CN116483611A - Cross-level distributed abnormal data identification and processing system - Google Patents
Cross-level distributed abnormal data identification and processing system Download PDFInfo
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- CN116483611A CN116483611A CN202310713589.9A CN202310713589A CN116483611A CN 116483611 A CN116483611 A CN 116483611A CN 202310713589 A CN202310713589 A CN 202310713589A CN 116483611 A CN116483611 A CN 116483611A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- 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
- G06F11/079—Root cause analysis, i.e. error or fault diagnosis
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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Abstract
The invention provides a cross-level distributed abnormal data identification and processing system, which comprises: the first data platform, the plurality of second data platforms, the processor and the memory storing the computer program, when the computer program is executed by the processor, the following steps are realized: the first data platform acquires an initial event data set sent by the second data platform; the first data platform performs text analysis processing on each initial event data and identifies an abnormal data set corresponding to the initial event data set; the first data platform sends the abnormal identification group corresponding to each abnormal data to the second data platform; the second data platform acquires the abnormal data corresponding to the abnormal identification groups from the first data platform according to each abnormal identification group; the second data platform processes the abnormal data to obtain target event data; the invention can reduce the interaction process of data, avoid the return of a large amount of data at the same time, save time and improve efficiency.
Description
Technical Field
The present invention relates to the field of data transmission technologies, and in particular, to a cross-level distributed abnormal data identification and processing system.
Background
At present, when a large number of files are transmitted between two platforms of different grades, file errors or file content errors are generated, and in the case, the files need to be retransmitted to the platform of a lower grade for processing and then uploaded, so that the conditions of occupying resources and wasting time are generated.
Disclosure of Invention
Aiming at the technical problems, the invention adopts the following technical scheme: a cross-level distributed exception data identification and processing system, the system comprising: the system comprises a first data platform, a plurality of second data platforms, a processor and a memory storing a computer program, wherein the priority of the first data platform is greater than that of each second data platform, and when the computer program is executed by the processor, the following steps are realized:
s100, when the first data platform receives a data transmission request of each second data platform, the first data platform acquires an initial event data set sent by the second data platform, wherein the initial event data set comprises a plurality of initial event data.
S200, the first data platform performs text analysis processing on each initial event data, identifies an abnormal data set corresponding to the initial event data set and stores the abnormal data set in the first data platform, wherein the abnormal data set comprises a plurality of abnormal data.
S300, the first data platform sends the abnormal identification group corresponding to each abnormal data to the second data platform corresponding to the abnormal data.
S400, when the first data platform receives the target event data sent by the second data platform, storing the target event data in the first data platform, wherein the step S400 further comprises the following steps:
and the second data platform acquires the abnormal data corresponding to the abnormal identification groups from the first data platform according to each abnormal identification group.
The second data platform processes the abnormal data, obtains target event data and sends the target event data to the first data platform.
The invention provides a cross-level distributed abnormal data identification and processing system, which comprises: the system comprises a first data platform, a plurality of second data platforms, a processor and a memory storing a computer program, wherein the priority of the first data platform is greater than that of each second data platform, and when the computer program is executed by the processor, the following steps are realized: when the first data platform receives a data transmission request of each second data platform, the first data platform acquires an initial event data set sent by the second data platform, wherein the initial event data set comprises a plurality of initial event data; the first data platform performs text analysis processing on each initial event data, identifies an abnormal data set corresponding to the initial event data set and stores the abnormal data set in the first data platform, wherein the abnormal data set comprises a plurality of abnormal data; the first data platform sends an abnormal identification group corresponding to each abnormal data to the second data platform corresponding to the abnormal data; the second data platform obtains the abnormal data corresponding to the abnormal identification groups from the first data platform according to each abnormal identification group; the second data platform processes the abnormal data, acquires target event data and sends the target event data to the first data platform; it can be known that the identifier corresponding to the abnormal data with the abnormal data file error or the file content error can be sent to the lower priority platform, and the lower priority platform extracts the abnormal data through the identifier and processes the abnormal data and then resends the abnormal data to the high priority platform, so that the interaction process of the data is reduced, the return of a large amount of data is avoided, the time is saved, and the efficiency is improved.
