CN108681849A - A kind of method and device that cargo transport is fixed a price automatically - Google Patents
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Abstract
The present invention relates to Intelligent logistics technical field more particularly to a kind of method and devices that cargo transport is fixed a price automatically；Method includes the following steps：Periodically receive oil price, season, weather, vehicle information provision and road conditions conditional information；It is automatic to generate price masterplate by influence coefficient by conditional information and historical shipment data；Receive specification attribute, transport road length and the transportation route of cargo；According to the specification attribute of cargo, transport road length and transportation route, by fixing a price, masterplate calculates the transport price of the cargo transport, and exports automatically；By the pricing system, solve the problems, such as, according to having project source of goods freight rate formulation, to reduce arbitrary pricing error, realize the real-time control to transport price, on the other hand, reasonable, timely quotation can be also provided for potential customers, effectively evade operational risk while fully exploitation potential customers.
Description
Technical field
The present invention relates to Intelligent logistics technical field more particularly to a kind of method and devices that cargo transport is fixed a price automatically.
Background technology
Freight rates is collectively constituted by Multiple factors, some factors directly affect price, such as：Oil consumption, road length etc., meanwhile,
Some indirect factors can equally impact price, and only this influence can not be provided directly with number, such as：Vehicle is supplied
Situation, dull and rush season situation etc., and these factor durations change；It may also happen that influencing each other between each factor, such as：Gas
Time, road conditions may cause artificial and oil consumption increase；Cargo transport price is all to rely on manually to formulate at present, not only
Freight rate is and time-consuming and laborious there are large error, the problems such as cannot being managed collectively.
Invention content
The object of the present invention is to provide a kind of method and devices that cargo transport is fixed a price automatically, it is intended to solve it for transport
The solution of the real-time control of price, and fully automated execution, effectively improve working efficiency.
On the one hand, the present invention provides a kind of method that cargo transport is fixed a price automatically, the method includes following step：
Periodically receive oil price, season, weather, vehicle information provision and road conditions conditional information；
It is automatic to generate price masterplate by influence coefficient by the conditional information and historical shipment data；
Receive specification attribute, transport road length and the transportation route of cargo；
According to the specification attribute of the cargo, transport road length and transportation route, this is calculated by the price masterplate
The transport price of cargo transport, and export automatically.
Optionally, automatic to generate price masterplate, packet by influence coefficient by the conditional information and historical shipment data
It includes：
Gradually go deep into the price masterplate by the calculation of linear regression；By the calculation of random forest into one
Step improves the price masterplate；By LSTM in conjunction with the calculation of the linear regression or the random forest solve it is long when according to
Rely problem.
Optionally, according to the specification attribute of the cargo, transport road length and transportation route, the cargo transport is calculated
Transport price, and automatically after output, including：
Receive estimated revenue input by user；Receive the actual gain that the cargo transport obtains；According to the practical receipts
It is beneficial to be compared with the estimated revenue, and learnt.
Optionally, it is compared, and is learnt with the estimated revenue according to the actual gain, including：
When the difference of comparison result is that the transportation data is stored in historical shipment data in fluctuation range；Work as comparison result
Difference exceed fluctuation range, which is analyzed, and change it is described price masterplate influence coefficient or by reality
Situation increases the conditional information.
On the other hand, the present invention provides a kind of device that cargo transport is fixed a price automatically, described device includes：
Condition of acceptance information unit, for periodically receiving oil price, season, weather, vehicle information provision and road
The conditional information of situation；
Price masterplate generation unit, for by the conditional information and historical shipment data, automatic press to influence coefficient
Generate price masterplate；
Traffic condition unit is received, specification attribute, transport road length and transportation route for receiving cargo；
Transport price output unit, for according to the specification attribute of the cargo, transport road length and transportation route, passing through
The price masterplate calculates the transport price of the cargo transport, and exports automatically.
Optionally, the price masterplate generation unit is additionally operable to gradually deeply described by the calculation of linear regression
Price masterplate；The price masterplate is further improved by the calculation of random forest；By LSTM in conjunction with described linear time
Return or the calculation of the random forest solve it is long when Dependence Problem.
