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

Adaptive alarming threshold method based on CUSUM (Cumulative Sum), and application in SCADA (Supervisory Control And Data Acquisition)

An adaptive and threshold technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of high probability of false alarms and missed alarms

Active Publication Date: 2018-01-09
XIDIAN UNIV
View PDF1 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the prior art are: the adopted CUSUM algorithm sets a fixed detection threshold, increases the alarm speed, and has a high probability of false alarm and missed alarm

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
  • Adaptive alarming threshold method based on CUSUM (Cumulative Sum), and application in SCADA (Supervisory Control And Data Acquisition)
  • Adaptive alarming threshold method based on CUSUM (Cumulative Sum), and application in SCADA (Supervisory Control And Data Acquisition)
  • Adaptive alarming threshold method based on CUSUM (Cumulative Sum), and application in SCADA (Supervisory Control And Data Acquisition)

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0054] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0055] Such as figure 1 As shown, the CUSUM-based adaptive alarm threshold method provided in the embodiment of the present invention includes the following steps:

[0056] S101: Read the detection sequence in the normal state, meet the preset conditions, and obtain the normal normal distribution expression of the sequence;

[0057] S102: read, offset constant, update mean value and standard deviation, and calculate normal normal distribution expression;

[0058] S103: According to...

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 belongs to the technical field of a data collection and monitoring control system, and discloses an adaptive alarming threshold method based on CUSUM (Cumulative Sum), and application inSCADA (Supervisory Control And Data Acquisition). The method comprises the following steps that: reading a detection sequence under a normal state, and obtaining the normal distribution expression ofa sequence when a preset condition is met; reading a deviation constant, an update mean value and a standard deviation, and calculating a normal distribution expression; according to a function underthe normal operation state of a system and a function under the abnormal state of the system, solving an optimal value as a threshold value for next detection; starting next-round detection; and ending an algorithm. Compared with a situation that a fixed detection threshold value is set by experience at present, the method disclosed by the invention converts problems into a mathematical model forsolving an optimal value on the basis of a Bayesian theory and a dichotomy optimization algorithm, the obtained detection threshold value is taken as the alarming threshold, alarming instantaneity can be improved, and the system has a low false alarm rate and a rate of missing report.

Description

technical field [0001] The invention belongs to the technical field of data acquisition and monitoring control systems, and in particular relates to a CUSUM-based self-adaptive alarm threshold method and SCADA application. Background technique [0002] With the increasing complexity of industrial control systems, once the equipment fails, it will not only cause huge economic losses, but also bring many safety problems. Now people can collect alarm information according to the SCADA system (data acquisition and monitoring control system). If a certain variable is considered to be critical, the alarm threshold can be set to generate an alarm signal, but false positives and missed negatives will occur due to inaccurate alarm threshold settings. As a result, industrial control systems face serious threats. In 1994, an explosion accident occurred in the sulfurized catalytic cracking unit of the Texaco refinery in the United Kingdom. Before the explosion, there were 2040 alarms, ...

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): G06F17/50
Inventor 孙景荣张瀚文许录平韩庆敏陈俊凯张华赵聪聪
Owner XIDIAN 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