CN110378503A - The method and apparatus for predicting multilayer shuttle shelf production capacity - Google Patents
The method and apparatus for predicting multilayer shuttle shelf production capacity Download PDFInfo
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- CN110378503A CN110378503A CN201811390998.5A CN201811390998A CN110378503A CN 110378503 A CN110378503 A CN 110378503A CN 201811390998 A CN201811390998 A CN 201811390998A CN 110378503 A CN110378503 A CN 110378503A
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- G06Q10/00—Administration; Management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention discloses a kind of method and apparatus for predicting multilayer shuttle shelf production capacity, are related to warehouse logistics field.One specific embodiment of this method includes: to determine that be averaged production efficiency, current mechanism of the work station of history wave time period is averaged production efficiency, the average production efficiency of current elevator according to history wave time data；Prediction is averaged production efficiency, work station production capacity and elevator production capacity when the work station of next wave time period of prewave time；Multilayer shuttle shelf production capacity predicted value by the minimum value in the work station production capacity and elevator production capacity of next wave time period, as next wave time period.The embodiment comprehensively considers history production efficiency and current production efficiency, so overcome in the prior art as excessively rely on the peak value of the sorting ability in historical data and caused by production capacity the not high problem technical problem of precision of prediction, and then it is more acurrate to reach prediction production capacity result.
Description
Technical field
The present invention relates to warehouse logistics field more particularly to a kind of methods and dress for predicting multilayer shuttle shelf production capacity
It sets.
Background technique
Article is transported to by multilayer shuttle shelf using automation shuttle, elevator from the storage space of the shelf of multilayer
It sorts work station (hereinafter referred to as work station), work station sorts production for carrying out outbound, can be divided into and manually sort work
It stands, robotic pick work station, robotic pick abnormal work station.Multilayer shuttle shelf production capacity refer to transporting capacity and
Sorting ability.It is the peak value for counting the sorting ability in area, robot daily according to historical data, i.e., in existing AOF calculation
Then the sorting number of packages of each work station per minute is multiplied to obtain current according to current wave time remaining time with work station number
Production capacity.In simple terms, the method for production capacity is calculated in the prior art are as follows: current production capacity=each per minute
The sorting number of packages (peak value of the sorting ability in area, robot) of work station * current wave time remaining time * work station number.
In realizing process of the present invention, at least there are the following problems in the prior art for inventor's discovery:
1. peak value is a kind of perfect condition, and is attained by history in unreality since historical data has stationarity
Peak situation.
2. the abnormal conditions of currently associated equipment cannot be predicted, the precision of prediction that will cause production capacity is not high.
Summary of the invention
In view of this, the embodiment of the present invention provides a kind of method and apparatus for predicting multilayer shuttle shelf production capacity, energy
It is enough to solve the peak value for excessively relying on the sorting ability in historical data and the abnormal conditions that currently associated equipment be predicted
The not high problem of the precision of prediction of production capacity caused by and.
To achieve the above object, according to an aspect of an embodiment of the present invention, a kind of prediction multilayer shuttle shelf are provided
The method of production capacity, comprising:
According to history wave time data, determine that be averaged production efficiency, current mechanism of the work station of history wave time period is put down
Equal production efficiency, the average production efficiency of current elevator；
Effect is averagely produced according to the be averaged work station of production efficiency, the history wave time period of the current mechanism
Rate, prediction are averaged production efficiency when the work station of next wave time period of prewave time；
The be averaged average production of production efficiency, the current elevator of work station based on next wave time period is imitated
The secondary duration of rate, next wave, work station quantity, elevator quantity predict that the work station of next wave time period is raw
Production capacity power and elevator production capacity；
By the minimum value in the work station production capacity and elevator production capacity of next wave time period, as under
The multilayer shuttle shelf production capacity predicted value of one wave time period.
Optionally, according to the current mechanism be averaged production efficiency, the history wave time period work station it is average
Production efficiency, prediction are averaged production efficiency when the work station of next wave time period of prewave time, comprising:
According to the period when prewave time, determine that the work station of history wave time period identical with the period is averagely raw
Efficiency is produced, and the work station of history wave time period identical with next wave time period when prewave time averagely produces effect
Rate；
Work when next wave time period of prewave time is calculated using formula q (t+1)=(ql (t)/q ' (t)) * ql (t+1)
Make stand average production efficiency q (t+1)；
Wherein, ql (t+1) indicates the work of history wave time period identical with next wave time period when prewave time
It stands average production efficiency, ql (t) indicates that the work station of history wave identical with the period secondary period is averaged production efficiency, q '
(t) indicate that current mechanism be averaged production efficiency, t indicates the period when prewave time, and t+1 is indicated when next wave of prewave time is secondary
Period.
Optionally, be averaged production efficiency, the current elevator of work station based on next wave time period is put down
Equal production efficiency, the duration of next wave time, work station quantity, elevator quantity predict next wave time period
Work station production capacity and elevator production capacity, comprising:
The work station of next wave time period be averaged production efficiency, next wave secondary duration, work station quantity
Product, the work station production capacity as next wave time period；
By the average choosing of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper
Elevator production capacity of the product of number of packages amount as next wave time period.
Optionally, according to the current mechanism be averaged production efficiency, the history wave time period work station it is average
Production efficiency, prediction after the work station of next wave of prewave time secondary period is averaged production efficiency, the method also includes:
According to history wave time data, determine that each shuttle and or elevator are in the average duration Tx of malfunction；
Acquisition is currently at the shuttle quantity m of malfunction and is currently at the elevator quantity n of malfunction；
It is total using accounting p1=1-m/ shuttle to determine the shuttle in normal condition, and in normal condition
Elevator uses accounting p2=1-n/ elevator sum；
The be averaged average production of production efficiency, the current elevator of work station based on next wave time period is imitated
The secondary duration of rate, next wave, work station quantity, elevator quantity predict that the work station of next wave time period is raw
Production capacity power and elevator production capacity, comprising:
Using formula W q=q (t+1) * Tx*Ng*p1*p2+q (t+1) * (Tb-Tx) * Ng, next wave time time is calculated
The work station production capacity Wq of section；
Wherein, Ng indicates work station quantity, and Tb indicates the duration of next wave time；
By the average choosing of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper
The product of number of packages amount, the elevator production capacity Cq as next wave time period.
