CN107092974A - Dispense pressure prediction method and device - Google Patents
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Abstract
The embodiment of the present application provides a kind of dispatching pressure prediction method and device.Dispatching pressure prediction method includes：At least one characteristic parameter in dispatching region is obtained, at least one characteristic parameter embodies dispatching region and matches somebody with somebody pressurization pressure in present period；According at least one characteristic parameter, dispatching force parameter of the prediction dispatching region within the period in future；According to dispatching force parameter, it is determined that dispatching pressure rating of the dispatching region within the period in future.Look-ahead with pressurization pressure can be realized using the embodiment of the present application, be easy to take countermeasure in time, the scheduling pressure for being conducive to the pressure and logistic dispatching system that mitigate dispatching region in time to face.
Description
Technical field
The application is related to Internet technical field, more particularly to a kind of dispatching pressure prediction method and device.
Background technology
With the fast development of Internet technology, the application based on internet is more and more, for example, take out class application, shopping
Class application.Based on these applications, user is home-confined can to obtain the article needed for oneself.These are applied in the same of convenient user
When, item dispenser problem is also faced with, then logistic dispatching system arises at the historic moment.The main task of logistic dispatching system is to order
Dispatching person is singly distributed to, article is sent to user by dispatching person.
Marketing activity etc. is released in bad weather, trade company in particular cases, and some dispatching regions are likely to order occur
Amount abruptly increase, order overstock excessive phenomenon, cause logistic dispatching system to face immense pressure.Main solution is at present,
Manual observation respectively dispenses the freight supply and demand situation in region, judges whether quick-fried one-state occur；When judging to occur quick-fried one-state,
List is entered to reduce in the dispatching region by extending dispatching duration, cancelling the counter-measures such as trade company's activity according to artificial experience
Amount, mitigates the pressure of logistic dispatching system, it is ensured that under conditions of current logistics transport power, digestion to order and user is taken
The guarantee of business.
The content of the invention
Inventor is tracked to the effect of existing solution, is found：Existing solution excessively relies on artificial warp
Test, judge that there is retardance, it is less efficient, it is impossible to mitigate the scheduling that the pressure and logistic dispatching system in dispatching region face in time
Pressure.
Based on a kind of above-mentioned, dispatching pressure prediction method of the embodiment of the present application offer, including：
At least one characteristic parameter in dispatching region is obtained, at least one characteristic parameter embodies the dispatching region and existed
Match somebody with somebody pressurization pressure in present period；
According at least one characteristic parameter, dispatching force parameter of the dispatching region within the period in future is predicted；
According to the dispatching force parameter, dispatching pressure rating of the dispatching region within the period in future is determined.
In an optional embodiment, the obtaining step of at least one characteristic parameter, including：Obtain the dispatching area
Allocation data of the domain in present period；From the allocation data, at least one characteristic parameter is extracted.
In an optional embodiment, at least one characteristic parameter includes fisrt feature parameter and second feature is joined
Number；Correspondingly, the extraction step of at least one characteristic parameter, including：From the allocation data, described first is extracted special
Levy parameter；From the allocation data, the corresponding primary data of the second feature parameter is extracted；The primary data is analyzed,
To obtain the second feature parameter.
In an optional embodiment, the fisrt feature parameter includes following at least one：Weather conditions, current pressure
Grade；The second feature parameter includes following at least one：Dispatching person's quantity, current pressure values, overstocked order volume, order collection
Moderate, order growth rate, order digestion rate.
In an optional embodiment, the prediction steps of the dispatching force parameter, including：According at least one feature
Parameter, runs the period in future corresponding forecast model, to obtain the dispatching force parameter.
In an optional embodiment, before the period in future corresponding forecast model is run, methods described is also wrapped
Include：Obtain characteristic parameter of the dispatching region in multiple historical periods；The multiple historical period and the period in future
Belong to the same period；Model training is carried out according to the characteristic parameter in the multiple historical period, to obtain the prediction mould
Type.
In an optional embodiment, the dispatching force parameter includes following at least one：Order averagely dispenses duration, most
The average dispatching duration of slow N% orders, dispense punctual rate, order maximum dispatching duration, order minimum dispatching duration, it is empty run away from
From；Wherein, N>0.
In an optional embodiment, methods described also includes：It is determined that the decompression side matched with the dispatching pressure rating
Case；Perform the execution prompt message of the decompression schedule or the output decompression schedule.
In an optional embodiment, the determination step of the decompression schedule, including：It is corresponding in the dispatching power grade
Dispense under environment, simulation performs at least one candidate's decompression schedule；From at least one candidate's decompression schedule, selection simulation
As a result candidate's decompression schedule of preset requirement is met, the decompression schedule is used as.
