Introduction of Robot Vision on the Aspects from Configuration to Measurement and Control Methods

2016 ◽  
Vol 69 ◽  
pp. 321-321
Author(s):  
T.E.S. Sullivan

With sensors and microprocessors becoming more affordable all the time it is now possible to build inexpensive environmental regulators for small insect colony boxes We designed and built a humidity regulator for xerophilic (dryloving) Nysius bugs Poorly ventilated insect rearing boxes can have an overly elevated humidity that can promote unwanted fungal growth especially if there is live plant material involved Air conditioned laboratories can have very low ambient humidity but the ideal humidity for an insect colony may be intermediate Direct and accurate measurement and control of humidity is now possible electronically using sensors and a fan to pump dry air into a humid space in a controlled fashion to regulate the humidity The potential exits for different sensors to be used to monitor different environmental variables and to trigger equipment to respond when an environmental threshold is reached Environmental control methods can be simple or elaborate depending on the colony requirements and budget A clock and memory card can be added to the microprocessor to record sensor data and event triggers This method has been successfully used to rear the wheat bug Nysius huttoni


1969 ◽  
Vol 2 (10) ◽  
pp. T170-T172
Author(s):  
R. J. McGill

Moisture content is one of the most important papermaking variables. Close control in the process is essential. Accurate knowledge of its absolute value, separated from that of solids, is highly desirable, for process and profit optimisation. A wide variety of measuring equipment and control methods is in use and several installations are described. Outstanding problems include the need to improve measurement reproducibility and independence from the effects of other variables, simplification of calibration and control, wet end measurement and cross-direction profile control. The ultimate aim should be an overall system for moisture and substance, incorporating distribution of measurement and control points throughout the process.


2018 ◽  
Vol 2018 ◽  
pp. 1-18 ◽  
Author(s):  
Liston Matindife ◽  
Zenghui Wang ◽  
Yanxia Sun

This study develops a new integrated measurement and control system for intermixed biogas and photovoltaic systems to achieve safe and optimal energy usage. Literature and field studies show that existing control methods on small- to medium-scale systems fall short of comprehensive system optimization and fault diagnosis, hence the need to revisit these control methods. The control strategy developed in this study is intelligent as it is wholly based on fuzzy logic algorithms. Fuzzy logic controllers due to their superior nonlinear problem solving capabilities to classical controllers considerably simplify controller design. The mathematical models that define classical controllers are difficult or impossible to realize in biogas and photovoltaic generation process. A microcontroller centered fuzzy logic measurement and control embedded system is designed and developed on the existing hybrid biogas and photovoltaic installations. The designed system is able to accurately predict digester stability, quantify biogas output, and carry out biogas fault detection and control. Optimized battery charging and photovoltaic fault detection and control are also successfully implemented. The system is able to optimize the operation and performance of biogas and photovoltaic energy generation.


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