CN110378546A - Method and apparatus for generating information - Google Patents
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Abstract
The embodiment of the present application discloses the method and apparatus for generating information.One specific embodiment of this method includes: the target sorting data acquisition system for obtaining target and sorting personnel；Target in data acquisition system is sorted for target and sorts data, determine that the target sorts the corresponding assessment models of data from assessment models set trained in advance, data assessment models corresponding with target sorting data are sorted based on the target, it obtains the target and sorts the corresponding target sorting duration of data, wherein, assessment models sort duration for assessing；It calculates the target that target sorts in data acquisition system and sorts the sum of corresponding target sorting duration of data, generate the sorting duration that target sorts personnel.The embodiment can be quickly generated the sorting duration of sorting personnel, in order to which the quantity in conjunction with the article sorted assesses the working efficiency of sorting personnel with duration is sorted, improve the reasonability of evaluated working efficiency.
Description
Technical field
The invention relates to field of computer technology, and in particular to the method and apparatus for generating information.
Background technique
With the popularity of the internet, more prominent the advantages of shopping at network, use a network for the userbase of shopping
Constantly rise.When user uses a network for shopping, the order of the information comprising bought article can be generated.Sorting personnel can be with
According to the corresponding article of order sort out, user is sent to by express delivery after being then packaged the article of institute's sort out.
The assessment mode of the working efficiency of existing sorting personnel is usually the number of the article sorted according to sorting personnel
It measures to assess the working efficiency of sorting personnel.However, type, the type of different orders for different warehouses, article
It is different to sort complexity, will lead to and sort duration difference.Therefore, sorting is assessed only according to the quantity of the article sorted
It is unreasonable to will lead to evaluated working efficiency for the working efficiency of personnel.
Summary of the invention
The embodiment of the present application proposes the method and apparatus for generating information.
In a first aspect, the embodiment of the present application provides a kind of method for generating information, comprising: obtain target and sort people
The target of member sorts data acquisition system；Target in data acquisition system is sorted for target and sorts data, from assessment mould trained in advance
It determines that the target sorts the corresponding assessment models of data in type set, data is sorted based on the target and the target sorts data
Corresponding assessment models obtain the target and sort the corresponding target sorting duration of data, wherein assessment models are sorted for assessing
Duration；It calculates the target that target sorts in data acquisition system and sorts the sum of corresponding target sorting duration of data, generate target and sort
The sorting duration of personnel.
In some embodiments, it includes that target sorts the type in warehouse where article and affiliated orders that target, which sorts data,
Single type；And determine that the target sorts the corresponding assessment models of data, packet from assessment models set trained in advance
It includes: the target is sorted to the type in the warehouse where the target sorting article in data and the type of affiliated order and assessment mould
The type in the corresponding warehouse of assessment models and the type of order in type set are matched, and the assessment mould of successful match is obtained
Type sorts the corresponding assessment models of data as the target.
In some embodiments, it further includes the value volume and range of product quantity that target sorts article that target, which sorts data,；And base
Data assessment models corresponding with target sorting data are sorted in the target, the corresponding target of target sorting data is obtained and picks
Select duration, comprising: the value volume and range of product quantity that the target is sorted to the target sorting article in data is input to the target and sorts
The corresponding assessment models of data obtain the target and sort the corresponding target sorting duration of data.
In some embodiments, training obtains assessment models set as follows: in assessment models set
Assessment models obtain the corresponding training sample set of the assessment models, based on the corresponding training sample set of the assessment models and
Nonlinear model, training obtain the assessment models.
In some embodiments, when training sample includes that sample sorts data and sample and sorts the corresponding sample of data and sort
Long, it includes the type in the warehouse where sample sorting article and the type of affiliated order that sample, which sorts data, and for commenting
Estimate the assessment models in model set, obtain the corresponding training sample set of the assessment models, comprising: obtains in historical time section
Sorting data acquisition system；Sample sorting data acquisition system is generated based on data acquisition system is sorted；Sample is sorted in data acquisition system
Sample sorts data, sorts the sorting time that the sample in data sorts article based on the sample, generates the sample and sort data
Corresponding sample sorts duration；It is sorted from sample and selects the type in warehouse corresponding with the assessment models in data acquisition system and order
The identical sample of single type sorts data；Sample based on selected taking-up sorts data and the sample of selected taking-up sorts data
Corresponding sample sorts duration, generates the corresponding training sample set of the assessment models.
In some embodiments, the sorting time that the sample in data sorts article is sorted based on the sample, generates the sample
The corresponding sample of this sorting data sorts duration, comprising: calculates last a kind of sample sorting article in sample sorting data
The difference for sorting time and the first sample and sorting the sorting time of article, sort the corresponding sample sorting of data as the sample
Duration.
In some embodiments, sample is generated based on sorting data acquisition system and sorts data acquisition system, comprising: to sorting data set
It closes and executes at least one of following filter operation: for sorting the sorting data for belonging to the same warehouse in data acquisition system, if should
The shortage of data that sorts in warehouse is more than the sorting data in continuous preset time period, filters out and lacks in the sorting data in the warehouse
Sorting data before sorting data；For sorting the sorting data for belonging to the same sorting personnel in data acquisition system, if
The sorting data of sorting personnel are no more than the default sorting data for sorting number of days, filter out the sorting number of sorting personnel
According to；For sorting the sorting data in data acquisition system, if the sorting data corresponding at least two sort personnel, the sorting is filtered out
Data；Sorting data acquisition system after execution filter operation is sorted into data acquisition system as sample.
In some embodiments, it further includes the value volume and range of product quantity that sample sorts article that sample, which sorts data,；And base
In the corresponding training sample set of the assessment models and nonlinear model, training obtains the assessment models, comprising: utilizes engineering
Sample in training sample in the corresponding training sample set of the assessment models is sorted the sample in data and sorted by learning method
The sample of input is sorted the corresponding sample of data and sorts duration as exporting as input by the value volume and range of product quantity of article,
Nonlinear model is trained, the assessment models are obtained.
Second aspect, the embodiment of the present application provide a kind of for generating the device of information, comprising: acquiring unit is matched
It is set to and obtains the target sorting data acquisition system that target sorts personnel；Assessment unit is configured to sort data acquisition system for target
In target sort data, determine that the target sorts the corresponding assessment mould of data from assessment models set trained in advance
Type sorts data assessment models corresponding with target sorting data based on the target, it is corresponding to obtain target sorting data
Target sorts duration, wherein assessment models sort duration for assessing；Generation unit is configured to calculate target and sorts data
Target in set sorts the corresponding target of data and sorts the sum of duration, generates the sorting duration that target sorts personnel.
