CN108932598A - A kind of grand scale logistic allocator based on cloud platform - Google Patents
A kind of grand scale logistic allocator based on cloud platform Download PDFInfo
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- CN108932598A CN108932598A CN201810553260.XA CN201810553260A CN108932598A CN 108932598 A CN108932598 A CN 108932598A CN 201810553260 A CN201810553260 A CN 201810553260A CN 108932598 A CN108932598 A CN 108932598A
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- dispatching
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- logistics
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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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
Abstract
The invention discloses a kind of grand scale logistic allocator based on cloud platform, logistics distribution circle is divided according to the stream of people, customer quantity etc. first, logistics center's items scanning information simultaneously uploads data, then the matching of dispatching circle is carried out to cargo, the commodity of dispatching circle are divided into several order subclass by k-means clustering algorithm, the distribution route of each dispatching circle is calculated using discrete particle cluster algorithm, client inquires dispatching state by APP or WEB terminal, and center monitors vehicle location and state by car-mounted terminal.
Description
Technical field
The present invention relates to logistics distributions to optimize field, matches more particularly, to a kind of grand scale logistic based on cloud platform
Delivery method.
Background technique
With the continuous development of e-commerce, more and more people's Selection utilization e-commerce carries out article trading, this
Promote the rapid development of logistics.With the continuous growth of business, being continuously increased for sending objects quantity, traditional distribution side are needed
There are many problems in formula, firstly, package Loss is more and more frequent in logistics progress, is difficult to determine that link after loss
It goes wrong, is difficult to determine corresponding person liable；Secondly, in delivery process, what addressee was difficult to know cargo send part situation；
Again, logistics company is also difficult to know the specific location of distribution vehicle, can not monitor in real time；The last prior art is not to similar
Cargo carries out order merging, and distribution cost cannot be effectively reduced.
Summary of the invention
Present invention aim to address said one or multiple defects, propose that a kind of grand scale logistic based on cloud platform is matched
Delivery method.
To realize the above goal of the invention, the technical solution adopted is that：
A kind of grand scale logistic allocator based on cloud platform, includes the following steps：
S1：Logistics distribution circle is divided, logistics distribution circle is using logistics center as core；
S2：Label is scanned in logistics center, and order information is passed to data center;
S3：Cloud platform, will be in goods matching to suitable dispatching substation according to dispatching substation information and order information；
S4：Commodity in dispatching circle are divided into several order subclass using k-means clustering algorithm by cloud platform；
S5：Cloud platform is suitable using the successively service that discrete particle cluster algorithm calculates each distribution route for dispensing substation and client
Sequence；
S6：Dispatching substation arranges vehicle and personnel to dispense；
S7：Data-evaluation condition of road surface that control centre is fed back according to vehicle termination and the traveling road for correcting distribution vehicle in real time
Line；
S8：The real-time position of customer inquiries current cargo and E.T.A；
S9：When distribution vehicle completes all dispatching tasks of the train number, dispatching substation is returned to, as candidate's fortune next time
Power.
The size of radius size, dispatching substation transport power that preferably, logistics distribution circle described in step S1 is enclosed according to dispatching,
Number of users, quantity on order, crowded degree, ground economic level of surrounding are divided.
Preferably, label described in step S2 is RFID electronic label.
Preferably, step S5 includes the following steps：
S5.1：Input Customer Location, order and traffic information；
S5.2：Initialization population；
S5.3：Calculate fitness；
S5.4：More new individual optimal value and global optimum；
S5.5：Individual position and speed in Population Regeneration；
S5.6：Judge whether to meet stop condition；As a result to be to enter step S5.7, result is otherwise to enter step S5.3；
S5.7：Obtain optimal solution；
S5.8：Export optimal scheduling scheme.
Preferably, the inquiry real-time position of current cargo described in step S8 includes passing through WEB terminal, the end APP or phone
Inquiry.
