CN109359905A - A kind of automation unmanned storehouse goods yard distribution method, device and storage medium - Google Patents
A kind of automation unmanned storehouse goods yard distribution method, device and storage medium Download PDFInfo
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Abstract
The present invention relates to a kind of automation unmanned storehouse goods yard distribution method, device and storage mediums.This method comprises: step 1, the COI value of kinds of goods and the unmanned vehicle for transporting kinds of goods determine first object majorized function according to the COI value of the kinds of goods and the runing time respectively to the runing time of all shelf from storage place out on all shelf in the unmanned storehouse of acquisition automation；Step 2, History Order information is obtained, determines the second objective optimization function according to the Euclidean distances between the kinds of goods of different shelf a plurality of in the History Order information；Step 3, goods yard allocation plan is determined according to the first object majorized function and the second objective optimization function；Step 4, the goods yard allocation plan is exported.The overall operation efficiency for automating unmanned storehouse can be improved in technical solution of the present invention, and avoids the corresponding wasting of resources.
Description
Technical field
The present invention relates to unmanned warehouse technical fields, and in particular to a kind of automation unmanned storehouse goods yard distribution method, device
And storage medium.
Background technique
With the continuous development of electric business, to kinds of goods dispatching, more stringent requirements are proposed, also therefore occurs in recent years automatic
Change unmanned storehouse.In automating unmanned storehouse, different kinds of goods are placed on different shelf, after being connected to order information, nobody
Vehicle, or perhaps AGV will drive towards automatically corresponding goods yard, after completing picking and kinds of goods are placed on vehicle body pallet, take kinds of goods
It returns out and is put in storage place.But if goods yard unreasonable distribution, that is, corresponding kinds of goods do not appear on suitable shelf,
The working efficiency that will lead to unmanned vehicle reduces, and then the operational efficiency in entire unmanned storehouse is caused to reduce.And current goods yard distribution
Mainly by artificial random progress, it is lower to cause the efficiency of the unmanned storehouse of automation in the process of running, and there are certain moneys
Source wastes situation.
Summary of the invention
In view of the deficiencies of the prior art, the present invention provides a kind of automation unmanned storehouse goods yard distribution method, device and storage
Medium.
In a first aspect, the present invention provides a kind of automation unmanned storehouse goods yard distribution methods, this method comprises:
Step 1, it obtains and automates in unmanned storehouse the COI value of kinds of goods and the unmanned vehicle for transporting kinds of goods on all shelf
From storage place is gone out respectively to the runing time of all shelf, the is determined according to the COI value of the kinds of goods and the runing time
One objective optimization function.
Step 2, History Order information is obtained, according to a plurality of between the kinds of goods of different shelf in the History Order information
Euclidean distance determine the second objective optimization function.
Step 3, goods yard allocation plan is determined according to the first object majorized function and the second objective optimization function.
Step 4, the goods yard allocation plan is exported.
Second aspect, the present invention provides a kind of automation unmanned storehouse goods yard distributor, which includes:
First processing module automates in unmanned storehouse on all shelf the COI value of kinds of goods and for transporting for obtaining
The unmanned vehicle of kinds of goods is from storage place is respectively to the runing time of all shelf out, according to the COI value and the fortune of the kinds of goods
The row time determines first object majorized function.
Second processing module is located at difference according to a plurality of in the History Order information for obtaining History Order information
Euclidean distance between the kinds of goods of shelf determines the second objective optimization function.
Third processing module, for determining goods according to the first object majorized function and the second objective optimization function
Bit allocation scheme.
Output module, for exporting the goods yard allocation plan.
The third aspect, the present invention provides a kind of automation unmanned storehouse goods yard distributor, the device include memory and
Processor；The memory, for storing computer program；The processor is used for when loaded and executed, real
Unmanned storehouse goods yard distribution method is now automated as described above.
Fourth aspect is stored with computer on the storage medium the present invention provides a kind of computer readable storage medium
Program, when the computer program is executed by processor, realization automates unmanned storehouse goods yard distribution method as described above.
