bullet Sensors Interfaces, Buses, Networks and Signal Conditioning

 

Sensors News                                                                                                                  Last Up-date: 11/07/15 22:28:27

 

Frequency Interfaces Replace A/D Cards -  TW Series offer alternatives to A/D cards on PLCs, computers, and data acquisition systems. TWI-FO and TWN-FO convert analog signal into linear-frequency output signal. They can be used with PLC to convert 4-20mA signal into frequency, allowing direct connection into PLC's digital input. Other models serve as interface between Trimec DP490 Flow Transducer and PLC, or have photodiode light sensor in sealed case for high-precision linear applications ...

 

 

 

Articles, Papers, Abstracts and References

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1.

Xiujun Li, Frank M. L. van de Goes, Gerard C.M. Meijer, Rolf de Boer, Universal Transducer Interface: Specifications and Applications, Sensor Review, Vol.22, No.1, 2002, pp.51-56

Abstract: This paper describes the typical specifications and features of a novel low-cost and high-performance universal transducer interface (UTI). The easy-to-use interface enables fast prototyping of systems with capacitive sensors, platinum resistors, thermistors, resistive bridges and potentiometers. It is shown that a high accuracy and reliability can be obtained by applying a combination of advanced techniques, such as, auto-calibration, advanced chopping and dynamic element matching. Examples of smart sensor system, using the UTI and the popular microcontrollers, Intel 87C51FX and PIC 16C73, have been presented.

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2.

A. Custodio, R. Bragos, R. Pallas-Areny, A Novel Sensor-Bridge-to-Microcontroller Interface, IEEE Instrumentation and Measurement Technology Conference , Budapest, HUNGARY, May 21-23, 2001

Abstract: An alternative method to interface a sensor bridge to a microcontroller that does not need any active component between the bridge and the microcontroller. The absolute error for a 15 psi (103.4 kPa) pressure sensor with 5000 Ohm arms and a full-scale output of 125 mV is below 0.05% of full scale, which is better than 1 LSB for an 11 bit ADC.

3.

A. Custodio, R. Pallas-Areny, Error Analysis and Reduction for a Simple Sensor-Microcontroller Interface, IEEE Transactions on Instrumentation and Measurement, Vol.50, No.6, December 2001, pp. 1644-1647.

Abstract: Two simple methods of reducing zero, gain and nonlinearity errors for sensors with a wide dynamic range are described in the article. Both methods use time-ratio measurements. The first method uses several reference resistors covering the sensor resistance range; the second method uses two-point calibration. The second method is more efficient and yields errors that can be smaller than 0.5 Ohm for a sensor resistance from about 600 Ohm to 3550 Ohm.

4.

P.Cach, P. Fiedler, F. Zezulka, Sensor/Actuator Web Oriented Interface, In Proceedings of the IFAC Workshop on Programmable Devices and Systems (PDS' 2001), Gliwice, 22-23 November 2001, pp.2-5.

Abstract: This paper describes data acquisition device that was designed to collect data from smart sensors of temperature, pressure, flow, etc. The device contains an Ethernet interface, a web server and a ftp server so all acquired data can be reached over the Internet.

5.

N. Yazdi, A.Mason, K.Najafi, K.D. Wise, A Generic Interface Chip for Capacitive Sensors in Low-power Multi-parameter Microsystems, Sensors and Actuators 84 (2000) 351-361.

Abstract: This paper presents a generic low-power sensor interface chip compatible with smart microsystems and a wide range of capacitive transducers. The interface chip is highly programmable, can communicate with an external microcontroller using a nine-line sensor bus standard. The circuit can interface with up to six external sensors and contains three internal programmable reference capacitors in the range of 0.15 - 8 pF.

6.

V. Ferrari, C. Ghidini, D. Marioli, A. Taroni, A Conditioning Circuit for Resistive Sensors Combining Frequency and Duty-cycle Modulation of the Same Output Signal, Meas. Sci. Technol., 8, 7, (1997) 827-829 

7.

D.P.Lane, Sensor Gateway to Fieldbuses, Sensor Review, Vol.17, No.3, 1997, pp.211-216.

Abstract: Describes the modularity and flexibility of the WAGO I/O systems allowing connectivity of sensors and actuators to PLCs and PCs via the major fieldbus systems, and concludes that a modular approach leads to a greater saving in installed costs, installation and commissioning times for factory automation projects.

8.

