CN111459701A - Abnormal order detection processing system and method - Google Patents
Abnormal order detection processing system and method Download PDFInfo
- Publication number
- CN111459701A CN111459701A CN202010266992.8A CN202010266992A CN111459701A CN 111459701 A CN111459701 A CN 111459701A CN 202010266992 A CN202010266992 A CN 202010266992A CN 111459701 A CN111459701 A CN 111459701A
- Authority
- CN
- China
- Prior art keywords
- order
- abnormal
- processing
- key features
- detecting
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000002159 abnormal effect Effects 0.000 title claims abstract description 117
- 238000012545 processing Methods 0.000 title claims abstract description 86
- 238000001514 detection method Methods 0.000 title claims abstract description 61
- 238000000034 method Methods 0.000 title claims abstract description 38
- 230000008569 process Effects 0.000 claims abstract description 15
- 238000003672 processing method Methods 0.000 claims description 6
- 238000004519 manufacturing process Methods 0.000 claims description 5
- 230000001960 triggered effect Effects 0.000 claims description 5
- 238000007689 inspection Methods 0.000 claims 9
- 230000006872 improvement Effects 0.000 description 9
- 230000009471 action Effects 0.000 description 4
- 239000013589 supplement Substances 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000003780 insertion Methods 0.000 description 2
- 230000037431 insertion Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000011084 recovery Methods 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- 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
- G06F11/0793—Remedial or corrective actions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- 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
- G06F11/0751—Error or fault detection not based on redundancy
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010266992.8A CN111459701A (en) | 2020-04-07 | 2020-04-07 | Abnormal order detection processing system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010266992.8A CN111459701A (en) | 2020-04-07 | 2020-04-07 | Abnormal order detection processing system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111459701A true CN111459701A (en) | 2020-07-28 |
Family
ID=71685920
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010266992.8A Pending CN111459701A (en) | 2020-04-07 | 2020-04-07 | Abnormal order detection processing system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111459701A (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104156863A (en) * | 2014-08-08 | 2014-11-19 | 携程计算机技术（上海）有限公司 | OTA website order processing system and method |
| CN105976164A (en) * | 2016-05-05 | 2016-09-28 | 北京思特奇信息技术股份有限公司 | Business data emergency switching system and processing method |
| CN106557955A (en) * | 2016-11-29 | 2017-04-05 | 流量海科技成都有限公司 | Net about car exception order recognition methodss and system |
| CN107316183A (en) * | 2017-07-06 | 2017-11-03 | 郑州云海信息技术有限公司 | Method and workflow engine that a kind of flow is created |
| WO2018103673A1 (en) * | 2016-12-07 | 2018-06-14 | 北京小度信息科技有限公司 | Information display method, order marking method, abnormal order processing method and apparatus |
| CN109285056A (en) * | 2018-09-28 | 2019-01-29 | 江苏满运软件科技有限公司 | A kind of processing method and system of exception order |
| CN109949129A (en) * | 2019-03-12 | 2019-06-28 | 北京思特奇信息技术股份有限公司 | A kind of order processing system and method for high concurrent |
| CN110874778A (en) * | 2018-08-31 | 2020-03-10 | 阿里巴巴集团控股有限公司 | Abnormal order detection method and device |
| CN110930221A (en) * | 2019-11-18 | 2020-03-27 | 珠海格力电器股份有限公司 | Abnormal order processing method, storage medium and computer equipment |
-
2020
- 2020-04-07 CN CN202010266992.8A patent/CN111459701A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104156863A (en) * | 2014-08-08 | 2014-11-19 | 携程计算机技术（上海）有限公司 | OTA website order processing system and method |
| CN105976164A (en) * | 2016-05-05 | 2016-09-28 | 北京思特奇信息技术股份有限公司 | Business data emergency switching system and processing method |
| CN106557955A (en) * | 2016-11-29 | 2017-04-05 | 流量海科技成都有限公司 | Net about car exception order recognition methodss and system |
| WO2018103673A1 (en) * | 2016-12-07 | 2018-06-14 | 北京小度信息科技有限公司 | Information display method, order marking method, abnormal order processing method and apparatus |
| CN107316183A (en) * | 2017-07-06 | 2017-11-03 | 郑州云海信息技术有限公司 | Method and workflow engine that a kind of flow is created |
| CN110874778A (en) * | 2018-08-31 | 2020-03-10 | 阿里巴巴集团控股有限公司 | Abnormal order detection method and device |
| CN109285056A (en) * | 2018-09-28 | 2019-01-29 | 江苏满运软件科技有限公司 | A kind of processing method and system of exception order |
| CN109949129A (en) * | 2019-03-12 | 2019-06-28 | 北京思特奇信息技术股份有限公司 | A kind of order processing system and method for high concurrent |
| CN110930221A (en) * | 2019-11-18 | 2020-03-27 | 珠海格力电器股份有限公司 | Abnormal order processing method, storage medium and computer equipment |
Non-Patent Citations (1)
| Title |
|---|
| 王德权等: "汽车发动机装配线MES中的订单管理***", 《组合机床与自动化加工技术》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103678051B (en) | A kind of online failure tolerant method in company-data processing system | |
| CN105354239A (en) | Configuration data processing model based processing center data stream processing method | |
| CN106789741A (en) | The consuming method and device of message queue | |
| CN105787058B (en) | A kind of user tag system and the data delivery system based on user tag system | |
| CN106445618A (en) | Automatic database updating method | |
| CN108121774B (en) | Data table backup method and terminal equipment | |
| CN106155838A (en) | A kind of database back-up data restoration methods and device | |
| CN109918100B (en) | Repair recommendation method for version defects based on repair mode | |
| US20100023799A1 (en) | Determining correctness of job plans in a stream processing application | |
| CN111459701A (en) | Abnormal order detection processing system and method | |
| CN113177474A (en) | Method and system for automatically reading and inputting data based on RPA technology | |
| CN112765158A (en) | Data modification method and device of database and storage medium | |
| CN107590303A (en) | The quick method searched and correct abnormal graph in layout data | |
| CN112148713A (en) | Data migration method and device between heterogeneous databases | |
| JP2778798B2 (en) | Queue structure management processing method for control data | |
| CN109150596B (en) | SCADA system real-time data dump method and device | |
| CN109918231B (en) | Data reforming abnormity repairing method, device, equipment and storage medium | |
| CN113156898A (en) | Automatic processing method and system for processing station and storage medium | |
| CN105069078A (en) | Method and apparatus for processing failure in merging of increment index | |
| CN111984731A (en) | Method and device for synchronizing data among large data platform bins and storage medium | |
| CN110597609A (en) | Cluster migration and automatic recovery method and system | |
| JPS62121555A (en) | Management system for career information | |
| CN117451115B (en) | Real-time state monitoring method for sorting conveying system | |
| CN113704574B (en) | Address standardization method and device | |
| CN116643923A (en) | Data backup and recovery method and device, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200728 |