In some embodiments, it includes that target sorts the type in warehouse where article and affiliated orders that target, which sorts data,
Single type；And assessment unit includes: coupling subelement, the target for being configured to sort the target in data sorts article
The type of the type in the warehouse at place and the type of affiliated order warehouse corresponding with the assessment models in assessment models set
It is matched with the type of order, obtains the assessment models of successful match, sort the corresponding assessment models of data as the target.
In some embodiments, it further includes the value volume and range of product quantity that target sorts article that target, which sorts data,；And it comments
Estimate unit further include: assessment subelement is configured to sort the target value volume and range of product that the target in data sorts article
Quantity is input to the target and sorts the corresponding assessment models of data, obtains the target and sorts the corresponding target sorting duration of data.
In some embodiments, training obtains assessment models set as follows: in assessment models set
Assessment models obtain the corresponding training sample set of the assessment models, based on the corresponding training sample set of the assessment models and
Nonlinear model, training obtain the assessment models.
In some embodiments, when training sample includes that sample sorts data and sample and sorts the corresponding sample of data and sort
Long, it includes the type in the warehouse where sample sorting article and the type of affiliated order that sample, which sorts data, and for commenting
Estimate the assessment models in model set, obtain the corresponding training sample set of the assessment models, comprising: obtains in historical time section
Sorting data acquisition system；Sample sorting data acquisition system is generated based on data acquisition system is sorted；Sample is sorted in data acquisition system
Sample sorts data, sorts the sorting time that the sample in data sorts article based on the sample, generates the sample and sort data
Corresponding sample sorts duration；It is sorted from sample and selects the type in warehouse corresponding with the assessment models in data acquisition system and order
The identical sample of single type sorts data；Sample based on selected taking-up sorts data and the sample of selected taking-up sorts data
Corresponding sample sorts duration, generates the corresponding training sample set of the assessment models.
In some embodiments, the sorting time that the sample in data sorts article is sorted based on the sample, generates the sample
The corresponding sample of this sorting data sorts duration, comprising: calculates last a kind of sample sorting article in sample sorting data
The difference for sorting time and the first sample and sorting the sorting time of article, sort the corresponding sample sorting of data as the sample
Duration.
In some embodiments, sample is generated based on sorting data acquisition system and sorts data acquisition system, comprising: to sorting data set
It closes and executes at least one of following filter operation: for sorting the sorting data for belonging to the same warehouse in data acquisition system, if should
The shortage of data that sorts in warehouse is more than the sorting data in continuous preset time period, filters out and lacks in the sorting data in the warehouse
Sorting data before sorting data；For sorting the sorting data for belonging to the same sorting personnel in data acquisition system, if
The sorting data of sorting personnel are no more than the default sorting data for sorting number of days, filter out the sorting number of sorting personnel
According to；For sorting the sorting data in data acquisition system, if the sorting data corresponding at least two sort personnel, the sorting is filtered out
Data；Sorting data acquisition system after execution filter operation is sorted into data acquisition system as sample.
In some embodiments, it further includes the value volume and range of product quantity that sample sorts article that sample, which sorts data,；And base
In the corresponding training sample set of the assessment models and nonlinear model, training obtains the assessment models, comprising: utilizes engineering
Sample in training sample in the corresponding training sample set of the assessment models is sorted the sample in data and sorted by learning method
The sample of input is sorted the corresponding sample of data and sorts duration as exporting as input by the value volume and range of product quantity of article,
Nonlinear model is trained, the assessment models are obtained.
The third aspect, the embodiment of the present application provide a kind of server, which includes: one or more processors；
Storage device is stored thereon with one or more programs；When one or more programs are executed by one or more processors, so that
One or more processors realize the method as described in implementation any in first aspect.
Fourth aspect, the embodiment of the present application provide a kind of computer-readable medium, are stored thereon with computer program, should
The method as described in implementation any in first aspect is realized when computer program is executed by processor.
Method and apparatus provided by the embodiments of the present application for generating information sort personnel for accessed target
Target sort data acquisition system in every target sort data, determined from assessment models set the target sort data pair
The assessment models answered；Then the target is sorted into the characteristic in data and is input to the corresponding assessment mould of target sorting data
Type sorts duration to obtain the target and sort the corresponding target of data；Finally calculate the target in target sorting data acquisition system
It sorts the corresponding target of data and sorts the sum of duration, to generate the sorting duration that target sorts personnel.So as to rapidly give birth to
At the sorting duration of the personnel of sorting, in order to which the quantity in conjunction with the article sorted assesses the work of sorting personnel with duration is sorted
Make efficiency, improves the reasonability of evaluated working efficiency.
Detailed description of the invention
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, the application's is other
Feature, objects and advantages will become more apparent upon:
Fig. 1 is that this application can be applied to exemplary system architectures therein；
Fig. 2 is the flow chart according to one embodiment of the method for generating information of the application；
Fig. 3 is provided by Fig. 2 for generating the schematic diagram of an application scenarios of the method for information；
Fig. 4 is the flow chart according to one embodiment of the assessment models set training method of the application；
Fig. 5 is the flow chart according to another embodiment of the assessment models set training method of the application；
Fig. 6 is the structural schematic diagram according to one embodiment of the device for generating information of the application；
Fig. 7 is adapted for the structural schematic diagram for the computer system for realizing the server of the embodiment of the present application.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to
Convenient for description, part relevant to related invention is illustrated only in attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 is shown can be using the method for generating information of the application or the implementation of the device for generating information
The exemplary system architecture 100 of example.
As shown in Figure 1, may include database server 101, network 102 and server 103 in system architecture 100.Net
Network 102 between database server 101 and server 103 to provide the medium of communication link.Network 102 may include each
Kind connection type, such as wired, wireless communication link or fiber optic cables etc..
Database server 101 can be interacted by network 102 with server 103, to receive or send message etc..Data
Library server 101 can be hardware, be also possible to software.When database server 101 is hardware, it can be and be stored with target
The target of sorting personnel sorts the electronic equipment of data acquisition system.When database server 101 is software, may be mounted at above-mentioned
In electronic equipment.Multiple softwares or software module may be implemented into it, and single software or software module also may be implemented into.Herein
It is not specifically limited.
Server 103 can provide various services, such as server 103 can sort personnel's to accessed target
Target sorts the data such as data acquisition system and carries out the processing such as analyzing, generate processing result (such as target sorting personnel sorting when
It is long).
It should be noted that server 103 can be hardware, it is also possible to software.It, can when server 103 is hardware
To be implemented as the distributed server cluster that multiple servers form, individual server also may be implemented into.When server 103 is
When software, multiple softwares or software module (such as providing Distributed Services) may be implemented into, also may be implemented into single
Software or software module.It is not specifically limited herein.
It should be noted that the method provided by the embodiment of the present application for generating information is generally held by server 103
Row, correspondingly, the device for generating information is generally positioned in server 103.
