CN109784820A - A kind of express delivery routing intelligence solution, device, terminal device and storage medium - Google Patents
A kind of express delivery routing intelligence solution, device, terminal device and storage medium Download PDFInfo
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- CN109784820A CN109784820A CN201910246184.2A CN201910246184A CN109784820A CN 109784820 A CN109784820 A CN 109784820A CN 201910246184 A CN201910246184 A CN 201910246184A CN 109784820 A CN109784820 A CN 109784820A
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Abstract
The present invention relates to a kind of express delivery routing intelligence solution, device, terminal device and storage mediums, this method comprises: receiving the order request of user, identify in order and post part address and posting address；According to part address and posting address is posted, determine from the location information for posting part address each node into the destination path and destination path of posting address；Control order is routed according to destination path, and routes the time that the article in data prediction order reaches each node according to the first history of destination path.By above technical scheme, express delivery is realized during transportation, can according to the actual situation, look-ahead transit route to reduce transportation cost, improve conevying efficiency, and is capable of the purpose of advance notice user's express delivery arrival time.
Description
Technical field
The present invention relates to express transportation technical fields, and in particular to a kind of express delivery routing intelligence solution, device, terminal
Equipment and storage medium.
Background technique
With the fast development of delivery industry, competition in the sector reduces cost, improves efficiency and visitor
Family satisfaction is the key factor for improving company competitiveness.
Currently, after user places an order, it is daily for each site pull part amount and send part amount number, all can only be rule of thumb
To judge；In the transportational process of express delivery, the quantity of vehicle quantity and staff that each site needs, and which way to go
The problems such as line more saves time all can not achieve and plan in advance, to substantially increase transportation cost and reduce conevying efficiency；
And the time that advance notice user's express delivery reaches, better experience cannot cannot be provided the user with after the completion of user places an order.
Summary of the invention
In view of this, a kind of express delivery routing intelligence solution, device, terminal device and storage medium are provided, to solve
Express delivery during transportation cannot according to the actual situation, look-ahead transit route, to cause that transportation cost is higher, Transportation Efficiency
Rate is lower and the problem of being unable to advance notice user's express delivery arrival time.
The present invention adopts the following technical scheme:
In a first aspect, using a kind of express delivery routing intelligence solution, this method comprises: the order request of user is received,
Part address and posting address are posted in identification order；According to part address and posting address is posted, determine from posting part address to addressee
The location information of each node in the destination path and destination path of location；Control order is routed according to destination path, and
The time that the article in data prediction order reaches each node is routed according to the first history of destination path.
Second aspect, using a kind of express delivery routing intelligence device, which includes: identification module, for receiving user's
Order request identifies in order and posts part address and posting address；Determining module posts part address and posting address for basis,
It determines from the location information for posting part address each node into the destination path and destination path of posting address；Control module,
It is routed for controlling order according to destination path, and is routed in data prediction order according to the first history of destination path
Article reaches the time of each node.
The third aspect, using a kind of terminal device, which includes: processor, and the storage being connected with processor
Device；The memory is for storing computer program, and computer program is for executing above-mentioned express delivery routing intelligence solution；Place
Reason device is for calling and executing the computer program in memory.
Fourth aspect, using a kind of storage medium, which is stored with computer program, and computer program is processed
When device executes, each step in above-mentioned express delivery routing intelligence solution is realized.