Andy McFarlane, Fieldbus Review, Sensor Review, Vol.17, No.3, 1997, pp.204-210

Abstract: Discusses the main concepts of fieldbuses, describes various standards that have been adopted and analyses their various merits. Provides contact details for the different standards.

9.

Wilson P.D., Spraggs R.S., Hopkins S.P., Universal Sensor Interface Chip (USIC): Specification and Applications Outline, Sensor Review, Vol.16, No.1, 1996, pp.18-21

Abstract: The universal sensor interface chip (USIC) represents a complete signal processing capability for data acquisition systems designed to support a wide range of sensor applications. Offers high performance with flexibility and requires only a small number of external components for many applications.

10.

G. Ferri, P. Laurentiis, A 1.4 V Oscillator for CMOS Capacitive Sensor Interfaces, In Proceedings of the 12th European Conference on Solid-State Transducers and the 9th UK Conference on Sensors and their Applications, Southampton, UK, 13-16 September 1998, EUROSENSORS XII, Ed. by N. M. White, Institute of Physics Publishing Bristol and Philadelphia, Sensors Series, volume 2, pp. 887-890.

11.

H. Baltes, A. Häberli, P. Malcovati, and F. Maloberti, Smart Sensor Interfaces, Proceedings of IEEE International Symposium on Circuits and System (ISCAS `96) , vol. IV, Atlanta, USA, pp. 380-383, 1996.

Abstract - The importance of integrated microsystems is continuously growing because of the combination of two trends: the progress of the silicon sensor technology and the introduction of new circuit techniques for designing the interface circuits. This paper reviews the most common issues in smart sensor design in terms of three examples, a UV detection system, a magnetic vector probe and an air conditioning multisensor, which require increasingly complex and sophisticated interface circuits. The experimental results reported demonstrate the effectiveness of the microsystems approach in several application areas.

12.

P. Malcovati, H. Baltes, and F. Maloberti, Progress in Microsensors Interfaces, Chapter 4 in: Sensor Update , vol. 1: Sensor Technology - Applications - Markets , VCH, Germany, pp. 144-165, 1996.

Abstract - The complexity and the smartness of microsensor systems have been increasing over the last years. This is accompanied by the rapid evolution of sensor interfaces. Starting from simple on-site signal conditioning followed by transmission to a remote processor, we are now moving towards full integration of sensors and complex signal processors on a single chip. This evolution is very attractive for compact and portable systems. However, it implies that interface circuits, the most critical part of the processing chain, are exposed to the same physical or chemical quantities that the sensor has to detect. The architectures and circuit techniques used to design sensor interfaces must take this requirement into account. In particular, circuits have to operate at low voltage and low power and systems have to be significantly robust. To achieve commercially viable products it is necessary to meet a number of economic and technical requirements that can only be fulfilled by batch-manufactured systems. This means that conventional integrated circuit (IC) technologies (CMOS, bipolar or BiCMOS) must be used, followed by post-processing steps, if necessary. All these aspects make the design of microsensor systems and, more specifically, of interface circuits challenging. In this chapter we provide indications for the choice of the best architecture and the most suitable circuit implementation. Since the range of possible solutions is very wide, we decided to provide a number of specific examples describing innovative circuit solutions.

13.

F. Maloberti, Microsystems and Smart Sensor Interfaces, Proceedings of Norchip Conference , Helsinki, Finland, pp. 122-133, 1996.

Abstract - Future integrated microsystems will benefit significantly from progress in the VLSI field. Two key elements will boost the implementation of new micro-integrated architectures: progress in batch-manufactured silicon sensors and the introduction of new circuit techniques for designing interface circuits. These two factors will be essential in favoring the transition from the present "research driven speculations" to "customer driven activities". This paper discusses the key issues for realizing post-processed sensors and the most suitable circuit techniques for interfacing and processing their output signals. A number of examples of integrated structures will illustrate present problems and possible solutions.

14.

F. Maloberti, and P. Malcovati, Microsystems and Smart Sensor Interfaces: a review, Journal of Analog Integrated Circuits and Signal Processing , vol.15, pp.9-26, 1998.

Abstract - Future integrated microsystems will benefit significantly from progress in the VLSI field. Two key elements will boost the implementation of new micro-integrated architectures: progress in batch-manufactured silicon sensors and the introduction of new circuit techniques for designing interface circuits. These two factors will be essential in favoring the transition from the present "research driven speculations" to "customer driven activities". This paper discusses the key issues in realizing microsensors and the most suitable circuit techniques for interfacing and processing their output signals. A number of examples of integrated structures will illustrate present problems and possible solutions.

