Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Dynamic monitoring and intelligent guide method

A dynamic monitoring and intelligent technology, applied in the field of business operation status monitoring and the guidance and processing of abnormal monitoring results, can solve problems such as a large number of manual operations and manual interventions, the inability of the early warning system to operate autonomously, and the inability to satisfy auditors.

Inactive Publication Date: 2013-01-30
HARBIN ENG UNIV
View PDF2 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Under the current basic business network audit mode, the early warning system cannot realize autonomous operation, requires a large number of manual operations and manual intervention, lacks dynamics and initiative, and cannot conduct real-time and all-round monitoring of the operating status of the business; the early warning system The results given cannot meet the needs of auditors. On the one hand, it can only meet the fixed presentation of specific monitoring indicators, and cannot achieve multi-dimensional early warning results for undefined monitoring indicators, macro monitoring indicators, and information system monitoring indicators. At the same time, the longitudinal comparison of the early warning results of the same monitoring indicator under different data batches is not realized; the second aspect is that the early warning results cannot be given policy explanations, and auditors have doubts about the system. There is no way to record; the third aspect is that it cannot be associated with the existing online audit system to further analyze the early warning results

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Dynamic monitoring and intelligent guide method
  • Dynamic monitoring and intelligent guide method
  • Dynamic monitoring and intelligent guide method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0104] lab environment:

[0105] Server environment: The server adopts Sugon A950 cluster, two nodes, CPU is AMD8354 processor, main frequency 2.0GHZ dual-core 8, 64G memory, hard disk capacity 1T, operating system is Windows2003 server Enterprise 64-bit version, database uses IBM DB29.164-bit Version.

[0106] Client environment: Windows XP operating system, Intel(R) Core(TM) 2Quad CPU Q8400, main frequency 2.66GHZ, 2G memory, JDK1.5.

[0107] Network environment: Audit Intranet of Heilongjiang Province.

example

[0108] Example: Active monitoring of average replacement rate monitoring indicators and realization of intelligent guidance

[0109] The rules are established as follows:

[0110] Rule 1:

[0111] Event: Get the replacement rate monitoring indicator signal, and the basic data is available

[0112]

[0113] Action: Send out an early warning signal, which will be processed by the intelligent guidance model;

[0114] Priority: 1

[0115] Concurrency: 0

[0116] Rule 2:

[0117] Event: Get the replacement rate monitoring indicator signal, and the basic data is available

[0118]

[0119]

[0120] Action: Send out an early warning signal, which will be processed by the intelligent guidance model;

[0121] Priority: 0

[0122] Concurrency: 0

[0123] according to image 3 The storage structure design of the active rule, the storage structure of the average replacement rate is as follows Figure 9 As shown, the trigger execution process of its active rules is as foll...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a guide processing method for monitoring business operation state and abnormal results. The method includes formulating an event-condition-action active rule of a monitoring event; constructing a dimension knowledge base, a policy knowledge base and an expert opinion knowledge base of the event; an event monitoring thread captures event signals and pre-processes the signals; an index executing thread monitors execution of indexes, and monitoring indexes are operated according to a priority level; compliance judgment is performed on operation results, if the operation results are in coincidence with the active rule, the monitoring is over; and if the operation results are not in coincidence with the active rule, early warning signals are sent to results with doubtful results; and an intelligent guide thread receives and processes early warning signals, displays transverse dimensions and longitudinal dimensions of early warning results, and calling out policy interpretations of the policy knowledge base and expert treatment opinions of the expert opinion knowledge base. A dynamic monitoring and intelligent guide method has the advantages that only a system is started, workflows are automatically completed by the system, no manual intervention is needed, and users only need to browse results.

Description

technical field [0001] The invention mainly relates to a guiding processing method for realizing the monitoring of business operation status and abnormal monitoring results. Background technique [0002] Under the current basic business network audit mode, the early warning system cannot realize autonomous operation, requires a large number of manual operations and manual intervention, lacks dynamics and initiative, and cannot conduct real-time and all-round monitoring of the operating status of the business; the early warning system The results given cannot meet the needs of auditors. On the one hand, it can only meet the fixed presentation of specific monitoring indicators, and cannot achieve multi-dimensional early warning results for undefined monitoring indicators, macro monitoring indicators, and information system monitoring indicators. At the same time, the longitudinal comparison of the early warning results of the same monitoring indicator under different data batc...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/32
Inventor 黄少滨申林山李明星吕天阳
Owner HARBIN ENG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products