It should be understood that the number of database server, network and server in Fig. 1 is only schematical.According to reality
It now needs, can have any number of database server, network and server.Target is stored in server 103 to pick
In the case that the target for the person of choosing sorts data acquisition system, system architecture 100 can be not provided with database server 101.
With continued reference to Fig. 2, it illustrates the processes according to one embodiment of the method for generating information of the application
200.The method for being used to generate information, comprising the following steps:
Step 201, the target sorting data acquisition system that target sorts personnel is obtained.
It in the present embodiment, can be with for generating the executing subject (such as server 103 shown in FIG. 1) of the method for information
It is picked from local or other electronic equipments (such as database server 101 shown in FIG. 1) acquisition target for communicating with connection
The target for the person of choosing sorts data acquisition system.
In the present embodiment, when user utilizes Online Shopping article, the order for the article bought including user can be generated.
When sorting personnel sort the article in order, sorting data can be generated.In general, the personnel of sorting sort the step of article such as
Under:
Firstly, sorting staffing has PDA (Personal Digital Assistant, palm PC), as sorting people
When member needs to sort article, picking task odd numbers can be obtained by PDA.
In general, a picking task single pair answers an order.
Later, using the container number in PDA scanning order-picking trucks labeling, picking task odd numbers and container number are bound.
Then, PDA successively shows the bit information where the article in picking task list, to prompt sorting personnel successively to seek
Look for the storage space where article.
Finally, sort personnel searching to article where storage space after, by item picking into container, and scan the volume of article
Code, inputs the quantity of article, until the article in picking task list is finished by all sortings.
In the present embodiment, sort data can be the article in picking task list is sorted during it is generated
Data.Since a picking task single pair answers an order, the corresponding order of a sorting data.Sorting data can be with
The information in the warehouse including but not limited to where the type of order, the article in order, the information of article in order, in order
The sorting information of article etc..Wherein, order can be divided into different types.For example, can be according to purchase article
Order is divided into and objective single, interior with order and moves back supplier's order by the type of user.In another example can be according to the article in order
Quantity that visitor is singly further divided into the single and large visitor of general visitor is single.The quantity of article in large visitor's list is usually more.Its
In, the information in warehouse can include but is not limited to mark, the title in warehouse, the type in warehouse in region where warehouse, warehouse
Etc..Warehouse can be divided into different types according to the article of its storage.For example, the article that warehouse can be stored according to it
Category be divided into fresh class warehouse, foodstuff warehouse, books class warehouse, household appliances warehouse etc..In another example warehouse may be used also
To be further divided into the warehouse A and the warehouse B according to the weight and/or volume of the article of its storage, wherein the warehouse A is for storing
Deposit the warehouse of smallclothes type (i.e. volume or weight is smaller) article, the warehouse B is for storing smallclothes type and middle part type (i.e. volume or again
Measure larger) warehouse of article.Wherein, the information of article can include but is not limited to the title of article, the mark of article, article
Type, the weight of article, volume of article etc..The mark of article can be article SKU (Stock Keeping Unit,
Keeper unit) number, wherein No. SKU be article Unified number abbreviation, every kind of article is corresponding with unique No. SKU.Article
Sorting information can include but is not limited to the sorting time of article, sorting duration etc..
In the present embodiment, when needing to estimate the sorting of some sorting personnel whithin a period of time (such as in one month)
When long, personnel can be sorted using sorting personnel as target, and obtain target and sort the sorting number of personnel during this period of time
Data acquisition system is sorted according to target is generated.
Step 202, the target in data acquisition system is sorted for target and sorts data, from assessment models set trained in advance
In determine that the target sorts the corresponding assessment models of data.
In the present embodiment, every target in data acquisition system is sorted for target and sorts data, above-mentioned executing subject can
It is analyzed with sorting data to the target, it is corresponding to determine that the target sorts data from prediction model set trained in advance
Assessment models.
In the present embodiment, different types can be divided by sorting data.Different types of sorting data can be right
Answer different prediction models.For example, can be according to the warehouse where the sorting article (article i.e. in order) sorted in data
Type to sort data classified types.At this point, a kind of type in warehouse can correspond to a kind of type for sorting data.Example again
It such as, can be according to the type for sorting order belonging to article sorted in data to sorting data classified types.At this point, one kind is ordered
Single type can correspond to a kind of type for sorting data.It is sorted here it is possible to sort the target in data according to target first
The type in the warehouse where article and/or the type of affiliated order determine that target sorts the type of data, then according to target
The type for sorting data determines that target sorts the corresponding assessment models of data.
In the present embodiment, assessment models can be used for assessing sorting duration, and characterization sorts data and sorts between duration
Corresponding relationship.Above-mentioned executing subject can train assessment models in several ways.For example, above-mentioned executing subject can be right
It is a large amount of sort data and sort duration counted and generate that corresponding to be stored with a plurality of sorting data corresponding with sorting duration
Relation table, and using the mapping table as assessment models.In this way, above-mentioned executing subject can be right with this by target sorting data
The a plurality of sorting data in relation table are answered successively to be compared, if one in the mapping table sorts data and target sorts
Data are same or similar, then sort number for sorting duration corresponding to the sorting data in the mapping table as the target
Duration is sorted according to corresponding target.
In some optional implementations of the present embodiment, it may include that target sorts article place that target, which sorts data,
Warehouse type and affiliated order type.At this point, the target can be sorted the target in data by above-mentioned executing subject
Sort the type storehouse corresponding with the assessment models in assessment models set of the type and affiliated order in the warehouse where article
The type in library and the type of order are matched, and the assessment models of successful match are obtained, and it is corresponding to sort data as the target
Assessment models.Wherein, the type and a kind of type pair of order of one of assessment models set assessment models and a kind of warehouse
It answers.Since the single corresponding sorting data bulk of general visitor is sufficient, it will usually establish different assessments respectively to the warehouse A and the warehouse B
Model.For example, the general objective single pair in the warehouse A in fresh class warehouse answers a kind of assessment models.In the warehouse B in fresh class warehouse
General visitor's single pair answers another assessment models.Since large visitor is single, interior with order sorting data corresponding with supplier's order is moved back
Negligible amounts do not repartition the warehouse A and B Warehouse Establishing assessment models usually.For example, large objective single pair in books class warehouse is answered
A kind of assessment models.Match order for interior and move back for supplier's order, sorts the picking area sorted where article in data
Type it is different, corresponding assessment models are also different.In general, picking area can be divided into zero sorting zone and keeping area.For example, household electrical appliances
The interior of keeping area in class warehouse corresponds to a kind of assessment models with order, and the interior of zero sorting zone in household appliances warehouse is corresponded to order
Another assessment models.
