Advanced IoT Pressure Monitoring System for Real-Time Landfill Gas Management

Fay, Cormac D.; Healy, John P.; Diamond, Dermot

doi:10.3390/s23177574

Cited by 4 publications

(3 citation statements)

References 63 publications

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“…Our studies in the area of gas sensing have resulted in several in-house designed, developed, and deployed gas sensing systems capable of autonomously performing measurements and reporting data wirelessly to online repositories [ 65 , 66 , 67 , 68 ]. For this study, we considered a platform equipped with an infrared (IR)-based carbon dioxide (CO

) gas sensor (Dynament, Process Sensing Technologies, Cambridgeshire, UK, (accessed on 21 November 2023)), which had a dynamic sensing range of 0–20%

.…”

Section: Methodsmentioning

confidence: 99%

Green IoT Event Detection for Carbon-Emission Monitoring in Sensor Networks

Fay,

Corcoran,

Diamond

2023

Sensors

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This research addresses the intersection of low-power microcontroller technology and binary classification of events in the context of carbon-emission reduction. The study introduces an innovative approach leveraging microcontrollers for real-time event detection in a homogeneous hardware/firmware manner and faced with limited resources. This showcases their efficiency in processing sensor data and reducing power consumption without the need for extensive training sets. Two case studies focusing on landfill CO2 emissions and home energy usage demonstrate the feasibility and effectiveness of this approach. The findings highlight significant power savings achieved by minimizing data transmission during non-event periods (94.8–99.8%), in addition to presenting a sustainable alternative to traditional resource-intensive AI/ML platforms that comparatively draw and produce 20,000 times the amount of power and carbon emissions, respectively.

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) gas sensor (Dynament, Process Sensing Technologies, Cambridgeshire, UK, (accessed on 21 November 2023)), which had a dynamic sensing range of 0–20%

.…”

Section: Methodsmentioning

confidence: 99%

Green IoT Event Detection for Carbon-Emission Monitoring in Sensor Networks

Fay,

Corcoran,

Diamond

2023

Sensors

Self Cite

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“…It is noteworthy that the potential for hydrogen ignition is comparably lower than that of gasoline vapors, with a range between 18.3% and 59%, as opposed to the 1% concentration of gasoline. Advanced IoT pressure-monitoring system for real-time examples can be found in [33].…”

Section: Hardware: Sensoring Selectionmentioning

confidence: 99%

Scalable and Multi-Channel Real-Time Low Cost Monitoring System for PEM Electrolyzers Based on IoT Applications

Paredes-Baños,

Molina-Garcia,

Mateo-Aroca

et al. 2024

Electronics

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This paper discusses and evaluates a novel multi-channel real-time architecture aimed at monitoring a Proton Exchange Membrane (PEM) electrolyzer, both at the individual cell and stack levels. The proposed solution includes two primary subsystems: a hardware subsystem dedicated to data acquisition (DAQ) and a software subsystem focused on monitoring purposes. The DAQ subsystem utilizes an Arduino platform, being an affordable and open-source solution. The real-time monitoring data can be encoded in JSON format, widely used as a light-weight inter-exchange data format between a variety of IoT applications. They are also available to be transferred to Excel. Indeed, and to enhance convenience, the proposed system integrates graphs displaying a template based on Excel spreadsheets, which are commonly used in industrial environments. The current, voltage, temperature, and pressure data of both individual cells and stacks were monitored and collected, being configurable under a variety of ranges. As a case study, the validation of the system involved static and dynamic operational modes using a 1.2 kW PEM electrolyzer prototype (100 A, 1 A/cm2). The results successfully provided the monitored variables across individual cells and within the stack. The proposed approach exhibits relevant key characteristics such as scalability, flexibility, user-friendliness, versatility, and affordability and are suitable to monitor PEM electrolyzers in real-time at both the cell and stack levels.

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“…Waworundeng et al [10] proposed a tire pressure detection system for motorized vehicles. Fay et al [11] developed a landfill gas pressure monitoring and management system. Hassan et al [12] devised an environmental monitoring system.…”

Section: Introductionmentioning

confidence: 99%

A Distributed Real-Time Monitoring Scheme for Air Pressure Stream Data Based on Kafka

Zhou,

Chen

2024

Applied Sciences

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Strict air pressure control is paramount in industries such as petroleum, chemicals, transportation, and mining to ensure production safety and to improve operational efficiency. In these fields, accurate real-time air pressure monitoring is critical to optimize operations and ensure facility and personnel safety. Although current Internet of Things air pressure monitoring systems enable users to make decisions based on objective data, existing approaches are limited by long response times, low efficiency, and inadequate preprocessing. Additionally, the exponential increase in data volumes creates the risk of server downtime. To address these challenges, this paper proposes a novel real-time air pressure monitoring scheme that uses Arduino microcontrollers in conjunction with GPRS network communication. It also uses Apache Kafka to construct a multi-server cluster for high-performance message processing. Furthermore, data are backed up by configuring multiple replications, which safeguards against data loss during server failures. The scheme also includes an intuitive and user-friendly visualization interface for data analysis and subsequent decision making. The experimental results demonstrate that this approach offers high throughput and timely responsiveness, providing a more reliable option for real-time gathering, analysis, and storage of massive data.

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Advanced IoT Pressure Monitoring System for Real-Time Landfill Gas Management

Cited by 4 publications

References 63 publications

Green IoT Event Detection for Carbon-Emission Monitoring in Sensor Networks

Green IoT Event Detection for Carbon-Emission Monitoring in Sensor Networks

Scalable and Multi-Channel Real-Time Low Cost Monitoring System for PEM Electrolyzers Based on IoT Applications

A Distributed Real-Time Monitoring Scheme for Air Pressure Stream Data Based on Kafka

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