The foregoing description is only an overview of the present invention, and it is to be understood that the present invention may be embodied in the form of specific details, for the purpose of providing a more thorough understanding of the present invention, and for the purpose of providing a more complete understanding of the present invention, as well as the above-described and other objects, features and advantages of the present invention, and is described in detail below with reference to the accompanying drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a computer program executed by a cross-level distributed exception data identification and processing system according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present invention based on the embodiments of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The present implementation provides a cross-level distributed exception data identification and processing system, the system comprising: the system comprises a first data platform, a plurality of second data platforms, a processor and a memory storing a computer program, wherein the priority of the first data platform is higher than that of each second data platform, and when the computer program is executed by the processor, the following steps are realized, as shown in fig. 1:
s100, when the first data platform receives a data transmission request of each second data platform, the first data platform acquires an initial event data set sent by the second data platform, wherein the initial event data set comprises a plurality of initial event data, and each initial event data comprises a plurality of texts describing an event corresponding to the initial event.
Specifically, the first data platform is communicatively connected to each of the second data platforms, and the first data platform may monitor each of the second data platforms.
Further, the second data platform comprises a first type second data platform and a second type second data platform, wherein the priority of the first type second data platform is higher than that of the second type second data platform, and the first type second data platform can monitor a plurality of second type second data platforms corresponding to the first type second data platform.
S200, the first data platform performs text analysis processing on each initial event data, identifies an abnormal data set corresponding to the initial event data set and stores the abnormal data set in the first data platform, wherein the abnormal data set comprises a plurality of abnormal data.
Specifically, in step S200, the abnormal data is also identified by:
s201, acquiring a text of a single descriptive event corresponding to any initial event;
s203, when the text name of the text of the single description event corresponding to the initial event is equal to A i When the corresponding text names are consistent, the text name is displayed by A i Text analysis processing is carried out on the text of the single description event corresponding to the initial event;
s205, when the text analysis processing result is that the text is free of abnormal results, storing an initial event data set in a first storage area in the first data platform, wherein the initial event data set can be understood as: the first storage area is used for storing event data without abnormal results in the initial event data set;
s207, when the result of the text analysis processing is that one abnormal result exists in the text, the initial event data set is used as an abnormal data set and is stored in a second storage area in the first data platform, and the second storage area is used for storing event data with the abnormal result in the initial event data set.
Further, through A i The text analysis processing of the text of the single descriptive event corresponding to the initial event comprises the following steps: text analysis processing based on keyword rules, text analysis processing based on the number of texts of a single descriptive event, text analysis processing based on time rules: it can be understood that: acquiring the initial event correspondence from a preset keyword rule baseAccording to the keyword insertion rule corresponding to the text of the single descriptive event, acquiring a corresponding keyword list from the text of the single descriptive event corresponding to the initial event, and determining that the text analysis processing result is an abnormal result when any keyword in the keyword list is an abnormal keyword or the number of keywords in the keyword list is smaller than a keyword threshold corresponding to the keyword insertion rule; meanwhile, in a preset time period, when the text quantity of all the single description events is inconsistent with the event quantity of all the single description events, determining that the text analysis processing result is an abnormal result; meanwhile, according to the event attribute of the single description event, a preset text time threshold corresponding to the event attribute consistent with the event attribute of the single description event is obtained from a preset event text time library, and when the text quantity of the single description event is inconsistent with the corresponding preset text time threshold, the result of text analysis processing is determined to be an abnormal result.
Further, the abnormal keyword is a word inconsistent with the attribute of the keyword specified by the keyword insertion rule, where, for example, the attribute of the keyword is part of speech, word length, and the like.
Further, the preset text quantity threshold corresponding to the event attribute is preset by a person skilled in the art, for example, the event attribute is a transaction object event or the like.
According to the method, the abnormal results of the text can be identified through the results of the text analysis processing and fed back to the second data platform, so that the lower priority platform accurately extracts abnormal data and the abnormal results thereof through the identification and resends the abnormal data to the high priority platform after processing the abnormal data, the interaction process of the data is further reduced, the return of a large amount of data is avoided, the time is saved, and the efficiency is improved.
