Monitoring of the Aircraft Cabin Environment via a Wireless Sensor Network

Pook, Michael; Loo, Sin Ming; Kiepert, Joshua

doi:10.2514/6.2012-3462

Cited by 8 publications

(4 citation statements)

References 7 publications

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“…Furthermore, it may lead to potential problems for safety, which increases according to the scale of the aircraft. Therefore, a wireless communication scheme needs to substitute for the existing wire communication scheme [2][3][4][5]. For example, a large-sized aircraft has more than 40,000 sensor nodes and a medium-sized aircraft has more than 6000 sensor nodes, which means that the number of wires connected for communication increases according to the scale.…”

Section: Introductionmentioning

confidence: 99%

Energy Consumption Analysis of Beamforming and Cooperative Schemes for Aircraft Wireless Sensor Networks

Kim

2020

Applied Sciences

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In this paper, the eight schemes for aircraft wireless sensor networks are investigated, which are single-hop array beamforming schemes (including analog beamforming (ABF), and digital beamforming (DBF)), non-cooperative schemes (including single-hop and multi-hop schemes), cooperative schemes (including amplify and forward (AF), decode and forward (DF)), and incremental cooperative schemes (incremental decode and forward (IDF), and incremental amplify and forward (IAF)). To set up the aircraft wireless communication environment, we design the aircraft channel model by referring to the experimental parameters of the ITU (International Telecommunication Union)-R M.2283, which is composed of path loss, shadowing fading, and multi-path fading channel responses. To evaluate the performance, the conditions energy consumption and throughput analysis are performed. Through simulation results, the incremental cooperative scheme outperformed by 66.8% better at spectral efficiency 2 than the DBF scheme in terms of the energy consumption metric. Whereas, in terms of throughput metric, overall SNR (signal-to-noise ratio) ranged from −20 to 30 dB the beamforming scheme had the best performance in which the beamforming scheme at SNR 0 dB achieved 85.4% better than the multi-hop scheme. Finally, in terms of normalized throughput metric in low SNR range between −20 and 1 dB the ABF scheme had the best performance over the others in which the ABF at SNR 0 dB achieved 75.4% better than the multi-hop scheme. Whereas, in high SNR range between 2 and 30 dB the IDF scheme had the best performance in which the IDF at SNR 10 dB achieved 62.2% better than the multi-hop scheme.

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Section: Introductionmentioning

confidence: 99%

Energy Consumption Analysis of Beamforming and Cooperative Schemes for Aircraft Wireless Sensor Networks

Kim

2020

Applied Sciences

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“…Although the conventional wireless sensor can achieve the health monitoring of the aircraft corresponding parts, the it will face a more complex environment in the flight process. A single monitoring parameter is difficult to reflect the actual health status of the aircraft, so it is particularly important to realize the multi parameter monitoring of the aircraft in service [9][10][11][12]. Nyulászi et al…”

Section: Introductionmentioning

confidence: 99%

A wireless multi-parameter monitoring device for aircraft

Wang

2023

Materials Research Proceedings

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Abstract. For ensuring the structure integrity and safety of aircraft during flight, aircraft health monitoring requires real-time perception of aircraft structural state and service environment parameters, such as impact, damage, vibration, temperature, humidity and air pressure. At the same time, airborne monitoring environment also puts forward requirements for device including aspect of wireless communication and power consumption. In this paper, a wireless multi-parameter monitoring device is reported. This device has the function of monitoring random impact on aircraft structure through connected PZT sensor array adopting digital sequence method, and is able to reliably monitor vibration, temperature, humidity and air pressure by several digital sensors. In addition, the multi-parameter monitoring function verification experiment is performed, showing that the reported device obtains the signal from PZT and accurately locates the impact region, and some results of vibration, temperature, humidity and air pressure monitoring are given, thus proving its multi-parameter monitoring ability for aircraft structure.

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“…The focus of this testing was to verify the capabilities of the BSU system in capturing spatiotemporal measurements of multiple contaminants injected into a highly dynamic enclosed environment. Previous testing of a similar system had focused on capturing the movement of carbon dioxide in the same environment 7 . This set of tests demonstrates the addition of particulate matter sensing to the sensor suite, providing contrast between the movement of gaseous and particulate matter contaminants.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Aircraft Cabin Particulate Matter Using a Wireless Sensor Network

Hall

Kiepert

Pook

et al. 2013

43rd International Conference on Environmental Systems

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The semi-enclosed and pressurized nature of the aircraft cabin results in a highly dynamic environment. The dynamic conditions establish spatiotemporal dependent environmental characteristics. Characterization of aircraft cabin environmental and bleedair conditions have traditionally been done with stand-alone measurement systems which, by their very nature, cannot provide the necessary sensor coverage in such an environment. To this purpose, a prototype wireless sensor network system has been developed that can be deployed in the aircraft cabin environment. Each sensor node in the system incorporates the ability to measure common aircraft contaminants such as particulate matter and carbon dioxide, along with other key environmental factors such as temperature, air pressure, humidity, and sound pressure level. The wireless sensor network enables the collection of time-correlated results from the aircraft cabin, passing sensor data to a central collection point for storage or real-time monitoring. This paper discusses the results of testing this sensor system in a mockup of the Boeing 767 aircraft cabin environment. In this series of tests, both particulate matter and carbon dioxide were introduced into the simulated aircraft environment and measured using an array of 16 wirelessly connected sensor nodes. Two different arrangements of sensor nodes targeted both a two-dimensional plane across the aircraft cabin space and a localized three-dimensional space centered on two rows of the cabin. The test results show successful simultaneous tracking of the particulate matter and carbon dioxide concentrations as they disperse over time.

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Monitoring of the Aircraft Cabin Environment via a Wireless Sensor Network

Cited by 8 publications

References 7 publications

Energy Consumption Analysis of Beamforming and Cooperative Schemes for Aircraft Wireless Sensor Networks

Energy Consumption Analysis of Beamforming and Cooperative Schemes for Aircraft Wireless Sensor Networks

A wireless multi-parameter monitoring device for aircraft

Monitoring Aircraft Cabin Particulate Matter Using a Wireless Sensor Network

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