IoT based Data Acquisition System for Real-Time Pressure Measurement of Sea Water

Colaco, John; Lohani, Rajesh B.

doi:10.1109/worlds450073.2020.9210314

Cited by 4 publications

(3 citation statements)

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“…Based on Table 1, real-time monitoring via remotely has been applied in a variety of fields such as healthcare [11], environment [12], automotive industries [13] and manufacturing [6,14]. Microcontrollers are utilized as the primary component of embedded systems for real-time monitoring.…”

Section: An Overview Of Labview and Iot Based Applicationsmentioning

confidence: 99%

“…Microcontrollers are utilized as the primary component of embedded systems for real-time monitoring. Several different types of microcontrollers, including Arduino [12,14] and Raspberry Pi [6], have been found to be used in earlier studies. Moreover, sensors are necessary for real-time monitoring in which it detects and measures the input and converts it into electrical, then processes into data.…”

Section: An Overview Of Labview and Iot Based Applicationsmentioning

confidence: 99%

“…Moreover, sensors are necessary for real-time monitoring in which it detects and measures the input and converts it into electrical, then processes into data. Different types of sensors are employed, and their selection is influenced by the intended purpose and the input measurements such as blood pressure and pressure sensors are use in health monitoring system [11] and seawater pressure monitoring system respectively [12].…”

Section: An Overview Of Labview and Iot Based Applicationsmentioning

confidence: 99%

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A Centralized IOT-Based Process Cycle Time Monitoring System for Line Balancing Study

Saranjuu Chulakit,

Amirul Syafiq Sadun,

Nor Anija Jalaludin

et al. 2023

ARAM

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This study proposes a Centralized IoT-based Process Cycle Time Monitoring System (CTMS) to improve the efficiency and accuracy of line balancing studies in a production line with a conveyor system. The traditional approach of measuring cycle time, typically done by manual observation and recording, can be prone to errors due to human factors such as fatigue or inaccuracies in manual recording. The proposed CTMS utilizes a combination of cutting-edge technologies such as a cloud database, android application, LABVIEW GUI, analogue infrared (IR) sensors, and appropriate controllers to improve the reliability of cycle time measurements. The system continuously monitors the production line and provides real-time data on cycle time, downtime, and other relevant metrics, allowing production engineers to quickly identify bottlenecks and areas for improvement. The results of the study demonstrate the potential of the CTMS to be applied and expanded to actual production lines with conveyor systems, providing a valuable tool for production engineers to develop strategies to reduce cycle time and ensure it is kept in check. The proposed CTMS is expected to have a positive impact on the efficiency and profitability of the production line by reducing downtime and increasing productivity.

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