Correspondingly, the embodiment of the present application also provides a kind of dispatching pressure prediction device, including：
First acquisition unit, at least one characteristic parameter for obtaining dispatching region, at least one characteristic parameter
Embody the dispatching region and match somebody with somebody pressurization pressure in present period；
Predicting unit, for according at least one characteristic parameter, predicting the dispatching region within the period in future
Dispense force parameter；
Determining unit, for according to the dispatching force parameter, determining dispatching pressure of the dispatching region within the period in future
Power grade.
In an optional embodiment, the first acquisition unit includes：Obtain subelement and extract subelement；Wherein,
Subelement is obtained, for obtaining allocation data of the dispatching region in present period；Subelement is extracted, for matching somebody with somebody from described
Send in data, extract at least one characteristic parameter.
In an optional embodiment, at least one characteristic parameter includes fisrt feature parameter and second feature is joined
Number；Correspondingly, it is described extraction subelement specifically for：From the allocation data, the fisrt feature parameter is extracted；From described
In allocation data, the corresponding primary data of the second feature parameter is extracted；The primary data is analyzed, to obtain described second
Characteristic parameter.
In an optional embodiment, the fisrt feature parameter includes following at least one：Weather conditions, current pressure
Grade；The second feature parameter includes following at least one：Dispatching person's quantity, current pressure values, overstocked order volume, order collection
Moderate, order growth rate, order digestion rate.
In an optional embodiment, the predicting unit specifically for：According at least one characteristic parameter, operation
Period in future corresponding forecast model, to obtain the dispatching force parameter.
In an optional embodiment, described device also includes：Second acquisition unit and model training unit；Wherein,
Two acquiring units, for obtaining characteristic parameter of the dispatching region in multiple historical periods；The multiple historical period with
The period in future belongs to the same period；Model training unit, for according to the characteristic parameter in the multiple historical period
Model training is carried out, to obtain the forecast model.
In an optional embodiment, the dispatching force parameter includes following at least one：Order averagely dispenses duration, most
The average dispatching duration of slow N% orders, dispense punctual rate, order maximum dispatching duration, order minimum dispatching duration, it is empty run away from
From；Wherein, N>0.
In an optional embodiment, described device also includes：Reduced pressure treatment unit；The determining unit is additionally operable to：Really
The fixed decompression schedule matched with the dispatching pressure rating；Correspondingly, reduced pressure treatment unit, for perform the decompression schedule or
Export the execution prompt message of the decompression schedule.
In an optional embodiment, the determining unit specifically for：In the corresponding dispatching ring of the dispatching power grade
Under border, simulation performs at least one candidate's decompression schedule；From at least one candidate's decompression schedule, selection analog result expires
Candidate's decompression schedule of sufficient preset requirement, is used as the decompression schedule.
In the embodiment of the present application, according to characteristic parameter with pressurization pressure of the dispatching region in present period is embodied, in advance
It is measured the dispatching force parameter for sending region within the period in future；Dispatching force parameter based on dispatching region within the period in future, it is determined that
Dispatching pressure rating of the region within the period in future is dispensed, artificial experience is eliminated the reliance on, efficiency is higher, and be in quick-fried one-state
Before generation, the look-ahead with pressurization pressure is realized, is easy to take countermeasure in time, be conducive to mitigating dispatching region in time
The scheduling pressure that pressure and logistic dispatching system face.
Brief description of the drawings
Accompanying drawing described herein is used for providing further understanding of the present application, constitutes the part of the application, this Shen
Schematic description and description please is used to explain the application, does not constitute the improper restriction to the application.In the accompanying drawings：
The schematic flow sheet for the dispatching pressure prediction method that Fig. 1 provides for the embodiment of the application one；
The schematic flow sheet for the dispatching pressure prediction method that Fig. 2 provides for another embodiment of the application；
The schematic flow sheet for the dispatching pressure prediction method that Fig. 3 provides for the another embodiment of the application；
The structural representation for the dispatching pressure prediction device that Fig. 4 provides for the another embodiment of the application；
The structural representation for the dispatching pressure prediction device that Fig. 5 provides for the another embodiment of the application.
Embodiment
To make the purpose, technical scheme and advantage of the application clearer, below in conjunction with the application specific embodiment and
Technical scheme is clearly and completely described corresponding accompanying drawing.Obviously, described embodiment is only the application one
Section Example, rather than whole embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not doing
Go out the every other embodiment obtained under the premise of creative work, belong to the scope of the application protection.
In logistics distribution application scenarios, marketing activity etc. is released in particular cases in bad weather, trade company, some dispatchings
Region is likely to order volume abruptly increase, order occur to overstock excessive phenomenon, causes to dispense the excessive with pressurization pressure of region, logistics
Scheduling system also faces immense pressure.Prior art judges whether dispatching region quick-fried one-state occurs based on artificial experience, is sentencing
During the quick-fried one-state of disconnected appearance, counter-measure is taken, this mode has retardance, less efficient, it is impossible to mitigate dispatching area in time
The scheduling pressure that the pressure and logistic dispatching system in domain face.
