CN109472391B - A kind of logistics information monitoring management system based on big data - Google Patents
A kind of logistics information monitoring management system based on big data Download PDFInfo
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- CN109472391B CN109472391B CN201811099241.0A CN201811099241A CN109472391B CN 109472391 B CN109472391 B CN 109472391B CN 201811099241 A CN201811099241 A CN 201811099241A CN 109472391 B CN109472391 B CN 109472391B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0833—Tracking
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0835—Relationships between shipper or supplier and carriers
- G06Q10/08355—Routing methods
Abstract
The present invention discloses a kind of logistics information monitoring management system based on big data, including region division and statistical module, placing an order obtains module, logistics data library, cargo scan statistics module, management server and client terminal；It places an order and obtains module and region division is connect with statistical module, management server is connect with region division with statistical module, logistics data library, cargo scan statistics module and client terminal respectively.The present invention passes through cargo scan statistics module, placing an order obtains module and combine management server, it is shortest most short to screen routing information, reduce path transportation range, and count total time of the cargo from current destination to destination, it is transported by shortest path and shows the time from current logistics node to destination, the position and transport the time reached that cargo is currently located is well understood convenient for purchase personnel, reduce the waiting time, the efficiency of logistics information monitoring is improved, and improves the accuracy of goods delivery arrival and the satisfaction of purchase personnel.
Description
Technical field
The invention belongs to logistic Monitoring and managing technical fields, are related to a kind of logistics information monitoring management based on big data
System.
Background technique
With the current Express Logistics trading volume rapid development in China, the service ability and level of delivery industry have become the people
One social focus of raw growing interest, the range that opens up service, prolong a liter service depth, increase service kind, applicating technology means,
Treatment effeciency is improved, the Main way that error rate develops at present at China's delivery industry is reduced.
Logistics type is more various currently on the market, and logistics arrives at the destination transported path respectively not phase from place of departure
Together, fraction of stream company causes the product of purchase from delivery to used in destination to transport jointly with the logistics in other paths
Overlong time, the efficiency of the express transportation seriously affected causes the satisfaction of client low, cannot achieve the height of logistics transportation
Efficiency, the haulage time between shortening purchase product from place of departure to destination, and cargo can not be carried out in the process of transport real
When monitor, lead to not in time understand cargo transport position and it is expected that reach time.
Summary of the invention
The purpose of the present invention is to provide the logistics information monitoring management system based on big data, solve cargo and transporting
In defeated process, there are conevying efficiency difference and can not grasp in real time the current position of cargo and it is expected that reach matter of time,
Greatly reduce the satisfaction of client.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of logistics information monitoring management system based on big data, including region division and statistical module, place an order acquisition
Module, logistics data library, cargo scan statistics module, management server and client terminal；It places an order and obtains module and region division
Connect with statistical module, management server respectively with region division and statistical module, logistics data library, cargo scan statistics module
It is connected with client terminal；
It places an order and obtains module for receiving the order information sent with client terminal, received order information is sent to pipe
Server is managed, and received seller's place of departure is sent to region division module；
Client terminal obtains module to placing an order for sending order information, and it is current to receive management server shipment
Logistics node and from current logistics node reach dispatching destination time and shown；
Region division and statistical module, which are used to receive to place an order, obtains seller's place of departure of module transmission, is with seller's place of departure
Center simultaneously forms delivery region by radius of distance R, and delivery region is divided into that several areas are identical and annular interconnected
Region reaches the sequence of the distance of seller's place of departure from the near to the remote according to each arc area, successively annular region is numbered,
Respectively 1,2 ..., k count the distance of the logistics node in each annular region to seller's place of departure, and filter out each
