Fire early warning system and method based on articulated naturality web

Abstract

The embodiment of the invention provides a fire early warning system based on an articulated naturality web. The system is applied to the articulated naturality web which comprises a communication server; the system comprises a thermal imager 5, an articulated naturality web terminal, a management client side and a monitoring terminal; the thermal imager is used for collecting thermal imaging video streaming of a designated area, and the thermal imaging video streaming comprises a plurality of video frames; the articulated naturality web terminal is used for decoding the multiple video framesin the thermal imaging video streaming to obtain corresponding thermal imaging pictures, and obtaining temperature values corresponding to pixel blocks one to one according to the pixel blocks in allthe thermal imaging pictures; when the N first temperature values closest to the current time are in the preset first temperature interval, first early warning information is generated; and the firstearly warning information is sent to the management client side through the communication server, and thus the management client side acquires field video streaming, shot by the monitoring terminal, of the designated area.

Description

technical field [0001] The present application relates to the technical field of the Internet of Vision, in particular to a fire warning system and method based on the Internet of Vision. Background technique [0002] The Internet of Vision is a real-time switching platform and a more advanced form of the Internet. Faced with the potential huge video traffic on the network, the Internet of Vision adopts the two advantages of Ethernet asynchronous and packet switching, and eliminates the defects of Ethernet under the premise of full compatibility. , with end-to-end seamless connection of the entire network, directly connected to user terminals, directly carrying IP data packets, and user data does not need any format conversion within the entire network, enabling real-time transmission of high-definition video across the entire network that cannot be realized on the Internet at present. [0003] Therefore, the Internet of Vision pushes many Internet applications to high-defin...

AI Technical Summary

Problems solved by technology

[0004] Although the traditional fire warning system can function as a fire alarm, it cannot help the outside world to understand the specific situation inside the fire scene. At the same time, it may cause false alarms due to human factors (such as smoke generated by smoking causing alarms), resulting in waste of police personnel. ; In the existing background, when a fire occurs, the scene conditions of the fire cannot be obtained in time, causing firefighters and the command center to fail to make targeted emergency measures by obtaining the scene conditions in time

[0005] Therefore, in the existing fire protection field, there are problems of false fire alarm, inability to warn of fire and inability to obtain on-site video in time

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