Multiple linear regression fire risk assessment method based on big data
A multiple linear regression and risk assessment technology, applied in data processing applications, instruments, resources, etc., can solve difficult problems such as smart fire protection applications
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[0060] The present invention provides a multiple linear regression fire risk assessment method based on big data, which uses a multi-attribute assessment method, the model is widely used in complex systems due to its convenience and robustness, and the heuristic process of associating these attributes constructs a Robust fire risk assessment system. This multi-factor comprehensive risk assessment method determines the main factors affecting the risk, solves the data standardization problem of each factor, and completes the establishment of the risk assessment model.
[0061] (1) Construct a hierarchical structure model of fire risk factors
[0062] In the multi-factor comprehensive risk analysis, the selection and determination of factors are very important. The factors affecting the fire safety of social units in the field of fire protection include five aspects: (1) fire hazard source; (2) building fire protection; (3) personnel situation; ( 4) Fire safety management of soc...
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