CN108256753A - A kind of emergency materials concocting method and device - Google Patents
A kind of emergency materials concocting method and device Download PDFInfo
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- 238000011478 gradient descent method Methods 0.000 claims description 6
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- 238000012549 training Methods 0.000 claims description 6
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Abstract
The invention discloses a kind of emergency materials concocting method and device, including obtaining the relation factor with goods and materials site；The characteristic attribute for being more than preset value with the relevance for obtaining and allocating result is screened to relation factor according to pre-defined rule；It is input in Logic Regression Models to obtain corresponding logical function using characteristic attribute as sampling feature vectors；Each coefficient in Logic Regression Models is obtained using maximum likelihood estimate；The current signature attribute of current goods and materials site is obtained, and brings into Logic Regression Models and obtains allotment result.This method predicts the availability of current goods and materials site by using Logic Regression Models, goods and materials site can be reasonably selected in the case of unsupervised, in addition, due to being screened to relation factor, so obtained characteristic attribute is also larger for the influence for allocating result, so that this method is more efficient and reasonable.
Description
Technical field
The present invention relates to Emergency Logistics technical field, more particularly to a kind of emergency materials concocting method and device.
Background technology
It is higher and higher currently for the requirement in terms of logistics timeliness, especially in terms of Emergency Logistics.If goods and materials tune
It is higher with efficiency, then it can directly influence the user experience of acquisition side.
In order to realize that high efficiency dispenses, many goods and materials sites are usually provided with, determine which is enabled according to dispatching destination
Goods and materials site.Since the goods and materials of each goods and materials site deposit are different, and dispatching destination demand is also different, therefore, is allocating
The allotment of Cheng Zhong, often blindness, the problem of not only causing distribution time process, and also often transportation cost is also very high, has
When the goods and materials site that enables it is also more.
Based on the above problem, how reasonably to realize that goods and materials are allocated so that it is art technology that the process of dispatching, which is optimal,
Personnel's urgent problem to be solved.
Invention content
The object of the present invention is to provide a kind of emergency materials concocting method and device, for reasonably realizing that goods and materials allotment makes
The process that must be dispensed is optimal.
In order to solve the above technical problems, the present invention provides a kind of emergency materials concocting method, including：
Obtain the relation factor with goods and materials site；
It is more than preset value the relation factor to be screened according to pre-defined rule with the relevance for obtaining and allocating result
Characteristic attribute；
It is input in Logic Regression Models to obtain corresponding logic letter using the characteristic attribute as sampling feature vectors
Number；
Each coefficient in the Logic Regression Models is obtained using maximum likelihood estimate；
The current signature attribute of current goods and materials site is obtained, and brings into the Logic Regression Models and obtains allotment result.
Preferably, the pre-defined rule is specially statistical analysis technique.
Preferably, the relation factor specifically includes：Within a preset range with the distance of other sites, goods and materials type, object
Provide storage level, Material Transportation vehicle fleet size, the traffic lights quantity in transportation route, the distance with dispatching destination.
Preferably, it before the characteristic attribute is input to Logic Regression Models as sampling feature vectors, further includes：
Data prediction is carried out to the characteristic attribute；
The data prediction include the processing of benefit value, nonumeric type characterization factor processing, normalized, at discretization
Reason.
Preferably, it further includes：
The Logic Regression Models are optimized using stochastic gradient descent method.
Preferably, the storage format of the relation factor is specially Data Frame forms.
Preferably, when the allotment result is 1, the path planning of current goods and materials site and the dispatching destination is transferred
Information, and it is sent to preset terminal device；
Wherein, the allotment result represents unselected for 0, represents to choose for 1.
In order to solve the above technical problems, the present invention provides a kind of emergency materials deployment device, including：
Acquiring unit, for obtaining the relation factor with goods and materials site；
Screening unit, for being screened to obtain with allocating being associated with for result to the relation factor according to pre-defined rule
Property be more than preset value characteristic attribute；
Training unit, for the characteristic attribute to be input in Logic Regression Models to obtain as sampling feature vectors
Corresponding logical function；
Computing unit, for obtaining each coefficient in the Logic Regression Models using maximum likelihood estimate；
Result output unit is allocated, for obtaining the current signature attribute of current goods and materials site, and the logic is brought into and returns
Return in model and obtain allotment result.
Preferably, the pre-defined rule is specially statistical analysis technique.
Preferably, the relation factor specifically includes：Within a preset range with the distance of other sites, goods and materials type, object
Provide storage level, Material Transportation vehicle fleet size, the traffic lights quantity in transportation route, the distance with dispatching destination.
