CN107067154A - The railway vehicle smart allocation dispatching method of logistics system - Google Patents

The railway vehicle smart allocation dispatching method of logistics system Download PDF

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Publication number
CN107067154A
CN107067154A CN201710091833.7A CN201710091833A CN107067154A CN 107067154 A CN107067154 A CN 107067154A CN 201710091833 A CN201710091833 A CN 201710091833A CN 107067154 A CN107067154 A CN 107067154A
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CN
China
Prior art keywords
vehicle
entrucking
dispatching method
logistics system
railway
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710091833.7A
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Chinese (zh)
Inventor
陆玉衡
忻佳明
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Shanghai Jade Technology Co Ltd
Original Assignee
Shanghai Jade Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Jade Technology Co Ltd filed Critical Shanghai Jade Technology Co Ltd
Priority to CN201710091833.7A priority Critical patent/CN107067154A/en
Publication of CN107067154A publication Critical patent/CN107067154A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping

Abstract

The invention discloses a kind of railway vehicle smart allocation dispatching method of logistics system, it comprises the following steps:Step one, start;Step 2, obtains vehicle order information;Step 3, obtains originating point and the destination of vehicle;Step 4, transport segmentation is carried out to waybill;Step 5, train loading situation is predicted by artificial intelligence, and step 6 is refuted vehicle according to the selection of the situation of prediction is short, is scheduled;Step 7, according to the index such as stock's vehicle and examination, calculating maximum can wagon loading;Step 8, actual entrucking is compared with calculating entrucking;Step 9, transport is completed.The present invention not only solves Traditional Man by the help of software algorithm and dispatches shortcoming high with error under the allocative efficiency of system, while user can be helped effectively to reduce cost of labor and haulage time reasonability, reaches highest efficiency.