Step 203, data assessment models corresponding with target sorting data are sorted based on the target, obtains the target and picks
The corresponding target of data is selected to sort duration.
In the present embodiment, which can be sorted the feature in data or target sorting data by above-mentioned executing subject
Data are input to the target and sort the corresponding assessment models of data, thus when obtaining the target and sorting the corresponding target of data and sort
It is long.For example, sorting the corresponding assessment models of data in the target is to be stored with that sort data type with the target identical multiple
In the case where the mapping table for sorting data and sorting duration, it is right with this which can be sorted data by above-mentioned executing subject
The a plurality of sorting data in relation table are answered successively to be compared, it will or phase identical as target sorting data in the mapping table
As sort sorting duration corresponding to data as the corresponding target of the target data and sort duration.
In some optional implementations of the present embodiment, sorting data in target further includes the number that target sorts article
Amount and number of species in the case where, above-mentioned executing subject can by the target sort data in target sort article quantity and
Number of species are input to the target and sort the corresponding assessment models of data, when obtaining the target and sorting the corresponding target of data and sort
It is long.For example, assessment models corresponding with target sorting data can be the sorting article being stored in a plurality of sorting data
Quantity, number of species and the mapping table for sorting duration.At this point, above-mentioned executing subject can sort the target in data
Target sorts the quantity of the sorting article in the value volume and range of product quantity of article and a plurality of sorting data in the mapping table
It is successively compared with number of species, the target sorted in the mapping table with the target in data is sorted to the quantity of article
Sorting duration corresponding to sorting data identical with number of species sorts duration as the corresponding target of the target data.
Step 204, it calculates the target that target sorts in data acquisition system and sorts the sum of corresponding target sorting duration of data, it is raw
The sorting duration of personnel is sorted at target.
In the present embodiment, every target that above-mentioned executing subject can calculate that target sorts in data acquisition system sorts data
Corresponding target sorts the sum of duration, and the sorting duration of personnel is sorted as target.In this manner it is possible in conjunction with the article sorted
Quantity and sort duration to assess the working efficiency of sorting personnel, improve the reasonability of evaluated working efficiency.It is logical
Often, for sorting the sorting personnel of same type of order in same type of warehouse, the quantity of the article sorted is got over
It is more, sort duration it is longer, working efficiency is higher, conversely, working efficiency is lower.
With continued reference to the signal that Fig. 3, Fig. 3 are according to an application scenarios of the method for generating information of the present embodiment
Figure.In the application scenarios of Fig. 3, when needing to assess the working efficiency of a sorting personnel, sorting people can be obtained first
Sorting data acquisition system 301 of the member in nearest one month.Later, for sorting every sorting data in data acquisition system 301
3011, the corresponding assessment models 3021 of every sorting data 3011 are determined from assessment models set 302 trained in advance.So
Afterwards, every sorting data 3011 are input to corresponding assessment models 3021, it is corresponding obtains every sorting data 3011
Sort duration 3031.The sum of duration 3031 is sorted finally, calculating every target and sorting the corresponding target of data 3011, is picked as this
The sorting duration 304 for the person of choosing.
Method provided by the embodiments of the present application for generating information sorts accessed target the target of personnel
The target sorted in data acquisition system sorts data, determines that the target sorts the corresponding assessment mould of data from assessment models set
Type；Then the target is sorted into the characteristic in data and is input to the corresponding assessment models of target sorting data, thus
The corresponding target of data, which is sorted, to the target sorts duration；It finally calculates the target that target sorts in data acquisition system and sorts data pair
The target answered sorts the sum of duration, to generate the sorting duration that target sorts personnel.So as to be quickly generated sorting personnel
Sorting duration, in order to the quantity in conjunction with the article sorted and sort duration and assess the working efficiency of sorting personnel, mention
The reasonability of the high working efficiency evaluated.
With further reference to Fig. 4, it illustrates according to one embodiment of the assessment models set training method of the application
Process 400.The assessment models set training method, comprising the following steps:
Step 401, for the assessment models in assessment models set, the corresponding training sample set of the assessment models is obtained
It closes.
In the present embodiment, for each assessment models in assessment models set, assessment models set training method
The corresponding training sample set of executing subject (such as server 103 shown in FIG. 1) available assessment models.Wherein, it instructs
Practicing each training sample in sample set may include that sample sorts data sample sorting corresponding with sample sorting data
Duration.Here it is possible to which calculating sample sorts sorting time and the first sample that the last a kind of sample in data sorts article
The difference for sorting the sorting time of article sorts the corresponding sample of data as the sample and sorts duration.Since sample sorts duration
Do not include the sorting duration that the first sample sorts article, therefore, sorts other attribute information (examples in data in statistical sample
As sample sorts the value volume and range of product quantity that the sample in data sorts article) when, the first sample can be sorted to article row
It removes, so that the model trained is more accurate.
Step 402, it is based on the corresponding training sample set of the assessment models and nonlinear model, training obtains the assessment mould
Type.
In the present embodiment, the training sample in training sample set corresponding for the assessment models, above-mentioned execution master
Body can be using the characteristic in the sorting data of the sample in the training sample or sample sorting data as input, will be corresponding
Sample sort duration as output, nonlinear model is trained, to obtain the assessment models.
In the present embodiment, nonlinear model can be the initial model of assessment models.Here, above-mentioned executing subject can be with
The characteristic for extracting in data and influencing sample and sorting duration is sorted from sample.For example, characteristic may include but unlimited
In: storage area number, tunnel number, storage space number, order numbers, the quantity of article, the number of species of article, the weight of article, article body
Product etc..Then, influence of these characteristics to duration is sorted is analyzed respectively.By analysis it is found that storage area number, tunnel number,
Storage space number and sorting duration are in obvious positive correlation.The quantity of article is positively correlated with sorting duration in strong in a certain range
Relationship.Similarly, order numbers, the volume of article, the weight of article can also be analyzed, is not listed one by one here.It is based on
Above-mentioned analysis result has used linear model, nonlinear model, tree regression model (such as random forest, GBDT) etc. to calculate respectively
R2, MAPE of model, final choice go out initial model of the nonlinear model as assessment models.
In the present embodiment, initial parameter has can be set in nonlinear model, and parameter in the training process can be continuous
Ground adjustment.Until training the assessment models that can assess sorting duration.
Assessment models set training method provided by the embodiments of the present application, for each assessment mould in assessment models set
Type obtains the corresponding training sample set of the assessment models, using the corresponding training sample set of the assessment models to non-linear
Model is trained, to obtain the assessment models.The assessment for sorting duration can be assessed to realize rapidly to train
Model set.
With further reference to Fig. 5, it illustrates another embodiments according to the assessment models set training method of the application
Process 500.The assessment models set training method, comprising the following steps:
Step 501, the sorting data acquisition system in historical time section is obtained.