The invention adopts the above technical scheme, by receive user order request, identify order in post part address and
Posting address；According to part address and posting address is posted, determine from posting destination path and target road of the part address to posting address
The location information of each node in diameter；Control order is routed according to destination path, and according to the first history of destination path
Article in routing data prediction order reaches the time of each node.By above technical scheme, realizes express delivery and transporting
In the process, can according to the actual situation, look-ahead transit route to reduce transportation cost, improve conevying efficiency, and can mention
The preceding purpose for informing user's express delivery arrival time.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of flow chart of express delivery routing intelligence solution provided in an embodiment of the present invention；
Fig. 2 is a kind of flow chart of the express delivery routing intelligence solution provided in the embodiment of the present invention；
Fig. 3 is a kind of flow chart of the express delivery routing intelligence solution provided in the embodiment of the present invention；
Fig. 4 is a kind of structural schematic diagram of express delivery routing intelligence device provided in an embodiment of the present invention；
Fig. 5 is a kind of structural schematic diagram of terminal device provided in an embodiment of the present invention.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, technical solution of the present invention will be carried out below
Detailed description.Obviously, described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Base
Embodiment in the present invention, those of ordinary skill in the art are obtained all without making creative work
Other embodiment belongs to the range that the present invention is protected.
Embodiment one
Fig. 1 is a kind of flow chart of express delivery routing intelligence solution provided in an embodiment of the present invention, and this method can be by
Express delivery routing intelligence device provided in an embodiment of the present invention executes, and the mode which can be used software and/or hardware is realized,
With reference to Fig. 1, this method can specifically include following steps:
S110, the order request for receiving user are identified in order and are posted part address and posting address.
Specifically, in an embodiment of the present invention, when user needs to post express delivery, two can be scanned by using mobile phone
Dimension code fills in express delivery information；Or when user needs to buy article from network, on computers by filling in letter with mouse click
It ceases window and completes window, letter can also be filled in by the interface that finger touches purchase article on mobile phone display screen on mobile phone
Breath, in addition, user can also be inputted by voice, express delivery information solicitation is completed.After the completion of user places an order, terminal device
System receives the information that user places an order, can be by using OCR (Optical Character Recognition, optics word
Symbol identification) technology, the text information on order is identified；When user be by voice input information when, can also to
The voice at family is identified, required partial information is chosen.Wherein, the information in order may is that user name, cell-phone number, under
Single time posts the information such as part address and posting address.It is illustrated with a specific example, when a Pekinese user is from Hangzhoupro
It does shopping in one on-line shop in state, after the completion of being placed an order by mobile phone, order information at this time is user name: XXX, user mobile phone
Number: 183********, the lower list time: 2019.1.1,10:00 post part address: Hangzhou XXX, posting address: Beijing XXX.Mobile phone
System identifies the information in order by OCR technique, identifies and posts part address and posting address information, according to identifying
Information prediction express delivery transit route.
S120, according to part address and posting address is posted, determine from posting destination path and mesh of the part address to posting address
Mark the location information of each node in path.
Specifically, since express delivery is needed during transportation by multiple nodes, it, may be from meeting when transportation range is closer
It posts part address and transports directly to posting address；And when transportation range farther out when, in transit can pass through multiple transshipment centers, because
This, when terminal device identify in order information after posting part address and posting address, can be according to posting part address information and receipts
Part address information determines all paths of express transportation, wherein there are many kinds of the modes of express transportation, and it is high to have plenty of needs
Speed transport, some then need railway transportation, and also some need walks air transportion, and from part address is posted to receipts in each means of transportation
Not only one, the route of part address, terminal device can be according to being passed through to posting address in historical shipment data from posting part address
All paths, after obtaining all routing informations, then therefrom choose a paths as destination path, in going through for the destination path
In history transportation data, the position that express delivery reaches each node will include, terminal device obtains each node in the destination path again
Location information.So that express delivery order is transported according to the data of acquisition, to improve the efficiency of express transportation.
S130, control order are routed according to destination path, and pre- according to the first history of destination path routing data
The article surveyed in order reaches the time of each node.
Specifically, in actual application, since the daily freight volume of express delivery is very big, terminal device can be deposited
There is largely data information relevant to express delivery, is based on big data technology, after determining the destination path of express delivery order shipment,
The information input of destination path into system, is posted part address and addressee by what system identification went out the destination path by terminal device
Address, terminal device can control order and be routed according to the destination path, and be based on big data technology, select from historical data
It takes the history of the destination path to route data as the first history in the present embodiment and routes data, wherein the first history road
By data include express delivery during transportation, reach the temporal information of each node, therefore, terminal device is determining destination path
Later, time for recording can also be routed in data according to the first history, predict the article in order reach each node when
Between, can look-ahead express delivery reach the time.