Compared with prior art, the beneficial effects of the invention are as follows：
1）Logistics distribution circle is established, the utilization rate of each distribution point is improved；
2）The commodity merger of dispatching substation at several order subclass, the commodity of same order subclass by the way of cluster
It is arranged in same train number to be dispensed, effectively reduces the time of handling goods；
3）Control centre is according to the geographical location of client, Time priority, commodity weight information, using discrete particle cluster algorithm meter
Distribution project is calculated, the successive service order of the Fleet size of each dispensing station, travel route, client are optimized, reduces vehicle
Consumption, the oil consumption be transported to number, dispense personnel, greatly reduce the consumption of manpower and material resources, improve dispatching efficiency and client
Satisfaction；
4）In such a way that car-mounted terminal positions and sends warning, control centre can monitor vehicle location in real time, learn that road conditions are believed
Breath and vehicle safety situation, correct route in real time；
5）Client can be by the commodity position and E.T.A of internet or Help by Phone oneself, can be more quasi-
Really, arranged rational goods receiving time avoids the states such as prolonged sky.
Detailed description of the invention
Fig. 1 is flow chart of the invention；
Fig. 2 is the matched schematic diagram of logistics distribution circle；
Fig. 3 is the schematic diagram that order set divides；
Fig. 4 is the flow chart of discrete particle cluster algorithm.
Specific embodiment
The attached figures are only used for illustrative purposes and cannot be understood as limitating the patent；
Below in conjunction with drawings and examples, the present invention is further elaborated.
Embodiment 1
A kind of grand scale logistic allocator based on cloud platform, referring to FIG. 1, including the following steps：
S1：Logistics distribution circle is divided, please refers to Fig. 2, Fig. 3, logistics distribution circle is using logistics center as core；Logistics distribution circle can be with
It is interpreted as the region using the geographical location of logistics center as core, certain distance for radius, can be regarded as in the region with logistics
Send centered on standing, around the concentrated area for having certain amount user with charge free.It is big that point radius that can be enclosed according to dispatching is irised wipe in logistics distribution
Size that is small, dispensing substation transport power, the number of users of surrounding, quantity on order, crowded degree, the ground economic level are drawn
Point；
S2：Label is scanned in logistics center, and order information is passed to data center；The RFID tag of items scanning, by commodity
Type, volume, weight, dispatching destination, urgent degree upload to data center, to the history allocation data of each dispatching substation
It is excavated, goods matching into suitable dispatching substation；Cloud platform obtains the data of logistics distribution substation, and such as dispatching is ordered
Singular amount, the target position of order, dispatching radius.
S3：Cloud platform, will be in goods matching to suitable dispatching substation according to dispatching substation information and order information；
S4：Commodity in dispatching circle are divided into several order subclass using k-means clustering algorithm by cloud platform；According to cargo
The information such as transport duration, cargo priority, Customer Location needed for type, commodity will dispense substation by k-means clustering algorithm
In commodity be divided into several order subclass, the commodity of same order subclass are dispensed in same train number.
S5：Control centre calculates the distribution route of each dispatching substation and the successive clothes of client using discrete particle cluster algorithm
Business sequence；Referring to FIG. 4, specifically including following steps：
S5.1：Input Customer Location, order and traffic information；
S5.2：Initialization population；
S5.3：Calculate fitness；
S5.4：More new individual optimal value and global optimum；
S5.5：Individual position and speed in Population Regeneration；
S5.6：Judge whether to meet stop condition；As a result to be to enter step S5.7, result is otherwise to enter step S5.3；
S5.7：Obtain optimal solution；
S5.8：Export optimal scheduling scheme.
Information of the control centre according to distribution capacity and dispatching list from each dispatching substation, the vehicle including dispensing substation
Number, employee attendance's number, commodity amount, Customer Location, Time priority dispense it by using discrete particle cluster algorithm
Route optimizes, and then calculated result is issued in corresponding dispatching substation, dispenses substation according to scheduled travel route
Vehicle, personnel is arranged to send with charge free with the successive service order of client.