In the present embodiment, the executing subject (such as server 103 shown in FIG. 1) of assessment models set training method can
To obtain in historical time section the sorting data acquisition system of (such as in nearest two months).Step 502, based on sorting data set symphysis
Data acquisition system is sorted at sample.
In the present embodiment, above-mentioned executing subject can generate sample sorting data acquisition system based on data acquisition system is sorted.Example
Such as, data acquisition system will be sorted and sorts data acquisition system directly as sample.In another example partially being picked from sorting to select in data acquisition system
It selects data to sort data as sample, generates sample and sort data acquisition system.
In some optional implementations of the present embodiment, above-mentioned executing subject can be executed to data acquisition system is sorted
Sorting data acquisition system after execution filter operation is sorted data acquisition system as sample by filter operation.
Wherein, filter operation may include at least one of following:
1, for sorting the sorting data for belonging to the same warehouse in data acquisition system, if the sorting shortage of data in the warehouse
More than the sorting data in continuous preset time period (such as in 1 day), the sorting lacked in the sorting data in the warehouse is filtered out
Sorting data before data.
Here, for belonging to the sorting data in the same warehouse, it is usually continuous to sort the date.When if there is certain section
Between sorting shortage of data, it may be possible to rectified and improved in warehouse.If warehouse rectification causes warehouse layout to change, sort
Duration may disobey same distribution.Therefore, if it exceeds sorting shortage of data in continuous preset time period, then just needing
Sorting data before the sorting data of missing are deleted.
2, for sorting the sorting data for belonging to the same sorting personnel in data acquisition system, if the sorting of sorting personnel
Data are no more than the default sorting data for sorting number of days, filter out the sorting data of sorting personnel.
Here, in certain period of time (such as one month), preset if the sorting data of a sorting personnel are no more than
It sorts number of days (such as 20 days), then sorting personnel may be the temporary staff in warehouse, it may be due to sorting unskilled shadow
Ring working efficiency.Therefore, it needs exist for deleting the sorting data of temporary staff.
3, for sorting the sorting data in data acquisition system, if the sorting data corresponding at least two sort personnel, filtering
Fall the sorting data.
In general, picking task list only one sorting personnel, a sorting personnel, which only sort one every time and sort, to be appointed
Business is single.Therefore, the corresponding at least two sorting data for sorting personnel are usually abnormal data, here will corresponding at least two sorting
The sorting data of personnel are deleted.
Step 503, the sample in data acquisition system is sorted for sample and sorts data, the sample in data is sorted based on the sample
The sorting time of this sorting article generates the sample and sorts the corresponding sample sorting duration of data.
In the present embodiment, every sample in data acquisition system is sorted for sample and sorts data, which sorts data
In can also include sample sort article the sorting time.In this way, above-mentioned executing subject can be sorted in data based on the sample
Sample sort sorting time of article, generate the sample and sort the corresponding sample of data and sort duration.
In some optional implementations of the present embodiment, above-mentioned executing subject can calculate sample and sort in data
A kind of last sample sorts the difference of the sorting time for sorting time and the first sample sorting article of article, picks as the sample
The corresponding sample of data is selected to sort duration.
Step 504, the type and order that warehouse corresponding with the assessment models is selected in data acquisition system are sorted from sample
The identical sample of type sort data.
In the present embodiment, since the type and one kind of an assessment models and a kind of warehouse in assessment models set are ordered
Single type is corresponding, and above-mentioned executing subject can sort in data acquisition system from sample and select warehouse corresponding with the assessment models
Type and the identical sample of type of order sort data.Wherein, sorting data may include the warehouse sorted where article
Type and affiliated order type.
Step 505, the sample based on selected taking-up sorts data and the sample of selected taking-up sorts the corresponding sample of data
Duration is sorted, the corresponding training sample set of the assessment models is generated.
In the present embodiment, every sample of selected taking-up can be sorted data or selected taking-up by above-mentioned executing subject
Every sample sorts the characteristic in data as input, which is sorted the corresponding sample of data and sorts duration as defeated
Out, training sample is generated.For example, the characteristic that sample sorts in data can be the value volume and range of product number that sample sorts article
Amount.
It step 506, will be in the training sample in the corresponding training sample set of the assessment models using machine learning method
Sample sort value volume and range of product quantity that the sample in data sorts article as input, the sample of input is sorted into data pair
The sample answered sorts duration as output, is trained to nonlinear model, obtains the assessment models.
In the present embodiment, above-mentioned executing subject can use various machine learning methods instruction corresponding with the assessment models
Practice sample set to be trained nonlinear model, to obtain the assessment models.Specifically, sorting data in sample further includes
In the case that sample sorts the value volume and range of product quantity of article, above-mentioned executing subject can be by the corresponding trained sample of the assessment models
The value volume and range of product quantity that sample in training sample in this set sorts the sample sorting article in data is used as input, will
The sample of input sorts the corresponding sample of data and sorts duration as output, is trained to nonlinear model, obtains the assessment
Model.
In some optional implementations of the present embodiment, the form of expression of assessment models be can be such that
Wherein, F is to sort duration, ω1、ω2、ω3、a1、a2It is the parameter of assessment models, x1It is the sorting sorted in data
The number of species of article, x2Sort the quantity of the sorting article in data.
From figure 5 it can be seen that the assessment models set generation side compared with the corresponding embodiment of Fig. 4, in the present embodiment
The process 500 of method highlights the step of obtaining training sample set.It is filtered out in the scheme of the present embodiment description as a result, unreasonable
Sorting data after generate training sample set.To keep trained assessment models more accurate.
With further reference to Fig. 6, as the realization to method shown in above-mentioned each figure, this application provides one kind for generating letter
One embodiment of the device of breath, the Installation practice is corresponding with embodiment of the method shown in Fig. 2, which can specifically answer
For in various electronic equipments.
As shown in fig. 6, the device 600 for generating information of the present embodiment may include: acquiring unit 601, assessment list
Member 602 and generation unit 603.Wherein, acquiring unit 601 are configured to obtain the target sorting data set that target sorts personnel
It closes；Assessment unit 602, the target for being configured to sort target in data acquisition system sorts data, from assessment trained in advance
It determines that the target sorts the corresponding assessment models of data in model set, data is sorted based on the target and the target sorts number
According to corresponding assessment models, obtains the target and sort the corresponding target sorting duration of data, wherein assessment models are picked for assessing
Select duration；Generation unit 603 is configured to calculate the target that target sorts in data acquisition system and sorts the corresponding target sorting of data
The sum of duration generates the sorting duration that target sorts personnel.