Emergency materials concocting method provided by the present invention, including obtaining the relation factor with goods and materials site；According to predetermined
Rule screens relation factor the characteristic attribute for being more than preset value with the relevance for obtaining and allocating result；By characteristic attribute
It is input in Logic Regression Models to obtain corresponding logical function as sampling feature vectors；It is obtained using maximum likelihood estimate
Each coefficient into Logic Regression Models；The current signature attribute of current goods and materials site is obtained, and is brought into Logic Regression Models
Obtain allotment result.This method predicts the availability of current goods and materials site by using Logic Regression Models, can be in no prison
Goods and materials site is reasonably selected in the case of superintending and directing, in addition, due to being screened to relation factor, so obtained characteristic attribute pair
It is also larger in the influence of allotment result, so that this method is more efficient and reasonable.
In addition, the present invention also provides a kind of emergency materials deployment device corresponding with the above method, effect is as described above.
Description of the drawings
In order to illustrate the embodiments of the present invention more clearly, attached drawing needed in the embodiment will be done simply below
It introduces, it should be apparent that, the accompanying drawings in the following description is only some embodiments of the present invention, for ordinary skill people
For member, without creative efforts, other attached drawings are can also be obtained according to these attached drawings.
Fig. 1 is a kind of flow chart of emergency materials concocting method provided in an embodiment of the present invention；
Fig. 2 is the flow chart of another emergency materials concocting method provided in an embodiment of the present invention；
Fig. 3 is a kind of structure chart of emergency materials deployment device provided in an embodiment of the present invention.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment rather than whole embodiments of the present invention.Based on this
Embodiment in invention, without making creative work, what is obtained is every other by those of ordinary skill in the art
Embodiment belongs to the scope of the present invention.
The core of the present invention is to provide a kind of emergency materials concocting method and device, for reasonably realizing that goods and materials allotment makes
The process that must be dispensed is optimal.
In order to which those skilled in the art is made to more fully understand the present invention program, with reference to the accompanying drawings and detailed description
The present invention is described in further detail.
Fig. 1 is a kind of flow chart of emergency materials concocting method provided in an embodiment of the present invention.As shown in Figure 1, this method
Including：
S10：Obtain the relation factor with goods and materials site.
S11：It is more than preset value relation factor to be screened according to pre-defined rule with the relevance for obtaining and allocating result
Characteristic attribute.
S12：It is input in Logic Regression Models to obtain corresponding logic letter using characteristic attribute as sampling feature vectors
Number.
S13：Each coefficient in Logic Regression Models is obtained using maximum likelihood estimate.
S14：The current signature attribute of current goods and materials site is obtained, and brings into Logic Regression Models and obtains allotment result.
It is understood that the relation factor needs in step S10 are obtained from historical data, preferably embodiment party
Formula, relation factor specifically include：Within a preset range with the distance of other sites, goods and materials type, materials reserve, Material Transportation
Traffic lights quantity in vehicle fleet size, transportation route, the distance with dispatching destination.It in specific implementation, can be to each object
Data form is established in money site, includes relation factor in table.The storage format of relation factor is specially Data Frame lattice
Formula.It should be noted that the type of relation factor mentioned above is a part, can also be included according to actual conditions other
The factor of type, the present invention are not construed as limiting.
Pre-defined rule can be statistical analysis technique in step S11, except of course that statistical analysis technique is therein one
Kind, this method can determine which factor and allotment result relevance are big in relation factor, which factor is closed with allotment result
Connection property is small, then ignores the small factor of relevance and can obtain characteristic attribute.The characteristic attribute obtained after screening is exactly conduct
The sample of Logic Regression Models can be trained Logic Regression Models by these characteristic attributes.
Due to allotment result only there are two types of may, one kind is that the goods and materials site is selected, another goods and materials site not by
It chooses, therefore, it is two classification problems that it is corresponding, which to adjust result,.Two classification problems refer to the y values predicted, and only there are two values
(0 or 1), it is to be understood that there are many kinds of the corresponding solutions of two classification problems, and logistic regression mould is used in the present invention
Type is realized.A function normalizes y values used in Logic Regression Models, makes the value of y in section (0,1), this letter
Number is known as logical function (logistic function), also referred to as Sigmoid functions (sigmoid function).Specifically patrol
The prior art can be participated in by collecting the description of function, and the present invention repeats no more.After logical function is obtained, using maximum likelihood estimate
It calculates, each coefficient during the value maximum of likelihood function in corresponding Logic Regression Models is exactly the coefficient finally to be acquired, so far
Logic Regression Models are equivalent to train completion.
The obtained current signature attribute of current goods and materials site is input to Logic Regression Models, it is possible to obtain allotment knot
Fruit.It is assured that whether current goods and materials site can be selected by allocating result.