S6：Dispatching substation arranges vehicle and personnel to dispense；It is fed back according to distribution vehicle GPS positioning terminal control centre
Information real time monitoring vehicle specific location, can be estimated according to current speed, handover time of cargo etc. and not yet be dispensed
Customer service hours, when a certain vehicle a certain place residence time be more than certain threshold value when, car-mounted terminal will be sent out automatically
Send warning message to control centre, control centre estimates condition of road surface accordingly and corrects the travel route of distribution vehicle in real time.
S7：Data-evaluation condition of road surface that control centre is fed back according to vehicle termination and the traveling for correcting distribution vehicle in real time
Route；
S8：Client passes through WEB terminal, the end APP or the real-time position of Help by Phone current cargo and E.T.A；
S9：When distribution vehicle completes all dispatching tasks of the train number, dispatching substation is returned to, as candidate's fortune next time
Power.
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
Made any modifications, equivalent replacements, and improvements etc., should be included in the claims in the present invention within the spirit and principle of invention
Protection scope within.
Claims (5)
1. a kind of grand scale logistic allocator based on cloud platform, which is characterized in that include the following steps：
S1：Logistics distribution circle is divided, logistics distribution circle is using logistics center as core；
S2：Label is scanned in logistics center, and order information is passed to data center;
S3：Cloud platform, will be in goods matching to suitable dispatching substation according to dispatching substation information and order information；
S4：Commodity in dispatching circle are divided into several order subclass using k-means clustering algorithm by cloud platform；
S5：Cloud platform is suitable using the successively service that discrete particle cluster algorithm calculates each distribution route for dispensing substation and client
Sequence；
S6：Dispatching substation arranges vehicle and personnel to dispense；
S7：Data-evaluation condition of road surface that control centre is fed back according to vehicle termination and the traveling road for correcting distribution vehicle in real time
Line；
S8：The real-time position of customer inquiries current cargo and E.T.A；
S9：When distribution vehicle completes all dispatching tasks of the train number, dispatching substation is returned to, as candidate's fortune next time
Power.
2. a kind of grand scale logistic allocator based on cloud platform according to claim 1, which is characterized in that step S1
The logistics distribution circle is according to the radius size of dispatching circle, the size for dispensing substation transport power, the number of users of surrounding, order numbers
Amount, crowded degree, the ground economic level are divided.
3. a kind of grand scale logistic allocator based on cloud platform according to claim 1, which is characterized in that step S2
The label is RFID electronic label.
4. a kind of grand scale logistic allocator based on cloud platform according to claim 1, which is characterized in that step S5
Include the following steps：
S5.1：Input Customer Location, order and traffic information；
S5.2：Initialization population；
S5.3：Calculate fitness；
S5.4：More new individual optimal value and global optimum；
S5.5：Individual position and speed in Population Regeneration；
S5.6：Judge whether to meet stop condition；As a result to be to enter step S5.7, result is otherwise to enter step S5.3；
S5.7：Obtain optimal solution；
S5.8：Export optimal scheduling scheme.