Optionally, the price masterplate generation unit, is additionally operable to receive estimated revenue input by user；Receive the cargo
Transport the actual gain obtained；It is compared, and is learnt with the estimated revenue according to the actual gain.
Optionally, the price masterplate generation unit is additionally operable to when the difference of comparison result be in fluctuation range, by the fortune
Transmission of data is stored in historical shipment data；The difference of comparison result exceeds fluctuation range, analyzes the transportation data, and change
The influence coefficient of the price masterplate increases the conditional information by actual conditions.
The third aspect provides a kind of computer readable storage medium, and influence factor is, storage is used for electronic data
The computer program of exchange, wherein the computer program makes computer execute the method that first aspect provides.
Fourth aspect, provides a kind of computer program product, and the computer program product includes storing computer journey
The non-transient computer readable storage medium of sequence, the computer program are operable to that computer is made to execute first aspect offer
Method.
Implement the embodiment of the present invention, has the advantages that：By for the factor that can influence freight rate, being divided into two classes,
One kind is to directly affect the factor of freight rate：Specification attribute, transport road length and transportation route of cargo etc., another kind of is potential
Factor, such as season, weather, oil price, vehicle information provision and road conditions etc.；By periodically receiving latency
Variation is changed price masterplate, and according to prolonged data analysis, study, constantly updates and improves, to obtain one
A error is minimum, most satisfied to valence masterplate, to achieve the purpose that freight rate is estimated；By the pricing system, solves root
Problem is formulated according to existing project source of goods freight rate, reduces arbitrary pricing error, realizes the real-time control to transport price, another party
Face can also provide reasonable, timely quotation for potential customers, effectively evade operational risk while fully exploitation potential customers.
Description of the drawings
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is the flow diagram for the method that cargo transport provided in an embodiment of the present invention is fixed a price automatically；
Fig. 2 is the structural schematic diagram for the device that cargo transport provided in an embodiment of the present invention is fixed a price automatically；
Fig. 3 is the structural schematic diagram of terminal provided in an embodiment of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, the every other implementation that those of ordinary skill in the art are obtained without creative efforts
Example, shall fall within the protection scope of the present invention.
Term " first ", " second ", " third " in description and claims of this specification and the attached drawing and "
Four " etc. be for distinguishing different objects, rather than for describing particular order.In addition, term " comprising " and " having " and it
Any deformation, it is intended that cover and non-exclusive include.Such as it contains the process of series of steps or unit, method, be
The step of system, product or equipment are not limited to list or unit, but further include the steps that optionally not listing or list
Member, or further include optionally for the intrinsic other steps of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that the specific effect factor, the structure or characteristic that describe can in conjunction with the embodiments
To be included at least one embodiment of the present invention；, which there is the phrase, in each position in the description to be each meant
Identical embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion；Those skilled in the art are explicit
Ground and implicitly understand, embodiment described herein can be combined with other embodiments.
Since cargo transport price is all to rely on manually to formulate, it is difficult to carry out control to a variety of changing factors, not only
Freight rate is and time-consuming and laborious there are large error, the problems such as cannot being managed collectively；In order to solve above-mentioned phenomenon, it is therefore necessary to,
A kind of method and device that cargo transport is fixed a price automatically is developed, by the pricing system, is solved according to the existing project source of goods
Freight rate formulates problem, reduces arbitrary pricing error, realizes the real-time control to transport price.
The specific embodiment of the invention provides a kind of method that cargo transport is fixed a price automatically, and this method is as shown in Figure 1, include
Following steps：
In step S101, periodically receive oil price, season, weather, vehicle information provision and road conditions item
Part information.
In embodiments of the present invention；The customization of shipping rate needs to arrange data there are many latencies, reason
The influence factor of clear price, usual latency include oil price, season, weather, vehicle information provision and road conditions etc., but
Without being limited thereto, it is all often in variation, so real-time query can only be carried out by internet that latency is most of；Pass through end
Hold the wired of itself, wireless telecom equipment to letters such as real-time oil price, season, weather, vehicle information provision and road conditions
Breath is inquired, and can probably carry out within every 5 to 10 minutes one query, update automatically, such as pass through 2G, 3G, 4G, LTE or NR net
Network is inquired；Preferably, it is inquired by 4G networks, to improve search efficiency；After accurately having understood latency,
Could be more accurate to the customization of shipping rate, all obtain reasonable prices thereby using family and customer.
