CN105719112A - Determination method and device for distribution abnormal state, and server - Google Patents
Determination method and device for distribution abnormal state, and server Download PDFInfo
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- CN105719112A CN105719112A CN201510266964.5A CN201510266964A CN105719112A CN 105719112 A CN105719112 A CN 105719112A CN 201510266964 A CN201510266964 A CN 201510266964A CN 105719112 A CN105719112 A CN 105719112A
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Abstract
The invention discloses a determination method and a device for a distribution abnormal state, and a server. The embodiment of the method comprises steps of obtaining type information of an abnormal state during a distribution process, obtaining a relevant parameter related to the abnormal state type from known data, adopting a model corresponding to the abnormal state type to perform analysis on the relevant parameter in order to determine the reason for the generation of the abnormal state during the distribution process. The implementation of the invention determines the generation reason for the abnormal state during the distribution process. The determination method for the distribution abnormal state solves the technical problems that: when the generation reason for the abnormal state is determined in the prior art, the efficiency is low, the cycle is long and resource utilization rate is low. Besides, the determination method of the invention improves the efficiency of searching the reason for generation of the abnormal state.
Description
Technical field
The application relates to field of computer technology, particularly relates to the dispensing defining method of abnormality, device and server.
Background technology
Along with the development of ecommerce, also it is particularly important with city dispensing.In the process of same city dispensing, it is necessary to the geographical position residing for dispensing person, quantity on order, commercial circle scope, the factor such as the picking of order and ship-to, reasonably distribute order to dispensing person.Discounting for these factors, directly distribute order with purpose dispensing person, it is likely that cause the significant wastage of resource, and reduce the efficiency of dispensing.
Currently for delivery service, generally by the assignment manually carrying out task.Owing to the data of magnanimity can be produced in delivery process, therefore, when requiring to look up the abnormality once occurred in delivery process, be difficult to from mass data recover occurred abnormality time scene and relevant parameter, so, it is determined that when causing the reason of abnormality, also can be relatively difficult.Prior art has the disadvantage that: the technical problems such as when determining abnormality Producing reason, efficiency is low, and the cycle is long, and resource utilization is low.
Summary of the invention
This application provides the defining method of a kind of abnormality of providing and delivering, device and server.Solve when prior art is determined abnormality Producing reason, the technical problems such as efficiency is low, and the cycle is long, and resource utilization is low.
First aspect, this application provides the defining method of a kind of abnormality of providing and delivering, and described method includes: obtain the information of the type of the abnormality occurred in delivery process；The relevant parameter being associated with the type of described abnormality is obtained from primary data；Adopt the model corresponding with the type of described abnormality that described relevant parameter is analyzed, to determine the abnormality Producing reason occurred in described delivery process.
In some embodiments, the information of the type of the abnormality occurred in described acquisition delivery process, including: obtain, from dispensing daily record, the dispensing parameter meeting predetermined condition；The information of the type of the abnormality occurred in delivery process is determined based on described dispensing parameter.
In some embodiments, the information of the described type determining the abnormality occurred in delivery process based on described dispensing parameter, including: parameter reference values corresponding with normal condition for described dispensing parameter is compared, to obtain the difference of correspondence；If described difference meets specified requirements, described dispensing parameter corresponding for described difference is defined as anomaly parameter；Difference according to described anomaly parameter and correspondence determines the information of the type of the abnormality occurred in delivery process.
In some embodiments, the described relevant parameter that acquisition is associated with the type of described abnormality from given data, including: the dispensing stage of correspondence is determined according to the type of described abnormality；Parameter corresponding to described dispensing stage is obtained from given data；The relevant parameter of the type association of acquisition and described abnormality from the parameter that the described dispensing stage is corresponding.
In some embodiments, described method also includes: adopt the reason of the abnormality produced in described delivery process that the model that the type of described abnormality is corresponding is modified.
Second aspect, this application provides the determination device of a kind of abnormality of providing and delivering, and described device includes: acquiring unit, for obtaining the information of the type of the abnormality occurred in delivery process；Fetch unit, for obtaining the relevant parameter being associated with the type of described abnormality from given data；Determine unit, for adopting the model corresponding with the type of described abnormality that described relevant parameter is analyzed, to determine the abnormality Producing reason occurred in described delivery process.
In some embodiments, described acquiring unit includes: parameter acquiring subelement, for obtaining, from dispensing daily record, the dispensing parameter meeting predetermined condition；Type determination unit, for determining the information of the type of the abnormality occurred in delivery process based on described dispensing parameter.