Optionally, by the minimum in the work station production capacity and elevator production capacity of next wave time period
It is worth, after the multilayer shuttle shelf production capacity predicted value as next wave time period, the method also includes:
By the current mechanism be averaged production efficiency, when prewave time residual time length, work station quantity, in normal condition
Shuttle the product of accounting is used using accounting and elevator in normal condition, as when prewave time remaining time section
Work station production capacity W0q；
By the average production efficiency of current elevator, being averaged when prewave time residual time length, elevator quantity and hopper
The product of option quantity, as the elevator production capacity C when prewave time remaining time section0q；
By the W0Q and C0Minimum value in q, as the multilayer shuttle shelf production capacity when prewave time remaining time section
Predicted value.
Optionally, by the minimum in the work station production capacity and elevator production capacity of next wave time period
Value, the multilayer shuttle shelf production capacity predicted value as next wave time period, comprising:
According to history wave time data, the multilayer shuttle shelf production capacity actual value of history wave time period is determined；
The multilayer shuttle shelf production capacity predicted value for obtaining the history wave time period, when determining the history wave time
Between section multilayer shuttle shelf production capacity predicted value and the multilayer shuttle shelf production capacity of the history wave time period it is real
The ratio of actual value, the difference percentage of the multilayer shuttle shelf production capacity as the history wave time period；
According to the difference percentage, difference percentage upper quartile P is determined in all history waves time；
The multilayer shuttle shelf production capacity predicted value Q=P*Min (Wq, Cq) of next wave time period, wherein Min (Wq,
Cq the work station production capacity Wq and the elevator of next wave time period for) indicating next wave time period produce energy
Minimum value in power Cq.
Optionally, according to history wave time data, determine that the current mechanism production efficiency that is averaged includes:
The history wave time data include the production quantity Sg of work station in the set period of time from current time forward
Duration T ' the g of unbound order status is in work station；
Production efficiency=Sg/ (Tg-T ' g) of work station, Tg indicate set period of time from current time forward when
It is long；
According to the production efficiency at all working station and work station quantity, determine that current mechanism is averaged production efficiency.
Optionally, according to history wave time data, determine that the average production efficiency of current elevator includes:
The history wave time data include the lift tank number Sj of elevator in the set period of time from current time forward
The duration Tj in running order with elevator；
Production efficiency=Sj/Tj of elevator；
According to the production efficiency of all elevators and elevator quantity, the average production efficiency of current elevator is determined.
To achieve the above object, it is raw to provide a kind of prediction shuttle shelf for other side according to an embodiment of the present invention
The device of production capacity power, comprising:
Efficiency determination module is used for: according to history wave time data, determining that the work station of history wave time period averagely produces
Efficiency, current mechanism are averaged production efficiency, the average production efficiency of current elevator；
EFFICIENCY PREDICTION module, is used for: being averaged production efficiency, the history wave time period according to the current mechanism
Work station is averaged production efficiency, and prediction is averaged production efficiency when the work station of next wave time period of prewave time；
The quasi- prediction module of production capacity, is used for: the work station based on next wave time period be averaged production efficiency, described work as
The secondary duration of the average production efficiency of preceding elevator, next wave, work station quantity, elevator quantity, are predicted described next
The work station production capacity and elevator production capacity of wave time period；
Predicted value determining module, is used for: the work station production capacity of next wave time period and elevator are produced
Minimum value in ability, the multilayer shuttle shelf production capacity predicted value as next wave time period.
Optionally, EFFICIENCY PREDICTION module is also used to:
According to the period when prewave time, determine that the work station of history wave time period identical with the period is averagely raw
Efficiency is produced, and the work station of history wave time period identical with next wave time period when prewave time averagely produces effect
Rate；
Work when next wave time period of prewave time is calculated using formula q (t+1)=(ql (t)/q ' (t)) * ql (t+1)
Make stand average production efficiency q (t+1)；
Wherein, ql (t+1) indicates the work of history wave time period identical with next wave time period when prewave time
It stands average production efficiency, ql (t) indicates that the work station of history wave identical with the period secondary period is averaged production efficiency, q '
(t) indicate that current mechanism be averaged production efficiency, t indicates the period when prewave time, and t+1 is indicated when next wave of prewave time is secondary
Period.
Optionally, the quasi- prediction module of production capacity is also used to:
The work station of next wave time period be averaged production efficiency, next wave secondary duration, work station quantity
Product, the work station production capacity as next wave time period；
By the average choosing of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper
Elevator production capacity of the product of number of packages amount as next wave time period.
Optionally, described device further includes fault statistics module, is used for:
According to history wave time data, determine that each shuttle and or elevator are in the average duration Tx of malfunction；
Acquisition is currently at the shuttle quantity m of malfunction and is currently at the elevator quantity n of malfunction；
It is total using accounting p1=1-m/ shuttle to determine the shuttle in normal condition, and in normal condition
Elevator uses accounting p2=1-n/ elevator sum；
The quasi- prediction module of production capacity is also used to:
Using formula W q=q (t+1) * Tx*Ng*p1*p2+q (t+1) * (Tb-Tx) * Ng, next wave time time is calculated
The work station production capacity Wq of section；
Wherein, Ng indicates work station quantity, and Tb indicates the duration of next wave time；
By the average choosing of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper
The product of number of packages amount, the elevator production capacity Cq as next wave time period.
Optionally, predicted value determining module is also used to:
By the current mechanism be averaged production efficiency, when prewave time residual time length, work station quantity, in normal condition
Shuttle the product of accounting is used using accounting and elevator in normal condition, as when prewave time remaining time section
Work station production capacity W0q；
By the average production efficiency of current elevator, being averaged when prewave time residual time length, elevator quantity and hopper
The product of option quantity, as the elevator production capacity C when prewave time remaining time section0q；
By the W0Q and C0Minimum value in q, as the multilayer shuttle shelf production capacity when prewave time remaining time section
Predicted value.
Optionally, predicted value determining module is also used to:
According to history wave time data, the multilayer shuttle shelf production capacity actual value of history wave time period is determined；
The multilayer shuttle shelf production capacity predicted value for obtaining the history wave time period, when determining the history wave time
Between section multilayer shuttle shelf production capacity predicted value and the multilayer shuttle shelf production capacity of the history wave time period it is real
The ratio of actual value, the difference percentage of the multilayer shuttle shelf production capacity as the history wave time period；
According to the difference percentage, difference percentage upper quartile P is determined in all history waves time；
The multilayer shuttle shelf production capacity predicted value Q=P*Min (Wq, Cq) of next wave time period, wherein Min (Wq,
Cq the work station production capacity Wq and the elevator of next wave time period for) indicating next wave time period produce energy
Minimum value in power Cq.