In step s 102, automatic to generate price masterplate by influence coefficient by conditional information and historical shipment data.
In embodiments of the present invention, for the foundation of masterplate, process usually from the easier to the more advanced；It is possible, firstly, to first from base
This linear regression starts, if the freight rate of some cargo is only influenced by the relative quiescents factor such as path length, oil price,
It is so possible to obtain relatively good in linear regression as a result, obtaining ideal model；In addition to this, by linear
It returns, the size that each factor influences freight rate, that is, weight can be obtained according to its result；If relative quiescent factor
It is suitable with the weight of relative dynamic factor, then needing to consider more complicated masterplate, such as random forest and LSTM etc.；
Random Forest (random forest) can both solve classification problem, can also solve regression problem.It is selected in influence factor
On need not do excessive processing, and training speed is fast, is showed on data set good；Therefore random forest can be selected most
For one of main algorithm；From the perspective of the time, freight rate to be fixed a price is probably relevant with transaction value a few days ago,
And Long Short-Term Memory (LSTM, shot and long term memory network) Dependence Problems when can well solve long, this
Outside, it is also desirable to the cause of relative dynamic factor is explored, it may be related with time, local economic conditions or other factors；It is right
The considerations of these dynamic factors, can make masterplate more abundant close to true scene, also can make the price of freight rate more
Accurately.
The model of linear regression is：
hθ(x)=θ0+θ1x1+θ2x2+...+θnxn=θTx
Wherein x1,x2,...,xnSample data, i.e. influence factor；hθ(x) anticipation function hypotheses, θ table is indicated
Show that the weight of each influence factor, n indicate the number of input influence factor.In addition, y hereafter is also sample data.
The solution of θ is generally carried out by gradient descent method,
First, the cost function of regularization is：
Then, it is solved using gradient descent method, due to carrying out regularization, not being divided into following two situations：
So iteration continues, obtains minJ, just finds out the value of θ.
Except divided by, over-fitting in order to prevent, also by Ridge Regression, LASSO Regression and
Elastic Net solve the problems, such as linear regression.
Random forests algorithm is based on certainly by one kind that Leo Breiman and Adele Cutler were proposed jointly in 2001
The Ensemble Learning Algorithms of plan tree.RFR algorithms are the higher algorithms of accuracy in machine learning algorithm, can overcome single prediction or divide
The shortcomings that class model, is widely used in the fields such as economy, medicine, biology.
Random forest regression algorithm is by one group of recurrence decision subtree { h (x, θt), t=1,2 ..., T constitute combination
Model.Wherein, θtIt is to obey independent identically distributed stochastic variable, x is independent variable, and T indicates the number of decision tree.Utilize integrated
The thought of habit takes each decision subtree { h (x, θt) result of the mean value as regression forecasting：
Wherein, h (x, θt) it is based on x and θtOutput.
In order to overcome the problems, such as that decision-tree model precision is not high, easily over-fitting occurs, random forest introduces bagging
The thought of (bagging) and stochastic subspace.
Bagging：Randomly select multiple training samples with being put back to from original sample, and each training sample amount is equal to
Original sample amount, and each training sample is built respectively and returns decision subtree T, finally take the average value of each tree as final
Prediction result.
Stochastic subspace：During structure returns decision subtree, each split vertexes are empty from total influence factor
Between in randomly select candidate influence factor collection of the influence factor subspace F as node, and therefrom choose optimal influence factor into
Line splitting.This method not only ensure that influence factor subset was all different between node and each tree node between tree and tree, but also
It ensure that the independence and diversity of tree, and then improve the randomness of random forest node split.
Therefore the flow of entire algorithm can be described as：
Step 1：Using bagging thoughts, sample set is randomly generated.