In view of the above-mentioned problems, the embodiment of the present application provides a solution, cardinal principle is：Worked as based on dispatching region
Dispatching pressure condition in the preceding period, look-ahead dispenses dispatching pressure rating of the region within the period in future, is no longer dependent on
Artificial experience, and can be easy to take counter-measure in time with look-ahead, it is to avoid there is order volume abruptly increase, ordered in dispatching region
It is single to overstock excessive phenomenon, to ensure dispatching region under conditions of existing logistics transport power, digestion to order and to user
The guarantee of service.
Below in conjunction with specific embodiment, technical scheme is described in detail.
The schematic flow sheet for the dispatching pressure prediction method that Fig. 1 provides for the embodiment of the application one.As shown in figure 1, described
Method includes：
101st, at least one characteristic parameter in dispatching region is obtained, at least one characteristic parameter embodies dispatching region and existed
Match somebody with somebody pressurization pressure in present period.
102nd, according at least one characteristic parameter, dispatching force parameter of the prediction dispatching region within the period in future.
103rd, the dispatching force parameter according to dispatching region within the period in future, it is determined that dispatching region matching somebody with somebody within the period in future
Pressurization pressure grade.
In the present embodiment, the scope in dispatching region is not limited, can be according to application demand adaptability definition dispatching area
The scope in domain.For example, dispatching region can be able to be either provincial region or can be with the region of City-level
Region of commercial circle level, etc..The commercial circle refers to the business activity area in city.
In the present embodiment, it is necessary to which according to dispatching pressure condition of the region in present period is dispensed, prediction dispenses region
Dispatching pressure rating within the period in future.Dispensing dispatching pressure condition of the region in present period can be existed by dispensing region
At least one characteristic parameter in present period embodies.Thus it is possible at least one characteristic parameter in dispatching region is obtained,
At least one characteristic parameter refers to that the parameter of dispatching pressure condition of the dispatching region in present period can be embodied.Citing
Illustrate, at least one characteristic parameter can include：Weather conditions, current pressure grade, dispatching person's quantity, current pressure values, product
Any dispatching region that can embody such as pressure order volume, order concentration degree, order growth rate and order digestion rate is current
The parameter of dispatching pressure condition in period.
In the present embodiment, present period refers to a period of time before current time and current time, specific time
Depending on the visual application demand of numerical value, such as present period can be nearest 2 days, 1 day, 1 hour, 2 hours, 3 hours, 50 minutes,
30 minutes etc..Correspondingly, the period in future can be a period of time after current time, such as after being current time
2 days, 1 day, 1 hour, 2 hours, 3 hours, 50 minutes, 40 minutes, 20 minutes.What deserves to be explained is, the time of present period is long
Degree be able to can also be differed with the time span of period in future with identical.
Based on above-mentioned at least one characteristic parameter, dispatching force parameter of the dispatching region within the period in future can be predicted.Institute
Stating dispatching force parameter is used to embody dispatching power (or be logistics transport power) of the dispatching region within the period in future.The present embodiment is not right
The dispatching force parameter is defined, and every parameter that can embody dispatching power is applied to the embodiment of the present application.In general,
The dispatching power dispensed in region is stronger, and the dispatching speed of order is faster in dispatching region, and the quantity of overtime order is fewer, order
Averagely dispatching duration is shorter, and total time-out duration is shorter, and the order total amount dispensed within the same time is bigger, the empty race of dispatching person
Apart from fewer, etc..Based on this, dispatching force parameter of the dispatching region within the period in future can be but not limited to following at least one
Kind：Dispense order total amount of the region within the period in future, the average dispatching duration of order, the quantity of overtime order, dispatching punctual
The maximum dispatching duration of rate, total time-out duration, order, order minimum dispatching duration, empty race distance etc..
The dispatching power for dispensing region is stronger, means that the order backlog dispensed in region is less to a certain extent, and
The ability for tackling order volume abruptly increase is relatively strong, then the dispatching pressure rating dispensed in region is relatively low；Opposite, dispense area
Dispatching power in domain is weaker, it is meant that the order backlog in dispatching region is more, and the ability phase of reply order volume abruptly increase
To poorer, then the dispatching pressure rating dispensed in region can rise.Further, embodied with reference to dispatching force parameter in dispatching region
Power, dispatching force parameter that then can be based on above-mentioned dispatching region within the period in future are dispensed, it is determined that dispatching region is in the period in future
Interior dispatching pressure rating.
Further, the dispatching pressure rating based on dispatching region within the period in future, can be in present period using corresponding
Counter-measure, without being adjusted again after phenomenon occurs when order volume abruptly increase, order backlog be more etc., can not only be reduced
Dispense region and match somebody with somebody pressurization pressure within the period in future, alleviate the scheduling pressure of logistic dispatching system, and benign follow can be formed
Ring, it is ensured that dispatching region at any period it is interior can under conditions of existing logistics transport power, digestion to order and to
The guarantee of family service.
