Household intelligent safety fire-fighting early warning protection system based on big data

Abstract

The invention relates to a home intelligent safety fire-fighting early warning protection system based on big data; the system comprises a modeling module which is used for building a virtual home building model and a fire source disposed at any position in the home building model; a receiving module which is used for receiving real-time air velocity information, real-time humidity information and real-time temperature information of the building; a central control module which is respectively connected with the receiving module and the modeling module, acts the real-time information of the building on the fire source, evaluates the phagocytosis of the fire source to the surrounding environment, and establishes a corresponding fire fighting scheme according to a simulation result, wherein the central control module is connected with the modeling module, the receiving module and the warning module. According to the method, the change intensity of the fire source is evaluated through the change speed of the smoke granularity, so that the judgment of the spreading trend is more accurate, a more accurate fire fighting scheme can be adopted, the process of building fire fighting is quicker, and optimal utilization of fire fighting personnel, a fire fighting method and fire fighting equipment is realized.

Description

technical field [0001] The invention relates to the field of smart home technology, in particular to a big data-based smart home safety fire warning and protection system. Background technique [0002] With the development of social economy and the increase of population, high-rise civil buildings have become the mainstream of urban living and office, so power electronic equipment and power load have also increased greatly, and fire accidents caused by electrical failures have also increased dramatically. [0003] Leakage fire alarm systems are usually installed in high-rise buildings where there is a high risk of fire and densely populated places. At present, most fire detectors use the threshold comparison method, which is also a traditional processing method. It is simple and clear, and easy to implement, but its environmental adaptability and anti-interference ability are poor. There are many reasons for electrical fires, such as line short circuit, overcurrent, ground ...

AI Technical Summary

Problems solved by technology

[0005] For this reason, the present invention provides a smart home safety fire warning and protection system based on big data, which can solve the problem of inaccurate alarms

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