Optionally, efficiency determination module is also used to:
The history wave time data include the production quantity Sg of work station in the set period of time from current time forward
Duration T ' the g of unbound order status is in work station；
Production efficiency=Sg/ (Tg-T ' g) of work station, Tg indicate set period of time from current time forward when
It is long；
According to the production efficiency at all working station and work station quantity, determine that current mechanism is averaged production efficiency.
Optionally, efficiency determination module is also used to:
The history wave time data include the lift tank number Sj of elevator in the set period of time from current time forward
The duration Tj in running order with elevator；
Production efficiency=Sj/Tj of elevator；
According to the production efficiency of all elevators and elevator quantity, the average production efficiency of current elevator is determined.
To achieve the above object, another aspect according to an embodiment of the present invention, provides a kind of electronic equipment, comprising:
One or more processors；Storage device, for storing one or more programs, when one or more of programs are by described one
A or multiple processors execute, so that one or more of processors realize that prediction multilayer provided in an embodiment of the present invention shuttles
The method of shelf production capacity.
To achieve the above object, another aspect according to an embodiment of the present invention provides a kind of computer-readable medium,
It is stored thereon with computer program, realizes that prediction multilayer provided in an embodiment of the present invention shuttles when described program is executed by processor
The method of shelf production capacity.
One embodiment in foregoing invention has the following advantages that or the utility model has the advantages that because comprehensively considers history production efficiency
With current production efficiency, so overcome in the prior art due to excessively relying on the peak value of the sorting ability in historical data and
Caused by production capacity the not high problem technical problem of precision of prediction, and then reach the multilayer shuttle shelf production capacity of prediction
As a result more acurrate.
Further effect possessed by above-mentioned non-usual optional way adds hereinafter in conjunction with specific embodiment
With explanation.
Detailed description of the invention
Attached drawing for a better understanding of the present invention, does not constitute an undue limitation on the present invention.Wherein:
Fig. 1 is the signal of the basic procedure of the method for prediction multilayer shuttle shelf production capacity according to an embodiment of the present invention
Figure；
Fig. 2 is the production end time schematic diagram of each wave according to an embodiment of the present invention time；
Fig. 3 is the predicted value of history wave according to an embodiment of the present invention time and the contrast curve chart of actual value；
Fig. 4 is the signal of the basic module of the device of prediction multilayer shuttle shelf production capacity according to an embodiment of the present invention
Figure；
Fig. 5 is that the embodiment of the present invention can be applied to exemplary system architecture figure therein；
Fig. 6 is adapted for the structural representation of the computer system for the terminal device or server of realizing the embodiment of the present invention
Figure.
Specific embodiment
Below in conjunction with attached drawing, an exemplary embodiment of the present invention will be described, including the various of the embodiment of the present invention
Details should think them only exemplary to help understanding.Therefore, those of ordinary skill in the art should recognize
It arrives, it can be with various changes and modifications are made to the embodiments described herein, without departing from scope and spirit of the present invention.Together
Sample, for clarity and conciseness, descriptions of well-known functions and structures are omitted from the following description.
Fig. 1 is the signal of the basic procedure of the method for prediction multilayer shuttle shelf production capacity according to an embodiment of the present invention
Figure.As shown in Figure 1, the embodiment of the invention provides a kind of methods for predicting multilayer shuttle shelf production capacity, comprising:
Step S101. determines that the work station of history wave time period be averaged production efficiency, currently according to history wave time data
Work station is averaged production efficiency, the average production efficiency of current elevator；
Step S102. according to the current mechanism be averaged production efficiency, the history wave time period work station it is flat
Equal production efficiency, prediction are averaged production efficiency when the work station of next wave time period of prewave time；
Step S103. is averaged production efficiency, the current elevator based on the work station of next wave time period
Average production efficiency, the duration of next wave time, work station quantity, elevator quantity predict next wave time period
Work station production capacity and elevator production capacity；
Step S104. is by the minimum in the work station production capacity and elevator production capacity of next wave time period
Value, the multilayer shuttle shelf production capacity predicted value as next wave time period.
Wherein, wave is a kind of mode for improving picking operation efficiency, it merges different orders according to certain standard
For a wave, a picking is instructed.One wave has wave time period and production end time, belongs to this wave
Production end times of all orders be consistent.Fig. 2 is the production end time of each wave according to an embodiment of the present invention time
Schematic diagram is the production end time of 7 waves time in figure as shown in Fig. 2, there is within one day 7 waves.
The embodiment of the present invention overcomes the prior art because comprehensively considering history production efficiency and current production efficiency
In as excessively rely on the peak value of the sorting ability in historical data and caused by the precision of prediction of production capacity not high ask
Technical problem is inscribed, and then the multilayer shuttle shelf production capacity result for reaching prediction is more acurrate.
In the step S101 of the embodiment of the present invention, according to history wave time data, the work of history wave time period is determined
It stands average production efficiency, comprising: it counts in each history wave time, time span of work station in the state that workload is saturated,
Then it is full in workload to calculate each work station according to above data for sorting number of packages of work station in the state that workload is saturated
Sorting efficiency in the state of；Since a multilayer shuttle shelf are to carry out binding production with multiple work stations, so wanting
In conjunction with the quantity of work station, the work station for calculating each history wave time period be averaged production efficiency, such as: when history wave is secondary
Between the work station production efficiency that is averaged of section 06:00-11:00 be ql (06:00-11:00)=3.4, the history wave time period 11:
The work station of 00-12:00 is averaged production efficiency as ql (11:00-12:00)=3.0.Wherein, the state of workload saturation refers to
In a period of time, work station is to be completely in the busy stage, will not because order volume is too small and when the busy state of idle, be in work
This period of work amount saturation state, calculated work station production efficiency are only more accurately.
In the step S101 of the embodiment of the present invention, according to history wave time data, determine that current mechanism averagely produces effect
Rate includes: that the history wave time data include the production quantity Sg of work station in set period of time from current time forward
Duration T ' the g of unbound order status is in work station；Production efficiency=Sg/ (Tg-T ' g) of work station, Tg are indicated from working as
The duration of set period of time from the preceding moment forward；According to the production efficiency at all working station and work station quantity, determine current
Work station is averaged production efficiency.Preferably, it can refer in the set period of time from current time forward and be played from current time
Toward the period of previous hour, such as: current time is 11:20, then plays the period of past previous hour just from current time
It is 10:20-11:20；It is also possible across wave (adhering to different waves separately) herein, it is intended merely to obtain nearest a period of time
Production capacity.The condition of production for inquiring each work station in this period, since obtained production quantity is likely to be not
The production capacity of saturation, the duration of all unbound orders of work station that skim obtain work station and are in saturated
Time span Tg-T ' g；Or it can find at the beginning of work station binds order every time and complete from history wave time data
Time, remaining time are exactly the period for not binding any order.
