CN109583806A - A kind of vehicle scheduling pickup method and system based on after single weight under adjustment - Google Patents
A kind of vehicle scheduling pickup method and system based on after single weight under adjustment Download PDFInfo
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Abstract
The invention discloses a kind of vehicle scheduling pickup method and system based on after single weight under adjustment, this method comprises: obtaining current order information；Matching in historic customer order data whether there is and the matched target customer of customer information；When it is present, the equal weight mark post value of acquisition target customer's single good and equal weight mark post value interval range from historic customer order data；Judge that single good counterpoise is whether in equal weight mark post value interval range in current order information；If it is not, single good counterpoise in current order information is adjusted to equal weight mark post value, and cargo total weight adjusted is calculated；Suitable vehicle, which is dispatched, according to cargo total weight goes to pickup.The present invention is estimated if inaccuracy again by analyzing the History Order data of client judge whether the cargo total weight that client currently places an order is accurate, is resulted in waste of resources the problem of taking long time with pickup operation to avoid the occurrence of because lower single weight is inaccurate.
Description
Technical field
The present invention relates to Logistic Scheduling technical field more particularly to a kind of dispatching methods and system in logistics vehicles section.
Background technique
In existing logistic industry, for more reasonable scheduling pickup personnel or vehicle pickup, when single under client, one
As can all require client to provide the cargo total weight that places an order, the cargo total weight scheduling pickup personnel that are then provided according to client or
Vehicle goes to pickup.But client place an order post part when, the cargo total weight provided is often inaccurate, and goods weight is not
May accurately will affect control centre to it is vehicle-mounted it is heavy, whether need the anticipations such as tailgate, estimated operation time-consuming to impact, example
Such as, vehicle goes to curstomer's site discovery goods and can not load and need to change trains, it is contemplated that operating time-consuming deviation causes to influence taking for following client greatly
Goods timeliness etc. will lead to the wasting of resources or influence timeliness.
Summary of the invention
The present invention provides the dispatching methods and system in a kind of logistics vehicles section, to solve in existing logistic industry, visitor
The cargo total weight provided when single under family often inaccuracy and cause to be unable to rational management pickup personnel and vehicle goes to pickup
Problem.
To solve the above-mentioned problems, the present invention provides a kind of vehicle scheduling pickups based on after single weight under adjustment
Method comprising:
Current order information is obtained, current order information includes customer information, quantity of goods and cargo total weight；
Matching historic customer order data whether there is and the matched target customer of customer information；
When there are target customer, the equal weight mark post of target customer's single good is obtained from historic customer order data
Value and equal weight mark post value interval range；
Judge that for single good counterpoise whether in equal weight mark post value interval range, single good is equal in current order information
Weight=cargo total weight/quantity of goods；
If so, not adjusted to cargo total weight in current order information；If it is not, then by single-piece in current order information
Cargo counterpoise is adjusted to equal weight mark post value, and cargo total weight adjusted is calculated；
Suitable vehicle, which is dispatched, according to cargo total weight goes to pickup.
As a further improvement of the present invention, the counterpoise of target customer's single good is obtained from historic customer order data
Measure mark post value and equal weight mark post value interval range, comprising:
From historic customer order data, the History Order goods weight data of target customer are obtained, goods weight is obtained
Data set；
The equal weight mark post value μ and standard deviation sigma of single good are calculated according to goods weight data set, whereinmiFor the practical counterpoise of single single good every in History Order
Amount, n are corresponding History Order number；
Equal weight mark post value interval range is set according to equal weight mark post value μ and standard deviation sigma.
As a further improvement of the present invention, the equal weight mark post value of single good is calculated according to goods weight data set
Before μ and standard deviation sigma, the practical weight of single good is first belonged to the History Order goods weight data of unusual fluctuations from goods
Object weight data concentration is rejected.
As a further improvement of the present invention, matching historic customer order data whether there is and the matched mesh of customer information
After the step of marking client, further includes:
When target customer is not present, is dispatched buses according to cargo total weight and go to pickup, and is new according to customer information
It builds customer profile and is stored.
As a further improvement of the present invention, method further include:
After the completion of pickup, the practical weight of single good of current order is obtained and as new historic customer order data
It is stored.