Automation unmanned storehouse goods yard distribution method provided by the invention, the beneficial effect of device and storage medium be, can be from
It automates and calls relevant historical data in the warehouse management system database in unmanned storehouse, kinds of goods on all shelf in acquisition storehouse
COI value, that is, order bulk index (Cube-Per-Order Index) and unmanned vehicle run to different shelf when
Between, and first object majorized function is determined based on above two parameter, to optimize the total run time of unmanned vehicle.At the same time,
Due to generally including a variety of merchandise newss, that is, SKU (Stock Keeping Unit, quantity in stock list in an order information
Position), different commodity can be located on different shelf, the second objective optimization function is determined by the Euclidean distance between each commodity, with
Optimize total range ability of unmanned vehicle.Future can be being distributed by first object majorized function and the second objective optimization function
When kinds of goods goods yard, the unmanned vehicle in storehouse for picking is made to take into account time factor and distance factor at runtime, that is, energy consumption because
Element, and then the overall operation efficiency for automating unmanned storehouse is improved, and avoid the corresponding wasting of resources.
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 this hair
Bright some embodiments for those of ordinary skill in the art without any creative labor, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of flow diagram of the unmanned storehouse goods yard distribution method of automation of the embodiment of the present invention；
Fig. 2 is a kind of structural block diagram of the unmanned storehouse goods yard distributor of automation of the embodiment of the present invention.
Specific embodiment
The principle and features of the present invention will be described below with reference to the accompanying drawings, and the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the invention.
As shown in Figure 1, a kind of unmanned storehouse goods yard distribution method of automation of the embodiment of the present invention includes:
Step 1, it obtains and automates in unmanned storehouse the COI value of kinds of goods and the unmanned vehicle for transporting kinds of goods on all shelf
From storage place is gone out respectively to the runing time of all shelf, the is determined according to the COI value of the kinds of goods and the runing time
One objective optimization function.
Step 2, History Order information is obtained, according to a plurality of between the kinds of goods of different shelf in the History Order information
Euclidean distance determine the second objective optimization function.
Step 3, goods yard allocation plan is determined according to the first object majorized function and the second objective optimization function.
Step 4, the goods yard allocation plan is exported.
In the present embodiment, relevant historical data can be called from the warehouse management system database for automating unmanned storehouse,
Obtain the COI value of kinds of goods on all shelf in storehouse, that is, order bulk index (Cube-Per-Order Index), Yi Jiwu
People's vehicle was run to the time of different shelf, and determined first object majorized function based on above two parameter, to optimize unmanned vehicle
Total run time.At the same time, due to generally including a variety of merchandise newss, that is, SKU (Stock in an order information
Keeping Unit, keeper unit), different commodity can be located on different shelf, true by the Euclidean distance between each commodity
Fixed second objective optimization function, to optimize total range ability of unmanned vehicle.It is excellent by first object majorized function and the second target
Change function can distribute future kinds of goods goods yard when, make in the storehouse in for picking unmanned vehicle take into account at runtime time factor and
Distance factor, that is, Energy Consumption Factors, and then the overall operation efficiency for automating unmanned storehouse is improved, and avoid corresponding resource wave
Take.
It preferably, include total I row, J column shelf in the unmanned storehouse of automation.
The planar structure for usually automating unmanned storehouse is all rectangle, so often discharging shelf for I by array format
The form of row J column, wherein any line number can be represented with i, j represents any columns.
The specific implementation of the step 1 includes:
The COI value of the kinds of goods is determined according to the first formula.
First formula are as follows: COIij=Cij/fij。
Wherein, COIijIndicate the COI value of the kinds of goods positioned at the i-th row, on jth column shelf, CijIt indicates to be located at the i-th row, jth
Inventory limitation needed for the storage total amount of kinds of goods on column shelf, fijIndicate going out for the kinds of goods positioned at the i-th row, on jth column shelf
Library frequency, i ∈ { 1 ..., I }, j ∈ { 1 ..., J }.
The ratio that can reflect maximum the library amount and its turnover rate of certain kinds of goods by the COI value that the first formula obtains,
The sorting time that kinds of goods can be reduced during optimization to a certain extent, improve the execution efficiency in warehouse.
The first object majorized function is determined according to the second formula.
