CN111459701A - Abnormal order detection processing system and method - Google Patents
Abnormal order detection processing system and method Download PDFInfo
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- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
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Abstract
The invention discloses a system and a method for detecting and processing abnormal orders, wherein the method comprises the following steps: generating an order, transferring the order and filing the order; aiming at an abnormal order generated in the order circulation process, the invention detects key characteristics in the abnormal order; matching whether configuration data of an abnormal order is stored or not based on the key characteristics; if the matching is successful, calling a processing mode corresponding to the configuration data, and after the order data is recovered or corrected, re-triggering order circulation. Aiming at batch abnormal orders generated by on-line, misoperation, a system host, a network and the like, the invention can complete automatic detection and processing of the abnormal orders through configuration, and has high processing efficiency and accuracy and lower processing risk.
Description
Technical Field
The invention relates to the technical field of order processing in the telecommunication industry, in particular to a system and a method for detecting and processing abnormal orders.
Background
At present, the base number of users in the telecommunication industry is large, and the business volume is large. Asynchronous order mode is currently a common and relatively common technical approach.
According to the definition of the life cycle of an order, the method mainly comprises the steps of order generation, order circulation, order filing and the like; in the order circulation process, the order system needs to drive other systems or a center to complete the order production process according to the order circulation configuration; in the process, some abnormal orders are generated due to various reasons such as asynchronous interaction of the system, on-line operation on demand, human factors and the like.
As shown in fig. 1, for an abnormal order, the conventional method is to manually process the abnormal order, and after the order data is restored or corrected, the order circulation is triggered again; however, it has the following disadvantages:
1. a large number of abnormal orders can be generated in a short time under partial scenes, and when the abnormal orders are processed manually, the manual consumption is high, the processing efficiency is low, and the timely recovery of the system is influenced;
2. in the process of manually participating in abnormal order processing, aiming at abnormal order recovery processing, manual foreground processing or background production library data operation is needed; the workload is large, the processing efficiency is low, and the manual operation risk is large;
3. the reasons of some abnormal orders are similar or similar, and the abnormal orders need to be analyzed manually and cannot be processed uniformly according to rules.
Disclosure of Invention
In view of the above problems in the prior art, the present invention provides a system and a method for detecting and processing an abnormal order.
The invention discloses a detection processing system for abnormal orders, which comprises:
the order generation module is used for generating an order;
the order circulation module is used for completing order production according to order flow configuration; in the process, an abnormal order is generated;
the order filing module is used for filing the order which is produced;
further comprising:
an automatic detection and processing module for:
detecting key features in the abnormal order;
matching whether the configuration data of the abnormal order is stored or not based on the key characteristics;
if the matching is successful, calling a processing mode corresponding to the configuration data, and after the order data is recovered or corrected, re-triggering order circulation.
As a further improvement of the present invention, the detecting the key feature in the abnormal order includes:
detecting keywords in the abnormal order; or the like, or, alternatively,
and detecting key features which meet conditional constraints in the abnormal order based on a condition detection mode.
As a further improvement of the present invention, before the automatic detection and processing module detects, it needs to:
and adding the key features of the abnormal order and the configuration data corresponding to the key features.
As a further improvement of the invention, the method also comprises the following steps:
and the manual processing module is used for manually processing the abnormal orders which are failed to be matched, and after the order data are recovered or corrected, the order circulation is triggered again.
As a further improvement of the invention, the method also comprises the following steps:
and the updating module is used for adding the key features of the abnormal order with failure matching and the configuration data corresponding to the key features into the automatic detection and processing module.
The invention also discloses a detection processing method of the abnormal order, which comprises the following steps:
generating an order;
transferring an order;
filing orders;
it is characterized by also comprising:
detecting key characteristics of an abnormal order generated in the order circulation process;
matching whether configuration data of the abnormal order is stored in a database or not based on the key features;
if the matching is successful, calling a processing mode corresponding to the configuration data, and after the order data is recovered or corrected, re-triggering order circulation.
As a further improvement of the present invention, the detecting the key feature in the abnormal order includes:
detecting keywords in the abnormal order; or the like, or, alternatively,
and detecting key features which meet conditional constraints in the abnormal order based on a condition detection mode.