To solve the above-mentioned problems, the present invention also provides a kind of vehicle schedulings based on after single weight under adjustment to take
Part system comprising:
First obtains module, and for obtaining current order information, the current order information includes customer information, cargo number
Amount and cargo total weight；
Customer order memory module, for extracting customer information, quantity of goods and current cargo gross weight from order information
History of forming customer order data is measured, and is stored；Matching module, for match in the customer order memory module whether
In the presence of with the matched target customer of the customer information；
Second obtain module, for according to matching module feed back as a result, when there are target customer, ordered from the client
Obtained in single memory module target customer's single good equal weight mark post value and equal weight mark post value interval range；
Judgment module, for judging that whether single good counterpoise is in the equal weight mark post value in the current order information
In interval range；The single good counterpoise=cargo total weight/quantity of goods；
Weight adjusts module, for according to judgment module feed back as a result, if single good counterpoise in current order information
When not in the equal weight mark post value interval range, then single good counterpoise in the current order information is adjusted to described
Equal weight mark post value, and cargo total weight adjusted is calculated；
First scheduler module goes to pickup for dispatching suitable vehicle according to cargo total weight.
As a further improvement of the present invention, further include:
Third obtains module, for obtaining the History Order of the target customer from the customer order memory module
Goods weight data obtain goods weight data set；
Computing module, for calculated according to the goods weight data set single good equal weight mark post value μ and
Standard deviation sigma, whereinmiFor single single-piece every in History Order
Actually equal weight, n are corresponding History Order number to cargo；
Setting module, for setting the equal weight mark post value section according to the equal weight mark post value μ and standard deviation sigma
Range.
As a further improvement of the present invention, further include:
Module is rejected, after obtaining goods weight data set, the practical weight of the single good is belonged into extraordinary wave
Dynamic History Order goods weight data are rejected from the goods weight data set.
As a further improvement of the present invention, further include:
Second scheduler module, for according to matching module feed back as a result, when there is no target customer, it is total according to cargo
Weight, which is dispatched buses, goes to pickup；
The customer order memory module is being also used to be fed back according to the matching module as a result, when there is no target visitors
When family, customer profile is created according to the customer information and is stored.
As a further improvement of the present invention, further include:
Actual weight obtains module, for after the completion of pickup, obtaining the single good of current order actually equal weight；
The customer order memory module is also used to store the single good actually equal weight.
Compared with the prior art, when the present invention is single under client, cargo total weight is obtained from order information and obtains list
Part cargo counterpoise, by the equal weight mark post value interval range counted in single good counterpoise and historic customer order data into
Row compares, if the single good of current order focuses within counterpoise amount mark post value interval range, then it is assumed that the list this time provided
Part cargo counterpoise data are accurate, do not need to be adjusted, and can directly dispatch buses according to the weight data and go to pickup, if currently
The goods weight of order is not within equal weight mark post value interval range, then it is assumed that the cargo total weight inaccuracy this time provided,
Cargo total weight need to be adjusted according to the equal weight mark post value counted according to historic customer order data, and according to tune
Cargo total weight after whole, which is dispatched buses, goes to pickup, effectively avoids due to the cargo total weight that client provides is inaccurate
The problem of leading to the wasting of resources, reduces due to cargo total weight when lower list is not allowed and causes estimated operation is time-consuming to be not allowed, reduction
The risk of pickup time-out.
Detailed description of the invention
Fig. 1 is that the present invention is based on the processes of vehicle scheduling pickup method one embodiment after single weight under adjustment to show
It is intended to；
Fig. 2 is that the present invention is based on obtain equal weight mark post value in the vehicle scheduling pickup method after single weight under adjustment
With the flow diagram of equal weight mark post value interval range one embodiment；
Fig. 3 is that the present invention is based on obtain equal weight mark post value in the vehicle scheduling pickup method after single weight under adjustment
With the flow diagram of equal weight mark post value interval range another embodiment；
Fig. 4 is that the present invention is based on the processes of vehicle scheduling pickup method another embodiment after single weight under adjustment
Schematic diagram；
Fig. 5 is that the present invention is based on the processes of vehicle scheduling pickup method another embodiment after single weight under adjustment
Schematic diagram；
Fig. 6 is that the present invention is based on the function moulds of vehicle scheduling pickup system one embodiment after single weight under adjustment
Block schematic diagram；
Fig. 7 is that the present invention is based on the functions of vehicle scheduling pickup system another embodiment after single weight under adjustment
Module diagram；
Fig. 8 is that the present invention is based on the functions of vehicle scheduling pickup system another embodiment after single weight under adjustment
Module diagram；
Fig. 9 is that the present invention is based on the functions of vehicle scheduling pickup system another embodiment after single weight under adjustment
Module diagram；
Figure 10 is that the present invention is based on the function of vehicle scheduling pickup system another embodiment after single weight under adjustment
It can module diagram.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used to limit the present invention.
