CN109872107A - Picking method for optimizing route and system - Google Patents
Picking method for optimizing route and system Download PDFInfo
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- CN109872107A CN109872107A CN201910122625.8A CN201910122625A CN109872107A CN 109872107 A CN109872107 A CN 109872107A CN 201910122625 A CN201910122625 A CN 201910122625A CN 109872107 A CN109872107 A CN 109872107A
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Abstract
The invention discloses a kind of picking method for optimizing route and systems, wherein method includes the following steps: S1: multiple orders are obtained from order database；S2: obtaining the attribute information of the cargo on multiple orders, and according to the attribute information got is divided into the cargo on order different classes of；S3: the location information of the cargo on multiple orders is obtained；S4: warehouse cartographic information is obtained；S5: same category of cargo is divided into identical picking device, and generates the first picking path according to the location information of acquired cargo and warehouse cartographic information, and picking device carries out picking according to the first picking generated path.The invention has the beneficial effects that the picking path differentiation classification of cargo that the picking method for optimizing route provided generates, the cargo of the same category is put together and is picked, avoid the cargo for some classifications need constantly to adjust its or device in position and delay.
Description
Technical field
The present invention relates to a kind of picking method for optimizing route and systems.
Background technique
In the 21st century, internet obtains more widely developing, and e-commerce website comes into being, along with being big
Type, the construction of warehouse of ultra-large type and use.And daily a large amount of order, for picking up goods with being stored in for a large-scale warehouse
Method become processing order, deliver speed key.It is whether scientific, whether efficient to pick up pallet piling up method, by strong influence storehouse
The service efficiency in library and the speed of shipment.
The prior art generally passes through algorithmic approach, by the way that shelf all in warehouse are numbered, records each restocking
Cargo number to confirm position of the restocking cargo in warehouse, use the commodity position that picking coordinates measurement algorithm is single to set
It sets and is calculated, generate most short picking path.The shortcomings that generating picking path using existing method is not taken into account that according to commodity
Itself it is peculiar because usually adjust picking sequence, wherein peculiar factor be goods themselves pressure-resistant degree etc..Such as algorithm calculates
The path for first picking certain fragile goods out is most short, but first picks fragile goods and need subsequent adjustment product locations to top, to prevent from squeezing
Pressure causes cargo to damage, and due to the step of increasing adjustment, reduces picking efficiency.
In order to further save human cost, accelerates the picking time, need the goods sorting method and system of a kind of optimization.
Summary of the invention
To solve the deficiencies in the prior art, the present invention provides a kind of picking path optimization sides that can solve the above problem
Method and system.
In order to achieve the above objectives, the present invention adopts the following technical scheme that:
A kind of picking method for optimizing route comprising the steps of:
S1: multiple orders are obtained from order database；
S2: obtaining the attribute information of the cargo on multiple orders, and according to the attribute information got by the goods on order
Object is divided into different classes of；
S3: the location information of the cargo on multiple orders is obtained；
S4: warehouse cartographic information is obtained；
S5: same category of cargo is divided into identical picking device, and is believed according to the position of acquired cargo
Breath and warehouse cartographic information generate the first picking path, and picking device carries out picking according to the first picking generated path.
Further, for S1: multiple orders are obtained from order database, method particularly includes:
From the order obtained in order database in predetermined amount of time.
Further, for S2: obtaining the attribute information of the cargo on multiple orders, and according to the attribute information got
Cargo on order is divided into it is different classes of, method particularly includes:
Attribute information is the load-bearing grade of cargo；
The load-bearing grade of the cargo on multiple orders is obtained, and is drawn the cargo on order according to the load-bearing grade got
It is divided into different classes of.
Further, for S2: obtaining the load-bearing grade of the cargo on multiple orders, and according to the load-bearing grade got
Cargo on order is divided into it is different classes of, method particularly includes:
Load-bearing grade includes: stackable and not stackable；
The cargo on order is divided into stackable class and not stackable class according to the load-bearing grade got.