Logistics node reaches the shortest logistics node of distance of seller's place of departure and goods delivery destination is sent to management server；
Logistics data library includes for arriving the routing informations on different dispatching ground, the routing information with storing different seller's goods
Cargo issues the distance between the dot number and neighbour node that ground is passed through to cargo destination, issues ground arrival from cargo
Sequence from the near to the remote of the site that object destination is passed through according to each site apart from logistics departure place is numbered, and respectively 1,
2,3 ..., j ..., m, and each routing information is ranked up from less to more according to the dot number for including in each path, successively
It is 1,2 ..., i ..., n；
Cargo scan statistics module is located at each place of departure and each logistics node, is respectively delivered for scan statistics
Ground, sweep time point and each logistics node logistics number of packages and extract the dispatching destination of each logistics, by the logistics part of scanning
The corresponding dispatching destination of several and each logistics is sent to management server；
Management server receiving area divides the shortest logistics of distance of seller's place of departure at a distance from statistical module transmission
Site and goods delivery destination, management server are matched according to the shortest logistics node of distance apart from seller's place of departure, logistics
It send the seller's place of departure stored in destination and logistics data library and logistics distribution destination to filter out from cargo and issues ground arrival
All routing informations of object destination establish path dispatching set A to the routing information of screeningi(ai1,ai2,...,
aij,...,aiM), ai1 to be expressed as i-th of routing information corresponding apart from the shortest logistics node of the distance of seller's place of departure,
aiJ is expressed as corresponding j-th of the dot location of i-th of routing information, aiM is expressed as the mesh of the corresponding cargo of i-th of routing information
Ground, different path dispenses set AiCorresponding different dispatching distance set Bi(bi1,bi2,...,bij,...,biM), bi1 table
Be shown as cargo under i-th of routing information issue distance apart from seller's place of departure apart from shortest logistics node, biJ is expressed as
- 1 dot location of jth is at a distance from j-th of dot location under i-th of routing information, biM is expressed as under i-th of routing information
The dispatching destination of cargo between a upper site at a distance from, count the total distance of each Distribution pathSiIt is expressed as
Total dispatching distance under i-th of routing information；
Management server filters out the shortest path number of total distance of each Distribution path, and carries out according to the Distribution path
Logistics transportation during logistics transportation, receives the logistics number of packages for each logistics node scanning that cargo scan statistics module is sent,
The logistics number of packages of each logistics node scanning is counted, logistics number of packages is constituted and scans set Ci(ci1,ci2,...,cij,...,
ciF), CiIt is expressed as the logistics number of packages set that each site under i-th of routing information need to be scanned, ci1 is expressed as i-th of routing information
The logistics number of packages of scanning needed for the shortest logistics node of the lower distance apart from cargo place of departure, ciJ is expressed as i-th of routing information
The logistics number of packages that lower j-th of site need to be scanned, ciF is expressed as the logistics part that f-th of site need to be scanned under i-th of routing information
Number, and f+1=m；
Management server scans set C according to logistics number of packagesiAnd the corresponding dispatching destination of each logistics, filter out the fortune
Logistics reaches the dot number that goods delivery destination is passed through from dot location is currently located under defeated path, and counts cargo and exist
The total time of the estimated consumption in each site passed through, the management server logistics net that cargo is current are arrived at the destination under the path
Point and cargo are reached from the logistics node is respectively sent to client terminal needed for dispatching destination total time.
Further, the order information includes seller's title, seller's place of departure, the quantity of goods of client's purchase, single-piece
Goods weight, single good volume, dispatching destination, addressee's name and contact method.
Further, cargo arrives at the destination the total time of the estimated consumption in each site passed throughTgiIt is expressed as under i-th of path cargo and reaches goods delivery destination from g-th of site
It is expected that required time, ciJ is expressed as the logistics number of packages that j-th of site need to be scanned under i-th of routing information, biJ is expressed as i-th
- 1 dot location of jth is at a distance from j-th of dot location under a routing information,It is expressed as disappearing for one cargo of mean scan
The time of consumption,It is expressed as the average travelling speed of logistics vehicles.