In some embodiments, described type determination cell location is used for: compared by parameter reference values corresponding with normal condition for described dispensing parameter, to obtain the difference of correspondence；If described difference meets specified requirements, described dispensing parameter corresponding for described difference is defined as anomaly parameter；Difference according to described anomaly parameter and correspondence determines the information of the type of the abnormality occurred in delivery process.
In some embodiments, fetch described in cell location for: according to the type of described abnormality determine correspondence the dispensing stage；Parameter corresponding to described dispensing stage is obtained from given data；The relevant parameter of the type association of acquisition and described abnormality from the parameter that the described dispensing stage is corresponding.
In some embodiments, described device also includes: amending unit, for adopting the reason of the abnormality produced in described delivery process that the model that the type of described abnormality is corresponding is modified.
The third aspect, this application provides a kind of server, and described server includes: the device described in implementation that any one of second aspect or second aspect is possible.
The defining method of dispensing abnormality, device and the server that the application provides, by obtaining the information of the type of the abnormality occurred in delivery process, the associated parameter associated with the type is obtained from given data, and adopt the model of correspondence that above-mentioned relevant parameter is analyzed, so that it is determined that the abnormality Producing reason occurred in delivery process.Solve when prior art is determined abnormality Producing reason, the technical problems such as efficiency is low, and the cycle is long, and resource utilization is low, improve the efficiency searching abnormality Producing reason.
Accompanying drawing explanation
By reading the detailed description that non-limiting example is made made with reference to the following drawings, other features, purpose and advantage will become more apparent upon:
Fig. 1 is the flow chart of an embodiment of the defining method of the dispensing abnormality that the embodiment of the present application provides；
Fig. 2 is the flow chart of another embodiment of the method for the information of the abnormality type occurred in the acquisition delivery process that the embodiment of the present application provides；
Fig. 3 is the flow chart of an embodiment of the method determining the abnormality type information occurred in delivery process based on dispensing parameter that the embodiment of the present application provides；
Fig. 4 is the flow chart of an embodiment of the method obtaining the relevant parameter being associated with the type of abnormality from given data that the embodiment of the present application provides；
Fig. 5 is the structural representation of an embodiment of the determination device of the dispensing abnormality that the embodiment of the present application provides；
Fig. 6 is the structural representation that the dispensing abnormality that the embodiment of the present application provides determines an embodiment of server；
Fig. 7 is adapted for the structural representation of the computer system for the terminal unit or server realizing the embodiment of the present application.
Detailed description of the invention
Below in conjunction with drawings and Examples, the application is described in further detail.It is understood that specific embodiment described herein is used only for explaining related invention, but not the restriction to this invention.It addition, for the ease of describing, accompanying drawing illustrate only the part relevant to about invention.
It should be noted that when not conflicting, the embodiment in the application and the feature in embodiment can be mutually combined.Describe the application below with reference to the accompanying drawings and in conjunction with the embodiments in detail.
Refer to Fig. 1, it illustrates the flow process 100 of an embodiment of the defining method of dispensing abnormality according to the application.
As it is shown in figure 1, in a step 101, the information of the type of the abnormality occurred in delivery process is obtained.
In general, namely the order in each commercial circle has started delivery process after entering logistics.In delivery process, it is possible to include multiple dispensing stage, for instance, the dispensing stage can include order and wait allocated phase, in the Order splitting stage, in dispensing person's order stage, in dispensing person's picking stage, in dispensing person's delivery stage, signs for stage and user feedback stage etc..
In delivery process, each dispensing stage is likely to abnormality occur, such as, allocated phase is waited at order, it is likely to occur order pressure single abnormal (time as single in order pressure exceedes predetermined threshold etc.), dispensing person deviates predetermined commercial circle scope, logistics list storage bill amount abnormal (period logistics at noon list storage bill amount workaday period at noon than ever as workaday in certain substantial increase/reduce), and dispensing person such as goes offline at the abnormality.
Again such as, in the Order splitting stage, in fact it could happen that Order splitting unreasonable (as uneven in the quantity on order of distributing to dispensing person, quantity on order that some dispensing person gets too much/very few etc.), order merges the abnormalities such as abnormal.
In dispensing person's order stage, in fact it could happen that abnormalities such as dispensing person's orders (order as non-in dispensing person in the predetermined amount of time after Order splitting) in violation of rules and regulations.
In dispensing person's picking stage, in fact it could happen that treat in picking order time-out, dispensing person's picking time anomaly (as slow in picking speed/shipment speed), treat in picking the abnormalities such as order is cancelled.
In dispensing person's delivery stage, in fact it could happen that the order time-out provided and delivered, the abnormalities such as the order provided and delivered is cancelled, and the list amount that certain moment dispensing person is providing and delivering per capita is abnormal.
