CN112037026A - Automatic abnormal transaction work order processing method, device and system - Google Patents
Automatic abnormal transaction work order processing method, device and system Download PDFInfo
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Abstract
The invention provides an automatic abnormal transaction work order processing method and device, wherein the method comprises the following steps: acquiring data of the abnormal transaction work order to be processed, wherein the data comprises: transaction name, transaction channel, transaction type, transaction error code and transaction error information; using the transaction error code and the transaction error information as keywords to inquire whether similar historical abnormal transaction work order processing records exist in a historical abnormal transaction work order processing system or not; if yes, calculating the Jaccard similarity coefficient of the abnormal transaction work order data to be processed and the historical abnormal transaction work order data according to the abnormal transaction work order data to be processed and the historical abnormal transaction work order data: judging whether the Jaccard similarity coefficient is larger than a preset value or not; if the Jaccard similarity coefficient is larger than a preset value, the abnormal transaction work order to be processed is transmitted to a system corresponding to the historical abnormal transaction work order processing record, an analysis link can be shortened, consumed manpower is reduced, and customer satisfaction is improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an automatic abnormal transaction work order processing method and device.
Background
When dealing with the transaction of the acquiring system, if an abnormal condition occurs, the customer or the merchant puts forward an abnormal transaction work order, and the abnormal transaction work order includes: customer information, transaction name, time, place, merchant, card number, amount, transaction name, transaction channel, transaction type, transaction error code, transaction error information and the like which occur on site, wherein one transaction usually relates to a plurality of financial systems for processing; in the existing abnormal work order processing technology, the abnormal work orders are forwarded to a background system in turn, management and maintenance personnel of the background system manually judge whether the abnormal work orders are the problems of the system, if not, the abnormal work orders are continuously forwarded to the next system, the management and maintenance personnel of the next system manually judge whether the abnormal work orders are the problems of the system, and the like until the abnormal work orders are forwarded to a card issuing system, and then analysis results are fed back to customers, so that the analysis link is long, the labor is consumed, and the customer satisfaction is low.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an automatic abnormal transaction work order processing method and device, which can at least partially solve the problems in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, an automated abnormal transaction work order processing method is provided, which includes:
acquiring data of the abnormal transaction work order to be processed, wherein the data comprises: transaction name, transaction channel, transaction type, transaction error code and transaction error information;
using the transaction error code and the transaction error information as keywords to inquire whether similar historical abnormal transaction work order processing records exist in a historical abnormal transaction work order processing system or not;
if yes, calculating the Jaccard similarity coefficient of the abnormal transaction work order data to be processed and the historical abnormal transaction work order data according to the abnormal transaction work order data to be processed and the historical abnormal transaction work order data:
judging whether the Jaccard similarity coefficient is larger than a preset value or not;
and if the Jaccard similarity coefficient is larger than a preset value, the abnormal transaction work order to be processed is transmitted to a system corresponding to the historical abnormal transaction work order processing record.
Further, the automatic abnormal transaction work order processing method further comprises the following steps:
if similar historical abnormal transaction work order processing records do not exist in the historical abnormal transaction work order processing system, or the Jaccard similarity coefficient is not larger than a preset value, judging whether a system for processing the historical abnormal transaction work order containing the transaction error code and the transaction error information has a probability larger than a preset threshold value;
and if so, sending the abnormal transaction work order data to be processed to the system.
Further, the automatic abnormal transaction work order processing method further comprises the following steps:
if a system for processing the historical abnormal transaction work order containing the transaction error code and the transaction error information does not exist, or a system corresponding to the processing record of the historical abnormal transaction work order cannot process the error of the abnormal transaction work order to be processed, or a system for processing the historical abnormal transaction work order containing the transaction error code and the transaction error information does not process the error of the abnormal transaction work order to be processed, searching a corresponding processing system in a corresponding relation table according to a preset rule based on the transaction name, the transaction error code and the transaction error, wherein the probability of processing the abnormal transaction work order to be processed is greater than a preset threshold value:
if the corresponding processing system is found in the corresponding relation table, the abnormal transaction work order data to be processed is sent to the processing system;
and if the corresponding processing system is not found in the corresponding relation table, sending the abnormal transaction work order data to be processed to a first system of the transaction link.
