CN109271369A - A kind of logistics data analysis method and device - Google Patents
A kind of logistics data analysis method and device Download PDFInfo
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- CN109271369A CN109271369A CN201811277968.3A CN201811277968A CN109271369A CN 109271369 A CN109271369 A CN 109271369A CN 201811277968 A CN201811277968 A CN 201811277968A CN 109271369 A CN109271369 A CN 109271369A
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Abstract
The application provides a kind of logistics data analysis method and device, this method comprises: the object entry that the client for receiving Logistics Park issues generates instruction, obtains the corresponding data of a variety of specific fields from data source, and the data based on acquisition generate multiple object entries；It establishes incidence relation respectively between different object entries, and the object entry is stored into item library；Receive the object entry inquiry instruction that the client issues, data based at least one of object entry analysis instruction specific field search corresponding object entry in the item library, and determine that there are the object entries of incidence relation with the object entry；Based on the processing logic in the object entry analysis instruction, to the object entry found and with the object entry, there are the object entries of incidence relation to handle.The application is stored by data of the unified data format to types of objects in logistics activity, to improve the analysis efficiency of logistics data.
Description
Technical field
This application involves logistics monitoring field, in particular to a kind of logistics data analysis method and device.
Background technique
Logistics management can plan logistics activity, organized, commanded, coordinated, controlled and be supervised, so that every logistics is living
It is dynamic to cooperate, to reduce logistics cost, improve logistic efficiency.The objects such as people, vehicle, goods, field are often related in logistics activity, it is right
It is to realize the effective means of logistics management that the data of above-mentioned object, which carry out analysis,.
In the related art, the data of types of objects are often scattered in each system in logistics activity, for example, the data of people
It is dispersed in customer relation management (Customer Relationship Management, CRM) system and order management system
(Order Management System, OMS), the data of vehicle are in the parking system of Logistics Park, and the data of goods are in warehouse
In management system (Warehouse Management System, WMS), the property pipe of the data in field (warehouse) in Logistics Park
In reason system.
However, the data structure for being scattered in the data of each system is different, and between the data of the different objects in each system
Lack incidence relation, therefore generally require the data needed using many kinds of measures selection when analyte stream data, leads to logistics number
According to the inefficiency of analysis.
Summary of the invention
In view of this, the application provides a kind of logistics data analysis method, for being stored not by unified data structure
Administrative relationships are established with the data of object, and for the data of different objects, to improve the analysis efficiency of logistics data.
Specifically, the application is achieved by the following technical solution:
A kind of logistics data analysis method, comprising:
The object entry generation instruction that the client of Logistics Park issues is received, obtains a variety of specific fields pair from data source
The data answered, and the data based on acquisition generate multiple object entries；
It establishes incidence relation respectively between different object entries, and the object entry is stored into item library；
The object entry inquiry instruction that the client issues is received, based at least one in the object entry analysis instruction
The data for planting specific field search corresponding object entry in the item library, and determination is associated with object entry presence
The object entry of relationship；
Based on the processing logic in the object entry analysis instruction, to the object entry found and with it is described right
As there are the object entries of incidence relation to be handled for entry.
In the logistics data analysis method, the object entry generation that the client for receiving Logistics Park issues refers to
It enables, obtains the corresponding data of a variety of specific fields from data source, comprising:
It receives the object entry and generates instruction, it is default to generate the location of incident lookup in instruction based on the object entry
Data source library, determine associated with location of incident data source；Wherein, the data source library record location of incident and phase
The mapping relations of associated data source；
Data acquisition instructions are sent to the data source, include a variety of designated words in object entry in the data acquisition instructions
Section, to return to the data for corresponding to each specific field by the data source.
In the logistics data analysis method, the data based on acquisition generate multiple object entries, comprising:
The data that source returns based on the data generate multiple object entries, and the data for corresponding to each specific field are filled out
Enter into each object entry.
In the logistics data analysis method, instruction is generated in response to the object entry and the object entry packet of generation
Include a variety of specified types；
The method also includes:
It stores by the object entry to before the item library, the object entry is output to and issues the object
Entry generates the client of instruction, to determine the specified type of the object entry of addition triggered mark by the client；
For the object entry addition triggered mark for the specified type that the client determines.