Further, the quantity for counting not stackable class cargo, when the quantity of not stackable class cargo is less than or equal to first
When preset threshold, it will be removed comprising the order of not stackable class cargo.
Further, the order comprising not stackable class cargo being removed is labeled: is removed number and adds 1；
When counting order next time and carrying out picking, the order comprising not stackable class cargo being removed is added to
In statistics.
Further, it is preset when the order comprising not stackable class cargo being removed is removed number more than or equal to second
When threshold value, the order comprising not stackable class cargo being removed is labeled: can not be removed.
Further, for S5: same category of cargo being divided into identical picking device, and according to acquired
The location information and warehouse cartographic information of cargo generate the first picking path, and picking device is according to the first picking generated path
Picking is carried out, further are as follows:
Same category of cargo is divided into identical picking device, and according to the location information of acquired cargo and
Warehouse cartographic information generates the first picking path；
The second picking path is generated according to the location information of the cargo of acquisition and warehouse cartographic information；
The first picking path and the second picking path are compared, when the first picking path is longer than the second picking path, is picked
Goods device carries out picking according to the second picking generated path.
A kind of system of picking path optimization, characterized by comprising:
Order memory module, for storing the order comprising goods information；
Data obtaining module for obtaining attribute information, the location information of cargo from order, and obtains the map in warehouse
Information；
The attribute information of categorization module, the cargo for being got according to data obtaining module divides the cargo on order
At different classes of；
Same category of cargo is divided into identical picking device by path-generating module, and according to acquisition of information mould
The location information and warehouse cartographic information of cargo acquired in block generate the first picking path.
Further, the system of picking path optimization also includes:
Comparison module, the quantity of the cargo for a certain classification in counting different classes of, and work as the other cargo of the one kind
Quantity be less than or equal to the first preset threshold when, will include the order of the other cargo of one kind removal.
The invention has the beneficial effects that the picking path differentiation cargo that the picking method for optimizing route provided generates
The cargo of the same category is put together and is picked by classification, avoid the cargo for some classifications need constantly to adjust its or dress
Position in setting and delay.
Detailed description of the invention
Fig. 1 is the schematic diagram of picking method for optimizing route of the invention；
Fig. 2 is the schematic diagram of the system of picking path optimization of the invention.
Specific embodiment
Specific introduce is made to the present invention below in conjunction with the drawings and specific embodiments.
As shown in Figure 1, a kind of picking method for optimizing route, the method includes the steps of: S1: obtaining from order database
Take multiple orders.S2: the attribute information of the cargo on multiple orders is obtained, and will be on order according to the attribute information got
Cargo is divided into different classes of.S3: the location information of the cargo on multiple orders is obtained.S4: warehouse cartographic information is obtained.S5:
Same category of cargo is divided into identical picking device, and according to the location information of acquired cargo and warehouse map
Information generates the first picking path, and picking device carries out picking according to the first picking generated path.
Specifically, this method is main are as follows: obtain multiple orders from order database first, then obtain the goods on order
The attribute information of object, the general attribute information have been marked when order generates, further according to the attribute information got by order
On cargo be divided into it is different classes of.Then it obtains the location information of the cargo on order and obtains warehouse cartographic information and be used for
Rear path generation.Different and traditional technology will belong to same category of cargo and be divided into identical picking in the present invention
In device, i.e., each picking device can only pick the other cargo of one species, avoid certain cargos from needing to adjust it and fill in picking
Position in setting, or be specially put into and finally pick thus can to allow certain cargos to be located at the top of picking device stacking
Extend picking path caused by energy.
As a preferred embodiment, for S1: obtaining multiple orders, specific method from order database
Are as follows: from the order obtained in order database in predetermined amount of time.
The period generated according to order is needed to pick respectively specifically, generally picking cargo, which is generally 2-
12 hours, preferably 3 hours
As a preferred embodiment, for S2: obtaining the attribute information of the cargo on multiple orders, and according to obtaining
The attribute information got the cargo on order is divided into it is different classes of, method particularly includes: attribute information be cargo load-bearing
Grade.The load-bearing grade of the cargo on multiple orders is obtained, and is divided the cargo on order according to the load-bearing grade got
At different classes of.