Step 2：Using stochastic subspace thought, f influence factor is randomly selected, carries out node split, single of structure returns
Return decision subtree.
Step 3：Step 1, step 2 are repeated, builds T recurrence decision subtree, each tree free growth, without beta pruning,
Form forest.
Step 4：The predicted value of T decision subtree is averaged, as final result.
In LSTM neural networks, the processing that model will not pay close attention to last moment has that information can be used for lower a period of time
It carves, all can only pay close attention to the processing at current time each time.In fact, traditional neural network does not have memory function, so it is to every
The event that a moment occurs will not use the information occurred when being classified, then there is what method that can allow neural network energy
Enough remember these informationAnswer is exactly Recurrent Neural Networks (RNNs) recurrent neural networks LSTM.Long
Short Term Mermory network (LSTM) are a kind of special RNNs, Dependence Problem when can well solve long.
User is expected equipped with estimated revenue, after cargo is completed to transport, will transport the actual gain obtained and it is expected that obtains
Income be compared, and judge as a result, it is no user be expected fluctuation range in, if difference in desired extent, will transport
Data are stored in historical shipment data, can be used as later stage reference information, if difference is beyond in desired extent, terminal need to be to design
Masterplate and actual conditions are analyzed, and exploration difference occurs and is being added into mould if there is other influences factor with those aspects
In version, and changes the influence coefficient of price masterplate or increase conditional information by actual conditions；But influence factor quantity is often more,
Wherein there may be incoherent influence factor, be also likely to be present and interdepend between influence factor, be easy to cause it is following after
Fruit：1. influence factor number is more, the time needed for analyzing influence factor, training pattern is longer；2. influence factor number is got over
It is more, " dimension disaster " is easily caused, model also can be more complicated, and Generalization Ability can decline；Influence factor selection can reject not phase
It closes or the influence factor of redundancy improves model accuracy, reduce the mesh of run time to reach reduction influence factor number
's；Since the cargo that logistics is transported is varied, for each cargo, freight rate is by being influenced to may be to be not quite similar
, to different cargos, the influence factor of selection may be to be different；The freight rate of cargo mainly may be by path length
The relative dynamics factor collective effect such as the relative quiescents such as degree, oil price factor and season, weather, local vehicle source；It is selected in influence factor
When selecting, it is necessary to consider that the freight rate of cargo is influenced by relative dynamic factor；Influence according to dynamic factor to freight rate is formulated
Different models, and select suitable algorithm；Usually, influence factor is selected from the aspect of two：1. influence factor
Whether dissipate：If an influence factor does not dissipate, such as variance is close to 0, that is to say, that sample is in this influence factor
It there is no difference, there is no what is related to target with 2. influence factors for the differentiation of sample for this influence factor
Property：This puts more obvious, the high influence factor with target correlation, should preferably select.
In step s 103, specification attribute, transport road length and the transportation route of cargo are received.
In embodiments of the present invention, the specification attribute of cargo includes the volume of cargo, weight, type, Packing Condition, transport
The overall length of destination traveling is left in a length of origin in road, and transportation route can be by origin and all purposes is arranged, using
Third party's interface service plans that optimal path, optimal path can be that shortest path may be the fastest path, can also be arranged
The information such as loading time, vehicle commander's vehicle, handling number, but not limited to this, convenient for comprehensively fixing a price to cargo transport.
In step S104, according to the specification attribute of cargo, transport road length and transportation route, passes through masterplate of fixing a price and calculate
Go out the transport price of the cargo transport, and exports automatically.
In embodiments of the present invention, believed according to the price masterplate and goods information input by user and transport that automatically generate
Breath, calculate the transport price of the cargo transport automatically, and transport price can be in such a way that display is shown, short message sending
The mode of mode, the mode that mail is sent and voice broadcast is exported, but not limited to this.
