CN110223011A - Intelligent storage equipment scheduling method, system, storage medium and electronic equipment - Google Patents
Intelligent storage equipment scheduling method, system, storage medium and electronic equipment Download PDFInfo
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Abstract
The invention discloses a kind of intelligent storage equipment scheduling method, system, storage medium and electronic equipment, method includes: that the commodity shelf of corresponding types and quantity is configured according to outbound order；Calculate the similarity between different outbound orders；Similarity carries out wave to the commodity in commodity shelf and commodity shelf and summarizes；Optimal picking path is configured according to overall result, scheduling picking equipment executes outbound task.By being pre-processed to the outbound order from different electric business platforms, optimal picking path is selected for picking equipment, to which picking task precisely be performed quickly, storage smart machine can precisely, rapidly be dispatched by reaching effectively runs in warehouse, it realizes and machinery equipment is planned as a whole to dispatch, it completes to make an inventory, outbound, the goods that replenishes to people's high efficiency work, it is easy to implement whole system centralized control, it ensure that the accurate of work, storage operating cost is reduced, storage Logistics Operation efficiency is improved.
Description
Technical field
The present invention relates to logistic storage dispatching technique fields, specifically, being a kind of intelligent storage equipment scheduling method, being
System, storage medium and electronic equipment.
Background technique
Warehouse logistics hardware device has some problems in practical applications: hardware device intelligence degree not enough causes
It is insufficient that more scenes run lower respond；Functions of the equipments are not complete, and there are blind areas for obstacle recognition.China storage smart machine
Industry is faced with the challenge of how to reduce the labor cost of logistics links and improves warehouse sorting efficiency.
Generally, the outbound order in warehouse is from different platform, order information diversification, commodity amount in order and
Item property etc. is also different, and a large amount of different orders are sorted using sowing type in the prior art, and which is to converge
One batch of total more parts of orders is that unit carries out sorting operation, and the batch of this operation is usually known as " wave in the industry
It is secondary ".How wave to be summarized and be applied in intelligent sorting device, improve sorting efficiency, configures optimal path to dispatch warehouse
The picking path of middle hardware device is one of this field urgent problem to be solved.
Summary of the invention
The purpose of the present invention is aiming at the shortcomings in the prior art, provide a kind of intelligent storage equipment scheduling method, system,
Storage medium and electronic equipment, after being pre-processed to outbound order, respectively on corresponding commodity shelf and shelf
Commodity carry out wave and time summarize, and configure optimal picking path according to summarized results, scheduling controlling picking equipment is precisely quickly held
Row picking task is after planting packaged shipment package, and can precisely, rapidly dispatch storage smart machine has in warehouse
The operation of effect realizes and plans as a whole to dispatch to machinery equipment, complete to make an inventory, outbound, the goods that replenishes to the work of people's high efficiency, be easy to implement
Whole system centralized control ensure that the accurate of work, reduce storage operating cost, improve storage Logistics Operation efficiency.
To achieve the above object, in a first aspect, the present invention provides a kind of intelligent storage equipment scheduling methods, comprising:
The commodity shelf of corresponding types and quantity is configured according to outbound order；
Calculate the similarity between different outbound orders；
Wave is carried out to the commodity in commodity shelf and commodity shelf according to the similarity of the outbound order to summarize；
Optimal picking path is configured according to the wave time summarized results, scheduling picking equipment executes outbound task.
Further, the commodity shelf that corresponding types and quantity are configured according to outbound order, comprising:
Whether judge in commodity shelf comprising the commodity in the outbound order；If comprising further described in judgement
Whether commodity amount included in commodity shelf meets commodity amount and total amount in the outbound order, if meeting
Configuration is completed, and continues to configure corresponding commodity shelf if being unsatisfactory for.
Further, the similarity calculated between different outbound orders, comprising: read the quotient in each outbound order
Product source and item property, establish feature vector；
According to the weight of preset merchandise resources and item property, the similarity between different outbound orders is calculated.
Further, the similarity according to the outbound order to the commodity in commodity shelf and commodity shelf into
Traveling wave time summarizes, comprising:
Judge whether the similarity of the outbound order meets greater than preset similarity threshold, if it is satisfied, then should
The commodity shelf of outbound order is divided into same outbound wave to the commodity shelf of similar order；
Judge whether the similarity of the affiliated outbound order of the commodity in same commodity shelf meets greater than preset similarity
Threshold value, if it is satisfied, then the commodity are divided into same outbound wave to the commodity of similar order.