As a preferred embodiment, for S2: obtaining the load-bearing grade of the cargo on multiple orders, and according to obtaining
The load-bearing grade got the cargo on order is divided into it is different classes of, method particularly includes: load-bearing grade includes: it is stackable and
It is not stackable.The cargo on order is divided into stackable class and not stackable class according to the load-bearing grade got.
Specifically, the attribute information of cargo generally illustrates whether the cargo can be stacked thereon by other cargos, it is right
In some fragile or frangible cargos, in order to keep the intact of cargo, need to avoid bearing to stack more cargos thereon, therefore
The cargo damage to avoid the later period is distinguish while generating order using the attribute as the cargo attribute information on order.
As an alternative embodiment, load-bearing grade can be divided into more multi-grade according to the actual situation, such as
Then the cargo of the range of different receiving weight is divided into different brackets by the weight that can specifically bear.
As a preferred embodiment, the quantity of the not stackable class cargo of statistics, when the number of not stackable class cargo
When amount is less than or equal to the first preset threshold, it will be removed comprising the order of not stackable class cargo.
Specifically, the quantity of not stackable cargo may be fewer in practical picking, gone with individual picking device
Picking these not stackable cargos will cause the wasting of resources, therefore, when the quantity of not stackable cargo is lacked to a certain extent,
Order comprising not stackable class cargo can be gone to pick divided by the picking period being put into next time.First preset threshold
It generally can be set to 2 to 10, it is preferred that can be set to 5.
As a preferred embodiment, being labeled to the order comprising not stackable class cargo being removed: quilt
Removal number adds 1.When counting order next time and carrying out picking, the order comprising not stackable class cargo being removed is added
It is added in statistics.
Specifically, being labeled to the order comprising not stackable class cargo being removed: it is removed number and adds 1, with
This is distinguish.
As a preferred embodiment, when to be removed number big for the order comprising not stackable class cargo that be removed
When being equal to the second preset threshold, the order comprising not stackable class cargo being removed is labeled: can not be removed.
Specifically, in order to avoid some order causes long-time not processed because of being removed always, when some is ordered
When being singly removed excessive, which is labeled as to be removed, that is, even if the quantity for counting not stackable cargo is less than
When equal to the first preset threshold, it can not will also be removed comprising the order of not stackable class cargo.
As a preferred embodiment, being picked to different types of cargo using the picking device of different model.
Specifically, picking device in view of needing to pick more cargo, generally requires do bigger and meets larger
Bearing capacity, but for not stackable class cargo, picking device is generally not necessarily to too big bearing capacity without stacking,
Therefore smaller picking device can be launched to reduce cost for not stackable class cargo.Meanwhile smaller picking device
Also imply that more flexible, picking speed is faster.
As a preferred embodiment, for S5: same category of cargo is divided into identical picking device,
And the first picking path is generated according to the location information of acquired cargo and warehouse cartographic information, picking device is according to being generated
The first picking path carry out picking, further are as follows: same category of cargo is divided into identical picking device, and root
The first picking path is generated according to the location information and warehouse cartographic information of acquired cargo.Believed according to the position of the cargo of acquisition
Breath and warehouse cartographic information generate the second picking path.The first picking path and the second picking path are compared, when the first picking road
When diameter is longer than the second picking path, picking device carries out picking according to the second picking generated path.
It is to improve working efficiency specifically, distinguishing the purpose that different classes of cargo generates the first picking path, but
It is, when in some cases, since type the putting on shelf of the cargo on inventory just makes even if not sub-category mixed
Conjunction picks when also can guarantee higher working efficiency or even efficiency is compared to when picking more efficient of type is distinguished, then preferred mixing
It picks.
As shown in Fig. 2, the invention also discloses a kind of systems of picking path optimization, characterized by comprising: order is deposited
Store up module 1, data obtaining module 2, categorization module 3 and path-generating module 4.
