Early warning system and method based on big data

Abstract

The invention discloses an early warning system and a method based on big data. The method is characterized by comprising steps: an early warning platform acquires an infrared thermal imaging map of the inner part of each high-rise building reported by each already-registered high-rise building in a certain city through the Internet of Things; as for each high-rise building, when a hidden fire risk is judged to exist in an elevator of the high-rise building according to the infrared thermal imaging map of the inner part of the high-rise building, the straight line distance between the position information of each already-registered loudspeaker device in the city and the position information of the high-rise building is calculated; when a target loudspeaker device with the straight line distance between the position information of which and the position information of the high-rise building to be smaller than a specified threshold exists in the loudspeaker devices, fire early warning speech containing the position information and the name of the high-rise building with the hidden fire risk is sent to the target loudspeaker device through the Internet of Things; and the target loudspeaker device plays the fire early warning speech. Existence of the hidden fire risk in a certain high-rise building can be timely known by the outside, and major economic loss can be prevented.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a big data-based early warning system and method. Background technique [0002] With the rapid development of the city, there are more and more high-rise buildings in the city. Correspondingly, there are more and more fire accidents in high-rise buildings caused by short circuit, overload, leakage and other dangerous situations in the internal electrical equipment. Fire accidents caused by electrical equipment in high-rise buildings in cities have gradually evolved into "urban diseases". It has been found in practice that when the electrical equipment of a certain high-rise building has dangerous situations such as circuit short circuit, overload, and leakage in the middle of the night, there may be fire hazards. If the fire hazards cannot be known to the outside world in time, it will easily cause major economic losses. loss. Contents of the invention [0003]...

AI Technical Summary

Problems solved by technology

It has been found in practice that when the electrical equipment of a certain high-rise building has dangerous situations such as circuit short circuit, overload, and leakage in the middle of the night, there may be fire hazards. If the fire hazards cannot be known to the outside world in time, it will easily cause major economic losses. loss

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