Further, intelligent storage equipment scheduling method further include:
Receive the outbound order from different electric business platforms；
Proofread outbound order in merchandise news, judge commodity stocks whether surplus, if commodity stocks surplus, enters
Commodity shelf configurator；The order that replenishes is generated if commodity stocks deficiency, into the program that replenishes.
Second aspect, the present invention provides a kind of intelligent storage equipment scheduling systems, comprising:
Preprocessing module, for configuring the commodity shelf of corresponding types and quantity according to outbound order；
Similarity calculation module, for calculating the similarity between different outbound orders；
Wave time summarizing module, for according to the similarity of outbound order to the commodity in commodity shelf and commodity shelf into
Traveling wave time summarizes；
Scheduler module, for configuring optimal picking path according to the wave time summarized results, scheduling picking equipment is executed
Outbound task.
Further, the wave time summarizing module includes:
Commodity shelf sows unit, for judging whether the similarity of the outbound order meets greater than preset similarity
Threshold value, if it is satisfied, then the commodity shelf of the outbound order is divided into same outbound wave to the commodity shelf of similar order；
Commodity sow unit, for judging whether the similarity of the affiliated outbound order of the commodity in same commodity shelf meets
Greater than preset similarity threshold, if it is satisfied, then the commodity are divided into same outbound wave to the commodity of similar order.
Further, intelligent storage equipment scheduling system further includes order correction verification module, for receiving from different electricity
The outbound order of quotient's platform, and whether proofread the merchandise news in outbound order corresponding with stock.
The third aspect, the present invention provides a kind of computer readable storage mediums, wherein the computer-readable storage medium
Matter storage is used for the computer program of electronic data interchange, and the computer program is for executing as described in above-mentioned first aspect
Method.
Fourth aspect, the present invention provides a kind of electronic equipment, comprising: one or more processors；And one or more
A program wherein one or more of programs are stored in the memory, and is configured to by one or more
A processor executes the method as described in above-mentioned first aspect.
The invention has the advantages that:
The present invention is matched by pre-processing to the outbound order from different electric business platforms for each order respectively
Corresponding commodity shelf is set, Macro or mass analysis then is carried out to all outbound orders, by analysis result to corresponding commodity shelf
And the commodity on shelf carry out wave and summarize.When picking equipment, which executes outbound task, carries out picking, according in outbound task
The corresponding shelf of order and commodity wave time information select optimal picking path, scheduling controlling picking equipment essence for picking equipment
Standard is performed quickly picking task, and is after planting packaged to shipment package, thus reach can precisely, rapidly dispatch storehouse
Storage smart machine is effectively run in warehouse, is realized and is planned as a whole to dispatch to machinery equipment, and completion is made an inventory, outbound, the goods to replenish arrive
The work of people's high efficiency, is easy to implement whole system centralized control, ensure that the accurate of work, reduces storage operating cost,
Improve storage Logistics Operation efficiency.
Detailed description of the invention
For purpose, feature and advantage of the present invention can be clearer to understand, below with reference to attached drawing to preferable reality of the invention
Example is applied to be described in detail, in which:
Fig. 1 is one flow chart of embodiment of intelligent storage equipment scheduling method of the present invention；
Fig. 2 is two flow chart of embodiment of intelligent storage equipment scheduling method of the present invention；
Fig. 3 is one frame diagram of embodiment of intelligent storage equipment scheduling system of the present invention；
Fig. 4 is two frame diagram of embodiment of intelligent storage equipment scheduling system of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art exist
Every other embodiment obtained under the premise of creative work is not made, shall fall within the protection scope of the present invention.
Fig. 1 is the intelligent storage equipment scheduling method flow chart in the embodiment of the present invention one, and this method can be applied to object
Warehouse Management Platform is flowed, as shown in Figure 1, intelligent storage equipment scheduling method includes the following steps: in this example
Step 101. configures the commodity shelf of corresponding types and quantity according to outbound order.Outbound order can be from not
With a variety of different types of outbound orders of electric business platform, it is also possible to the different types of outbound from the same electric business platform
The electric business platform of order, push outbound order should be the platform bound in advance with this storage platform, by it in this storehouse
The account information of storage platform registration pushes its outbound order to this platform.