Second formula are as follows: Q=tij×COIij。
Wherein, tijIndicate unmanned vehicle from storage place is gone out to the runing time for being located at the i-th row, jth column shelf.
Since the value of i, j are decided by total line number I and total columns J, then Q is the array with I × J element.And by
In Q be kinds of goods COI value and unmanned vehicle runing time product, therefore its can reflect kinds of goods sorting efficiency and unmanned vehicle operation when
Between.
Preferably, the History Order information includes n kind kinds of goods.
Since there are the rule of quota packet postal, most consumers often choose simultaneously when same electric business platform is done shopping
It would generally include a variety of kinds of goods, that is, multiple SKU in a variety of kinds of goods, that is, an order.
The specific implementation of the step 2 includes:
The second objective optimization function is determined according to third formula.
The third formula are as follows: L=∑G, z ∈ nlG, z。
Wherein, lG, zIndicate the Euclidean distance in n kind kinds of goods between any two kinds of kinds of goods.
Due to including n kind kinds of goods, that is, n SKU in order, can enable it is respectively SKU1, SKU2,…,SKUn, each
A SKU may be not on same shelf.That is, in order to disposably take the kinds of goods in same order, unmanned vehicle can
It can need to move between multiple shelf.Since identical kinds of goods may be placed on different shelf, in order to reduce the total of unmanned vehicle
Range ability, the constraint for keeping total Euclidean distance in order between each kinds of goods mobile as unmanned vehicle by the second objective optimization function
Condition, can reduce total range ability of unmanned vehicle, that is, can reduce corresponding total energy consumption, avoid the unnecessary wasting of resources.
Preferably, the specific implementation of the step 3 includes:
Sequence arranges I × J Q value in the first object majorized function by size, from small to large by Q value
Sequence, which distributes the corresponding kinds of goods of Q value to distance, goes out the goods yard of storage place from the near to the distant.
When occur do not go together, the situation that the corresponding Q value of the kinds of goods on different lines shelf is identical when, it is excellent by second target
Change the sequence of L value from small to large in function to distribute the identical multiple kinds of goods of Q value to apart from the goods of storage place from the near to the distant out
Position.
Since Q includes I × J element, it is based on first object majorized function, to each element, that is, multiple Q values are by size
Sequence is arranged, and value is smaller, illustrates that kinds of goods sort the time and the comprehensive value of unmanned vehicle runing time is smaller, and value is small
The corresponding kinds of goods of Q value distribute to distance to go out on the close shelf in storage place.It can make nobody under new goods yard allocation plan
Vehicle total run time reduces to the greatest extent, and takes into account the sorting time of corresponding kinds of goods, improves the overall operation efficiency for automating unmanned storehouse.
If there is multiple identical Q values, it can be based on the second objective optimization function, kinds of goods corresponding for identical Q value, than
Such distribution side is illustrated if Euclidean distance is minimum between total Euclidean distance each kinds of goods in the order including these kinds of goods
The range ability of unmanned vehicle also will be minimum under case, distributes to optional distance by minimum total corresponding kinds of goods of Euclidean distance at this time
It is put in storage on the nearest shelf in place.Such allocation plan can take into account total run time and distance of the unmanned vehicle in picking,
The overall operation efficiency for automating unmanned storehouse is effectively improved, and reduces unnecessary energy consumption.
As shown in Fig. 2, a kind of unmanned storehouse goods yard distributor of automation of the embodiment of the present invention includes:
First processing module automates in unmanned storehouse on all shelf the COI value of kinds of goods and for transporting for obtaining
The unmanned vehicle of kinds of goods is from storage place is respectively to the runing time of all shelf out, according to the COI value and the fortune of the kinds of goods
The row time determines first object majorized function.
Second processing module is located at difference according to a plurality of in the History Order information for obtaining History Order information
Euclidean distance between the kinds of goods of shelf determines the second objective optimization function.
Third processing module, for determining goods according to the first object majorized function and the second objective optimization function
Bit allocation scheme.
Output module, for exporting the goods yard allocation plan.
Preferably, include total I row, J column shelf in the unmanned storehouse of automation, the first processing module is specifically used for:
The COI value of the kinds of goods is determined according to the first formula.
