CN113435812A - Order full-link track generation method, device, equipment and storage medium - Google Patents
Order full-link track generation method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention relates to the field of logistics monitoring, and discloses an order full-link track generation method, a device, equipment and a storage medium.
Description
Technical Field
The invention relates to the field of logistics monitoring, in particular to a method, a device, equipment and a storage medium for generating an order full-link track.
Background
With the rise of internet and electronic commerce, especially the scope of electronic commerce reaches our lives, works, study and consumption, etc., its services and management also involve many aspects such as government, industry and business, finance and users.
In the electronic commerce, express is taken as a relatively important part, the express service level of the present express industry is uneven, and the overall service level is still low. The operation progress between client or trade company platform and the warehouse can inquire each other in present whole flow service system, operation between warehouse and the express delivery can inquire each other, it is visible that any party can only inquire on two nodes, can't inquire the operation progress between the three-party, and there is the damage in the distribution process, there is not industry standard on the problem that the piece was lost frequently, it is opaque also to have some storage operation progress simultaneously, it has further caused and has linked up the fault with the commodity circulation, lead to the problem piece, the commodity circulation inefficiency, can't reach customer's high requirement, also be difficult to realize whole transparent monitoring simultaneously.
Disclosure of Invention
The invention mainly aims to solve the technical problem that all links of warehouse distribution orders cannot be monitored completely due to the fact that warehouse operation is not transparent and express delivery connection faults are caused in the prior art.
The invention provides a first aspect of an order full-link track generation method, which is applied to a supply chain cooperative platform system and comprises the following steps: configuring at least three groups of communication interfaces in the supply chain cooperative platform system; scheduling at least three groups of communication interfaces, and respectively acquiring distribution data of all orders in a preset time period from a client, a warehouse and an express terminal, wherein the distribution data comprises order data, sorting data and delivery data; extracting order numbers and freight order numbers in order data, sorting data and distribution data of each order, and establishing the relevance between the order numbers and the freight order numbers; classifying the order data, the sorting data and the distribution data of all orders according to the relevance to obtain at least one group of express mail data, wherein the group of express mail data comprises at least one order data, at least one sorting data and at least one distribution data; and extracting order state information in each group of express mail data, and generating a full link track based on the order state information.
Optionally, in a first implementation manner of the first aspect of the present invention, the scheduling at least three sets of the communication interfaces, and acquiring allocation data of all orders in a preset time period from a client, a warehouse, and an express delivery end respectively includes: detecting whether a new order is generated in a client; if the number of the new orders exists, counting the number of the new orders, scheduling at least three groups of communication interfaces when the number reaches a threshold value or counting time reaches, establishing communication links among the supply chain collaboration platform system, the client side, the warehouse side and the express delivery side, and recording a first time point when the new orders are detected for the first time and a second time point when the threshold value or counting time is reached for the last new order; and based on the communication link, reading data between the first time point and the second time point from background databases of the client, the warehouse and the express delivery end in sequence according to the new order to generate distribution data.
Optionally, in a second implementation manner of the first aspect of the present invention, the extracting an order number and a transportation order number in each of the order data, the sort data, and the delivery data, and establishing the association between the order number and the transportation order number includes: extracting order numbers in each order data and each sorting data, and extracting freight order numbers in each sorting data and each distribution data; on the basis of the sorting data serving as a matching basis, upwards inquiring order data matched with the sorting data, and downwards inquiring distribution data matched with the sorting data to obtain an inquiry result; and establishing the relevance between the order number and the delivery number in each of the order data, the sorting data and the distribution data based on the query result.
Optionally, in a third implementation manner of the first aspect of the present invention, the querying, based on the sorting data as a matching basis, the order data matching with each sorting data upward and the distribution data matching with each sorting data downward, and obtaining a query result includes: selecting one piece of sorting data from the sorting data as matching data, and acquiring an order number and a waybill number corresponding to the matching data; taking the order number as a first query index, querying order data consistent with the first query index from all order data, and establishing an upward incidence relation between the matching data and the order data; taking the waybill number as a second query index, querying delivery data consistent with the second query index from all the delivery data, and establishing a downward association relation between the matching data and the delivery data; and determining a link diagram between the order number and the freight bill number according to the upward incidence relation and the downward incidence relation to obtain a query result.
Optionally, in a fourth implementation manner of the first aspect of the present invention, the extracting order state information in each group of the express mail data, and generating a full link trajectory based on the order state information includes: extracting order placing identification fields in order data of each group of express mail data; if the order data has the order identification field, selecting the corresponding sorting data downwards according to the order number; extracting order receiving identification fields, picking identification fields and delivery identification fields in the sorting data; when the fact that the delivery identification fields exist in the sorting data is judged, corresponding delivery data are selected downwards according to the waybill number in the sorting data; extracting the distribution operation records of an originating node, a transit node and a tail node in the distribution data; and constructing a state change diagram of the express according to the order placing identification field, the order receiving identification field, the picking identification field, the delivery identification field and the delivery operation record, and generating a full link track based on the state change diagram.
Optionally, in a fifth implementation manner of the first aspect of the present invention, the extracting order state information in each group of the express mail data, and generating a full link trajectory based on the order state information further includes: extracting a first processing flow node from the receiving of the order by the client to the placing of the order to the warehouse, a second processing flow node from the receiving of the order by the warehouse to the delivery by the warehouse, and a third processing flow node from the receiving of the express delivery by the express delivery end to the signing of the user; generating a service structure chart of the order according to the first processing flow node, the second processing flow node and the third processing flow node; and generating a full link track according to the service structure diagram, the order placing identification field, the order receiving identification field, the picking identification field, the delivery identification field and the delivery operation record.