In the step S101 of the embodiment of the present invention, according to history wave time data, the average production of current elevator is determined
Efficiency includes: that the history wave time data include the lift tank number of elevator in set period of time from current time forward
The Sj and in running order duration Tj of elevator；Production efficiency=Sj/Tj of elevator；Since a multilayer shuttle shelf are
Binding production is carried out with multiple elevators, so also to determine according to the production efficiency and elevator quantity of all elevators
The average production efficiency of current elevator.Preferably, can also refer in the set period of time from current time forward here
The period toward previous hour is played from current time.
In the step S102 of the embodiment of the present invention, it is averaged production efficiency, the history wave according to the current mechanism
The work station of secondary period is averaged production efficiency, and prediction averagely produces effect when the work station of next wave time period of prewave time
Rate, comprising: according to the period when prewave time, determine that the work station of history wave time period identical with the period is averagely raw
Efficiency is produced, and the work station of history wave time period identical with next wave time period when prewave time averagely produces effect
Rate；Work station when next wave time period of prewave time is calculated using formula q (t+1)=(ql (t)/q ' (t)) * ql (t+1)
Average production efficiency q (t+1)；Wherein, ql (t+1) indicate with when next wave of prewave time time period, identical history wave was secondary
Between the work station of section be averaged production efficiency, ql (t) indicates that the work station of history wave time period identical with the period is averaged
Production efficiency, q ' (t) indicate that current mechanism be averaged production efficiency, and t indicates the period when prewave time, and t+1 indicates to work as prewave
Secondary next wave time period.It is compared according to ql (t) in history and current q ' (t), if current production efficiency q ' (t) ratio
Efficiency ql (t) with time history is high, then predicts that the production efficiency of next non-incoming wave time also can be higher than history.Such as: when
The preceding moment is that 15:00:00 belongs to wave time 12:05-16:00, and next wave time period is 16:00-17:00, so prediction is worked as
The work station of next wave time period 16:00-17:00 of prewave time be averaged production efficiency q (16:00-17:00)=(ql (12:
05-16:00)/q′(15:00:00))*ql(16:00-17:00)。
In the embodiment of the present invention, it is contemplated that hardware operating condition, the equipment fault etc. being likely to occur in process of production are asked
The generation of topic, the time of failure and the number of devices to break down can all influence the prediction to next wave time production capacity, so
It is averagely produced in step S102 according to the be averaged work station of production efficiency, the history wave time period of the current mechanism
Efficiency, prediction after the work station of next wave of prewave time secondary period is averaged production efficiency, the method also includes: according to
History wave time data, determine that each shuttle and or elevator are in the average duration Tx of malfunction；Acquisition is currently at event
The shuttle quantity m of the barrier state and elevator quantity n for being currently at malfunction；Determine the shuttle for being in normal condition
It is total using accounting p2=1-n/ elevator using accounting p1=1-m/ shuttle sum, and the elevator in normal condition
Number.
Based on the above embodiment, it is contemplated that the quantity and equipment for the problem device that breaks down are in the duration of malfunction,
Work station based on next wave time period in the step S103 of the embodiment of the present invention be averaged production efficiency, described work as premise
The average production efficiency of the machine of liter, the duration of next wave time, work station quantity, elevator quantity predict next wave
The work station production capacity and elevator production capacity of period, comprising: use formula W q=q (t+1) * Tx*Ng*p1*p2+q
(t+1) * (Tb-Tx) * Ng calculates the work station production capacity Wq of next wave time period；Wherein, Ng indicates work station number
Amount, Tb indicate the duration of next wave time；By the average production efficiency of current elevator, the duration of next wave time, elevator quantity
And the product of the average option quantity of hopper, the elevator production capacity Cq as next wave time period.Wherein, expect
The average option quantity of case refers to that elevator often goes out a hopper, the average number of articles in hopper；Product between each storehouse
Class is different, and the average option quantity difference of the hopper of different storehouses is larger, but the article in same storehouse is all same category, together
The average option quantity of the hopper of different elevators is essentially identical in one storehouse.So the embodiment of the present invention is run in view of hardware
Situation and part abnormal conditions can more accurately predict following production capacity.
In the step S103 of the embodiment of the present invention, the work station based on next wave time period be averaged production efficiency,
The secondary duration of the average production efficiency of the current elevator, next wave, work station quantity, elevator quantity, predict institute
State the work station production capacity and elevator production capacity of next wave time period, comprising: by next wave time period
Work station is averaged duration, the product of work station quantity of production efficiency, next wave time, the work as next wave time period
Make station production capacity；By the flat of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper
Elevator production capacity of the product of equal option quantity as next wave time period.It can also indicate are as follows: described next
The duration * work station quantity of work station production capacity Wq=q (t+1) the * lower wave time of wave time period；When next wave time
Between section the current elevator of elevator production capacity Cq=an average production efficiency ct* lower wave time duration * elevator quantity *
The average option quantity of hopper.
Fig. 3 is the predicted value of history wave according to an embodiment of the present invention time and the contrast curve chart of actual value.The present invention is real
It applies in the step S104 of example, by the minimum in the work station production capacity and elevator production capacity of next wave time period
Value, the multilayer shuttle shelf production capacity predicted value as next wave time period, comprising: as shown in figure 3, according to history wave
Data determine the multilayer shuttle shelf production capacity actual value of history wave time period；Obtain the history wave time period
Multilayer shuttle shelf production capacity predicted value determines the multilayer shuttle shelf production capacity predicted value of the history wave time period
It is more as the history wave time period with the ratio of the multilayer shuttle shelf production capacity actual value of the history wave time period
The difference percentage of layer shuttle shelf production capacity；According to the difference percentage, difference hundred is determined in all history waves time
Divide than upper quartile P.Such as: a wave time time in the such as morning, what is predicted at that time is 1000, and actually production capacity is
800, illustrate the higher of prediction, difference percentage is exactly 80%, calculate the difference percentage of each history wave time: 80%,
60%, 70%, 80%, taking upper quartile is exactly 80%.The multilayer shuttle shelf production capacity prediction of next wave time period
Value Q=P*Min (Wq, Cq), wherein Min (Wq, Cq) indicates work station production capacity Wq and the institute of next wave time period
State the minimum value in the elevator production capacity Cq of next wave time period.In all history waves time of traversal, some history
There is in the idle time work station in the wave time time, illustrate that workload is unsaturated (order volume is inadequate).If when without the free time
Between, that is, illustrate that the wave is saturation；Preferably, the history wave of selection statistics saturation is secondary here.The embodiment of the present invention is according to going through
The predicted value and actual value of Shi Boci, to examine the production capacity for adjusting the multilayer shuttle shelf predicted, so that production capacity
Precision of prediction is higher.