It in one embodiment, can be by with lower section according to the commodity shelf that outbound order configures corresponding types and quantity
Formula is realized:
After receiving outbound order, matched in inventory according to the type of merchandise included in order information, order total amount
Corresponding commodity shelf.For example, fixed on a shelf in warehousing to store certain certain types of commodity or a few types
The similar commodity of type, but have outbound order arrival when, according to the affiliated type of the commodity covered in order be the order match phase
The commodity shelf answered.Whether the management system of platform first determines whether in commodity shelf when carrying out commodity shelf matching comprising
The commodity in outbound order received；If comprising illustrating that the type of merchandise in the commodity shelf meets the outbound order
Upper listed commodity further judge required by whether commodity amount included in the commodity shelf meets in outbound order
Commodity amount and total amount illustrate the needs of shelf can satisfy the outbound order if met, completion are configured, if not
Meet, illustrate that the commodity amount in the commodity shelf is not able to satisfy the requirement of order, then continues growing and configure the same kind of goods goods
Frame or corresponding goods shelf similar with the commodity shelf type.Specifically, if not including to have received in commodity shelf
Commodity in outbound order, then the commodity shelf will not be configured, if all commodity shelfs do not include and received in warehouse
To outbound order in commodity, then can generate warning out of stock, warehouse is reminded to carry out short supply registration and the task that replenishes.
Step 102. calculates the similarity between different outbound orders.It will receive a large amount of different outbound orders in warehouse,
It again include the commodity of various forms multiplicity in each order, it, can according to merchandise news or order source either total amount of the orders
Sorted out with arranging different outbound orders according to specific factor, in order to carry out batch processing to same class order, and then is improved
The efficiency of order processing, in order to avoid be blindly packaged according to order-picking, cause wrong picking or omit the accident of order.?
In one embodiment, the similarity calculation of the step can will go out by using merchandise resources and item property as reference factor
Library order carries out Classifying Sum, can specifically be realized by way of calculating similarity:
The merchandise resources and item property in each outbound order are read, using merchandise resources and item property as characteristic value
Establish feature vector；
According to the weight of preset merchandise resources and item property, the similarity between different outbound orders is calculated.Such as
According to the feature of certain batch of order, merchandise resources and item property weight shared in calculating order similarity, benefit is set separately
The similarity between different outbound orders is calculated with the method for weighted statistical.
Step 103. is according to the similarity between the different outbound orders being calculated in step 102, to all orders pair
Commodity in the commodity shelf answered and each commodity shelf carry out wave and summarize.
In one embodiment, platform can preset a similarity threshold, will meet the outbound of the similarity threshold
For order as similar order, it is same that the commodity in the corresponding commodity shelf of these similar orders and commodity shelf, which will be aggregated,
One batch has same picking priority when picking executes outbound task.Specific implementation process includes:
First, it is determined that whether the similarity of outbound order meets greater than preset similarity threshold, if it is satisfied, then should
The commodity shelf of outbound order is divided into same outbound wave to the commodity shelf of similar order；When executing outbound task, appoint
Include the similar order in business, then commodity shelf corresponding to similar order is sowed first, such as can be by these goods
Frame is moved to preparation and goes out goods area.
Further, due to that may include different types of commodity in some commodity shelfs, and these commodity may belong to
In different outbound order (for example, when some shelf meets two outbound orders, the i.e. picking task of the two orders simultaneously,
Can be executed on this shelf simultaneously), therefore, further, need to judge the affiliated outbound of commodity in same commodity shelf
Whether the similarity of order meets greater than preset similarity threshold, if it is satisfied, then the commodity are drawn to the commodity of similar order
It is divided into same outbound wave.The process can be understood as carrying out classification sowing to the commodity in commodity shelf, in order to same
When commodity shelf carries out picking, picking packing is carried out according to whether the commodity in the commodity shelf belong to same batch, to keep away
Exempt to realize and the commodity progress in commodity shelf is orderly successively picked.
Step 104. configures optimal picking path according to the wave time summarized results, and scheduling picking equipment executes outbound and appoints
Business.When storage platform completes pretreatment and orientation after planting to all outbound orders, according to order priority execution outbound task.
