CN109409586A - Branch line transport power shared platform - Google Patents
Branch line transport power shared platform Download PDFInfo
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- CN109409586A CN109409586A CN201811172373.1A CN201811172373A CN109409586A CN 109409586 A CN109409586 A CN 109409586A CN 201811172373 A CN201811172373 A CN 201811172373A CN 109409586 A CN109409586 A CN 109409586A
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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"
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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
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Abstract
The present invention relates to logistics and transportation technical fields, it is concretely a kind of branch line transport power shared platform, including site end, dispatching platform and driver end, the site safeguarded according to station field signal, Distribution Center, Distribution Center longitude and latitude data generate the timeliness data between each website, Capacity management data are generated according to practical vehicle condition, configuration parameter module includes at least load factor threshold value, arrival time threshold value, parallel maximum running time, parallel most bulk production amount, consolidating the load point processing capacity coefficient of relaxation parameter, vehicle cost module includes the actual motion cost of a variety of models, the data call intelligent algorithm that module provides, shift after exporting height optimization combination, and generate departure plan available to execute.
Description
Technical field
The present invention relates to logistics and transportation technical fields, are concretely a kind of branch line transport power shared platforms.
Background technique
Material flow industry is the artery and basic industry of the national economic development, and development degree, which becomes, measures a National modern
The one of the important signs that of change degree and overall national strength, as being constantly progressive for logistlcs technology is continuous with artificial intelligence application field
Expand, intelligence is increasingly becoming the important directions of logistic management system development.Traditional cities dispatching field be all with vehicle delivery,
Vehicle transaction, i.e., the smallest transaction unit are vehicle, and minimum transaction unit is that the product of vehicle wants the consolidating the load ability of client
Ask quite high, C-terminal client oneself saves bit by bit the goods amount possibility very little for needing carload freight, and the end B client has long-term conjunction more
That makees is familiar with driver and vehicle, is only possible to just consider temporarily to look for vehicle from outside in very urgent and without suitable vehicles when,
Once the source of goods is stablized, vehicle goods both sides are also very likely detached from platform.It is same still to disperse because of urban inner logistics demand, less
It is possible that a large amount of order relay situations that this quasi-mode entrepreneur wishes to.
A kind of charging ratio that vehicle can be improved is designed thus, reinforces the rate that is used in turn of goods stock, reduces city road
The branch line transport power shared platform of the load of afloat vehicle be very it is necessary to.
Summary of the invention
The present invention breaches the problem of the prior art, devises a kind of charging ratio that vehicle can be improved, and reinforces freight
Be used in turn rate, reduce the branch line transport power shared platform of the load of urban road lorry.
In order to achieve the above object, the present invention devises branch line transport power shared platform, including site end, dispatching platform and department
Generator terminal, it is characterised in that: it is shared to carry out transport power in accordance with the following steps:
Step 1: reporting goods amount demand at site end, and generate transportation demand to be offered, while site end will report goods amount to need
It asks to be submitted to and generates reception demand to be offered in dispatching platform；
Step 2: dispatching platform periodically generates demand combinations after having collected all site demands, carries out smart shift scheduling, exports later
Corresponding shift and price data, and transmit that data to site end, site termination receive transport to be offered after data
Demand is updated to the transportation demand offered, and is confirmed, when confirmation result is no, terminates process；Confirmation result is when being,
Into in next step；
Step 3: the transportation demand that step 2 is confirmed is transferred in dispatching platform, makes reception demand to be offered in dispatching platform
It is updated to the transportation demand that site has confirmed that, and is checked and approved, locking forms order later, and order is combined, raw in step 2
At shift and price data on the basis of update shift and price, and the updated data are transferred to driver end, driver
After receiving updated shift and price data, start to execute transport task.
The detailed process of smart shift scheduling described in step 2 is as follows:
(1) prefab data is read, is initialized, and data are pre-processed；
(2) appoint and take a consolidating the load point, search for all sites for meeting timeliness and be added in doubling；
(3) the consolidating the load point is directly transported into Distribution Center, then judges whether that there are also the consolidating the load points not arranged, it is no, then enter next
It walks, is, then return step (2)；
(4) appoint and take the site A not arranged, judge whether site A selects share-car, be, then enter step (4.1)；It is no, then it is right
Site A using straight fortune, and select least vehicle and herein under the premise of the maximum vehicles combination of charging ratio, subsequently into step (5)；
(4.1) judge whether site A has share-car object, have, then enter step (4.2)；No, then selection expands share-car simultaneously nearby
Site B is added, enters step (4.3)；
(4.2) judge whether share-car object meets timeliness and can load cargo with a vehicle, be, then expand share-car nearby and be added
Site B is entered step (4.3), no, then leaves out the least site of quantity in stock, re-start judgement, until judging result is yes；
(4.3) judge whether site B meets timeliness and can be loaded with a vehicle, be then to enter step (5), it is no, then leave out site
B, using the minimum vehicle for meeting total Cargo；
(5) site not arranged also is judged whether there is, no, then output scheduling arrangement is that then return step (4), re-start
Processing, until this step judging result is no.
