Construction site flame recognition system based on artificial intelligence

A flame recognition and artificial intelligence technology, used in character and pattern recognition, fire alarms and instruments that rely on radiation effects, etc., can solve problems such as increasing flame burning, failure to warn in time, and failure to extinguish fire in time, so as to avoid fire. The effect of spreading faster, improving fire extinguishing efficiency and improving fire fighting effect

Pending Publication Date: 2022-07-12
NANJING XIAOZHUANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The construction site generally refers to the construction site of buildings and structures. Due to the chaotic management of the construction site plane, various combustible materials are scattered all over the ground. These combustible materials can easily cause a fire when they encounter scorching heat. Personnel cannot extinguish the fire in time, causing a small fire to burn into a large fire, causing damage to life and property. In order to avoid the failure to extinguish the fire in time, multiple fire sensors are often installed on the construction site to give an alarm notification when a fire occurs, but the installation position of the fire sensor is fixed. , if the ignition point is too far away from the fire sensor in a straight line, the fire sensor will not detect it immediately, resulting in a limited range of fire sensing, and the type of flame cannot be identified in the event of a fire, resulting in the inability to choose a fire extinguishing method. Using the wrong fire extinguishing method will only increase the flame burning. In view of this, we propose a construction site flame recognition system based on artificial intelligence

Method used

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  • Construction site flame recognition system based on artificial intelligence
  • Construction site flame recognition system based on artificial intelligence
  • Construction site flame recognition system based on artificial intelligence

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Experimental program
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Effect test

Embodiment 1

[0039] see Figure 1-Figure 3 As shown, this embodiment provides an artificial intelligence-based construction site flame identification system, including a route identification unit 100, an intelligent mobile unit 200 and a flame early warning unit 300;

[0040] The route identification unit 100 is used to identify the layout of the construction site, establish a construction site map, and plan a moving route, and can establish a corresponding construction site map according to different construction sites, which is convenient for quickly locating the ignition point in the event of a subsequent fire;

[0041] The route identification unit 100 includes a construction site map generation module and a route planning module;

[0042] The construction site map generation module is used to scan the spatial layout of the construction site and generate a construction site map; the construction site map generation module preferably adopts the method of laser ranging, by setting a sele...

Embodiment 2

[0067] Considering that after a fire occurs, the location of the ignition point cannot be quickly located, which affects the fire extinguishing efficiency. Therefore, in order to improve the fire extinguishing efficiency, the difference between this embodiment and Embodiment 1 is that:

[0068] The flame warning unit 300 further includes a tracking and positioning module, which is used to feed back the position of the positioning robot to the user terminal after receiving the fire signal, so that after a fire occurs, the user can quickly find the ignition point according to the positioned position. , improve fire extinguishing efficiency.

[0069] Specifically, the position of the positioning robot adopts the GPS radio ranging algorithm, and the calculation formula is as follows:

[0070]

[0071]

[0072] Among them, (X, Y, Z) is the position coordinate of the robot, (X, Y, Z) is the position coordinate of the robot, (X1, Y1, Z1), (X2, Y2, Z2), ..., (Xn , Yn, Zn) are s...

Embodiment 3

[0075] Considering that the robot detects another ignition point when it continues to move after detecting one ignition point, the user cannot judge the order of extinguishing according to the fire situation of the two ignition points. The difference between this embodiment and Embodiment 1 is that:

[0076] The flame early warning unit 300 further includes a priority sorting module, the priority sorting module is used to detect the fire of the sensed multiple ignition points, and arrange the fire extinguishing priority according to the size of the fire. The size of the fire is arranged so that the user can give priority to rescue the location with a large fire, and there is still time to wait for the location with a small fire;

[0077] Specifically, it is assumed that the robot senses fire at ignition point b for the first time, detects the size of the fire at b, and uses b as the priority fire extinguishing point. As the robot moves, it senses the second ignition point c an...

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Abstract

The invention relates to the technical field of construction sites, in particular to a construction site flame recognition system based on artificial intelligence. The system comprises a route identification unit, an intelligent mobile unit and a flame early warning unit. The route identification unit is used for identifying a construction site layout, establishing a construction site map and planning a moving route; the intelligent moving unit is used for controlling the robot to move according to the moving route planned by the route identification unit; the flame early warning unit is used for sensing a fire disaster and outputting a sensing signal. The system can comprehensively sense a fire on a construction site, enables a user to know the occurrence of the fire at the first time, carries out the fire fighting according to the flame type, improves the fire fighting effect, and is high in safety.

Description

technical field [0001] The invention relates to the technical field of construction sites, in particular to a construction site flame identification system based on artificial intelligence. Background technique [0002] The construction site generally refers to the construction site of buildings and structures. Due to the chaotic management of the construction site, all kinds of combustible materials are all over the floor. These combustible materials can easily cause fire when they are hot. Personnel cannot put out the fire in time, causing the small fire to burn into a large fire, causing damage to life and property. In order to avoid failure to put out fire in time, multiple fire sensors are often installed on the construction site to give an alarm notification when a fire occurs, but the location of the fire sensor installation is fixed. , if the straight-line distance between the ignition point and the fire sensor is too far, the fire sensor will not detect it immediate...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08B17/12G06V20/10
CPCG08B17/125
Inventor 刘华
Owner NANJING XIAOZHUANG UNIV
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