In the step S104 of the embodiment of the present invention, by the work station production capacity and elevator of next wave time period
Minimum value in production capacity, after the multilayer shuttle shelf production capacity predicted value as next wave time period, the side
Method further include: by the current mechanism be averaged production efficiency, when prewave time residual time length, work station quantity, in normal shape
The shuttle of state uses the product of accounting using accounting and the elevator in normal condition, as when prewave time remaining time
The work station production capacity W of section0q；By the average production efficiency of current elevator, when prewave time residual time length, elevator quantity
And the product of the average option quantity of hopper, as the elevator production capacity C when prewave time remaining time section0q；It will be described
W0Q and C0Minimum value in q, as the multilayer shuttle shelf production capacity predicted value when prewave time remaining time section.The present invention is real
The multilayer shuttle shelf production capacity predicted value when the remaining time section in prewave time can be predicted in real time by applying example, for storage production
Going on smoothly for process provides advantageous reference.
In embodiments of the present invention, it joined the scheme of manual adjustment.Work station quantity is adjusted by field personnel's dynamic
Section, real-time change.Productivity ratio column are a regulation button all day, exception or the adjustable percentage of emergency case.System it is pre-
Survey always there is error or some artificial factors to lead to inaccuracy, according to artificial experience carry out operation make entire scheme more according to
Workability.
Fig. 4 is the signal of the basic module of the device of prediction multilayer shuttle shelf production capacity according to an embodiment of the present invention
Figure.As shown in figure 4, the embodiment of the invention provides a kind of devices 400 for predicting shuttle shelf production capacity, comprising:
Efficiency determination module 401, is used for: according to history wave time data, determining that the work station of history wave time period is average
Production efficiency, current mechanism are averaged production efficiency, the average production efficiency of current elevator；
EFFICIENCY PREDICTION module 402, is used for: being averaged production efficiency, the history wave time time according to the current mechanism
The work station of section be averaged production efficiency, and prediction is averaged production efficiency when the work station of next wave of prewave time secondary period；
The quasi- prediction module 403 of production capacity, is used for: the work station based on next wave time period is averaged production efficiency, institute
Duration, the work station quantity, elevator quantity of the average production efficiency of current elevator, next wave time are stated, described in prediction
The work station production capacity and elevator production capacity of next wave time period；
Predicted value determining module 404, is used for: the work station production capacity of next wave time period and elevator is raw
Minimum value in production capacity power, the multilayer shuttle shelf production capacity predicted value as next wave time period.
In the embodiment of the present invention, efficiency determination module 401 is also used to: the history wave time data include from current time
In set period of time forward, the production quantity Sg and work station of work station are in the duration T ' g of unbound order status；Work
Production efficiency=the Sg/ (Tg-T ' g) to stand, Tg indicate the duration of the set period of time from current time forward；According to all works
Make the production efficiency and work station quantity stood, determines that current mechanism is averaged production efficiency.
In the embodiment of the present invention, efficiency determination module 401 is also used to: the history wave time data include from current time
In set period of time forward, the lift tank number Sj and elevator of elevator in running order duration Tj；The life of elevator
Produce efficiency=Sj/Tj；According to the production efficiency of all elevators and elevator quantity, the average production effect of current elevator is determined
Rate.
In the embodiment of the present invention, EFFICIENCY PREDICTION module 402 is also used to: according to the period when prewave time, when determining with this
Between the work station of section identical history wave time period be averaged production efficiency, and with the secondary period phase of next wave when prewave time
With the work station of history wave time period be averaged production efficiency；Using formula q (t+1)=(ql (t)/q ' (t)) * ql (t+1)
It calculates when the work station of next wave time period of prewave time is averaged production efficiency q (t+1)；Wherein, ql (t+1) indicate with it is current
The work station of next wave time period of wave time identical history wave time period be averaged production efficiency, ql (t) indicate and this when
Between the work station of section identical history wave time period be averaged production efficiency, q ' (t) expression current mechanism is averaged production efficiency,
T indicates the period when prewave time, and t+1 indicates next wave time period when prewave time.
In the embodiment of the present invention, the quasi- prediction module 403 of production capacity is also used to: the work station of next wave time period is put down
Equal production efficiency, the duration of next wave time, the product of work station quantity, the work station production as next wave time period
Ability；By the average option number of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper
Elevator production capacity of the product of amount as next wave time period.
In the embodiment of the present invention, described device further includes fault statistics module, is used for: according to history wave time data, being determined
Each shuttle and or elevator are in the average duration Tx of malfunction；Obtain the shuttle number for being currently at malfunction
The amount m and elevator quantity n for being currently at malfunction；Determine that the shuttle in normal condition uses accounting p1=1-m/
Shuttle sum, and the elevator in normal condition use accounting p2=1-n/ elevator sum.
The quasi- prediction module 403 of production capacity is also used to: using formula W q=q (t+1) * Tx*Ng*p1*p2+q (t+1) * (Tb-
Tx) * Ng calculates the work station production capacity Wq of next wave time period；Wherein, Ng indicates work station quantity, and Tb is indicated
The duration of next wave time；By the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper
The product of average option quantity, the elevator production capacity Cq as next wave time period.It can also indicate are as follows: described
Work station production capacity Wq=q (t+1) * Tx* work station quantity * p1*p2+ql (t+1) * (next wave of next wave time period
Secondary duration-Tx) * work station quantity；The current elevator of elevator production capacity Cq=of next wave time period is put down
The average option quantity of the duration * elevator quantity * hopper of an equal production efficiency ct* lower wave time.
In the embodiment of the present invention, predicted value determining module 404 is also used to: according to history wave time data, determining history wave
The multilayer shuttle shelf production capacity actual value of period；Obtain the multilayer shuttle shelf production energy of the history wave time period
Power predicted value determines multilayer shuttle shelf production capacity predicted value and the history wave time time of the history wave time period
The ratio of the multilayer shuttle shelf production capacity actual value of section, the multilayer shuttle shelf production capacity as the history wave time period
Difference percentage；According to the difference percentage, difference percentage upper quartile P is determined in all history waves time；Under
The multilayer shuttle shelf production capacity predicted value Q=P*Min (Wq, Cq) of one wave time period, wherein Min (Wq, Cq) indicates institute
It states in the work station production capacity Wq and the elevator production capacity Cq of next wave time period of next wave time period
Minimum value.
