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Early warning method for diagnosing warning condition and early-warning system

An early warning system and warning technology, which are applied in the field of early warning methods and early warning systems for diagnosing warning situations, and can solve problems such as non-linear mapping decision-making problems.

Inactive Publication Date: 2008-04-16
TIANJIN UNIVERSITY OF TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although they quantify qualitative things to a certain extent, they cannot solve the decision-making problems caused by nonlinear mapping.

Method used

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Embodiment Construction

[0029] The early warning method and early warning system for diagnosing alarm conditions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0030] As shown in Figure 1, the early warning method for diagnosing alarm situation of the present invention comprises the following steps:

[0031] Step S10: Determine the diagnostic standard model of the alarm situation.

[0032] Use the safety checklist method to determine the level of accident warning and its corresponding warning indicators based on historical experience and industry records, and form a chart as shown in Table 1, where the same early warning warning indicator can have multiple representations.

[0033] Table 1 The standard model of early warning accident judgment

[0034] serial number

Police Level (Police Level)

Warning Indicators

1

2

...

I 1

I 2

...

C 1

V 11

...

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Abstract

The invention discloses an early warming method for warning condition diagnosis and includes the following steps: (1) a standard model comprises warning condition level, warning omen index and range early warming accident diagnosis of the index; (2) according to the standard model, three essential matter elements (i.e. a possible warning level aggregate, a warning omen aggregate corresponding to warning condition and corresponding warning omen range) are determined; (3) according to the standard model, a standard warning condition matter element model is set up with classical domain and joint domain determined; (4) a current warning condition matter element model which describes the status of warning condition is set up; (5) the correlation functional value of the warning condition to be diagnosed is calculated; (6) weighing coefficient is determined; (7) correlation degree of the warning omen to be diagnosed and the warning omen of each warning level is analyzed; (8) the diagnosis result is determined and output from an outlet. According to complex warning omen index and through the calculation of correlation degree, the invention judges warning condition and determines warning degree; moreover, the method analyzes the controllable degree through the correlation functional value, thereby providing an effective research method for early warming management from a quantitative angle.

Description

technical field [0001] The invention relates to the field of public safety, in particular to an early warning method and early warning system for diagnosing alarm conditions. Background technique [0002] Public safety early warning technology can be divided into qualitative and quantitative. When the negative disturbance factors appearing in the operation of the crisis alarm source develop to a certain extent, the external form is called the early warning alarm situation. The diagnosis of the police situation mainly refers to the determination of the police level, that is, the determination of the severity of the accident police situation. Its research method still mainly stays in the qualitative analysis method at present. Common qualitative analysis methods include historical experience method, expert evaluation method, historical data method, etc. [0003] The historical experience method refers to the decision-making method gradually accumulated from daily work exper...

Claims

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Application Information

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IPC IPC(8): G06Q10/00G06Q50/00G06Q10/06G06Q50/26
Inventor 陈伟珂尹贻林王兴华
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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