Fig. 1 illustrates that the present invention is based on one embodiment of the vehicle scheduling pickup method after single weight under adjustment.
In the present embodiment, as shown in Figure 1, should include following step based on the vehicle scheduling pickup method after single weight under adjustment
It is rapid:
Step S1 obtains current order information, and current order information includes customer information, quantity of goods and cargo gross weight
Amount.
Specifically, after receiving the order of client, customer information, quantity of goods and cargo are obtained according to the order information
Total weight, wherein customer information includes customer name, client's code name, customer address etc., the quantity of goods and cargo total weight
The information of business personnel is filled in or offered when being single under client.
Step S2, matching historic customer order data whether there is and the matched target customer of customer information.When there are mesh
When marking client, step S3 is executed.
Specifically, which includes that the information of all clients of business contact once occurred.It is obtaining
After current order information, customer information is got from current order information, and by customer information and historic customer order data
It is matched, whether there is and the matched target customer of customer information with confirming in historic customer order data.
Step S3 obtains the equal weight mark post value and equal weight of target customer's single good from historic customer order data
Mark post value interval range.
Specifically, by the History Order data of analysis client you can learn that the average weight of the cargo of customer historical order
Amount, i.e., equal weight mark post value, and then an equal weight mark post value interval range can be set according to equal weight mark post value.This implementation
Example by analysis target customer History Order data you can learn that the equal weight mark post value of the single good of target customer and
Weight mark post value interval range.
Step S4 judges that single good counterpoise is whether in equal weight mark post value interval range in current order information.If
It is to then follow the steps S5；If it is not, thening follow the steps S6.
It should be noted that single good counterpoise=cargo total weight/quantity of goods.
Specifically, single good focuses within the equal weight mark post value interval range in current order information, that is, determines
The cargo total weight that client this time provides is accurate, executes step S5；Single good focuses on the equal weight mark post value interval range
Within, i.e. the cargo total weight of judgement client this time offer is inaccurate, executes step S6.
Step S5 does not adjust cargo total weight in current order information.
Single good counterpoise in current order information is adjusted to equal weight mark post value, and adjustment is calculated by step S6
Cargo total weight afterwards.
It should be noted that cargo total weight adjusted=equal weight mark post value * quantity of goods
Step S7 dispatches suitable vehicle according to cargo total weight and goes to pickup.
Specifically, it if single good focuses in counterpoise amount mark post value interval range in current order information, currently orders
Cargo total weight does not adjust in single information, and dispatches suitable vehicle according to the cargo total weight and go to pickup；If currently ordering
Single good counterpoise is not in equal weight mark post value interval range in single information, then by single good counterpoise in current order information
It is adjusted to equal weight mark post value, and cargo total weight adjusted is calculated, and is dispatched according to cargo total weight adjusted
Suitable vehicle goes to pickup.
For example, table 1 illustrates the equal weight mark post value of company A and the equal weight mark post value interval range of setting.
The equal weight mark post value interval range information of the equal weight mark post value of 1 company A of table and setting
| Company | Equal weight mark post value | Equal weight mark post value interval range |
| Company A | 12.99889 | [11.42511,14.57267] |
If receiving the order of the said firm at this time, the quantity of goods of order is 10, and cargo total weight is 100, is calculated
Single good counterpoise；
Single good counterpoise=cargo total weight/quantity of goods=100/10=10；
Single good counterpoise is not fallen within equal weight mark post value interval range [11.42511,14.57267] at this time, because
This, the cargo total weight inaccuracy that the said firm provides is needed to be adjusted the cargo total weight of current order and be estimated, according to equal
Weight mark post value, which can be calculated, adjusted estimates cargo total weight；
It is adjusted to estimate cargo total weight=12.99889*10=129.9889；
Cargo total weight after estimating further according to the adjustment, which is dispatched buses, goes to the said firm to carry out pickup.
The following table 2, which gives a plurality of lower single weight in company A History Order and adjusts, estimates pair with actual weight data afterwards
Than.