As a further improvement of the invention, before abnormal order detection, the following steps are required:
adding key features of abnormal orders and configuration data corresponding to the key features into a database.
As a further improvement of the invention, the method also comprises the following steps:
and if the matching fails, manually processing the abnormal order, and after the order data is recovered or corrected, re-triggering order circulation.
As a further improvement of the invention, the method also comprises the following steps:
and adding the key features of the abnormal orders with failed matching and the configuration data corresponding to the key features into the database.
Compared with the prior art, the invention has the beneficial effects that:
1. aiming at batch abnormal orders generated by online, misoperation, a system host, a network and the like, the invention can complete automatic detection and processing of the abnormal orders through configuration, has high processing efficiency and accuracy and lower processing risk;
2. the abnormal order detection of the invention can support multiple keywords and condition detection, and the detection mode is flexible.
Drawings
FIG. 1 is a schematic flow chart of a conventional abnormal order detection method; FIG. 2 is a block diagram of a system for detecting and processing abnormal orders according to a first embodiment of the present invention;
FIG. 3 is a block diagram of a system for detecting and processing abnormal orders according to a second embodiment of the present invention;
FIG. 4 is a block diagram of a system for detecting and processing abnormal orders according to a third embodiment of the present invention;
FIG. 5 is a flowchart illustrating a method for detecting and processing an abnormal order according to a first embodiment of the present invention;
FIG. 6 is a flowchart illustrating a method for detecting and processing an abnormal order according to a second embodiment of the present invention;
FIG. 7 is a flowchart illustrating a method for detecting and processing an abnormal order according to a third embodiment of the present invention;
fig. 8 is a flow chart of the automatic detection and processing of fig. 2-7.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The invention is described in further detail below with reference to the attached drawing figures:
the problem that manual handling capacity is large after an abnormal order is generated in the order circulation process is solved; the invention provides a detection processing system and a processing method of abnormal orders, which realize automatic detection and processing of certain abnormal orders through configuration and reduce the manual processing amount.
Specifically, the method comprises the following steps:
as shown in fig. 2, the present invention provides a system for detecting and processing an abnormal order, including:
the order generation module is used for generating an order;
the order circulation module is used for driving other systems or a center to complete the production process of the order according to the order flow configuration; in the process, an abnormal order is generated;
the order filing module is used for filing the order which is produced;
the automatic detection and processing module is used for automatically detecting the abnormal order and automatically processing the abnormal order; and after the processing is finished, the order circulation is triggered again.
As shown in fig. 8, the specific implementation method of the automatic detection and processing module of the present invention is as follows:
before detection, adding key features of abnormal orders frequently encountered by the order system and configuration data corresponding to the key features, and calling a processing mode corresponding to the abnormal orders through the configuration data; the adding mode can be manual adding or large-amount learning training adding.
Based on the configured automatic detection and processing module, when detecting:
1) detecting key features in the abnormal order; the abnormal order detection mode is flexible, and keywords in the abnormal order can be detected; or detecting key features meeting the condition constraint in the abnormal order based on a condition detection mode.
2) Matching whether the configuration data of the abnormal order is stored or not in the automatic detection and processing module based on the detected key characteristics;
3) and if the matching is successful, calling a processing mode corresponding to the configuration data, and after the order data is recovered or corrected, re-triggering order circulation.
Example 1:
abnormal order information:
931100, errMsg, execution errors of insertion statement [ Ur _ PreDestroy _ Rd @ ordersvc.insert ] SqlMapClient operation, uncategorized SQ L Exception for SQ L [ ], SQ L state [72000 ]; error code [12899 ];
---The error occurred while applying a parameter map.
---Check the [email protected].
---Check the statement(update failed).
---Cause:java.sql.SQLException:ORA-12899:
column "DBOBTSADM". "UR _ PREDESTROY _ RD". "PHONE _ NO _ D" has too large a value (actual value: 49, maximum value: 40)
The detection conditions are as follows: containing error code [12899]
The detection logic: detecting abnormal order information, if the abnormal order information meets the detection condition, matching successfully, and executing the configured prefabricated follow-up action;
example 2:
abnormal order information:
the insert statement [ Ur _ UserBillMode _ Info @ ordersvc. insert ] performs an error SqlMapClientoperation;
---The error occurred while applying a parameter map.