Generation time and main body in the logistics data analysis method, in the object entry comprising the object entry
Mark；
The method also includes:
If the data based on acquisition can not generate the object entry of any specified type, based on being added to triggered mark
Item library described in the main body identifier lookup of object entry determines and generates the time immediate object item for carrying main body mark
Mesh；
Based on the incidence relation between object entry, search associated above-mentioned with the object entry for carrying main body mark
The object entry of specified type；
The object entry found is replicated, and is built respectively between the object entry of duplication and this object entry generated
Vertical incidence relation.
A kind of logistics data analytical equipment, comprising:
Generation unit, the object entry that the client for receiving Logistics Park issues generate instruction, obtain from data source
The corresponding data of a variety of specific fields, and the data based on acquisition generate multiple object entries；
Associative cell is deposited for establishing incidence relation respectively between different object entries, and by the object entry
Storage is into item library；
Searching unit, the object entry inquiry instruction issued for receiving the client are analyzed based on the object entry
The data of at least one of instruction specific field search corresponding object entry in the item library, and it is determining with it is described right
As there are the object entries of incidence relation for entry；
Analytical unit, for based on the processing logic in the object entry analysis instruction, to the object found
Entry and there are the object entries of incidence relation to be handled with the object entry.
In the logistics data analytical equipment, the generation unit is further used for:
It receives the object entry and generates instruction, it is default to generate the location of incident lookup in instruction based on the object entry
Data source library, determine associated with location of incident data source；Wherein, the data source library record location of incident and phase
The mapping relations of associated data source；
Data acquisition instructions are sent to the data source, include a variety of designated words in object entry in the data acquisition instructions
Section, to return to the data for corresponding to each specific field by the data source.
In the logistics data analytical equipment, the generation unit is further used for:
The data that source returns based on the data generate multiple object entries, and the data for corresponding to each specific field are filled out
Enter into each object entry.
In the logistics data analytical equipment, instruction is generated in response to the object entry and the object entry packet of generation
Include a variety of specified types；
Described device further include:
Output unit exports the object entry for storing by the object entry to before the item library
The client instructed is generated to the object entry is issued, to determine the finger of the object entry of addition triggered mark by the client
Determine type；
The object entry of adding unit, the specified type for determining for the client adds triggered mark.
Generation time and main body in the logistics data analytical equipment, in the object entry comprising the object entry
Mark；
Described device further include:
The searching unit, if the object item of any specified type can not be generated by being further used for the data based on acquisition
Mesh, item library described in the main body identifier lookup based on the object entry for being added to triggered mark determine that generate the time immediate
Carry the object entry of main body mark；Based on the incidence relation between object entry, pair with carrying main body mark is searched
As the object entry of the associated above-mentioned specified type of entry；
The associative cell is further used for the object entry that duplication is found, and is the object entry of duplication and this
Incidence relation is established respectively between the object entry of generation.
In conclusion server receives the object entry that the client of Logistics Park issues in technical scheme
After generating instruction, the corresponding data of a variety of specific fields are obtained from data source, and the data based on acquisition generate multiple object items
Mesh；Further, it establishes incidence relation respectively between different object entries, and above-mentioned object entry is stored to item library
In；When server receives the object entry analysis analysis that client issues, can based in the object entry analysis instruction extremely
A kind of data of few specific field search corresponding object entry in above-mentioned item library, and determining and above-mentioned object entry exists
The object entry of incidence relation, the processing logic being then based in above-mentioned object entry analysis instruction carry out above-mentioned object entry
Processing；
Since the application is stored by data of the unified data format to types of objects in logistics activity, and to be subordinate to
The object entry for belonging to the object of same critical event establishes incidence relation so that it is subsequent can fast and effeciently get it is required
Logistics data, to improve the analysis efficiency of logistics data.
Detailed description of the invention
Fig. 1 is a kind of critical event schematic diagram of Logistics Park shown in the application；
Fig. 2 is a kind of schematic diagram of object entry shown in the application；
Fig. 3 is a kind of flow chart of logistics data analysis method shown in the application；
Fig. 4 is a kind of form schematic diagram of object entry shown in the application；
Fig. 5 is a kind of embodiment block diagram of logistics data analytical equipment shown in the application；
Fig. 6 is a kind of hardware structure diagram of logistics data analytical equipment shown in the application.