2 company A order record of table
| Xia Dan company | Place an order coding | The lower list date | Lower list number of packages | Lower single weight | Actual weight | Estimate weight | Whether need to adjust |
| Company A | Coding 1 | 2018/4/10 | 6 | 30 | 105 | 76 | It is |
| Company A | Coding 2 | 2018/5/12 | 15 | 30 | 164 | 191 | It is |
| Company A | Coding 3 | 2018/5/14 | 25 | 30 | 410 | 318 | It is |
| Company A | Coding 4 | 2018/5/25 | 5 | 30 | 73 | 64 | It is |
| Company A | Coding 5 | 2018/5/25 | 2 | 20 | 23 | 25 | It is |
| Company A | Coding 6 | 2018/6/9 | 13 | 30 | 154 | 165 | It is |
| Company A | Coding 7 | 2018/6/22 | 39 | 200 | 367 | 496 | It is |
| Company A | Coding 8 | 2018/6/30 | 21 | 200 | 173 | 267 | It is |
| Company A | Coding 9 | 2018/7/12 | 16 | 200 | 235 | 200 | It is no |
When the present embodiment is single under client, cargo total weight is obtained from order information and obtains single good counterpoise, it will
The equal weight mark post value interval range counted in single good counterpoise and historic customer order data is compared, if currently
The single good of order focuses within counterpoise amount mark post value interval range, then it is assumed that the single good counterpoise data this time provided
Accurately, it does not need to be adjusted, can directly dispatch buses according to the weight data and go to pickup, if the goods weight of current order
Not within equal weight mark post value interval range, then it is assumed that the cargo total weight inaccuracy this time provided, it need to be according to according to history
The equal weight mark post value that customer order data counts, which is adjusted cargo total weight, to be estimated, and according to adjustment estimate after
Cargo total weight, which is dispatched buses, goes to pickup.As seen from Table 2, using the present embodiment, lower single weight row is adjusted, after estimating
Difference between lower list goods weight and actual weight is obviously reduced, and effectively avoids the cargo total weight provided by client
Inaccuracy and the problem of lead to the wasting of resources, reduce the cargo total weight when lower single it is inaccurate due to cause estimated operation time-consuming not
Standard reduces the risk of pickup time-out.
Further, as shown in Fig. 2, obtaining the equal weight mark of target customer's single good from historic customer order data
Bar value and equal weight mark post value interval range specifically includes the following steps:
Step S10 obtains the History Order goods weight data of target customer, obtains from historic customer order data
Goods weight data set.
Step S11 calculates the equal weight mark post value μ and standard deviation sigma of single good according to goods weight data set.
It should be noted thatmiIt is every in History Order
Actually equal weight, n are corresponding History Order number to single single good.
Step S12 sets equal weight mark post value interval range according to equal weight mark post value μ and standard deviation sigma.
Specifically, it is calculated after equal weight mark post value μ, standard deviation sigma is calculated according to the equal weight mark post value μ,
Equal weight mark post value interval range is confirmed further according to equal weight mark post value μ and standard deviation sigma.In the present embodiment, counterpoise is preferably set
Measuring mark post value interval range is [μ-σ, μ+σ].For example, the following table 3 illustrates the goods weight data of 9 lower unirecords of company A:
Goods weight data after the cleaning of table 3
| 11.88 | 13.5 | 13.43 | 11.5 | 16 | 12.75 | 11.5 | 11.72 | 14.71 |
The equal weight mark post value μ of equal weight mark post value can be calculated according to upper table 3, wherein
Standard deviation sigma=1.573781 are further calculated according to the formula of above-mentioned calculating standard deviation；
To be calculated the upper limit value μ+σ of the equal weight mark post value interval range of equal weight mark post value interval range=
- σ=11.42511 14.57267, lower limit value μ, i.e., the equal equal weight mark post value interval range of weight mark post value interval range are
[11.42511,14.57267].
It should be noted that the meter of the equal weight mark post value of target customer's single good and equal weight mark post value interval range
It calculates, according to the update of History Order data, real-time update is calculated；When new order comes, it can call directly the target customer's
The equal weight mark post value of the single good having calculated that and equal weight mark post value interval range.
Further, in order to reduce the exception history order goods weight data in goods weight data set to calculate counterpoise
The influence for measuring mark post value μ and standard deviation sigma, as shown in figure 3, before step S11, further includes:
The practical weight of single good is belonged to the History Order goods weight data of unusual fluctuations from cargo by step S20
Weight data concentration is rejected.
