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基于现场可编程门阵列的可重构智能传感器网络,用于新一代数控机床的无线监测。

A field programmable gate array-based reconfigurable smart-sensor network for wireless monitoring of new generation computer numerically controlled machines.

机构信息

HSPdigital-CA Mecatronica, Facultad de Ingenieria, Campus San Juan del Rio, Universidad Autonoma de Queretaro, Rio Moctezuma 249, 76807 San Juan del Rio, Qro., Mexico.

出版信息

Sensors (Basel). 2010;10(8):7263-86. doi: 10.3390/s100807263. Epub 2010 Aug 3.

DOI:10.3390/s100807263
PMID:22163602
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3231158/
Abstract

Computer numerically controlled (CNC) machines have evolved to adapt to increasing technological and industrial requirements. To cover these needs, new generation machines have to perform monitoring strategies by incorporating multiple sensors. Since in most of applications the online Processing of the variables is essential, the use of smart sensors is necessary. The contribution of this work is the development of a wireless network platform of reconfigurable smart sensors for CNC machine applications complying with the measurement requirements of new generation CNC machines. Four different smart sensors are put under test in the network and their corresponding signal processing techniques are implemented in a Field Programmable Gate Array (FPGA)-based sensor node.

摘要

计算机数控(CNC)机器已经发展到能够适应日益增长的技术和工业需求。为了满足这些需求,新一代机器必须通过集成多个传感器来执行监控策略。由于在大多数应用中,在线处理变量是必不可少的,因此需要使用智能传感器。这项工作的贡献是开发一种符合新一代数控机床测量要求的用于数控机床应用的可重构智能传感器无线网络平台。在网络中测试了四个不同的智能传感器,并在基于现场可编程门阵列(FPGA)的传感器节点中实现了它们相应的信号处理技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/98467bfd54d3/sensors-10-07263f18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/73714020f896/sensors-10-07263f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/5b56ec2073dc/sensors-10-07263f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/9deffe2eaf13/sensors-10-07263f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/8890142ad132/sensors-10-07263f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/d1aaadfc53ed/sensors-10-07263f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/b52d273f7f9a/sensors-10-07263f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/502f49e2f03d/sensors-10-07263f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/ecb574e378fb/sensors-10-07263f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/65ac78db6e23/sensors-10-07263f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/4c3ebfeb3c18/sensors-10-07263f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/5d3c48eb7c6f/sensors-10-07263f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/fa9aa8ba9011/sensors-10-07263f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/e28fce890a57/sensors-10-07263f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/af1982b64c47/sensors-10-07263f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/42e0c0dbae28/sensors-10-07263f15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/c8f4b2e3d49b/sensors-10-07263f16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/34c6044efea9/sensors-10-07263f17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/98467bfd54d3/sensors-10-07263f18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/73714020f896/sensors-10-07263f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/5b56ec2073dc/sensors-10-07263f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/9deffe2eaf13/sensors-10-07263f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/8890142ad132/sensors-10-07263f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/d1aaadfc53ed/sensors-10-07263f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/b52d273f7f9a/sensors-10-07263f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/502f49e2f03d/sensors-10-07263f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/ecb574e378fb/sensors-10-07263f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/65ac78db6e23/sensors-10-07263f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/4c3ebfeb3c18/sensors-10-07263f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/5d3c48eb7c6f/sensors-10-07263f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/fa9aa8ba9011/sensors-10-07263f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/e28fce890a57/sensors-10-07263f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/af1982b64c47/sensors-10-07263f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/42e0c0dbae28/sensors-10-07263f15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/c8f4b2e3d49b/sensors-10-07263f16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/34c6044efea9/sensors-10-07263f17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a255/3231158/98467bfd54d3/sensors-10-07263f18.jpg

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2
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Sensors (Basel). 2008 Nov 19;8(11):7410-7427. doi: 10.3390/s8117410.
3
Novel Oversampling Technique for Improving Signal-to-Quantization Noise Ratio on Accelerometer-Based Smart Jerk Sensors in CNC Applications.
利用可重构硬件为无线传感器节点提供自修复能力。
Sensors (Basel). 2012 Oct 29;12(11):14570-91. doi: 10.3390/s121114570.
4
Design of belief propagation based on FPGA for the multistereo CAFADIS camera.基于 FPGA 的多立体 CAFADIS 相机的置信传播设计。
Sensors (Basel). 2010;10(10):9194-210. doi: 10.3390/s101009194. Epub 2010 Oct 15.
基于加速度计的智能冲击传感器在数控应用中提高信噪比的新型过采样技术。
Sensors (Basel). 2009;9(5):3767-89. doi: 10.3390/s90503767. Epub 2009 May 19.
4
FPGA-based fused smart-sensor for tool-wear area quantitative estimation in CNC machine inserts.基于 FPGA 的融合智能传感器,用于数控机床刀具磨损区域的定量估计。
Sensors (Basel). 2010;10(4):3373-3388. doi: 10.3390/s100403373. Epub 2010 Apr 7.