首页> 外文OA文献 >The Newton’s Polynomials Interpolation Based-Error Correction Method for Low-Cost Dive Altitude Sensor in Remotely Operated Underwater Vehicle (ROV)
【2h】

The Newton’s Polynomials Interpolation Based-Error Correction Method for Low-Cost Dive Altitude Sensor in Remotely Operated Underwater Vehicle (ROV)

机译:基于牛顿多项式插值基于遥控水下车辆低成本潜水高度传感器的纠错方法(ROV)

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Indonesia is the one of the countries with the largest of sea area. However, the water surveillance categorized as minimum. The human resource and the low level of infrastructure are the causal of the minimum level of water surveillance. The human involvement of water surveillance has many weaknesses, such as weak against the change of the nature condition, limitation in reaching location, weak against water turbidity levels and water pollution. The utilization of ROV (Remotely Operated Underwater Vehicle) could be a solution in water surveillance problem. The development of ROV still not significant in Indonesia. The development costs are also a problem in development of ROV. Many researcher using USBL (Ultra Short Base Line) sensor to sense the depth of the ROV. However, the cost of this sensor is relatively expensive. The usage of low-cost pressure sensor could be a solution to replace the USBL sensor. The low-cost pressure sensor has a significant deviation. The implementation of Newton's polynomials interpolation algorithm has been used to decreased the deviation level of the sensors. The result shows the algorithm has succeeded to decreased the deviation level of the pressure sensor significantly. The default sensor has significant MSE value of 42956.2. The Newton interpolation algorithm has been succeeded to reducing the MSE value to 17.82. The result of this research is expected to reduce the cost of the ROVs development especially for sensors cost.
机译:印度尼西亚是海域最大的国家之一。但是,水监测分为最低限度。人力资源和低水平的基础设施是最低水平的因果程度。水监测的人类参与具有许多弱点,例如对自然条件的变化弱,达到位置的限制,危及水浊度水平和水污染。利用ROV(远程操作的水下车辆)可能是水监测问题的解决方案。 ROV的发展在印度尼西亚仍然不显着。开发成本也是ROV发展的问题。许多研究人员使用USBL(超短基线)传感器感测ROV的深度。然而,该传感器的成本相对昂贵。低成本压力传感器的使用可能是更换USBL传感器的解决方案。低成本压力传感器具有显着的偏差。牛顿多项式插值算法的实施已被用于降低传感器的偏差水平。结果表明该算法成功地显着降低了压力传感器的偏差水平。默认传感器具有显着的MSE值为42956.2。牛顿插值算法已经成功地将MSE值缩小为17.82。该研究的结果预计将降低ROVS开发的成本,特别是对于传感器成本。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号