Control system and laser-based sensor design of an automonous vehicle for industrial environments

Author(s):  
Jose M. Sanchiz ◽  
Jorge Badenas ◽  
Filiberto Pla
2014 ◽  
Vol 615 ◽  
pp. 361-364
Author(s):  
Jin Wen Zhu

As the use of automation increases in the manufacturing industry as well as other industrial environments, more programmable logic controllers (PLCs) are used in these areas to increase reliability and flexibility, reduce cost, and increase maintainability. In this proposed paper, a basic of PLC in automation environments is introduced and a bottle filling and packaging process control implemented by using Allen Bradly CompactLogix PLC is discussed.


The advantage of electrochemical sensors and the problems inherent in their use in industrial environments are highlighted by a description of some current on-line analytical systems employing potentiometric and galvanic sensors and their performance in specific applications. A wide variety of aqueous samples is encountered, ranging from extremely dilute, relatively clean solutions to mixtures containing high levels of both dissolved and undissolved species. Sensor design is discussed in the light of these factors and of some of the other constraints within which the manufacture of sensors occurs. Some present trends in the design and use of electrochemical sensors are reviewed to indicate the prospects for the future in this field.


1990 ◽  
Vol 1 (1-6) ◽  
pp. 546-549 ◽  
Author(s):  
Bart H. van der Schoot ◽  
Hans Voorthuyzen ◽  
Piet Bergveld

Author(s):  
Siti Annisa Widyaningrum ◽  
Ratri Ismawati ◽  
Frida Agung Rakhmadi

This research was purposed to design and analyze a resistance sensor. This research was done by three steps which are designing, manufacturing and characterizing of resistance sensor. Sensor design was done by using Fritzing software. The tools we used in manufacturing sensor were PCB, resistor, and copper wire. The tools we used in sensor characterizing were power supply, CRO and samples of pure orange drink and unpure orange drink. Sensor characterizing was done by varying samples of 50 ml and 100 ml. Data acquisitiom for each samples were repeated five times. Data generated from the sensor in the form of voltage. The data result of measurement were calculated by its average and its uncertainty. For pure orange drink 50 mL (2.274 ± 1.137); 100 mL (1.688 ± 0.844) and for unpure orange drink 50 mL (2.582 ± 1.291); 100 mL (1.852 ± 0.926). Therefore in the future we can make quality control system of orange drink by optimizing the manufacture of resistance sensors with high-grade characteristics.


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