A second aspect of the present invention provides an order full-link trajectory generation device, where the order full-link trajectory generation device includes: the configuration module is used for configuring at least three groups of communication interfaces in the supply chain collaboration platform system; the data reading module is used for scheduling at least three groups of communication interfaces and respectively acquiring distribution data of all orders in a preset time period from a client, a warehouse and an express delivery end, wherein the distribution data comprises order data, sorting data and delivery data; the association module is used for extracting order numbers and freight note numbers in order data, sorting data and distribution data of each order and establishing the association between the order numbers and the freight note numbers; the classification module is used for classifying the order data, the sorting data and the distribution data of all orders according to the relevance to obtain at least one group of express mail data, wherein the group of express mail data comprises at least one order data, at least one sorting data and at least one distribution data; and the track generation module is used for extracting order state information in each group of express mail data and generating a full link track based on the order state information.
Optionally, in a first implementation manner of the second aspect of the present invention, the data reading module is specifically configured to: detecting whether a new order is generated in a client; if the number of the new orders exists, counting the number of the new orders, scheduling at least three groups of communication interfaces when the number reaches a threshold value or counting time reaches, establishing communication links among the supply chain collaboration platform system, the client side, the warehouse side and the express delivery side, and recording a first time point when the new orders are detected for the first time and a second time point when the threshold value or counting time is reached for the last new order; and based on the communication link, reading data between the first time point and the second time point from background databases of the client, the warehouse and the express delivery end in sequence according to the new order to generate distribution data.
Optionally, in a second implementation manner of the second aspect of the present invention, the associating module includes: an identification unit configured to extract order numbers in each of the order data and each of the sort data, and to extract order numbers in each of the sort data and each of the delivery data; the query unit is used for upwards querying order data matched with the sorting data and downwards querying distribution data matched with the sorting data on the basis of matching the sorting data to obtain a query result; and the association unit is used for establishing the association between the order number and the delivery number in each of the order data, the sorting data and the distribution data based on the query result.
Optionally, in a third implementation manner of the second aspect of the present invention, the query unit is specifically configured to: selecting one piece of sorting data from the sorting data as matching data, and acquiring an order number and a waybill number corresponding to the matching data; taking the order number as a first query index, querying order data consistent with the first query index from all order data, and establishing an upward incidence relation between the matching data and the order data; taking the waybill number as a second query index, querying delivery data consistent with the second query index from all the delivery data, and establishing a downward association relation between the matching data and the delivery data; and determining a link diagram between the order number and the freight bill number according to the upward incidence relation and the downward incidence relation to obtain a query result.
Optionally, in a fourth implementation manner of the second aspect of the present invention, the trajectory generating module includes: the first extraction unit is used for extracting order placing identification fields in order data of each group of express mail data; the first selection unit is used for selecting corresponding sorting data downwards according to the order number when the order placing identification field exists in the order data; the second extraction unit is used for extracting the order receiving identification field, the picking identification field and the delivery identification field in the sorting data; the second selection unit is used for selecting corresponding delivery data downwards according to the waybill number in the sorting data when the fact that the delivery identification field exists in the sorting data is judged; a third extraction unit, configured to extract distribution operation records of an originating node, a transit node, and a terminating node in the distribution data; and the construction unit is used for constructing a state change diagram of the express mail according to the order placing identification field, the order receiving identification field, the picking identification field, the delivery identification field and the delivery operation record, and generating a full link track based on the state change diagram.
Optionally, in a fifth implementation manner of the second aspect of the present invention, the track generation module further includes a business structure extraction unit, configured to extract a first processing flow node between when the client receives an order placement and when the client places an order into a warehouse, a second processing flow node between when the warehouse receives an order placement and when the warehouse delivers the order, and a third processing flow node between when the express receives an offer from the warehouse and when the express receives an offer from the user; generating a service structure chart of the order according to the first processing flow node, the second processing flow node and the third processing flow node; and generating a full link track according to the service structure diagram, the order placing identification field, the order receiving identification field, the picking identification field, the delivery identification field and the delivery operation record.
A third aspect of the present invention provides an order full-link trajectory generation device, including: a memory having instructions stored therein and at least one processor, the memory and the at least one processor interconnected by a line; the at least one processor invokes the instructions in the memory to cause the order full link trajectory generation device to perform the steps of the order full link trajectory generation method described above.
A fourth aspect of the present invention provides a computer-readable storage medium having stored thereon instructions which, when executed on a computer, cause the computer to perform the steps of the order full link trajectory generation method described above.
In the technical scheme provided by the invention, three groups of communication interfaces are called to respectively obtain order data, sorting data and delivery data of all orders from a client, a warehouse and an express delivery terminal, order numbers and delivery numbers are extracted based on the order data, the sorting data and the delivery data, the correlation between the order numbers and the delivery numbers is established, the order data, the sorting data and the delivery data of all orders are classified based on the correlation to obtain a plurality of groups of express mail data, and order state information in the express mail data is extracted according to the groups, so that the full link track of the orders is generated. After data in the three ends are associated by the order number and the waybill number, order state information in the three-end data after observation is extracted, so that association of the three-end data is realized, a full link track is obtained, when a damaged or lost piece occurs, nodes with problems can be checked directly through the full link track, meanwhile, real-time monitoring of a single end can be realized based on the full link track, the phenomenon that a connection fault occurs in distribution and the problems cannot be tracked is avoided, the abnormal data can be effectively monitored by supply chain service personnel, service bottlenecks are analyzed, and operation efficiency is improved.