For merchandise news included in each outbound task, cooked up most in conjunction with the picking priority that above-mentioned wave summarizes generation
Excellent picking path, so-called optimal picking path can be most fast time and shortest path needed for picking corresponding commodity.Example
Such as, the outbound order for corresponding to same commodity shelf is executed as the same outbound task, so that the operation of picking equipment
Path effectively reduces.According to the optimal picking path of calculating, specific picking path is respectively configured for different distribution picking equipment,
For executing lucky outbound task.Picking equipment high efficiency is run, can be repeated to avoid equipment is reduced
Route improves picking efficiency, reduces equipment operation cost.
By the intelligent storage equipment scheduling method of this implementation, on the one hand by the outbound from different electric business platforms
Order is pre-processed, and corresponding commodity shelf is respectively configured for each order, so that when executing outbound task as far as possible
Reduce the case where commodity sorting is carried out between different shelf.On the other hand, by analysis result to corresponding commodity shelf with
And the commodity on shelf carry out wave and summarize, and outbound order is calculated according to the item property and merchandise resources that include in order
Similar order is carried out unified sow when convenient for executing outbound task and is packaged, reduces the complexity in equipment picking path by similarity,
Duplicate paths are reduced as far as possible, are conducive to select optimal picking path for picking equipment, scheduling controlling picking equipment is precisely fast
Picking task is executed fastly, and shipment package is after planting packaged, and machinery equipment is planned as a whole to dispatch to realize, completes disk
Point, outbound, the goods to replenish work to people's high efficiency, are easy to implement whole system centralized control, ensure that the accurate of work,
Storage operating cost is reduced, storage Logistics Operation efficiency is improved.
Fig. 2 is the intelligent storage equipment scheduling method flow chart in the embodiment of the present invention two, and this method can be applied to object
Warehouse Management Platform is flowed, for handling all order informations of electric business platform push-in, guarantees that order precise and high efficiency is packaged delivery.Such as
Shown in Fig. 2, intelligent storage equipment scheduling method includes the following steps: in this example
Step 201. receives the outbound order from different electric business platforms；It can be with setting order reception period, timing
Open order receiving platform, in order to be pre-processed in time to order or guarantee that inventory guarantees surplus at any time.
Step 202. proofreads the merchandise news in outbound order, carries out quantity system by the commodity to different attribute in order
Meter, judges whether commodity stocks is surplus for all commodity included in order, if commodity stocks surplus, into
Enter commodity shelf configurator (i.e. step 203)；The order that replenishes is generated if commodity stocks deficiency, into the program that replenishes.It mends
It include product name, item property and the total volume of commodities etc. for needing to replenish in goods order.
Step 203. configures the commodity shelf of corresponding types and quantity according to outbound order.Outbound order can be from not
With a variety of different types of outbound orders of electric business platform, it is also possible to the different types of outbound from the same electric business platform
The electric business platform of order, push outbound order should be the platform bound in advance with this storage platform, by it in this storehouse
The account information of storage platform registration pushes its outbound order to this platform.
It in one embodiment, can be by with lower section according to the commodity shelf that outbound order configures corresponding types and quantity
Formula is realized:
After receiving outbound order, matched in inventory according to the type of merchandise included in order information, order total amount
Corresponding commodity shelf.For example, fixed on a shelf in warehousing to store certain certain types of commodity or a few types
The similar commodity of type, but have outbound order arrival when, according to the affiliated type of the commodity covered in order be the order match phase
The commodity shelf answered.Whether the management system of platform first determines whether in commodity shelf when carrying out commodity shelf matching comprising
The commodity in outbound order received；If comprising illustrating that the type of merchandise in the commodity shelf meets the outbound order
Upper listed commodity further judge required by whether commodity amount included in the commodity shelf meets in outbound order
Commodity amount and total amount illustrate the needs of shelf can satisfy the outbound order if met, completion are configured, if not
Meet, illustrate that the commodity amount in the commodity shelf is not able to satisfy the requirement of order, then continues growing and configure the same kind of goods goods
Frame or corresponding goods shelf similar with the commodity shelf type.Specifically, if not including to have received in commodity shelf
Commodity in outbound order, then the commodity shelf will not be configured, if all commodity shelfs do not include and received in warehouse
To outbound order in commodity, then can generate warning out of stock, warehouse is reminded to carry out short supply registration and the task that replenishes.
