vehicle, and timely inform the dispatching center to supplement, so as to prevent the delivery time from being overlong due to the loss of articles.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the present invention will be described in detail with reference to the accompanying drawings and detailed embodiments, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise. Wherein:
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a flow chart of the dispatch of the present invention;
FIG. 3 is a block diagram of a vehicle positioning module of the present invention.
In the figure: 100 positioning modules, 200GIS modules, 300 dispatching centers, 310 inspection nodes, 400 distribution nodes, 500 vehicle centers, 600 receiving nodes, 700 vehicle positioning modules, 710 frame bodies, 720 springs, 730 shock absorption plates, 740 fixing blocks, 800 road condition modules and 900 logistics vehicles.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described herein, and it will be apparent to those of ordinary skill in the art that the present invention may be practiced without departing from the spirit and scope of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The invention provides a logistics scheduling system based on GIS and intelligent algorithm, which can automatically plan an optimal distribution route, reduce vehicle oil consumption and reduce cost, can automatically distribute vehicles when the distribution vehicles are insufficient, avoid delayed distribution, monitor road conditions in real time, plan a smooth route for the vehicles, improve logistics distribution efficiency, acquire the specific positions of the logistics vehicles in real time, facilitate checking of users, check whether articles on the logistics vehicles are lost at a fixed distance in the running route of the vehicles, timely inform a scheduling center to supplement, prevent overlong distribution time caused by article loss, and please refer to fig. 1, fig. 2 and fig. 3, wherein the logistics scheduling system comprises: the system comprises a positioning module 100, a GIS module 200, a dispatching center 300, a distribution node 400, a vehicle center 500, a receiving node 600, a vehicle positioning module 700, a road condition module 800 and a logistics vehicle 900;
referring to fig. 1, 2 and 3 again, the positioning module 100 is in signal connection with a GIS module 200, the GIS module 200 is in electrical connection with a dispatching center 300, the dispatching center 300 is in signal connection with a distribution node 400, the dispatching center 300 is in signal connection with a vehicle center 500, the vehicle positioning module 700 and the road condition module 800 are in signal connection with a dispatching center 300, the dispatching center 300 is in signal connection with a logistics vehicle 900, specifically, the positioning module 100 is in signal output connection with a GIS module 200, the GIS module 200 is in electrical output connection with a dispatching center 300, the dispatching center 300 is in signal output connection with a distribution node 400, the dispatching center 300 is in signal output connection with a vehicle center 500, the vehicle positioning module 700 and the road condition module 800 are in signal output connection with a dispatching center 300, and the dispatching center 300 is in signal output connection with a, the positioning module 100 is used for sending the position information of the distribution node 400 and the receiving node 600, the GIS module 200 is used for analyzing and processing the position information, the dispatching center 300 is used for receiving the information and sending control instructions and information, the distribution node 400 is used for providing a distribution function, the vehicle center 500 is used for additionally distributing distribution vehicles, the receiving node 600 is used for receiving goods, the vehicle positioning module 700 is used for sending vehicle information, the road condition module 800 is used for sending road condition information, and the logistics vehicles 900 are used for distributing goods; :
s1: the geographic information statistics of the delivery node 400 and the receiving node 600 are sent to the GIS module 200 through the positioning module 100;
s2: the geographic information is processed and analyzed by the GIS module 200 and then is sent to the dispatching center 300;
s3: the dispatching center 300 determines an optimal distribution path according to the geographical information of the distribution nodes 400 and the receiving nodes 600, and sends the path information to the distribution nodes 400;
s4: the distribution node 400 receives the information of the dispatching center 300, and labels and loads the goods locally;
s5: the distribution node 400 sends the goods to the receiving node 600 through the logistics vehicle 900 in a distribution path, and completes the logistics distribution.
Referring to fig. 1 and 2 again, when the goods are too many and the loading amount is insufficient in step S4, the distribution node 400 confirms the required loading amount and sends the loading amount to the dispatching center 300, the dispatching center 300 sends information to the vehicle center 500 according to the loading amount, and the vehicle center 500 assigns the corresponding vehicle to the distribution node 400, so as to distribute the goods.
Referring to fig. 1 and 2 again, in the step S5, in the process of delivery, the vehicle positioning module 700 sends the position information of the vehicle to the dispatching center 300 in real time, the road condition module 800 sends the real-time road condition of the delivery path to the dispatching center 300, and the dispatching center 300 plans a new route for the vehicle according to the real-time road condition and the position of the vehicle.
Referring to fig. 3 again, a frame 710 is disposed outside the vehicle positioning module, twenty springs 720 are mounted on an inner wall of the frame 710, one end of each of the twenty springs 720 is connected to each of six shock absorbing plates 730, a vehicle positioning module is disposed in a space formed by the six shock absorbing plates 730, a fixing block 740 is mounted on the upper half portion of the outer wall of each of two sides of the frame 710, specifically, the frame 710 is disposed outside the vehicle positioning module, the twenty springs 720 are welded on the inner wall of the frame 710, the six shock absorbing plates 730 are welded on each of one end of each of the twenty springs 720, the vehicle positioning module is disposed in a space formed by the six shock absorbing plates 730, the fixing blocks 740 are welded on the upper half portion of the outer wall of each of two sides of the frame 710, the frame 710 is used for accommodating and protecting the vehicle positioning module, and the springs 720 are used, the shock-absorbing plate 730 serves to provide a shock-absorbing function, and the fixing block 740 serves to connect the vehicle body and the frame body 710.