S300, the first data platform sends the abnormal identification group corresponding to each abnormal data to the second data platform corresponding to the abnormal data.
Specifically, the anomaly identification group includes a first anomaly identification code and a second anomaly identification code.
Specifically, the step S300 further includes the following steps:
s301, when the second data platform acquires any first abnormal identification code, the second data platform initiates a first acquisition request of abnormal data to the first data platform through the first abnormal identification code;
s302, when the attribution identifier of the second data platform is inconsistent with the attribution identifier of the first abnormal identifier code in the abnormal data acquisition request, the second data platform receives authentication failure information sent by the first data platform, wherein the authentication failure information represents that the second data platform cannot acquire abnormal data;
s303, when the attribution identifier of the second data platform is consistent with the attribution identifier of the first abnormal identifier code in the abnormal data acquisition request, the second data platform receives authentication success information sent by the first data platform, wherein the authentication success information characterizes that the second data platform can acquire abnormal data.
Further, in step S303, the method further includes the following steps:
s3031, when the second data platform receives authentication success information sent by the first data platform, the second data platform initiates a second acquisition request for acquiring abnormal data to the first data platform through a second abnormal identification code;
s3032, the second data platform acquires the associated information and the abnormal data of the abnormal data corresponding to the second abnormal identification code through the second abnormal identification code.
Specifically, the first abnormal identification code is characterized as a second data platform identification of uploading any abnormal data.
Specifically, the second abnormal identification code is characterized as an identification of any abnormal data.
S400, when the first data platform receives the target event data sent by the second data platform, storing the target event data in the first data platform, wherein the step S400 further comprises the following steps:
the second data platform obtains the abnormal data corresponding to the abnormal identification groups from the first data platform according to each abnormal identification group;
the second data platform processes the abnormal data, obtains target event data and sends the target event data to the first data platform.
The embodiment provides a cross-level distributed abnormal data identification and processing system, which comprises: the system comprises a first data platform, a plurality of second data platforms, a processor and a memory storing a computer program, wherein the priority of the first data platform is greater than that of each second data platform, and when the computer program is executed by the processor, the following steps are realized: when the first data platform receives a data transmission request of each second data platform, the first data platform acquires an initial event data set sent by the second data platform, wherein the initial event data set comprises a plurality of initial event data; the first data platform performs text analysis processing on each initial event data, identifies an abnormal data set corresponding to the initial event data set and stores the abnormal data set in the first data platform, wherein the abnormal data set comprises a plurality of abnormal data; the first data platform sends an abnormal identification group corresponding to each abnormal data to the second data platform corresponding to the abnormal data; the second data platform obtains the abnormal data corresponding to the abnormal identification groups from the first data platform according to each abnormal identification group; the second data platform processes the abnormal data, acquires target event data and sends the target event data to the first data platform; it can be known that the identifier corresponding to the abnormal data with the abnormal data file error or the file content error can be sent to the lower priority platform, and the lower priority platform extracts the abnormal data through the identifier and processes the abnormal data and then resends the abnormal data to the high priority platform, so that the interaction process of the data is reduced, the return of a large amount of data is avoided, the time is saved, and the efficiency is improved.
While certain specific embodiments of the invention have been described in detail by way of example, it will be appreciated by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the invention. Those skilled in the art will also appreciate that many modifications may be made to the embodiments without departing from the scope and spirit of the invention. The scope of the present disclosure is defined by the appended claims.