Step 204. calculates the similarity between different outbound orders.It will receive a large amount of different outbound orders in warehouse,
It again include the commodity of various forms multiplicity in each order, it, can according to merchandise news or order source either total amount of the orders
Sorted out with arranging different outbound orders according to specific factor, in order to carry out batch processing to same class order, and then is improved
The efficiency of order processing, in order to avoid be blindly packaged according to order-picking, cause wrong picking or omit the accident of order.?
In one embodiment, the similarity calculation of the step can will go out by using merchandise resources and item property as reference factor
Library order carries out Classifying Sum, can specifically be realized by way of calculating similarity:
The merchandise resources and item property in each outbound order are read, using merchandise resources and item property as characteristic value
Establish feature vector；
According to the weight of preset merchandise resources and item property, the similarity between different outbound orders is calculated.Such as
According to the feature of certain batch of order, merchandise resources and item property weight shared in calculating order similarity, benefit is set separately
The similarity between different outbound orders is calculated with the method for weighted statistical.
Step 205. is according to the similarity between the different outbound orders being calculated in step 204, to all orders pair
Commodity in the commodity shelf answered and each commodity shelf carry out wave and summarize.
In one embodiment, platform can preset a similarity threshold, will meet the outbound of the similarity threshold
For order as similar order, it is same that the commodity in the corresponding commodity shelf of these similar orders and commodity shelf, which will be aggregated,
One batch has same picking priority when picking executes outbound task.Specific implementation process includes:
First, it is determined that whether the similarity of outbound order meets greater than preset similarity threshold, if it is satisfied, then should
The commodity shelf of outbound order is divided into same outbound wave to the commodity shelf of similar order；When executing outbound task, appoint
Include the similar order in business, then commodity shelf corresponding to similar order is sowed first, such as can be by these goods
Frame is moved to preparation and goes out goods area.
Further, due to that may include different types of commodity in some commodity shelfs, and these commodity may belong to
In different outbound order (for example, when some shelf meets two outbound orders, the i.e. picking task of the two orders simultaneously,
Can be executed on this shelf simultaneously), therefore, further, need to judge the affiliated outbound of commodity in same commodity shelf
Whether the similarity of order meets greater than preset similarity threshold, if it is satisfied, then the commodity are drawn to the commodity of similar order
It is divided into same outbound wave.The process can be understood as carrying out classification sowing to the commodity in commodity shelf, in order to same
When commodity shelf carries out picking, picking packing is carried out according to whether the commodity in the commodity shelf belong to same batch, to keep away
Exempt to realize and the commodity progress in commodity shelf is orderly successively picked.
Step 206. configures optimal picking path according to the wave time summarized results, and scheduling picking equipment executes outbound and appoints
Business.When storage platform completes pretreatment and orientation after planting to all outbound orders, according to order priority execution outbound task.
For merchandise news included in each outbound task, cooked up most in conjunction with the picking priority that above-mentioned wave summarizes generation
Excellent picking path, so-called optimal picking path can be most fast time and shortest path needed for picking corresponding commodity.Example
Such as, the outbound order for corresponding to same commodity shelf is executed as the same outbound task, so that the operation of picking equipment
Path effectively reduces.According to the optimal picking path of calculating, specific picking path is respectively configured for different distribution picking equipment,
For executing lucky outbound task.Picking equipment high efficiency is run, can be repeated to avoid equipment is reduced
Route improves picking efficiency, reduces equipment operation cost.
By the intelligent storage equipment scheduling method of this implementation, the whole process system centralized control when realizing storage facilities scheduling
On the basis of, to all order informations of the different electric business platforms push-in received, inventory's verification and verification are regularly carried out, with
Ensure that inventory keeps surplus at any time, and then guarantees that order precise and high efficiency is packaged delivery.
A kind of intelligent storage equipment scheduling system of one or more embodiments of the invention described in detail below.Ability
Field technique personnel are appreciated that these intelligent storage equipment scheduling systems can be used commercially available hardware component and pass through this programme
The step of instructed, is configured to constitute.