Technical solution of the present invention, by for the factor that can influence freight rate, being divided into two classes, one kind directly affects freight rate
Factor：The specification attribute of cargo, transport road be long and transportation route etc., and another kind of is latency, for example, season, weather,
Oil price, vehicle information provision and road conditions etc.；By periodically receiving the variation of latency, price masterplate is carried out
Change, and according to prolonged data analysis, study, constantly updates and improve, it is minimum, most satisfied to obtain an error
To valence masterplate, to achieve the purpose that freight rate is estimated；By the pricing system, solve according to existing project source of goods freight rate system
Determine problem, reduce arbitrary pricing error, realizes on the other hand the real-time control to transport price can also provide for potential customers
Rationally, quotation in time effectively evades operational risk while fully exploitation potential customers.
Referring to Fig.2, Fig. 2 provides a kind of device that cargo transport is fixed a price automatically, device includes：
Condition of acceptance information unit 21, for periodically receiving oil price, season, weather, vehicle information provision and road
The conditional information of road situation.
Price masterplate generation unit 22, for by conditional information and historical shipment data, pressing influence coefficient life automatically
At price masterplate.
Optionally, price masterplate generation unit 22, is additionally operable to mould of gradually deeply fixing a price by the calculation of linear regression
Version；Price masterplate is further improved by the calculation of random forest；Pass through LSTM combinations linear regression or random forest
Dependence Problem when calculation solves long.
Optionally, price masterplate generation unit 22, is additionally operable to receive estimated revenue input by user；Cargo transport is received to obtain
The actual gain taken；It is compared, and is learnt with estimated revenue according to actual gain.
Optionally, price masterplate generation unit 22 is additionally operable to when the difference of comparison result be in fluctuation range, by the transport
Data are stored in historical shipment data；The difference of comparison result exceeds fluctuation range, analyzes the transportation data, and changes and determine
The influence coefficient of valence masterplate increases conditional information by actual conditions.
Traffic condition unit 23 is received, specification attribute, transport road length and transportation route for receiving cargo.
Transport price output unit 24 is used for the specification attribute according to cargo, transport road length and transportation route, by fixed
Valence masterplate calculates the transport price of the cargo transport, and exports automatically.
In embodiments of the present invention, each unit for the device that the cargo transport of terminal is fixed a price automatically can by corresponding hardware or
Software unit realizes that each unit can be independent soft and hardware unit, can also be integrated into a soft and hardware unit, herein not
To limit the present invention.
Fig. 3 shows the block diagram with the part-structure of the relevant terminal of terminal provided in an embodiment of the present invention.Reference chart
3, terminal includes：Radio frequency (Radio Frequency, RF) circuit 910, memory 920, input unit 930, sensor 950, sound
Frequency circuit 960, Wireless Fidelity (Wireless Fidelity, WiFi) module 970, application processor AP980 and power supply
990 equal components.It, can be with it will be understood by those skilled in the art that the restriction of the not structure paired terminal of terminal structure shown in Fig. 3
Including than illustrating more or fewer components, either combining certain components or different components arrangement.
Each component parts of terminal is specifically introduced with reference to Fig. 3：
Input unit 930 can be used for receiving the number or character information of input, and generate with the user setting of terminal with
And the related key signals input of function control.Specifically, input unit 930 may include touching display screen 933 and other inputs
Equipment 932.Input unit 930 can also include other input equipments 932.Specifically, other input equipments 932 may include but
One be not limited in physical button, function key (such as volume control button, switch key etc.), trace ball, mouse, operating lever etc.
Kind is a variety of.Wherein, the touching display screen 933, for sliding detecting user on the touching display screen 933
When operation, touch parameter collection is acquired, and the fingerprint identification device 931 is notified to carry out fingerprint collecting, and the touch-control is joined
Manifold is sent to the AP980；The fingerprint identification device 931 is sent for acquiring fingerprint image, and by the fingerprint image
To the AP980；The AP980, for being verified respectively to the touch parameter collection and the fingerprint image, Yi Ji
When the touch parameter collection and the fingerprint image are verified, more bio-identification operations are carried out.
AP980 is the control centre of terminal, using the various pieces of various interfaces and the entire terminal of connection, passes through fortune
Row executes the software program and/or module being stored in memory 920, and calls the data being stored in memory 920,
The various functions and processing data for executing terminal, to carry out integral monitoring to terminal.Optionally, AP980 may include one or
Multiple processing units；Optionally, AP980 can integrate application processor and modem processor, wherein application processor is main
Processing operation system, user interface and application program etc., modem processor mainly handle wireless communication.It is appreciated that
It is that above-mentioned modem processor can not also be integrated into AP980.
