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Multi-sensor data fusion fire source positioning algorithm based on deep learning model

A deep learning, multi-sensor technology, applied in neural learning methods, biological neural network models, instruments, etc., can solve problems such as being easily blocked, affecting positioning accuracy and the effect of fire detection, and being unsuitable, so as to avoid line of sight blocking. , cost-effective, strong applicability

Pending Publication Date: 2022-04-05
NANJING UNIV OF TECH
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AI Technical Summary

Problems solved by technology

However, the biggest disadvantage of traditional video surveillance is that it is easy to be blocked, so the fire location method based on image recognition is not suitable for warehouses with many shelves. In addition, the infrared signal is blocked by obstacles, which will greatly affect the accuracy of positioning and fire detection. Effect

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  • Multi-sensor data fusion fire source positioning algorithm based on deep learning model
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  • Multi-sensor data fusion fire source positioning algorithm based on deep learning model

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Embodiment Construction

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0022] see figure 1 , the embodiment of the present invention provides a technical solution:

[0023] The invention provides a multi-sensor data fusion fire source location algorithm based on a deep learning model, which includes the following steps:

[0024] Step 1. Establish a variety of fire scenarios, and collect temperature and smoke concentration data of different scenarios through wireless sensor networks; use FDS to establish 24 fire scenarios with di...

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Abstract

The invention discloses a multi-sensor data fusion fire source positioning algorithm based on a deep learning model, and the algorithm comprises the following steps: a wireless sensor network collects temperature and smoke concentration data of different fire scenes as the input of the deep learning model, and carries out the preprocessing of the collected data, including data normalization and data framing processing; performing feature extraction on the data set by a convolutional layer and a pooling layer, and learning a relationship between a fire source and each fire parameter distribution in a fire scene; and finally, the position information of the fire source is calculated and output. The method can be used for positioning a fire source, discovering a fire in time and avoiding the problem of sight blocking caused by traditional video monitoring, and has the advantages of high accuracy, low cost, wide application range and the like.

Description

technical field [0001] The invention relates to the technical field of fire positioning and alarming, in particular to a multi-sensor data fusion fire source positioning algorithm based on a deep learning model. Background technique [0002] Due to the special structure and function of the large-space warehouse, some flammable or combustible materials may be stored in it, and any fire accident may cause disastrous consequences. If the accident cannot be discovered and rescued in time, it will spread rapidly and cause serious losses. The research on fire source location technology can provide a favorable decision-making basis for timely and efficient fire fighting and rescue work when a fire occurs. With the development of sensors and information technology, and in-depth research on fire combustion mechanism, the fire source location technology for different fire scenarios, including optical fiber temperature measurement, smoke sensor, temperature sensor and video surveillan...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08G06F30/27
Inventor 喻源葛成文李丽娟卞海涛
Owner NANJING UNIV OF TECH
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