In the embodiment of the present invention, predicted value determining module 404 is also used to: by the current mechanism be averaged production efficiency,
When prewave time residual time length, work station quantity, the shuttle in normal condition use accounting and mentioning in normal condition
The machine of liter uses the product of accounting, as the work station production capacity W when prewave time remaining time section0q；By the flat of current elevator
Equal production efficiency, when prewave time residual time length, elevator quantity and hopper average option quantity product, as working as prewave
The elevator production capacity C of secondary remaining time section0q；By the W0Q and C0Minimum value in q, as when prewave time remaining time
The multilayer shuttle shelf production capacity predicted value of section.
Fig. 5 is shown can be using the method or apparatus of the prediction multilayer shuttle shelf production capacity of the embodiment of the present invention
Exemplary system architecture 500.
As shown in figure 5, system architecture 500 may include terminal device 501,502,503, network 504 and server 505.
Network 504 between terminal device 501,502,503 and server 505 to provide the medium of communication link.Network 504 can be with
Including various connection types, such as wired, wireless communication link or fiber optic cables etc..
User can be used terminal device 501,502,503 and be interacted by network 504 with server 505, to receive or send out
Send message etc..Various telecommunication customer end applications, such as the application of shopping class, net can be installed on terminal device 501,502,503
The application of page browsing device, searching class application, instant messaging tools, mailbox client, social platform software etc..
Terminal device 501,502,503 can be the various electronic equipments with display screen and supported web page browsing, packet
Include but be not limited to smart phone, tablet computer, pocket computer on knee and desktop computer etc..
Server 505 can be to provide the server of various services, such as utilize terminal device 501,502,503 to user
The shopping class website browsed provides the back-stage management server supported.Back-stage management server can believe the product received
The data such as breath inquiry request carry out the processing such as analyzing, and processing result is fed back to terminal device.
It should be noted that the embodiment of the present invention provided by prediction multilayer shuttle shelf production capacity method generally by
Server 505 executes, and correspondingly, the device of prediction multilayer shuttle shelf production capacity is generally positioned in server 505.
It should be understood that the number of terminal device, network and server in Fig. 5 is only schematical.According to realization need
It wants, can have any number of terminal device, network and server.
The embodiments of the present invention also provide a kind of electronic equipment and a kind of computer-readable medium.
The electronic equipment of the embodiment of the present invention includes: one or more processors；Storage device, for storing one or more
A program, when one or more of programs are executed by one or more of processors, so that one or more of processing
The method that device realizes prediction multilayer shuttle shelf production capacity provided in an embodiment of the present invention.
The computer-readable medium of the embodiment of the present invention, is stored thereon with computer program, and described program is held by processor
The method of prediction multilayer shuttle shelf production capacity provided in an embodiment of the present invention is realized when row.
Below with reference to Fig. 6, it illustrates the computer systems 600 for the terminal device for being suitable for being used to realize the embodiment of the present invention
Structural schematic diagram.Terminal device shown in Fig. 6 is only an example, function to the embodiment of the present invention and should not use model
Shroud carrys out any restrictions.
As shown in fig. 6, computer system 600 includes central processing unit (CPU) 601, it can be read-only according to being stored in
Program in memory (ROM) 602 or be loaded into the program in random access storage device (RAM) 603 from storage section 608 and
Execute various movements appropriate and processing.In RAM603, also it is stored with system 600 and operates required various programs and data.
CPU601, ROM602 and RAM603 are connected with each other by bus 604.Input/output (I/O) interface 605 is also connected to bus
604。
I/O interface 605 is connected to lower component: the importation 606 including keyboard, mouse etc.；It is penetrated including such as cathode
The output par, c 607 of spool (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.；Storage section 608 including hard disk etc.；
And the communications portion 609 of the network interface card including LAN card, modem etc..Communications portion 609 via such as because
The network of spy's net executes communication process.Driver 610 is also connected to I/O interface 605 as needed.Detachable media 611, such as
Disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 610, in order to read from thereon
Computer program be mounted into storage section 608 as needed.
Particularly, disclosed embodiment, the process described above with reference to flow chart may be implemented as counting according to the present invention
Calculation machine software program.For example, embodiment disclosed by the invention includes a kind of computer program product comprising be carried on computer
Computer program on readable medium, the computer program include the program code for method shown in execution flow chart.?
In such embodiment, which can be downloaded and installed from network by communications portion 609, and/or from can
Medium 611 is dismantled to be mounted.When the computer program is executed by central processing unit (CPU) 601, system of the invention is executed
The above-mentioned function of middle restriction.
It should be noted that computer-readable medium shown in the present invention can be computer-readable signal media or meter
Calculation machine readable storage medium storing program for executing either the two any combination.Computer readable storage medium for example can be --- but not
Be limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.Meter
The more specific example of calculation machine readable storage medium storing program for executing can include but is not limited to: have the electrical connection, just of one or more conducting wires
Taking formula computer disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed read-only storage
Device (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device,
Or above-mentioned any appropriate combination.In the present invention, computer readable storage medium can be it is any include or storage journey
The tangible medium of sequence, the program can be commanded execution system, device or device use or in connection.And at this
In invention, computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited
In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can
Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for
By the use of instruction execution system, device or device or program in connection.Include on computer-readable medium
Program code can transmit with any suitable medium, including but not limited to: wireless, electric wire, optical cable, RF etc. are above-mentioned
Any appropriate combination.
Flow chart and block diagram in attached drawing are illustrated according to the system of various embodiments of the invention, method and computer journey
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part of one module, program segment or code of table, a part of above-mentioned module, program segment or code include one or more
Executable instruction for implementing the specified logical function.It should also be noted that in some implementations as replacements, institute in box
The function of mark can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are practical
On can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it wants
It is noted that the combination of each box in block diagram or flow chart and the box in block diagram or flow chart, can use and execute rule
The dedicated hardware based systems of fixed functions or operations is realized, or can use the group of specialized hardware and computer instruction
It closes to realize.
Being described in module involved in the embodiment of the present invention can be realized by way of software, can also be by hard
The mode of part is realized.Described module also can be set in the processor, for example, can be described as: a kind of processor, packet
It includes: efficiency determination module, EFFICIENCY PREDICTION module, the quasi- prediction module of production capacity, predicted value determining module.Wherein, the name of these modules
Claim not constituting the restriction to the module itself under certain conditions, for example, efficiency determination module is also described as " being used for
Determine the module of average production efficiency ".