Specifically, in the goods weight data set of target customer, History Order goods weight data are simultaneously unstable at certain
A range fluctuation, in fact it could happen that the case where abnormal data value, for example, a certain History Order goods weight data are gone through much smaller than remaining
Therefore history order goods weight data are cleaned, to pick by multiple History Order goods weight data to target customer
Abnormal data value is removed, to reduce influence of the abnormal data value to equal weight mark post value μ and standard deviation sigma is calculated.
In the present embodiment, after getting multiple History Order goods weight data of target customer, firstly, confirmation is more
Lower quartile Q1 and upper quartile Q2 in a History Order goods weight data, and the very poor IQR of quartile is calculated,
IQR=Q2-Q1, it should be noted that quartile refer in statistics all numerical value it is ascending arrangement and be divided into four
Equal portions, the lower quartile being on 25% position, and the upper quartile being on 75% position；Secondly, confirming normal area
Between range, it is preferable that the normal interval range is set as [Q1-1.5*IQR, Q2+1.5*IQR]；Finally, rejecting goods weight number
According to the History Order goods weight data not fallen within the scope of normal interval are concentrated, to obtain the goods weight number that cleaning is completed
According to collection.For example, the following table 4 illustrates the actual weight data of single cargo under company A nearest 10 times:
The actual weight data of single cargo under 4 company A of table
| 11.88 | 13.5 | 13.43 | 11.5 | 16 | 12.75 | 11.5 | 11.72 | 14.71 | 21.82 |
By upper table 4 it is found that its lower quartile Q1, upper quartile Q2 and the very poor IQR of quartile are respectively as follows:
Q1=11.72, Q2=14.71, IQR=Q2-Q1=2.65；
The upper limit value and lower limit value of normal interval range are calculated according to Q1, Q2 and IQR:
Lower limit value=Q1-1.5*IQR=7.745, upper limit value=Q2+1.5*IQR=18.685, i.e. the normal interval range
For [7.745,18.685].Contrast table 4 is not it is found that 21.82 this data are fallen within the scope of the normal interval, therefore, rejects
The data, the goods weight data set after being cleaned.
It should be noted that simple statistics amount analytic approach, 3 σ criterion, clustering methodology etc. also can be used in the present embodiment
It identifies the History Order goods weight data for belonging to unusual fluctuations in goods weight data set, rejects goods weight number to reach
According to the purpose of the abnormal data of concentration, all belong to the scope of protection of the present invention within.
The present embodiment is cleaned by the goods weight data cargo total weight of multiple History Orders to target customer,
To weed out abnormal data value, so that the above-mentioned equal weight mark post value being calculated and equal weight mark post value interval range are more
Accurately.
In order to facilitate services client, on the basis of above-described embodiment, in other embodiments, as shown in figure 4, when mesh is not present
It is further comprising the steps of after step S2 when marking client:
Step S30 dispatches buses according to cargo total weight and goes to pickup, and creates customer profile simultaneously according to customer information
It is stored.
Specifically, when target customer matched with customer information is not present in historic customer order data, can confirm
The client is new client, and current order places an order for the first time for client, at this point, lack the History Order goods weight data of the client,
Dispatch buses according to the cargo total weight that client provides and go to pickup, also, newly-built customer profile, and by the customer profile into
Row storage, the subsequent lower forms data of the client can gradually form historic customer order data abundant, subsequent to pass through analysis
Goods weight data when counting the History Order goods weight data assessment of the client or adjusting single under client.
The present embodiment is by when confirming client is new client, establishing customer profile and storing to historic customer order data
In, thus abundant historic customer order data resource, facilitate its History Order data of subsequent statistical analysis with to goods weight into
Row assessment or adjustment.
In order to further enrich the historical data base of client, so that the result analyzed according to the historical data base of client
It is more accurate, on the basis of above-described embodiment, in other embodiments, as shown in figure 5, should be adjusted based on intelligence after the completion of pickup
Vehicle scheduling pickup method after whole lower single weight further include:
Step S40 after the completion of pickup, obtains the practical weight of single good of current order and as new historic customer
Order data is stored.
Specifically, it weighs in pickup personnel pickup and then the secondary cargo to the current order, and records cargo
The practical equal weight of single good, then the single good practical weight and target customer are associated and stored later.
Further, if the client of current order information is new client, after establishing the customer profile of the client,
It is stored after the practical weight of the single good is associated with the customer profile of the client.