In the present embodiment, in the device 600 for generating information: acquiring unit 601, assessment unit 602 and generation are single
The specific processing of member 603 and its brought technical effect can be respectively with reference to step 201, the steps in Fig. 2 corresponding embodiment
The related description of 202-203 and step 204, details are not described herein.
In some optional implementations of the present embodiment, it may include that target sorts article place that target, which sorts data,
Warehouse type and affiliated order type；And assessment unit 602 may include: that coupling subelement (is not shown in figure
Out), it is configured to sort the target type in the warehouse where the target sorting article in data and the class of affiliated order
The type in type warehouse corresponding with the assessment models in assessment models set and the type of order are matched, and successful match is obtained
Assessment models, sort the corresponding assessment models of data as the target.
In some optional implementations of the present embodiment, it can also include that target sorts article that target, which sorts data,
Value volume and range of product quantity；And assessment unit 602 can also include: assessment subelement (not shown), being configured to should
The value volume and range of product quantity that target sorts the target sorting article in data is input to the target and sorts the corresponding assessment mould of data
Type obtains the target and sorts the corresponding target sorting duration of data.
In some optional implementations of the present embodiment, assessment models set can be trained as follows
It arrives: for the assessment models in assessment models set, obtaining the corresponding training sample set of the assessment models, be based on the assessment mould
The corresponding training sample set of type and nonlinear model, training obtain the assessment models.
In some optional implementations of the present embodiment, training sample may include that sample sorting data and sample pick
The corresponding sample of data is selected to sort duration, sample sorts the type and institute that data may include the warehouse where sample sorting article
The type of the order of category, and for the assessment models in assessment models set, obtain the corresponding training sample of the assessment models
Set, comprising: obtain the sorting data acquisition system in historical time section；Sample sorting data set is generated based on data acquisition system is sorted
It closes；Sample in data acquisition system is sorted for sample and sorts data, the sample in data is sorted based on the sample and sorts article
The time is sorted, the sample is generated and sorts the corresponding sample sorting duration of data；It is sorted from sample and selects and be somebody's turn to do in data acquisition system
The type in the corresponding warehouse of assessment models and the identical sample of the type of order sort data；Sample based on selected taking-up sorts
Data and the sample of selected taking-up sort the corresponding sample of data and sort duration, generate the corresponding training sample set of the assessment models
It closes.
In some optional implementations of the present embodiment, the sample in data is sorted based on the sample and sorts article
The time is sorted, the sample is generated and sorts the corresponding sample sorting duration of data, comprising: calculate last in sample sorting data
A kind of sample sorts the difference of the sorting time of article and the sorting time of the first sample sorting article, sorts number as the sample
Duration is sorted according to corresponding sample.
In some optional implementations of the present embodiment, sample sorting data set is generated based on data acquisition system is sorted
Close, comprising: execute at least one of following filter operation to data acquisition system is sorted: for sort in data acquisition system belong to it is same
The sorting data in warehouse filter out this if the shortage of data that sorts in the warehouse is more than the sorting data in continuous preset time period
Sorting data before the sorting data lacked in the sorting data in warehouse；Belong to same pick for sorting in data acquisition system
The sorting data for the person of choosing filter out if the sorting data of sorting personnel are no more than the default sorting data for sorting number of days
The sorting data of sorting personnel；For sorting the sorting data in data acquisition system, if the sorting data corresponding at least two pick
The person of choosing filters out the sorting data；Sorting data acquisition system after execution filter operation is sorted into data acquisition system as sample.
In some optional implementations of the present embodiment, it can also include that sample sorts article that sample, which sorts data,
Value volume and range of product quantity；And it is based on the corresponding training sample set of the assessment models and nonlinear model, training obtains this and comments
Estimate model, comprising: machine learning method is utilized, by the sample in the training sample in the corresponding training sample set of the assessment models
Sample in this sorting data sorts the value volume and range of product quantity of article as input, and it is corresponding that the sample of input is sorted data
Sample sorts duration as output, is trained to nonlinear model, obtains the assessment models.
Below with reference to Fig. 7, it illustrates the server for being suitable for being used to realize the embodiment of the present application (such as clothes shown in FIG. 1
Be engaged in device 103) computer system 700 structural schematic diagram.Server shown in Fig. 7 is only an example, should not be to this Shen
Please embodiment function and use scope bring any restrictions.
As shown in fig. 7, computer system 700 includes central processing unit (CPU) 701, it can be read-only according to being stored in
Program in memory (ROM) 702 or be loaded into the program in random access storage device (RAM) 703 from storage section 708 and
Execute various movements appropriate and processing.In RAM 703, also it is stored with system 700 and operates required various programs and data.
CPU 701, ROM 702 and RAM 703 are connected with each other by bus 704.Input/output (I/O) interface 705 is also connected to always
Line 704.
I/O interface 705 is connected to lower component: the importation 706 including keyboard, mouse etc.；It is penetrated including such as cathode
The output par, c 707 of spool (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.；Storage section 708 including hard disk etc.；
And the communications portion 709 of the network interface card including LAN card, modem etc..Communications portion 709 via such as because
The network of spy's net executes communication process.Driver 710 is also connected to I/O interface 705 as needed.Detachable media 711, such as
Disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 710, in order to read from thereon
Computer program be mounted into storage section 708 as needed.
Particularly, in accordance with an embodiment of the present disclosure, it may be implemented as computer above with reference to the process of flow chart description
Software program.For example, embodiment of the disclosure includes a kind of computer program product comprising be carried on computer-readable medium
On computer program, which includes the program code for method shown in execution flow chart.In such reality
It applies in example, which can be downloaded and installed from network by communications portion 709, and/or from detachable media
711 are mounted.When the computer program is executed by central processing unit (CPU) 701, limited in execution the present processes
Above-mentioned function.It should be noted that computer-readable medium described herein can be computer-readable signal media or
Computer-readable medium either the two any combination.Computer-readable medium for example can be --- but it is unlimited
In system, device or the device of --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, or any above combination.It calculates
The more specific example of machine readable medium can include but is not limited to: electrical connection, portable meter with one or more conducting wires
Calculation machine disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable programmable read only memory
(EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device or
The above-mentioned any appropriate combination of person.In this application, computer-readable medium, which can be, any includes or storage program has
Shape medium, the program can be commanded execution system, device or device use or in connection.And in the application
In, 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 not limited to electric
Magnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be computer-readable Jie
Any computer-readable medium other than matter, the computer-readable medium can be sent, propagated or transmitted for being held by instruction
Row system, device or device use or program in connection.The program code for including on computer-readable medium
It can transmit with any suitable medium, including but not limited to: wireless, electric wire, optical cable, RF etc. or above-mentioned any conjunction
Suitable combination.
