刘智敏, 杨安秀, 陈景涛, 孙月文. 基于消声水池的多波束测深不确定度检测方法[J]. 武汉大学学报 ( 信息科学版), 2018, 43(6): 908-914. DOI: 10.13203/j.whugis20160069
引用本文: 刘智敏, 杨安秀, 陈景涛, 孙月文. 基于消声水池的多波束测深不确定度检测方法[J]. 武汉大学学报 ( 信息科学版), 2018, 43(6): 908-914. DOI: 10.13203/j.whugis20160069
LIU Zhimin, YANG Anxiu, CHEN Jingtao, SUN Yuewen. Detecting Method of Uncertainty in Multi-beam Echosounding Based on the Anechoic Tank[J]. Geomatics and Information Science of Wuhan University, 2018, 43(6): 908-914. DOI: 10.13203/j.whugis20160069
Citation: LIU Zhimin, YANG Anxiu, CHEN Jingtao, SUN Yuewen. Detecting Method of Uncertainty in Multi-beam Echosounding Based on the Anechoic Tank[J]. Geomatics and Information Science of Wuhan University, 2018, 43(6): 908-914. DOI: 10.13203/j.whugis20160069

基于消声水池的多波束测深不确定度检测方法

Detecting Method of Uncertainty in Multi-beam Echosounding Based on the Anechoic Tank

  • 摘要: 目前国内多波束测深系统质量检验不够成熟,仪器质量和测量数据的可靠性和准确性都无法得到保证,为此,提出一种基于消声水池的多波束测深不确定度检测方法。通过建立基于消声水池的测深声呐检测硬件、软件平台,削弱了由于实验环境带来的各种误差及不确定度因素的影响,提高了检测的精度与可信度。对R2 Sonic2024型多波束测深仪进行几何指标检定实验和精度评定分析,精度较高的中央波束水深值总误差服从正态分布,计算其置信区间及落入置信区间的概率,剔除不符值,使其满足置信度为95%,并计算比对差均值。实验结果表明,该多波束测深不确定度检测方法切实可行,能比较客观地用于多波束测深不确定度检测。

     

    Abstract: As domestic research of multi-beam echosounding detection is not mature, the reliability and accuracy of equipment quality and measurement data cannot be guaranteed. In view of this situation, this paper puts forward an uncertainty detection method of multi-beam echosounding based on an anechoic tank. The establishment of the detection software platform of sonar echosounding and the detection hardware platform of sonar echosounding based on the anechoic tank, eliminates or weakens the influence of the various errors and uncertainty factors caused by the experimental environment, thus greatly improving the accuracy and reliability of detection. Through detecting geometric index and precision evaluation analysis of the R2 Sonic2024 multi-beam echosounder the depth values of central beams are made to conform to normal distribution, the confidence interval is calculated, and the probability of falling into a confidence interval to eliminate discrepancy, to fit a confidence level of 95%, andcalculate the average of different values. The experimental results show that the uncertainty detection method of multi-beam echosounding is feasible; it can be used to objectively detect the uncertainty of multi-beam echosounder.

     

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