用于河床输沙监测的小型智能卵石快速成型的混合信号法

N. Kularatna, C. Wijeratne, B. Melville
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引用次数: 13

摘要

利用低成本加速度计和陀螺集成电路研制了智能泥沙粒子,用于研究河流中泥沙的运移。通过捷联式MEMS,电池,处理子系统和存储器,该自包含单元可捕获持续时间长达15分钟的半处理数据。在混合模式设计中,具有有限数字电路的模拟乘法器ic使用欧拉角将体帧数据转换为参考帧,尽管存在累积误差,但仍具有足够的精度。对于3D运动,来自三个正交模块的多达9个传感器输入耦合到多路模拟处理模块,并由数字模块进行数据转换和存储。尽管使用了简化的数学,但来自概念验证系统的实验数据提供了足够的准确性。随后使用带有智能算法的外部PC程序对原始传感器数据进行处理,可以比较混合模式方法的准确性。采用的混合信号设计方法有助于满足由于记录持续时间短的问题的特定性质而产生的封装要求
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Mixed signal approach for rapid prototyping of a compact smart pebble for sediment transport monitoring in river beds
Low-cost accelerometers and gyro ICs were used to develop a smart sediment particle to study the sediment transport in rivers. With strap-down MEMS, battery, a processing subsystem and memory, this self contained unit captures semiprocessed data for durations up to 15 minutes. In a mixed-mode design, analog multiplier ICs with limited digital circuits transform the body frame data to a reference frame using Euler angles, with adequate accuracy despite cumulative errors. For 3D motion, up to nine sensor inputs from three orthogonal modules are coupled to a multiplexed analog processing module, and processed by a digital module for data conversion and storage. Despite the simplified mathematics used, experimental data from the proof-of-concept system provided adequate accuracy. Subsequent processing of the raw sensor data using an external PC program with smart algorithms allowed the comparison of accuracy of the mixed mode approach. The adopted mixed signal design approach helps the packaging requirements due to the specific nature of the problem with short recording durations
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