In the stage of signing for, in fact it could happen that Delivered order time-out, user refuses the abnormalities such as single.
In the user feedback stage, in fact it could happen that user provides and delivers the abnormalities such as satisfaction is low.
In the present embodiment, the various parameters produced in delivery process and information can be stored by system, to generate dispensing daily record.Wherein, the parameter produced in delivery process and information may include that order number, quantity on order, the moment that each event occurs, the identification information of dispensing person, the event trace of dispensing person, working hour of dispensing person etc..The parameter and the information that are appreciated that in delivery process to produce can also include other parameter and information.
If delivery process occurs abnormality, then can determine the type of the abnormality of appearance according to the various parameters produced in delivery process and information.Wherein, the type of abnormality may be used for distinguishing different abnormality, the type of a kind of abnormality can one or more abnormalities corresponding, and the classification corresponding to the relevant parameter associated by abnormality of the type of identical abnormality is identical.Such as, order pressure mentioned above is single abnormal, dispensing person deviates predetermined commercial circle scope, logistics list storage bill amount is abnormal, dispensing person goes offline, Order splitting is unreasonable, order merges abnormal, dispensing person's order is in violation of rules and regulations, treat order time-out in picking, dispensing person's picking time anomaly, treat that in picking, order is cancelled, treat order time-out in picking, dispensing person's picking time anomaly, treat that in picking, order is cancelled, the order time-out provided and delivered, the order provided and delivered is cancelled, the list amount that certain moment dispensing person is providing and delivering per capita is abnormal, Delivered order time-out, user refuses list, user's satisfaction of providing and delivering is low etc., all can as the type of abnormality.It is appreciated that the division of the type of abnormality is not limited by the application.
Then, in a step 102, from given data, obtain the relevant parameter being associated with the type of above-mentioned abnormality.
In the present embodiment, it is possible to obtain, from the dispensing daily record stored, the relevant parameter being associated with the type of above-mentioned abnormality.Wherein, the relevant parameter being associated with the type of abnormality is the parameter of the abnormality corresponding to type that can affect abnormality, or the parameter being closely related with the abnormality corresponding to the type of abnormality.Such as, the type assuming abnormality is that dispensing person deviates predetermined commercial circle scope, then its relevant parameter can include the scope of predetermined commercial circle, deviate the numbering of the dispensing person of predetermined commercial circle scope, the scoring of this dispensing person, this dispensing person is residing scope after deviateing predetermined commercial circle, working time of this dispensing person etc..
It should be noted that the classification corresponding to the relevant parameter associated by abnormality of identical type is identical.Such as, abnormality that the quantity on order that is assigned to for certain dispensing person is very few and the too much abnormality of the quantity on order that certain dispensing person is assigned to, it is unreasonable that the type of corresponding abnormality is Order splitting, then associated relevant parameter is also identical, may each comprise be assigned to the abnormal dispensing person of quantity on order numbering, mark, the quantity on order that is assigned to, the information such as working hour.Because above-mentioned relevant parameter is all likely affects above two abnormality, or is closely related with above two abnormality.
Finally, in step 103, adopt the model corresponding with the type of above-mentioned abnormality that above-mentioned relevant parameter is analyzed, to determine the abnormality Producing reason occurred in delivery process.
Owing to relevant parameter is the parameter that can affect the abnormality corresponding to the type of abnormality, or the parameter being closely related with the abnormality corresponding to the type of abnormality.Therefore, some relevant parameter can reflect the reason that abnormality occurs.For example, it is assumed that the type of abnormality is that Order splitting is unreasonable, corresponding relevant parameter can include being assigned to the abnormal dispensing person of quantity on order numbering, mark, the quantity on order that is assigned to, the information such as working hour.Specifically, if the quantity on order that abnormality is certain dispensing person to be assigned to is too much, then can pass through corresponding relevant parameter is analyzed, and the scoring that reason is this dispensing person obtaining the appearance of this abnormality is higher.
Again such as, assume that the type of abnormality is low for user's satisfaction of providing and delivering, corresponding relevant parameter can include the O/No. that this user is corresponding, to this user provide and deliver goods dispensing person numbering, mark, the quantity on order that is assigned to, working hour, present position, in delivery process, each stage such as is taken time at the information.Then can by corresponding relevant parameter be analyzed, it is determined that the scoring that the reason that abnormality occurs is because this dispensing person is relatively low, also it is because in delivery process certain stage and is taken time long etc..