In the embodiment of the present invention, posting in order is identified by receiving the order request of user according to above technical scheme
Part address and posting address；According to part address and posting address is posted, determine from post part address to posting address destination path with
And in destination path each node location information；Control order is routed according to destination path, and according to destination path
Article in first history routing data prediction order reaches the time of each node.By above technical scheme, realize fast
It passs during transportation, can according to the actual situation, look-ahead transit route, thus reduce transportation cost, improve conevying efficiency,
And it is capable of the purpose of advance notice user's express delivery arrival time.
Embodiment two
Fig. 2 is a kind of flow chart of the express delivery routing intelligence solution provided in the embodiment of the present invention, and this method can be with
It is executed by express delivery routing intelligence device provided in an embodiment of the present invention, the mode which can be used software and/or hardware is real
Existing, with reference to Fig. 2, this method can specifically include following steps:
S210, the order request for receiving user are identified in order and are posted part address and posting address.
S220, according to part address and posting address is posted, obtain post part address and posting address within a preset period of time the
Two history route data, wherein the second history routing data include from the All Paths for posting part address to posting address, and it is every
The total time-consuming of paths.
Specifically, in actual application, be based on big data technology, first according to terminal device identify with posting part
Location information and posting address information are obtained from whole historical datas from posting All Paths of the part address to posting address, with
And the total time-consuming of each path routes data as the second history, and the second history obtained within a preset period of time routes number
According to.For example, posting part address is Beijing, posting address is Shanghai, the time of preset time period are as follows: 9:00-14:00, then in 9:00-
During 14:00, from Beijing be sent to the express delivery in Shanghai All Paths and each path total time-consuming be the second history route data.
S230, it data is routed according to the second history determines from posting destination path of the part address to posting address.
Specifically, routing the All Paths in data according to the second history of acquisition, selection is wherein used as from Beijing for one
To the destination path in Shanghai, the transportation route of look-ahead express delivery can be improved the conevying efficiency of express delivery, reduce transportation cost.
S240, part address and posting address are posted according to, determine the location information of each node in the destination path.
It should be noted that above-mentioned S220 and S230 are to determine from posting destination path of the part address to posting address, on
It states the location information that S240 is each node in the determining destination path and determines target road in actual application process
The location information of diameter and determining each node has no successive ordinal relation, and it is first true to be only used to example in the present embodiment, in Fig. 2
Set the goal path, then determines the process of the location information of each node, and first determines the location information of each node, then determines mesh
Mark path is not shown in FIG. 2.
S250, control order are routed according to destination path, and pre- according to the first history of destination path routing data
The article surveyed in order reaches the time of each node.
Technical solution in through this embodiment, after the completion of user places an order, terminal device receives order information, and identifies
Part address and posting address are posted in express delivery order out, is passed through and is chosen the second historical data and determine from posting part address to addressee
The All Paths of location and the total time-consuming of each path, determine the destination path of express transportation, so that order is according to this target road
Diameter is transported, and the specifying information in transport target path can be predicted according to historical data information, so that prediction result is more
Accurately, to improve the efficiency of transport.
Further, data are routed according to the second history to determine from posting destination path of the part address to posting address, comprising:
The total time-consuming for choosing each path is less than the path of preset time threshold as from posting destination path of the part address to posting address.