Drawings
FIG. 1 is a schematic diagram of a first embodiment of an order full-link trajectory generation method according to an embodiment of the present invention;
FIG. 2 is a diagram of a second embodiment of an order full link trajectory generation method according to an embodiment of the present invention;
FIG. 3 is a diagram of a third embodiment of an order full-link trajectory generation method according to an embodiment of the present invention;
FIG. 4 is a flow chart illustrating the change of order status according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of an order warehousing service structure in an embodiment of the present invention;
FIG. 6 is a schematic diagram of an embodiment of an order full-link trajectory generation apparatus according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of another embodiment of an order full-link trajectory generation apparatus according to an embodiment of the present invention;
FIG. 8 is a diagram of an embodiment of an order full link trajectory generation device in an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides an order full-link track generation method, an order full-link track generation device, an order full-link track generation equipment and a storage medium. The method can help supply chain business personnel to effectively monitor abnormal data, analyze business bottlenecks and improve operation efficiency.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
For the sake of understanding, the following describes details of an embodiment of the present invention, and with reference to fig. 1, a first embodiment of an order full link trajectory generation method according to an embodiment of the present invention includes:
101, configuring at least three groups of communication interfaces in a supply chain cooperative platform system;
in this step, the supply chain cooperative platform system is a supply chain monitoring platform developed based on the realization of full link monitoring, and the platform can be understood as an application program, and the application program realizes communication link with the client, the warehouse end and the express delivery end, and reads data from the data background of the three ends at regular time or in real time.
In practical application, the platform realizes the building of communication links of the three terminals by performing communication protocol handshaking with the three terminals in advance, specifically, the communication protocol handshaking is realized through an API (application programming interface) interface, so that communication interfaces connected with the three terminals are configured on the platform, and each group of communication interfaces comprises an API interface connected with a client, an API interface connected with a warehouse terminal and an API interface connected with an express terminal.
102, scheduling at least three groups of communication interfaces, and respectively acquiring distribution data of all orders in a preset time period from a client, a warehouse and an express terminal, wherein the distribution data comprises order data, sorting data and delivery data;
in this embodiment, after receiving a trigger request requiring order monitoring, the platform sequentially obtains allocation data from the client, the warehouse, and the express delivery end through the scheduling communication interface, where in practical application, the allocation data may be data within a time period, and the preset time period may be understood as M unit times extending backwards from the monitoring to the time point when a new order is generated in the client.
In this step, when reading data, the three groups of interfaces may be controlled to read simultaneously, or corresponding new interfaces may be scheduled sequentially to read, and the operation and control are selected specifically according to the hardware setting of the platform, and when only one interface calling program is used, the reading is scheduled sequentially, and when a plurality of interface calling programs exist, the reading is scheduled simultaneously.
The data read from the client is order data which specifically comprises order information of a consumer, order information of an e-commerce platform for receiving orders and then placing orders to a warehouse; the data read from the warehouse end is sorting data which specifically comprises order receiving information, a goods picking order and an electronic order from the warehouse, and sorting information and interception information in the goods picking process; the data read from the express bill is distribution data, and the distribution data comprises loading, unloading and transportation information of a network point and a transfer station, and warehousing information, delivery information and signing-in information of a destination network point.
103, extracting order numbers and freight order numbers in order data, sorting data and distribution data of each order, and establishing the relevance between the order numbers and the freight order numbers;
in the step, when the order number and the transport order number are extracted, the order number is specifically extracted from order data independently, the transport order number is extracted from distribution data independently, the order number and the transport order number are extracted from sorting data, when the order number and the transport order number in the sorting data are extracted, the order number and the transport order number are extracted according to single sorting data, and the extracted order number and the extracted transport order number are associated to obtain a group of order number information.
Further, on the basis of matching of each group of order number information, firstly, matching is carried out on order numbers in the order number information and order numbers extracted from order data, order data with the order numbers consistent are screened out, a corresponding relation between the order numbers and the order data is established, the corresponding relation comprises the relevance of the order numbers and the relevance between the order data and sorting data, then, matching is carried out on the order numbers in the order number information and delivery data extracted from the delivery data, delivery data with the delivery numbers consistent are screened out, and a corresponding relation between the delivery data and the sorting data is established, wherein the corresponding relation comprises the relevance of the delivery numbers and the relevance between the delivery data and the sorting data.
104, classifying the order data, the sorting data and the distribution data of all orders according to the relevance to obtain at least one group of express mail data, wherein the group of express mail data comprises at least one order data, at least one sorting data and at least one distribution data;
in this embodiment, after the association between the order number and the delivery number is established, the order number is used as a classification index, order data, sorting data, and delivery data are grouped based on the association, the order number and the corresponding association are used to screen out the associated order data and sorting data, and then the delivery data is screened out by using the delivery number and the corresponding association in the sorting data, so as to screen out a group of express mail data.
Furthermore, in the screening process, the classified express mail data must include order data, sorting data and delivery data at the same time, and if the number of the order data is less than one, the next order number is skipped to carry out classified screening.
And 105, extracting order state information in each group of express mail data, and generating a full link track based on the order state information.