In the present embodiment, it is possible to adopt the model corresponding with the type of above-mentioned abnormality that above-mentioned relevant parameter is analyzed, to determine the abnormality Producing reason occurred in delivery process.Wherein, the type correspondence model I of every kind of abnormality, this class model is the model that training in advance is good, it is possible to by the relevant parameter that the type of above-mentioned abnormality is corresponding is analyzed, so that it is determined that the reason that abnormality occurs.
The method that above-described embodiment of the application provides, by obtaining the information of the type of the abnormality occurred in delivery process, the relevant parameter associated with the type is fetched from the data stored, and adopt the model of correspondence that above-mentioned relevant parameter is analyzed, so that it is determined that the abnormality Producing reason occurred in delivery process.Solve when prior art is determined abnormality Producing reason, the technical problems such as efficiency is low, and the cycle is long, and resource utilization is low, improve the efficiency searching abnormality Producing reason.
With further reference to Fig. 2, it illustrates the flow process 200 of an embodiment of the method for the information of the abnormality type occurred in the acquisition delivery process according to the application.
As in figure 2 it is shown, in step 201, obtain, from dispensing daily record, the dispensing parameter meeting predetermined condition.
In the present embodiment, predetermined condition can be that user is operated by interface input or the screening foundation selected from existing option, it is also possible to is pre-set screening foundation, it will be understood that particular content and the setting means of predetermined condition are not limited by the application.Dispensing parameter be in delivery process to the relevant all parameters of dispensing, for instance, quantity on order that certain dispensing person is assigned to, working hour, in delivery process, each stage such as is taken time at the parameter.Dispensing parameter can also be the parameter that other is relevant to dispensing.
In a kind of realization of the present embodiment, first, obtain user and be operated by interface input or the screening foundation selected from existing option, for instance, screening foundation can be predetermined order number, predetermined distribution time section, numbering of predetermined dispensing person etc..Then, obtain, from the dispensing daily record stored, the dispensing parameter meeting screening foundation.Such as, obtain the dispensing parameter that predetermined order number is relevant, or the dispensing parameter that predetermined distribution time section is relevant, or the relevant dispensing parameter of the numbering of predetermined dispensing person etc..
In the another kind of realization of the present embodiment, it is also possible to obtain pre-set screening foundation, for instance, screening foundation can be predetermined distribution time section, numbering of predetermined dispensing person etc..Then, obtain, from the dispensing daily record stored, the dispensing parameter meeting screening foundation.
Finally, in step 202., the information of the type of the abnormality occurred in delivery process is determined based on above-mentioned dispensing parameter.
Generally, being likely to occur substantial amounts of abnormality in delivery process, it is impossible to check one by one, be sometimes likely to the abnormality needing emphasis to check certain period, sometimes the possible emphasis of user checks the abnormality relevant to certain aspect.Therefore it may only be necessary to the dispensing parameter meeting predetermined condition taken out, and determine the information of the type of the abnormality occurred in delivery process based on above-mentioned dispensing parameter.
In the present embodiment, owing to some dispensing parameter can reflect the state of dispensing, therefore, after obtaining the dispensing parameter meeting predetermined condition, it is possible to determine the type of the abnormality occurred in delivery process according to these dispensing parameters.
With further reference to Fig. 3, it illustrates the flow process 300 of an embodiment of the method determining the abnormality type information occurred in delivery process based on above-mentioned dispensing parameter that the application provides.
As it is shown on figure 3, in step 301, parameter reference values corresponding with normal condition for above-mentioned dispensing parameter is compared, to obtain the difference of correspondence.
Then, in step 302, if above-mentioned difference meets specified requirements, dispensing parameter corresponding for this difference is defined as anomaly parameter.
In the present embodiment, in advance that some parameter setting normal condition of providing and delivering is corresponding parameter reference values, then, difference between dispensing parameter and the corresponding parameter reference values on realistic border, this difference can tape symbol, represent magnitude relationship between actual dispensing parameter and corresponding parameter reference values (the dispensing parameter and corresponding parameter reference values of reality which big).When this difference meets specified requirements, dispensing parameter corresponding for this difference is defined as anomaly parameter.Wherein, it is intended that condition is when parameter of providing and delivering is anomaly parameter, the condition that above-mentioned difference is met.This specified requirements can be pre-set.
Such as, assume to have preset certain stage during normal condition in delivery process and taken time as half an hour, and in delivery process, this stage reality is taken time is one hour, then in delivery process, this stage reality is taken time and difference between corresponding parameter reference values is half an hour.And the symbol of this difference is just, represent that this stage reality is taken time more than parameter reference values.If in delivery process, this stage reality is taken time is 20 minutes, then in delivery process, this stage reality is taken time and difference between corresponding parameter reference values is 10 minutes.And the symbol of this difference is negative, represent that this stage reality is taken time less than parameter reference values.It is assumed that specified requirements set in advance is that above-mentioned difference was more than 20 minutes, then if this stage reality is taken time more than 50 minutes in delivery process, it is determined that this stage reality is taken time as anomaly parameter.