Specifically, during transportation due to express delivery, there was only one to the path of posting address from part address is posted, because
This, needs to select suitable transportation route according to different actual conditions.For example, in actual application, difference transport road
The road conditions of diameter will have a direct impact on conevying efficiency, and the weather conditions on the day of transport can also have an impact conevying efficiency, in addition, fortune
Traffic control situation on defeated path can also generate certain influence, when traffic control it is more stringent when, when transporting required
Between it is longer, conevying efficiency is naturally lower.And in embodiments of the present invention, according to embodiments of the present invention in express delivery routing intelligence solution
Certainly method, in conjunction with the application software (such as Baidu map, ink marks weather) of all kinds of terminal devices, terminal device is according to every road
The comparison of diameter predicted time selects total time-consuming to be less than the path of preset time threshold as from posting according to actual data information
Destination path of the part address to posting address.For example, the path from Beijing to Shanghai shares three, according to fast in the present embodiment
It passs routing intelligence solution and combines the application software of all kinds of terminal devices, finally predict the total time-consuming difference of this three paths
For 5.2h, 5.5h and 4.9h, wherein preset time threshold is 5h, then choosing total time-consuming is the path of 4.9h as express transportation
Destination path.
Wherein, in express delivery routing procedure, according to embodiments of the present invention in the prediction of express delivery routing intelligence solution it is fast
When passing destination path, it is primarily based on history routing database, can be chosen in historical data using the method for time decaying from posting
The most path of number is transported as reference path to posting address in part address, and defines path accounting threshold value, the path accounting
Threshold value can be 30%, when the accounting value in other paths is more than 30%, using the path for being more than as the influence of reference path because
Son, alternately path, when reference path cannot function as destination path due to road conditions and/or weather etc., alternative path
Alternative reference path becomes destination path.In addition, during transportation, according to embodiments of the present invention in express delivery routing intelligence
Solution, may be implemented the routing dynamic prediction of full link, and the destination path of real-time update prediction carries out according to the actual situation
Adjustment, to guarantee the accuracy in subsequent prediction path in transit.
Embodiment three
Fig. 3 is a kind of flow chart of the express delivery routing intelligence solution provided in the embodiment of the present invention, and this method can be with
It is executed by express delivery routing intelligence device provided in an embodiment of the present invention, the mode which can be used software and/or hardware is real
Existing, with reference to Fig. 3, this method can specifically include following steps:
S310, the order request for receiving user are identified in order and are posted part address and posting address.
S320, according to part address and posting address is posted, determine from posting destination path of the part address to posting address.
S330, according to part address and posting address is posted, obtain post part address and posting address within a preset period of time the
Three history route data, wherein third history routing data include believing from the whole node locations for posting part address to posting address
Breath；
Specifically, express delivery is during transportation, the express delivery routing intelligence during terminal device is according to embodiments of the present invention is solved
Method is based on big data technology, identify in order post part address and posting address after, from whole historical datas, obtain
It takes from the whole node location informations posting part address and being passed through to posting address, and the information that will acquire is routed as third history
Data.
S340, data are routed according to third history determine from posting part address into posting address, each section in destination path
The location information of point.
Specifically, when terminal device determines destination path and then routes data information according to third history, from third
History routes the location information that each node in the destination path is determined in data, wherein the location information of each node can be with
It include: that express delivery reaches the tool address information of each node and reaches the specific temporal information of corresponding node, it is fast so as to predict
The time for passing transport improves the satisfaction of user.
It should be noted that above-mentioned S320 is determined from posting destination path of the part address to posting address, above-mentioned S330
It is that the location information of each node in the determining destination path determines target road in actual application process with S340
The location information of diameter and determining each node has no successive ordinal relation, and it is first true to be only used to example in the present embodiment, in Fig. 3
Set the goal path, then determines the process of the location information of each node, and first determines the location information of each node, then determines mesh
Mark path is not shown in FIG. 3.
S350, control order are routed according to destination path, and pre- according to the first history of destination path routing data
The article surveyed in order reaches the time of each node.
Technical solution in through this embodiment, after the completion of user places an order, terminal device receives order information, and identifies
Part address and posting address are posted in express delivery order out, by choosing third historical data and determining each node in destination path
Location information after the completion of user places an order, the prediction of express transportation can be provided a user so that prediction result is more accurate
The specific node location information of destination path, the case where express delivery order shipment is clearly understood convenient for user, to improve
Customer satisfaction.