The present embodiment is by really weighing to cargo after the completion of pickup, and by the practical counterpoise of the single good of cargo
Amount is stored, and the evaluation to this order weight adjustment Evaluated effect can be used to, and is conducive to assess subsequent adjustment
Optimization, when so that the subsequent historical data base using the client being assessed or adjusted to the goods weight that client places an order,
As a result more accurate.
Fig. 6 illustrates that the present invention is based on first of the vehicle scheduling pickup system after single weight under adjustment implementations
Example.As shown in fig. 6, should include the first acquisition module 10, visitor based on the vehicle scheduling pickup system after single weight under adjustment
Family order memory module 11, matching module 12, second obtain module 13, judgment module 14, weight adjustment module 15, first and dispatch
Module 16.
Wherein, first module 10 is obtained, for obtaining current order information, current order information includes customer information, goods
Object quantity and cargo total weight；Customer order memory module 11, for from order information extract customer information, quantity of goods and
Cargo total weight obtains historic customer order data, and is stored, wherein the customer order memory module 11 is stored with all
All historic customer order datas of client；Matching module 12, for match in customer order memory module 11 with the presence or absence of with
The matched target customer of customer information；Second obtains module 13, for according to matching module 12 feed back as a result, ought there are targets
When client, the equal weight mark post value and equal weight mark post value of target customer's single good are obtained from customer order memory module 11
Interval range；Judgment module 14, for judging that whether single good counterpoise is in equal weight mark post value section in current order information
In range；Single good counterpoise=cargo total weight/quantity of goods；Weight adjusts module 15, for anti-according to judgment module 14
Feedback as a result, if will currently be ordered when single good counterpoise is not in equal weight mark post value interval range in current order information
Single good counterpoise is adjusted to equal weight mark post value in single information, and cargo total weight adjusted is calculated；First scheduling
Module 16 goes to pickup for dispatching suitable vehicle according to cargo total weight.
Specifically, matching module 12 obtains the current order information that module 10 obtains according to first, stores with customer order
Customer order data in module 11 is matched, be confirmed whether exist with the matched target customer of customer information, work as presence
When matched target customer, the second acquisition module 13 knows the cargo of customer historical order from the History Order data of client
Average weight, i.e., equal weight mark post value, and weight mark post value interval range, then current order is judged by judgment module 14
Whether single good counterpoise is in equal weight mark post value interval range in information, to confirm the cargo total weight of client's this time offer
It is whether accurate, if accurately, the first scheduler module 16 dispatches buses according to the cargo total weight that client provides and goes to pickup, if not
Accurately, then weight adjusts module 15 and single good counterpoise in current order information is adjusted to equal weight mark post value, and calculates
To cargo total weight adjusted, and before the first scheduler module 16 dispatches suitable vehicle according to cargo total weight adjusted
Toward pickup, to effectively avoid the problem of leading to the wasting of resources because of the cargo total weight inaccuracy that client provides, reduce
Cargo total weight when lower single causes estimated operation time-consuming inaccurate due to inaccurate, reduces the risk of pickup time-out.
On the basis of above-described embodiment, in other embodiments, as shown in fig. 7, after should be based on single weight under adjustment
Vehicle scheduling pickup system further includes that third obtains module 20, computing module 21 and setting module 22.
Wherein, third obtains module 20, for obtaining the History Order of target customer from customer order memory module 11
Goods weight data obtain goods weight data set；Computing module 21, for calculating loose cargo according to goods weight data set
The equal weight mark post value μ and standard deviation sigma of object；Setting module 22, for being set according to equal weight mark post value μ and standard deviation sigma
Equal weight mark post value interval range.
Specifically, third obtains module 20 in the History Order for getting target customer from customer order memory module 11
After goods weight data, History Order goods weight data are calculated by computing module 21, obtain equal weight mark post
Value μ and standard deviation sigma, then equal weight mark post value section is set according to equal weight mark post value μ and standard deviation sigma by setting module 22
Range.
It should be noted thatmiIt is every in History Order
Actually equal weight, n are corresponding History Order number to single single good.
It should be noted that the meter of the equal weight mark post value of target customer's single good and equal weight mark post value interval range
It calculates, according to the update of History Order data, real-time update is calculated；When new order comes, it can call directly the target customer's
The equal weight mark post value of the single good having calculated that and equal weight mark post value interval range.
On the basis of above-described embodiment, in other embodiments, as shown in figure 8, after should be based on single weight under adjustment
Vehicle scheduling pickup system further includes rejecting module 30, after obtaining goods weight data set, by the practical counterpoise of single good
The History Order goods weight data that amount belongs to unusual fluctuations are rejected from goods weight data set.