Finally, in step 303, the information of the type of the abnormality occurred in delivery process is determined according to the difference of above-mentioned anomaly parameter and correspondence.
In the present embodiment, it is possible to determine the information of the type of the abnormality occurred in delivery process according to the difference of anomaly parameter and correspondence.Such as, with reference to above-mentioned example, assume that in delivery process, anomaly parameter is actual institute's time spent in certain stage (one hour), difference between itself and corresponding parameter reference values (30 minutes) is 30 minutes, then may determine that the type of the abnormality of its correspondence is time-out of above-mentioned stage.
Again such as, assume in the Order splitting stage, anomaly parameter is the order numbers (3) that certain dispensing person gets, and the difference between itself and corresponding parameter reference values (6) is 3, then may determine that the type of the abnormality of its correspondence is that Order splitting is unreasonable.
With further reference to Fig. 4, it illustrates the flow process 400 of an embodiment of the method obtaining the relevant parameter being associated with the type of abnormality from given data that the application provides.
As shown in Figure 4, in step 401, the dispensing stage of correspondence is determined according to the type of above-mentioned abnormality.
Then, in step 402, from given data, obtain parameter corresponding to above-mentioned dispensing stage.
In dispensing daily record, storage has the data of magnanimity, if directly searching data from mass data can compare waste resource, also loses time so that search efficiency reduces.In the present embodiment, the type of abnormality certain dispensing stage corresponding, and stage of providing and delivering corresponding a series of relevant parameters.First can determine the dispensing stage of correspondence according to the type of above-mentioned abnormality, then, from the data stored, obtain parameter corresponding to above-mentioned dispensing stage.As such, it is possible to seeking scope is narrowed down in a less scope.
Finally, in step 403, from parameter corresponding to above-mentioned dispensing stage, obtain the relevant parameter of type association with above-mentioned abnormality.
In some optional embodiments, said method also includes: adopt the reason of the abnormality produced in delivery process that the model that the type of above-mentioned abnormality is corresponding is modified.
In the present embodiment, the model that the type of above-mentioned abnormality is corresponding is for distributing or the model of setup parameter in delivery process, for instance, it is used for distributing order etc..In delivery process, produce abnormality and be likely to there is relation with dispensing model, it is therefore possible to use this model is modified by the reason of abnormality, thus obtaining more excellent model.
Although it should be noted that, describe the operation of the inventive method in the accompanying drawings with particular order, but, this does not require that or implies and must operate to perform these according to this particular order, or having to carry out all shown operation could realize desired result.On the contrary, the step described in flow chart can change execution sequence.Additionally or alternatively, it is convenient to omit some step, multiple steps are merged into a step and performs, and/or a step is decomposed into the execution of multiple step.
With further reference to Fig. 5, it illustrates the structural representation of an embodiment of the determination device of dispensing abnormality according to the application.
As it is shown in figure 5, the device 500 of the present embodiment includes: acquiring unit 501, fetch unit 502 and determine unit 503.Wherein, acquiring unit 501 is for obtaining the information of the type of the abnormality occurred in delivery process.Fetch unit 502 for obtaining the relevant parameter being associated with the type of above-mentioned abnormality from given data.Determine that unit 503 is for adopting the model corresponding with the type of above-mentioned abnormality that above-mentioned relevant parameter is analyzed, to determine the abnormality Producing reason occurred in delivery process.
In some optional embodiments, acquiring unit includes: parameter acquiring subelement and type determination unit (not shown).Wherein, parameter acquiring subelement is for obtaining, from dispensing daily record, the dispensing parameter meeting predetermined condition.Type determination unit for determining the information of the type of the abnormality occurred in delivery process based on above-mentioned dispensing parameter.
In some optional embodiments, type determination cell location is used for: compared by parameter reference values corresponding with normal condition for above-mentioned dispensing parameter, to obtain the difference of correspondence.If this difference meets specified requirements, dispensing parameter corresponding for this difference is defined as anomaly parameter.Difference according to above-mentioned anomaly parameter and correspondence determines the information of the type of the abnormality occurred in delivery process.
In some optional embodiments, fetch cell location for: according to the type of above-mentioned abnormality determine correspondence the dispensing stage.Parameter corresponding to above-mentioned dispensing stage is obtained from given data.The relevant parameter of the type association of acquisition and above-mentioned abnormality from the parameter that this dispensing stage is corresponding.