As on the other hand, the present invention also provides a kind of computer-readable medium, which be can be
Included in equipment described in above-described embodiment；It is also possible to individualism, and without in the supplying equipment.Above-mentioned calculating
Machine readable medium carries one or more program, when said one or multiple programs are executed by the equipment, makes
The equipment includes: to determine that the work station of history wave time period is averaged production efficiency, work at present according to history wave time data
It stands average production efficiency, the average production efficiency of current elevator；According to the current mechanism be averaged production efficiency, described go through
The work station of Shi Boci period is averaged production efficiency, and prediction is averagely produced when the work station of next wave time period of prewave time
Efficiency；Work station based on next wave time period be averaged production efficiency, the average production efficiency of the current elevator,
Duration, the work station quantity, elevator quantity of next wave time predict that the work station of next wave time period produces energy
Power and elevator production capacity；By in the work station production capacity and elevator production capacity of next wave time period most
Small value, the multilayer shuttle shelf production capacity predicted value as next wave time period.
The method of prediction multilayer shuttle shelf production capacity according to an embodiment of the present invention can be seen that because comprehensively considering
History production efficiency and current production efficiency, so overcoming in the prior art due to excessively relying on the sorting energy in historical data
The peak value of power and caused by production capacity the not high problem technical problem of precision of prediction, and then the multilayer for reaching prediction shuttles
Shelf production capacity result is more acurrate.
Above-mentioned specific embodiment, does not constitute a limitation on the scope of protection of the present invention.Those skilled in the art should be bright
It is white, design requirement and other factors are depended on, various modifications, combination, sub-portfolio and substitution can occur.It is any
Made modifications, equivalent substitutions and improvements etc. within the spirit and principles in the present invention, should be included in the scope of the present invention
Within.
Claims (18)
1. a kind of method for predicting multilayer shuttle shelf production capacity characterized by comprising
According to history wave time data, determine that be averaged production efficiency, current mechanism of the work station of history wave time period is averagely given birth to
Produce efficiency, the average production efficiency of current elevator；
It is averaged production efficiency according to the be averaged work station of production efficiency, the history wave time period of the current mechanism, in advance
It surveys when the work station of next wave time period of prewave time is averaged production efficiency；
Work station based on next wave time period be averaged production efficiency, the average production efficiency of the current elevator,
Duration, the work station quantity, elevator quantity of next wave time predict that the work station of next wave time period produces energy
Power and elevator production capacity；
By the minimum value in the work station production capacity and elevator production capacity of next wave time period, as next wave
The multilayer shuttle shelf production capacity predicted value of secondary period.
2. the method according to claim 1, wherein being averaged production efficiency, described according to the current mechanism
The work station of history wave time period be averaged production efficiency, and prediction is averagely given birth to when the work station of next wave time period of prewave time
Produce efficiency, comprising:
According to the period when prewave time, determine that the work station of history wave time period identical with the period averagely produces effect
Rate, and the work station of history wave time period identical with next wave time period when prewave time are averaged production efficiency；
Work station when next wave time period of prewave time is calculated using formula q (t+1)=(ql (t)/q ' (t)) * ql (t+1)
Average production efficiency q (t+1)；
Wherein, ql (t+1) indicates that the work station of history wave time period identical with next wave time period when prewave time is flat
Equal production efficiency, ql (t) indicate that the work station of identical with period history wave secondary period is averaged production efficiency, q ' (t)
Indicate that current mechanism be averaged production efficiency, t indicates the period when prewave time, and t+1 is indicated when next wave of prewave time is secondary
Between section.
3. according to the method described in claim 2, it is characterized in that, the work station based on next wave time period is averagely raw
The secondary duration of efficiency, the average production efficiency of the current elevator, next wave, work station quantity, elevator quantity are produced,
Predict the work station production capacity and elevator production capacity of next wave time period, comprising:
The work station of next wave time period be averaged the secondary duration of production efficiency, next wave, the product of work station quantity,
Work station production capacity as next wave time period；
By the average option number of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper
Elevator production capacity of the product of amount as next wave time period.
4. according to the method described in claim 2, it is characterized in that, being averaged production efficiency, described according to the current mechanism
The work station of history wave time period be averaged production efficiency, and prediction is averagely given birth to when the work station of next wave time period of prewave time
After producing efficiency, the method also includes:
According to history wave time data, determine that each shuttle and or elevator are in the average duration Tx of malfunction；
Acquisition is currently at the shuttle quantity m of malfunction and is currently at the elevator quantity n of malfunction；
Determine that the shuttle in normal condition uses accounting p1=1-m/ shuttle sum, and the promotion in normal condition
Machine uses accounting p2=1-n/ elevator sum；
Work station based on next wave time period be averaged production efficiency, the average production efficiency of the current elevator,
Duration, the work station quantity, elevator quantity of next wave time predict that the work station of next wave time period produces energy
Power and elevator production capacity, comprising:
Using formula W q=q (t+1) * Tx*Ng*p1*p2+q (t+1) * (Tb-Tx) * Ng, next wave time period is calculated
Work station production capacity Wq；
Wherein, Ng indicates work station quantity, and Tb indicates the duration of next wave time；
By the average option number of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper
The product of amount, the elevator production capacity Cq as next wave time period.
5. according to the method described in claim 4, it is characterized in that, by the work station production capacity of next wave time period
With the minimum value in elevator production capacity, as next wave time period multilayer shuttle shelf production capacity predicted value it
Afterwards, the method also includes:
By the current mechanism be averaged production efficiency, when prewave time residual time length, work station quantity, wearing in normal condition
Shuttle car uses the product of accounting using accounting and the elevator in normal condition, as the work when prewave time remaining time section
Make station production capacity W0q；
By the average production efficiency of current elevator, when the average option of prewave time residual time length, elevator quantity and hopper
The product of quantity, as the elevator production capacity C when prewave time remaining time section0q；
By the W0Q and C0Minimum value in q, as the multilayer shuttle shelf production capacity prediction when prewave time remaining time section
Value.
6. the method according to claim 1, wherein by the work station production capacity of next wave time period
It is wrapped with the minimum value in elevator production capacity as the multilayer shuttle shelf production capacity predicted value of next wave time period
It includes:
According to history wave time data, the multilayer shuttle shelf production capacity actual value of history wave time period is determined；
The multilayer shuttle shelf production capacity predicted value for obtaining the history wave time period determines the history wave time period
Multilayer shuttle shelf production capacity predicted value and the multilayer shuttle shelf production capacity actual value of the history wave time period
Ratio, the difference percentage of the multilayer shuttle shelf production capacity as the history wave time period；
According to the difference percentage, difference percentage upper quartile P is determined in all history waves time；
The multilayer shuttle shelf production capacity predicted value Q=P*Min (Wq, Cq) of next wave time period, wherein Min (Wq, Cq)
Indicate the work station production capacity Wq and the elevator production capacity of next wave time period of next wave time period
Minimum value in Cq.