In this embodiment, when the order state information of each group of express mail data is extracted, the business structure is extracted in each end, for example, the order data is extracted, and the process of forming an order in the client end is to receive an order placing request of a consumer, allocate an order based on the order placing request, obtain an electronic order, and after the electronic order is generated, determine that the order state is order placing and request a warehouse to pick up goods. Based on such an order generation flow, each field information in order data is extracted one by one to extract order status information on the client side.
Similarly, for the sorting data and the distribution data, the order processing flows of the warehouse side and the express side are analyzed one by one to obtain corresponding order state information.
In this embodiment, the order state information includes a state of the order flow transferred to each node and a processing node of three ends, when the full link trajectory is generated, a service structure diagram is formed based on the processing nodes of three ends, and the state of each node is adjusted according to the extracted state on the basis of the service structure diagram, so as to obtain the full link trajectory.
In the embodiment of the invention, the order data, the sorting data and the delivery data of all orders are respectively obtained from the client, the warehouse and the express delivery end by calling three groups of communication interfaces, the order number and the delivery number are extracted based on the order data, the sorting data and the delivery data, the relevance between the order number and the delivery number is established, the whole link of the order is opened based on the combed relevance, a whole-process monitoring large disc is formed, the supply chain business personnel can be helped to effectively monitor abnormal data, the business bottleneck is analyzed, and the operation efficiency is improved.
Referring to fig. 2, a second embodiment of the order full link trajectory generation method according to the embodiment of the present invention includes:
at least three groups of communication interfaces are configured in a scheduling supply chain cooperative platform system, and distribution data of all orders in a preset time period are acquired from a client, a warehouse and an express terminal respectively, wherein the distribution data comprise order data, sorting data and delivery data;
in this step, the scheduling communication interface needs to determine whether a scheduling trigger exists, the scheduling trigger is triggered by detecting a new order, and after the scheduling is triggered, acquisition of allocation data is specifically realized by the following means:
detecting whether a new order is generated in a client;
if the number of the new orders exists, counting the number of the new orders, scheduling at least three groups of communication interfaces when the number reaches a threshold value or counting time reaches, establishing communication links among the supply chain collaboration platform system, the client side, the warehouse side and the express delivery side, and recording a first time point when the new orders are detected for the first time and a second time point when the threshold value or counting time is reached for the last new order;
and based on the communication link, reading data between the first time point and the second time point from background databases of the client, the warehouse and the express delivery end in sequence according to the new order to generate distribution data.
In this embodiment, for reading the allocation data, specifically, reading is performed according to a time period, the time period is triggered by a new order, after the new order is detected, a timer and/or a counter are started to count, and after any one of the timer and the counter meets a counting condition, the scheduling program captures the data to obtain the allocation data.
202, extracting each order data and the order number in each sorting data, and extracting the delivery number in each sorting data and each distribution data;
in the step, the order in the order data is identified through the generation rule of the order number and the freight note number to obtain the order number and the freight note number, in the process of extracting the sorting data, the order number and the freight note number need to be extracted according to single data, and the order number and the freight note number are associated while being extracted to form a single number combination.
203. On the basis of the sorting data serving as a matching basis, the order data matched with the sorting data are inquired upwards, and the distribution data matched with the sorting data are inquired downwards to obtain an inquiry result;
in this step, the query result includes the relevance between data and the relevance between single numbers, and the query matching process specifically includes: selecting one piece of sorting data from the sorting data as matching data, and acquiring an order number and a waybill number corresponding to the matching data;
taking the order number as a first query index, querying order data consistent with the first query index from all order data, and establishing an upward incidence relation between the matching data and the order data;
taking the waybill number as a second query index, querying delivery data consistent with the second query index from all the delivery data, and establishing a downward association relation between the matching data and the delivery data;
and determining a link diagram between the order number and the freight bill number according to the upward incidence relation and the downward incidence relation to obtain a query result.
204. Establishing the relevance between order numbers and delivery numbers in the order data, the sorting data and the distribution data based on the query result;
205, classifying the order data, sorting data and distribution data of all orders according to the relevance to obtain at least one group of express mail data, wherein the group of express mail data comprises at least one order data, at least one sorting data and at least one distribution data;
in this embodiment, the distribution data is classified according to the relevance, and may be specifically realized by a classification model, that is, the relevance is input into the classification model, and then the classification model identifies order data, sorting data, and delivery data in the distribution data based on the relevance, so as to realize classification processing, and obtain multiple sets of express mail data.
And 206, extracting order state information in each group of express mail data, and generating a full link track based on the order state information.
Before extracting the order state information of the order data, sorting data and delivery data in each group of express mail data, extracting the state change process in the client, warehouse and express delivery terminals when processing orders respectively, analyzing the order data, sorting data and delivery data respectively based on the state change process of each terminal, extracting the state field therein, as shown in fig. 4, the order placing process of the client is that after receiving a client order placing request, a supply chain order center inquires the stock information in the warehouse based on the order placing request, determines whether to place an order based on the stock information, namely order information is generated, if so, orders are placed to a warehouse management system WMS through an order management system OMS, namely the warehouse terminal, and after receiving orders by the WMS, electronic order sheets for picking up goods orders and delivery are generated, and the warehouse picks up goods and packages based on the order sheets, and after the packaging is finished, the order is rechecked, the order is transferred to a collecting bin to wait for the receiving of the express company after the rechecking, and the warehouse issues the receiving order to the express terminal based on the electronic surface while picking up the goods.
Furthermore, in the picking process, the order placing information issued by the client is monitored in real time, if the order cutting information includes the order cutting information, only order numbers in the picking order are screened, and the corresponding picking order is intercepted and the cancellation of the electronic bill is informed.
