63 resultados para Operadores argumentativos


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The increasing prevalence of Repetitive Strain Injury / Work-Related Musculoskeletal Disorders (RSI / MSDs) has been explained by changes in the work that has been characterized by setting goals and productivity. This fact does not take into account the psycho-physiological characteristics of workers who become ill as a result of professional activities engaged in and also the adverse conditions in which his work was done. This study aimed to analyze the RSI / MSDs reported in the state of Rio Grande do Norte, Brazil, 2010-2014 compared to the profile of the population, epidemiological aspects and features of these diseases. It is a descriptive epidemiological cross-sectional study using secondary data obtained in the Notifiable Diseases Information System (SINAN) in May 2015 was used as the area covered by the Rio Grande do Norte. Data were collected regarding the grievances of work-related RSI / MSDs, assigned by the Worker's Health Reference Center (CEREST) of the State Health Department. Data were processed with the help of Microsoft Excel® 2013 and presented in tables in absolute frequency (n) and relative frequency (%). The results showed a total of 403 notifications of RSI / MSDs, where the vast majority 72% (290) was recorded in Natal. Regarding the profile of notified employees, 88.59% (357) have aged between 25 and 54 years, 62.78% (253) were female, and in relation to education, 31.51% (127) had high school complete. The most affected occupations were seamstresses (the clothing industry) with 24.97% (97), followed by masons, construction with 3.23% (13) and cashiers with 2.99% (12). About the work situation, 75.93% (306) had a formal contract, however, were sent to Communications Occupational accidents (CAT) only 67% (270) of the cases. Regarding the signs and symptoms, pain and limitation of movement were the most mentioned respectively with 98.01% (395) and 95.04% (383) of notifications. Notifications, 94.29% (380) showed exposure to repetitive movements in their workplace. The most frequent specific diagnoses were synovitis and tenosynovitis (CID F 65), with 30.02% (121) of notifications, followed by back pain (CID F 54) to 19.35% (78) and shoulder injuries (ICD M 75) with 15.88% (64). They were away from work 81.64% (329) of workers reported with RSI / MSDs. Evolution more prevalent among cases was temporary disability with 75.68% (305). It was concluded that the SINAN is a database of potential to characterize the profile of RSI / MSDs, requiring, however, an improvement in the coverage of records and data quality. In addition, this study reflects the need to implement protection strategies to workers by companies, signaling promotion, prevention and rehabilitation aimed at reducing these injuries and the improvement of occupational health indicators in Rio Grande do Norte.

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The petrochemical industry has as objective obtain, from crude oil, some products with a higher commercial value and a bigger industrial utility for energy purposes. These industrial processes are complex, commonly operating with large production volume and in restricted operation conditions. The operation control in optimized and stable conditions is important to keep obtained products quality and the industrial plant safety. Currently, industrial network has been attained evidence when there is a need to make the process control in a distributed way. The Foundation Fieldbus protocol for industrial network, for its interoperability feature and its user interface organized in simple configuration blocks, has great notoriety among industrial automation network group. This present work puts together some benefits brought by industrial network technology to petrochemical industrial processes inherent complexity. For this, a dynamic reconfiguration system for intelligent strategies (artificial neural networks, for example) based on the protocol user application layer is proposed which might allow different applications use in a particular process, without operators intervention and with necessary guarantees for the proper plant functioning

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The Electrical Submersible Pumping is an artificial lift method for oil wells employed in onshore and offshore areas. The economic revenue of the petroleum production in a well depends on the oil flow and the availability of lifting equipment. The fewer the failures, the lower the revenue shortfall and costs to repair it. The frequency with which failures occur depends on the operating conditions to which the pumps are submitted. In high-productivity offshore wells monitoring is done by operators with engineering support 24h/day, which is not economically viable for the land areas. In this context, the automation of onshore wells has clear economic advantages. This work proposes a system capable of automatically control the operation of electrical submersible pumps, installed in oil wells, by an adjustment at the electric motor rotation based on signals provided by sensors installed on the surface and subsurface, keeping the pump operating within the recommended range, closest to the well s potential. Techniques are developed to estimate unmeasured variables, enabling the automation of wells that do not have all the required sensors. The automatic adjustment, according to an algorithm that runs on a programmable logic controller maintains the flow and submergence within acceptable parameters avoiding undesirable operating conditions, as the gas interference and high engine temperature, without need to resort to stopping the engine, which would reduce the its useful life. The control strategy described, based on modeling of physical phenomena and operational experience reported in literature, is materialized in terms of a fuzzy controller based on rules, and all generated information can be accompanied by a supervisory system