Beneficial effects of the present invention:
Logistics information monitoring management system provided by the invention based on big data passes through region division module and statistics mould
Block can be filtered out effectively apart from cargo place of departure apart from shortest logistics node, by cargo scan statistics module, be placed an order
It obtains module and combines management server, between cargo from same place of departure to the shortest sieve in path same dispatching destination
Choosing reduces path transportation range, and the real-time statistics cargo accumulated time from current destination to destination during transportation, presses
The time from current logistics node to destination is transported and counted according to shortest path and is shown, it is clear convenient for purchase personnel
Understand to Chu the position and transport the time reached that cargo is currently located, reduce the waiting time, improves logistics information monitoring
Efficiency, and improve goods delivery arrival accuracy and purchase personnel satisfaction.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will be described below to embodiment required
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of schematic diagram of the logistics information monitoring management system based on big data in the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
Refering to Figure 1, a kind of logistics information monitoring management system based on big data, including region division and statistics
Module, placing an order obtains module, logistics data library, cargo scan statistics module, management server and client terminal；It places an order and obtains mould
Block and region division are connect with statistical module, management server respectively with region division and statistical module, logistics data library, cargo
Scan statistics module is connected with client terminal；
It places an order and obtains module for receiving the order information sent with client terminal, received order information is sent to pipe
Server is managed, and received seller's place of departure is sent to region division module, the order information includes seller's title, seller
Place of departure, the quantity of goods of client's purchase, Individual shipment weights, single good volume, dispatching destination, addressee's name and connection
It is mode etc.；
Client terminal obtains module to placing an order for sending order information, and it is current to receive management server shipment
Logistics node and from current logistics node reach dispatching destination time and shown；
Region division and statistical module, which are used to receive to place an order, obtains seller's place of departure of module transmission, is with seller's place of departure
Center simultaneously forms delivery region by radius of distance R, and delivery region is divided into that several areas are identical and annular interconnected
Region reaches the sequence of the distance of seller's place of departure from the near to the remote according to each arc area, successively annular region is numbered,
Respectively 1,2 ..., k count the distance of the logistics node in each annular region to seller's place of departure, and filter out each
Logistics node reaches the shortest logistics node of distance of seller's place of departure and goods delivery destination is sent to management server；
Logistics data library includes for arriving the routing informations on different dispatching ground, the routing information with storing different seller's goods
Cargo issues the distance between the dot number and neighbour node that ground is passed through to cargo destination, issues ground arrival from cargo
Sequence from the near to the remote of the site that object destination is passed through according to each site apart from logistics departure place is numbered, and respectively 1,
2,3 ..., j ..., m, and each routing information is ranked up from less to more according to the dot number for including in each path, successively
It is 1,2 ..., i ..., n；
Cargo scan statistics module is located at each place of departure and each logistics node, is respectively delivered for scan statistics
Ground, sweep time point and each logistics node logistics number of packages and extract the dispatching destination of each logistics, by the logistics part of scanning
The corresponding dispatching destination of several and each logistics is sent to management server；
Management server receiving area divides the shortest logistics of distance of seller's place of departure at a distance from statistical module transmission
Site and goods delivery destination, management server are matched according to the shortest logistics node of distance apart from seller's place of departure, logistics
It send the seller's place of departure stored in destination and logistics data library and logistics distribution destination to filter out from cargo and issues ground arrival
All routing informations of object destination establish path dispatching set A to the routing information of screeningi(ai1,ai2,...,
aij,...,aiM), ai1 to be expressed as i-th of routing information corresponding apart from the shortest logistics node of the distance of seller's place of departure,
aiJ is expressed as corresponding j-th of the dot location of i-th of routing information, aiM is expressed as the mesh of the corresponding cargo of i-th of routing information
Ground, different path dispenses set AiCorresponding different dispatching distance set Bi(bi1,bi2,...,bij,...,biM), bi1 table
Be shown as cargo under i-th of routing information issue distance apart from seller's place of departure apart from shortest logistics node, biJ is expressed as
- 1 dot location of jth is at a distance from j-th of dot location under i-th of routing information, biM is expressed as under i-th of routing information
The dispatching destination of cargo between a upper site at a distance from, count the total distance of each Distribution pathSiIt is expressed as
Total dispatching distance under i-th of routing information；
Management server filters out the shortest path number of total distance of each Distribution path, and carries out according to the Distribution path
Logistics transportation during logistics transportation, receives the logistics number of packages for each logistics node scanning that cargo scan statistics module is sent,
The logistics number of packages of each logistics node scanning is counted, logistics number of packages is constituted and scans set Ci(ci1,ci2,...,cij,...,
ciF), CiIt is expressed as the logistics number of packages set that each site under i-th of routing information need to be scanned, ci1 is expressed as i-th of routing information
The logistics number of packages of scanning needed for the shortest logistics node of the lower distance apart from cargo place of departure, ciJ is expressed as i-th of routing information
The logistics number of packages that lower j-th of site need to be scanned, ciF is expressed as the logistics part that f-th of site need to be scanned under i-th of routing information
Number, and f+1=m；
Management server scans set C according to logistics number of packagesiAnd the corresponding dispatching destination of each logistics, filter out the fortune
Logistics reaches the dot number that goods delivery destination is passed through from dot location is currently located under defeated path, and counts cargo and exist
The total time of the estimated consumption in each site passed through is arrived at the destination under pathWherein, Tgi
It is expressed as cargo under i-th of path and reaches goods delivery destination estimated required time, c from g-th of siteiJ is expressed as i-th
The logistics number of packages that j-th of site need to be scanned under a routing information, biJ is expressed as -1 dot location of jth under i-th of routing information
At a distance from j-th of dot location,It is expressed as the time of the consumption of one cargo of mean scan,It is expressed as logistics vehicles
The current logistics node of cargo and cargo are reached dispatching destination from the logistics node by average travelling speed, management server
Be respectively sent to client terminal required total time, cargo buy the logistics current destination that personnel are shown by client terminal and
It reaches from the logistics node and is shown total time needed for dispatching destination, implement to grasp cargo transport letter convenient for purchase personnel
Breath, improves the accuracy for being dispensed into the time.