The order processing flow of the express delivery terminal is as follows:
the method comprises the following steps: picking up the parts from the originating network, scanning the received parts, collecting the collected parts, weighing and scanning the collected parts, and collecting the collected parts from the originating network;
step two: the originating center sends out, the transfer center of the network point records the getting-off operation of the piece, the terminal center receives, and the terminal transfer center receives operation record corresponding to the destination of the piece;
step three: the terminal center sends out an operation record corresponding to the order destination and the terminal transfer center sends out an operation record, the terminal network points receive income, and the terminal network points send parts according to the operation record of the order destination corresponding to the part sending network points;
step four: and the client signs, and the dispatcher safely and timely sends the express to the receiving client and guides the receiving client to finish signing.
Analyzing the order data, the sorting data and the distribution data one by one based on the order processing flow to obtain order state information, and connecting the order state information extracted from each data in series according to the time sequence to obtain a full link track.
In practical application, the order processing flow is trained and learned through a neural network to obtain a corresponding extraction model, field identification and extraction are respectively carried out on corresponding data based on the extraction model to obtain order state information, and then a full link track is obtained through visualization processing.
In the embodiment of the invention, the full link track of the order is obtained by capturing the order data of each party of the supply chain, combing the warehouse track data and the logistics track, the overall monitoring is realized based on the full link track, the monitoring quality of the supply chain is improved, a 360-degree visual interface is provided for a customer, the reliability of the customer on the rhyme supply chain is improved, and the sales strategy of the customer is optimized; meanwhile, all-round link supervision is provided for the rhyme supply chain personnel, problems are found, problems are optimized, and the working efficiency and the service quality of the rhyme supply chain are continuously improved.
Referring to fig. 3, a third embodiment of the order full-link trajectory generation method according to the embodiment of the present invention includes:
301, configuring at least three groups of communication interfaces in a supply chain cooperative platform system;
302, scheduling at least three groups of communication interfaces, and respectively acquiring distribution data of all orders in a preset time period from a client, a warehouse and an express terminal, wherein the distribution data comprises order data, sorting data and delivery data;
303, extracting order numbers and freight note numbers in order data, sorting data and distribution data of each order, and establishing the relevance between the order numbers and the freight note numbers;
classifying the order data, the sorting data and the distribution data of all orders according to the relevance to obtain at least one group of express mail data, wherein the group of express mail data comprises at least one order data, at least one sorting data and at least one distribution data;
for the above steps 301-304, the implementation manner is the same as that of the steps 101-104, and the detailed description is not repeated here.
305, extracting order placing identification fields in order data of each group of express mail data;
306. if the order data has the order identification field, selecting the corresponding sorting data downwards according to the order number;
307. extracting order receiving identification fields, picking identification fields and delivery identification fields in the sorting data;
308. when the delivery identification field exists in the sorting data, corresponding delivery data is selected downwards according to the waybill number in the sorting data;
309. extracting distribution operation records of an originating node, a transit node and a tail node in distribution data;
310. constructing a state change diagram of the express according to the order placing identification field, the order receiving identification field, the picking identification field, the delivery identification field and the delivery operation record;
in this embodiment, the state change graph obtained in step 305 and step 310 may specifically be analyzed based on the flow of the order state change in fig. 4, where the flow on each node generates corresponding field information, and the field information in the allocation data is identified by extracting the field information as an analysis index to obtain the corresponding state information.
And sequencing the state information according to the flow nodes in the figure 4, and converting the sequenced state information into a track view by using a visualization processing technology to obtain a state change diagram.
311. Extracting a first processing flow node from the order placement of the client to the order placement of the warehouse, a second processing flow node from the order placement of the client to the delivery of the warehouse, and a third processing flow node from the pickup of the express delivery end from the warehouse to the sign-in of the user;
312. generating a business structure diagram of the order according to the first processing flow node, the second processing flow node and the third processing flow node;
in this embodiment, when extracting the service structure diagram, specifically, the service structure diagram is extracted based on the flow in the schematic diagram of the order warehouse service structure in fig. 5, first, after receiving an order from a client, a pick-up order and an electronic surface order of the order to be delivered from a warehouse are printed, the pick-up order and the electronic surface single flow are transferred to a warehouse management system WMS, a pick-up person receives the printed pick-up order, and the picked-up order is delivered to an area to be reviewed; scanning and rechecking the commodities one by one on the order to be rechecked; an express company takes a delivery at an initial site, performs consignation scanning, collects at the initial site, performs collection weighing scanning, and receives from an initial center; the originating center sends out, the transfer center of the network point records the getting-off operation of the piece, the terminal center receives, and the terminal transfer center receives operation record corresponding to the destination of the piece; the terminal center sends out an operation record corresponding to the order destination and the terminal transfer center sends out an operation record, the terminal network points receive income, and the terminal network points send parts according to the operation record of the order destination corresponding to the part sending network points; and the client signs, and the dispatcher safely and timely sends the express to the receiving client and guides the receiving client to finish signing.
Based on the above-mentioned service structure diagram, when analyzing data, the node information is firstly identified, then the corresponding node data is analyzed for the node information, and the order state information is analyzed from the fields in the node data.
313. And generating a full link track according to the service structure chart, the order placing identification field, the order receiving identification field, the picking identification field, the delivery identification field and the delivery operation record.
In the step, a service structure diagram is formed based on three-end processing nodes, and the states of the nodes are adjusted according to the extracted states on the basis of the service structure diagram, so that a full link track is obtained.
