CN114124758B - Flow monitoring method and device - Google Patents

Flow monitoring method and device Download PDF

Info

Publication number
CN114124758B
CN114124758B CN202111266625.9A CN202111266625A CN114124758B CN 114124758 B CN114124758 B CN 114124758B CN 202111266625 A CN202111266625 A CN 202111266625A CN 114124758 B CN114124758 B CN 114124758B
Authority
CN
China
Prior art keywords
information
target
service
order information
flow data
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.)
Active
Application number
CN202111266625.9A
Other languages
Chinese (zh)
Other versions
CN114124758A (en
Inventor
郭瑜杰
叶孝杰
刘俊
郝玉杰
许琦
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhuhai Dahengqin Technology Development Co Ltd
Original Assignee
Zhuhai Dahengqin Technology Development Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhuhai Dahengqin Technology Development Co Ltd filed Critical Zhuhai Dahengqin Technology Development Co Ltd
Priority to CN202111266625.9A priority Critical patent/CN114124758B/en
Publication of CN114124758A publication Critical patent/CN114124758A/en
Application granted granted Critical
Publication of CN114124758B publication Critical patent/CN114124758B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0876Network utilisation, e.g. volume of load or congestion level
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06Management of faults, events, alarms or notifications
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Environmental & Geological Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the invention provides a method and a device for monitoring flow, which are applied to an operation and maintenance platform, wherein the operation and maintenance platform is used for providing unified operation and maintenance services for a plurality of areas, and the method comprises the following steps: acquiring flow data information of a target service system; when detecting that the flow data information is in a high-level state, acquiring service information of a target service system, wherein the service information comprises service order information and service popularization information; determining target order information newly opened in preset time from service order information; judging whether the target order information is matched with the flow data information or not; when the target order information is not matched with the flow data information, judging whether the service promotion information has target promotion information associated with the target order information at preset time; and generating a first predictive warning of the target service system when the service promotion information is judged to have the target promotion information associated with the target order information at the preset time.

