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Search method of jet trajectory of fire monitor based on particle swarm optimization

A technology of particle swarm algorithm and search method, which is applied in the field of search of fire monitor jet trajectory based on particle swarm algorithm, can solve the problems of insufficient accuracy and high dependence of fire jet trajectory search, so as to reduce correlation and eliminate Effect of search failure, increasing accuracy and reliability

Inactive Publication Date: 2016-04-20
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0014] Aiming at the problem that the search of fire jet trajectory in the intelligent fire protection system is highly dependent and the accuracy is not high enough, the present invention proposes an iterative optimization search method based on the particle swarm algorithm to find the global optimal starting point and jet trajectory, increasing the overall The accuracy and reliability of the search, while eliminating the possibility that subsequent images will fail due to an error in one image

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  • Search method of jet trajectory of fire monitor based on particle swarm optimization
  • Search method of jet trajectory of fire monitor based on particle swarm optimization
  • Search method of jet trajectory of fire monitor based on particle swarm optimization

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Embodiment Construction

[0025] like figure 1 Shown, the present invention is based on the search method of the fire monitor jet track of particle swarm algorithm and comprises the following steps:

[0026] 1. According to methods such as background subtraction, binarization, filtering, and shape extraction, the initial jet starting point and its trajectory are obtained, and the characteristic values ​​such as the starting point, gray level, length, and angle of the water channel are recorded as the prior information of the water channel;

[0027] 2. On the follow-up fire monitor jet flow picture, set the particle points according to the size of the picture and the prior value of the starting point, and draw up the movement rules and the calculation method of the fitness function during the particle iteration process;

[0028] 3. Consider the particle point set above as the starting point of the jet, and use the one-way search method to search for the water channel trajectory of each particle point; ...

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Abstract

The invention discloses a fire monitor jet flow track search method based on a particle swarm optimization. The particle swarm optimization is guided into fire monitor jet flow search, the optimum jet flow starting point and track are sought in the overall situation range through particle iteration movement, and accordingly accuracy and reliability of the whole search are increased. Simultaneously, by aid of random search of particles in the overall situation range, relevance between image frames is reduced, unnecessary errors caused by excessive dependence on the search results of a former frame of image are avoided, and possibility of search failure of follow-up images caused by error of the former image is avoided.

Description

technical field [0001] The invention belongs to the combination of image processing technology and swarm intelligence algorithm, mainly relates to the search of particle swarm algorithm and image characteristic trajectory, and realizes the optimal search of fire monitor jet trajectory by using the iterative optimization characteristic of particle swarm algorithm. Background technique [0002] 1 Particle Swarm Algorithm [0003] Particle Swarm Optimization (PSO) for short, was proposed by Eberhart and Kennedy in 1995. The particle swarm optimization algorithm is based on the simulation of bird swarms and fish swarms, and finds the optimal solution through swarm search and iteration. Due to the simplicity of the algorithm, easy implementation, no need to adjust many parameters, and no need for gradient information, the particle swarm optimization algorithm has attracted the attention and research of many scholars. [0004] 2Intelligent fire protection system [0005] Intell...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06N3/00
Inventor 赵敏苏浩姚敏
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS