Multi-functional headset intelligent fire fighting system and control method thereof

Abstract

The invention discloses a multi-functional headset intelligent fire fighting system and a control method thereof. According to the multi-functional headset intelligent fire fighting system, a vibration-resistant platform is adopted to eliminate high-frequency vibration in the movement process of a fireman, an ultrasonic sensor makes up for the deficiencies of an infrared camera on deep information perception, and three-dimensional physical environment and temperature field distribution in a fire scene environment are calculated through a fusion algorithm; meanwhile, a combined sensor of GPS and inertial measurement and a magnetic field sensor are adopted, inertial movement information, magnetic field information and position speed information are fused, and information, such as a position, a speed, a posture and the like, relative to a node can be accurately acquired, so that a position and a direction of the node in a whole fire scene is assisted to be accurately established, and the three-dimensional physical environment and the temperature field distribution in the whole fire scene environment is established accurately by integrating various nodes; and in addition, by combining with historical data, optimal action strategy is obtained. The multi-functional headset intelligent fire fighting system accurately perceives the fire scene environment, rapidly analyzes a form of a fire and can perform intelligent decision, and thus own protection and efficient rescue and fire-fighting of the fireman is realized.

Description

technical field [0001] The invention relates to the field of fire-fighting equipment, in particular to a multifunctional head-mounted intelligent fire-fighting system and a control method thereof. Background technique [0002] With the development of science and technology, people have put forward higher requirements for the efficiency and success rate of fire rescue. Traditional fire rescue equipment has a single function and low rescue efficiency, which cannot meet the high requirements for firefighters' rescue capabilities today. In the fire environment, traditional handheld search and rescue equipment can assist firefighters to find people trapped in the fire, but it has a single function, and the hand-held equipment for firefighters is inconvenient to move, and the sensor used in this type of equipment is single, with limited functions and weak search and rescue capabilities; In the rescue incidents, the safety of firefighters is a matter of great importance, but the ex...

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Problems solved by technology

[0002] With the development of science and technology, people have put forward higher requirements for the efficiency and success rate of fire rescue. Traditional fire rescue equipment has a single function and low rescue efficiency, which cannot meet the high requirements for firefighters' rescue capabilities today.

In the fire environment, traditional handheld search and rescue equipment can assist firefighters to find people trapped in the fire, but it has a single function, and the hand-held equipment for firefighters is inconvenient to move, and the sensor used in this type of equipment is single, with limited functions and weak search and rescue capabilities; In the rescue incidents, the safety of firefighters is a matter of great importance, but the existing search and rescue equipment cannot provide the functions of judging the overall fire trend in the fire scene environment and preventing problems before they happen; The various rescue plans are judged by the experience of firefighters. The fire environment is very complicated, and firefighters will inevitably have insufficient experience and misjudgment, which will bring great difficulties to fire search and rescue work.

[0003] In the prior art, infrared cameras are used to sense the on-site temperature field environment and obtain three-dimensional information on the temperature field distribution. Since a single camera can only collect plane information but not depth information, although the multi-camera method can obtain field of view depth information, it will greatly increase Increase system complexity and reduce system reliability

[0004] In the prior art, although GPS is installed in the firefighting helmet for positioning firefighters in the fire scene, and then the infrared camera senses the fire scene environment, but GPS can only complete positioning and speed measurement, and cannot obtain the current posture and orientation of firefighters. In the fire scene environment, the attitude is different, and the images captured by the infrared camera are not the same. There is no orientation information compensation, and the images collected by the infrared camera can only be processed by the optical flow processing algorithm. This algorithm will cause the image to be distorted due to the lack of an external reference angle as a reference. Larger errors occur in the process of processing

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