Further, the first system of the transaction link is an acquirer system.
Further, the historical abnormal transaction work order processing data is stored in a database in an attribute graph structure.
In a second aspect, an automated abnormal transaction work order processing apparatus is provided, which includes:
the data to be processed acquisition module acquires data of the abnormal transaction work order to be processed, wherein the data comprises: transaction name, transaction channel, transaction type, transaction error code and transaction error information;
the work order query module is used for querying whether similar historical abnormal transaction work order processing records exist in a historical abnormal transaction work order processing system or not by taking the transaction error code and the transaction error information as keywords;
if the fact that similar historical abnormal transaction work order processing records exist in the historical abnormal transaction work order processing system is inquired, the Jaccard similarity coefficient calculation module calculates the Jaccard similarity coefficients of the abnormal transaction work order data to be processed and the historical abnormal transaction work order data according to the similar historical abnormal transaction work order processing records:
the judging module is used for judging whether the Jaccard similarity coefficient is larger than a preset value or not;
and the work order distribution module is used for transmitting the abnormal transaction work order to be processed to a system corresponding to the historical abnormal transaction work order processing record if the Jaccard similarity coefficient is larger than a preset value.
Further, the automatic abnormal transaction work order processing device further comprises:
the probability query module is used for judging whether a system for processing the historical abnormal transaction work order containing the transaction error code and the transaction error information has a probability larger than a preset threshold value or not if the historical abnormal transaction work order processing system does not have similar historical abnormal transaction work order processing records or the Jaccard similarity coefficient is not larger than the preset value;
and the work order data directional sending module is used for sending the abnormal transaction work order data to be processed to the system if the probability of processing the historical abnormal transaction work order containing the transaction error codes and the transaction error information is greater than a preset threshold value.
Further, the automatic abnormal transaction work order processing device further comprises:
if a system for processing the historical abnormal transaction work order containing the transaction error code and the transaction error information has no probability greater than a preset threshold, or a system corresponding to the processing record of the historical abnormal transaction work order cannot process the error of the abnormal transaction work order to be processed, or a system for processing the historical abnormal transaction work order containing the transaction error code and the transaction error information has a probability greater than a preset threshold cannot process the error of the abnormal transaction work order to be processed, the preset processing module searches a corresponding processing system in a corresponding relation table according to a preset rule based on the transaction name, the transaction error code and the transaction error:
the work order data appointing and processing module is used for sending the work order data of the abnormal transaction to be processed to a processing system if the corresponding processing system is found in the corresponding relation table;
and the order receiving designation processing module is used for sending the abnormal transaction work order data to be processed to a first system of the transaction link if the corresponding processing system is not found in the corresponding relation table.
In a third aspect, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-mentioned automated abnormal transaction work order processing method.
In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned automated anomalous transaction work order processing method.
The invention provides an automatic abnormal transaction work order processing method and device, wherein the method comprises the following steps: acquiring data of the abnormal transaction work order to be processed, wherein the data comprises: transaction name, transaction channel, transaction type, transaction error code and transaction error information; using the transaction error code and the transaction error information as keywords to inquire whether similar historical abnormal transaction work order processing records exist in a historical abnormal transaction work order processing system or not; if yes, calculating the Jaccard similarity coefficient of the abnormal transaction work order data to be processed and the historical abnormal transaction work order data according to the abnormal transaction work order data to be processed and the historical abnormal transaction work order data: judging whether the Jaccard similarity coefficient is larger than a preset value or not; if the Jaccard similarity coefficient is larger than a preset value, the abnormal transaction work order to be processed is transmitted to a system corresponding to the historical abnormal transaction work order processing record, and the work order is transmitted to the system for processing the similar work order by searching the similar work order, so that an analysis link can be shortened, the consumed manpower is reduced, and the customer satisfaction is improved.
In order to make the aforementioned and other objects, features and advantages of the invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts. In the drawings:
FIG. 1 illustrates a prior art transaction flow diagram;
FIG. 2 is a system architecture diagram according to an embodiment of the present invention;
FIG. 3 is a first flowchart illustrating an exemplary method for processing an abnormal transaction work order according to an embodiment of the present invention;
FIG. 4 is a second flowchart illustrating an exemplary method for processing an abnormal transaction work order according to an embodiment of the present invention;
FIG. 5 illustrates transaction work order data stored using an attribute map structure in an embodiment of the present invention.