Specifically, order memory module 1 is for storing the order comprising goods information, it is above-mentioned order in the present invention
Database.Data obtaining module 2 obtains the map in warehouse for obtaining attribute information, the location information of cargo from order
Information.Cargo on order is divided by the attribute information for the cargo that categorization module 3 is used to be got according to data obtaining module
It is different classes of.Same category of cargo is divided into identical picking device by path-generating module 4, and according to acquisition of information mould
The location information and warehouse cartographic information of cargo acquired in block generate the first picking path.
As a preferred embodiment, the system of picking path optimization also includes: comparison module 5, for counting not
The quantity of the cargo of a certain classification in generic, and when the quantity of the other cargo of the one kind is less than or equal to the first preset threshold
When, it will be removed comprising the order of the other cargo of the one kind.
As a preferred embodiment, the system of picking path optimization also includes: mark module 6, to what is be removed
The order comprising the other cargo of the one kind is marked.
The basic principles, main features and advantages of the invention have been shown and described above.The technical staff of the industry should
Understand, the above embodiments do not limit the invention in any form, all obtained by the way of equivalent substitution or equivalent transformation
Technical solution is fallen within the scope of protection of the present invention.
Claims (10)
1. a kind of picking method for optimizing route, which is characterized in that comprise the steps of:
S1: multiple orders are obtained from order database；
S2: the attribute information of the cargo on multiple orders is obtained, and is ordered according to the attribute information got by described
Cargo on list is divided into different classes of；
S3: the location information of the cargo on multiple orders is obtained；
S4: warehouse cartographic information is obtained；
S5: same category of cargo is divided into identical picking device, and according to the location information of acquired cargo and
Warehouse cartographic information generates the first picking path, and the picking device is picked according to first picking path generated
Goods.
2. picking method for optimizing route according to claim 1, which is characterized in that
For S1: multiple orders are obtained from order database, method particularly includes:
From the order obtained in order database in predetermined amount of time.
3. picking method for optimizing route according to claim 2, which is characterized in that
For S2: obtaining the attribute information of the cargo on multiple orders, and ordered according to the attribute information got by described
Cargo on list be divided into it is different classes of, method particularly includes:
The attribute information is the load-bearing grade of cargo；
The load-bearing grade of the cargo on multiple orders is obtained, and will be on the order according to the load-bearing grade got
Cargo be divided into it is different classes of.
4. picking method for optimizing route according to claim 3, which is characterized in that
For S2: obtaining the load-bearing grade of the cargo on multiple orders, and according to the load-bearing grade got by institute
State the cargo on order be divided into it is different classes of, method particularly includes:
The load-bearing grade includes: stackable and not stackable；
The cargo on the order is divided into stackable class and not stackable class according to the load-bearing grade got.
5. picking method for optimizing route according to claim 4, which is characterized in that
The quantity for counting not stackable class cargo will when the quantity of not stackable class cargo is less than or equal to the first preset threshold
Order removal comprising not stackable class cargo.
6. picking method for optimizing route according to claim 5, which is characterized in that
The order comprising not stackable class cargo being removed is labeled: being removed number and adds 1；
When counting the order next time and carrying out picking, the order comprising not stackable class cargo being removed is added
It is added in statistics.
7. picking method for optimizing route according to claim 6, which is characterized in that
It is right when the order comprising not stackable class cargo being removed is removed number more than or equal to the second preset threshold
The order comprising not stackable class cargo being removed is labeled: can not be removed.
8. picking method for optimizing route according to claim 7, which is characterized in that
For S5: same category of cargo being divided into identical picking device, and is believed according to the position of acquired cargo
Breath and warehouse cartographic information generate the first picking path, and the picking device is carried out according to first picking path generated
Picking, further are as follows:
Same category of cargo is divided into identical picking device, and according to the location information and warehouse of acquired cargo
Cartographic information generates the first picking path；
The second picking path is generated according to the location information of the cargo of acquisition and warehouse cartographic information；
First picking path and second picking path are compared, when first picking path is than second picking road
When diameter is longer, the picking device carries out picking according to second picking path generated.