Specific embodiment
Technical solution in embodiment in order to enable those skilled in the art to better understand the present invention, and make of the invention real
The above objects, features, and advantages for applying example can be more obvious and easy to understand, with reference to the accompanying drawing to prior art and the present invention
Technical solution in embodiment is described in further detail.
In logistics activity, each critical process can regard an event as.It is one shown in the application referring to Fig. 1
The critical event schematic diagram of kind Logistics Park, as shown in Figure 1, critical event may include " vehicle enters warehouse ", " unloading ", " life
At landing order ", " goods warehousing ", " cargo outbound ", " vehicle load ", " generate waybill " and " vehicle goes out warehouse " etc., certainly, reality
It may also include other critical events in the logistics activity of border, do not enumerate one by one herein.Above-mentioned critical event can be anti-in logistics activity
It is multiple to carry out, in this application, object entry can be generated when each critical event occurs, for recording object involved in event
Data, in order to subsequent logistics data analysis.
It referring to fig. 2, is a kind of schematic diagram of object entry shown in the application, as shown in Fig. 2, raw for a critical event
At object entry can correspond to people, vehicle, goods, four class object of field, and the object entry of a corresponding class object at least one, this can
Guarantee basic data structure, is conducive to carry out logistics data analysis to event.
It is a kind of flow chart of logistics data analysis method shown in the application, this method includes following step referring to Fig. 3
It is rapid:
Step 301: receiving the object entry generation instruction that the client of Logistics Park issues, obtain a variety of fingers from data source
Determine the corresponding data of field, and the data based on acquisition generate multiple object entries.
Wherein, the above method can be applied to the server of Logistics Park management system, the server and each Logistics Park
Client docking, to can receive the instruction that client issues and execute corresponding operation.
Above-mentioned client refers to the terminal device that can be sent instructions under the Logistics Park management system on server, can be with
Including electronic equipments such as smart phone, computer, tablet computers.
Above-mentioned data source may include carry common data management system (such as: CRM system, order pipe
Reason system, parking system and warehouse management system etc.) server and Logistics Park monitoring device (such as: camera and
Sensor) etc..
The staff at Logistics Park scene can pass through user end to server when the critical event of logistics activity occurs
Sending object entry generates instruction.Wherein, above-mentioned object entry, which generates instruction, can carry location of incident.
Server receives above-mentioned object entry production ordering, it may be determined that critical event currently occurs, need to acquire and store
Logistics data relevant to the critical event.
In this application, the data of types of objects relevant to critical event are managed in a unified format, so that
It can be easy to obtain the data needed when subsequent analysis logistics data, improve analysis efficiency.Referring to fig. 4, show for the application
The form schematic diagram of a kind of object entry out, as shown in figure 4, the specified format of each object entry includes " object entry mark
Knowledge ", " main body mark ", " triggered mark ", " history entries label ", " generating the time ", " location of incident ", " is closed at " object type "
Bracing target is known " and other extension information.
Wherein, it is the globally unique identifier that the object entry generates that object entry, which is identified as server, can be by imputing in advance
Method generates at random；As one embodiment, object entry mark can consist of two parts, and it is current that a part, which is server,
The event identifier that critical event generates, another part are that server is the mark that the object entry generates, in such an embodiment,
Can critical event belonging to the object entry directly be known from object entry mark.
Object type is the type of object involved in logistics activity, in this application, including people, vehicle, goods, four type of field
Type.In practical applications, four seed types can be respectively indicated by four kinds of characters, for example, 0 expression people, 1 expression vehicle, 2 expression goods, 3
Indicate field.
Main body is identified as the principal name or identity of object indicated by object entry, for example, the object entry of people
In main body mark can be the main body mark in the object entry of name or identification card number, vehicle and can be pair of license plate number, goods
As in entry main body mark can be article No., field object entry in main body mark can be warehouse number.