FIG. 6 is a block diagram of an automated abnormal transaction work order processing apparatus according to an embodiment of the present invention;
fig. 7 is a block diagram of an electronic device according to an embodiment of the invention.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
It should be noted that the terms "comprises" and "comprising," and any variations thereof, in the description and claims of this application and the above-described drawings, are intended to cover a non-exclusive inclusion, 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.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 shows a flow chart of a conventional transaction, as shown in fig. 1, from an order receipt to a card issuer side (to an issuer system), which may be processed by a number of systems. Meanwhile, the intermediate systems are different according to different scenes. For example, card swiping payment is carried out by a user at a POS machine, then a POS system sends a consumption message to a background system, the background system finally sends the consumption message to a card issuing bank for deduction, then a deduction result is returned to the POS, the POS prints a receipt, and the user signs and finishes payment.
The existing abnormal transaction work order processing technology has long analysis link, consumes manpower and has low customer satisfaction.
FIG. 2 is a system architecture diagram according to an embodiment of the present invention; as shown in fig. 2, the system is configured to send data of an abnormal transaction work order to be processed to a server B1 through a client device a1, the server performs abnormal transaction work order processing provided in the embodiment of the present invention, and distributes the abnormal transaction work order to a system most likely to have the abnormality, such as an acquiring system C1, a background system 1C2, a background system 2C3, a background system NC4, a card issuing system C5, and the like, so that each system analyzes and processes the abnormal transaction work order, finds a problem location, and feeds an analysis result back to the server B1, and the server provides an analysis suggestion to a user according to the feedback result,
the server B1 may be communicatively coupled to at least one client device a1, it being understood that the client device a1 may include a smartphone, a tablet electronic device, a portable computer, a desktop computer, a Personal Digital Assistant (PDA), and the like.
The server and the client device may communicate using any suitable network protocol, including network protocols not yet developed at the filing date of this application. The network protocol may include, for example, a TCP/IP protocol, a UDP/IP protocol, an HTTP protocol, an HTTPS protocol, or the like. Of course, the network Protocol may also include, for example, an RPC Protocol (Remote Procedure Call Protocol), a REST Protocol (Representational State Transfer Protocol), and the like used above the above Protocol.
FIG. 3 is a first flowchart illustrating an exemplary method for processing an abnormal transaction work order according to an embodiment of the present invention; as shown in fig. 3, the automated abnormal transaction work order processing method may include the following:
step S100: acquiring data of the abnormal transaction work order to be processed, wherein the data comprises: transaction name, transaction channel, transaction type, transaction error code and transaction error information;
wherein, the abnormal transaction work order data can also include: customer information, time, place, merchant, card number, amount of money, etc. of the transaction.
Specifically, the abnormal transaction work order data to be processed may be directly imported by the bank system, or may be uploaded by a customer or a user using the work order system, where the structure of the abnormal transaction work order may be as shown in table 1:
TABLE 1
Step S200: using the transaction error code and the transaction error information as keywords to inquire whether similar historical abnormal transaction work order processing records exist in a historical abnormal transaction work order processing system or not;
if yes, go to step S300.
According to the abnormal transaction work order data, whether similar work order information exists in the history processing record or not is firstly inquired, so that the problem can be quickly positioned according to the history experience.
Step S300: calculating Jaccard similarity coefficients of the abnormal transaction work order data to be processed and the historical abnormal transaction work order data according to the abnormal transaction work order data to be processed and the historical abnormal transaction work order data;
it is worth noting that the Jaccard index method, also called Jaccard similarity coefficient (Jaccard similarity coefficient), is adopted in the implementation of the invention, and the larger the Jaccard coefficient value is, the higher the sample similarity is.
Given two sets a, B, the Jaccard coefficient is defined as the ratio of the size of the intersection of a and B to the size of the union of a and B, as follows:
for example, if there are 10 parameters in the abnormal transaction work order to be processed, and there are 10 parameters in the historical transaction work order, where there are 5 parameters in the historical transaction work order, the intersection of the two is 5, and the union of the two is 15.