The calculating of the operation for executing the application can be write with one or more programming languages or combinations thereof
Machine program code, described program design language include object-oriented programming language-such as Java, Smalltalk, C+
+, further include conventional procedural programming language-such as " C " language or similar programming language.Program code can
Fully to execute, partly execute on the user computer on the user computer, be executed as an independent software package,
Part executes on the remote computer or executes on a remote computer or server completely on the user computer for part.
In situations involving remote computers, remote computer can pass through the network of any kind --- including local area network (LAN)
Or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as utilize Internet service
Provider is connected by internet).
Flow chart and block diagram in attached drawing are illustrated according to the system of the various embodiments of the application, 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 the module, program segment or code include one or more use
The executable instruction of the logic function as defined in realizing.It should also be noted that in some implementations as replacements, being marked in box
The function of note can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are actually
It 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 to infuse
Meaning, the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart can be with holding
The dedicated hardware based system of functions or operations as defined in row is realized, or can use specialized hardware and computer instruction
Combination realize.
Being described in unit involved in the embodiment of the present application can be realized by way of software, can also be by hard
The mode of part is realized.Described unit also can be set in the processor, for example, can be described as: a kind of processor packet
Include acquiring unit, assessment unit and generation unit.Wherein, the title of these units is not constituted under certain conditions to the unit
The restriction of itself, for example, acquiring unit is also described as " obtaining the list that target sorts the target sorting data acquisition system of personnel
Member ".
As on the other hand, present invention also provides a kind of computer-readable medium, which be can be
Included in server described in above-described embodiment；It is also possible to individualism, and without in the supplying server.It is above-mentioned
Computer-readable medium carries one or more program, when said one or multiple programs are executed by the server,
So that the server: obtaining the target sorting data acquisition system that target sorts personnel；Target in data acquisition system is sorted for target
Data are sorted, determine that the target sorts the corresponding assessment models of data from assessment models set trained in advance, being based on should
Target sorts data and the target and sorts the corresponding assessment models of data, when obtaining the target and sorting the corresponding target sorting of data
It is long, wherein assessment models sort duration for assessing；It calculates the target that target sorts in data acquisition system and sorts the corresponding mesh of data
Mark sorts the sum of duration, generates the sorting duration that target sorts personnel.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art
Member is it should be appreciated that invention scope involved in the application, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from foregoing invention design, it is carried out by above-mentioned technical characteristic or its equivalent feature
Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed herein
Can technical characteristic replaced mutually and the technical solution that is formed.
Claims (18)
1. a kind of method for generating information, comprising:
Obtain the target sorting data acquisition system that target sorts personnel；
Target in data acquisition system is sorted for the target and sorts data, is determined from assessment models set trained in advance
The target sorts the corresponding assessment models of data, sorts data assessment mould corresponding with target sorting data based on the target
Type obtains the target and sorts the corresponding target sorting duration of data, wherein assessment models sort duration for assessing；
It calculates the target that the target sorts in data acquisition system and sorts the sum of corresponding target sorting duration of data, generate the mesh
Mark the sorting duration of sorting personnel.
2. according to the method described in claim 1, wherein, target sorts the class that data include the warehouse that target sorts where article
The type of type and affiliated order；And
It is described to determine that the target sorts the corresponding assessment models of data from assessment models set trained in advance, comprising:
By the target sort data in target sort article where warehouse type and affiliated order type with it is described
The type in the corresponding warehouse of assessment models and the type of order in assessment models set are matched, and commenting for successful match is obtained
Estimate model, sorts the corresponding assessment models of data as the target.
3. according to the method described in claim 2, wherein, it further includes the value volume and range of product that target sorts article that target, which sorts data,
Quantity；And
It is described that data assessment models corresponding with target sorting data are sorted based on the target, it obtains the target and sorts data pair
The target answered sorts duration, comprising:
The value volume and range of product quantity that the target is sorted to the target sorting article in data is input to target sorting data and corresponds to
Assessment models, obtain the target and sort the corresponding target of data sorting duration.
4. method described in one of -3 according to claim 1, wherein the assessment models set is trained as follows
It arrives:
For the assessment models in the assessment models set, the corresponding training sample set of the assessment models is obtained, being based on should
The corresponding training sample set of assessment models and nonlinear model, training obtain the assessment models.
5. according to the method described in claim 4, wherein, training sample includes that sample sorting data and sample sort data and correspond to
Sample sort duration, sample sort data include sample sort article where warehouse type and affiliated order class
Type, and
The assessment models in the assessment models set obtain the corresponding training sample set of the assessment models, packet
It includes:
Obtain the sorting data acquisition system in historical time section；
Sample, which is generated, based on the sorting data acquisition system sorts data acquisition system；
Sample in data acquisition system is sorted for the sample and sorts data, the sample in data is sorted based on the sample and sorts object
The sorting time of product generates the sample and sorts the corresponding sample sorting duration of data；
It is sorted in data acquisition system from the sample and selects the type in warehouse corresponding with the assessment models and the type phase of order
Same sample sorts data；
Sample based on selected taking-up sorts data and the sample of selected taking-up sorts the corresponding sample sorting duration of data, generates
The corresponding training sample set of the assessment models.
6. according to the method described in claim 5, wherein, the sample sorting article sorted in data based on the sample is picked
The time is selected, the sample is generated and sorts the corresponding sample sorting duration of data, comprising:
It calculates the sample and sorts that the last a kind of sample in data sorts the sorting time of article and the first sample sorts article
The sorting time difference, sort the corresponding sample of data as the sample and sort duration.
7. according to the method described in claim 5, wherein, the sorting data acquisition system generation sample that is based on sorts data set
It closes, comprising:
At least one of following filter operation is executed to the sorting data acquisition system:
For the sorting data for belonging to the same warehouse in the sorting data acquisition system, if the sorting shortage of data in the warehouse is super
The sorting data in continuous preset time period are crossed, the sorting before the sorting data lacked in the sorting data in the warehouse is filtered out
Data；
For the sorting data for belonging to the same sorting personnel in the sorting data acquisition system, if the sorting number of sorting personnel
According to the default sorting data for sorting number of days are no more than, the sorting data of sorting personnel are filtered out；
Sorting data in the sorting data acquisition system are filtered out if the sorting data corresponding at least two sort personnel
The sorting data；
Sorting data acquisition system after execution filter operation is sorted into data acquisition system as sample.
8. according to the method described in claim 5, wherein, it further includes the value volume and range of product that sample sorts article that sample, which sorts data,
Quantity；And
Described to be based on the corresponding training sample set of the assessment models and nonlinear model, training obtains the assessment models, comprising:
Using machine learning method, the sample in the training sample in the corresponding training sample set of the assessment models is sorted into number
Sample in sorts the value volume and range of product quantity of article as input, and the sample of input is sorted the corresponding sample of data and is sorted
Duration is trained nonlinear model, obtains the assessment models as output.
