Toward an IoT based Software Defined Plumbing Network System with fault tolerance

in this paper we will see the application of computer science algorithms to the plumbing system. We propose a fault tolerant tap water system which is impossible without Internet of things and algorithms . We will show that the problem is a mutual exclusion group problem and we propose an adapted algorithm version from the literature as a solution . Coupling algorithms with the configurable plumbing network we believe that this will open new field of research on IoT we called it software defined plumbing Network where components that have been traditionally implemented in hardware (e.g. water mixers, spring faucets ,flow sensors, etc.) are instead implemented by means of software . This way we can solve other problem like instantaneous hot water,automatic cleaning of the water heater..etc since due to computer algorithms the systems can be easily smart, extensible and adaptive.

Modification Hydrodynamic Properties of Narrowing Down Devices of Flow Sensors from Action of an Abrasive Wear

In operation the outcomes of study influencing an abrasive wear of working surfaces of a cylindrical nozzle on operation of a flow sensor of variable pressure differential are introduced. The outcomes are obtained by a numerical modelling of current of fluid through a nozzle. For a nozzle the internal cylindrical surface is resized up to a taper and circularization on radius a crimp on an input. Simulation executed by a finite element method with usage of the program Ansys 5.5ED. Budgeting of numerical experiment and treating of outcomes have fulfilled with applying of the program Stastistica 6.1.The quantitative estimation of influencing an abrasive wear on variation coefficient of the outflow of flow sensors is obtained.

The Portable Fuel Transfer Pump Control System of Android Based for The Fuel Filling Effectiveness of Penerbad’s Helicopter

– The task of Army Aviation Operations is carried out in remote areas where airport services are still minimal, the process related to refueling for pilot helicopters is an obstacle in carrying out the pilot's main tasks. So, we need tools to make the process more effective. This research uses a method that will obtain quantitative data for research to prove the hypothesis. The method is known as the Development Life Cycle Waterfall Diagram and experimental research. Currently still using a hand pump, therefore it is necessary to have a tool that is portable and uses an electric pump. specifically for fuel which is controlled by Arduino and the android application as input for a filling command and can store charging data. In this case the tool system uses supporting components, namely batteries, Bluetooth hc 05, 5v relays and flow sensors. With the research on portable pump tools, the process can be more efficient than hand pumps. When refueling the helicopter, it is enough to enter the charging value from the android application, the charging is already running, and the charging data is stored in the android file.

Characterization of the Transpiration of a Vineyard under Different Irrigation Strategies Using Sap Flow Sensors

Lysimeters are the reference method for determining ETc, but they are expensive and complex, which limits their use. The first objective of this work was to adjust and evaluate the robustness of sap flow sensors in order to determine the transpiration of a vineyard and, together with an evaporation model, to calculate the ETc of the vineyard. For this purpose, we compared water consumption data obtained from a vineyard weighing lysimeter (ETcLys) with the sum of transpiration obtained from sap flow sensors (TSF) and evaporation estimated empirically over four years (2012, 2013, 2014 and 2015). The second objective was to obtain the relationship between the vegetative growth and transpiration of the vines with different water availability (irrigation and rainfed treatments), as an alternative method for estimating vine water needs adjusted to their real development. The third and last objective was to evaluate the transpiration response of the vines when subjected to water stress. We carried out the work in an experimental vineyard which has a well-established weighing lysimeter. As a result, a good match was obtained between vine sap flow and transpiration (R2 = 0.85) as well as a good relationship between vegetative growth and vine transpiration (FiPAR: R2Irrigation = 0.34. R2Rainfed = 0.54; LAI: R2Irrigation = 0.68. R2Rainfed = 0.53).

Linearisation of flow sensors using evolutionary optimised function-based methods

Purpose This study aims to propose optimised function-based evolutionary algorithms in this research to effectively replace the traditional electronic circuitry used in linearising constant temperature anemometer (CTA) and Microbridge mass flow sensor AWM 5000. Design/methodology/approach The proposed linearisation technique effectively uses the ratiometric function for the linearisation of CTA and Microbridge mass flow sensor AWM 5000. In addition, the well-known transfer relation, namely, the King’s Law is used for the linearisation of CTA and successfully implemented using LabVIEW 7.1. Findings Investigational results unveil that the proposed evolutionary optimised linearisation technique performs better in linearisation of both CTA and Mass flow sensors, and hence finds applications for computer-based flow measurement/control systems. Originality/value The evolutionary optimisation algorithms such as the real-coded genetic algorithm, particle swarm optimisation algorithm, differential evolution algorithm and covariance matrix adopted evolutionary strategy algorithm are used to determine the optimal values of the parameters present in the proposed ratiometric function. The performance measures, namely, the full-scale error and mean square error are used to analyse the overall performance of the proposed approach is compared to a state of art techniques available in the literature.