When both sets A, B are empty, J (A, B) is defined as 1.
Broadly, given two n-dimensional vectors, the Jaccard coefficients are defined as follows:
and calculating the work order keywords such as the transaction name, the transaction channel, the transaction type, the transaction error code, the transaction error information and the like submitted by the work order system by adopting a Jaccard index method and the work order keywords processed by the system, and if the calculation result is more than 0.8, determining that the matching is successful, and then processing the historical work order with the maximum value.
Step S400: judging whether the Jaccard similarity coefficient is larger than a preset value or not;
if yes, the abnormal transaction work order to be processed is considered to be similar to the historical abnormal transaction work order, and step S500 is executed. If not, the abnormal transaction work order to be processed is not similar to the historical abnormal transaction work order.
Step S500: and transmitting the abnormal transaction work order to be processed to a system corresponding to the historical abnormal transaction work order processing record.
The abnormal transaction work order to be processed is transmitted to a system corresponding to the historical abnormal transaction work order processing record, the system completes the processing of the work order and returns a result
By adopting the technical scheme, automatic allocation processing of the work orders is realized, the problem system is quickly positioned, the analysis link can be shortened, the consumed manpower is reduced, and the customer satisfaction is improved.
In an optional embodiment, referring to fig. 4, the method for processing an abnormal transaction work order may further include:
step S600: judging whether a system for processing the historical abnormal transaction work order containing the transaction error code and the transaction error information has a probability greater than a preset threshold value;
if yes, go to step S700; if not, go to step S800.
Specifically, the historical abnormal transaction work order can be classified and counted according to the transaction error codes and the transaction error information, and when the abnormal transaction work order is found and processed, a system with more errors can be found according to the counting result and used as a problem system for primary positioning.
It is to be noted that when the determination result of step S200 or step S400 is no, step S600 is executed.
Step S700: and sending the abnormal transaction work order data to be processed to the system.
Step S800: and searching a corresponding processing system in a corresponding relation table based on the transaction name, the transaction error code and the transaction error according to a preset rule.
Wherein, the corresponding relation table is shown in the following table 2, and the entity is a system.
It should be noted that, after sending the abnormal transaction work order to be processed to the selected system, if the selected system processes a problem and finds that the problem is not in the system or cannot be processed, the processing result is fed back to the server, and the server needs to process the abnormal transaction work order to be processed again, that is: when the system corresponding to the history abnormal transaction work order processing record cannot process the error of the abnormal transaction work order to be processed, or the system having the probability of processing the history abnormal transaction work order including the transaction error code and the transaction error information larger than the preset threshold value cannot process the error of the abnormal transaction work order to be processed, the current system can receive the processing result fed back by the relevant system, and at this time, the step S800 needs to be executed.
TABLE 2
Step S900: whether a relevant system is queried.
If yes, the result is queried, and step S1000 is executed, otherwise step S1100 is executed.
Step S1000: sending the abnormal transaction work order data to be processed to the processing system;
it should be noted that the system based on the corresponding relationship table of the transaction name, the transaction error code and the transaction error is used as the problem system for initial positioning.
Step S1100: and sending the abnormal transaction work order data to be processed to a first system of a transaction link.
Wherein the first system of the transaction link is an acquirer system.
It should be noted that, when the processing system found from the corresponding relationship table cannot process the error of the abnormal transaction work order to be processed, the current system can receive the processing result fed back by the relevant system, and at this time, the step S1100 needs to be executed.
By adopting the technical scheme, the analysis link can be further shortened, the consumed manpower is reduced, and the customer satisfaction is improved.
In a further embodiment, the abnormal transaction work order processing method may further include: and counting the probability of processing the historical abnormal transaction work order containing the transaction error code and the transaction error information by each system according to the historical abnormal transaction work order processing data.
By adopting the technical scheme, the historical data can be processed in advance, and the processing efficiency is further improved.
It should be noted that, because each entity (i.e., work order) has a relatively large association, the attribute graph model may be used for data management. In the attribute graph model, each entity has an id (identity) unique identifier, each node is grouped by a Label (Label), each relationship has a unique type, and the basic concept of the attribute graph model is shown in table 3.