---Check the [email protected].
---Check the statement(update failed).
- -Cause: java. sql. SQ L IntegrityConstraintViolarionException: ORA-00001: violation of unique constraint (DBOBTSADM. PK _ UR _ USErBI LL MODE _ INFO)
;nested exception is com.ibatis.common.jdbc.exception.NestedSQLException:
---The error occurred while applying a parameter map.
---Check the [email protected].
---Check the statement(update failed).
- -Cause: java. sql. SQ L IntegrityConstraintViolarionException: ORA-00001: violation of unique constraint (DBOBTSADM. PK _ UR _ USErBI LL MODE _ INFO)
The detection condition is that the detection condition comprises Ur _ UserBillMode _ Info @ ordersvc.insert and DBOBTSADM.PK _ UR _ USErBI LL MODE _ INFO
The detection logic: and detecting abnormal order information, if the detection conditions are met, matching is successful, and executing the configured prefabricated follow-up action.
As shown in fig. 3, in order to supplement the system for detecting and processing abnormal orders shown in fig. 2, the system for detecting and processing abnormal orders of the present invention further includes:
and the manual processing module is used for carrying out manual processing on the abnormal orders which are failed to be matched, and triggering order circulation again after the order data is recovered or corrected.
As shown in fig. 4, in order to supplement the system for detecting and processing abnormal orders shown in fig. 3, the system for detecting and processing abnormal orders of the present invention further includes:
the updating module is used for adding the key features of the abnormal orders which fail to be matched in the automatic detection and processing module and the configuration data of the key features of the manual processing module into the automatic detection and processing module; therefore, real-time updating and learning of the automatic detection and processing module are realized, and the detection function of the automatic detection and processing module is more perfect.
As shown in fig. 5, the present invention provides a method for detecting and processing an abnormal order, including:
s1, order generation;
s1, order circulation; wherein, in the order process, an abnormal order is generated;
s3, automatically detecting abnormal orders and automatically processing the abnormal orders; after the processing is finished, the order circulation is triggered again; specifically, the method comprises the following steps:
as shown in fig. 8, the automatic detection and processing method includes:
before detection:
key features of abnormal orders frequently encountered by the order system and configuration data corresponding to the key features need to be added, and a processing mode corresponding to the abnormal orders can be called through the configuration data; the adding mode can be manual adding or large-amount learning training adding.
During detection:
1) detecting key features in the abnormal order; the abnormal order detection mode is flexible, and keywords in the abnormal order can be detected; or detecting key features meeting the condition constraint in the abnormal order based on a condition detection mode.
2) Matching whether the configuration data of the abnormal order is stored or not in the automatic detection and processing module based on the detected key characteristics;
3) and if the matching is successful, calling a processing mode corresponding to the configuration data, and after the order data is recovered or corrected, re-triggering order circulation.
Example 1:
abnormal order information:
931100, errMsg, execution errors of insertion statement [ Ur _ PreDestroy _ Rd @ ordersvc.insert ] SqlMapClient operation, uncategorized SQ L Exception for SQ L [ ], SQ L state [72000 ]; error code [12899 ];
---The error occurred while applying a parameter map.
---Check the [email protected].
---Check the statement(update failed).
---Cause:java.sql.SQLException:ORA-12899:
column "DBOBTSADM". "UR _ PREDESTROY _ RD". "PHONE _ NO _ D" has too large a value (actual value: 49, maximum value: 40)
The detection conditions are as follows: containing error code [12899]
The detection logic: detecting abnormal order information, if the abnormal order information meets the detection condition, matching successfully, and executing the configured prefabricated follow-up action;
example 2:
abnormal order information:
the insert statement [ Ur _ UserBillMode _ Info @ ordersvc. insert ] performs an error SqlMapClientoperation;
---The error occurred while applying a parameter map.
---Check the [email protected].
---Check the statement(update failed).
- -Cause: java. sql. SQ L IntegrityConstraintViolarionException: ORA-00001: violation of unique constraint (DBOBTSADM. PK _ UR _ USErBI LL MODE _ INFO)
;nested exception is com.ibatis.common.jdbc.exception.NestedSQLException:
---The error occurred while applying a parameter map.
