Prototype Sorting Items for Disinfection Sterilization Using Smart Relay

Somantri, Nivika Tiffany; Zani, Mughofa; Ridwan, Azwar Mudzakkir; Winanti, Naftalin; Nurjaman, Dede Furqon

doi:10.1109/tssa56819.2022.10063895

2022 16th International Conference on Telecommunication Systems, Services, and Applications (TSSA) 2022

DOI: 10.1109/tssa56819.2022.10063895

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Prototype Sorting Items for Disinfection Sterilization Using Smart Relay

Nivika Tiffany Somantri

Mughofa Zani

Azwar Mudzakkir Ridwan

et al.

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2024

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Using estimation to optimize electric pump flow rates for spraying applications

Appuhamy,

McCafferty-Leroux,

Sicard

et al. 2024

Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII

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Electric pumps are widely used in applications such as sanitation, manufacturing and agriculture. Electric current is supplied to the pumps, which translates into a corresponding flow rate and therefore output pressure. This relationship between a pump's pressure and flow rate is described as its performance curve. This conference paper uses estimation theory and cognitive system techniques to improve the efficiency of electric pumps. Specifically, using the perception-action cycle to observe the states, predict the system behaviour and then optimize it. The system states are estimated using sensor measurements and system dynamics, where the control system uses the states to find the optimal flow rate based on the performance curve and adjust the system accordingly. This methodology is validated using simulations. The simulation models a sprayer that is powered by a DC motor where the ideal spray angle is maintained based on the distance to the surface. Optimizing the electric pump performance, reduces energy consumption and optimizes fluid usage, which can provide savings in many industries and systems.

show abstract

Using estimation to optimize electric pump flow rates for spraying applications

Appuhamy,

McCafferty-Leroux,

Sicard

et al. 2024

Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Prototype Sorting Items for Disinfection Sterilization Using Smart Relay

Cited by 1 publication

References 1 publication

Using estimation to optimize electric pump flow rates for spraying applications

Using estimation to optimize electric pump flow rates for spraying applications

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