Logistics information monitoring management system provided by the invention based on big data passes through region division module and statistics mould
Block can be filtered out effectively apart from cargo place of departure apart from shortest logistics node, by cargo scan statistics module, be placed an order
It obtains module and combines management server, between cargo from same place of departure to the shortest sieve in path same dispatching destination
Choosing reduces path transportation range, and the real-time statistics cargo accumulated time from current destination to destination during transportation, presses
The time from current logistics node to destination is transported and counted according to shortest path and is shown, it is clear convenient for purchase personnel
Understand to Chu the position and transport the time reached that cargo is currently located, reduce the waiting time, improves logistics information monitoring
The efficiency of management, and improve the accuracy of goods delivery arrival and the satisfaction of purchase personnel.
The above content is just an example and description of the concept of the present invention, affiliated those skilled in the art
It makes various modifications or additions to the described embodiments or is substituted in a similar manner, without departing from invention
Design or beyond the scope defined by this claim, be within the scope of protection of the invention.
Claims (3)
1. a kind of logistics information monitoring management system based on big data, it is characterised in that: including region division and statistical module,
It places an order and obtains module, logistics data library, cargo scan statistics module, management server and client terminal；Place an order obtain module and
Region division is connect with statistical module, and management server is scanned with region division and statistical module, logistics data library, cargo respectively
Statistical module is connected with client terminal；
It places an order and obtains module for receiving the order information sent with client terminal, received order information is sent to management clothes
Business device, and received seller's place of departure is sent to region division module；
Client terminal obtains module to placing an order for sending order information, and receives the current object of management server shipment
Drift net point and from current logistics node reach dispatching destination time and shown；
Region division and statistical module, which are used to receive to place an order, obtains seller's place of departure of module transmission, centered on seller's place of departure
And delivery region is formed by radius of distance R, delivery region is divided into that several areas are identical and annular region interconnected,
The sequence of the distance of seller's place of departure from the near to the remote is reached according to each arc area, successively annular region is numbered, respectively
It is 1,2 ..., k, the distance of the logistics node in each annular region to seller's place of departure is counted, and filters out each logistics
Site reaches the shortest logistics node of distance of seller's place of departure and goods delivery destination is sent to management server；
Logistics data library is for the routing information on different dispatching ground, the routing information to include cargo with storing different seller's goods
The distance between the dot number and neighbour node that ground is passed through to cargo destination is issued, from cargo sending to cargo mesh
Sequence from the near to the remote of the site passed through of ground according to each site apart from logistics departure place be numbered, respectively 1,2,
3 ..., j ..., m, and each routing information is ranked up from less to more according to the dot number for including in each path, is followed successively by
1,2,...,i,...,n；
Cargo scan statistics module is located at each place of departure and each logistics node, for each place of departure of scan statistics, is swept
Retouch the logistics number of packages at time point and each logistics node and extract the dispatching destination of each logistics, by the logistics number of packages of scanning and
The corresponding dispatching destination of each logistics is sent to management server；
Management server receiving area divides the shortest logistics node of distance of seller's place of departure at a distance from statistical module transmission
With goods delivery destination, management server is according to the shortest logistics node of distance, the logistics distribution mesh apart from seller's place of departure
Ground and logistics data library in seller's place of departure for storing and logistics distribution destination filter out from cargo issue to cargo mesh
All routing informations on ground dispatching set A in path is established to the routing information of screeningi(ai1,ai2,...,aij,...,
aiM), ai1 to be expressed as i-th of routing information corresponding apart from the shortest logistics node of the distance of seller's place of departure, aiJ is expressed as