In the embodiment of the invention, the whole-process monitoring large plate is formed by grabbing order data, warehouse track data and logistics tracks of a client, a warehouse and an express terminal under a supply chain, and then combing the relevance to get through the whole order link. The method can help supply chain business personnel to effectively monitor abnormal data, analyze business bottlenecks and improve operation efficiency.
With reference to fig. 6, the method for generating an order full link trajectory in the embodiment of the present invention is described above, and an embodiment of the apparatus for generating an order full link trajectory in the embodiment of the present invention includes:
a configuration module 601, configured to configure at least three sets of communication interfaces in the supply chain collaboration platform system;
the data reading module 602 is configured to schedule at least three groups of communication interfaces, and obtain distribution data of all orders in a preset time period from a client, a warehouse, and an express delivery end, where the distribution data includes order data, sorting data, and delivery data;
the association module 603 is configured to extract order numbers and waybill numbers in order data, sorting data, and delivery data of each order, and establish an association between the order numbers and the waybill numbers;
a classification module 604, configured to classify the order data, the sorting data, and the delivery data of all orders according to the relevance to obtain at least one group of express mail data, where the group of express mail data includes at least one order data, at least one sorting data, and at least one delivery data;
and the track generating module 605 is configured to extract order state information in each group of the express mail data, and generate a full link track based on the order state information.
In the embodiment of the invention, the full link track of the order is obtained by capturing the order data of each party of the supply chain, combing the warehouse track data and the logistics track, the overall monitoring is realized based on the full link track, the monitoring quality of the supply chain is improved, a 360-degree visual interface is provided for a customer, the reliability of the customer on the rhyme supply chain is improved, and the sales strategy of the customer is optimized; meanwhile, all-round link supervision is provided for the rhyme supply chain personnel, problems are found, problems are optimized, and the working efficiency and the service quality of the rhyme supply chain are continuously improved.
Referring to fig. 7, another embodiment of the order full-link trajectory generating device according to the embodiment of the present invention includes:
a configuration module 601, configured to configure at least three sets of communication interfaces in the supply chain collaboration platform system;
the data reading module 602 is configured to schedule at least three groups of communication interfaces, and obtain distribution data of all orders in a preset time period from a client, a warehouse, and an express delivery end, where the distribution data includes order data, sorting data, and delivery data;
the association module 603 is configured to extract order numbers and waybill numbers in order data, sorting data, and delivery data of each order, and establish an association between the order numbers and the waybill numbers;
a classification module 604, configured to classify the order data, the sorting data, and the delivery data of all orders according to the relevance to obtain at least one group of express mail data, where the group of express mail data includes at least one order data, at least one sorting data, and at least one delivery data;
and the track generating module 605 is configured to extract order state information in each group of the express mail data, and generate a full link track based on the order state information.
The data reading module 602 is specifically configured to:
detecting whether a new order is generated in a client;
if the number of the new orders exists, counting the number of the new orders, scheduling at least three groups of communication interfaces when the number reaches a threshold value or counting time reaches, establishing communication links among the supply chain collaboration platform system, the client side, the warehouse side and the express delivery side, and recording a first time point when the new orders are detected for the first time and a second time point when the threshold value or counting time is reached for the last new order;
and based on the communication link, reading data between the first time point and the second time point from background databases of the client, the warehouse and the express delivery end in sequence according to the new order to generate distribution data.
Wherein the associating module 603 comprises:
an identification unit 6031 for extracting order numbers in each of the order data and each of the sort data, and extracting a delivery order number in each of the sort data and each of the delivery data;
an inquiry unit 6032, configured to, based on the sorting data as a matching basis, inquire upward order data that matches each sorting data, and inquire downward distribution data that matches each sorting data, to obtain an inquiry result;
an association unit 6033 configured to establish an association between an order number and a delivery number in each of the order data, sort data, and delivery data based on the query result.
The query unit 6032 is specifically configured to:
selecting one piece of sorting data from the sorting data as matching data, and acquiring an order number and a waybill number corresponding to the matching data;
taking the order number as a first query index, querying order data consistent with the first query index from all order data, and establishing an upward incidence relation between the matching data and the order data;
taking the waybill number as a second query index, querying delivery data consistent with the second query index from all the delivery data, and establishing a downward association relation between the matching data and the delivery data;
and determining a link diagram between the order number and the freight bill number according to the upward incidence relation and the downward incidence relation to obtain a query result.
Wherein the trajectory generation module 605 comprises:
a first extracting unit 6051, configured to extract order placing identification fields in order data of each group of the express mail data;
a first selecting unit 6052, configured to select, when an order placing identification field exists in the order data, corresponding sorting data to be selected downwards according to an order number;
a second extraction unit 6053, configured to extract an order receiving identification field, a picking identification field, and a shipping identification field in the sorting data;
a second selecting unit 6054, configured to, when it is determined that the shipment identification field exists in the sorting data, select corresponding delivery data downward according to the waybill number in the sorting data;
a third extraction unit 6055, configured to extract distribution operation records of an originating node, a transit node, and a terminating node in the distribution data;
and a constructing unit 6056, configured to construct a state change diagram of the express delivery according to the order placing identification field, the order receiving identification field, the picking identification field, the shipping identification field, and the delivery operation record, and generate a full link trajectory based on the state change diagram.
