A Smart Rig for Calibration of Gas Sensor Nodes: Test and Deployment

Abdaoui, Abderrazak; Touati, Farid; Tariq, Hasan; Mnouar, Adel Ben

doi:10.1109/dts48731.2020.9196182

Cited by 5 publications

(8 citation statements)

References 7 publications

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“…Acute respiratory infections, TB, asthma, chronic obstructive pulmonary disease, pneumoconiosis, head and neck malignancies, and lung cancer have all been linked to indoor pollution exposure [131]. The direct relationship presented in the relevant works has been comprehended in the Table 5 given below.…”

Section: Indoor Epidemiology and Diseasesmentioning

confidence: 99%

A Review of State-of-the-Art Low-Cost Sensors for Detection of Indoor Air Pollutants that Correlate with Health

Tariq,

Touati,

Crescini

et al. 2023

Preprint

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Indoor air quality and public health have always been an area of prime interest across the globe. The significance of low-cost air quality sensing and indoor public health practices spikes during the time of pandemic and epidemics when indoor air pollution becomes a threat to living beings especially human beings. Indoor diseases are hard to diagnose if they are due to the indoor environmental conditions. A major challenge was observed in establishing a baseline between the indoor air quality sensors and associated diseases. In this work, 10,000+ articles from top literature databases were reviewed using bibliometric analysis to formulate indoor air quality sensors and diseases correlation rubrics to critically review 500+ articles. A set of 200+ articles were selected based on for detailed study based on seven bibliometric indices for publications that used WHO, NIH, US EPA, CDC, and FDA defined principles. This review has been conducted to assist end-users, public health facilities, state agencies, researchers, scientists and air quality protection agencies.

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Section: Indoor Epidemiology and Diseasesmentioning

confidence: 99%

A Review of State-of-the-Art Low-Cost Sensors for Detection of Indoor Air Pollutants that Correlate with Health

Tariq,

Touati,

Crescini

et al. 2023

Preprint

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“…g) Power/Energy scientists have a gap of awareness in instrumentation and control technology used in smart systems that effects the multi-variable systems integration in inverters due to the absence of Digital Twin in existing power converter-controllers as well as their environmental impact and air quality issues [17,18] and associated human health [19]. h) The programming, calibration, and remote access costs of the existing power converters systems are huge and complex methods like bipolar plates adaptation [20] challenge. i) The existing power converter controllers have gaps in real-time analytics on-chip which is another setback costing the local consumers and problematic for subject matter experts (SME) that requires extra measuring instruments and secure interoperability [21][22][23] during control.…”

Section: Problem Formulationmentioning

confidence: 99%

Multi-Channel Networked MIMO-MPC-based SiL/HiL/MiL for CC/CV Sections’ Optimization in 6th Gen Hybrid/Islanded Inverters for Mobile Green Nano-Grids in FEW Nexus

Tariq

Sultan

2022

International Journal on Applied Physics and Engineering

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The Food, Energy, and Water (FEW) Nexus is an ever-existing paradigm since the big bang. Resilient and mobile green energy nano-grid fabric is the horizon at the pinnacle of 6th generation inverters where FEW and major UNDP SDGs seem to meet. Three major challenges exist in the existing inverters: a) are based on uni-variable PID controllers and do not provide abstract grid parameters that make the decision-making for the consumers and OEMs, especially in islanded nano-grids; b) there is not a single MIMO-MPC-based solution that can employ a mesh network of spatially deployed Nanogrids nodes to derive the abstract key performance indicators (KPIs) in nano-grids, and c) the hardcoded smart inverters’ firmware is impossible to optimize like SoC-based SiL/MiL/MiL looped embedded systems that hamper the adaptation of SISO-MPC and MIMO-MPCs. In this work design, development, and optimization of multi-channel CC/CV section modules based on MIMO-MPC using Hardware in Loop (HiL), Software in Loop (SiL), and Model in Loop (MiL) integrated 6th generation inverters architecture was proposed to achieve the autonomous green mobility nano-girds. The system achieved an efficiency of 7.8kWh/day at 20.8ᵒ tilt with charging states of [23% to 65%].

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“…Ozone (O3), Sulphur Dioxide (SO2), Carbon Monoxide (CO), and Nitrogen Dioxide (NO2) are the standard gases discussed in major environmental standards for AQI [4,14,15]. A standard outdoor air quality node (O-AQN) was needed to measure discrete and cumulative AQI with minimum data processing and power consumption.…”

Section: Astesj Issn: 2415-6698mentioning

confidence: 99%

“…The block diagram of a generic AQM node is given below in figure 1. In our previous works [14,15,19,20], we had filled the design gaps in indoor air quality monitoring and developed a multi-sensor AQM node called Sensors V1 revision 1 and revision 2 presented in figure 1. In this work, work proposed a novel O-AQM node by improving the system architecture of SeReNo V1 as SeReNo V2.…”

Section: The Sereno V2 Aqm Sensing Platformmentioning

confidence: 99%

See 1 more Smart Citation

Real-time Gradient-Aware Indigenous AQI Estimation IoT Platform

Tariq¹,

Abdaoui²,

Touati³

et al. 2020

Adv. sci. technol. eng. syst. j.

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Environmental monitoring has gained significant importance in outdoor air quality measurement and assessment for fundamental survival as well as ambient assisted living. In real-time outdoor urban scale, instantaneous air quality index estimation, the electrochemical sensors warm-up time, cross-sensitivity computation-error, geo-location typography, instantaneous capacity or back up time; and energy efficiency are the six major challenges. These challenges lead to real-time gradient anomalies that effect the accuracy and pro-longed lags in air quality index mapping campaigns for state and environmental/meteorological agencies. In this work, a gradient-aware, multi-variable air quality sensing node is proposed with event-triggered sensing based on position, gas magnitudes, and cross-sensitivity interpolation. In this approach, temperature, humidity, pressure, geo-position, photovoltaic power, volatile organic compounds, particulate matter (2.5), ozone, Carbon mono-oxide, Nitrogen dioxide, and Sulphur dioxide are the principle variables. Results have shown that the proposed system optimized the real-time air quality monitoring for the chosen geo-spatial cluster (Qatar University).

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A Smart Rig for Calibration of Gas Sensor Nodes: Test and Deployment

Cited by 5 publications

References 7 publications

A Review of State-of-the-Art Low-Cost Sensors for Detection of Indoor Air Pollutants that Correlate with Health

A Review of State-of-the-Art Low-Cost Sensors for Detection of Indoor Air Pollutants that Correlate with Health

Multi-Channel Networked MIMO-MPC-based SiL/HiL/MiL for CC/CV Sections’ Optimization in 6th Gen Hybrid/Islanded Inverters for Mobile Green Nano-Grids in FEW Nexus

Real-time Gradient-Aware Indigenous AQI Estimation IoT Platform

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