A ranking system for fire safety key units based on big data analysis

Abstract

The invention discloses a ranking system for fire safety key units based on big data analysis. The system includes a data acquisition unit for collecting building attribute parameters corresponding to a plurality of buildings, and a PCA algorithm for collecting multiple building attribute parameters. The building attribute parameters corresponding to the buildings are subjected to principal component analysis processing to obtain the principal component data corresponding to multiple buildings, and the data processing units of at least two data clusters are obtained after performing cluster analysis on the principal component data corresponding to multiple buildings. A data sorting unit used to calculate the average value of the first principal component of each data cluster and sort the data clusters according to the average value of the first principal component. By using the system of the present invention, the fire safety key units can be accurately defined, and the grade determination results of the fire safety key units are more in line with the actual situation, and the processing efficiency is high. The system of the invention can be widely used in the field of fire management and control.

Description

technical field [0001] The invention relates to data determination and sorting processing technology, in particular to a ranking processing system for fire safety key units (buildings) based on big data analysis. Background technique [0002] Explanation of technical terms: [0003] PCA: Principal Component Analysis, which is a statistical method that converts a group of variables that may be correlated into a group of linearly uncorrelated variables through an orthogonal transformation. The converted group of variables is called a principal component. [0004] 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 reduce the probability of fire and reduce the damage to people's lives and property caused by fire, the fire department of the public security organ of the local people's government at or above the county level will report units (buil...

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Problems solved by technology

However, in the existing ranking technology for fire safety key units, the parameter definition of various buildings lacks a large amount of statistical data support, which may easily lead to low accuracy of ranking results and situations that do not match the actual situation, and among them The defined rules are also relatively complicated, which will reduce the operability and data processing efficiency. In addition, the parameters of various buildings will change during the time migration process, which will lead to changes in the ranking results of key fire safety units , and because the current ranking of fire safety key units basically depends on human operations, when the parameters of the building are updated and changed, the staff need to re-process the data to obtain a new ranking result, which not only greatly reduces the Processing efficiency, ease of operation and lag in producing results, but also greatly increase the workload of staff

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