The prefab data mainly includes station field signal data, Distribution Center timetable, timeliness data, Capacity management number
According to, configuration parameter and vehicle cost.
Compared with prior art, the present invention being acquired and calculating the present invention is based on data and algorithm, by getting lines crossed and simultaneously
The mode of line, the share-car mode for the city distribution field different user that Lai Jinhang is turned parts into the whole, improves the charging ratio of vehicle, adds
Strong goods stock is used in turn rate, to reduce the load of urban road lorry.
Detailed description of the invention
Fig. 1 is flow chart of the invention.
Fig. 2 is the flow chart of smart shift scheduling in the present invention.
Fig. 3 is data flow figure in the present invention.
Specific embodiment
The present invention is described further in conjunction with attached drawing.
Referring to Fig. 1, the present invention devises branch line transport power shared platform, including site end, dispatching platform and driver end, special
Sign is: it is shared that transport power is carried out in accordance with the following steps:
Step 1: reporting goods amount demand at site end, and generate transportation demand to be offered, while site end will report goods amount to need
It asks to be submitted to and generates reception demand to be offered in dispatching platform；
Step 2: dispatching platform periodically generates demand combinations after having collected all site demands, carries out smart shift scheduling, exports later
Corresponding shift and price data, and transmit that data to site end, site termination receive transport to be offered after data
Demand is updated to the transportation demand offered, and is confirmed, when confirmation result is no, terminates process；Confirmation result is when being,
Into in next step；
Step 3: the transportation demand that step 2 is confirmed is transferred in dispatching platform, makes reception demand to be offered in dispatching platform
It is updated to the transportation demand that site has confirmed that, and is checked and approved, locking forms order later, and order is combined, raw in step 2
At shift and price data on the basis of update shift and price, and the updated data are transferred to driver end, driver
After receiving updated shift and price data, start to execute transport task.
Referring to fig. 2, the detailed process of smart shift scheduling described in step 2 is as follows in the present invention:
(1) prefab data is read, is initialized, and data are pre-processed；
(2) appoint and take a consolidating the load point, search for all sites for meeting timeliness and be added in doubling；
(3) the consolidating the load point is directly transported into Distribution Center, then judges whether that there are also the consolidating the load points not arranged, it is no, then enter next
It walks, is, then return step (2)；
(4) appoint and take the site A not arranged, judge whether site A selects share-car, be, then enter step (4.1)；It is no, then it is right
Site A selects least vehicle and the maximum vehicles combination of charging ratio using straight fortune, subsequently into step (5)；
(4.1) judge whether site A has share-car object, have, then enter step (4.2)；No, then selection expands share-car simultaneously nearby
Site B is added, enters step (4.3)；
(4.2) judge whether the share-car object of site B meets timeliness and can load cargo with a vehicle, be, then expand nearby and spell
Simultaneously site B is added in vehicle, enters step (4.3), no, then leaves out the least site of quantity in stock, re-start judgement, until judgement is tied
Fruit is yes；
(4.3) judge whether site B meets timeliness and can be loaded with a vehicle, be then to enter step (5), it is no, then leave out site
B, using the minimum vehicle for meeting total Cargo；
(5) site not arranged also is judged whether there is, no, then output scheduling arrangement is that then return step (4), re-start
Processing, until this step judging result is no.
Referring to Fig. 3, in the present invention prefab data mainly include station field signal data, Distribution Center timetable, timeliness data,
Capacity management data, configuration parameter and vehicle cost.
Site that the present invention is safeguarded according to station field signal, Distribution Center, Distribution Center longitude and latitude data generate between each website
Timeliness data, Capacity management data are generated according to practical vehicle condition, configuration parameter module includes at least load factor threshold value, when arrival
Between threshold value, parallel maximum running time, most bulk production amount parallel, consolidating the load point processing capacity coefficient of relaxation parameter, vehicle cost module
Actual motion cost comprising a variety of models, the data call intelligent algorithm that module provides, the class after output height optimization combination
It is secondary, and generate departure plan available to execute.
Vehicle loading rate is improved by intensive share-car mode, multiple users are provided and spell goods combination, are significantly saved original
Fare number makes complete vehicle logistics cost share multiple enterprises by single enterprise, under the premise of guaranteeing that timeliness, region can travel,
Suitable transport power is dispatched from transport power pond in real time, it, will be in long amount of futures pond and interim goods amount pond using the mode got lines crossed with doubling
Goods amount be transported to Distribution Center from each site, and be transported to each site from Distribution Center.