Description

Flow monitoring method and device
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and an apparatus for traffic monitoring.
Background
In the smart city construction process, when the smart city construction enters a rapid development and change stage, different technological industries and services need to be developed, so that the technical requirements of the smart city construction are increasingly strong and diversified characteristics are presented.
In order to meet the requirements of operation and maintenance services in smart city construction, a cross-domain operation and maintenance platform is required to be built, so that unified management of city operation and maintenance in different areas is realized.
In the smart city construction process, in the daily operation and maintenance working process, a corresponding monitoring mechanism can be set for the access quantity of the platform, for example, when the access quantity of the page is too large, an abnormal alarm can be triggered, but after the platform is newly added with a service or popularized, a transient condition of too large access quantity usually occurs, in the existing flow monitoring, the normal flow change cannot be checked, and then the abnormal alarm is triggered to interfere the daily operation and maintenance work of operation and maintenance personnel.
Disclosure of Invention
In view of the above, a method and apparatus for flow monitoring is presented to overcome or at least partially address the above, including:
a method for traffic monitoring applied to an operation and maintenance platform for providing unified operation and maintenance services for a plurality of areas, the method comprising:
acquiring flow data information of a target service system;
when the flow data information is detected to be in a high-level state, acquiring service information of the target service system, wherein the service information comprises service order information and service popularization information;
determining target order information newly opened in preset time from the service order information;
judging whether the target order information is matched with the flow data information or not;
when the target order information is not matched with the flow data information, judging whether the service promotion information has target promotion information associated with the target order information at preset time;
and generating a first predictive warning of the target service system when the service promotion information is judged to have the target promotion information associated with the target order information at the preset time.
Optionally, the determining whether the target order information matches the flow data information includes:
determining an order fluctuation range when the flow data information is in a high-level state;
judging whether the target order information is in the order fluctuation range or not;
when the target order information is in the order fluctuation range, determining that the target order information is matched with the flow data information;
and when the target order information is not in the order fluctuation range, determining that the target order information is not matched with the flow data information.
Optionally, the method further comprises:
acquiring performance information of the target service system when the service promotion information is judged to not have target promotion information associated with the target order information in the preset time;
and generating a performance alarm of the target service system based on the performance information.
Optionally, the method further comprises:
and generating a fault list of the target service system when the service promotion information is judged to not have the target promotion information associated with the target order information in the preset time, and processing the fault of the target service system according to the fault list.
Optionally, the method further comprises:
and generating a second predictive warning of the target business system when the target order information is judged to be matched with the flow data information.
Optionally, the method further comprises:
determining the promotion time of the target promotion information;
and adjusting a preset flow range of the high-level state in the popularization time based on the first predictive warning or the second predictive warning.
Optionally, the method further comprises:
and after the target popularization information is finished, adjusting a preset flow range corresponding to the high-level state according to order growth information of the target order information in the popularization time.
An apparatus for traffic monitoring applied to a cross-domain operation and maintenance platform for providing unified operation and maintenance services for a plurality of areas, the apparatus comprising:
the flow data information acquisition module is used for acquiring flow information of the target service system;
the service information acquisition module is used for acquiring service information of the target service system when the flow data information is detected to be in a high-level state, wherein the service information comprises service order information and service popularization information;
the target order information determining module is used for determining target order information newly opened in preset time from the service order information;
the target order information matching module is used for judging whether the target order information is matched with the flow data information or not;
the promotion information determining module is used for determining whether the business promotion information has target promotion information associated with the target order information at preset time when the target order information is not matched with the flow data information;
and the first predictive warning generation module is used for generating a first predictive warning when the business promotion information is judged to have the target promotion information associated with the target order information at the preset time.
A server comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, which when executed by the processor implements a method of traffic monitoring as described above.
A computer readable storage medium having stored thereon a computer program which when executed by a processor implements a method of flow monitoring as described above.
The embodiment of the invention has the following advantages:
according to the embodiment of the invention, through acquiring the flow data information of the target service system, further, the service information of the target service system can be acquired when the flow data information is detected to be in a high-level state, wherein the service information comprises service order information and service promotion information, and the target order information which is newly opened in the preset time can be determined in the service order information, further, whether the target order information is matched with the flow data information or not is judged, and when the target order information is not matched with the flow data information, whether the target promotion information associated with the target order information exists in the preset time is judged, further, when the target promotion information associated with the target order information exists in the preset time, the first premonition alarm of the target service system is generated, and the generation of premonition alarm aiming at the abnormal flow data in the service promotion process is realized, so that the interference to operation and maintenance personnel is avoided.
Drawings
In order to more clearly illustrate the technical solutions of the present invention, the drawings that are needed in the description of the present invention will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a flow chart illustrating steps of a method for flow monitoring according to an embodiment of the present invention;