In the present embodiment, according to characteristic parameter with pressurization pressure of the dispatching region in present period is embodied, it is measured in advance
Send dispatching force parameter of the region within the period in future；Dispatching force parameter based on dispatching region within the period in future, it is determined that dispatching
Dispatching pressure rating of the region within the period in future, eliminates the reliance on artificial experience, it is determined that the efficiency of dispatching pressure rating is higher, and
And be before the generation of quick-fried one-state, to realize the look-ahead with pressurization pressure, be easy to take countermeasure in time, be conducive in time
Mitigate the scheduling pressure that the pressure and logistic dispatching system in dispatching region face.
In above-described embodiment or following embodiments, obtain and match somebody with somebody pressurization pressure in present period for embodiment dispatching region
At least one characteristic parameter the step of, Ke Yiwei：Obtain allocation data of the dispatching region in present period；From dispatching region
In allocation data in present period, at least one characteristic parameter is extracted.The allocation data refers to dispatching region current
In period it is all with dispatching about and the data that can be directly obtained, such as including dispatching person's state, the position of dispatching person, order
Original position, the destination locations of order, the dispatching state of order, weather conditions, current pressure grade etc..The current pressure
Grade refers to dispense dispatching pressure rating of the region in present period, can obtained by artificial calculating, or can also use this reality
Characteristic parameter prediction of the method for example offer within a upper period was applied to obtain.
Optionally, in one kind application example, above-mentioned at least one characteristic parameter includes fisrt feature parameter and the second spy
Levy parameter.The fisrt feature parameter refers to the spy that directly can be obtained from allocation data of the region in present period is dispensed
Levy parameter.For example, fisrt feature parameter includes following at least one：Weather conditions, current pressure grade etc..Second feature
Parameter refer to directly to obtain from allocation data of the dispatching region in present period, it is necessary to by analyzing or counting again
Calculate just getable parameter.For example, second feature parameter includes following at least one：Dispatching person's quantity, current pressure values,
Overstock order volume, order concentration degree, order growth rate, order digestion rate.
In above-mentioned application example, the step of obtaining at least one characteristic parameter, Ke Yiwei：From dispatching region when current
In allocation data in section, fisrt feature parameter is extracted；From the allocation data, second feature parameter is extracted corresponding initial
Data；Analysis of initial data, to obtain second feature parameter.
Optionally, in one kind application example, above-mentioned at least one characteristic parameter may only include fisrt feature parameter.Then
The step of obtaining at least one characteristic parameter, Ke Yiwei：From allocation data of the dispatching region in present period, first is extracted
Characteristic parameter.
Optionally, in one kind application example, above-mentioned at least one characteristic parameter may only include second feature parameter.Then
The step of obtaining at least one characteristic parameter, Ke Yiwei：From allocation data of the dispatching region in present period, second is extracted
The corresponding primary data of characteristic parameter；Analysis of initial data, to obtain second feature parameter.
To in above-mentioned each application example, analysis of initial data is illustrated with obtaining the step of second feature parameter：
Above-mentioned dispatching person's quantity can be counted and obtained according to the state and/or position of the dispatching person in allocation data；
Correspondingly, the state of the dispatching person and/or position are the corresponding primary data of dispatching person's quantity.
Above-mentioned current pressure values can be in allocation data the quantity of order, state and the quantity of dispatching person, state
Carry out analysis calculating and obtain；Correspondingly, the quantity of the order, state and the quantity of dispatching person, state are described work as
The corresponding primary data of preceding pressure value.
Above-mentioned overstocked order volume can be obtained by analyzing the dispatching state and quantity of the order in allocation data；Accordingly
Ground, the dispatching state and quantity of the order are the corresponding primary data of the overstocked order volume.
The above order concentration degree can be obtained by analyzing the original position of the order in allocation data；Correspondingly, it is described
The original position of order is the corresponding primary data of the order concentration degree.
The above order growth rate can increase the quantity of order newly by analyzing and obtain in certain time in allocation data；Phase
Ying Di, the quantity for increasing order in the certain time newly is the corresponding primary data of the order growth rate.
The above order digestion rate can complete the quantity on order of dispatching by analyzing and obtain in certain time in allocation data
Arrive；Correspondingly, the quantity on order for dispatching being completed in the certain time is the corresponding primary data of the order digestion rate.
It is preferred that, multiple characteristic parameters with pressurization pressure that region can be dispensed in present period using embodying, so as to
Dispatching pressure condition in more fully and effectively embodiment dispatching region, and then improve the accuracy predicted the outcome.
In above-described embodiment or following embodiments, the prediction step of dispatching force parameter of the dispatching region within the period in future
Suddenly, Ke Yiwei：According at least one characteristic parameter with pressurization pressure of the dispatching region in present period is embodied, operation is described will
Carry out period corresponding forecast model, to obtain dispatching force parameter of the dispatching region within the period in future.
Based on above-mentioned forecast model, in another embodiment of the application, dispatching region can be in advance based in historical period
Interior characteristic parameter obtains period in future corresponding forecast model, and condition is provided for prediction process, is conducive to improving forecasting efficiency.