Claims (3)
1. branch line transport power shared platform, including site end, dispatching platform and driver end, it is characterised in that: in accordance with the following steps into
Row transport power is shared:
Step 1: reporting goods amount demand at site end, and generate transportation demand to be offered, while site end will report goods amount to need
It asks to be submitted to and generates reception demand to be offered in dispatching platform；
Step 2: dispatching platform periodically generates demand combinations after having collected all site demands, carries out smart shift scheduling, exports later
Corresponding shift and price data, and transmit that data to site end, site termination receive transport to be offered after data
Demand is updated to the transportation demand offered, and is confirmed, when confirmation result is no, terminates process；Confirmation result is when being,
Into in next step；
Step 3: the transportation demand that step 2 is confirmed is transferred in dispatching platform, makes reception demand to be offered in dispatching platform
It is updated to the transportation demand that site has confirmed that, and is checked and approved, locking forms order later, and order is combined, raw in step 2
At shift and price data on the basis of update shift and price, and the updated data are transferred to driver end, driver
After receiving updated shift and price data, start to execute transport task.
2. branch line transport power shared platform according to claim 1, it is characterised in that: smart shift scheduling described in step 2
Detailed process is as follows:
(1) prefab data is read, is initialized, and data are pre-processed；
(2) appoint and take a consolidating the load point, search for all sites for meeting timeliness and be added in doubling；
(3) the consolidating the load point is directly transported into Distribution Center, then judges whether that there are also the consolidating the load points not arranged, it is no, then enter next
It walks, is, then return step (2)；
(4) appoint and take the site A not arranged, judge whether site A selects share-car, be, then enter step (4.1)；It is no, then it is right
Site A selects least vehicle and the maximum vehicles combination of charging ratio using straight fortune, subsequently into step (5)；
(4.1) judge whether site A has share-car object, have, then enter step (4.2)；No, then selection expands share-car simultaneously nearby
Site B is added, enters step (4.3)；
(4.2) judge whether the share-car object of site B meets timeliness and can load cargo with a vehicle, be, then expand nearby and spell
Simultaneously site B is added in vehicle, enters step (4.3), no, then leaves out the least site of quantity in stock, re-start judgement, until judgement is tied
Fruit is yes；
(4.3) judge whether site B meets timeliness and can be loaded with a vehicle, be then to enter step (5), it is no, then leave out site
B, using the minimum vehicle for meeting total Cargo；
(5) site not arranged also is judged whether there is, no, then output scheduling arrangement is that then return step (4), re-start
Processing, until this step judging result is no.
3. branch line transport power shared platform according to claim 2, it is characterised in that: the prefab data mainly includes website
Manage data, Distribution Center timetable, timeliness data, Capacity management data, configuration parameter and vehicle cost.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811172373.1A CN109409586A (en) | 2018-10-09 | 2018-10-09 | Branch line transport power shared platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811172373.1A CN109409586A (en) | 2018-10-09 | 2018-10-09 | Branch line transport power shared platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109409586A true CN109409586A (en) | 2019-03-01 |
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ID=65466829
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811172373.1A Pending CN109409586A (en) | 2018-10-09 | 2018-10-09 | Branch line transport power shared platform |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101923666A (en) * | 2009-06-10 | 2010-12-22 | 上海美华系统有限公司 | Transportation management method based on joint collaboration of logistics company, shipper and carrier |
| CN105512747A (en) * | 2015-11-25 | 2016-04-20 | 安吉汽车物流有限公司 | Intelligent optimized scheduling system for logistics |
| CN106022693A (en) * | 2016-05-27 | 2016-10-12 | 成都嗒嗒创客信息科技有限公司 | Goods source and vehicle source dynamic intelligent matching realization method |
| CN106709688A (en) * | 2017-01-03 | 2017-05-24 | 南京大学 | Vehicle pooling method of freight vehicle-pooling platform |
| CN108038625A (en) * | 2017-12-26 | 2018-05-15 | 重庆博欧科技有限公司 | Intelligence is sent a car system |
| CN108416559A (en) * | 2018-04-18 | 2018-08-17 | 江苏富力物流科技有限公司 | A kind of shipping platform car owner maximum revenue intelligence share-car matching process |
-
2018
- 2018-10-09 CN CN201811172373.1A patent/CN109409586A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101923666A (en) * | 2009-06-10 | 2010-12-22 | 上海美华系统有限公司 | Transportation management method based on joint collaboration of logistics company, shipper and carrier |
| CN105512747A (en) * | 2015-11-25 | 2016-04-20 | 安吉汽车物流有限公司 | Intelligent optimized scheduling system for logistics |
| CN106022693A (en) * | 2016-05-27 | 2016-10-12 | 成都嗒嗒创客信息科技有限公司 | Goods source and vehicle source dynamic intelligent matching realization method |
| CN106709688A (en) * | 2017-01-03 | 2017-05-24 | 南京大学 | Vehicle pooling method of freight vehicle-pooling platform |
| CN108038625A (en) * | 2017-12-26 | 2018-05-15 | 重庆博欧科技有限公司 | Intelligence is sent a car system |
| CN108416559A (en) * | 2018-04-18 | 2018-08-17 | 江苏富力物流科技有限公司 | A kind of shipping platform car owner maximum revenue intelligence share-car matching process |
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Application publication date: 20190301 |