In addition, memory 920 may include high-speed random access memory, can also include nonvolatile memory, example
Such as at least one disk memory, flush memory device or other volatile solid-state parts.
RF circuits 910 can be used for sending and receiving for information.In general, RF circuits 910 include but not limited to antenna, at least one
A amplifier, transceiver, coupler, low-noise amplifier (Low Noise Amplifier, LNA), duplexer etc..This
Outside, RF circuits 910 can also be communicated with network and other equipment by radio communication.Above-mentioned wireless communication can use any logical
Beacon standard or agreement, including but not limited to global system for mobile communications (Global System of Mobile
Communication, GSM), general packet radio service (General Packet Radio Service, GPRS), code it is point more
Location (Code Division Multiple Access, CDMA), wideband code division multiple access (Wideband Code Division
Multiple Access, WCDMA), long term evolution (Long Term Evolution, LTE), Email, short message service
(Short Messaging Service, SMS) etc..
Terminal may also include at least one sensor 950, such as optical sensor, motion sensor and other sensors.
Specifically, optical sensor may include ambient light sensor and proximity sensor, wherein ambient light sensor can be according to ambient light
Light and shade adjust the brightness of touching display screen, proximity sensor can when terminal is moved in one's ear, close touching display screen and/
Or backlight.As a kind of motion sensor, accelerometer sensor can detect in all directions (generally three axis) acceleration
Size can detect that size and the direction of gravity when static, can be used to identify terminal posture application (such as it is anxious accelerate, emergency brake
Vehicle, zig zag, sudden turn of events road, dependent game, magnetometer pose calibrating), Vibration identification correlation function (for example hit, tap) etc.；
The other sensors such as the gyroscope, barometer, hygrometer, thermometer, the infrared sensor that can also configure as terminal, herein not
It repeats again.
Voicefrequency circuit 960, loud speaker 961, microphone 962 can provide the audio interface between user and terminal.Audio-frequency electric
The transformed electric signal of the audio data received can be transferred to loud speaker 961 by road 960, and sound is converted to by loud speaker 961
Signal plays；On the other hand, the voice signal of collection is converted to electric signal by microphone 962, is turned after being received by voicefrequency circuit 960
It is changed to audio data, then after audio data is played AP980 processing, through RF circuits 910 to be sent to such as another terminal, or
Person plays audio data to memory 920 to be further processed.
WiFi belongs to short range wireless transmission technology, and terminal can help user's transceiver electronics postal by WiFi module 970
Part, browsing webpage and access streaming video etc., it has provided wireless broadband internet to the user and has accessed.Although Fig. 3 is shown
WiFi module 970, but it is understood that, and it is not belonging to must be configured into for terminal, it can not change as needed completely
Become in the range of the essence of invention and omits.
Terminal further includes the power supply 990 (such as battery) powered to all parts, and optionally, power supply can pass through power supply pipe
Reason system and AP980 are logically contiguous, to realize the work(such as management charging, electric discharge and power managed by power-supply management system
Energy.
Although being not shown, terminal can also be including camera, bluetooth module, light compensating apparatus, light sensor etc., herein not
It repeats again.
In aforementioned embodiment shown in FIG. 1, the function of terminal can be based on the structure of the terminal in each step method flow
It realizes.
As can be seen that through the embodiment of the present invention, terminal is distributed not by the recognition sequence to different bio-identifications
Same priority, and in setting time, the second application program as user starts is different from the type of the first application program,
It needs user to re-execute more bio-identification operations, avoids directly to different types of application program highest priority, influence
The problem of safety.
The embodiment of the present invention also provides a kind of computer storage media, wherein computer storage media storage is for electricity
The computer program that subdata exchanges, it is any as described in above method embodiment which so that computer is executed
A kind of some or all of the method that cargo transport is fixed a price automatically step.