In some optional embodiments, device 500 also includes amending unit (not shown), and the model that the type of described abnormality is corresponding is modified by amending unit for adopting the reason of the abnormality produced in delivery process.
Should be appreciated that all unit recorded in device 500 or module are corresponding with reference to each step in Fig. 1-4 method described.Thus, the operation and the feature that describe above with respect to method are equally applicable to device 500 and the unit wherein comprised, and do not repeat them here.Device 500 can pre-set in the server, it is also possible to is loaded in server by modes such as downloads.Corresponding units in device 500 can with the unit in server cooperate with realize dispensing abnormality feedback scheme.
The embodiment of the present application provides a kind of server determined for abnormality of providing and delivering, and as shown in Figure 6, this server includes: dispensing abnormality determines device 500.
It should be noted that determine that the associated description of device is referred to the description of the appropriate section of Fig. 1 to Fig. 5 about dispensing abnormality in the embodiment of the present application, the embodiment of the present application will not be described in great detail herein.
Below with reference to Fig. 7, it illustrates the structural representation of the computer system 700 being suitable to terminal unit or server for realizing the embodiment of the present application.
As shown in Figure 7, computer system 700 includes CPU (CPU) 701, its can according to the program being stored in read only memory (ROM) 702 or from storage part 708 be loaded into the program random access storage device (RAM) 703 and perform various suitable action and process.In RAM703, also storage has system 700 to operate required various programs and data.CPU701, ROM702 and RAM703 are connected with each other by bus 704.Input/output (I/O) interface 705 is also connected to bus 704.
It is connected to I/O interface 705: include the importation 706 of keyboard, mouse etc. with lower component；Output part 707 including such as cathode ray tube (CRT), liquid crystal display (LCD) etc. and speaker etc.；Storage part 708 including hard disk etc.；And include the communications portion 709 of the NIC of such as LAN card, modem etc..Communications portion 709 performs communication process via the network of such as the Internet.Driver 710 is connected to I/O interface 705 also according to needs.Detachable media 711, such as disk, CD, magneto-optic disk, semiconductor memory etc., be arranged in driver 710 as required, in order to the computer program read from it is mounted into storage part 708 as required.
Especially, according to embodiment of the disclosure, the process described above with reference to flow chart may be implemented as computer software programs.Such as, embodiment of the disclosure and include a kind of computer program, it includes the computer program being tangibly embodied on machine readable media, and described computer program comprises the program code for performing the method shown in flow chart.In such embodiments, this computer program can pass through communications portion 709 and be downloaded and installed from network, and/or is mounted from detachable media 711.
Flow chart in accompanying drawing and block diagram, it is illustrated that according to the system of various embodiments of the invention, the architectural framework in the cards of method and computer program product, function and operation.In this, flow chart or each square frame in block diagram can represent a part for a module, program segment or code, and a part for described module, program segment or code comprises the executable instruction of one or more logic function for realizing regulation.It should also be noted that at some as in the realization replaced, the function marked in square frame can also to be different from the order generation marked in accompanying drawing.Such as, two square frames succeedingly represented can essentially perform substantially in parallel, and they can also perform sometimes in the opposite order, and this determines according to involved function.It will also be noted that, the combination of the square frame in each square frame in block diagram and/or flow chart and block diagram and/or flow chart, can realize by the special hardware based system of the function or operation that perform regulation, or can realize with the combination of specialized hardware Yu computer instruction.
It is described in unit module involved in the embodiment of the present application to be realized by the mode of software, it is also possible to realized by the mode of hardware.Described unit module can also be arranged within a processor, for instance, it is possible to it is described as: a kind of processor includes acquiring unit, fetches unit, it is determined that unit.Wherein, the title of these unit modules is not intended that the restriction to this unit module itself under certain conditions, for instance, acquiring unit is also described as " for obtaining the unit of the information of the type of the abnormality occurred in delivery process ".
As on the other hand, present invention also provides a kind of computer-readable recording medium, this computer-readable recording medium can be the computer-readable recording medium comprised in device described in above-described embodiment；Can also be individualism, be unkitted the computer-readable recording medium allocating in terminal.Described computer-readable recording medium storage has one or more than one program, and described program is used for performing to be described in the defining method of the dispensing abnormality of the application by one or more than one processor.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.Skilled artisan would appreciate that, invention scope involved in the application, it is not limited to the technical scheme of the particular combination of above-mentioned technical characteristic, when also should be encompassed in without departing from described inventive concept simultaneously, other technical scheme being carried out combination in any by above-mentioned technical characteristic or its equivalent feature and being formed.Such as features described above and (but not limited to) disclosed herein have the technical characteristic of similar functions and replace mutually and the technical scheme that formed.