Specifically, in the goods weight data set of target customer, History Order goods weight data are simultaneously unstable at certain
A range fluctuation, in fact it could happen that the case where abnormal data value, for example, a certain History Order goods weight data are gone through much smaller than remaining
History order goods weight data, therefore, by reject module 30 to multiple History Order goods weight data of target customer into
Row cleaning, to weed out abnormal data value, to reduce abnormal data value to the shadow for calculating equal weight mark post value μ and standard deviation sigma
It rings.
It should be noted that box traction substation analytic approach can be used, simple statistics amount analytic approach, 3 σ criterion, gather in the present embodiment
Alanysis method etc. belongs to the History Order goods weight data of unusual fluctuations to identify in goods weight data set, rejected with reaching
The purpose of abnormal data in goods weight data set, referring specifically to based on the vehicle scheduling pickup after single weight under adjustment
Described in embodiment of the method, details are not described herein again.
On the basis of above-described embodiment, in other embodiments, as shown in figure 9, after should be based on single weight under adjustment
Vehicle scheduling pickup system further includes the second scheduler module 30, and mesh is not present as a result, working as what is fed back according to matching module 12
When marking client, is dispatched buses according to cargo total weight and go to pickup, meanwhile, customer order memory module 11, according to matching module
12 is feeding back as a result, creating customer profile when target customer is not present according to customer information and being stored.
Specifically, when target customer matched with customer information is not present in historic customer order data, can confirm
The client is new client, and current order places an order for the first time for client, at this point, lack the History Order goods weight data of the client,
It dispatches buses according to the cargo total weight that client provides and goes to pickup.Meanwhile being in the client that confirmation currently places an order
When new client, customer order memory module 11 creates customer profile according to customer information and is stored, to facilitate record should
The subsequent order information to place an order of client.
On the basis of above-described embodiment, in other embodiments, as shown in Figure 10, after being somebody's turn to do based on single weight under adjustment
Vehicle scheduling pickup system further includes that actual weight obtains module 40, for obtaining the loose cargo of current order after the completion of pickup
The practical equal weight of object.Meanwhile customer order memory module 11 is corresponding with current order information by the practical weight of the single good
Customer information be associated after stored, if existing customer be new user, established in the customer profile of new user
At being associated and store later.
Specifically, after pickup personnel complete pickup task, weighing can be also re-started to cargo and obtains single good
Practical equal weight, actual weight obtain module 40 and store the practical weight of the single good to customer order memory module 11
In, the evaluation to this order weight adjustment Evaluated effect can be used to, and be conducive to make the optimization of subsequent adjustment assessment
The subsequent historical data base using the client when goods weight that client places an order is assessed or adjusted, as a result more subject to
Really.
It is real based on module each in the vehicle scheduling pickup system after single weight under adjustment about above-mentioned five embodiments
The other details of existing technical solution, reference can be made in above-described embodiment based on the vehicle scheduling pickup after single weight under adjustment
Description in method, details are not described herein again.
It should be noted that all the embodiments in this specification are described in a progressive manner, each embodiment weight
Point explanation is the difference from other embodiments, and the same or similar parts between the embodiments can be referred to each other.
For system class embodiment, since it is basically similar to the method embodiment, so being described relatively simple, related place ginseng
See the part explanation of embodiment of the method.
The specific embodiment of invention is described in detail above, but it is only used as example, the present invention is not intended to limit
In specific embodiments described above.For a person skilled in the art, any equivalent modifications that the invention is carried out
Or substitute also all among scope of the invention, therefore, the made equalization in the case where not departing from the spirit and principles in the present invention range
Transformation and modification, improvement etc., all should be contained within the scope of the invention.
Claims (10)
1. a kind of vehicle scheduling pickup method based on after single weight under adjustment, characterized in that it comprises:
Current order information is obtained, the current order information includes customer information, quantity of goods and cargo total weight；
Matching historic customer order data whether there is and the matched target customer of the customer information；
When there are target customer, the equal weight of target customer's single good is obtained from the historic customer order data
Mark post value and equal weight mark post value interval range；
Judge that single good counterpoise is whether in the equal weight mark post value interval range in the current order information, the list
Part cargo counterpoise=cargo total weight/quantity of goods；
If so, not adjusted to cargo total weight in the current order information；If it is not, then will be in the current order information
Single good counterpoise is adjusted to the equal weight mark post value, and cargo total weight adjusted is calculated；
Suitable vehicle, which is dispatched, according to cargo total weight goes to pickup.