Description

The railway vehicle smart allocation dispatching method of logistics system
Technical field
The present invention relates to a kind of allocation schedule method, the railway vehicle smart allocation of more particularly to a kind of logistics system is adjusted Degree method.
Background technology
Logistics company needs reasonably to dispatch the traffic program for the automobile that dispatches from the factory by scheduling system.Dispatch from the factory automobile meeting Different circuits are assigned to, and are sent to different destinations, at the same time the cost of transportation of logistics company needs to drop as far as possible It is low, to the greatest extent should not be overtime on the time, to reduce overtime fine.
Because manual dispatching error rate is larger, does not carry out first in first out and cause OTD to go wrong, without best utilization Means of transport and warehouse.Need to calculate the schedule information of vehicle automatically by computer, logistics cost is preferably minimized, and is lifted Rate of timely freight transportation.
Prior art is the scheduling system under artificial operation, and Logistic Scheduling is carried out to the automobile that dispatches from the factory by artificial form, All operations are all manual, and scheduling is time-consuming, have error rate high, low and test dispatcher's technical capability the shortcoming of efficiency.
The content of the invention
The technical problems to be solved by the invention are to provide a kind of railway vehicle smart allocation dispatching method of logistics system, With the high shortcoming that malfunctions under the allocative efficiency of its Traditional Man scheduling system that can determine, and user is helped effectively to reduce people Work cost, reaches highest efficiency.
The present invention is to solve above-mentioned technical problem by following technical proposals:A kind of railway vehicle intelligence of logistics system Energy allocation schedule method, it comprises the following steps:
Step one, start;
Step 2, obtains vehicle order information;
Step 3, obtains originating point and the destination of vehicle;
Step 4, transport segmentation is carried out to waybill;
Step 5, train loading situation is predicted by artificial intelligence,
Step 6, refutes vehicle according to the selection of the situation of prediction is short, is scheduled;
Step 7, according to the index such as stock's vehicle and examination, calculating maximum can wagon loading;
Step 8, actual entrucking is compared with calculating entrucking;
Step 9, transport is completed.
Preferably, the step 5 carries out transport segmentation to waybill, and data and history manual segmentation are dispatched by history Experience, selects some segmentation schemes, and then basis is currently that haulage vehicle quantity and historical shipment condition selecting are most preferably segmented.
Preferably, the step 6 is scheduled by means of transportation, Current vehicle quantity is read, then according to different fortune Defeated mode, the automatic vehicle for calculating scheduling.
The positive effect of the present invention is:The present invention docked in real time with main engine plants, real-time monitoring dispatch from the factory vehicle believe Breath;According to the information of vehicles that dispatches from the factory, transportation logisticses are distributed automatically;Statistics and inquiry loading-unloading vehicle historical record;With warning function;Adjust Degrees of data uploads database in real time;Real-time monitoring images.
The present invention not only solves Traditional Man by the help of software algorithm and dispatched under the allocative efficiency of system with going out Wrong high shortcoming, while user can be helped effectively to reduce cost of labor, reaches highest efficiency.
Brief description of the drawings
Fig. 1 is schematic flow sheet of the invention.
Embodiment
Present pre-ferred embodiments are provided below in conjunction with the accompanying drawings, to describe technical scheme in detail.
As shown in figure 1, the railway vehicle smart allocation dispatching method of logistics system of the present invention comprises the following steps:
Step one, start;
Step 2, obtains vehicle order information;
Step 3, obtains originating point and the destination of vehicle;
Step 4, transport segmentation is carried out to waybill;
Step 5, train loading situation is predicted by artificial intelligence,
Step 6, refutes vehicle according to the selection of the situation of prediction is short, is scheduled;
Step 7, according to the index such as stock's vehicle and examination, calculating maximum can wagon loading;
Step 8, actual entrucking is compared with calculating entrucking;
Step 9, transport is completed.
The step 4 carries out transport segmentation to waybill, and the experience of data and history manual segmentation, choosing are dispatched by history Some segmentation schemes are selected, then basis is currently that haulage vehicle quantity and historical shipment condition selecting are most preferably segmented.
The step 6 is scheduled by means of transportation, reads Current vehicle quantity, then according to different means of transportation, The automatic vehicle for calculating scheduling.
The step 7 is scheduled by means of transportation, and reading can transport train wagon and quantity, and be currently needed for transport vehicle Situation, the automatic preferred plan for calculating entrucking.
The operation principle of the present invention is as follows:The present invention is some of scheduler module in vehicle Features of Railway Logistics management system, Using php as development language, mysql, according to historical data analysis optimal scheduling vehicle, believes as database according to stock Breath, adjustment scheduling data, is dispatched buses by manual amendment, makes computer learning scheduling rule.
The present invention is docked in real time with main engine plants, and real-time monitoring dispatches from the factory information of vehicles;According to the information of vehicles that dispatches from the factory, automatic distribution Transportation logisticses;Statistics and inquiry loading-unloading vehicle historical record;With warning function;Scheduling data upload database in real time;Supervise in real time Control image.
In summary, the present invention not only solves the allocative efficiency that Traditional Man dispatches system by the help of software algorithm The beneath shortcoming high with error, while user can be helped effectively to reduce cost of labor, reaches highest efficiency.
Fig. 1 is the algorithm flow chart of the present invention, with reference to logistics system, implements to mainly include the following steps that:Collect history Train loading data, according to related datas such as Order Date, direction, vehicle sizes, by computer neuroid, estimates every fire caused by lightning or other natural phenomena Car wagon loading plan table.Train loading planning chart manually can be changed by manually adjusting.System is according to the information of manual setting Table, again as parameter, the weight of different parameters, reaches and more accurately estimates train loading information in adjustment neutral net.It is logical Cross logistics TMS systems and obtain the sequence information for needing to transport.According to the originating point of order and Zhongdao point and history segment data, from It is dynamic to calculate optimal segmentation method.The short transportation by lighter power of user's craft typing(It is short to refute number including wooden handcart quantity), according to wagon loading plan Table, stock's vehicle, generation need to do the short vehicle list for refuting scheduling.User changes the short vehicle for refuting scheduling by hand, rear to confirm to adjust Spend information.By schedule information, TMS systems are fed back to.It is scanned after vehicle outbound.It is scanned after vehicle pull-in.By going through History outbound-enter the station data, analysis vehicle is in way used time, the data dispatched for machine learning.Platform personnel craft typing train Railway carriage data, system distributes vehicle and loads train automatically, and can manually adjust.Train dress train scanning.
Particular embodiments described above, technical problem, technical scheme and beneficial effect to the solution of the present invention are carried out It is further described, should be understood that the specific embodiment that the foregoing is only of the invention, be not limited to The present invention, within the spirit and principles of the invention, any modification, equivalent substitution and improvements done etc. should be included in this Within the protection domain of invention.