Triggered mark characterizes the critical event of objects trigger indicated by the object entry；It is generated for a critical event
In object entry, the corresponding object entry of only a kind of object can be added triggered mark.For example, " vehicle enters warehouse " event by
Vehicle triggering, therefore triggered mark can be added in the object entry of vehicle.In practical application, the object of all kinds of events is triggered not
It determines, the object entry that need to add triggered mark can be determined by the staff at Logistics Park scene.
History entries label characterize the object entry thus previous existence at object entry replicate to obtain；For a critical event
In the object entry of generation, the object entry of a certain class object may be lacked.It in this case, is guarantee and the key thing
The corresponding object entry of part indicates complete four kinds of objects, can from this previous existence at object entry in duplication missing object object
Entry.Specific associated description as detailed below.
The generation time refers to that server generates the time of object entry.It is under the jurisdiction of the object entry of same critical event
Generating the time should be equal.
Location of incident refers to occurring the place of material time.It is under the jurisdiction of the event of the object entry of same critical event
Point should be equal.
What is be written in associated entry mark is other object entries that a critical event is belonged to the object entry
Object entry mark.
Other extension information are for being written other contents, for realizing other function on the basis of technical scheme
Can, specifically it is not construed as limiting.
For the data for acquiring object involved in above-mentioned critical event, in a kind of embodiment shown, server is first
The location of incident that can be first generated in instruction based on the object entry that above-mentioned client issues searches preset data source library.
Wherein, the mapping relations of above-mentioned data source library record location of incident and associated data source, for example, if event
Point is the doorway in warehouse 1, then associated data source can be the monitoring device that can be monitored to the doorway in warehouse 1；This
Outside, the server for carrying common data management system can be used as the associated data source in any place.
Above-mentioned server can determine data source associated with above-mentioned location of incident based on lookup result, further,
Data acquisition instructions are sent to above-mentioned data source, include each specific field in object entry in the data acquisition instructions.Each data
After source receives above-mentioned data acquisition instructions, the data corresponding to each specific field can be returned.
For example, server can be sent to each data source includes by taking the form schematic diagram of the object entry shown in Fig. 4 as an example
The data acquisition instructions of the specific fields such as main body mark, object type.
In the application, different video sources can provide the data of different objects.
If data source is monitoring device, after which receives the data acquisition instructions, video can be acquired
Image, and the license plate number of vehicle is determined by image recognition technology from collected video image, and by above-mentioned license plate number and
The object type of vehicle is sent to above-mentioned server.
If data source is the server for carrying warehouse management system, after which receives the data acquisition instructions,
Above-mentioned server just currently can will be sent in the article No. of the cargo of outbound and the object type of cargo.
Further, the data that above-mentioned server can be returned based on above-mentioned data source generate multiple object entries, and will
Data corresponding to each specific field are inserted into each object entry.
Specifically, the data that above-mentioned server can be returned based on each data source generate multiple object entries, and to generation
Object entry in insert necessary data.
Such as: by taking the form schematic diagram shown in Fig. 4 as an example, if data source returns to the identification card number of people and the object class of people
The object entry of people then can be generated in type, generates object entry mark for the object entry, generates the time, then by above-mentioned number
It is inserted in the object entry in corresponding specific field according to the location of incident in instruction is generated with above-mentioned object entry.
Then, above-mentioned server can insert the data that above-mentioned data source returns in object entry.
Such as: still by taking the form schematic diagram shown in Fig. 4 as an example, if data source returns to the identification card number of people and the object class of people
Type, server, can be by the identification card numbers of data source return after generating the object entry of people and inserting necessary data thereto
It inserts with object type to above-mentioned object entry, further supplements the data in the object entry.
Step 302: establishing incidence relation respectively between different object entries, and the object entry is stored to item
In mesh library.
It may be base by the data of a class object when the subsequent progress logistics data analysis for any critical event
Plinth, and then analyze the data of the object of other classifications.To make subsequent logistics data analysis that can more easily be based on any object
Entry obtains the other object entries for being subordinate to same critical event, can establish association respectively between different object entries and close
System.
It, can be to object by taking the form schematic diagram of the object entry shown in Fig. 4 as an example in a kind of embodiment shown
Filling is under the jurisdiction of the object entry mark of other object entries of same critical event in " associated entry mark " field of entry
To establish incidence relation.