15.

F. Maloberti, V. Liberali, and P. Malcovati, Signal Processing for Smart Sensors, Proceedings of Brazilian Symposium on Integrated Circuit Design (SBCCI `98) , Búzios, Brazil, pp. 141-148, 1998.

Abstract - Future integrated systems will benefit significantly from the progress in batch-manufactured silicon sensors and signal processing techniques. This paper presents various design examples to illustrate specific problems and solutions associated with front-end electronics, data converters and signal processing functions for smart sensors.

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Michael G. Corr and C. M. Okino. Networking Reconfigurable Smart Sensors. In Proceedings of SPIE: Enabling Technologies for Law Enforcement and Security, November, 2000.

Abstract: The advances in sensing devices and integrated circuit technology have allowed for the development of easily "reconfigurable smart sensor" products. Primarily utilizing commercial off-the-shelf (COTS) components, we have developed reconfigurable smart sensor, consisting of a microprocessor, GPS receiver, RF transceiver, and sensor. The standard serial control interface allows for ease of interchangeability for upgrades in RF transmission schemes as well as customizing the sensing device (i.e. temperature, video images, IR, motion, Ethernet) per application. The result is a flexible module capable of gathering sensor data, local processing, and forwarding compressed information to a central location via other module. In this paper, we present our system infrastructure design and a cost function based geographical self-routing algorithm for networking reconfigurable smart sensors. The algorithm allows for the sensors to automatically negotiate in a geographical radial topology relative to a central location, utilizing other sensors as routes or hops for forwarding information to this central location. A number of these sensors are deployed in the field and performance measurements for routing times are analyzed and presented.

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Precision Smart Sensor Signal Conditioner Provides 16-Bit Correction

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New ICs Revolutionize The Sensor Interface

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Design of a Low-Power, Portable Sensor System Using Embedded Neural Networks and HW Preprocessing

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Oliver Kasten, Marc Langheinrich, First Experiences with Bluetooth in the Smart-Its Distributed Sensor Network
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Chenyang Lu Brian M. Blum Tarek F. Abdelzaher John A. Stankovic Tian He, RAP: A Real-Time Communication Architecture for Large-Scale Wireless Sensor Networks, In Proceedings on The 8th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2002) September 24 – 27, 2002 San Jose, California

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Philip Buonadonna, Jason Hill, David Culler, Active Message Communication for Tiny Networked Sensors

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I. F. Akyildiz, W. Su, Y. Sankarasubramaniam and E. Cayirci, Wireless Sensor Networks: a Survey

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Kevin Delin, Shannon Jackson, and Raphael Some, Sensor Webs

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Michael G. Corr, C. M. Okino, Networking Reconfigurable Smart Sensors

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Charles Hand, Artificial Neural Networks for Organizing Sensor Webs

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Internet/IEEE 1451 Interface via Ethernet. EM04a: Network Capable Application Processor (NCAP) with TCP/IP/Ethernet Protocols and Multiple Serial Port Options

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PWM Outputs Enhance Sensor-Signal Conditioners

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Terry Costlow, Web Sensing, Design News, October 2004

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Zakrzewski J., Error Propagation in Interface Electronics for Passive Sensors

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David E. Culler, Hans Mulder, Smart Sensors to Network the World

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Kate Greene, Sensor Networks For Dummies, Technology Review, March 2006

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Jim Pinto, Intelligent Sensor Networks

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Richard Steigmann, WISA - Wireless Interface for Sensors and Actuators, Industrial Wireless Book, Issue 10:1

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Brendan Cronin, Designing Intelligent 4-20 mA Transducers, Sensors Magazine, Vol.23, No.8, August 2006, pp.17-19, 29.

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Sensor Signal Conditioning, Section 4:, Op Amp Applications Handbook, ed. by Walt Jung, Newnes, 2005

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Ali J. Rastegar and Janusz Bryzek, A High-Performance CMOS Processor for Piezoresistive Sensors, Sensors Magazine, October 1997

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Leslie Logan, Are You on the Right Bus? Sensors Magazine, August 1997

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Jay Warrior, Smart Sensor Networks of the Future, Sensors Magazine, March 1997

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Ed Ramsden, Interfacing Sensors and Signal Processing Components, Sensors Magazine, May 1998

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Leslie Brooks, Robert Galter, Taking the Signal Conditioning Out of the Computer, Sensors Magazine, February 1999