TABLE 3
In an alternative embodiment, the historical exception transaction work order processing data is stored in a database in an attribute graph structure, see FIG. 5.
By storing the data in the attribute graph structure, the data storage and retrieval efficiency is improved, the processing efficiency of the work order is further improved, and in practical application, developers define the attribute graph of abnormal transactions and extract entities, attributes and relationships of the attribute graph.
It should be noted that, in the attribute map building process, in the preprocessing stage, transaction history data information (for example, extracting the key fields of transactions in the transaction flow meter from the history data table) is queried through a query statement such as sql. And then, processing the data by using a logical structure of the attribute graph through a graph database system such as Neo4j, JanusGraph and the like (for example, inputting the data into a preprocessing module, and storing the processed data into the graph database system).
As will be appreciated by those skilled in the art, the customer may submit work order keywords such as customer information, transaction name, time, location, merchant, card number, amount, error code, error information, etc. using the work order system. The system firstly inquires whether similar work order information exists in the history processing record according to the submitted information, and if so, calls the history work order processing flow to process. Otherwise, analyzing the most relevant system according to the input keywords, and then processing by the most relevant system management personnel. In the processing process, the work order processing result needs to be recorded in the history processing information for subsequent work order processing query. And finishing the work order processing, filling the processing result and returning to the front end.
The processing flow of the transaction, from the acquiring system to the issuing system, relates to a plurality of systems, but the transaction set processed by each system is determined, and the system error code is determined. Based on this, the embodiment of the present invention adopts a rule-based method and a statistical-based method to perform problem location.
The rule-based method comprises the following steps: for the work order keywords such as customer information, transaction name, time, location, merchant, card number, money amount, error code, error information and the like submitted by the work order system, the processing rules and the flow are as follows:
(1) and searching the correlation system according to the error code and the transaction name, and if the correlation system is searched, directly positioning the correlation system.
(2) Searching relevant system according to error information, if it is found, directly positioning and changing system
(3) And directly positioning to a card issuing system for analysis and processing.
A statistical-based approach: for the processing of the work order, the probability of processing errors of each system is different, such as a background system i and a background system j, the processing requirements and the system positioning of the two systems are different, and the error sending rate is also different. For each system in the transaction link, the system counts historical error information and locates the system based on the statistical information.
According to the rule-based scheme, a specific system cannot be inquired, a related system in a link is inquired according to a transaction name, a plurality of systems can be inquired according to the inquiry condition, and in the case of the system, the system with a large number of errors is preferentially positioned and then processed. Meanwhile, the error frequency of the system is increased by 1 time.
Through historical work order matching and system positioning, the work order realizes automatic positioning and automatic processing of the system, and the management personnel of the related system is directly informed to process the work order without manually identifying wrong information by the work order processing personnel, so that the processing flow of the work order is reduced, the quick processing of the work order is realized, the work order processing efficiency is improved, and the customer satisfaction is improved.
By adopting the technical scheme, the associated processing system is automatically identified according to the work order keywords such as customer information, transaction name, time, place, merchant, card number, money amount, error code, error information and the like submitted by a front end (such as a front end page of the work order processing system), and the relevant processor is informed to process; instead of being sequentially analyzed by a first system handler, then transferred to a second system, and finally transferred to a card issuing system. After analysis, a specific processing system in the link is automatically positioned, so that errors can be rapidly checked, and a work order can be solved in time.
Based on the same inventive concept, the embodiment of the present application further provides an automatic abnormal transaction work order processing apparatus, which can be used to implement the method described in the foregoing embodiment, as described in the following embodiment. Because the principle of the automatic abnormal transaction work order processing device for solving the problems is similar to that of the method, the implementation of the automatic abnormal transaction work order processing device can refer to the implementation of the method, and repeated parts are not described again. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 6 is a block diagram of an automated abnormal transaction work order processing apparatus according to an embodiment of the present invention. As shown in fig. 6, the automatic abnormal transaction work order processing apparatus specifically includes: the system comprises a to-be-processed data acquisition module 10, a work order query module 20, a Jaccard similarity coefficient calculation module 30, a judgment module 40 and a work order distribution module 50.