As shown in Fig. 2 the dispatching pressure prediction method that another embodiment of the application is provided, including：
201st, characteristic parameter of the dispatching region in multiple historical periods is obtained；The multiple historical period and period in future
Belong to the same period.
202nd, model training is carried out according to the characteristic parameter in the multiple historical period, to obtain the period pair in future
The forecast model answered.
203rd, at least one characteristic parameter in dispatching region is obtained, at least one characteristic parameter embodies dispatching region and existed
Match somebody with somebody pressurization pressure in present period.
204th, according at least one characteristic parameter, the period in future corresponding forecast model is run, to obtain dispatching area
Dispatching force parameter of the domain within the period in future.
205th, the dispatching force parameter according to dispatching region within the period in future, it is determined that dispatching region matching somebody with somebody within the period in future
Pressurization pressure grade.
In the present embodiment, the different periods are divided time into.The division of period can be according to application demand
It is fixed.For example, can in units of day, divide time into the morning peak period, rush hour at noon section, the evening peak period and
Flat peak time section etc., can also divide time into first time period, second time period, the 3rd period, the 4th period etc..
Illustrate：Morning peak period or first time period can be 7. -8 thirty, and rush hour at noon section or second time period can be
11. -1 thirty, evening peak period or the 3rd period can be the points of 5 thirty-eight, remaining time belong to flat peak time section or
4th period.In addition, first time period, second time period and the 3rd can also be divided time into units of week
Period.Illustrate：First time period is Monday to Wednesday, and second time period is Thursday to Friday, and the 3rd period was week
Six and Sunday.
What deserves to be explained is, present period or period in future may belong to some period, or can be some time
Section.
In the present embodiment, can be according to characteristic parameter of the region in corresponding historical period of each period be dispensed, in advance
First generate corresponding forecast model of each period.For each period, the generating process of its correspondence forecast model is identical, this
Embodiment illustrates the generating process of forecast model by taking period in the future affiliated period as an example.Specifically, obtaining dispatching section many
Characteristic parameter in individual historical period, model training is carried out according to characteristic parameter of the dispatching section in multiple historical periods, with
Obtain period in future corresponding forecast model.Wherein, characteristic parameter of the dispatching region in multiple historical periods embodies dispatching area
Match somebody with somebody pressurization pressure in multiple historical periods in domain.Here multiple historical periods belong to the same period with the period in future, but not
It is required that historical period completes corresponding in time with the period in future.
For example, using the above-mentioned morning peak period, rush hour at noon section, evening peak period and flat peak time section as
Example, it is assumed that present period is 9 thirty to 10 thirty on November 20, the period in future is 11. -12 thirty on November 20, then will
The next period belongs to rush hour at noon section, then multiple historical periods can be between many in a few days 11. -1 thirty before November 20
A period of time, can for example include the historical period that represent of thirty 11 thirty -12 November 19, November 18 day 12. -1 tables
Historical period that the historical period and point in 17 days 11. -1 November shown is represented etc..
What deserves to be explained is, the obtaining step of the characteristic parameter in above-mentioned multiple historical periods, Ke Yiwei：From dispatching region
In allocation data in multiple historical periods in each historical period, dispatching region is obtained respectively every in multiple historical periods
Characteristic parameter in individual historical period.Characteristic parameter in each historical period is at least one.Optionally, each historical period
Interior characteristic parameter includes fisrt feature parameter and second feature parameter, then can be from dispatching region in each historical period
In allocation data, fisrt feature parameter of the dispatching region in each historical period is extracted respectively；Gone through from dispatching region each
In allocation data in the history period, the initial of second feature data correlation of the dispatching region in each historical period is extracted respectively
Data；The primary data of second feature data correlation of the analysis dispatching region in each historical period, to obtain dispatching region
Second feature parameter in each historical period.
During above-mentioned model training, can using the characteristic parameter in multiple historical periods as training sample, with
It is training objective to send dispatching force parameter of the region within multiple historical periods affiliated period, using machine learning algorithm, for example
Homing method, carries out model training, so as to obtain corresponding forecast model of multiple historical periods affiliated period.
In actual applications, the period belonging to the period in future can be directly determined, the time belonging to the period in future is obtained
The corresponding forecast model of section, is used as period in future corresponding forecast model；Dispatching of the dispatching region in present period will be embodied
At least one characteristic parameter of pressure enters ginseng as model, and operation period in future corresponding forecast model obtains dispatching region and existed
The dispatching force parameter of period in future.
Optionally, dispatching force parameter of the dispatching region that the present embodiment is predicted within the period in future includes following at least one
Kind：Order averagely dispenses duration, the average dispatching duration of most slow N% orders, dispenses punctual rate, order maximum dispatching duration, orders
Single minimum dispatching duration, empty race distance；Wherein, N>0.Wherein, it is that influence Consumer's Experience is most direct that order, which averagely dispenses duration,
Parameter, is also the most direct parameter of dispatching power situation in reaction dispatching region.The average dispatching duration of most slow N% orders is also shadow
The relatively straightforward parameter of Consumer's Experience is rung, the dispatching power situation in dispatching region can also be reacted.