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Mark Fondl, Lynn Linse, The Future of Network Sensors, Sensors Magazine, December 2000

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Bruce Negley, Getting Control Through CAN, Sensors Magazine, October 2000

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Mike Dunbar, Where Wireless Sensor Communications and the Internet Meet, Sensors Magazine, September 2000

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Wayne W. Manges, Wireless Sensor Network Topologies, Sensors Magazine, May 2000

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Wayne W. Manges, Glenn O. Allgood, Stephen F. Smith, Timothy J. McIntyre, and Michael R. Moore, Eric Lightner, Intelligent Wireless Sensors for Industrial Manufacturing, Sensors Magazine, April 2000

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Jörg Stecker, New, Integrated Interface ASICs for Capacitive Measurement Technology, Sensors Magazine, February 2001

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John S. Rinaldi, The System on a Chip, Sensors Magazine, September 2002

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Perry S. Marshall, Putting Sensors on Ethernet—A Good Fit or a Bad Idea ? Sensors Magazine, September 2002

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Joachim F. Quasdorf, BiSS, an Open Digital Interface Standard for Smart Sensors, Sensors Magazine, November 2003

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Steve Harrold, Designing Sensor Signal Conditioning with Programmable Analog ICs, Sensors Magazine, May 2003

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C. Lynch, F.O’ Reilly, Processor Choice For Wireless Sensor Networks, in Proceedings of  Workshop on Real-World Wireless Sensor Networks (REALWSN'05), June 20-21, 2005, Stockholm, Sweden

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B. Karlsson, O. Bäckström, W. Kulesza, L. Axelsson, Intelligent Sensor Networks - an Agent-Oriented Approach, in Proceedings of  Workshop on Real-World Wireless Sensor Networks (REALWSN'05), June 20-21, 2005, Stockholm, Sweden

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J. Lönn , J. Olsson, S. Gong, ZigBee-ready modules for sensor networking, in Proceedings of  Workshop on Real-World Wireless Sensor Networks (REALWSN'05), June 20-21, 2005, Stockholm, Sweden

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M. Connolly, F. O’Reilly, Sensor Networks and the Food Industry, in Proceedings of  Workshop on Real-World Wireless Sensor Networks (REALWSN'05), June 20-21, 2005, Stockholm, Sweden

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Smutny Lubomír, Measurement and Control Systems with Smart Sensor and Actuators in Industrial LAN Environment

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The Future of GPIB

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Björn Karlsson, Oscar Bäckström, Wlodek Kulesza, Leif Axelss, Intelligent Sensor Networks - an Agent-Oriented Approach, in Proceedings of Workshop on Real-World Wireless Sensor Networks (REALWSN 2005),June 20-21, 2005, Stockholm, Sweden

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Choosing the Right Bus for Your Measurement  Application

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Smart Interfaces for Sensors, in Proceedings of Sensor Expo 2001, Chicago, IL

 

 

Parallel Port Central - A collection of files and links to material about the PC's parallel port, ECP, EPP, bidirectional, and IEEE-1284 modes (and other I/O ports (USB, Serial) as well). It contains lots of great information on how to read/write the parallel port for data acquisition or control

 

Home of Web Sensors - Smart Sensors with an Internet Address

 

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Sensors related books are available for purchase online

in association with Amazon.com

 

[1]. Kirianaki N.V., Yurish S.Y., Shpak N.O., Deynega V.P., Data Acquisition and Signal Processing for Smart Sensors, 2002 (Hardcover, 320 pages)

[2]. Ramon Pallas-Areny, John G. Webster, Sensors and Signal Conditioning, 2001 (Hardcover, 608 pages)

[3]. Henry Baltes, Sensors: A Comprehensive Survey, Update 9, 2001 (Hardcover, 414 pages)

[4]. Randy Frank, Understanding Smart Sensors, 2000 (Hardcover, 320 pages)

[5]. Peter Elgar, Sensors for Measurement and Control, 1998 (Paperback, 165 pages)

[6]. C. Di Natale, A. D'Amico, P. Siciliano, Sensors and Microsystems, 2000, (Hardcover, 512 pages)

[7]. F. F. Driscoll, R. F. Coughlin, R. S. Villanucci, Data Acquisition and Process Control with the M68HC11 Microcontroller, 2000,  (Hardcover, 779 pages)

[8]. Gert van der Horn, Integrated Smart Sensors, 1997, (Hardcover, 212 pages)

 

 

 

 

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