The embodiment of the present invention also provides a kind of computer program product, and the computer program product includes storing calculating
The non-transient computer readable storage medium of machine program, the computer program are operable to that computer is made to execute such as above-mentioned side
Some or all of the method that any type cargo transport described in method embodiment is fixed a price automatically step.
It should be noted that for each method embodiment above-mentioned, for simple description, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should understand that, the present invention is not limited by the described action sequence because
According to the present invention, certain steps can be performed in other orders or simultaneously.Secondly, those skilled in the art should also know
It knows, embodiment described in this description belongs to alternative embodiment, and involved action and module are not necessarily of the invention
It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, for example, the unit division, it is only a kind of
Division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component can combine or can
It can be ignored with being integrated into another system or some influence factors, or do not executed.Another point, shown or discussed is mutual
Between coupling, direct-coupling or communication connection can be INDIRECT COUPLING or communication link by some interfaces, device or unit
It connects, can be electrical or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of software program module.
If the integrated unit is realized in the form of software program module and sells or use as independent product
When, it can be stored in a computer-readable access to memory.Based on this understanding, technical scheme of the present invention substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of each embodiment the method for the present invention
Step.And memory above-mentioned includes：USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory
The various media that can store program code such as (RAM, Random Access Memory), mobile hard disk, magnetic disc or CD.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can be stored in a computer-readable memory, memory
May include：Flash disk, read-only memory (English：Read-Only Memory, referred to as：ROM), random access device (English：
Random Access Memory, referred to as：RAM), disk or CD etc..
The embodiment of the present invention is described in detail above, specific case used herein to the principle of the present invention and
Embodiment is expounded, and the explanation of above example is only intended to facilitate the understanding of the method and its core concept of the invention；
Meanwhile for those of ordinary skill in the art, according to the thought of the present invention, can in specific embodiments and applications
There is change place, in conclusion the content of the present specification should not be construed as limiting the invention.
Claims (10)
1. a kind of method that cargo transport is fixed a price automatically, which is characterized in that described method includes following steps：
Periodically receive oil price, season, weather, vehicle information provision and road conditions conditional information；
It is automatic to generate price masterplate by influence coefficient by the conditional information and historical shipment data；
Receive specification attribute, transport road length and the transportation route of cargo；
According to the specification attribute of the cargo, transport road length and transportation route, which is calculated by the price masterplate
The transport price of transport, and export automatically.
2. according to the method described in claim 1, it is characterized in that, by the conditional information and historical shipment data, certainly
It is dynamic to include by the step of influencing coefficient generation price masterplate：
Gradually go deep into the price masterplate by the calculation of linear regression；
The price masterplate is further improved by the calculation of random forest；
Dependence Problem when solving long in conjunction with the calculation of the linear regression or the random forest by LSTM.
3. according to the method described in claim 1, it is characterized in that, according to the specification attribute of the cargo, transport road it is long and
Transportation route calculates the transport price of the cargo transport, and further includes after output automatically：
Receive estimated revenue input by user；
Receive the actual gain that the cargo transport obtains；
It is compared, and is learnt with the estimated revenue according to the actual gain.
4. according to the method described in claim 3, it is characterized in that, being compared according to the actual gain and the estimated revenue
Compared with, and the step of being learnt includes：
When the difference of comparison result is that the transportation data is stored in historical shipment data in fluctuation range；
When comparison result difference exceed fluctuation range, which is analyzed, and change it is described price masterplate shadow
It rings coefficient or increases the conditional information by actual conditions.
5. a kind of realization device that cargo transport is fixed a price automatically, which is characterized in that described device includes：
Condition of acceptance information unit, for periodically receiving oil price, season, weather, vehicle information provision and road conditions
Conditional information；
Price masterplate generation unit, for by the conditional information and historical shipment data, automatic press to influence coefficient generation
Price masterplate；
Traffic condition unit is received, specification attribute, transport road length and transportation route for receiving cargo；
Transport price output unit is used for the specification attribute according to the cargo, transport road length and transportation route, by described
Price masterplate calculates the transport price of the cargo transport, and exports automatically.
