scholarly journals Virtual Distributed Supervision and Control for an Automated Greenhouse.

Author(s):  
Jorge Hernández Camacho ◽  
Laura E. Muñoz Hernández ◽  
Juan Carlos Acosta Guadarrama ◽  
Virgilio López Morales

In order to have an optimal production in a Green-house, it is necessary to regulate the artificial micro-environment. By controlling the main physical variables (temperature, humidity, irrigation cycles, etc.) as well as the variables involved in the rates of plants growing (nutrients, sun radiation, water, etc.), the plant’s production quality, the energy and water consumption can be optimized. For instance, temperature and humidity can be regulated by opening or drawing the ventilation system or domes or by heating or circulating the air inside the greenhouse. These tasks should be constantly supervised by a supervised distributed communication system. In this paper, we propose a distributed serial communication system based on microcontrollers to monitoring and supervising the process via Internet, in order to achieve the on-line supervision and control of the greenhouse operation and environmental conditions as well as the main variables (temperature, humidity, irrigation cycles, etc.).

Author(s):  
Jaho Seo ◽  
Amir Khajepour ◽  
Jan P. Huissoon ◽  
Young-Jun Park

Thermal control is a key issue for injection moulding process due to its effects on production quality and rate. In this study, an on-line thermal control strategy is provided for effective thermal management in plastic injection moulding process. The strategy covers for methods in determining sensor locations as a prerequisite step for modeling and control, identifying a thermal dynamic model of a mould with uncertainties and designing a cavity wall temperature controller. A verification of the designed controller’s performance is carried out from the viewpoints of accuracy in on-line temperature tacking and response time under different injection moulding process with various cycle-times.


1994 ◽  
Vol 33 (01) ◽  
pp. 60-63 ◽  
Author(s):  
E. J. Manders ◽  
D. P. Lindstrom ◽  
B. M. Dawant

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.


Dramatherapy ◽  
2021 ◽  
pp. 026306722110208
Author(s):  
Claire Anne Quigley

The Covid-19 restrictions have limited the access of face-to face therapies for many people and continues to effect how Dramatherapists operate. The following article offers reflections around adapting to an on-line medium, focusing more specifically around the software of ProReal. Limitations and considerations are acknowledged, including technological difficulties, computer efficacy, ambiguity tolerance and the need for careful contracting and reassurance of autonomy and control when using on-line platforms. The article ends with a short selection of vignettes from ProReal sessions.


2003 ◽  
Vol 47 (10) ◽  
pp. 175-181 ◽  
Author(s):  
G. Buitrón ◽  
M.-E. Schoeb ◽  
J. Moreno

The operation of a sequencing batch bioreactor is evaluated when high concentration peaks of a toxic compound (4-chlorophenol, 4CP) are introduced into the reactor. A control strategy based on the dissolved oxygen concentration, measured on line, is utilized. To detect the end of the reaction period, the automated system search for the moment when the dissolved oxygen has passed by a minimum, as a consequence of the metabolic activity of the microorganisms and right after to a maximum due to the saturation of the water (similar to the self-cycling fermentation, SCF, strategy). The dissolved oxygen signal was sent to a personal computer via data acquisition and control using MATLAB and the SIMULINK package. The system operating under the automated strategy presented a stable operation when the acclimated microorganisms (to an initial concentration of 350 mg 4CP/L), were exposed to a punctual concentration peaks of 600 mg 4CP/L. The 4CP concentrations peaks superior or equals to 1,050 mg/L only disturbed the system from a short to a medium term (one month). The 1,400 mg/L peak caused a shutdown in the metabolic activity of the microorganisms that led to the reactor failure. The biomass acclimated with the SCF strategy can partially support the variations of the toxic influent since, at the moment in which the influent become inhibitory, there is a failure of the system.


Author(s):  
Alireza Marzbanrad ◽  
Jalil Sharafi ◽  
Mohammad Eghtesad ◽  
Reza Kamali

This is report of design, construction and control of “Ariana-I”, an Underwater Remotely Operated Vehicle (ROV), built in Shiraz University Robotic Lab. This ROV is equipped with roll, pitch, heading, and depth sensors which provide sufficient feedback signals to give the system six degrees-of-freedom actuation. Although its center of gravity and center of buoyancy are positioned in such a way that Ariana-I ROV is self-stabilized, but the combinations of sensors and speed controlled drivers provide more stability of the system without the operator involvement. Video vision is provided for the system with Ethernet link to the operation unit. Control commands and sensor feedbacks are transferred on RS485 bus; video signal, water leakage alarm, and battery charging wires are provided on the same multi-core cable. While simple PI controllers would improve the pitch and roll stability of the system, various control schemes can be applied for heading to track different paths. The net weight of ROV out of water is about 130kg with frame dimensions of 130×100×65cm. Ariana-I ROV is designed such that it is possible to be equipped with different tools such as mechanical arms, thanks to microprocessor based control system provided with two directional high speed communication cables for on line vision and operation unit.


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