FIG. 2 is a flow chart of steps of another method for flow monitoring according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an apparatus for flow monitoring according to an embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a flowchart illustrating steps of a method for traffic monitoring according to an embodiment of the present invention is applied to an operation and maintenance platform, where the operation and maintenance platform is configured to provide unified operation and maintenance services for a plurality of areas, and the method specifically may include the following steps:
step 101, obtaining flow data information of a target service system;
in an operation and maintenance platform (such as a cross-domain operation and maintenance platform), a target service system can be monitored in real time, and when the target service system is abnormal, an alarm can be timely given, so that the target service system can be quickly recovered.
In daily operation and maintenance, the cross-domain operation and maintenance platform can acquire the flow data information of the target service system to monitor the flow data information of the target service system, for example, detect the daily total access amount of the target service system or the access amount of the target service system at a specific moment to monitor the access amount of the target service system, and when the access amount is too large, abnormal access may exist.
102, acquiring service information of the target service system when the flow data information is detected to be in a high-level state, wherein the service information comprises service order information and service popularization information;
after acquiring the flow data information, the cross-domain operation and maintenance platform can determine whether the flow data information reaches a preset high-level state, and when the current flow data information is determined to be in the high-level state, the service information of the target service system can be further acquired, wherein the service information is used for checking whether the current flow data information is in the high-level state and is fluctuation occurring in the normal operation process of the service, and the service information can comprise service order information and service popularization information.
Step 103, determining newly opened target order information in preset time from the service order information;
when there is a new service order or the service promotion period is currently in progress, the traffic data information is increased to belong to normal traffic data fluctuation. Thus, after the service data is acquired, the newly opened target order information can be determined first so as to determine the influence of the target order information on the service data.
104, judging whether the target order information is matched with the flow data information;
after determining the target order information, it may be determined whether the newly opened target order information matches the traffic data information to determine whether the traffic data information reaches a high level state due to the newly opened target order information.
Step 105, when it is determined that the target order information is not matched with the flow data information, determining whether the service promotion information has target promotion information associated with the target order information at a preset time;
when the target order information is not matched with the flow data information, it can be determined that the flow data information is not caused by the newly opened target order information, and further it can be determined whether the service promotion information has target promotion information associated with the target order information at a preset time so as to determine whether promotion of related service exists recently, and the service promotion information is used for determining the influence of promotion on the flow data.
In an embodiment of the present invention, further includes:
and generating a second predictive warning of the target business system when the target order information is judged to be matched with the flow data information.
In practical application, when the target order information is judged to be matched with the flow data information, the flow data information can be determined to be caused by the newly opened target order information, so that a second predictive warning of the target service system can be generated to remind operation and maintenance personnel, and the current flow data information is caused by the newly added service order without processing.
And step 106, when the business promotion information is judged to have the target promotion information associated with the target order information at the preset time, generating a first predictive warning of the target business system.
When it is determined that the service popularization information has the target popularization information associated with the target order information at the preset time, it can be determined that the service popularization exists recently, and the service popularization can cause the target service system to generate a first predictive warning of the target service system so as to remind operation and maintenance personnel, and the current traffic data information abnormality is caused by the service popularization and is not required to be processed.
In an example, when service promotion information exists, whether the service promotion information is matched with the flow data information or not may be determined, and when the service promotion information is matched with the flow data information, it may be determined that target promotion information associated with the target order information exists in the service promotion information at the preset time.
In an embodiment of the present invention, further includes:
step S11, when judging that the service promotion information does not have the target promotion information associated with the target order information in the preset time, acquiring the performance information of the target service system;
in practical application, when the service promotion information does not have the target promotion information associated with the target order information in the preset time, it can be determined that no service promotion exists currently, and the abnormal flow data information may be that the target service system has an abnormality, so that the performance information of the target service system can be obtained to check the performance abnormality.
And step S12, generating a performance alarm of the target service system based on the performance information.
After the performance information of the target service system is acquired, the abnormal reason of the target service information can be determined, so that performance alarm of the target service information is generated, and when the performance alarm occurs, operation and maintenance personnel are reminded to carry out system maintenance on the target service information according to the performance alarm.
In another embodiment of the present invention, further comprising:
and generating a fault list of the target service system when the service promotion information is judged to not have the target promotion information associated with the target order information in the preset time, and processing the fault of the target service system according to the fault list.
In practical application, when the service promotion information does not have the target promotion information associated with the target order information in the preset time, it can be determined that no service promotion exists currently, and the abnormal flow data information may be that the target service system has an abnormality, and a fault list of the target service system can be generated, so that the cross-domain operation and maintenance platform can process the fault of the target service system according to the fault list, and the target service system can be recovered quickly.
