A 0.20 $\text {mm}^2$ 3 nW Signal Acquisition IC for Miniature Sensor Nodes in 65 nm CMOS

2016 ◽  
Vol 51 (1) ◽  
pp. 240-248 ◽  
Author(s):  
Pieter Harpe ◽  
Hao Gao ◽  
Rainier van Dommele ◽  
Eugenio Cantatore ◽  
Arthur H. M. van Roermund
Author(s):  
Inhee Lee ◽  
Suyoung Bang ◽  
Yoonmyung Lee ◽  
Yejoong Kim ◽  
Gyouho Kim ◽  
...  

2011 ◽  
Vol 2-3 ◽  
pp. 441-446
Author(s):  
Jian Chao Gao ◽  
Hai Bao Guo ◽  
Li Na Hao ◽  
Yun Gong Li

This research aims at the problem in the vibration signal monitoring area that few of systems based on wireless sensing technology are developed to deal with the problem of vibration specially. The paper presents a system based on wireless acceleration transducer network, which integrated the function of vibrating signal acquisition and processing. The system is tested in vibration bench. The operation of the system is simple and intuitive. Researchers could achieve the operation of collecting and analyzing signal, setting the parameter of the sensor nodes and monitoring the state of the network. The presented system provides users friendly interface to make it easy to do some researches about vibration signal acquisition, processing and analysis. Additionally, the system provides some program interfaces, with which users can easily do secondary development work and perfect the system.


2016 ◽  
Vol 12 (1) ◽  
pp. 17 ◽  
Author(s):  
Kai Zheng ◽  
Yun Zhang ◽  
Lei Liu ◽  
Chen Zhao

Low-speed machines play an important role in industrial production, and the condition monitoring of these machines is of great importance. Monitoring with wireless sensor network (WSN) has many advantages. To monitor the condition of low-speed machines, we need to acquire low-frequency, weak and hardly-varying physical signals. As such, we designed a WSN system for high-precision signal acquisition. Actual measurement results showed that the acquisition precision of nodes could reach 0.01 mV. When the sensor nodes continuously acquired and sent data, the energy conversion efficiency was higher than 90% and the nodes’ power consumption came to about 110mW. The WSN system was designed based on the low-power consumption 802.15.4 MAC/Zigbee, and the WSN was built through MESH topology. Data transmission was stable and the PER was lower than 1%. The measurement results under laboratory and industrial field conditions showed that the WSN system designed met the requirements for on-site data acquisition and monitoring of low-speed machines.


Wireless Sensor Network (WSN) comprises of huge quantity of miniature sensor nodes (SNs) with certain limitation of computer resources which capable for sensing, gathering, data processing and wireless communication. Since most of the SNs are powered by traditional batteries, it can be inconvenient due to their limited lifespan. In this paper, a thermoelectric generator (TEG) is used as thermal energy harvester with the intention to extend the SN lifespan. Since the output voltage generated by this TEG is insufficient to power up the node, a DC-DC step-up converter circuit based on MAX757 integrated circuit is designed to step up the output voltage produced from TEG up to 3V. The SN required an average power which is about 25mW in the active mode and 60µW when it is in sleeping mode. This node can transmit data whenever there is at least a temperature gradient of 15℃ between the hot and cold surface of TEG.


2013 ◽  
Vol 341-342 ◽  
pp. 650-654 ◽  
Author(s):  
Yong Xian Song ◽  
Yuan Feng ◽  
Xian Jin Zhang

This paper took wireless sensor network (WSN) as the data transmission way and used the LabVIEW platform, and design multifunctional virtual instrument system with signal acquisition, demonstration, analysis, storage and the historical data inquiry to implement remote operation of gas monitoring.In terms of hardware design, the wireless sensor nodes and radio frequency circuit were mainly designed, and in terms of software design, the wireless communication procedures and LabVIEW program were mainly designed. The data of measured objects were collected in real time by wireless sensor nodes, and were sent to wireless main nodes through the ZigBee wireless technology. The wireless main nodes received data of all wireless sensor nodes, and the data are encapsulated into USB package and submitted to PC, then were processed through LabVIEW platform. The system was characterized with its low power consumption, high precision, simple design, convenient operation, friendly interface and good reliability.


2014 ◽  
Vol 43 (1) ◽  
pp. 3-23 ◽  
Author(s):  
Teemu Nyländen ◽  
Jani Boutellier ◽  
Karri Nikunen ◽  
Jari Hannuksela ◽  
Olli Silvén

Author(s):  
Teemu Nylanden ◽  
Jani Boutellier ◽  
Karri Nikunen ◽  
Jari Hannuksela ◽  
Olli Silven

2013 ◽  
Vol 330 ◽  
pp. 373-379
Author(s):  
Zi Xue Qiu ◽  
Zhi Xin Chen ◽  
Jiang Yuan ◽  
You Wei Wang ◽  
Jie Yang ◽  
...  

A new method of structural health monitoring based on sensor-tags using radio frequency power to energize node wirelessly is proposed. A modular RFID sensor-tag, which has the function of signal conditioning, energy harvesting, and wireless transmission, is designed for some sensing elements commonly used in structural health monitoring, such as resistance strain gauges, piezoelectric ceramic and shape memory alloy (SMA). Sensor-tags receive energy which is the feedback of reader antenna coupling and provide power for sensor nodes. It overcomes defects of wireless sensor network (WSN) powered by battery, such as weak capabilities of processing, storage and communication. Stretching, bending and impact tests show that the system can achieve reliable signal acquisition and wireless transmission, the wireless communication distance between tag and reader is up to 128 meters, bit error rate of signal transmission 2 %.


2021 ◽  
Vol 2095 (1) ◽  
pp. 012014
Author(s):  
Qingpu Meng ◽  
Fuguang Huo ◽  
Song Teng ◽  
Zushan Ding ◽  
Tun Gu ◽  
...  

Abstract An autonomous vibration-sensing system including of ring magnetoelectric energy scavenger, an energy management module, a plurality of wireless acceleration sensor nodes and APP mobile terminal for power transmission lines monitoring was presented. The ring-type ferrite/piezoelectric composite with strong magnetoelectric couplings and a coil wound around it is used to scavenge the electromagnetic energy around the conductor, and the energy management module successively fulfill the functions of inductive/capacitive resonance matching, rectification and voltage stabilization and storage/release of the scavenged electric energy, and then provides driving power for signal acquisition and data transmission of 4G wireless acceleration sensor nodes. Testing results show that the collected energy can fulfill the power-supplying requirements of ADXL345, and the real-time as well as historical data curves within a specified time can be acquired through 4G and narrowband internet of things technologies.


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