Such as: four object entries are generated for " vehicle enters warehouse " event, the object entry of each object entry identifies difference
Be 0100001,0100002,0100003,0100004, then can object entry be identified as 0100001 object entry association
0100002,0100003 and 0100004 is inserted in entry mark；The pass of 0100002 object entry is identified as in object entry
Bracing target inserts 0100001,0100003 and 0100004 in knowing；And so on.
It is, of course, also possible to the incidence relation between object entry be established otherwise, for example, pass through incidence relation
Table record is under the jurisdiction of the object entry mark of the object entry of same critical event, thus to be under the jurisdiction of each of same critical event
Object entry establishes incidence relation.Details are not described herein by the application.
Further, server can store each object entry that incidence relation has been established into item library, so as to subsequent
Lookup and analysis to logistics data.
In a kind of embodiment shown, in order to determine that the object of triggering critical event, server are raw for critical event
After object entry at a variety of specified types, store by above-mentioned object entry to before item library, it can also be by above-mentioned object
Entry, which is output to, issues the client that above-mentioned object entry generates instruction.Above-mentioned client can be by above-mentioned object entry in user circle
Face output, the object entry that need to add triggered mark is determined with the staff by Logistics Park scene.
Further, above-mentioned client can send the specified class that need to add the object entry of triggered mark to server
Type.After above-mentioned server receives above-mentioned specified type, for the object entry addition triggering mark for the specified type that the client determines
Note.
In this application, the data that server is obtained from data source possibly can not generate pair corresponding to all specified types
As entry, and it can be only generated the object entry corresponding to part specified type.
Such as: server only from data source obtain people, vehicle, field data, without obtain goods data, at this point, service
Device can be only generated corresponding to people, vehicle, field object entry.
Since object relevant to critical event includes a variety of specified classifications, appoint if the data based on acquisition can not generate
The object entry of one specified type, then can be based on the above-mentioned entry of main body identifier lookup for the object entry for being added to triggered mark
Library determines and generates the time immediate object entry for carrying main body mark.
Such as: if server can be only generated corresponding to people, vehicle, field object entry, and specified type be goods object item
Mesh can not generate, at this point, the main body mark of object entry corresponding to people of the server based on this addition triggered mark generated
Know and searches item library.Server can be searched to obtain the object entry for corresponding to aforementioned body mark, then from above-mentioned object entry
Middle selection generates the time closest to the object entry of current time.
The indicated object of the object entry that server determines, the as main body mark generates in upper primary critical event
Object entry.Further, server can be searched based on the incidence relation between object entry and be carried main body mark
The associated above-mentioned specified type of object entry object entry.
Such as: if server can be only generated corresponding to people, vehicle, field object entry, and specified type be goods object item
Mesh can not generate, the main body identifier lookup of object entry corresponding to people of the server based on this addition triggered mark generated
Item library, so that the object entry for carrying main body mark of last generation is found, it is possible to further be based on the object
Associated entry mark in entry, determines associated other object entries, then therefrom selects specified type for the object of goods
Entry.
Server can replicate the object entry found, and be the object entry of duplication and this object entry generated
Between establish incidence relation respectively.
Certainly, after the object entry that server replicates are found, the data in object entry for also needing modification to replicate, with area
Divide the object entry and original object entry of duplication.By taking the form schematic diagram shown in Fig. 4 as an example, server replicates object entry
Shi Shiji only replicates the data of " object type " and " main body mark " two fields, and " object entry mark " need to regenerate,
" generating the time " and " location of incident " can be replicated from the object entry generated for this critical event and be obtained；In addition, also need for
The object entry of duplication adds " history entries label ", shows that the object entry obtains for duplication.
It and is that the method for establishing incidence relation between the object entry of duplication and this object entry generated respectively can join
According to above-disclosed content, details are not described herein.
Step 303: the object entry analysis instruction that the client issues is received, based in the object entry analysis instruction
The data of at least one specific field search corresponding object entry in the item library, and it is determining with the object entry
There are the object entries of incidence relation.