According to the embodiment of the invention, through acquiring the flow data information of the target service system, further, the service information of the target service system can be acquired when the flow data information is detected to be in a high-level state, wherein the service information comprises service order information and service promotion information, and the target order information which is newly opened in the preset time can be determined in the service order information, further, whether the target order information is matched with the flow data information or not is judged, and when the target order information is not matched with the flow data information, whether the target promotion information associated with the target order information exists in the preset time is judged, further, when the target promotion information associated with the target order information exists in the preset time, the first premonition alarm of the target service system is generated, and the generation of premonition alarm aiming at the abnormal flow data in the service promotion process is realized, so that the interference to operation and maintenance personnel is avoided.
Referring to fig. 2, a flowchart illustrating steps of another method for traffic monitoring according to an embodiment of the present invention is applied to an operation and maintenance platform, where the operation and maintenance platform is configured to provide unified operation and maintenance services for a plurality of areas, and may specifically include the following steps:
step 201, obtaining flow data information of a target service system;
in an operation and maintenance platform (such as a cross-domain operation and maintenance platform), a target service system can be monitored in real time, and when the target service system is abnormal, an alarm can be timely given, so that the target service system can be quickly recovered.
In daily operation and maintenance, the operation and maintenance platform can acquire the flow data information of the target service system to monitor the flow data information of the target service system, for example, detect the daily total access amount of the target service system or the access amount of the target service system at a specific moment to monitor the access amount of the target service system, and when the access amount is too large, abnormal access may exist.
Step 202, when the flow data information is detected to be in a high-level state, acquiring service information of the target service system, wherein the service information comprises service order information and service popularization information;
after acquiring the flow data information, the operation and maintenance platform can determine whether the flow data information reaches a preset high-level state, and when the current flow data information is determined to be in the high-level state, the operation and maintenance platform can further acquire the service information of the target service system, wherein the service information can comprise service order information and service popularization information.
Step 203, determining newly opened target order information in a preset time from the service order information;
when there is a new service order or the service promotion period is currently in progress, the flow data information is increased and belongs to normal data fluctuation. Thus, after the service data is acquired, the newly opened target order information can be determined.
Step 204, determining an order fluctuation range when the flow data information is in a high-level state;
in the operation and maintenance platform, the order fluctuation range of the flow data information in a high-level state can be determined according to the historical order information and the historical flow data information, and the situation that the flow data information is in the high-level state under the condition of newly adding an order in the past is fully considered in the order fluctuation range.
Step 205, judging whether the target order information is within the order fluctuation range;
after determining the order range, it may be determined whether the target order information is within the order fluctuation range to determine whether the flow data information is in a high level state caused by the target order information.
Step 206, when the target order information is within the order fluctuation range, determining that the target order information is matched with the flow data information;
when the target order information is within the order fluctuation range, it can be determined that the target order information matches the flow data information, the fluctuation of the flow data information being due to the newly added order.
Step 207, when the target order information is not within the order fluctuation range, determining that the target order information does not match the flow data information.
When the target order information is not within the order fluctuation range, it can be determined that the target order information matches the flow data information, and the fluctuation of the flow data information is not caused by the newly added order.
Step 208, when it is determined that the target order information does not match the flow data information, determining whether the service promotion information has target promotion information associated with the target order information at a preset time;
when the target order information is not matched with the flow data information, it can be determined that the flow data information is not caused by the newly opened target order information, and further it can be determined whether the service promotion information has the target promotion information associated with the target order information at a preset time so as to determine whether the promotion of related services exists recently.
Step 209, when it is determined that the service promotion information has the target promotion information associated with the target order information at the preset time, generating a first predictive warning of the target service system.
When it is determined that the service popularization information has the target popularization information associated with the target order information at the preset time, it can be determined that the service popularization exists recently, and the service popularization causes the target service system to have the flow data information in a high-level state, so that a first predictive alarm of the target service system can be generated to remind operation and maintenance personnel, and the current flow data information abnormality is caused by the service popularization and is not required to be processed.
In an embodiment of the present invention, further includes:
determining the promotion time of the target promotion information; and adjusting a preset flow range of the high-level state in the popularization time based on the first predictive warning or the second predictive warning.
In practical application, the cross-domain operation and maintenance platform can also determine the promotion time of the target promotion information, including the start time and the end time, so that in order to avoid repeated occurrence of alarms, the preset flow range in the promotion time can be adjusted according to the predictive alarms.
For example, when the number of accesses reaches N1, it may be determined that the access amount is too high, when the access amount reaches M (M > N1), after the screening, it is determined that the service popularization is recently initiated, and the popularization time of the service popularization may be obtained, and in the popularization time, N1 is adjusted to N2 (N1 < N2), so as to avoid repeated occurrence of an alarm.
In an embodiment of the present invention, further includes:
and after the target popularization information is finished, adjusting a preset flow range corresponding to the high-level state according to order growth information of the target order information in the popularization time.
