scholarly journals Implementation of Water Debit Measurement Using Microcontroller-Connected Flow Meters

TEM Journal ◽  
2020 ◽  
pp. 1467-1474
Author(s):  
Juhriyansyah Dalle ◽  
Muhammad Tamjidi ◽  
Syarif Yusirwan Syafruddin
Keyword(s):  
Data Collection ◽  
Water Flow ◽  
Flow Measurement ◽  
Successful Implementation ◽  
Time Data ◽  
Flow Meters ◽  
Software Analysis ◽  
Irrigation Flow ◽  
Real Time Data ◽  
Analysis Design

This research was conducted to measure water flow by implementing the Flow Meter tool. This was connected to a microcontroller and monitored through the website. In addition, the research was performed in stages, including (1) problem identification; (2) data collection; (3) hardware and software analysis, design, as well as website interfaces; (4) implementation and testing; and (5) concluding the development of hardware and software created. The results indicate the successful implementation of a water flow measurement prototype. This produced real-time data, updated every minute and displayed the required information on a website for direct monitoring. The study outcome is expected to be directly applied in dam or actual irrigation flow, and monitored on both website media and Android. Therefore, further research is required.

The Study of Motor Winding Testing System for Inter-Turn with 30kV

2013 ◽  
Vol 278-280 ◽  
pp. 831-834 ◽  
Author(s):  
Xiao Sun ◽  
Hao Zhou ◽  
Xiang Jiang Lu ◽  
Yong Yang
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Field Test ◽  
Performance Indicators ◽  
Testing System ◽  
Time Data ◽  
Process Data ◽  
Real Time Data ◽  
Long Time ◽  
Factory Testing

This paper designed a motor winding testing system, it can do the dielectric withstand voltage test of inter-turn under 30kV.The system can communicate effectively between PC and machine, by using the PC's powerful capacity of process data and PLC's better stability and the Labview's convenient UI. So the system has real-time data collection, preservation, analysis and other characteristics. This system is able to achieve factory testing and type testing of the motor windings facilitating. Various performance indicators were stable and reliable by field test during a long time.

It’s in the Cards: A Practice-Friendly, Real-Time Data Collection Strategy for Quality Improvement

2005 ◽  
Vol 31 (1) ◽  
pp. 54-58 ◽  
Author(s):  
James L. Wofford ◽  
James R. Kimberly ◽  
William P. Moran ◽  
David P. Miller ◽  
Jerry L. Hopping ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Data Collection ◽  
Real Time ◽  
Time Data ◽  
Data Collection Strategy ◽  
Real Time Data

scholarly journals Nature-Inspired Drone Swarming for Real-Time Aerial Data-Collection Under Dynamic Operational Constraints

Drones ◽  
2019 ◽  
Vol 3 (3) ◽  
pp. 71 ◽  
Author(s):  
Hanno Hildmann ◽  
Ernö Kovacs ◽  
Fabrice Saffre ◽  
A. F. Isakovic
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Precision Agriculture ◽  
Computational Cost ◽  
Civil Defense ◽  
Time Data ◽  
Communication Infrastructure ◽  
Distributed Approach ◽  
Nature Inspired Algorithm ◽  
Real Time Data

Unmanned Aerial Vehicles (UAVs) with acceptable performance are becoming commercially available at an affordable cost. Due to this, the use of drones for real-time data collection is becoming common practice by individual practitioners in the areas of e.g., precision agriculture and civil defense such as fire fighting. At the same time, as UAVs become a house-hold item, a plethora of issues—which can no longer be ignored and considered niche problems—are coming of age. These range from legal and ethical questions to technical matters such as how to implement and operate a communication infrastructure to maintain control over deployed devices. With these issues being addressed, approaches that focus on enabling collectives of devices to operate semi-autonomously are also increasing in relevance. In this article we present a nature-inspired algorithm that enables a UAV-swarm to operate as a collective which provides real-time data such as video footage. The collective is able to autonomously adapt to changing resolution requirements for specific locations within the area under surveillance. Our distributed approach significantly reduces the requirements on the communication infrastructure and mitigates the computational cost otherwise incurred. In addition, if the UAVs themselves were to be equipped with even rudimentary data-analysis capabilities, the swarm could react in real-time to the data it generates and self-regulate which locations within its operational area it focuses on. The approach was tested in a swarm of 25 UAVs; we present out preliminary performance evaluation.

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