In logistics data analysis, object entry analysis instruction can be issued to above-mentioned server by client, to obtain
Take required logistics data.Wherein, above-mentioned object entry analysis instruction includes at least one specific field and above-mentioned specific field
Corresponding data.
After above-mentioned server receives above-mentioned object entry analysis instruction, determine involved by above-mentioned object entry analysis instruction
Specific field.Further, above-mentioned server is based on specific field and corresponding involved in the object entry analysis instruction
Data search matched object entry in above-mentioned item library.
Such as: still by taking the form schematic diagram shown in Fig. 4 as an example, if the object entry analysis instruction that client issues includes
The data of " main body mark " field and the field are " Soviet Union E0**V9 ", then server can search " main body in above-mentioned item library
The data of mark " field are the object entry of " Soviet Union E0**V9 ".
It is finding with after the above-mentioned matched object entry of object entry analysis instruction, can also search and above-mentioned object item
Mesh is under the jurisdiction of other object entries of same critical event, and therefore, above-mentioned server can be based on having been established between object entry
Incidence relation, determine there are the object entries of incidence relation with above-mentioned object entry.
Step 304: based on the processing logic in the object entry analysis instruction, to the object entry found and
There are the object entries of incidence relation to be handled with the object entry.
Wherein, above-mentioned processing logic may include the visitor exported object entry to above-mentioned object entry analysis instruction is sent
Family end, be also possible to other data process methods (such as: statistics be under the jurisdiction of same critical event types of objects quantity),
It does not enumerate one by one herein.
In conclusion server receives the object entry that the client of Logistics Park issues in technical scheme
After generating instruction, the corresponding data of a variety of specific fields are obtained from data source, and the data based on acquisition generate multiple object items
Mesh；Further, it establishes incidence relation respectively between different object entries, and above-mentioned object entry is stored to item library
In；When server receives the object entry analysis analysis that client issues, can based in the object entry analysis instruction extremely
A kind of data of few specific field search corresponding object entry in above-mentioned item library, and determining and above-mentioned object entry exists
The object entry of incidence relation, the processing logic being then based in above-mentioned object entry analysis instruction carry out above-mentioned object entry
Processing；
Since the application is stored by data of the unified data format to types of objects in logistics activity, and to be subordinate to
The object entry for belonging to the object of same critical event establishes incidence relation so that it is subsequent can fast and effeciently get it is required
Logistics data, to improve the analysis efficiency of logistics data.
Corresponding with the embodiment of aforesaid streams data analysing method, present invention also provides logistics data analytical equipments
Embodiment.
It is a kind of embodiment block diagram of logistics data analytical equipment shown in the application referring to Fig. 5；
As shown in figure 5, the logistics data analytical equipment 50 includes:
Generation unit 510, the object entry that the client for receiving Logistics Park issues generate instruction, obtain from data source
The corresponding data of a variety of specific fields are taken, and the data based on acquisition generate multiple object entries.
Associative cell 520, for establishing incidence relation respectively between different object entries, and by the object entry
It stores into item library.
Searching unit 530, the object entry inquiry instruction issued for receiving the client, based on the object entry point
The data of at least one of analysis instruction specific field search corresponding object entry in the item library, and it is determining with it is described
There are the object entries of incidence relation for object entry.
Analytical unit 540, it is described right to what is found for based on the processing logic in the object entry analysis instruction
As entry and with the object entry, there are the object entries of incidence relation to be handled.
In this example, the generation unit 510, is further used for:
It receives the object entry and generates instruction, it is default to generate the location of incident lookup in instruction based on the object entry
Data source library, determine associated with location of incident data source；Wherein, the data source library record location of incident and phase
The mapping relations of associated data source；
Data acquisition instructions are sent to the data source, include a variety of designated words in object entry in the data acquisition instructions
Section, to return to the data for corresponding to each specific field by the data source.
In this example, the generation unit 510, is further used for:
The data that source returns based on the data generate multiple object entries, and the data for corresponding to each specific field are filled out
Enter into each object entry.
In this example, the object entry for generating instruction in response to the object entry and generating includes a variety of specified types；
Described device further include:
550 (not shown) of output unit, for storing by the object entry to before the item library, by institute
It states object entry and is output to the client for issuing the object entry generation instruction, to determine addition triggered mark by the client
Object entry specified type.