In practical application, during normal service promotion, flow data information fluctuates greatly, a high-level state is easy to appear, and after promotion is finished, if promotion is effective, a subsequent order will be increased, so that flow data information can be increased to some extent compared with that before promotion, and therefore, a preset flow range can be properly adjusted after promotion is finished.
According to the embodiment of the invention, by acquiring the flow data information of the target service system, when the reason that the flow data information is in a high-level state is determined to be service popularization, the first predictive warning of the target service system can be generated, so that the predictive warning is generated aiming at the abnormal flow data in the service popularization process, and the interference to operation and maintenance personnel is avoided.
It should be noted that, for simplicity of description, the method embodiments are shown as a series of acts, but it should be understood by those skilled in the art that the embodiments are not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred embodiments, and that the acts are not necessarily required by the embodiments of the invention.
Referring to fig. 3, a schematic structural diagram of a flow monitoring device according to an embodiment of the present invention is applied to an operation and maintenance platform, where the operation and maintenance platform is configured to provide unified operation and maintenance services for a plurality of areas, and may specifically include the following modules:
a flow data information obtaining module 301, configured to obtain flow information of a target service system;
a service information obtaining module 302, configured to obtain service information of the target service system when detecting that the traffic data information is in a high level state, where the service information includes service order information and service promotion information;
a target order information determining module 303, configured to determine target order information that is newly opened in a preset time from the service order information;
a target order information matching module 304, configured to determine whether the target order information is matched with the flow data information;
a promotion information determining module 305, configured to determine whether the service promotion information has target promotion information associated with the target order information at a preset time when it is determined that the target order information does not match the flow data information;
and the first prophetic alarm generating module 306 is configured to generate a first prophetic alarm when it is determined that the service popularization information has target popularization information associated with the target order information at the preset time.
In an embodiment of the present invention, the target order information matching module 304 may include:
an order fluctuation range determination submodule for determining an order fluctuation range when the flow data information is in a high-level state;
the judging sub-module is used for judging whether the target order information is in the order fluctuation range or not;
a matching sub-module, configured to determine that the target order information matches the flow data information when the target order information is within the order fluctuation range;
and the unmatched sub-module is used for determining that the target order information is unmatched with the flow data information when the target order information is not in the order fluctuation range.
In one embodiment of the invention, the apparatus comprises:
the performance information determining module is used for acquiring the performance information of the target service system when the service promotion information is judged to not have the target promotion information associated with the target order information in the preset time;
and the performance alarm module is used for generating the performance alarm of the target service system based on the performance information.
In an embodiment of the present invention, the apparatus may further include:
and the fault processing module is used for generating a fault list of the target service system when the service promotion information is judged to not have the target promotion information associated with the target order information in the preset time, and processing the fault of the target service system according to the fault list.
In an embodiment of the present invention, the apparatus may further include:
and the second precursor alarm generating module is used for generating a second precursor alarm of the target service system when the target order information is judged to be matched with the flow data information.
In an embodiment of the present invention, the apparatus may further include:
the promotion time determining module is used for determining the promotion time of the target promotion information;
and the first flow range adjusting module is used for adjusting the preset flow range of the high-level state in the popularization time based on the first predictive warning or the second predictive warning.
In an embodiment of the present invention, the apparatus may further include:
and the second flow range adjusting module is used for adjusting the preset flow range corresponding to the high-level state according to the order growth information of the target order information in the promotion time after the target promotion information is ended.
According to the embodiment of the invention, through acquiring the flow data information of the target service system, further, the service information of the target service system can be acquired when the flow data information is detected to be in a high-level state, wherein the service information comprises service order information and service promotion information, and the target order information which is newly opened in the preset time can be determined in the service order information, further, whether the target order information is matched with the flow data information or not is judged, and when the target order information is not matched with the flow data information, whether the target promotion information associated with the target order information exists in the preset time is judged, further, when the target promotion information associated with the target order information exists in the preset time, the first premonition alarm of the target service system is generated, and the generation of premonition alarm aiming at the abnormal flow data in the service promotion process is realized, so that the interference to operation and maintenance personnel is avoided.
An embodiment of the present invention also provides a server, which may include a processor, a memory, and a computer program stored on the memory and capable of running on the processor, where the computer program implements the method for traffic monitoring as described above when executed by the processor.
An embodiment of the present invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements a method for traffic monitoring as above.
For the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
It will be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of 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, embodiments of the invention may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, 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.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal 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 terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.
The foregoing has outlined rather broadly the more detailed description of a method and apparatus for flow monitoring that uses specific examples to illustrate the principles and embodiments of the present invention, the description of the examples above being provided solely to facilitate the understanding of the method and core concepts of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.