Emergency materials concocting method provided in this embodiment, including obtaining the relation factor with goods and materials site；According to predetermined
Rule screens relation factor the characteristic attribute for being more than preset value with the relevance for obtaining and allocating result；By characteristic attribute
It is input in Logic Regression Models to obtain corresponding logical function as sampling feature vectors；It is obtained using maximum likelihood estimate
Each coefficient into Logic Regression Models；The current signature attribute of current goods and materials site is obtained, and is brought into Logic Regression Models
Obtain allotment result.This method predicts the availability of current goods and materials site by using Logic Regression Models, can be in no prison
Goods and materials site is reasonably selected in the case of superintending and directing, in addition, due to being screened to relation factor, so obtained characteristic attribute pair
It is also larger in the influence of allotment result, so that this method is more efficient and reasonable.
Fig. 2 is the flow chart of another emergency materials concocting method provided in an embodiment of the present invention.As shown in Fig. 2, upper
On the basis of stating embodiment, preferably embodiment, is returned characteristic attribute is input to logic as sampling feature vectors
Return before model, further include：
S20：Data prediction is carried out to characteristic attribute.
Data prediction includes the processing of benefit value, nonumeric type characterization factor processing, normalized, sliding-model control.
In specific implementation, for historical data, presumable data and imperfect or some data are mistakes
, therefore, it is necessary to carry out data prediction to these characteristic attributes, it is ensured that obtained data can be used, as described above several
Kind data prediction mode may refer to the prior art, and the present embodiment repeats no more.
As shown in Fig. 2, on the basis of above-described embodiment, preferably embodiment, further includes：
S21：Logic Regression Models are optimized using stochastic gradient descent method.
Stochastic gradient descent is primary come iteration update by each sample, if situation that sample size is very big (such as it is several
10 ten thousand), then parameter θ just may be iterated to optimal solution, relatively only with the sample of wherein tens of thousands of or thousands of
In batch gradient descent method, iteration once needs to use ten tens of thousands of training samples, and an iteration can not possibly be optimal, if iteration 10
It just needs to traverse training sample 10 times if secondary.But the adjoint problem of stochastic gradient descent method is noise relatively batch ladder
It is more to spend descent method so that stochastic gradient descent method is not each iteration all towards total optimization direction.Minimize every
The loss function of sample, although not being loss function that each iteration obtains all towards global optimum direction, big entirety
Direction be to globally optimal solution, final result often near globally optimal solution.
On the basis of above-described embodiment, preferably embodiment, when it is 1 to allocate result, transfers current goods and materials
The route planning information of site and dispatching destination, and it is sent to preset terminal device；
Wherein, allotment result represents unselected for 0, represents to choose for 1.
It is understood that after allotment result is calculated, staff also needs to know current goods and materials site with matching
The transportation route of destination is sent, so as to successfully by Material Transportation to dispatching destination.Based on this, in the present embodiment, path is advised
It draws information and is sent to preset terminal device, such as terminal device can be mobile phone, route planning information can be map+language
Sound, then staff can be by Material Transportation to destination according to this information.In conclusion staff is without reselection
Path, so as to save the time of Material Transportation.
Above, the corresponding embodiment of emergency materials concocting method is described in detail, the present invention also provides one
Kind device corresponding with the above method.Since the embodiment of device part is corresponded with the embodiment of method part, dress
Put part embodiment refer to method part embodiment description, wouldn't repeat here.Fig. 3 is provided for the embodiment of the present invention
A kind of emergency materials deployment device structure chart.As shown in figure 3, the device includes：
Acquiring unit 10, for obtaining the relation factor with goods and materials site；
Screening unit 11, for being screened to obtain and allocate the relevance of result to relation factor according to pre-defined rule
More than the characteristic attribute of preset value；
Training unit 12, for being input in Logic Regression Models to obtain pair using characteristic attribute as sampling feature vectors
The logical function answered；
Computing unit 13, for obtaining each coefficient in Logic Regression Models using maximum likelihood estimate；
Result output unit 14 is allocated, for obtaining the current signature attribute of current goods and materials site, and brings logistic regression into
Allotment result is obtained in model.