Optionally, a forecast model can be trained for all dispatching force parameters, the forecast model can be simultaneously defeated
Go out all dispatching force parameters.For example, the average dispatching duration training of duration and most slow N% orders can averagely be dispensed for order
One forecast model, when running the forecast model and can export order and averagely dispense the average dispatching of duration and most slow N% orders
It is long.
Or, a forecast model can be respectively trained for each dispatching force parameter, different forecast model outputs are different
Dispense force parameter.For example, duration can averagely be dispensed for order respectively and the average dispatching duration of most slow N% orders is instructed respectively
Practice a forecast model, operation order, which averagely dispenses the corresponding forecast model of duration and can export order, averagely dispenses duration, transports
The corresponding forecast model of average dispatching duration of the most slow N% orders of row can export the average dispatching duration of most slow N% orders.
The description as described in other steps in the present embodiment, reference can be made to previous embodiment, will not be repeated here.
In the present embodiment, it is in advance based on dispensing characteristic parameter progress model training of the region in historical period, to obtain
Forecast model is obtained, during actual prediction, forecast model is directly run, is conducive to the standard for improving forecasting efficiency and predicting the outcome
True property.
In above-described embodiment or following embodiments, it is determined that dispatching region the period in future dispatching pressure rating it
Afterwards, flexibly, counter-measure can be taken in time according to dispatching pressure rating of the region in the period in future is dispensed, solves dispatching
The dispatching stress problems that region will face.Based on this, a kind of pressure solution is provided in the another embodiment of the application.Should
Embodiment can be based on embodiment illustrated in fig. 1 and realize, as shown in figure 3, after step 103, in addition to：
104th, the decompression schedule that the dispatching pressure rating with dispatching region in the period in future is matched is determined.
105th, perform decompression schedule or export the execution prompt message of decompression schedule.
Optionally, the determination step of decompression schedule, Ke Yiwei：Under the corresponding dispatching environment of the dispatching power grade, mould
Intend performing at least one candidate's decompression schedule；From at least one candidate's decompression schedule, selection analog result meets preset requirement
Candidate's decompression schedule, be used as and the decompression schedule that matches of dispatching pressure rating.At least one candidate's decompression schedule
Including：The decompression schedule of different gears.For example, dispatching duration of the candidate's decompression schedule of the first gear for increase by 5 minutes, second
Candidate's decompression schedule of gear is the dispatching duration of increase by 10 minutes, and candidate's decompression schedule of third gear is increase by 15 minutes
Duration is dispensed, candidate's decompression schedule of fourth speed position is activity of closing businessman etc..
Above-mentioned preset requirement can reduce dispatching region for selection and subtract in the candidate of the dispatching pressure rating of period in future
Pressure scheme, can regard application demand adaptability and set.
Optionally, simulation tune can be carried out to candidate's decompression schedule with reference to History Order situation according to dispatching pressure rating
Degree, finally obtains the mapping relations between dispatching pressure rating and decompression schedule.Based on this, the determination step of decompression schedule can
Think：Dispatching pressure rating according to dispatching region in the period in future, is inquired about between the dispatching pressure rating and decompression schedule
Mapping relations, it is determined that the decompression schedule matched.
Obtain decompression schedule after, can directly perform the decompression schedule, with reduce dispatching region match somebody with somebody pressurization pressure,
Or, the execution prompt message of decompression schedule can be exported, starts the decompression schedule to provide operation personnel, to reduce dispatching
Region match somebody with somebody pressurization pressure.
It should be noted that the executive agent that above-described embodiment provides each step of method may each be same equipment,
Or, this method is also used as executive agent by distinct device.Such as, the executive agent of step 201 to step 203 can be equipment
A；Again such as, step 201 and 202 executive agent can be device A, and the executive agent of step 203 can be equipment B；Etc..
The structural representation for the dispatching pressure prediction device that Fig. 4 provides for the another embodiment of the application.As shown in figure 4, dress
Put including：First acquisition unit 41, predicting unit 42 and determining unit 43.
First acquisition unit 41, at least one characteristic parameter for obtaining dispatching region, at least one characteristic parameter body
Now pressurization pressure is matched somebody with somebody in dispatching region in present period；
Predicting unit 42, for according at least one characteristic parameter, dispatching power of the prediction dispatching region within the period in future
Parameter.
Determining unit 43, for according to dispatching force parameter, it is determined that dispatching pressure rating of the dispatching region within the period in future.
In an optional embodiment, such as Fig. 5, one kind of first acquisition unit 41 realizes that structure includes：Obtain subelement
411 and extract subelement 412.
Subelement 411 is obtained, for obtaining allocation data of the dispatching region in present period.
Subelement 412 is extracted, for from allocation data, extracting at least one characteristic parameter.