---Check the [email protected].
---Check the statement(update failed).
- -Cause: java. sql. SQ L IntegrityConstraintViolarionException: ORA-00001: violation of unique constraint (DBOBTSADM. PK _ UR _ USErBI LL MODE _ INFO)
The detection condition is that the detection condition comprises Ur _ UserBillMode _ Info @ ordersvc.insert and DBOBTSADM.PK _ UR _ USErBI LL MODE _ INFO
The detection logic: and detecting abnormal order information, if the detection conditions are met, matching is successful, and executing the configured prefabricated follow-up action.
S4, order filing.
As shown in fig. 6, in order to supplement the method for detecting and processing an abnormal order shown in fig. 5, the method for detecting and processing an abnormal order according to the present invention further includes:
and if the matching fails, manually processing the abnormal order, and after the order data is restored or corrected, re-triggering order circulation.
As shown in fig. 7, in order to supplement the method for detecting and processing an abnormal order shown in fig. 6, the method for detecting and processing an abnormal order according to the present invention further includes:
and adding the key features of the abnormal order with the failure matching and the configuration data corresponding to the key features into the database.
Further, in the processing system or the processing method shown in fig. 2 to fig. 7, the present invention adopts a cloud deployment, proposes at least 3 nodes, and concurrently processes 1000 pens/sec capability
The invention has the advantages that:
1. aiming at batch abnormal orders generated by online, misoperation, a system host, a network and the like, the invention can complete automatic detection and processing of the abnormal orders through configuration, has high processing efficiency and accuracy and lower processing risk;
2. the abnormal order detection of the invention can support multiple keywords and condition detection, and the detection mode is flexible.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A system for detecting and processing abnormal orders, comprising:
the order generation module is used for generating an order;
the order circulation module is used for completing order production according to order flow configuration; in the process, an abnormal order is generated;
the order filing module is used for filing the order which is produced;
it is characterized by also comprising:
an automatic detection and processing module for:
detecting key features in the abnormal order;
matching whether the configuration data of the abnormal order is stored or not based on the key characteristics;
if the matching is successful, calling a processing mode corresponding to the configuration data, and after the order data is recovered or corrected, re-triggering order circulation.
2. The inspection processing system of claim 1, wherein said inspecting key features in said exception order comprises:
detecting keywords in the abnormal order; or the like, or, alternatively,
and detecting key features which meet conditional constraints in the abnormal order based on a condition detection mode.
3. The inspection processing system of claim 1, wherein the automated inspection and processing module, prior to inspection, is to:
and adding the key features of the abnormal order and the configuration data corresponding to the key features.
4. The inspection processing system of claim 1, further comprising:
and the manual processing module is used for manually processing the abnormal orders which are failed to be matched, and after the order data are recovered or corrected, the order circulation is triggered again.
5. The inspection processing system of claim 4, further comprising:
and the updating module is used for adding the key features of the abnormal order with failure matching and the configuration data corresponding to the key features into the automatic detection and processing module.
6. A method for detecting and processing abnormal orders comprises the following steps:
generating an order;
transferring an order;
filing orders;
it is characterized by also comprising:
detecting key characteristics of an abnormal order generated in the order circulation process;
matching whether configuration data of the abnormal order is stored in a database or not based on the key features;
if the matching is successful, calling a processing mode corresponding to the configuration data, and after the order data is recovered or corrected, re-triggering order circulation.
7. The inspection process of claim 6, wherein said inspecting key features in said exception order comprises:
detecting keywords in the abnormal order; or the like, or, alternatively,
and detecting key features which meet conditional constraints in the abnormal order based on a condition detection mode.
8. The inspection process of claim 6 wherein prior to abnormal order inspection:
adding key features of abnormal orders and configuration data corresponding to the key features into a database.
9. The detection processing method of claim 6, further comprising:
and if the matching fails, manually processing the abnormal order, and after the order data is recovered or corrected, re-triggering order circulation.
10. The detection processing method of claim 9, further comprising:
and adding the key features of the abnormal orders with failed matching and the configuration data corresponding to the key features into the database.
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Application publication date: 20200728 |