Corresponding j-th of the dot location of i-th of routing information, aiM is expressed as the destination of the corresponding cargo of i-th of routing information, no
Same path dispenses set AiCorresponding different dispatching distance set Bi(bi1,bi2,...,bij,...,biM), bi1 is expressed as i-th
Cargo issues distance of the ground apart from seller's place of departure apart from shortest logistics node, b under a routing informationiJ is expressed as i-th of tunnel
- 1 dot location of jth is at a distance from j-th of dot location under diameter information, biM is expressed as matching for cargo under i-th of routing information
Send destination between a upper site at a distance from, count the total distance of each Distribution pathSiIt is expressed as i-th of tunnel
Total dispatching distance under diameter information；
Management server filters out the shortest path number of total distance of each Distribution path, and carries out logistics according to the Distribution path
It transports, during logistics transportation, the logistics number of packages for each logistics node scanning that cargo scan statistics module is sent is received, to each
The logistics number of packages of logistics node scanning is counted, and is constituted logistics number of packages and is scanned set Ci(ci1,ci2,...,cij,...,ciF),
CiIt is expressed as the logistics number of packages set that each site under i-th of routing information need to be scanned, ci1 is expressed as distance under i-th of routing information
The logistics number of packages scanned needed for the shortest logistics node of the distance of cargo place of departure, ciJ is expressed as jth under i-th of routing information
The logistics number of packages that a site need to be scanned, ciF is expressed as the logistics number of packages that f-th of site need to be scanned under i-th of routing information, and f+
1=m；
Management server scans set C according to logistics number of packagesiAnd the corresponding dispatching destination of each logistics, filter out the transport road
Logistics reaches the dot number that goods delivery destination is passed through from dot location is currently located under diameter, and counts cargo on the road
Arrive at the destination the total time of the estimated consumption in each site for being passed through under diameter, management server by the current logistics node of cargo with
And cargo reaches from the logistics node and total time is respectively sent to client terminal needed for dispatching destination.
2. a kind of logistics information monitoring management system based on big data according to claim 1, it is characterised in that: described
Order information include seller's title, seller's place of departure, client purchase quantity of goods, Individual shipment weights, single good volume,
Dispense destination, addressee's name and contact method.
3. a kind of logistics information monitoring management system based on big data according to claim 1, it is characterised in that: cargo
Arrive at the destination the total time of the estimated consumption in each site passed throughTgiIt is expressed as i-th
Cargo reaches goods delivery destination estimated required time, c from g-th of site under pathiJ is expressed as i-th of routing information
The logistics number of packages that lower j-th of site need to be scanned, biJ is expressed as -1 dot location of jth and j-th of net under i-th of routing information
The distance of point position,It is expressed as the time of the consumption of one cargo of mean scan,It is expressed as the average transport of logistics vehicles
Speed.
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| CN112446660A (en) * | 2019-09-05 | 2021-03-05 | 顺丰科技有限公司 | Network point clustering method, device, server and storage medium |
| CN110930101B (en) * | 2020-01-23 | 2020-12-22 | 北京京邦达贸易有限公司 | Method, device, electronic equipment and readable medium for determining delivery time of order |
| CN111445184A (en) * | 2020-03-25 | 2020-07-24 | 南宁职业技术学院 | Logistics transportation supervisory systems based on big data |
| CN111429065B (en) * | 2020-03-26 | 2023-08-18 | 深圳市怡亚通供应链股份有限公司 | Logistics method and system based on blockchain and Internet of things |
| CN113743849A (en) * | 2020-06-12 | 2021-12-03 | 北京京东振世信息技术有限公司 | Logistics task transportation method and device |
| CN112001557B (en) * | 2020-08-31 | 2022-09-06 | 物联云仓(成都)科技有限公司 | TMS system-based logistics distribution path optimization method, storage medium and computer equipment |
| CN112131793B (en) * | 2020-09-24 | 2023-08-04 | 上海燕汐软件信息科技有限公司 | Line cargo quantity simulation method and device |
| CN112330201B (en) * | 2020-11-24 | 2021-06-29 | 山东卓硕北斗网络科技有限公司 | Logistics intelligent distribution vehicle scheduling method based on big data analysis |
| CN113487081B (en) * | 2021-07-06 | 2022-04-29 | 深圳市通拓信息技术网络有限公司 | Path optimization method based on logistics tracking |
| CN116523432A (en) * | 2023-05-22 | 2023-08-01 | 中永智慧科技(深圳)有限公司 | Logistics transportation management system based on path planning |
| CN116703101A (en) * | 2023-06-16 | 2023-09-05 | 青岛鲁诺金融电子技术有限公司 | Big data-based automobile sales service management system and method |
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