9. a kind of for generating the device of information, comprising:
Acquiring unit is configured to obtain the target sorting data acquisition system that target sorts personnel；
Assessment unit, the target for being configured to sort the target in data acquisition system sort data, from commenting for training in advance
Estimate and determine that the target sorts the corresponding assessment models of data in model set, data are sorted based on the target and the target sorts
The corresponding assessment models of data obtain the target and sort the corresponding target sorting duration of data, wherein assessment models are for assessing
Sort duration；
Generation unit, when being configured to calculate the target that the target sorts in data acquisition system and sorting the corresponding target of data and sort
It is the sum of long, generate the sorting duration that the target sorts personnel.
10. device according to claim 9, wherein it includes the warehouse where target sorting article that target, which sorts data,
The type of type and affiliated order；And
The assessment unit includes:
Coupling subelement is configured to sort the target target in data and sorts the type in warehouse where article and affiliated
Order type warehouse corresponding with the assessment models in the assessment models set type and order type carry out
Match, obtain the assessment models of successful match, sorts the corresponding assessment models of data as the target.
11. device according to claim 10, wherein it further includes the quantity and kind that target sorts article that target, which sorts data,
Class quantity；And
The assessment unit further include:
Subelement is assessed, the value volume and range of product quantity for being configured to sort the target target sorting article in data is input to
The target sorts the corresponding assessment models of data, obtains the target and sorts the corresponding target sorting duration of data.
12. the device according to one of claim 9-11, wherein the assessment models set is trained as follows
It arrives:
For the assessment models in the assessment models set, the corresponding training sample set of the assessment models is obtained, being based on should
The corresponding training sample set of assessment models and nonlinear model, training obtain the assessment models.
13. device according to claim 12, wherein training sample includes that sample sorts data and sample sorting data pair
The sample answered sorts duration, and it includes the type in the warehouse where sample sorting article and the class of affiliated order that sample, which sorts data,
Type, and
The assessment models in the assessment models set obtain the corresponding training sample set of the assessment models, packet
It includes:
Obtain the sorting data acquisition system in historical time section；
Sample, which is generated, based on the sorting data acquisition system sorts data acquisition system；
Sample in data acquisition system is sorted for the sample and sorts data, the sample in data is sorted based on the sample and sorts object
The sorting time of product generates the sample and sorts the corresponding sample sorting duration of data；
It is sorted in data acquisition system from the sample and selects the type in warehouse corresponding with the assessment models and the type phase of order
Same sample sorts data；
Sample based on selected taking-up sorts data and the sample of selected taking-up sorts the corresponding sample sorting duration of data, generates
The corresponding training sample set of the assessment models.
14. device according to claim 13, wherein the sample sorting article sorted based on the sample in data
The time is sorted, the sample is generated and sorts the corresponding sample sorting duration of data, comprising:
It calculates the sample and sorts that the last a kind of sample in data sorts the sorting time of article and the first sample sorts article
The sorting time difference, sort the corresponding sample of data as the sample and sort duration.
15. device according to claim 13, wherein described to generate sample sorting data based on the sorting data acquisition system
Set, comprising:
At least one of following filter operation is executed to the sorting data acquisition system:
For the sorting data for belonging to the same warehouse in the sorting data acquisition system, if the sorting shortage of data in the warehouse is super
The sorting data in continuous preset time period are crossed, the sorting before the sorting data lacked in the sorting data in the warehouse is filtered out
Data；
For the sorting data for belonging to the same sorting personnel in the sorting data acquisition system, if the sorting number of sorting personnel
According to the default sorting data for sorting number of days are no more than, the sorting data of sorting personnel are filtered out；
Sorting data in the sorting data acquisition system are filtered out if the sorting data corresponding at least two sort personnel
The sorting data；
Sorting data acquisition system after execution filter operation is sorted into data acquisition system as sample.
16. device according to claim 13, wherein it further includes the quantity and kind that sample sorts article that sample, which sorts data,
Class quantity；And
Described to be based on the corresponding training sample set of the assessment models and nonlinear model, training obtains the assessment models, comprising:
Using machine learning method, the sample in the training sample in the corresponding training sample set of the assessment models is sorted into number
Sample in sorts the value volume and range of product quantity of article as input, and the sample of input is sorted the corresponding sample of data and is sorted
Duration is trained nonlinear model, obtains the assessment models as output.
17. a kind of server, comprising:
One or more processors；
Storage device is stored thereon with 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, wherein the computer program is held by processor
Such as method described in any one of claims 1-8 is realized when row.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111144822A (en) * | 2019-12-30 | 2020-05-12 | 北京每日优鲜电子商务有限公司 | Warehouse-out time length determining method and device, computer equipment and storage medium |
| CN113435805A (en) * | 2020-03-23 | 2021-09-24 | 北京京东振世信息技术有限公司 | Article storage information determining method, device, equipment and storage medium |
| CN113537671A (en) * | 2020-04-17 | 2021-10-22 | 北京京东振世信息技术有限公司 | Sorting timeliness prediction method and device, storage medium and electronic equipment |
| CN115009744A (en) * | 2022-06-23 | 2022-09-06 | 上海壹佰米网络科技有限公司 | Method and device for estimating delivery time of front-end warehouse goods |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101719213A (en) * | 2009-12-08 | 2010-06-02 | 武汉理工大学 | Medicament picking operator RFID system |
| US20110087469A1 (en) * | 2009-10-14 | 2011-04-14 | International Business Machines Corporation | Real-time performance modeling of software systems with multi-class workload |
| CN105469201A (en) * | 2015-07-20 | 2016-04-06 | 浙江工业大学 | Method for logistics dispensing center work task processing and scheduling |
| CN107977820A (en) * | 2017-12-15 | 2018-05-01 | 吴小军 | Intelligent logistics express system |
| CN108229767A (en) * | 2016-12-09 | 2018-06-29 | 阿里巴巴集团控股有限公司 | A kind of picking method for allocating tasks, apparatus and system |
| CN108357886A (en) * | 2017-01-26 | 2018-08-03 | 菜鸟智能物流控股有限公司 | Item sorting method and related apparatus |
-
2018
- 2018-08-09 CN CN201810900317.9A patent/CN110378546B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110087469A1 (en) * | 2009-10-14 | 2011-04-14 | International Business Machines Corporation | Real-time performance modeling of software systems with multi-class workload |
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| CN108229767A (en) * | 2016-12-09 | 2018-06-29 | 阿里巴巴集团控股有限公司 | A kind of picking method for allocating tasks, apparatus and system |
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| CN107977820A (en) * | 2017-12-15 | 2018-05-01 | 吴小军 | Intelligent logistics express system |
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