6. device as claimed in claim 5, which is characterized in that
The price masterplate generation unit is additionally operable to gradually go deep into the price masterplate by the calculation of linear regression；It is logical
The calculation for crossing random forest further improves the price masterplate；By LSTM in conjunction with the linear regression or described random
The Dependence Problem when calculation of forest solves long.
7. device as claimed in claim 5, which is characterized in that
The price masterplate generation unit, is additionally operable to receive estimated revenue input by user；Receive what the cargo transport obtained
Actual gain；It is compared, and is learnt with the estimated revenue according to the actual gain.
8. device as claimed in claim 7, which is characterized in that
The price masterplate generation unit is additionally operable to when the difference of comparison result be to be stored in the transportation data in fluctuation range
Historical shipment data；The difference of comparison result exceeds fluctuation range, analyzes the transportation data, and change the price mould
The influence coefficient of version increases the conditional information by actual conditions.
9. a kind of computer readable storage medium, which is characterized in that it stores the computer program for electronic data interchange,
In, the computer program makes computer execute method according to any one of claims 1-4.
10. a kind of computer program product, which is characterized in that the computer program product includes storing computer program
Non-transient computer readable storage medium, the computer program are operable to that computer is made to execute such as claim 1-4
Method described in one.
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|---|---|---|---|
| CN201810268548.2A CN108681849A (en) | 2018-03-29 | 2018-03-29 | A kind of method and device that cargo transport is fixed a price automatically |
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|---|---|---|---|
| CN201810268548.2A CN108681849A (en) | 2018-03-29 | 2018-03-29 | A kind of method and device that cargo transport is fixed a price automatically |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109801021A (en) * | 2019-02-18 | 2019-05-24 | 惠龙易通国际物流股份有限公司 | Model generating method and device, information acquisition method and device |
| CN110175724A (en) * | 2019-05-31 | 2019-08-27 | 上海塑盛电子商务有限公司 | Predictor method, computer installation and storage medium is lost in Commodity Transportation |
| CN111746992A (en) * | 2019-07-05 | 2020-10-09 | 北京京东乾石科技有限公司 | AGV-based automatic warehouse goods storage position determination method and device |
| CN113780929A (en) * | 2021-03-25 | 2021-12-10 | 北京京东振世信息技术有限公司 | Information processing method and device, storage medium and electronic equipment |
| CN115587779A (en) * | 2022-11-24 | 2023-01-10 | 永立数智(北京)科技有限公司 | Freight transportation price fault-tolerant estimation method based on space-time dynamic information |
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2018
- 2018-03-29 CN CN201810268548.2A patent/CN108681849A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109801021A (en) * | 2019-02-18 | 2019-05-24 | 惠龙易通国际物流股份有限公司 | Model generating method and device, information acquisition method and device |
| CN110175724A (en) * | 2019-05-31 | 2019-08-27 | 上海塑盛电子商务有限公司 | Predictor method, computer installation and storage medium is lost in Commodity Transportation |
| CN111746992A (en) * | 2019-07-05 | 2020-10-09 | 北京京东乾石科技有限公司 | AGV-based automatic warehouse goods storage position determination method and device |
| CN113780929A (en) * | 2021-03-25 | 2021-12-10 | 北京京东振世信息技术有限公司 | Information processing method and device, storage medium and electronic equipment |
| CN115587779A (en) * | 2022-11-24 | 2023-01-10 | 永立数智(北京)科技有限公司 | Freight transportation price fault-tolerant estimation method based on space-time dynamic information |
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Address after: 646000 No. three, 17 LAN an road, Naxi District, Luzhou, Sichuan, China (1 commercial building, West China machinery market) Applicant after: Hongtu Intelligent Logistics Co.,Ltd. Applicant after: CHENGDU SAILIPEI LOGISTICS TECHNOLOGY Co.,Ltd. Address before: 646000 No. three, 17 LAN an road, Naxi District, Luzhou, Sichuan, China (1 commercial building, West China machinery market) Applicant before: HONGTU LOGISTICS Co.,Ltd. Applicant before: CHENGDU SAILIPEI LOGISTICS TECHNOLOGY Co.,Ltd. |
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Application publication date: 20181019 |