The track generating module 605 further includes a service structure extracting unit 6057, configured to:
extracting a first processing flow node from the receiving of the order by the client to the placing of the order to the warehouse, a second processing flow node from the receiving of the order by the warehouse to the delivery by the warehouse, and a third processing flow node from the receiving of the express delivery by the express delivery end to the signing of the user;
generating a service structure chart of the order according to the first processing flow node, the second processing flow node and the third processing flow node;
and generating a full link track according to the service structure diagram, the order placing identification field, the order receiving identification field, the picking identification field, the delivery identification field and the delivery operation record.
In the embodiment of the invention, the order data, the sorting data and the delivery data of all orders are respectively obtained from the client, the warehouse and the express delivery terminal by calling three groups of communication interfaces, the order number and the delivery number are extracted based on the order data, the sorting data and the delivery data, the relevance between the order number and the delivery number is established, the order data, the sorting data and the delivery data of all orders are classified based on the relevance to obtain a plurality of groups of express mail data, and the order state information in the express mail data is extracted according to the groups, so that the full link track of the orders is generated. After data in the three ends are associated by the order number and the waybill number, order state information in the three-end data after observation is extracted, so that association of the three-end data is realized, a full link track is obtained, when a damaged or lost piece occurs, nodes with problems can be checked directly through the full link track, meanwhile, real-time monitoring of a single end can be realized based on the full link track, the phenomenon that a connection fault occurs in distribution and the problems cannot be tracked is avoided, the abnormal data can be effectively monitored by supply chain service personnel, service bottlenecks are analyzed, and operation efficiency is improved.
Referring to fig. 8, an embodiment of the order full link trajectory generation device in the embodiment of the present invention is described in detail from the perspective of hardware processing.
Fig. 8 is a schematic structural diagram of an order full link trajectory generation device according to an embodiment of the present invention, where the order full link trajectory generation device 800 may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 810 (e.g., one or more processors) and a memory 820, and one or more storage media 830 (e.g., one or more mass storage devices) storing an application 833 or data 832. Memory 820 and storage medium 830 may be, among other things, transient or persistent storage. The program stored on the storage medium 830 may include one or more modules (not shown), each of which may include a sequence of instruction operations for the order full link trajectory generation device 800. Still further, the processor 810 may be configured to communicate with the storage medium 830 to execute a series of instruction operations in the storage medium 830 on the order full link trajectory generation device 800.
The order full link trajectory generation device 800 may also include one or more power supplies 840, one or more wired or wireless network interfaces 850, one or more input-output interfaces 860, and/or one or more operating systems 831, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, and the like. Those skilled in the art will appreciate that the configuration of the order full link track generation facility shown in FIG. 8 does not constitute a limitation of the order full link track generation facility and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
The present invention also provides a computer readable storage medium, which may be a non-volatile computer readable storage medium, and which may also be a volatile computer readable storage medium, having stored therein instructions, which, when run on a computer, cause the computer to perform the steps of the order full link trajectory generation method.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A full-link track generation method for an order is applied to a supply chain cooperative platform system, and is characterized by comprising the following steps:
configuring at least three groups of communication interfaces in the supply chain cooperative platform system;
scheduling at least three groups of communication interfaces, and respectively acquiring distribution data of all orders in a preset time period from a client, a warehouse and an express terminal, wherein the distribution data comprises order data, sorting data and delivery data;
extracting order numbers and freight order numbers in order data, sorting data and distribution data of each order, and establishing the relevance between the order numbers and the freight order numbers;
classifying the order data, the sorting data and the distribution data of all orders according to the relevance to obtain at least one group of express mail data, wherein the group of express mail data comprises at least one order data, at least one sorting data and at least one distribution data;
and extracting order state information in each group of express mail data, and generating a full link track based on the order state information.
2. The order full-link track generation method according to claim 1, wherein the scheduling at least three groups of the communication interfaces respectively obtaining distribution data of all orders within a preset time period from a client, a warehouse and a courier comprises:
detecting whether a new order is generated in a client;
if the number of the new orders exists, counting the number of the new orders, scheduling at least three groups of communication interfaces when the number reaches a threshold value or counting time reaches, establishing communication links among the supply chain collaboration platform system, the client side, the warehouse side and the express delivery side, and recording a first time point when the new orders are detected for the first time and a second time point when the threshold value or counting time is reached for the last new order;
and based on the communication link, reading data between the first time point and the second time point from background databases of the client, the warehouse and the express delivery end in sequence according to the new order to generate distribution data.
3. The order full link trajectory generation method of claim 2, wherein the extracting the order number and the order number in each of the order data, the sort data, and the delivery data and establishing the association between the order number and the order number comprises:
extracting order numbers in each order data and each sorting data, and extracting freight order numbers in each sorting data and each distribution data;
on the basis of the sorting data serving as a matching basis, upwards inquiring order data matched with the sorting data, and downwards inquiring distribution data matched with the sorting data to obtain an inquiry result;
and establishing the relevance between the order number and the delivery number in each of the order data, the sorting data and the distribution data based on the query result.
4. The order full-link trajectory generation method according to claim 3, wherein the querying up the order data matched with each sorting data and the querying down the delivery data matched with each sorting data based on the sorting data as a matching basis to obtain the query result comprises:
selecting one piece of sorting data from the sorting data as matching data, and acquiring an order number and a waybill number corresponding to the matching data;
taking the order number as a first query index, querying order data consistent with the first query index from all order data, and establishing an upward incidence relation between the matching data and the order data;
taking the waybill number as a second query index, querying delivery data consistent with the second query index from all the delivery data, and establishing a downward association relation between the matching data and the delivery data;
and determining a link diagram between the order number and the freight bill number according to the upward incidence relation and the downward incidence relation to obtain a query result.
