面向钻孔救援的超宽带雷达技术研究现状与方向

Research status and direction of ultra-wide band radar technology for borehole rescue

  • 摘要: 针对目前基于视音频的钻孔生命信息识别技术在矿山救援过程中所面临的视频遇障失效和声波衰减速度快的问题,研究了能穿透煤岩体、砖墙等障碍物进行非接触式测量,实现生命信息识别的超宽带(UWB)雷达技术。从UWB电磁波的传输衰减特性、杂波的滤除与优化、目标生命识别方法3个方面分析了UWB雷达技术在矿山钻孔救援中应用的现状和存在的问题:① UWB电磁波可对障碍物后人员生命信息进行识别与定位,其衰减与电场强度、磁场强度、频率和介质有关,但目前针对UWB电磁波传输衰减特性的研究缺乏对不同温度、探测频率、变质程度下各种煤岩体与UWB电磁波传输衰减之间的关系研究,对UWB电磁波的频率、入射角、极化形式等关键参数及变化特征与UWB电磁波衰减的关系研究较少。② 采用经验模态分解法、MUSIC算法等方法可以对UWB电磁波中的杂波进行滤除,但缺乏对杂波滤除后有效波特征和信息的准确提取和科学表征,难以提高生命信息特征提取与识别的速度与精度。③ UWB电磁波可以实现对障碍物后多目标人员生命体征如呼吸或心跳的捕捉,采用多雷达观测点可以提高低信噪比环境下生命信息探测的准确性,但目前的研究缺乏对呼吸、心跳、胸腔起伏、体温等多方位、多角度的系统识别与量化分析,缺乏对生命信息识别模型的优化方法。针对存在的问题,指出了UWB雷达技术在矿山钻孔救援应用中的研究方向:① 研究不同条件下各煤岩体自身性质和电磁波相关参数对UWB电磁波在煤岩体中传输衰减的影响,得出其传输衰减规律。② 研究适用于矿井环境下杂波的滤除优化与回波特征提取算法,利用回波中的有效特征建立学习样本数据库。③ 构建适用于矿井环境的人员生命信息识别模型,结合样本数据库对模型不断优化,以提高生命信息识别的精度和速度。

     

    Abstract: In the mine rescue process, the current video and audio based borehole life information identification technology has the problems of video obstacle failure and fast speed of sound wave attenuation. In order to solve the above problems, the ultra-wide band (UWB) radar technology that can penetrate coal rock bodies, brick walls and other obstacles for non-contact measurement and realize life information identification is studied. The application status and existing problems of UWB radar technology in mine borehole rescue are analyzed from three aspects, including UWB electromagnetic wave transmission attenuation characteristics, clutter filtering and optimization, and the target life identification method. ① UWB electromagnetic waves can detect and locate the life information of people behind obstacles. Its attenuation is related to the electric field, magnetic field strength, frequency and medium. However, the current research on the attenuation characteristics of UWB electromagnetic wave transmission lacks the research on the law relationship between various coal and rock masses and UWB electromagnetic wave transmission attenuation at different temperatures, detection frequencies, and metamorphic degrees. There are few researches on the relationship between UWB electromagnetic wave frequency, incident angle, polarization form and other key parameters and change characteristics and UWB electromagnetic wave attenuation. ② The methods such as empirical mode decomposition method and MUSIC method can filter the clutter in UWB electromagnetic waves. But the methods lack accurate extraction and scientific representation of effective wave characteristics and information after clutter filtering, which makes it difficult to improve the speed and accuracy of life information characteristics extraction and identification. ③ UWB electromagnetic waves can capture the life signs of multiple target people behind obstacles, such as breathing or heartbeat. The use of multiple radar observation points can improve the accuracy of life information detection in a low signal-to-noise ratio environment. However, the current research lacks systematic identification and quantitative analysis of breathing, heartbeat, chest undulation, body temperature in multiple directions and from multiple angles. And the current research lacks an optimized method for life information identification models. In order to solve the existing problems, the research directions of UWB radar technology for borehole rescue application are pointed out as follows. ① It is proposed to study the influence of the properties of coal and rock masses and electromagnetic wave related parameters on the transmission attenuation of UWB electromagnetic wave in coal and rock masses under different conditions. The law of transmission attenuation is obtained. ② It is suggested to study on clutter filtering optimization and echo characteristic extraction algorithms suitable for mine environment, and use the effective characteristics in the echo to establish a learning sample database. ③ It is proposed to construct the personnel life information identification model applicable to the mine environment, and continuously optimize the model with the sample database to improve the accuracy and speed of life information identification.

     

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