Emergency materials deployment device provided in this embodiment including acquiring unit, is associated with for obtaining with goods and materials site
Factor；Screening unit is more than with the relevance for obtaining and allocating result for being screened according to pre-defined rule to relation factor
The characteristic attribute of preset value；Training unit, for being input to characteristic attribute as sampling feature vectors in Logic Regression Models
To obtain corresponding logical function；Computing unit, for obtaining each system in Logic Regression Models using maximum likelihood estimate
Number；Result output unit is allocated, for obtaining the current signature attribute of current goods and materials site, and brings into Logic Regression Models and obtains
To allotment result.This method predicts the availability of current goods and materials site by using Logic Regression Models, can be unsupervised
In the case of reasonably select goods and materials sites, in addition, due to being screened to relation factor, thus obtained characteristic attribute for
The influence for allocating result is also larger, so that this method is more efficient and reasonable.
Preferably embodiment, pre-defined rule are specially statistical analysis technique.
Preferably embodiment, relation factor specifically include：Within a preset range with the distance of other sites, goods and materials
Traffic lights quantity in type, materials reserve, Material Transportation vehicle fleet size, transportation route, the distance with dispatching destination.
Emergency materials concocting method provided by the present invention and device are described in detail above.It is each in specification
Embodiment is described by the way of progressive, and the highlights of each of the examples are difference from other examples, each
Just to refer each other for identical similar portion between embodiment.For device disclosed in embodiment, due to itself and embodiment public affairs
The method opened is corresponding, so description is fairly simple, reference may be made to the description of the method.It should be pointed out that for
For those skilled in the art, without departing from the principle of the present invention, if can also be carried out to the present invention
Dry improvement and modification, these improvement and modification are also fallen within the protection scope of the claims of the present invention.
It should also be noted that, in the present specification, relational terms such as first and second and the like be used merely to by
One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation
Between there are any actual relationship or orders.Moreover, term " comprising ", "comprising" or its any other variant meaning
Covering non-exclusive inclusion, so that process, method, article or equipment including a series of elements not only include that
A little elements, but also including other elements that are not explicitly listed or further include for this process, method, article or
The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...", is not arranged
Except also there are other identical elements in the process including element, method, article or equipment.
Claims (10)
1. a kind of emergency materials concocting method, which is characterized in that including：
Obtain the relation factor with goods and materials site；
The spy for being more than preset value with the relevance for obtaining and allocating result is screened to the relation factor according to pre-defined rule
Levy attribute；
It is input in Logic Regression Models to obtain corresponding logical function using the characteristic attribute as sampling feature vectors；
Each coefficient in the Logic Regression Models is obtained using maximum likelihood estimate；
The current signature attribute of current goods and materials site is obtained, and brings into the Logic Regression Models and obtains allotment result.
2. emergency materials concocting method according to claim 1, which is characterized in that the pre-defined rule is specially statistical
Analysis method.
3. emergency materials concocting method according to claim 1, which is characterized in that the relation factor specifically includes：
In preset range and in the distance of other sites, goods and materials type, materials reserve, Material Transportation vehicle fleet size, transportation route
Traffic lights quantity, the distance with dispatching destination.
4. emergency materials concocting method according to claim 1, which is characterized in that using the characteristic attribute as sample
Feature vector is input to before Logic Regression Models, is further included：
Data prediction is carried out to the characteristic attribute；
The data prediction includes the processing of benefit value, nonumeric type characterization factor processing, normalized, sliding-model control.
5. emergency materials concocting method according to claim 1, which is characterized in that further include：
The Logic Regression Models are optimized using stochastic gradient descent method.
6. emergency materials concocting method according to claim 1, which is characterized in that the storage format tool of the relation factor
Body is Data Frame forms.
7. according to the emergency materials concocting method described in claim 1-6 any one, which is characterized in that when the allotment result
When being 1, the route planning information of current goods and materials site and the dispatching destination is transferred, and is sent to preset terminal device；
Wherein, the allotment result represents unselected for 0, represents to choose for 1.
8. a kind of emergency materials deployment device, which is characterized in that including：
Acquiring unit, for obtaining the relation factor with goods and materials site；
Screening unit is surpassed for being screened according to pre-defined rule to the relation factor with the relevance for obtaining and allocating result
Cross the characteristic attribute of preset value；
Training unit, for the characteristic attribute to be input in Logic Regression Models to be corresponded to as sampling feature vectors
Logical function；
Computing unit, for obtaining each coefficient in the Logic Regression Models using maximum likelihood estimate；
Result output unit is allocated, for obtaining the current signature attribute of current goods and materials site, and brings the logistic regression mould into
Allotment result is obtained in type.
9. emergency materials deployment device according to claim 8, which is characterized in that the pre-defined rule is specially statistical
Analysis method.
10. emergency materials deployment device according to claim 8, which is characterized in that the relation factor specifically includes：
In preset range and in the distance of other sites, goods and materials type, materials reserve, Material Transportation vehicle fleet size, transportation route
Traffic lights quantity, the distance with dispatching destination.
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