First formula are as follows: COIij=Cij/fij。
Wherein, COIijIndicate the COI value of the kinds of goods positioned at the i-th row, on jth column shelf, CijIt indicates to be located at the i-th row, jth
Inventory limitation needed for the storage total amount of kinds of goods on column shelf, fijIndicate going out for the kinds of goods positioned at the i-th row, on jth column shelf
Library frequency, i ∈ { 1 ..., I }, j ∈ { 1 ..., J }.
The first object majorized function is determined according to the second formula.
Second formula are as follows: Q=tij×COIij。
Wherein, tijIndicate unmanned vehicle from storage place is gone out to the runing time for being located at the i-th row, jth column shelf.
Preferably, the History Order information includes n kind kinds of goods, and the Second processing module is specifically used for:
The second objective optimization function is determined according to third formula.
The third formula are as follows: L=∑G, z ∈ nlG, z。
Wherein, lG, zIndicate the Euclidean distance in n kind kinds of goods between any two kinds of kinds of goods.
Preferably, the third processing module is specifically used for:
Sequence arranges I × J Q value in the first object majorized function by size, from small to large by Q value
Sequence, which distributes the corresponding kinds of goods of Q value to distance, goes out the goods yard of storage place from the near to the distant.
When occur do not go together, the situation that the corresponding Q value of the kinds of goods on different lines shelf is identical when, it is excellent by second target
Change the sequence of L value from small to large in function to distribute the identical multiple kinds of goods of Q value to apart from the goods of storage place from the near to the distant out
Position.
In an alternative embodiment of the invention, a kind of automation unmanned storehouse goods yard distributor includes memory and processor.
The memory, for storing computer program.The processor, it is as above for when loaded and executed, realizing
The unmanned storehouse goods yard distribution method of the automation.
In an alternative embodiment of the invention, it is stored with computer program on a kind of computer readable storage medium, when described
When computer program is executed by processor, realization automates unmanned storehouse goods yard distribution method as described above.
Reader should be understood that in the description of this specification reference term " one embodiment ", " is shown " some embodiments "
The description of example ", specific examples or " some examples " etc. mean specific features described in conjunction with this embodiment or example, structure,
Material or feature are included at least one embodiment or example of the invention.In the present specification, above-mentioned term is shown
The statement of meaning property need not be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described
It may be combined in any suitable manner in any one or more of the embodiments or examples.In addition, without conflicting with each other, this
The technical staff in field can be by the spy of different embodiments or examples described in this specification and different embodiments or examples
Sign is combined.
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 automation unmanned storehouse goods yard distribution method, which is characterized in that the described method includes:
Step 1, it obtains and automates in unmanned storehouse the COI value of kinds of goods on all shelf and the unmanned vehicle for transporting kinds of goods from going out
Place is put in storage respectively to the runing time of all shelf, and the first mesh is determined according to the COI value of the kinds of goods and the runing time
Mark majorized function；
Step 2, History Order information is obtained, according to the Europe between the kinds of goods of different shelf a plurality of in the History Order information
Formula distance determines the second objective optimization function；
Step 3, goods yard allocation plan is determined according to the first object majorized function and the second objective optimization function；
Step 4, the goods yard allocation plan is exported.
2. automation according to claim 1 unmanned storehouse goods yard distribution method, which is characterized in that the unmanned storehouse of automation
Interior includes total I row, J column shelf, and the specific implementation of the step 1 includes:
The COI value of the kinds of goods is determined according to the first formula,
First formula are as follows: COIij=Cij/fij,
Wherein, COIijIndicate the COI value of the kinds of goods positioned at the i-th row, on jth column shelf, CijIt indicates to be located at the i-th row, jth column shelf
On kinds of goods storage total amount needed for inventory limitation, fijIndicate the outbound frequency of the kinds of goods positioned at the i-th row, on jth column shelf,
I ∈ { 1 ..., I }, j ∈ { 1 ..., J }；
The first object majorized function is determined according to the second formula,
Second formula are as follows: Q=tij×COIij,
Wherein, tijIndicate unmanned vehicle from storage place is gone out to the runing time for being located at the i-th row, jth column shelf.
