Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Fire-fighting early warning system based on big data

An early warning system and big data technology, applied in closed-circuit television systems, electrical fire alarms, fire alarms that rely on radiation, etc., can solve the problem of increasing the burning area, not having regular reminders for maintenance, and inconvenient firefighting equipment Regular inspection and other issues to achieve the effect of avoiding the contact area becoming larger

Active Publication Date: 2020-09-18
广西大学行健文理学院 +1
View PDF11 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the existing fire protection system cannot select the fire extinguishing method according to the environmental conditions of the fire. When spraying water under the fire caused by the flammable liquid, the burning area will be further increased, and it is impossible to know the fire in each area. The number of people to be rescued and the location of the floors do not have the function of regular reminders and maintenance, and it is inconvenient to carry out regular inspections of fire-fighting equipment in large areas. A fire-fighting early warning system based on big data is proposed

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Fire-fighting early warning system based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0046] see figure 1 As shown, a fire early warning system based on big data includes a wireless data unit, a central control unit, a detection unit, and a fire protection unit. The central control unit, detection unit, and fire protection unit form a fire processing unit, and the fire processing units are distributed in different in the community;

[0047] The detection unit includes smoke detectors, temperature detectors, photosensitive detectors, flammable gas detectors, and passive infrared detectors. The smoke detector...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a fire-fighting early warning system based on big data. The system comprises a wireless data unit, central control units, detection units and fire-fighting units, wherein the central control units, the detection units and the fire-fighting units form fire disaster processing units, the fire disaster processing units are distributed in different communities, each detection unit comprises a smoke detector, a temperature detector, a photosensitive detector, a combustible gas detector and a passive infrared detector, and the smoke detectors are used for detecting smoke information in the areas. The beneficial effects of the invention are that: a grading and classifying treatment mode is adopted, when there is no alkane combustible gas information, all fire extinguishingequipment is started to extinguish fire, when there is alkane combustible gas information exists, all fire extinguishing devices except a sprayer are started to extinguish fire cooperatively, the situation that fire is stronger due to the fact that the contact area of combustible gas and air is increased is avoided, firefighters can conveniently, timely and accurately search and rescue trapped people, the time of the fire extinguishing equipment in all areas can be obtained, and people are reminded to carry out maintenance and repair regularly.

Description

technical field [0001] The invention relates to a firefighting system, in particular to a firefighting early warning system based on big data, and belongs to the technical field of firefighting. Background technique [0002] The fire protection system refers to the system that can automatically cut off the relevant air conditioners in the alarm area after the fire detector detects the fire signal, close the fire damper on the pipeline, stop the relevant fan changer, open the smoke exhaust valve of the relevant pipeline, and automatically close the relevant parts For electric fire doors and fire shutter doors, cut off non-fire-fighting power supplies in sequence, turn on emergency lighting and evacuation sign lights, stop all elevators except fire-fighting elevators, and immediately activate the fire-extinguishing system through the controller of the control center for automatic fire-extinguishing , the form of linkage can generally be divided into centralized control, decent...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G08B17/06G08B17/10G08B17/12G08B21/16G08B21/18G08B21/24G08B25/01G08B25/10G08B3/10A62C37/40G01J5/00H04N7/18G06M1/10
CPCA62C37/40G01J5/0025G06M1/101G08B3/10G08B17/06G08B17/10G08B17/12G08B21/16G08B21/182G08B21/24G08B25/016G08B25/10H04N7/181
Inventor 张世明谢萌谢聪徐钏
Owner 广西大学行健文理学院
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products