The object entry of 560 (not shown) of adding unit, the specified type for determining for the client adds touching
Issue of bidding documents note.
In this example, the generation time in the object entry comprising the object entry and main body mark；
Described device further include:
The searching unit 530, if pair of any specified type can not be generated by being further used for the data based on acquisition
As entry, item library described in the main body identifier lookup based on the object entry for being added to triggered mark determines that generating the time most connects
The close object entry for carrying main body mark；Based on the incidence relation between object entry, searches and carry main body mark
The associated above-mentioned specified type of object entry object entry.
The associative cell 520 is further used for the object entry that duplication is found, and is the object entry of duplication and this
Incidence relation is established respectively between the object entry of secondary generation.
The embodiment of the application logistics data analytical equipment can be using on the server.Installation practice can be by soft
Part is realized, can also be realized by way of hardware or software and hardware combining.Taking software implementation as an example, as a logical meaning
On device, be to be read computer program instructions corresponding in nonvolatile memory by the processor of server where it
Into memory, operation is formed.For hardware view, as shown in fig. 6, the service where the application logistics data analytical equipment
A kind of hardware structure diagram of device, other than processor shown in fig. 6, memory, network interface and nonvolatile memory,
Logistics data analytical equipment in embodiment where device can also include that other are hard generally according to the actual functional capability of the server
Part repeats no more this.
The function of each unit and the realization process of effect are specifically detailed in the above method and correspond to step in above-mentioned apparatus
Realization process, details are not described herein.
For device embodiment, since it corresponds essentially to embodiment of the method, so related place is referring to method reality
Apply the part explanation of example.The apparatus embodiments described above are merely exemplary, wherein described be used as separation unit
The unit of explanation may or may not be physically separated, and component shown as a unit can be or can also be with
It is not physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to actual
The purpose for needing to select some or all of the modules therein to realize application scheme.Those of ordinary skill in the art are not paying
Out in the case where creative work, it can understand and implement.
The foregoing is merely the preferred embodiments of the application, not to limit the application, all essences in the application
Within mind and principle, any modification, equivalent substitution, improvement and etc. done be should be included within the scope of the application protection.
Claims (10)
1. a kind of logistics data analysis method characterized by comprising
The object entry generation instruction that the client of Logistics Park issues is received, it is corresponding to obtain a variety of specific fields from data source
Data, and the data based on acquisition generate multiple object entries；
It establishes incidence relation respectively between different object entries, and the object entry is stored into item library；
The object entry inquiry instruction that the client issues is received, is referred to based at least one of the object entry analysis instruction
The data for determining field search corresponding object entry in the item library, and determine that there are incidence relations with the object entry
Object entry；
Based on the processing logic in the object entry analysis instruction, to the object entry found and with the object item
There are the object entries of incidence relation to be handled for mesh.
2. the method according to claim 1, wherein the object item that the client for receiving Logistics Park issues
Mesh generates instruction, obtains the corresponding data of a variety of specific fields from data source, comprising:
It receives the object entry and generates instruction, the location of incident in instruction is generated based on the object entry and searches preset number
According to source library, data source associated with the location of incident is determined；Wherein, data source library record location of incident with it is associated
Data source mapping relations；
Data acquisition instructions are sent to the data source, include a variety of specific fields in object entry in the data acquisition instructions,
To return to the data for corresponding to each specific field by the data source.
3. according to the method described in claim 2, it is characterized in that, the data based on acquisition generate multiple object entries,
Include:
The data that source returns based on the data generate multiple object entries, and by the data for corresponding to each specific field insert to
In each object entry.
4. the method according to claim 1, wherein pair for generating instruction in response to the object entry and generating
As entry includes a variety of specified types；
The method also includes:
It stores by the object entry to before the item library, the object entry is output to and issues the object entry
The client of instruction is generated, to determine the specified type of the object entry of addition triggered mark by the client；
For the object entry addition triggered mark for the specified type that the client determines.