3. automation according to claim 2 unmanned storehouse goods yard distribution method, which is characterized in that the History Order information
Including n kind kinds of goods, the specific implementation of the step 2 includes:
The second objective optimization function is determined according to third formula,
The third formula are as follows: L=∑G, z ∈ nlG, z,
Wherein, lG, zIndicate the Euclidean distance in n kind kinds of goods between any two kinds of kinds of goods.
4. automation according to claim 3 unmanned storehouse goods yard distribution method, which is characterized in that the step 3 it is specific
Realization includes:
Sequence arranges I × J Q value in the first object majorized function by size, by the sequence of Q value from small to large
The corresponding kinds of goods of Q value are distributed to distance and go out the goods yard of storage place from the near to the distant；
When occur do not go together, the situation that the corresponding Q value of the kinds of goods on different lines shelf is identical when, by the second objective optimization letter
The sequence of L value from small to large, which distributes the identical multiple kinds of goods of Q value to distance, in number goes out the goods yard of storage place from the near to the distant.
5. a kind of automation unmanned storehouse goods yard distributor, which is characterized in that described device includes:
First processing module automates in unmanned storehouse on all shelf the COI value of kinds of goods and for transporting kinds of goods for obtaining
Unmanned vehicle from storage place is gone out respectively to the runing time of all shelf, when according to the COI value and the operation of the kinds of goods
Between determine first object majorized function；
Second processing module is located at different shelf according to a plurality of in the History Order information for obtaining History Order information
Kinds of goods between Euclidean distance determine the second objective optimization function；
Third processing module, for determining goods yard point according to the first object majorized function and the second objective optimization function
With scheme；
Output module, for exporting the goods yard allocation plan.
6. automation according to claim 5 unmanned storehouse goods yard distributor, which is characterized in that the unmanned storehouse of automation
Interior includes total I row, J column shelf, and the first processing module is specifically used for:
The COI value of the kinds of goods is determined according to the first formula,
First formula are as follows: COIij=Cij/fij,
Wherein, COIijIndicate the COI value of the kinds of goods positioned at the i-th row, on jth column shelf, CijIt indicates to be located at the i-th row, jth column shelf
On kinds of goods storage total amount needed for inventory limitation, fijIndicate the outbound frequency of the kinds of goods positioned at the i-th row, on jth column shelf,
I ∈ { 1 ..., I }, j ∈ { 1 ..., J }；
The first object majorized function is determined according to the second formula,
Second formula are as follows: Q=tij×COIij,
Wherein, tijIndicate unmanned vehicle from storage place is gone out to the runing time for being located at the i-th row, jth column shelf.
7. automation according to claim 6 unmanned storehouse goods yard distributor, which is characterized in that the History Order information
Including n kind kinds of goods, the Second processing module is specifically used for:
The second objective optimization function is determined according to third formula,
The third formula are as follows: L=∑G, z ∈ nlG, z,
Wherein, lG, zIndicate the Euclidean distance in n kind kinds of goods between any two kinds of kinds of goods.
8. automation according to claim 7 unmanned storehouse goods yard distributor, which is characterized in that the third processing module
It is specifically used for:
Sequence arranges I × J Q value in the first object majorized function by size, by the sequence of Q value from small to large
The corresponding kinds of goods of Q value are distributed to distance and go out the goods yard of storage place from the near to the distant；
When occur do not go together, the situation that the corresponding Q value of the kinds of goods on different lines shelf is identical when, by the second objective optimization letter
The sequence of L value from small to large, which distributes the identical multiple kinds of goods of Q value to distance, in number goes out the goods yard of storage place from the near to the distant.
9. a kind of automation unmanned storehouse goods yard distributor, which is characterized in that described device includes memory and processor；
The memory, for storing computer program；
The processor, for when loaded and executed, realizing as Claims 1-4 is described in any item automatic
Change unmanned storehouse goods yard distribution method.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer program on the storage medium, work as institute
When stating computer program and being executed by processor, realize such as the unmanned storehouse goods yards distribution of the described in any item automations of Claims 1-4
Method.
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