In an optional embodiment, above-mentioned at least one characteristic parameter includes fisrt feature parameter and second feature is joined
Number.Correspondingly, extract subelement 412 specifically for：From allocation data, fisrt feature parameter is extracted；From allocation data, carry
Take the corresponding primary data of second feature parameter；Analysis of initial data, to obtain second feature parameter.
In an optional embodiment, fisrt feature parameter includes following at least one：Weather conditions, current pressure etc.
Level.
In an optional embodiment, second feature parameter includes following at least one：Dispatching person's quantity, current pressure
Value, overstocked order volume, order concentration degree, order growth rate, order digestion rate.
In an optional embodiment, predicting unit 42 specifically for：According at least one characteristic parameter, future tense is run
The corresponding forecast model of section, to obtain dispatching force parameter.
In an optional embodiment, as shown in figure 5, device also includes：Second acquisition unit 44 and model training unit
45。
Second acquisition unit 44, for before the operation period in future of predicting unit 42 corresponding forecast model, acquisition to be matched somebody with somebody
Send characteristic parameter of the region in multiple historical periods；Multiple historical periods belong to the same period with the period in future.
Model training unit 45, it is pre- to obtain for carrying out model training according to the characteristic parameter in multiple historical periods
Survey model.
In an optional embodiment, above-mentioned dispatching force parameter includes following at least one：Order averagely dispenses duration, most
The average dispatching duration of slow N% orders, dispense punctual rate, order maximum dispatching duration, order minimum dispatching duration, it is empty run away from
From；Wherein, N>0.
In an optional embodiment, as shown in figure 5, device also includes：Reduced pressure treatment unit 46.
Determining unit 43 is additionally operable to：It is determined that the decompression schedule matched with dispatching pressure rating.Correspondingly, reduced pressure treatment unit
46, for performing decompression schedule or exporting the execution prompt message of decompression schedule.
Optionally, determining unit 43 is it is determined that during decompression schedule, specifically for：In the corresponding dispatching environment of dispatching power grade
Under, simulation performs at least one candidate's decompression schedule；From at least one candidate's decompression schedule, selection analog result meets default
It is required that candidate's decompression schedule, be used as decompression schedule.
The dispatching pressure prediction device that the present embodiment is provided, available for the flow for performing above method embodiment, is retouched in detail
State and repeat no more.
The dispatching pressure prediction device that the present embodiment is provided, matches somebody with somebody pressurization pressure according to embodiment dispatching region in present period
Characteristic parameter, dispatching force parameter of the prediction dispatching region within the period in future；Based on dispatching region matching somebody with somebody within the period in future
Force parameter is sent, it is determined that dispatching pressure rating of the dispatching region within the period in future, eliminates the reliance on artificial experience, efficiency is higher, and
And be before the generation of quick-fried one-state, to realize the look-ahead with pressurization pressure, be easy to take countermeasure in time, be conducive in time
Mitigate the scheduling pressure that the pressure and logistic dispatching system in dispatching region face.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or computer program
Product.Therefore, the present invention can be using the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.Moreover, the present invention can be used in one or more computers for wherein including computer usable program code
The computer program production that usable storage medium is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product
Figure and/or block diagram are described.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which is produced, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
In a typical configuration, computing device includes one or more processors (CPU), input/output interface, net
Network interface and internal memory.
Internal memory potentially includes the volatile memory in computer-readable medium, random access memory (RAM) and/or
The forms such as Nonvolatile memory, such as read-only storage (ROM) or flash memory (flash RAM).Internal memory is computer-readable medium
Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer-readable instruction, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase transition internal memory (PRAM), static RAM (SRAM), moved
State random access memory (DRAM), other kinds of random access memory (RAM), read-only storage (ROM), electric erasable
Programmable read only memory (EEPROM), fast flash memory bank or other memory techniques, read-only optical disc read-only storage (CD-ROM),
Digital versatile disc (DVD) or other optical storages, magnetic cassette tape, the storage of tape magnetic rigid disk or other magnetic storage apparatus
Or any other non-transmission medium, the information that can be accessed by a computing device available for storage.Define, calculate according to herein
Machine computer-readable recording medium does not include temporary computer readable media (transitory media), such as data-signal and carrier wave of modulation.
It should also be noted that, term " comprising ", "comprising" or its any other variant are intended to nonexcludability
Comprising so that process, method, commodity or equipment including a series of key elements are not only including those key elements, but also wrap
Include other key elements being not expressly set out, or also include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that wanted including described
Also there is other identical element in process, method, commodity or the equipment of element.
It will be understood by those skilled in the art that embodiments herein can be provided as method, system or computer program product.
Therefore, the application can be using the embodiment in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Form.Deposited moreover, the application can use to can use in one or more computers for wherein including computer usable program code
The shape for the computer program product that storage media is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
Embodiments herein is the foregoing is only, the application is not limited to.For those skilled in the art
For, the application can have various modifications and variations.It is all any modifications made within spirit herein and principle, equivalent
Replace, improve etc., it should be included within the scope of claims hereof.