Further, node includes express delivery site and transshipment center.Specifically, express delivery is during entire routing, from
It pulls part arrive send part again to transport, needs to complete transporting for task by multiple nodes.Wherein, can pass through during transportation
At least one transshipment center, finally reach it is fast send part site after carry out sending part, so, each node in destination path can be with
Including express delivery site and at least one transshipment center, it will predict that order article in destination path reaches the address of each site and fast
Pass whether order needs to transport and the information of transshipment center is shown to user, can clearly understand the feelings of express transportation
Condition.
Further, for each express delivery site, for express delivery site pulling part amount and send part amount in preset time period
Period corresponding with preset time period of express delivery site being predicted on the day of pulls part amount and sends part amount, wherein preset time period is extremely
It is less one.
Specifically, in the prior art, each site each period on the day of pulls part amount and sends part amount is how many, all
Can only rule of thumb it be judged, for example, the export amount of express delivery can sharply increase, if only on the day of double 11 shopping sections
Rule of thumb come if judging express delivery quantity, it is easy to cause personnel assignment uneven, the unreasonable problem of haulage vehicle quantity.
And by the express delivery routing intelligence solution in this city embodiment, big data technology can be used, based on historical data pre-
If pulling in the period and sends part amount at part amount, so that period corresponding with preset time period of predicting express delivery site on the day of pulls
Part amount and part amount is sent, so as to reasonably arrange work personnel and haulage vehicle.
Preferably, predict that the article in order reaches time of each node, comprising: time, pre- of receipts is pulled in prediction express delivery
Survey the time that the time of express transportation, the time for predicting express delivery and prediction express delivery are signed for.
Specifically, the express delivery routing intelligence solution in the embodiment of the present invention can predict that the article in express delivery order arrives
Up to the time of each node, wherein express delivery is delivered to user from businessman and is signed for, and during which needs by multiple timing nodes, for example,
Placing an order from user to the time that express company receives express mail is that time of receipts is pulled in express delivery, reaches the time for sending part site from pulling to receive and is
The time of express transportation, since reach send part site to user send receipt information time be the express delivery time, from
Sending receipt information to the time that user signs for user is that the time is signed in express delivery.Therefore, the embodiment of the present invention is based on big number
According to technology, the processor of terminal device calculates being averaged for each node time according to historical data information using the method for statistics
Value, then machine learning algorithm is used, comprehensively consider influence factor (such as: the backlog of express delivery, the working efficiency of staff, mesh
Mark the road conditions and the weather conditions etc. on the transport same day in path), calculating is adjusted to the time data of prediction, final prediction is ordered
Article in list reaches the time of each node, and according to prediction result, energy advance notice user is fast after the completion of user places an order
Delivery time is passed, to improve the satisfaction of user.
Example IV
Fig. 4 is a kind of structural schematic diagram of express delivery routing intelligence device provided in an embodiment of the present invention, which is suitable for
Execute a kind of express delivery routing intelligence solution provided in an embodiment of the present invention.As shown in figure 4, the device can specifically include:
Identification module 410, for receiving the order request of user, identify in the order with posting part address and addressee
Location.
Determining module 420 is determined for posting part address and posting address according to from the part address of posting to the receipts
The location information of each node in the destination path of part address and the destination path.
Control module 430 is routed for controlling the order according to the destination path, and according to the target road
The first history routing data of diameter predict that the article in the order reaches the time of each node.
Further, determining module 420, comprising:
Message sub-module is obtained, for according to part address and posting address is posted, acquisition to post part address and posting address pre-
If the second history in the period routes data, wherein it includes from part address is posted to posting address that the second history, which routes data,
The total time-consuming of All Paths and each path.
It determines path submodule, determines for routing data according to the second history from posting target of the part address to posting address
Path.
Further, determine that path submodule is also used to choose the total time-consuming in every path less than preset time threshold
Path as from posting destination path of the part address to posting address.