2. the vehicle scheduling pickup method according to claim 1 based on after single weight under adjustment, which is characterized in that
The equal weight mark post value that target customer's single good is obtained from the historic customer order data and equal weight mark
Bar value interval range, comprising:
From the historic customer order data, the History Order goods weight data of the target customer are obtained, cargo is obtained
Weight data collection；
The equal weight mark post value μ and standard deviation sigma of single good are calculated according to the goods weight data set, whereinmiFor the practical counterpoise of single single good every in History Order
Amount, n are corresponding History Order number；
The equal weight mark post value interval range is set according to the equal weight mark post value μ and standard deviation sigma.
3. the vehicle scheduling pickup method according to claim 2 based on after single weight under adjustment, which is characterized in that
Before equal weight mark post value μ and the standard deviation sigma for calculating single good according to the goods weight data set, first by institute
It states the practical weight of single good and belongs to the History Order goods weight data of unusual fluctuations from the goods weight data set
It is rejected.
4. the vehicle scheduling pickup method according to claim 1 based on after single weight under adjustment, which is characterized in that
After the matching historic customer order data whether there is the step of target customer matched with the customer information, also wrap
It includes:
When target customer is not present, is dispatched buses according to cargo total weight and go to pickup, and is new according to the customer information
It builds customer profile and is stored.
5. the vehicle scheduling pickup method according to claim 1 or 4 based on after single weight under adjustment, feature exist
In, the method also includes:
After the completion of pickup, obtains the practical weight of single good of current order and carried out as new historic customer order data
Storage.
6. a kind of vehicle scheduling pickup system based on after single weight under adjustment, characterized in that it comprises:
First obtains module, for obtaining current order information, the current order information include customer information, quantity of goods and
Cargo total weight；
Customer order memory module is gone through for extracting customer information, quantity of goods and the formation of cargo total weight from order information
History customer order data, and stored；
Matching module, for matching in the customer order memory module with the presence or absence of objective with the matched target of the customer information
Family；
Second obtain module, for according to matching module feed back as a result, when there are target customer, deposited from the customer order
Store up the equal weight mark post value that target customer's single good is obtained in module and equal weight mark post value interval range；
Judgment module, for judging that whether single good counterpoise is in the equal weight mark post value section in the current order information
In range；The single good counterpoise=cargo total weight/quantity of goods；
Weight adjust module, for according to judgment module feed back as a result, if single good counterpoise does not exist in current order information
When in the equal weight mark post value interval range, then single good counterpoise in the current order information is adjusted to the counterpoise
Mark post value is measured, and cargo total weight adjusted is calculated；
First scheduler module goes to pickup for dispatching suitable vehicle according to cargo total weight.
7. the vehicle scheduling pickup system according to claim 6 based on after single weight under adjustment, which is characterized in that
Its further include:
Third obtains module, for obtaining the History Order cargo of the target customer from the customer order memory module
Weight data obtains goods weight data set；
Computing module, for calculating the equal weight mark post value μ and standard of single good according to the goods weight data set
Poor σ, whereinmiFor single single good every in History Order
Practical equal weight, n are corresponding History Order number；
Setting module, for setting the equal weight mark post value section model according to the equal weight mark post value μ and standard deviation sigma
It encloses.
8. the vehicle scheduling pickup system according to claim 7 based on after single weight under adjustment, which is characterized in that
Its further include:
Module is rejected, after obtaining goods weight data set, the practical weight of the single good is belonged into unusual fluctuations
History Order goods weight data are rejected from the goods weight data set.
9. the vehicle scheduling pickup system according to claim 6 based on after single weight under adjustment, which is characterized in that
Its further include:
Second scheduler module, for according to matching module feed back as a result, when there is no target customer, according to cargo total weight
It dispatches buses and goes to pickup；
The customer order memory module, it is being also used to be fed back according to the matching module as a result, when there is no target customer,
Customer profile is created according to the customer information and is stored.
10. the vehicle scheduling pickup system according to claim 6 or 9 based on after single weight under adjustment, feature
It is, further include:
Actual weight obtains module, for after the completion of pickup, obtaining the single good of current order actually equal weight；
The customer order memory module is also used to store the single good actually equal weight.
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