The to-be-processed data acquisition module 10 acquires to-be-processed abnormal transaction work order data, which includes: transaction name, transaction channel, transaction type, transaction error code and transaction error information;
the work order query module 20 takes the transaction error code and the transaction error information as keywords to query whether similar historical abnormal transaction work order processing records exist in a historical abnormal transaction work order processing system;
if the fact that similar historical abnormal transaction work order processing records exist in the historical abnormal transaction work order processing system is inquired, the Jaccard similarity coefficient calculation module 30 calculates the Jaccard similarity coefficients of the abnormal transaction work order data to be processed and the historical abnormal transaction work order data according to the data:
the judging module 40 judges whether the Jaccard similarity coefficient is greater than a preset value;
and if the Jaccard similarity coefficient is larger than a preset value, the work order distribution module 50 forwards the abnormal transaction work order to be processed to a system corresponding to the historical abnormal transaction work order processing record.
By adopting the technical scheme, automatic allocation processing of the work orders is realized, the problem system is quickly positioned, the analysis link can be shortened, the consumed manpower is reduced, and the customer satisfaction is improved.
In an optional embodiment, the automated anomalous transaction work order processing device further comprises: the system comprises a probability query module and a work order data directional sending module.
The probability query module is used for judging whether a system for processing the historical abnormal transaction work order containing the transaction error code and the transaction error information has a probability larger than a preset threshold value if similar historical abnormal transaction work order processing records do not exist in the historical abnormal transaction work order processing system;
and the work order data directional sending module is used for sending the abnormal transaction work order data to be processed to the system if the probability of processing the historical abnormal transaction work order containing the transaction error codes and the transaction error information is greater than a preset threshold value.
In an optional embodiment, the automated abnormal transaction work order processing apparatus further comprises: the system comprises a preset processing module, a work order data specified processing module and an order collection specified processing module.
If a system for processing the historical abnormal transaction work order containing the transaction error code and the transaction error information is not higher than a preset threshold value, or the Jaccard similarity coefficient is not higher than the preset value, or a system corresponding to the historical abnormal transaction work order processing record cannot process the error of the abnormal transaction work order to be processed, or the system for processing the historical abnormal transaction work order containing the transaction error code and the transaction error information is higher than the preset threshold value cannot process the error of the abnormal transaction work order to be processed, a corresponding processing system is searched in a corresponding relation table according to a preset rule based on the transaction name, the transaction error code and the transaction error:
the work order data appointing and processing module is used for sending the work order data of the abnormal transaction to be processed to a processing system if the corresponding processing system is found in the corresponding relation table;
and the order receiving designation processing module is used for sending the abnormal transaction work order data to be processed to a first system of the transaction link if the corresponding processing system is not found in the corresponding relation table.
The apparatuses, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or implemented by a product with certain functions. A typical implementation device is an electronic device, which may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
In a typical example, the electronic device specifically includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the program to implement the steps of the abnormal transaction work order processing method described above.
Referring now to FIG. 7, shown is a schematic diagram of an electronic device 600 suitable for use in implementing embodiments of the present application.
As shown in fig. 7, the electronic apparatus 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate works and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM)) 603. In the RAM603, various programs and data necessary for the operation of the system 600 are also stored. The CPU601, ROM602, and RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted as necessary on the storage section 608.
In particular, according to an embodiment of the present invention, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, an embodiment of the present invention includes a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above-described abnormal transaction work order processing method.
In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. An automated abnormal transaction work order processing method is characterized by comprising the following steps:
acquiring data of the abnormal transaction work order to be processed, wherein the data comprises: transaction name, transaction channel, transaction type, transaction error code and transaction error information;
using the transaction error code and the transaction error information as keywords to inquire whether similar historical abnormal transaction work order processing records exist in a historical abnormal transaction work order processing system or not;
if yes, calculating the Jaccard similarity coefficient of the abnormal transaction work order data to be processed and the historical abnormal transaction work order data according to the abnormal transaction work order data to be processed and the historical abnormal transaction work order data:
judging whether the Jaccard similarity coefficient is larger than a preset value or not;
and if the Jaccard similarity coefficient is larger than a preset value, the abnormal transaction work order to be processed is transmitted to a system corresponding to the historical abnormal transaction work order processing record.