Further, determining module 420 are also used to according to part address and posting address is posted, and part address and addressee are posted in acquisition
The third history of address within a preset period of time routes data, wherein it includes from part address is posted to receipts that third history, which routes data,
Whole node location informations of part address；It routes data according to third history to determine from posting part address into posting address, target
The location information of each node in path.
Further, node includes express delivery site and transshipment center.
Further, further include prediction module, be specifically used for being directed to each express delivery site, for express delivery site default
Period pulls part amount and part amount prediction express delivery site corresponding with preset time period period on the day of is sent to pull part amount and group
Part amount, wherein preset time period is at least one.
Further, control module 430 includes: time prediction submodule, for predicting that it is each that the article in order reaches
The time of node, including: the time, the time for predicting express transportation, the time for predicting express delivery of receipts are pulled in prediction express delivery
The time signed for prediction express delivery.
One that any embodiment of that present invention provides can be performed in a kind of express delivery routing intelligence device provided in an embodiment of the present invention
Kind express delivery routing intelligence solution, has the corresponding functional module of execution method and beneficial effect.
Embodiment five
Fig. 5 is a kind of structural schematic diagram of terminal device provided in an embodiment of the present invention, as shown in figure 5, the terminal device
May include:
Processor 510, and the memory 520 being connected with processor 510；Wherein, memory 520 is calculated for storing
Machine program, computer program are used to execute the express delivery routing intelligence solution in the present embodiment；Processor 510 is for calling simultaneously
Execute the computer program in memory 520.
Specifically, in actual application, terminal device can be mobile phone, it is also possible to computer, can also be existing
Any one in technology can identify, handle and the smart machine of storing data information, here, to the type and type of terminal device
Number do not do any restriction.
It in embodiments of the present invention can also include a kind of storage medium, storage medium is stored with computer program, calculates
When machine program is executed by processor 510, each step in the embodiment of the present invention in express delivery routing intelligence solution can be realized
Suddenly.
It is understood that same or similar part can mutually refer in the various embodiments described above, in some embodiments
Unspecified content may refer to the same or similar content in other embodiments.
It should be noted that in the description of the present invention, term " first ", " second " etc. are used for description purposes only, without
It can be interpreted as indication or suggestion relative importance.In addition, in the description of the present invention, unless otherwise indicated, the meaning of " multiple "
Refer at least two.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, Lai Zhihang function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, software that multiple steps or method can be executed in memory and by suitable instruction execution system with storage
Or firmware is realized.It, and in another embodiment, can be under well known in the art for example, if realized with hardware
Any one of column technology or their combination are realized: having a logic gates for realizing logic function to data-signal
Discrete logic, with suitable combinational logic gate circuit specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries
It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium
In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
It, can also be in addition, each functional unit in each embodiment of the present invention can integrate in a processing module
It is that each unit physically exists alone, can also be integrated in two or more units in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized and when sold or used as an independent product in the form of software function module, also can store in a computer
In read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiment or examples in can be combined in any suitable manner.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example
Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, modifies, replacement and variant.
Claims (10)
1. a kind of express delivery routing intelligence solution characterized by comprising
The order request for receiving user, identifies in the order and posts part address and posting address；
Post part address and posting address according to described, determine from it is described post part address to the destination path of the posting address and
The location information of each node in the destination path；
It controls the order to be routed according to the destination path, and data is routed according to the first history of the destination path
Predict that the article in the order reaches the time of each node.
2. express delivery routing intelligence solution according to claim 1, which is characterized in that described to post part address according to
And posting address, determine from it is described post part address to the posting address destination path, comprising:
Part address and posting address are posted according to described, second of part address and posting address within a preset period of time is posted described in acquisition
History routes data, wherein second history routing data include from it is described post part address to the posting address whole
The total time-consuming in path and every path；
According to second history route data determine from it is described post part address to the posting address destination path.