Claims (10)
1. A cross-level distributed exception data identification and processing system, the system comprising: the system comprises a first data platform, a plurality of second data platforms, a processor and a memory storing a computer program, wherein the priority of the first data platform is greater than that of each second data platform, and when the computer program is executed by the processor, the following steps are realized:
s100, when the first data platform receives a data transmission request of each second data platform, the first data platform acquires an initial event data set sent by the second data platform, wherein the initial event data set comprises a plurality of initial event data;
s200, the first data platform performs text analysis processing on each initial event data, identifies an abnormal data set corresponding to the initial event data set and stores the abnormal data set in the first data platform, wherein the abnormal data set comprises a plurality of abnormal data;
s300, the first data platform sends an abnormal identification group corresponding to each abnormal data to the second data platform corresponding to the abnormal data;
s400, when the first data platform receives the target event data sent by the second data platform, storing the target event data in the first data platform, wherein the step S400 further comprises the following steps:
the second data platform obtains the abnormal data corresponding to the abnormal identification groups from the first data platform according to each abnormal identification group;
the second data platform processes the abnormal data, obtains target event data and sends the target event data to the first data platform.
2. The cross-level distributed exception data recognition and processing system of claim 1, wherein the first data platform is communicatively coupled to each of the second data platforms and the first data platform is capable of monitoring each of the second data platforms.
3. The cross-level distributed exception data recognition and processing system of claim 2, wherein the second data platform comprises a first type of second data platform and a second type of second data platform, wherein the first type of second data platform has a priority greater than the second type of second data platform and the first type of second data platform can monitor a number of the second type of second data platforms corresponding to the first type of second data platform.
4. The cross-level distributed exception data recognition and processing system of claim 1, further comprising a preset text rule set a= { a 1 ，A 2 ，……，A i ，……，A m }，A i And (3) a preset rule list corresponding to the ith text name, wherein i= … … m and m are the preset number of the text names in the system.
5. The cross-level distributed exception data identification and handling system of claim 4, wherein in step S200 the exception data is also identified by:
s201, acquiring a text of a single descriptive event corresponding to any initial event;
s203, when the text name of the text of the single description event corresponding to the initial event is equal to A i When the corresponding text names are consistent, the text name is displayed by A i For the list corresponding to the initial eventText analysis processing is carried out on texts of the descriptive events;
s205, when the text analysis processing result is that the text is free of abnormal results, storing an initial event data set in a first storage area in the first data platform, wherein the initial event data set can be understood as: the first storage area is used for storing event data without abnormal results in the initial event data set;
s207, when the result of the text analysis processing is that one abnormal result exists in the text, the initial event data set is used as an abnormal data set and is stored in a second storage area in the first data platform, and the second storage area is used for storing event data with the abnormal result in the initial event data set.
6. The cross-level distributed exception data identification and handling system of claim 1, wherein the set of exception identifications comprises a first exception identification code and a second exception identification code.
7. The cross-level distributed exception data recognition and processing system of claim 6, further comprising the step of, in step S300:
s301, when the second data platform acquires any first abnormal identification code, the second data platform initiates a first acquisition request of abnormal data to the first data platform through the first abnormal identification code;
s302, when the attribution identifier of the second data platform is inconsistent with the attribution identifier of the first abnormal identifier code in the abnormal data acquisition request, the second data platform receives authentication failure information sent by the first data platform, wherein the authentication failure information represents that the second data platform cannot acquire abnormal data;
s303, when the attribution identifier of the second data platform is consistent with the attribution identifier of the first abnormal identifier code in the abnormal data acquisition request, the second data platform receives authentication success information sent by the first data platform, wherein the authentication success information characterizes that the second data platform can acquire abnormal data.
8. The cross-level distributed exception data recognition and processing system of claim 7, further comprising the step of, in step S303:
s3031, when the second data platform receives authentication success information sent by the first data platform, the second data platform initiates a second acquisition request for acquiring abnormal data to the first data platform through a second abnormal identification code;
s3032, the second data platform acquires the associated information and the abnormal data of the abnormal data corresponding to the second abnormal identification code through the second abnormal identification code.
9. The cross-level distributed exception data identification and processing system of any of claims 6-8 wherein,
the first anomaly identification code is characterized as a second data platform identification of any uploading of anomaly data.
10. The cross-level distributed exception data recognition and processing system of claim 9,
the second anomaly identification code is characterized as an identification of any anomaly data.
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| US5724503A (en) * | 1995-03-31 | 1998-03-03 | Sun Microsystems, Inc. | Method and apparatus for interpreting exceptions in a distributed object system |
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