7. the method according to claim 1, wherein determining that current mechanism is average according to history wave time data
Production efficiency includes:
The history wave time data include the production quantity Sg and work of work station in the set period of time from current time forward
Make the duration T ' g that station is in unbound order status；
Production efficiency=Sg/ (Tg-T ' g) of work station, Tg indicate the duration of the set period of time from current time forward；
According to the production efficiency at all working station and work station quantity, determine that current mechanism is averaged production efficiency.
8. the method according to claim 1, wherein determining the flat of current elevator according to history wave time data
Equal production efficiency includes:
The history wave time data include in the set period of time from current time forward, the lift tank number Sj of elevator and mention
The in running order duration Tj of the machine of liter；
Production efficiency=Sj/Tj of elevator；
According to the production efficiency of all elevators and elevator quantity, the average production efficiency of current elevator is determined.
9. a kind of device for predicting shuttle shelf production capacity characterized by comprising
Efficiency determination module is used for: according to history wave time data, determining that the work station of history wave time period averagely produces effect
Rate, current mechanism are averaged production efficiency, the average production efficiency of current elevator；
EFFICIENCY PREDICTION module, is used for: being averaged the work of production efficiency, the history wave time period according to the current mechanism
It stands average production efficiency, prediction is averaged production efficiency when the work station of next wave time period of prewave time；
The quasi- prediction module of production capacity, is used for: the work station based on next wave time period be averaged production efficiency, described work as premise
The average production efficiency of the machine of liter, the duration of next wave time, work station quantity, elevator quantity predict next wave
The work station production capacity and elevator production capacity of period；
Predicted value determining module, is used for: by the work station production capacity and elevator production capacity of next wave time period
In minimum value, the multilayer shuttle shelf production capacity predicted value as next wave time period.
10. device according to claim 9, which is characterized in that EFFICIENCY PREDICTION module is also used to:
According to the period when prewave time, determine that the work station of history wave time period identical with the period averagely produces effect
Rate, and the work station of history wave time period identical with next wave time period when prewave time are averaged production efficiency；
Work station when next wave time period of prewave time is calculated using formula q (t+1)=(ql (t)/q ' (t)) * ql (t+1)
Average production efficiency q (t+1)；
Wherein, ql (t+1) indicates that the work station of history wave time period identical with next wave time period when prewave time is flat
Equal production efficiency, ql (t) indicate that the work station of identical with period history wave secondary period is averaged production efficiency, q ' (t)
Indicate that current mechanism be averaged production efficiency, t indicates the period when prewave time, and t+1 is indicated when next wave of prewave time is secondary
Between section.
11. device according to claim 10, which is characterized in that the quasi- prediction module of production capacity is also used to:
The work station of next wave time period be averaged the secondary duration of production efficiency, next wave, the product of work station quantity,
Work station production capacity as next wave time period；
By the average option number of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper
Elevator production capacity of the product of amount as next wave time period.
12. device according to claim 10, which is characterized in that described device further includes fault statistics module, is used for:
According to history wave time data, determine that each shuttle and or elevator are in the average duration Tx of malfunction；
Acquisition is currently at the shuttle quantity m of malfunction and is currently at the elevator quantity n of malfunction；
Determine that the shuttle in normal condition uses accounting p1=1-m/ shuttle sum, and the promotion in normal condition
Machine uses accounting p2=1-n/ elevator sum；
The quasi- prediction module of production capacity is also used to:
Using formula W q=q (t+1) * Tx*Ng*p1*p2+q (t+1) * (Tb-Tx) * Ng, next wave time period is calculated
Work station production capacity Wq；
Wherein, Ng indicates work station quantity, and Tb indicates the duration of next wave time；
By the average option number of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper
The product of amount, the elevator production capacity Cq as next wave time period.
13. device according to claim 12, which is characterized in that predicted value determining module is also used to:
By the current mechanism be averaged production efficiency, when prewave time residual time length, work station quantity, wearing in normal condition
Shuttle car uses the product of accounting using accounting and the elevator in normal condition, as the work when prewave time remaining time section
Make station production capacity W0q；
By the average production efficiency of current elevator, when the average option of prewave time residual time length, elevator quantity and hopper
The product of quantity, as the elevator production capacity C when prewave time remaining time section0q；
By the W0Q and C0Minimum value in q, as the multilayer shuttle shelf production capacity prediction when prewave time remaining time section
Value.
14. device according to claim 9, which is characterized in that predicted value determining module is also used to:
According to history wave time data, the multilayer shuttle shelf production capacity actual value of history wave time period is determined；
The multilayer shuttle shelf production capacity predicted value for obtaining the history wave time period determines the history wave time period
Multilayer shuttle shelf production capacity predicted value and the multilayer shuttle shelf production capacity actual value of the history wave time period
Ratio, the difference percentage of the multilayer shuttle shelf production capacity as the history wave time period；
According to the difference percentage, difference percentage upper quartile P is determined in all history waves time；
The multilayer shuttle shelf production capacity predicted value Q=P*Min (Wq, Cq) of next wave time period, wherein Min (Wq, Cq)
Indicate the work station production capacity Wq and the elevator production capacity of next wave time period of next wave time period
Minimum value in Cq.
15. device according to claim 9, which is characterized in that efficiency determination module is also used to:
The history wave time data include the production quantity Sg and work of work station in the set period of time from current time forward
Make the duration T ' g that station is in unbound order status；
Production efficiency=Sg/ (Tg-T ' g) of work station, Tg indicate the duration of the set period of time from current time forward；
According to the production efficiency at all working station and work station quantity, determine that current mechanism is averaged production efficiency.
16. device according to claim 9, which is characterized in that efficiency determination module is also used to:
The history wave time data include in the set period of time from current time forward, the lift tank number Sj of elevator and mention
The in running order duration Tj of the machine of liter；
Production efficiency=Sj/Tj of elevator；
According to the production efficiency of all elevators and elevator quantity, the average production efficiency of current elevator is determined.
17. a kind of electronic equipment characterized by comprising
One or more processors；
Storage device, for storing one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
Now such as method described in any one of claims 1-8.
18. a kind of computer-readable medium, is stored thereon with computer program, which is characterized in that described program is held by processor
Such as method described in any one of claims 1-8 is realized when row.
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