Claims (11)
1. the defining method of an abnormality of providing and delivering, it is characterised in that described method includes:
Obtain the information of the type of the abnormality occurred in delivery process；
The relevant parameter being associated with the type of described abnormality is obtained from given data；
Adopt the model corresponding with the type of described abnormality that described relevant parameter is analyzed, to determine the abnormality Producing reason occurred in described delivery process.
2. method according to claim 1, it is characterised in that the information of the type of the abnormality occurred in described acquisition delivery process, including:
Obtain, from dispensing daily record, the dispensing parameter meeting predetermined condition；
The information of the type of the abnormality occurred in delivery process is determined based on described dispensing parameter.
3. method according to claim 2, it is characterised in that the information of the described type determining the abnormality occurred in delivery process based on described dispensing parameter, including:
Parameter reference values corresponding with normal condition for described dispensing parameter is compared, to obtain the difference of correspondence；
If described difference meets specified requirements, described dispensing parameter corresponding for described difference is defined as anomaly parameter；
Difference according to described anomaly parameter and correspondence determines the information of the type of the abnormality occurred in delivery process.
4. method according to claim 1, it is characterised in that the described relevant parameter that acquisition is associated with the type of described abnormality from given data, including:
Type according to described abnormality determines the dispensing stage of correspondence；
Parameter corresponding to described dispensing stage is obtained from given data；
The relevant parameter of the type association of acquisition and described abnormality from the parameter that the described dispensing stage is corresponding.
5. method according to claim 1, it is characterised in that described method also includes: adopt the reason of the abnormality produced in described delivery process that the model that the type of described abnormality is corresponding is modified.
6. the determination device of an abnormality of providing and delivering, it is characterised in that described device includes:
Acquiring unit, for obtaining the information of the type of the abnormality occurred in delivery process；
Fetch unit, for obtaining the relevant parameter being associated with the type of described abnormality from given data；
Determine unit, for adopting the model corresponding with the type of described abnormality that described relevant parameter is analyzed, to determine the abnormality Producing reason occurred in described delivery process.
7. device according to claim 6, it is characterised in that described acquiring unit includes:
Parameter acquiring subelement, for obtaining, from dispensing daily record, the dispensing parameter meeting predetermined condition；
Type determination unit, for determining the information of the type of the abnormality occurred in delivery process based on described dispensing parameter.
8. device according to claim 7, it is characterised in that described type determination cell location is used for:
Parameter reference values corresponding with normal condition for described dispensing parameter is compared, to obtain the difference of correspondence；
If described difference meets specified requirements, described dispensing parameter corresponding for described difference is defined as anomaly parameter；
Difference according to described anomaly parameter and correspondence determines the information of the type of the abnormality occurred in delivery process.
9. device according to claim 6, it is characterised in that described in fetch cell location for:
Type according to described abnormality determines the dispensing stage of correspondence；
Parameter corresponding to described dispensing stage is obtained from given data；
The relevant parameter of the type association of acquisition and described abnormality from the parameter that the described dispensing stage is corresponding.
10. device according to claim 6, it is characterised in that described device also includes: amending unit, for adopting the reason of the abnormality produced in described delivery process that the model that the type of described abnormality is corresponding is modified.
