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Building fire-fighting safety index calculating method based on big data classification algorithm

A classification algorithm and safety index technology, applied in computing, computer parts, instruments, etc., can solve problems such as complex data relationships, large manpower consumption, and huge amount of fire detection records, and achieve the effect of objective calculation results

Inactive Publication Date: 2018-04-24
广东广业开元科技有限公司
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0003] Due to the large amount of fire detection records and complex data relationships, the calculation of the building fire safety index requires a lot of manpower, and the evaluation results are often limited by the experience level of the evaluators, resulting in unstable evaluation results, etc.

Method used

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  • Building fire-fighting safety index calculating method based on big data classification algorithm
  • Building fire-fighting safety index calculating method based on big data classification algorithm
  • Building fire-fighting safety index calculating method based on big data classification algorithm

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Embodiment Construction

[0027] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention can be implemented in many different ways defined and covered by the claims.

[0028] Such as figure 1 As shown, a calculation method of building fire safety index based on big data classification algorithm, the method steps are: Step 1: data labeling and grouping;

[0029] (For example: fire water supply system, gas fire extinguishing system, temperature sensing system, etc.) and importance level (classify different sub-items in a system, and generally divide them into three levels according to the impact of the project on the operation of the fire protection system, respectively: Larger Impact items, general impact items, minor impact items) are grouped and classified. The specific classification list is as follows:

[0030]

[0031]

[0032]

[0033] Step 2: Build the SVM classifier; Step 3: Train the classificat...

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Abstract

The invention relates to the technical field of fire-fighting safety big data analysis platforms, especially a building fire-fighting safety index calculating method based on a big data classificationalgorithm. The method comprises the steps: 1, carrying out the data marking and grouping; 2, constructing an SVM classifier; 3, training a classifying model; 4, applying a model prediction result. The beneficial effects of the invention are that the method combines with a latest data mining theory implementation method, employs an SVM for constructing a standard safety index calculation model, takes the historical data as a model construction basis in advance, and can achieve a quick, scientific, standard and objective calculation result under the support of the modern computer calculation speed.

Description

technical field [0001] The invention relates to the technical field of fire safety big data analysis platform, in particular to a calculation method of building fire safety index based on big data classification algorithm. Background technique [0002] With the rapid development of social economy in recent years, new situations and new problems faced by fire protection work are constantly increasing. challenges and tests. In order to investigate hidden dangers of building fire safety and reduce building fire safety risks, local fire management departments have increased fire safety inspections for buildings. Quantitatively record a series of inspection actions for the status of each fire protection facility. Based on the quantitative data formed by fire detection, the fire safety index of the designated building is calculated to determine whether the building is a high-risk building. The fire department can use this to determine the prevention targets of key fire hazards, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/2411G06F18/214
Inventor 王晓佳蔡文鑫
Owner 广东广业开元科技有限公司
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