Fig. 3 is the block schematic illustration of the intelligent storage equipment scheduling system in the present embodiment one, as shown in figure 3, the system
Include:
Preprocessing module 301, for configuring the commodity shelf of corresponding types and quantity according to outbound order；
Similarity calculation module 302, for calculating the similarity between different outbound orders；
Wave time summarizing module 303, for the similarity according to outbound order to the quotient in commodity shelf and commodity shelf
Product carry out wave and summarize；
Scheduler module 304, for configuring optimal picking path according to the wave time summarized results, scheduling picking equipment is held
Row outbound task.
In a feasible embodiment, wave time summarizing module 303 includes:
Commodity shelf sows unit 331, for judging whether the similarity of the outbound order meets greater than preset phase
Like degree threshold value, if it is satisfied, then the commodity shelf of the outbound order is divided into same outbound to the commodity shelf of similar order
Wave；
Commodity sow unit 332, for judge the affiliated outbound order of the commodity in same commodity shelf similarity whether
Meet and be greater than preset similarity threshold, if it is satisfied, then the commodity are divided into same outbound wave to the commodity of similar order.
The method that system shown in Figure 3 can execute embodiment illustrated in fig. 1, the part being not described in detail in the present embodiment, can
The related description of reference pair embodiment illustrated in fig. 1.The implementation shown in Figure 1 of the implementation procedure and technical effect of the technical solution
Description in example, details are not described herein.
Fig. 4 is the block schematic illustration of the intelligent storage equipment scheduling system in the present embodiment two, as shown in figure 4, the system
Include:
Preprocessing module 401, for configuring the commodity shelf of corresponding types and quantity according to outbound order；
Similarity calculation module 402, for calculating the similarity between different outbound orders；
Wave time summarizing module 403, for the similarity according to outbound order to the quotient in commodity shelf and commodity shelf
Product carry out wave and summarize；
Scheduler module 404, for configuring optimal picking path according to the wave time summarized results, scheduling picking equipment is held
Row outbound task；
Order correction verification module 405 for receiving the outbound order from different electric business platforms, and is proofreaded in outbound order
Merchandise news it is whether corresponding with stock.
In a feasible embodiment, wave time summarizing module 403 includes:
Commodity shelf sows unit 431, for judging whether the similarity of the outbound order meets greater than preset phase
Like degree threshold value, if it is satisfied, then the commodity shelf of the outbound order is divided into same outbound to the commodity shelf of similar order
Wave；
Commodity sow unit 432, for judge the affiliated outbound order of the commodity in same commodity shelf similarity whether
Meet and be greater than preset similarity threshold, if it is satisfied, then the commodity are divided into same outbound wave to the commodity of similar order.
The method that system shown in Figure 4 can execute embodiment illustrated in fig. 2, the part being not described in detail in the present embodiment, can
The related description of reference pair embodiment illustrated in fig. 2.The implementation shown in Figure 2 of the implementation procedure and technical effect of the technical solution
Description in example, details are not described herein.
Intelligent storage equipment scheduling method described above can be executed by computer program, the computer program
For carrying out electronic data interchange, and it is stored in a computer readable storage medium.
Intelligent storage equipment scheduling system described above is only schematical, wherein described say as separation unit
Bright unit may or may not be physically separated, can select according to the actual needs part therein or
Whole module achieves the purpose of the solution of this embodiment.Those of ordinary skill in the art are not the case where making the creative labor
Under, it can it understands and implements.
The foregoing describe the built-in functions and mechanism of intelligent storage equipment scheduling system, in a possible design, on
The structure for stating intelligent storage equipment scheduling system can realize that as an electronic equipment, the electronic equipment such as server may include:
Processor and memory.Wherein, memory supports intelligent storage equipment scheduling system to execute any of the above-described reality respectively for storing
The program of the intelligent storage equipment scheduling method provided in example is applied, above-mentioned processor is configurable for executing in above-mentioned memory
The program of storage.
Described program includes one or more computer instruction, wherein one or more computer instruction is by the place
Reason device execution can be realized intelligent storage equipment scheduling method step described in any embodiment as shown in Figure 1 or 2.