5. The order full-link track generation method according to any one of claims 1 to 4, wherein the extracting order state information in each group of the express mail data and generating a full-link track based on the order state information comprises:
extracting order placing identification fields in order data of each group of express mail data;
if the order data has the order identification field, selecting the corresponding sorting data downwards according to the order number;
extracting order receiving identification fields, picking identification fields and delivery identification fields in the sorting data;
when the fact that the delivery identification fields exist in the sorting data is judged, corresponding delivery data are selected downwards according to the waybill number in the sorting data;
extracting the distribution operation records of an originating node, a transit node and a tail node in the distribution data;
and constructing a state change diagram of the express according to the order placing identification field, the order receiving identification field, the picking identification field, the delivery identification field and the delivery operation record, and generating a full link track based on the state change diagram.
6. The order full-link track generation method according to claim 5, wherein the extracting order status information in each group of the express mail data and generating a full-link track based on the order status information further comprises:
extracting a first processing flow node from the receiving of the order by the client to the placing of the order to the warehouse, a second processing flow node from the receiving of the order by the warehouse to the delivery by the warehouse, and a third processing flow node from the receiving of the express delivery by the express delivery end to the signing of the user;
generating a service structure chart of the order according to the first processing flow node, the second processing flow node and the third processing flow node;
and generating a full link track according to the service structure diagram, the order placing identification field, the order receiving identification field, the picking identification field, the delivery identification field and the delivery operation record.
7. An order full-link trajectory generation device, characterized by comprising:
the configuration module is used for configuring at least three groups of communication interfaces in the supply chain collaboration platform system;
the data reading module is used for scheduling at least three groups of communication interfaces and respectively acquiring distribution data of all orders in a preset time period from a client, a warehouse and an express delivery end, wherein the distribution data comprises order data, sorting data and delivery data;
the association module is used for extracting order numbers and freight note numbers in order data, sorting data and distribution data of each order and establishing the association between the order numbers and the freight note numbers;
the classification module is used for classifying the order data, the sorting data and the distribution data of all orders according to the relevance to obtain at least one group of express mail data, wherein the group of express mail data comprises at least one order data, at least one sorting data and at least one distribution data;
and the track generation module is used for extracting order state information in each group of express mail data and generating a full link track based on the order state information.
8. The order full link track generation apparatus of claim 7, wherein the track generation module comprises:
the first extraction unit is used for extracting order placing identification fields in order data of each group of express mail data;
the first selection unit is used for selecting corresponding sorting data downwards according to the order number when the order placing identification field exists in the order data;
the second extraction unit is used for extracting the order receiving identification field, the picking identification field and the delivery identification field in the sorting data;
the second selection unit is used for selecting corresponding delivery data downwards according to the waybill number in the sorting data when the fact that the delivery identification field exists in the sorting data is judged;
a third extraction unit, configured to extract distribution operation records of an originating node, a transit node, and a terminating node in the distribution data;
and the construction unit is used for constructing a state change diagram of the express mail according to the order placing identification field, the order receiving identification field, the picking identification field, the delivery identification field and the delivery operation record, and generating a full link track based on the state change diagram.
9. An order full-link track generation device, characterized by comprising:
a memory having instructions stored therein and at least one processor, the memory and the at least one processor interconnected by a line;
the at least one processor invoking the instructions in the memory to cause the order full link trajectory generation device to perform the steps of the order full link trajectory generation method of any of claims 1-6.
10. A computer readable storage medium having instructions stored thereon, wherein the instructions, when executed by a processor, implement the steps of order full link trajectory generation as claimed in any one of claims 1-6.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113706273A (en) * | 2021-10-28 | 2021-11-26 | 苏州贝塔智能制造有限公司 | Container distribution system for flexibly manufactured clothing cut pieces and clothing cut piece sorting method |
| CN116050974A (en) * | 2022-12-30 | 2023-05-02 | 广州拓威天海国际物流有限公司 | Logistics state visual tracking method and system |
| CN116720964A (en) * | 2023-08-08 | 2023-09-08 | 建信金融科技有限责任公司 | Transaction information processing method, device and equipment |
| CN117495019A (en) * | 2023-11-14 | 2024-02-02 | 扬州市职业大学(扬州开放大学) | Agricultural product cooperative scheduling method and system based on agricultural product supply chain |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113706273A (en) * | 2021-10-28 | 2021-11-26 | 苏州贝塔智能制造有限公司 | Container distribution system for flexibly manufactured clothing cut pieces and clothing cut piece sorting method |
| CN113706273B (en) * | 2021-10-28 | 2022-09-30 | 苏州贝塔智能制造有限公司 | Container distribution system for flexibly manufactured clothing cut pieces and clothing cut piece sorting method |
| CN116050974A (en) * | 2022-12-30 | 2023-05-02 | 广州拓威天海国际物流有限公司 | Logistics state visual tracking method and system |
| CN116720964A (en) * | 2023-08-08 | 2023-09-08 | 建信金融科技有限责任公司 | Transaction information processing method, device and equipment |
| CN116720964B (en) * | 2023-08-08 | 2023-12-05 | 建信金融科技有限责任公司 | Transaction information processing method, device and equipment |
| CN117495019A (en) * | 2023-11-14 | 2024-02-02 | 扬州市职业大学(扬州开放大学) | Agricultural product cooperative scheduling method and system based on agricultural product supply chain |
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