An emergency indoor positioning system for firefighters

Abstract

The invention discloses a fireman emergency indoor positioning system. The system is composed of an outdoor synchronization site, outdoor positioning sites and an indoor positioning terminal which is carried by a fireman. The synchronization site sends a range finding signal to each positioning site; the positioning sites modulate the range finding signals to a local carrier, generate carrier-suppressed double side band amplitude-modulated signals and radiate to the indoor positioning terminal; and the positioning terminal receives the composite signal, recognizes which positioning sites the signals respectively come from, calculates range finding signal phase difference of the positioning sites and calculates three-dimensional coordinates of the positioning terminal according to the hyperbolic positioning theory so as to realize real-time positioning and navigation of the fireman. The system has the following advantages: (1) the positioning sites and the positioning terminal don't need a synchronous circuit; (2) a low-frequency signal has a good wall-penetrating property; (3) the circuit is simple, positioning is easy to realize, and cost is low; (4) the positioning terminal has low power consumption and is small in size; and (5) infrastructure is not required, and the sites can be rapidly distributed and put into use.

Description

technical field [0001] The invention belongs to the technical field of indoor positioning and navigation, and relates to an emergency indoor positioning system for firefighters. Background technique [0002] In recent years, with the increase of high-rise buildings, fire accidents have occurred from time to time. Due to reasons such as unfamiliarity with the floor structure and the influence of smoke, it is difficult for firefighters to locate themselves. This is not conducive to the command personnel to make correct judgments. When firefighters are injured or in an accident, the firefighters themselves cannot find the evacuation route, and the off-site rescue personnel cannot quickly reach the scene. The life safety of firefighters is greatly threatened. , thus missing the best opportunity for self-rescue, how to realize the real-time positioning and tracking of firefighters has become an urgent problem to be solved. [0003] The firefighter positioning system is a special...

AI Technical Summary

Problems solved by technology

[0002] In recent years, with the increase of high-rise buildings, fire accidents have occurred from time to time. Due to reasons such as unfamiliarity with the floor structure and the influence of smoke, it is difficult for firefighters to locate themselves. This is not conducive to the commander to make a correct judgment. When the firefighters are injured or in an accident, the firefighters themselves cannot find the evacuation route, and the off-site rescue personnel cannot quickly reach the scene. The life safety of the firefighters is greatly threatened. , thus missing the best opportunity for self-rescue, how to realize real-time positioning and tracking of firefighters has become an urgent problem to be solved

[0003] The firefighter positioning system is a special indoor positioning system. The existing indoor positioning methods cannot be directly used for firefighter positioning.

This is because: (1) The working environment is harsh: smoky, low visibility, noisy, chaotic, belonging to emergency positioning occasions

(2) Infrastructure damage: If the power supply must be turned off first, this will invalidate the original auxiliary positioning facilities installed indoors. If these auxiliary facilities need to be rearranged, first, it will take time, and second, it may be damaged again. It cannot be recycled, which is labor-intensive and costly

(3) The indoor signal is weak and the error is large: the indoor GPS navigation signal is weak, and indoor positioning cannot be realized. The auxiliary inertial autonomous navigation system can realize indoor navigation to a certain extent, but the inertial autonomous navigation system has large cumulative errors and poor positioning accuracy. high

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