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Method and device for fire monitoring

A fire and target image technology, applied in fire alarms, instruments, biological neural network models, etc., can solve problems such as loss and personnel economy, reduce the probability of fire, reduce personnel and economic losses, and improve intelligence. Effect

Inactive Publication Date: 2017-03-22
BEIJING XIAOMI MOBILE SOFTWARE CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It can be seen that the fire alarm system can reduce the probability of fire to a certain extent. However, for some target areas, such as: gas stations, dust operation rooms, fireworks and firecrackers operation rooms, etc., once there are hidden dangers that may cause fires in these areas, such as: cigarettes , it is necessary to call the police, otherwise, it may cause huge human and economic losses

Method used

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  • Method and device for fire monitoring
  • Method and device for fire monitoring
  • Method and device for fire monitoring

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0109] Embodiment 1. In this embodiment, the target area can be a gas station. Since there cannot be any sparks in these specific areas such as gas stations and dust operation rooms, once any conditions that can cause sparks appear, they must be reminded or corrected. Therefore , here, images that can cause sparks can be preset as images that carry fire characteristics, for example: take out a cigarette, take out a mobile terminal, take out a lighter, answer a mobile terminal, and so on.

[0110] figure 2 is a flow chart of a fire monitoring method shown according to an exemplary embodiment 1, such as figure 2 As shown, the following steps S201-S205 are included:

[0111] In step S201, the current target image of the gas station is acquired.

[0112] In step S202, by identifying the target image, a first image carrying fire hazard features is acquired from the target image.

[0113] Here, each image in the current target image can be identified through a deep convolutiona...

Embodiment 2

[0123] Embodiment 2. In this embodiment, the target area can be an area with a large flow of people, such as an airport, a railway station, etc. The area with a large flow of people does not have the same requirements for fires caused by sparks as gas stations and other places. However, because the flow of people is relatively large If it is large, it is also necessary to focus on fire prevention, otherwise it will cause greater casualties.

[0124] image 3 is a flow chart of a fire monitoring method shown according to a second exemplary embodiment, as image 3 As shown, the following steps S301-S305 are included:

[0125] In step S301, a current target image of an area with a large flow of people is acquired.

[0126] In step S302, by identifying the target image, a first image carrying fire hazard features is acquired from the target image.

[0127] In this embodiment, corresponding fire hazard feature images are set for areas with a large flow of people, for example: im...

Embodiment 3

[0167] Embodiment three, Figure 9 is a block diagram of fire monitoring according to an exemplary embodiment 3, such as Figure 9 As shown, the device includes: an acquisition module 410, an analysis module 420, and an early warning module 430, wherein the analysis module 420 may include an identification submodule 421, an analysis submodule 422, and a determination submodule 423, and the identification submodule 421 includes: an identification unit 4211 and a determination unit 4212. The analysis sub-module 422 includes: an input unit 4221 and an analysis unit 4222 .

[0168] In this embodiment, the target area may be a gas station.

[0169] In this way, the acquisition module 410 can obtain the current target image of the gas station. The identification sub-module 421 in the analysis module 420 identifies each image in the current target image to determine the first image that carries the fire hazard feature, that is, by identifying the target image, the target image tha...

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Abstract

The disclosure is about a method and a device for fire monitoring. The method comprises steps of acquiring a current target image in a target area; obtaining a risk level of a fire hazard in the target area based on the target image; and performing corresponding warning operation according to the risk level. In the technical scheme, that whether there is a fire hazard in the target area can be determined based on the target image in the target area, so that the fire early warning can be automatically conducted by monitoring the target image in the target area, the intelligence of the fire alarm system can be improved, and personnel and economic losses can be reduced.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, in particular to a fire monitoring method and device. Background technique [0002] Fire safety is closely related to the safety of life and property of each of us, and people pay more and more attention to the construction of fire protection facilities. Fire alarm systems can be used to reduce losses caused by fire. [0003] At present, the commonly used fire alarm system can include: sensing equipment composed of smoke sensors, temperature sensors, etc., and can also include control equipment and alarm equipment. After the sensing equipment collects environmental information, the control equipment will When it is determined that a fire is likely to occur or has already occurred, the alarm equipment is controlled to give an alarm. Of course, if the fire alarm system includes fire extinguishing equipment, the control equipment can also activate the fire extinguishing equi...

Claims

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Application Information

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IPC IPC(8): G08B17/00H04N7/18G06K9/46G06N3/02
CPCH04N7/18G06N3/02G08B17/00G06V10/40G06V2201/07
Inventor 张向阳陈帅王刚
Owner BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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