2. The automated anomalous transaction work order processing method of claim 1 further comprising:
if similar historical abnormal transaction work order processing records do not exist in the historical abnormal transaction work order processing system, or the Jaccard similarity coefficient is not larger than a preset value, judging whether a system for processing the historical abnormal transaction work order containing the transaction error code and the transaction error information has a probability larger than a preset threshold value;
and if so, sending the abnormal transaction work order data to be processed to the system.
3. The automated anomalous transaction work order processing method of claim 1 further comprising:
if a system for processing the historical abnormal transaction work order containing the transaction error code and the transaction error information does not exist, or a system corresponding to the processing record of the historical abnormal transaction work order cannot process the error of the abnormal transaction work order to be processed, or a system for processing the historical abnormal transaction work order containing the transaction error code and the transaction error information does not process the error of the abnormal transaction work order to be processed, searching a corresponding processing system in a corresponding relation table according to a preset rule based on the transaction name, the transaction error code and the transaction error, wherein the probability of processing the abnormal transaction work order to be processed is greater than a preset threshold value:
if the corresponding processing system is found in the corresponding relation table, the abnormal transaction work order data to be processed is sent to the processing system;
and if the corresponding processing system is not found in the corresponding relation table, sending the abnormal transaction work order data to be processed to a first system of the transaction link.
4. The automated anomalous transaction work order processing method of claim 3 wherein said first system of said transaction link is an acquirer system.
5. The automated anomalous transaction work order processing method of claim 1 wherein said historical anomalous transaction work order processing data is stored in a database in an attribute map structure.
6. An automated anomalous transaction work order processing device, comprising:
the data to be processed acquisition module acquires data of the abnormal transaction work order to be processed, wherein the data comprises: transaction name, transaction channel, transaction type, transaction error code and transaction error information;
the work order query module is used for querying whether similar historical abnormal transaction work order processing records exist in a historical abnormal transaction work order processing system or not by taking the transaction error code and the transaction error information as keywords;
if the fact that similar historical abnormal transaction work order processing records exist in the historical abnormal transaction work order processing system is inquired, the Jaccard similarity coefficient calculation module calculates the Jaccard similarity coefficients of the abnormal transaction work order data to be processed and the historical abnormal transaction work order data according to the similar historical abnormal transaction work order processing records:
the judging module is used for judging whether the Jaccard similarity coefficient is larger than a preset value or not;
and the work order distribution module is used for transmitting the abnormal transaction work order to be processed to a system corresponding to the historical abnormal transaction work order processing record if the Jaccard similarity coefficient is larger than a preset value.
7. The automated anomalous transaction work order processing device of claim 6 further comprising:
the probability query module is used for judging whether a system for processing the historical abnormal transaction work order containing the transaction error code and the transaction error information has a probability larger than a preset threshold value or not if the historical abnormal transaction work order processing system does not have similar historical abnormal transaction work order processing records or the Jaccard similarity coefficient is not larger than the preset value;
and the work order data directional sending module is used for sending the abnormal transaction work order data to be processed to the system if the probability of processing the historical abnormal transaction work order containing the transaction error codes and the transaction error information is greater than a preset threshold value.
8. The automated anomalous transaction work order processing device of claim 6 further comprising:
if a system for processing the historical abnormal transaction work order containing the transaction error code and the transaction error information has no probability greater than a preset threshold, or a system corresponding to the processing record of the historical abnormal transaction work order cannot process the error of the abnormal transaction work order to be processed, or a system for processing the historical abnormal transaction work order containing the transaction error code and the transaction error information has a probability greater than a preset threshold cannot process the error of the abnormal transaction work order to be processed, the preset processing module searches a corresponding processing system in a corresponding relation table according to a preset rule based on the transaction name, the transaction error code and the transaction error:
the work order data appointing and processing module is used for sending the work order data of the abnormal transaction to be processed to a processing system if the corresponding processing system is found in the corresponding relation table;
and the order receiving designation processing module is used for sending the abnormal transaction work order data to be processed to a first system of the transaction link if the corresponding processing system is not found in the corresponding relation table.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the automated anomalous transaction work order processing method of any one of claims 1 to 5 are implemented when the program is executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the automated anomalous transaction work order processing method of any one of claims 1 to 5.
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