5. a kind of grand scale logistic allocator based on cloud platform according to claim 1, which is characterized in that step S8
The real-time position of the inquiry current cargo includes passing through WEB terminal, the end APP or Help by Phone.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109872001A (en) * | 2019-02-28 | 2019-06-11 | 南京邮电大学 | Unmanned vehicle method for allocating tasks based on K-means and discrete particle cluster algorithm |
| CN111401606A (en) * | 2020-02-18 | 2020-07-10 | 沈阳工业大学 | Distribution method and distribution system combining commercial and residential complex building with intelligent distribution |
| CN111523918A (en) * | 2019-02-02 | 2020-08-11 | 北京极智嘉科技有限公司 | Commodity clustering method, commodity clustering device, commodity clustering equipment and storage medium |
| CN111882266A (en) * | 2020-07-09 | 2020-11-03 | 中国人民解放军海军工程大学 | Special material distribution system and distribution method |
| CN112085359A (en) * | 2020-08-27 | 2020-12-15 | 北京每日优鲜电子商务有限公司 | Information generation method and device, electronic equipment and computer readable medium |
| CN112801193A (en) * | 2021-02-03 | 2021-05-14 | 拉扎斯网络科技（上海）有限公司 | Positioning data processing method, positioning data processing device, electronic device, positioning data processing medium, and program product |
| CN113256203A (en) * | 2021-05-14 | 2021-08-13 | 海盐顺顺运输有限公司 | Commodity transportation system based on Internet of things |
| CN116562598A (en) * | 2023-07-07 | 2023-08-08 | 成都花娃网络科技有限公司 | Distribution scheduling method, device and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103699982A (en) * | 2013-12-26 | 2014-04-02 | 浙江工业大学 | Logistics distribution control method with soft time windows |
| CN104951850A (en) * | 2015-06-25 | 2015-09-30 | 广东工业大学 | Method for solving multiple-depot logistics transportation vehicle routing problem |
| CN105488750A (en) * | 2015-11-25 | 2016-04-13 | 国家电网公司 | Intelligent logistics method and system |
-
2018
- 2018-05-31 CN CN201810553260.XA patent/CN108932598A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103699982A (en) * | 2013-12-26 | 2014-04-02 | 浙江工业大学 | Logistics distribution control method with soft time windows |
| CN104951850A (en) * | 2015-06-25 | 2015-09-30 | 广东工业大学 | Method for solving multiple-depot logistics transportation vehicle routing problem |
| CN105488750A (en) * | 2015-11-25 | 2016-04-13 | 国家电网公司 | Intelligent logistics method and system |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111523918B (en) * | 2019-02-02 | 2023-09-19 | 北京极智嘉科技股份有限公司 | Commodity clustering method, device, equipment and storage medium |
| CN111523918A (en) * | 2019-02-02 | 2020-08-11 | 北京极智嘉科技有限公司 | Commodity clustering method, commodity clustering device, commodity clustering equipment and storage medium |
| CN109872001B (en) * | 2019-02-28 | 2021-03-19 | 南京邮电大学 | Unmanned vehicle task allocation method based on K-means and discrete particle swarm algorithm |
| CN109872001A (en) * | 2019-02-28 | 2019-06-11 | 南京邮电大学 | Unmanned vehicle method for allocating tasks based on K-means and discrete particle cluster algorithm |
| CN111401606A (en) * | 2020-02-18 | 2020-07-10 | 沈阳工业大学 | Distribution method and distribution system combining commercial and residential complex building with intelligent distribution |
| CN111401606B (en) * | 2020-02-18 | 2024-01-26 | 沈阳工业大学 | Distribution method and distribution system for combining business-living complex building with intelligent distribution |
| CN111882266A (en) * | 2020-07-09 | 2020-11-03 | 中国人民解放军海军工程大学 | Special material distribution system and distribution method |
| CN112085359A (en) * | 2020-08-27 | 2020-12-15 | 北京每日优鲜电子商务有限公司 | Information generation method and device, electronic equipment and computer readable medium |
| CN112801193A (en) * | 2021-02-03 | 2021-05-14 | 拉扎斯网络科技（上海）有限公司 | Positioning data processing method, positioning data processing device, electronic device, positioning data processing medium, and program product |
| CN113256203B (en) * | 2021-05-14 | 2022-11-08 | 上海赢他网络科技有限公司 | Commodity transportation system based on Internet of things |
| CN113256203A (en) * | 2021-05-14 | 2021-08-13 | 海盐顺顺运输有限公司 | Commodity transportation system based on Internet of things |
| CN116562598A (en) * | 2023-07-07 | 2023-08-08 | 成都花娃网络科技有限公司 | Distribution scheduling method, device and storage medium |
| CN116562598B (en) * | 2023-07-07 | 2023-09-19 | 成都花娃网络科技有限公司 | Distribution scheduling method, device and storage medium |
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