A kind of possible application example: the intelligent storage equipment scheduling method is applied to large-scale logistics center, including sorts
The ferris wheel of cargo and the intelligent warehousing system HCOS of control ferris wheel, ferris wheel carry out cargo under the control of HCOS system
Schedule job.Ferris wheel refers to the mechanical structure for sorting cargo, to realize that cargo is transferred to target position, HCOS by current location
System refers to that control ferris wheel realizes that the software systems of cargo forwarding function, HCOS system cooperate hardware ferris wheel to realize cargo
It sorts.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations, to the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, this those of ordinary skill utilized it is understood that its still
It is possible to modify the technical solutions described in the foregoing embodiments, or part of technical characteristic is equally replaced
It changes；And these are modified or replaceed, and are not that the essence of corresponding technical solution is made to be detached from technical solution of various embodiments of the present invention
Spirit and scope.
Claims (10)
1. a kind of intelligent storage equipment scheduling method characterized by comprising
The commodity shelf of corresponding types and quantity is configured according to outbound order；
Calculate the similarity between different outbound orders；
Wave is carried out to the commodity in commodity shelf and commodity shelf according to the similarity of the outbound order to summarize；
Optimal picking path is configured according to the wave time summarized results, scheduling picking equipment executes outbound task.
2. intelligent storage equipment scheduling method according to claim 1, which is characterized in that described to be configured according to outbound order
The commodity shelf of corresponding types and quantity, comprising:
Whether judge in commodity shelf comprising the commodity in the outbound order；If comprising further judging the commodity
Whether commodity amount included in shelf meets commodity amount and total amount in the outbound order, configures if meeting
It completes, continues to configure corresponding commodity shelf if being unsatisfactory for.
3. intelligent storage equipment scheduling method according to claim 1, which is characterized in that described to calculate different outbound orders
Between similarity, comprising: read the merchandise resources and item property in each outbound order, establish feature vector；
According to the weight of preset merchandise resources and item property, the similarity between different outbound orders is calculated.
4. intelligent storage equipment scheduling method according to claim 3, which is characterized in that described according to the outbound order
Similarity wave carried out to the commodity in commodity shelf and commodity shelf time summarize, comprising:
Judge whether the similarity of the outbound order meets greater than preset similarity threshold, if it is satisfied, then by the outbound
The commodity shelf of order is divided into same outbound wave to the commodity shelf of similar order；
Judge whether the similarity of the affiliated outbound order of the commodity in same commodity shelf meets greater than preset similarity threshold,
If it is satisfied, then the commodity are divided into same outbound wave to the commodity of similar order.
5. intelligent storage equipment scheduling method according to claim 1, which is characterized in that further include:
Receive the outbound order from different electric business platforms；
Proofread outbound order in merchandise news, judge commodity stocks whether surplus, if commodity stocks surplus, enter commodity
Shelf configurator；The order that replenishes is generated if commodity stocks deficiency, into the program that replenishes.
6. a kind of intelligent storage equipment scheduling system characterized by comprising
Preprocessing module, for configuring the commodity shelf of corresponding types and quantity according to outbound order；
Similarity calculation module, for calculating the similarity between different outbound orders；
Wave time summarizing module, for carrying out wave to the commodity in commodity shelf and commodity shelf according to the similarity of outbound order
It is secondary to summarize；
Scheduler module, for configuring optimal picking path according to the wave time summarized results, scheduling picking equipment executes outbound
Task.
7. intelligent storage equipment scheduling system according to claim 6, which is characterized in that the wave time summarizing module packet
It includes:
Commodity shelf sows unit, for judging whether the similarity of the outbound order meets greater than preset similarity threshold
Value, if it is satisfied, then the commodity shelf of the outbound order is divided into same outbound wave to the commodity shelf of similar order；
Commodity sow unit, are greater than for judging whether the similarity of the affiliated outbound order of the commodity in same commodity shelf meets
Preset similarity threshold, if it is satisfied, then the commodity are divided into same outbound wave to the commodity of similar order.
8. intelligent storage equipment scheduling system according to claim 6, which is characterized in that it further include order correction verification module,
For receiving the outbound order from different electric business platforms, and proofread the merchandise news in outbound order whether with stock
It is corresponding.
9. a kind of computer readable storage medium, wherein the computer-readable recording medium storage is used for electronic data interchange
Computer program, the computer program is used to execute method as described in claim 1 to 5 any one.
10. a kind of electronic equipment, comprising:
One or more processors；And one or more programs, wherein one or more of programs are stored in described deposit
In reservoir, and be configured to as one or more of processors execute benefit require 1 to 5 any one as described in method.
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