3. express delivery routing intelligence solution according to claim 2, which is characterized in that described according to second history
Routing data determine from it is described post part address to the posting address destination path, comprising:
The total time-consuming for choosing the described every path is less than the path of preset time threshold as from the part address of posting to institute
State the destination path of posting address.
4. express delivery routing intelligence solution according to claim 1, which is characterized in that described to post part address according to
And posting address, determine the location information of each node in the destination path, comprising:
Part address and posting address are posted according to described, the third of part address and posting address within a preset period of time is posted described in acquisition
History routes data, wherein third history routing data include from it is described post part address to the posting address whole
Node location information；
Data are routed according to the third history to determine from the part address of posting into the posting address, in the destination path
The location information of each node.
5. express delivery routing intelligence solution described in -4 according to claim 1, which is characterized in that the node includes express delivery net
Point and transshipment center.
6. express delivery routing intelligence solution according to claim 5, which is characterized in that be directed to each described express delivery net
Point, for the express delivery site preset time period pull part amount and send part amount predict the express delivery site on the day of with it is described pre-
If pulling for period corresponding period and sends part amount at part amount, wherein the preset time period is at least one.
7. express delivery routing intelligence solution according to claim 1, which is characterized in that in the prediction order
Article reaches the time of each node, comprising: the time, the time for predicting express transportation, prediction that receipts are pulled in prediction express delivery are fast
It passs the time for sending part and predicts the time that express delivery is signed for.
8. a kind of express delivery routing intelligence device, which is characterized in that the express delivery applied to such as claim 1-7 any one routes intelligence
It can solve method, described device includes:
Identification module identifies in the order for receiving the order request of user and posts part address and posting address；
Determining module is determined for posting part address and posting address according to from the part address of posting to the posting address
Destination path and the destination path in each node location information；
Control module is routed for controlling the order according to the destination path, and according to the of the destination path
One history routing data predict that the article in the order reaches the time of each node.
9. a kind of terminal device characterized by comprising
Processor, and the memory being connected with the processor；
The memory is at least used for perform claim and requires any one of 1-7 for storing computer program, the computer program
The express delivery routing intelligence solution；
The processor is for calling and executing the computer program in the memory.
10. a kind of storage medium, which is characterized in that the storage medium is stored with computer program, the computer program quilt
When processor executes, realize such as each step in the described in any item express delivery routing intelligence solutions of claim 1-7.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101320442A (en) * | 2007-06-05 | 2008-12-10 | 上海博拉软件有限公司 | Method for implementing real-time cargo tracing and monitoring based on logistics management platform |
| EP2750086A1 (en) * | 2012-12-28 | 2014-07-02 | Exapaq Sas | Methods and systems for providing package pickup/delivery services |
| CN105354633A (en) * | 2015-10-26 | 2016-02-24 | 努比亚技术有限公司 | Transportation route calculation system and method |
| CN106971244A (en) * | 2017-03-30 | 2017-07-21 | 华为技术有限公司 | A kind of logistics route planning method and equipment |
| CN109284948A (en) * | 2017-07-20 | 2019-01-29 | 菜鸟智能物流控股有限公司 | Logistics object selection method, logistics object selection device and electronic device |
-
2019
- 2019-03-28 CN CN201910246184.2A patent/CN109784820A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101320442A (en) * | 2007-06-05 | 2008-12-10 | 上海博拉软件有限公司 | Method for implementing real-time cargo tracing and monitoring based on logistics management platform |
| EP2750086A1 (en) * | 2012-12-28 | 2014-07-02 | Exapaq Sas | Methods and systems for providing package pickup/delivery services |
| CN105354633A (en) * | 2015-10-26 | 2016-02-24 | 努比亚技术有限公司 | Transportation route calculation system and method |
| CN106971244A (en) * | 2017-03-30 | 2017-07-21 | 华为技术有限公司 | A kind of logistics route planning method and equipment |
| CN109284948A (en) * | 2017-07-20 | 2019-01-29 | 菜鸟智能物流控股有限公司 | Logistics object selection method, logistics object selection device and electronic device |
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