5. according to the method described in claim 4, it is characterized in that, when in the object entry including the generation of the object entry
Between and main body mark；
The method also includes:
If the data based on acquisition can not generate the object entry of any specified type, based on the object for being added to triggered mark
Item library described in the main body identifier lookup of entry determines and generates the time immediate object entry for carrying main body mark；
Based on the incidence relation between object entry, search associated with the object entry for carrying main body mark above-mentioned specified
The object entry of type；
The object entry found is replicated, and establishes and closes respectively between the object entry of duplication and this object entry generated
Connection relationship.
6. a kind of logistics data analytical equipment characterized by comprising
Generation unit, the object entry that the client for receiving Logistics Park issues generate instruction, obtain from data source a variety of
The corresponding data of specific field, and the data based on acquisition generate multiple object entries；
Associative cell, for establishing incidence relation respectively between different object entries, and by the object entry store to
In item library；
Searching unit, the object entry inquiry instruction issued for receiving the client are based on the object entry analysis instruction
At least one of the data of specific field search corresponding object entry in the item library, and it is determining with the object item
There are the object entries of incidence relation for mesh；
Analytical unit, for based on the processing logic in the object entry analysis instruction, to the object entry found
With there are the object entries of incidence relation to be handled with the object entry.
7. device according to claim 6, which is characterized in that the generation unit is further used for:
It receives the object entry and generates instruction, the location of incident in instruction is generated based on the object entry and searches preset number
According to source library, data source associated with the location of incident is determined；Wherein, data source library record location of incident with it is associated
Data source mapping relations；
Data acquisition instructions are sent to the data source, include a variety of specific fields in object entry in the data acquisition instructions,
To return to the data for corresponding to each specific field by the data source.
8. device according to claim 7, which is characterized in that the generation unit is further used for:
The data that source returns based on the data generate multiple object entries, and by the data for corresponding to each specific field insert to
In each object entry.
9. device according to claim 6, which is characterized in that generate instruction in response to the object entry and pair of generation
As entry includes a variety of specified types；
Described device further include:
The object entry is output to down by output unit for storing by the object entry to before the item library
Send out object entry described and generate the client of instruction, to determine the specified class for adding the object entry of triggered mark by the client
Type；
The object entry of adding unit, the specified type for determining for the client adds triggered mark.
10. device according to claim 9, which is characterized in that include the generation of the object entry in the object entry
Time and main body mark；
Described device further include:
The searching unit, if the object entry of any specified type can not be generated by being further used for the data based on acquisition,
Item library described in main body identifier lookup based on the object entry for being added to triggered mark determines and generates time immediate carrying
The object entry of main body mark；Based on the incidence relation between object entry, the object item with carrying main body mark is searched
The object entry of the associated above-mentioned specified type of mesh；
The associative cell is further used for the object entry that duplication is found, and is the object entry of duplication and this generation
Object entry between establish incidence relation respectively.
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| CN201811277968.3A CN109271369B (en) | 2018-10-30 | 2018-10-30 | Logistics data analysis method and device |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1790397A (en) * | 2005-12-28 | 2006-06-21 | 浙江工业大学 | Third party logistics data processing method based on online analysis |
| CN105930928A (en) * | 2016-04-20 | 2016-09-07 | 青岛慧畅信息科技有限公司 | Parallel logistics information system based on ACP and construction method thereof |
| CN106156972A (en) * | 2015-04-21 | 2016-11-23 | 阿里巴巴集团控股有限公司 | Logistics service information providing method and device |
| CN108335075A (en) * | 2018-03-02 | 2018-07-27 | 华南理工大学 | A kind of processing system and method for Logistics Oriented big data |
-
2018
- 2018-10-30 CN CN201811277968.3A patent/CN109271369B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1790397A (en) * | 2005-12-28 | 2006-06-21 | 浙江工业大学 | Third party logistics data processing method based on online analysis |
| CN106156972A (en) * | 2015-04-21 | 2016-11-23 | 阿里巴巴集团控股有限公司 | Logistics service information providing method and device |
| CN105930928A (en) * | 2016-04-20 | 2016-09-07 | 青岛慧畅信息科技有限公司 | Parallel logistics information system based on ACP and construction method thereof |
| CN108335075A (en) * | 2018-03-02 | 2018-07-27 | 华南理工大学 | A kind of processing system and method for Logistics Oriented big data |
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