On-chip 4to20mA reconfigurable current loop transmitter for smart sensor applications

Author(s):  
Jefferson Daniel de Barros Soldera ◽  
Julio Cesar Saldana ◽  
Cesar Giacomini Penteado ◽  
Hugo Daniel Hernandez ◽  
Raul Acosta ◽  
...  
Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6552
Author(s):  
Juan B. Talens ◽  
Jose Pelegri-Sebastia ◽  
Maria Jose Canet

Analog signals from gas sensors are used to recognize all types of VOC (Volatile Organic Compound) substances, such as toxic gases, tobacco or ethanol. The processes to recognize these substances include acquisition, treatment and machine learning for classification, which can all be efficiently implemented on a Field Programmable Gate Array (FPGA) aided by Low-Voltage Differential Signaling (LVDS). This article proposes a low-cost 11-bit effective number of bits (ENOB) sigma-delta Analog to Digital Converter (ADC), with an SNR of 75.97 dB and an SFDR of 72.28 dB, whose output is presented on screen in real time, thanks to the use of a Linux System on Chip (SoC) system that enables parallelism, high-level programming and provides a working environment for the scientific treatment of gas sensor signals. The high frequency achieved by the implemented ADC allows for multiplexing the capture of several analog signals with an optimal resolution. Additionally, several ADCs can be implemented in the same FPGA so several analog signals can be digitalized in parallel.


2016 ◽  
Vol 19 ◽  
pp. 92-106
Author(s):  
Tobias Lieske ◽  
Denis Shuklin ◽  
Daniel Hohnloser ◽  
Marc Reichenbach ◽  
Benjamin Pfundt ◽  
...  

Smart home automation applications require a dense information network for proper func-tionality. Air-conditioning or filtration systems, for example, must detect airflows caused by openwindows and doors. An unambiguous detection of such airflows can be performed by a distributedsensor network. Current off-the-shelf sensors often lack processing and communication units, resulting in a large design assembly of discrete integrated circuits (ICs) on one printed circuit board (PCB)that requires additional power supply. Distributing such designs within a home without interferingwith the existing surroundings proves to be difficult in terms of acceptance and usability. This paperpresents a solution by offering an integrated design that includes a microelectromechanical system(MEMS) pressure sensor element along with an analog to digital converter (ADC) and a customizableand programmable processing unit. The integration leads to a smaller overall footprint and reducedpower consumption, which positively affects the acceptance rate of distributed smart sensor networksfor home automation. Clear interfaces between the components ensure an extensible and adaptablesystem design suitable for further smart sensor applications, resulting in a smart sensor framework.


Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4675
Author(s):  
Daniel Gis ◽  
Nils Büscher ◽  
Christian Haubelt

Due to upcoming higher integration levels of microprocessors, the market of inertial sensors has changed in the last few years. Smart inertial sensors are becoming more and more important. This type of sensor offers the benefit of implementing sensor-processing tasks directly on the sensor hardware. The software development on such sensors is quite challenging. In this article, we propose an approach for using prerecorded sensor data during the development process to test and evaluate the functionality and timing of the sensor firmware in a repeatable and reproducible way on the actual hardware. Our proposed Sensor-in-the-Loop architecture enables the developer to inject sensor data during the debugging process directly into the sensor hardware in real time. As the timing becomes more critical in future smart sensor applications, we investigate the timing behavior of our approach with respect to timing and jitter. The implemented approach can inject data of three 3-DOF sensors at 1.6 kHz. Furthermore, the jitter shown in our proposed sampling method is at least three times lower than using real sensor data. To prove the statistical significance of our experiments, we use a Gage R&R analysis, extended by the assessment of confidence intervals of our data.


Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5958
Author(s):  
Andrea G. Martinez-Lopez ◽  
David E. Guzmán-Caballero ◽  
Israel Mejia ◽  
Julio C. Tinoco

The development of silicon-based sensor devices has enabled the possibility to pursue novel integrated smart sensor technologies. Under this scenario, capacitive sensor devices are one viable option for implementing different kinds of applications. In this paper, an interdigitated coplanar capacitive device fabricated over a silicon substrate is presented and its potential use as liquid sensor is demonstrated. Additionally, a detailed capacitance model, which includes the parasitic capacitances introduced by the silicon substrate, was developed. The capacitance model has been theoretically validated through finite-element simulations as well as experimentally by comparison with fabricated devices. A polydimethylsiloxane mold has been fabricated and bonded to the sensor device with the aim of defining a cavity to collect the liquid sample into the device’s active region. The active capacitance component correlates to the electric field coupling between adjacent metal lines. Therefore, any change to the dielectric constant of the medium above the coplanar metal lines will produce a change to the device capacitance. Finally, the main guidelines for device performance improvement are depicted.


Author(s):  
Alejandro Márquez Marzal ◽  
Nicolás Medrano ◽  
Belén Calvo ◽  
Pedro A. Martínez

An enhanced digital tuning approach for RC-active circuits is presented. Simulations of a 12-bit CMOS second-order filter provide a 11.46-bit effective resolution to linearly control the frequency over three decades with THD<-70 dB. Its low power, 0.5 mW, and low active area, 0.087 mm2, prove its suitability for on-chip sensing systems.


2018 ◽  
Vol 18 (22) ◽  
pp. 9169-9179 ◽  
Author(s):  
Amandeep Kaur ◽  
Deepak Mishra ◽  
Siddhant Jain ◽  
Mukul Sarkar

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