Building fire risk real-time dynamic quantitative evaluation method based on Internet of Things

Abstract

The invention relates to the technical field of fire prevention and maintenance and discloses a building fire risk real-time dynamic quantitative evaluation method based on the Internet of Things. Inan initial evaluation phase, various site types of social units are classified in a standardized mode, 14 different site models such as a market, an all-in-one site, an industrial enterprise, a publicentertainment site, a group rental house, a hotel, a high-rise building, a hospital, a nursing home, a school, a kindergarten, a construction site, a cultural relic building and a subway are divided,and an index system of each site model is established. A necessary support tool is provided for social units to meet the requirements of national competent departments on three autonomy, two publications and one commitment. A real risk index basis is provided according to the requirements that the commitment field does not have prominent risks or preventive measures have been implemented. A n innovative means is provided for forming an innovative emergency management mode taking a dynamically quantified risk index as a control target.

Description

technical field [0001] The invention relates to the technical field of fire prevention and maintenance, and specifically relates to a real-time dynamic quantitative assessment method for building fire risks based on the Internet of Things, which is used in shopping malls, "all-in-one" places, industrial enterprises, public entertainment places, group rental houses, Hotels, restaurants, high-rise buildings, hospitals, nursing homes, schools, kindergartens, construction sites, cultural relics, subways and other places collect and detect static and dynamic parameters of designated places through the Internet of Things, and calculate and timely quantitatively output fires in the place through the evaluation model algorithm Risk index, so as to realize fire risk identification and online dynamic assessment in different places, so as to facilitate timely elimination of hidden dangers. Background technique [0002] Fire is a disaster caused by burning out of control in time and (or...

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Problems solved by technology

[0004] The disadvantage of the above patents is that the parameters required for risk assessment are all static structural parameters. Even if dynamic parameters are considered, they are still abnormal alarm signals of fire alarms, or laying sensor belts at the fire scene to obtain field data

For example, fire alarm system data, electrical fire monitoring system data, gas fire extinguishing monitoring system data, fire door monitoring system data, fire water system data, fire equipment status data, and even dynamic signals such as security video data, but these signals are only used for monitoring Shown, not integrated with fire risk assessment

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