Claims (9)

1. A method for traffic monitoring, applied to an operation and maintenance platform, the operation and maintenance platform being configured to provide a unified operation and maintenance service for a plurality of areas, the method comprising:
acquiring flow data information of a target service system;
when the flow data information is detected to be in a high-level state, acquiring service information of the target service system, wherein the service information comprises service order information and service popularization information;
determining target order information newly opened in preset time from the service order information;
judging whether the target order information is matched with the flow data information or not;
when the target order information is not matched with the flow data information, judging whether the service promotion information has target promotion information associated with the target order information at preset time;
generating a first predictive warning of the target service system when the service promotion information is judged to have target promotion information associated with the target order information at the preset time;
and generating a second predictive warning of the target business system when the target order information is judged to be matched with the flow data information.
2. The method of claim 1, wherein said determining whether said target order information matches said flow data information comprises:
determining an order fluctuation range when the flow data information is in a high-level state;
judging whether the target order information is in the order fluctuation range or not;
when the target order information is in the order fluctuation range, determining that the target order information is matched with the flow data information;
and when the target order information is not in the order fluctuation range, determining that the target order information is not matched with the flow data information.
3. The method as recited in claim 1, further comprising:
acquiring performance information of the target service system when the service promotion information is judged to not have target promotion information associated with the target order information in the preset time;
and generating a performance alarm of the target service system based on the performance information.
4. The method according to claim 1 or 2, further comprising:
and generating a fault list of the target service system when the service promotion information is judged to not have the target promotion information associated with the target order information in the preset time, and processing the fault of the target service system according to the fault list.
5. The method according to claim 1 or 2, further comprising:
determining the promotion time of the target promotion information;
and adjusting a preset flow range of the high-level state in the popularization time based on the first predictive warning or the second predictive warning.
6. The method as recited in claim 5, further comprising:
and after the target popularization information is finished, adjusting a preset flow range corresponding to the high-level state according to order growth information of the target order information in the popularization time.
7. An apparatus for traffic monitoring, applied to an operation and maintenance platform, the operation and maintenance platform configured to provide a unified operation and maintenance service for a plurality of areas, the apparatus comprising:
the flow data information acquisition module is used for acquiring flow data information of the target service system;
the service information acquisition module is used for acquiring service information of the target service system when the flow data information is detected to be in a high-level state, wherein the service information comprises service order information and service popularization information;
the target order information determining module is used for determining target order information newly opened in preset time from the service order information;
the target order information matching module is used for judging whether the target order information is matched with the flow data information or not;
the promotion information determining module is used for determining whether the business promotion information has target promotion information associated with the target order information at preset time when the target order information is not matched with the flow data information;
the first precursor alarm generation module is used for generating a first precursor alarm when the business promotion information is judged to have target promotion information associated with the target order information at the preset time;
and the second precursor alarm generating module is used for generating a second precursor alarm of the target service system when the target order information is judged to be matched with the flow data information.
8. A server comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, which when executed by the processor implements the method of flow monitoring as claimed in any one of claims 1 to 6.
9. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements a method of flow monitoring according to any of claims 1 to 6.
CN202111266625.9A 2021-10-28 2021-10-28 Flow monitoring method and device Active CN114124758B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111266625.9A CN114124758B (en) 2021-10-28 2021-10-28 Flow monitoring method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111266625.9A CN114124758B (en) 2021-10-28 2021-10-28 Flow monitoring method and device