Referring to fig. 1 again, in the step S5, the logistics vehicle 900 checks the quantity of the goods when passing through the check node 310, and sends the check result to the dispatch center 300, and the check node 310 is used to detect whether the goods are lost and report to the dispatch center 300.
During specific work, the positioning module 100 statistically sends the geographic information of the delivery node 400 and the receiving node 600 to the GIS module 200, the GIS module 200 processes and analyzes the geographic information and then sends the geographic information to the dispatching center 300, the dispatching center 300 determines an optimal delivery path according to the geographic information of the delivery node 400 and the receiving node 600 and sends the path information to the delivery node 400, the delivery node 400 receives the information of the dispatching center 300 and labels and loads the goods locally, when the goods are too much and the loading amount is insufficient, the delivery node 400 confirms the required loading amount and sends the loading amount to the dispatching center 300, the dispatching center 300 sends the information to the vehicle center 500 according to the loading amount, the vehicle center 500 additionally sends the corresponding vehicle to the delivery node 400, the delivery node 400 sends the goods to the receiving node 600 through the delivery path, and during delivery, the vehicle positioning module 700 sends the position information of the vehicle to the dispatching center 300 in real time, the road condition module 800 sends the real-time road condition of the distribution path to the dispatching center 300, the dispatching center 300 plans a new route for the vehicle according to the real-time road condition and the position of the vehicle, completes logistics distribution, and in the logistics distribution process, further checks the vehicle articles when passing through the check node 310, finds the lost articles in time, and reports the lost articles to the dispatching center 300.
While the invention has been described above with reference to an embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the various features of the disclosed embodiments of the invention may be used in any combination, provided that no structural conflict exists, and the combinations are not exhaustively described in this specification merely for the sake of brevity and resource conservation. Therefore, it is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (5)
1. A logistics scheduling system based on GIS and intelligent algorithm is characterized by comprising: the system comprises a positioning module (100), a GIS module (200), a dispatching center (300), a delivery node (400), a vehicle center (500), a receiving node (600), a vehicle positioning module (700), a road condition module (800) and logistics vehicles (900), wherein the positioning module (100) is in signal connection with the GIS module (200), the GIS module (200) is electrically connected with the dispatching center (300), the dispatching center (300) is in signal connection with the delivery node (400), the dispatching center (300) is in signal connection with the vehicle center (500), the vehicle positioning module (700) and the road condition module (800) are in signal connection with the dispatching center (300), the dispatching center (300) is in signal connection with the logistics vehicles (900), and the dispatching center is in signal connection with an inspection node (310);
s1: sending the geographic information statistics of the delivery node (400) and the receiving node (600) to a GIS module (200) through a positioning module (100);
s2: the geographic information is processed and analyzed by a GIS module (200) and then is sent to a dispatching center (300);
s3: the dispatching center (300) determines an optimal distribution path according to the geographical information of the distribution node (400) and the receiving node (600), and sends the path information to the distribution node (400);
s4: the distribution node (400) receives the information of the dispatching center (300), labels and loads goods locally;
s5: the distribution node (400) sends the goods to the receiving node (600) through the logistics vehicle (900) in a distribution path to complete logistics distribution.
2. The logistics scheduling system based on GIS and intelligent algorithm as claimed in claim 1, wherein in step S4, when the cargo is too much and the loading capacity is not enough, the distribution node (400) confirms the required loading capacity and sends the loading capacity to the scheduling center (300), the scheduling center (300) sends information to the vehicle center (500) according to the loading capacity, and the vehicle center (500) assigns the corresponding vehicle to the distribution node (400) so as to distribute the cargo.
3. The logistics scheduling system based on GIS and intelligent algorithm as claimed in claim 1, wherein in the step S5, in the process of delivery, the vehicle positioning module (700) sends the position information of the vehicle to the scheduling center (300) in real time, the road condition module (800) sends the real-time road condition of the delivery path to the scheduling center (300), and the scheduling center (300) plans a new route for the vehicle according to the real-time road condition and the vehicle position.
4. The logistics scheduling system based on GIS and intelligent algorithm as claimed in claim 1, wherein a frame body (710) is arranged outside the vehicle positioning module, a plurality of springs (720) are installed on the inner wall of the frame body (710), one ends of the plurality of springs (720) are respectively connected with six damping plates (730), the vehicle positioning module is arranged in a space formed by the six damping plates (730), and fixing blocks (740) are installed on the upper half parts of the outer walls of two sides of the frame body (710).
5. The GIS and intelligent algorithm based logistics scheduling system of claim 1, wherein in step S5, the logistics vehicle (900) checks the cargo quantity when passing through the check node (310), and sends the check result to the scheduling center (300).
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| CN103473659A (en) * | 2013-08-27 | 2013-12-25 | 西北工业大学 | Dynamic optimal distribution method for logistics tasks based on distribution vehicle end real-time state information drive |
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| CN211223260U (en) * | 2019-11-06 | 2020-08-11 | 江苏广图信息技术有限公司 | High positioning accuracy vehicle-mounted Beidou terminal |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103473659A (en) * | 2013-08-27 | 2013-12-25 | 西北工业大学 | Dynamic optimal distribution method for logistics tasks based on distribution vehicle end real-time state information drive |
| KR20150067506A (en) * | 2013-12-10 | 2015-06-18 | 주식회사 스파이더 | Mobile services using the delivery control system |
| CN108764754A (en) * | 2018-06-08 | 2018-11-06 | 浪潮软件股份有限公司 | A kind of tobacco distribution vehicle dispatch system based on geographic area grouping |
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