11. a server, it is characterised in that described server includes: device as described in any one in claim 6-10.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107707376A (en) * | 2017-06-09 | 2018-02-16 | 贵州白山云科技有限公司 | A kind of method and system for monitoring and alerting |
| CN108537485A (en) * | 2018-04-11 | 2018-09-14 | 圆通速递有限公司 | A kind of processing method and system of express mail delay |
| CN108694633A (en) * | 2017-04-06 | 2018-10-23 | 北京京东尚科信息技术有限公司 | Order abnormality detection and facture, device, electronic equipment and readable storage medium storing program for executing |
| CN109615312A (en) * | 2018-10-23 | 2019-04-12 | 平安科技（深圳）有限公司 | Business abnormal investigation method, apparatus, electronic equipment and storage medium in execution |
| CN110134571A (en) * | 2019-05-22 | 2019-08-16 | 湃方科技(北京)有限责任公司 | Rotary-type mechanical equipment health status monitoring method and device |
| CN110503477A (en) * | 2019-08-26 | 2019-11-26 | 上海携程国际旅行社有限公司 | Analysis method, system, equipment and the storage medium of the gross profit abnormal cause of order |
| CN111401707A (en) * | 2020-03-06 | 2020-07-10 | 拉扎斯网络科技（上海）有限公司 | Abnormality detection method, abnormality detection device, electronic apparatus, and storage medium |
| CN111898947A (en) * | 2020-07-21 | 2020-11-06 | 北京京东振世信息技术有限公司 | Method, device, equipment and computer readable medium for monitoring goods distribution task |
| CN111985865A (en) * | 2020-07-01 | 2020-11-24 | 爱创互联网(深圳)有限公司 | Order receiving and distribution management method, management platform and terminal equipment |
| CN112950125A (en) * | 2021-04-02 | 2021-06-11 | 拉扎斯网络科技（上海）有限公司 | Method and device for obtaining safety state data of distributed resources and electronic equipment |
| CN112990519A (en) * | 2019-12-12 | 2021-06-18 | 顺丰科技有限公司 | Goods distribution method and device, computer readable storage medium and computer equipment |
| CN113379497A (en) * | 2021-06-11 | 2021-09-10 | 口碑(上海)信息技术有限公司 | Order regulation and control method and device, computer equipment and computer readable storage medium |
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| CN108694633B (en) * | 2017-04-06 | 2021-09-03 | 北京京东尚科信息技术有限公司 | Order abnormity detection and processing method, device, electronic equipment and readable storage medium |
| CN108694633A (en) * | 2017-04-06 | 2018-10-23 | 北京京东尚科信息技术有限公司 | Order abnormality detection and facture, device, electronic equipment and readable storage medium storing program for executing |
| CN107707376B (en) * | 2017-06-09 | 2018-08-03 | 贵州白山云科技有限公司 | A kind of method and system of monitoring and alarm |
| CN107707376A (en) * | 2017-06-09 | 2018-02-16 | 贵州白山云科技有限公司 | A kind of method and system for monitoring and alerting |
| CN108537485A (en) * | 2018-04-11 | 2018-09-14 | 圆通速递有限公司 | A kind of processing method and system of express mail delay |
| CN108537485B (en) * | 2018-04-11 | 2022-03-22 | 圆通速递有限公司 | Express mail delay processing method and system |
| CN109615312A (en) * | 2018-10-23 | 2019-04-12 | 平安科技（深圳）有限公司 | Business abnormal investigation method, apparatus, electronic equipment and storage medium in execution |
| CN110134571A (en) * | 2019-05-22 | 2019-08-16 | 湃方科技(北京)有限责任公司 | Rotary-type mechanical equipment health status monitoring method and device |
| CN110134571B (en) * | 2019-05-22 | 2023-05-02 | 湃方科技(北京)有限责任公司 | Method and device for monitoring health state of rotary mechanical equipment |
| CN110503477A (en) * | 2019-08-26 | 2019-11-26 | 上海携程国际旅行社有限公司 | Analysis method, system, equipment and the storage medium of the gross profit abnormal cause of order |
| CN110503477B (en) * | 2019-08-26 | 2024-04-05 | 上海携程国际旅行社有限公司 | Zxfoom zxfoom Muli (Maoli) abnormality of a system(s) apparatus and storage medium |
| CN112990519A (en) * | 2019-12-12 | 2021-06-18 | 顺丰科技有限公司 | Goods distribution method and device, computer readable storage medium and computer equipment |
| CN111401707A (en) * | 2020-03-06 | 2020-07-10 | 拉扎斯网络科技（上海）有限公司 | Abnormality detection method, abnormality detection device, electronic apparatus, and storage medium |
| CN111985865A (en) * | 2020-07-01 | 2020-11-24 | 爱创互联网(深圳)有限公司 | Order receiving and distribution management method, management platform and terminal equipment |
| CN111898947A (en) * | 2020-07-21 | 2020-11-06 | 北京京东振世信息技术有限公司 | Method, device, equipment and computer readable medium for monitoring goods distribution task |
| CN112950125A (en) * | 2021-04-02 | 2021-06-11 | 拉扎斯网络科技（上海）有限公司 | Method and device for obtaining safety state data of distributed resources and electronic equipment |
| CN112950125B (en) * | 2021-04-02 | 2023-04-25 | 拉扎斯网络科技（上海）有限公司 | Method and device for obtaining distribution resource safety state data and electronic equipment |
| CN113379497A (en) * | 2021-06-11 | 2021-09-10 | 口碑(上海)信息技术有限公司 | Order regulation and control method and device, computer equipment and computer readable storage medium |
| CN113379497B (en) * | 2021-06-11 | 2023-12-26 | 口碑(上海)信息技术有限公司 | Order regulation method, order regulation device, computer equipment and computer readable storage medium |
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