UNIFORMITY OF DRIP IRRIGATION SYSTEM WITH LIQUID PEAT ON DIFFERENT SLOPES

UNIFORMITY OF DRIP IRRIGATION SYSTEM WITH LIQUID PEAT ON DIFFERENT SLOPES ALLAN REMOR LOPES1; MARCIO ANTONIO VILAS BOAS1; FELIX AUGUSTO PAZUCH1; LUCIANO DALLA CORTE1; BENEDITO MARTINS GOMES1; ROSEBEL TRINDADE CUNHA PRATES2 1 Programa de Pós-Graduação em Engenharia Agrícola (PGEAGRI) – Departamento de Recursos Hídricos e Saneamento Ambiental (RHESA), Universidade Estadual do Oeste do Paraná (UNIOESTE), Rua Universitária 2069, Jardim Universitário, CEP: 85819-110, Cascavel, Paraná, Brasil, [email protected]; [email protected]; [email protected]; [email protected]; [email protected] 2Centro de Ciências da Saúde, Universidade Estadual do Oeste do Paraná (UNIOESTE), Rodovia PR 182 Km 02, Francisco Beltrão, Paraná, Brasil, [email protected] 1 ABSTRACT The use of liquid peat is an alternative to use of mineral fertigation However, it is necessary to monitor the uniformity of this organomineral fertilizer in order to obtain its adequate use, so the organomineral fertilizer can produce better quality crops. This study aimed to evaluate the uniformity of a drip fertigation system with liquid peats on different slopes. The experiment was carried out on a test bench, where the flow rate of the drippers was determined and subsequently its uniformity was calculated using the Christiansen uniformity coefficient (CUC) fot the treatments in level (0%), uphill (2%) and downhill (2%). The experimental statistics were performed by analysis of variance (ANOVA) and Tukey’s test at 5% probability to compare uniformity, in addition to the analysis of the process by Shewhart and CUSUM control charts. Liquid peat showed excellence in its uniformity (>90%) while used for drip irrigation systems. The liquid peat applied at the level slope was the most uniform, followed by upslope and downslope treatments, respectively. Through Shewhart and CUSUM control charts, it was possible to affirm that fertigation with liquid peat in level obtained a better performance. Keywords: control chart, uniformity, organomineral fertilizer, microirrigation. LOPES, A. R.; VILAS BOAS, M. A.; PAZUCH, F. A.; DALLA CORTE, L.; GOMES, B. M.; PRATES, R. T. C. UNIFORMIDADE DE SISTEMA DE IRRIGAÇÃO POR GOTEJAMENTO COM TURFA LÍQUIDA EM DIFERENTES INCLINAÇÕES 2 RESUMO O uso da turfa líquida é uma alternativa ao uso da fertirrigação mineral. No entanto, é necessário o monitoramento da uniformidade deste fertilizante organomineral para obter seu uso adequado, assim o fertilizante organomineral pode produzir culturas de melhor qualidade. O objetivo deste estudo foi avaliar a uniformidade de um sistema de fertirrigação por gotejamento com turfa líquida em diferentes inclinações. O experimento foi conduzido em uma bancada de testes, onde a vazão dos gotejadores foi determinada e consequentemente sua uniformidade pelo Coeficiente de uniformidade de Christiansen (CUC) para os tratamentos em nível (0%), aclive (2%) e declive (2%). A estatística experimental foi determinada pela análise de variância (ANOVA) e teste de Tukey a 5% de probabilidade na comparação da uniformidade, complementando os gráficos de controle de Shewhart e CUSUM. A turfa líquida apresentou excelência na sua uniformidade (> 90%) em sistemas de irrigação por gotejamento. A turfa aplicada em nível (0%) foi a mais uniforme, seguido pelos tratamentos em aclive e declive, respectivamente. Através dos gráficos de controle de Shewhart e CUSUM foi possível afirmar que a fertirrigação em nível obteve uma melhor performance. Palavras-chave: gráficos de controle, uniformidade, fertilizante organomineral, microirrigação.

Proposed α-cut CUSUM and EWMA Control Charts for Fuzzy Response Observations

This research proposesalpha ([Formula: see text]-cut Exponentially Weighted Moving Average (EWMA) and Cumulative Sum (CUSUM) control charts with fuzzy response observations in a manufacturing process under the existence of mean shift utilizing the fuzzy logic. In this research, the replicate’s observation is a fuzzy number represented by a triangular membership function, with the lower, average, and upper observation values. The fuzzy numbers are then normalized and assigned as input to the fuzzy logic, while a common output measure (COM) value is the output. Finally, the original values of the COM values are employed in developing the EWMA and CUSUM control charts with different [Formula: see text]-cut values. Three real case studies are adopted to illustrate the proposed EWMA and CUSUM control charts; including piston inside diameter, cap’s angel, and tablet weight. Results showed that the proposed EWMA and CUSUM control charts efficiently monitor fuzzy observations and detect the shift in process means. Moreover, the amount mean shift and [Formula: see text]-cut values affect the decision on process condition. In conclusion, the proposed approach is found effective in monitoring quality characteristic of fuzzy observations under mean shift which can be applied in a wide range of business applications.

Monitoring Digital Technologies in Hydraulic Systems Using CUSUM Control Charts

Digital fluid power is a growing field which utilizes electronics and advanced controls to improve efficiencies, energy savings, and productivity in fluid power systems. Often relying on on/off high-speed switching techniques, digital hydraulics relies heavily on the performance of valves, where an error in the valve performance could lead to a major drop in the efficiency and performance of the entire system. Specifically, digital pump/motors are sensitive to valve delay and transition timing which negatively impacts their performance and condition with time. One approach to assessing the performance and efficiency of digital pump/motors is via monitoring its inlet (low) and outlet (high) pressure time-series. Real-time condition monitoring also supports preventive maintenance and provides a better understanding of the dynamics of pump/motors. For condition monitoring, Statistical Process Control (SPC) charts are often designed to detect shift changes in time-series. This paper proposes to construct two cumulative sum (CUSUM) control charts for fast real-time shift detection in the high and low pressure time-series of digital pump/motors. The proposed method will be able to actively detect common misbehaviors in the valves utilized in the digital pump/motor. The model have been successfully tested on a three-piston inline digital pump/motor, but this monitoring technique can be modified and implemented on other digital technology classes where valve performance is key in the success of the system.

Control Limits for an Adaptive Self-Starting Distribution-Free CUSUM Based on Sequential Ranks

Since their introduction in 1954, cumulative sum (CUSUM) control charts have seen a widespread use beyond the conventional realm of statistical process control (SPC). While off-the-shelf implementations aimed at practitioners are available, their successful use is often hampered by inherent limitations which make them not easily reconcilable with real-world scenarios. Challenges commonly arise regarding a lack of robustness due to underlying parametric assumptions or requiring the availability of large representative training datasets. We evaluate an adaptive distribution-free CUSUM based on sequential ranks which is self-starting and provide detailed pseudo-code of a simple, yet effective calibration algorithm. The main contribution of this paper is in providing a set of ready-to-use tables of control limits suitable to a wide variety of applications where a departure from the underlying sampling distribution to a stochastically larger distribution is of interest. Performance of the proposed tabularized control limits is assessed and compared to competing approaches through extensive simulation experiments. The proposed control limits are shown to yield significantly increased agility (reduced detection delay) while maintaining good overall robustness.