Publications (2)

Publication Number Publication Date
CN114124758A CN114124758A (en) 2022-03-01
CN114124758B true CN114124758B (en) 2023-06-06

Family

ID=80377415

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111266625.9A Active CN114124758B (en) 2021-10-28 2021-10-28 Flow monitoring method and device

Country Status (1)

Country Link
CN (1) CN114124758B (en)

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100384180C (en) * 1999-06-30 2008-04-23 倾向探测公司 Method and apparatus for monitoring traffic in network
US7574382B1 (en) * 2004-08-03 2009-08-11 Amazon Technologies, Inc. Automated detection of anomalous user activity associated with specific items in an electronic catalog
CN107592236A (en) * 2016-07-07 2018-01-16 北京奇虎科技有限公司 The monitoring method and device of a kind of related business datum of promotion message
CN113516529B (en) * 2021-04-26 2024-03-26 新东方教育科技集团有限公司 Abnormal order determining method and device, storage medium and electronic equipment

Also Published As

Publication number Publication date
CN114124758A (en) 2022-03-01

Similar Documents

Publication Publication Date Title
CN110874674B (en) Abnormality detection method, device and equipment
CN110247725B (en) Line fault troubleshooting method and device for OTN (optical transport network) and terminal equipment
CN108306846B (en) Network access abnormity detection method and system
CN110363381B (en) Information processing method and device
CN114116396A (en) Full link tracking method, system, storage medium and equipment
CN112148561A (en) Service system running state prediction method and device and server
CN114443441B (en) Storage system management method, device and equipment and readable storage medium
CN114124758B (en) Flow monitoring method and device
CN111949421B (en) SDK calling method, device, electronic equipment and computer readable storage medium
CN104104666A (en) Method of detecting abnormal cloud service and device
CN112737120B (en) Regional power grid control report generation method and device and computer equipment
CN115774646A (en) Process early warning method and device, electronic equipment and storage medium
CN116416764A (en) Alarm threshold generation method and device, electronic equipment and storage medium
CN111222928A (en) Method and system for monitoring enterprise standard invoicing
CN113837703B (en) Automatic check method for quantitative weight prevention of logistics waybill carrying information in real time
CN110990449A (en) Time series processing method, device, storage medium and processor
CN110750418B (en) Information processing method, electronic equipment and information processing system
CN114579347B (en) Page abnormity detection method and device, computer equipment and readable storage medium
CN114118705A (en) Equipment alarm method and device
CN116433197B (en) Information reporting method, device, reporting end and storage medium
CN110633311B (en) Data processing method, device and storage medium
CN109408325B (en) Method and device for performing alarm operation
CN117494983A (en) Work order pairing method and device based on RPA and readable storage medium
CN117130876A (en) Alarm method, device, equipment and storage medium for abnormal software
CN117761448A (en) Line abnormal fault judging method and system

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
GR01 Patent grant
GR01 Patent grant