Claims (4)

1. the railway vehicle smart allocation dispatching method of a kind of logistics system, it is characterised in that it comprises the following steps:
Step one, start;
Step 2, obtains vehicle order information;
Step 3, obtains originating point and the destination of vehicle;
Step 4, transport segmentation is carried out to waybill;
Step 5, train loading situation is predicted by artificial intelligence,
Step 6, refutes vehicle according to the selection of the situation of prediction is short, is scheduled;
Step 7, according to the index such as stock's vehicle and examination, calculating maximum can wagon loading;
Step 8, actual entrucking is compared with calculating entrucking;
Step 9, transport is completed.
2. the railway vehicle smart allocation dispatching method of railway complete vehicle logistics system as claimed in claim 1, it is characterised in that The step 4 carries out transport segmentation to waybill, and the experience of data and history manual segmentation is dispatched by history, selects some points Section scheme, then basis is currently that haulage vehicle quantity and historical shipment condition selecting are most preferably segmented.
3. the railway vehicle smart allocation dispatching method of logistics system as claimed in claim 1, it is characterised in that the step Five are scheduled by means of transportation, according to the train loading data and current inventory information and History Order data of history, pre- fire detecting Car entrucking information.
4. the railway vehicle smart allocation dispatching method of logistics system as claimed in claim 1, it is characterised in that the step Seven are scheduled by means of transportation, are read when next stop bicycle parking, Order Date, railway carriage information are then according to different transporters Formula, it is automatic calculate maximum railway carriage can entrucking situation be accurate to vehicle.
CN201710091833.7A 2017-02-21 2017-02-21 The railway vehicle smart allocation dispatching method of logistics system Pending CN107067154A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710091833.7A CN107067154A (en) 2017-02-21 2017-02-21 The railway vehicle smart allocation dispatching method of logistics system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710091833.7A CN107067154A (en) 2017-02-21 2017-02-21 The railway vehicle smart allocation dispatching method of logistics system

Publications (1)

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CN107067154A true CN107067154A (en) 2017-08-18

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112529314A (en) * 2020-12-17 2021-03-19 四川云智造科技有限公司 Multi-mode intermodal transport scheduling system, method and equipment

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030110102A1 (en) * 2001-05-29 2003-06-12 Chen-Fu Chien Method for goods arrangement and its system
CN101782983A (en) * 2009-07-14 2010-07-21 上海海事大学 Scheduling method of minimum complete vehicle logistics real-time loading air-up mileage
CN103366262A (en) * 2013-03-19 2013-10-23 合肥工大高科信息科技股份有限公司 Dispatching plan generating method of industrial railway logistics intelligent dispatching system
CN103544588A (en) * 2013-10-31 2014-01-29 深圳市华傲数据技术有限公司 Method and system for intelligently loading logistic cargoes

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030110102A1 (en) * 2001-05-29 2003-06-12 Chen-Fu Chien Method for goods arrangement and its system
CN101782983A (en) * 2009-07-14 2010-07-21 上海海事大学 Scheduling method of minimum complete vehicle logistics real-time loading air-up mileage
CN103366262A (en) * 2013-03-19 2013-10-23 合肥工大高科信息科技股份有限公司 Dispatching plan generating method of industrial railway logistics intelligent dispatching system
CN103544588A (en) * 2013-10-31 2014-01-29 深圳市华傲数据技术有限公司 Method and system for intelligently loading logistic cargoes

Non-Patent Citations (2)

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Title
张俊峰: "小型乘用车国内多式联运配送方案优化研究", 《中国优秀硕士学位论文全文数据库经济与管理科学辑》 *
高立杰等: "基于禁忌搜索算法的铁路运输汽车专用车配载优化", 《铁道货运》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112529314A (en) * 2020-12-17 2021-03-19 四川云智造科技有限公司 Multi-mode intermodal transport scheduling system, method and equipment

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Application publication date: 20170818

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