Claims (16)
1. one kind dispatching pressure prediction method, it is characterised in that including：
At least one characteristic parameter in dispatching region is obtained, at least one characteristic parameter embodies the dispatching region current
Match somebody with somebody pressurization pressure in period；
According at least one characteristic parameter, dispatching force parameter of the dispatching region within the period in future is predicted；
According to the dispatching force parameter, dispatching pressure rating of the dispatching region within the period in future is determined.
2. according to the method described in claim 1, it is characterised in that the obtaining step of at least one characteristic parameter, including：
Obtain allocation data of the dispatching region in present period；
From the allocation data, at least one characteristic parameter is extracted.
3. method according to claim 2, it is characterised in that at least one characteristic parameter includes fisrt feature parameter
With second feature parameter；
The extraction step of at least one characteristic parameter, including：
From the allocation data, the fisrt feature parameter is extracted；
From the allocation data, the corresponding primary data of the second feature parameter is extracted；
The primary data is analyzed, to obtain the second feature parameter.
4. method according to claim 3, it is characterised in that the fisrt feature parameter includes following at least one：My god
Vaporous condition, current pressure grade；
The second feature parameter includes following at least one：Dispatching person's quantity, current pressure values, overstocked order volume, order collection
Moderate, order growth rate, order digestion rate.
5. according to the method described in claim 1, it is characterised in that the prediction steps of the dispatching force parameter, including：
According at least one characteristic parameter, the period in future corresponding forecast model is run, to obtain the dispatching power
Parameter.
6. method according to claim 5, it is characterised in that run the period in future corresponding forecast model it
Before, in addition to：
Obtain characteristic parameter of the dispatching region in multiple historical periods；The multiple historical period and the period in future
Belong to the same period；
Model training is carried out according to the characteristic parameter in the multiple historical period, to obtain the forecast model.
7. the method according to claim 5 or 6, it is characterised in that the dispatching force parameter includes following at least one：
Order averagely dispenses duration, the average dispatching duration of most slow N% orders, dispenses punctual rate, order maximum dispatching duration, orders
Single minimum dispatching duration, empty race distance；Wherein, N>0.
8. the method according to claim any one of 1-6, it is characterised in that also include：
It is determined that the decompression schedule matched with the dispatching pressure rating；
Perform the execution prompt message of the decompression schedule or the output decompression schedule.
9. method according to claim 8, it is characterised in that the determination step of the decompression schedule, including：
Under the corresponding dispatching environment of the dispatching power grade, simulation performs at least one candidate's decompression schedule；
From at least one candidate's decompression schedule, selection analog result meets candidate's decompression schedule of preset requirement, as
The decompression schedule.
10. one kind dispatching pressure prediction device, it is characterised in that including：
First acquisition unit, at least one characteristic parameter for obtaining dispatching region, at least one characteristic parameter embodies
Match somebody with somebody pressurization pressure in present period in the dispatching region；
Predicting unit, for according at least one characteristic parameter, predicting dispatching of the dispatching region within the period in future
Force parameter；
Determining unit, for according to the dispatching force parameter, determining that pressurization pressure etc. is matched somebody with somebody in the dispatching region within the period in future
Level.
11. device according to claim 10, it is characterised in that the first acquisition unit includes：
Subelement is obtained, for obtaining allocation data of the dispatching region in present period；
Subelement is extracted, for from the allocation data, extracting at least one characteristic parameter.
12. device according to claim 11, it is characterised in that at least one characteristic parameter is joined including fisrt feature
Number and second feature parameter；
It is described extraction subelement specifically for：
From the allocation data, the fisrt feature parameter is extracted；
From the allocation data, the corresponding primary data of the second feature parameter is extracted；
The primary data is analyzed, to obtain the second feature parameter.
13. device according to claim 10, it is characterised in that the predicting unit specifically for：
According at least one characteristic parameter, the period in future corresponding forecast model is run, to obtain the dispatching power
Parameter.
14. device according to claim 13, it is characterised in that also include：
Second acquisition unit, for obtaining characteristic parameter of the dispatching region in multiple historical periods；The multiple history
Period belongs to the same period with the period in future；
Model training unit, it is described to obtain for carrying out model training according to the characteristic parameter in the multiple historical period
Forecast model.
15. the device according to claim any one of 10-14, it is characterised in that the determining unit is additionally operable to：It is determined that with
The decompression schedule of the dispatching pressure rating matching；
Described device also includes：
Reduced pressure treatment unit, the execution prompt message for performing the decompression schedule or the output decompression schedule.
16. device according to claim 15, it is characterised in that the determining unit specifically for：
Under the corresponding dispatching environment of the dispatching power grade, simulation performs at least one candidate's decompression schedule；
From at least one candidate's decompression schedule, selection analog result meets candidate's decompression schedule of preset requirement, as
The decompression schedule.
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