9. a kind of system of picking path optimization, characterized by comprising:
Order memory module, for storing the order comprising goods information；
Data obtaining module for obtaining attribute information, the location information of cargo from the order, and obtains the map in warehouse
Information；
Categorization module, the attribute information of the cargo for being got according to the data obtaining module is by the cargo on the order
It is divided into different classes of；
Same category of cargo is divided into identical picking device by path-generating module, and according to the acquisition of information mould
The location information and warehouse cartographic information of cargo acquired in block generate the first picking path.
10. the system of picking path optimization according to claim 9, which is characterized in that
The system of the picking path optimization also includes:
Comparison module, the quantity of the cargo for a certain classification in counting different classes of, and work as the number of the other cargo of the one kind
When amount is less than or equal to the first preset threshold, it will be removed comprising the order of the other cargo of the one kind.
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| CN201910122625.8A CN109872107A (en) | 2019-02-19 | 2019-02-19 | Picking method for optimizing route and system |
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| CN201910122625.8A CN109872107A (en) | 2019-02-19 | 2019-02-19 | Picking method for optimizing route and system |
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Cited By (11)
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| CN110639818A (en) * | 2019-08-15 | 2020-01-03 | 浙江国自机器人技术有限公司 | Goods picking method and device for logistics storage, computer equipment and storage medium |
| CN110675101A (en) * | 2019-08-15 | 2020-01-10 | 浙江国自机器人技术有限公司 | Order sorting method and device, computer equipment and storage medium |
| CN111369189A (en) * | 2020-02-28 | 2020-07-03 | 北京三快在线科技有限公司 | Method and device for generating picking task, storage medium and electronic equipment |
| CN111428925A (en) * | 2020-03-20 | 2020-07-17 | 北京百度网讯科技有限公司 | Method and device for determining distribution route |
| CN112295928A (en) * | 2020-08-31 | 2021-02-02 | 北京京东振世信息技术有限公司 | Goods picking method, system, device, electronic equipment and readable storage medium |
| CN112836986A (en) * | 2021-02-26 | 2021-05-25 | 珠海格力电器股份有限公司 | Resource picking method and device, electronic equipment and storage medium |
| WO2021143510A1 (en) * | 2020-01-16 | 2021-07-22 | 北京京东振世信息技术有限公司 | Task determination method and device |
| CN113706064A (en) * | 2020-05-21 | 2021-11-26 | 北京京东振世信息技术有限公司 | Order processing method and device |
| CN114391001A (en) * | 2019-08-02 | 2022-04-22 | 派克赛泽有限责任公司 | Dynamic cart optimization system |
| CN114418707A (en) * | 2022-03-31 | 2022-04-29 | 山东西曼克技术有限公司 | Four-way shuttle vehicle path navigation method and system |
| US12006151B2 (en) | 2022-09-07 | 2024-06-11 | Packsize Llc | Dynamic cart optimization system |
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| CN113706064A (en) * | 2020-05-21 | 2021-11-26 | 北京京东振世信息技术有限公司 | Order processing method and device |
| CN112295928A (en) * | 2020-08-31 | 2021-02-02 | 北京京东振世信息技术有限公司 | Goods picking method, system, device, electronic equipment and readable storage medium |
| CN112295928B (en) * | 2020-08-31 | 2022-07-05 | 北京京东振世信息技术有限公司 | Goods picking method, system, device, electronic equipment and readable storage medium |
| CN112836986A (en) * | 2021-02-26 | 2021-05-25 | 珠海格力电器股份有限公司 | Resource picking method and device, electronic equipment and storage medium |
| CN114418707A (en) * | 2022-03-31 | 2022-04-29 | 山东西曼克技术有限公司 | Four-way shuttle vehicle path navigation method and system |
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Application publication date: 20190611 |