Low-cost NDIR based sensor platform for sub-ppm gas detection

̊rd, Christine Hummelga; Bryntse, I.; Bryzgalov, Maksym; Henning, Jan-A ̊ke; Martin, H.; Noren, M.; ̊rd, Henrik Rödjega

doi:10.1016/j.uclim.2014.09.001

Cited by 39 publications

(24 citation statements)

References 10 publications

(13 reference statements)

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“…COCAP measures carbon dioxide using a sensor from SenseAir AB based on their HPP (High Performance Platform) family of gas sensors (Hummelgård et al, 2015). It is a nondispersive infrared sensor operating at a wavelength of 4.26 µm.…”

Section: Carbon Dioxide Sensormentioning

confidence: 99%

“…where s is the infrared signal, T G and p G are temperature and pressure of the gas mixture, respectively, and the ellipsis 20 indicates that other quantities may be included in the calculation. The function f will henceforth be called the "calibration curve" of the carbon dioxide sensor.…”

Section: Cost Estimationmentioning

confidence: 99%

“…the flow controller behaves like a needle valve. In future designs we recommend to better tune the flow controller for performance at low pressure differences 20 or to reduce mass by replacing it with a needle valve.…”

mentioning

confidence: 99%

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COCAP: A carbon dioxide analyser for small unmanned aircraft systems

Kunz¹,

Lavrič²,

Gerbig³

et al. 2017

Preprint

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Abstract. Unmanned aircraft systems (UAS) could provide a cost-effective way to close gaps in the observation of the carbon cycle, provided that small yet accurate analysers are available. We have developed a COmpact Carbon dioxide analyser for Airborne Platforms (COCAP). The accuracy of COCAP's carbon dioxide (CO 2 ) measurements is ensured by calibration in an environmental chamber, regular calibration in the field and by chemical drying of sampled air. In addition, the package contains a lightweight thermal stabilisation system that reduces the influence of ambient temperature changes on the CO 2 sensor by two 5 orders of magnitude. During validation of COCAP's CO 2 measurements in simulated and real flights we found a measurement error of 1.2 µmol·mol −1 or better with no indication of bias. COCAP is a self-contained package that has proven well suited for the operation on board small UAS. Besides carbon dioxide dry air mole fraction it also measures air temperature, humidity and pressure. We describe the measurement system and our calibration strategy in detail to support others in tapping the potential of UAS for atmospheric trace gas measurements.

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Section: Carbon Dioxide Sensormentioning

confidence: 99%

Section: Cost Estimationmentioning

confidence: 99%

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COCAP: A carbon dioxide analyser for small unmanned aircraft systems

Kunz¹,

Lavrič²,

Gerbig³

et al. 2017

Preprint

Self Cite

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“…The results are building on the subsequent development of infrared sensing technology (Hummelgård et al 2015) led by SenseAir, Sweden.…”

Section: Introductionmentioning

confidence: 99%

Passive in-vehicle driver breath alcohol detection using advanced sensor signal acquisition and fusion

Ljungblad¹,

Hök²,

Allalou

et al. 2017

Traffic Injury Prevention

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Objective: The research objective of the present investigation is to demonstrate the present status of passive in-vehicle driver breath alcohol detection and highlight the necessary conditions for large-scale implementation of such a system. Completely passive detection has remained a challenge mainly because of the requirements on signal resolution combined with the constraints of vehicle integration. The work is part of the Driver Alcohol Detection System for Safety (DADSS) program aiming at massive deployment of alcohol sensing systems that could potentially save thousands of American lives annually. Method: The work reported here builds on earlier investigations, in which it has been shown that detection of alcohol vapor in the proximity of a human subject may be traced to that subject by means of simultaneous recording of carbon dioxide (CO 2 ) at the same location. Sensors based on infrared spectroscopy were developed to detect and quantify low concentrations of alcohol and CO 2 . In the present investigation, alcohol and CO 2 were recorded at various locations in a vehicle cabin while human subjects were performing normal in-step procedures and driving preparations. A video camera directed to the driver position was recording images of the driver's upper body parts, including the face, and the images were analyzed with respect to features of significance to the breathing behavior and breath detection, such as mouth opening and head direction. Results: Improvement of the sensor system with respect to signal resolution including algorithm and software development, and fusion of the sensor and camera signals was successfully implemented and tested before starting the human study. In addition, experimental tests and simulations were performed with the purpose of connecting human subject data with repeatable experimental conditions. The results include occurrence statistics of detected breaths by signal peaks of CO 2 and alcohol. From the statistical data, the accuracy of breath alcohol estimation and timing related to initial driver routines (door opening, taking a seat, door closure, buckling up, etc.) can be estimated.The investigation confirmed the feasibility of passive driver breath alcohol detection using our present system. Trade-offs between timing and sensor signal resolution requirements will become critical. Further improvement of sensor resolution and system ruggedness is required before the results can be industrialized. Conclusions: It is concluded that a further important step toward completely passive detection of driver breath alcohol has been taken. If required, the sniffer function with alcohol detection capability can be combined with a subsequent highly accurate breath test to confirm the driver's legal status using the same sensor device. The study is relevant to crash avoidance, in particular driver monitoring systems and drivervehicle interface design.

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“…The NDIR gas detection system is smaller and more cost effective than other optical gas measurement systems [7]. Furthermore, they have some advantages compared to the electrochemical gas sensors: high reliability, fast response and recovery times (less than 10 s), high selectivity and the ability to be configured for multiple gas measurement systems [8].…”

Section: Introductionmentioning

confidence: 99%

Properties of Non-dispersive infrared Ethanol Gas Sensors according to the Irradiation Energy

Kim¹,

Yi²

2017

Journal of Sensor Science and Technology

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A nondispersive infrared (NDIR) ethanol gas sensor was prototyped with ASIC implemented thermopile sensor, which included a temperature sensor and two ellipsoidal waveguide structures. The temperature dependency of the two ethanol sensors (with partially blocked and intact structures) has been characterized. The two ethanol gas sensors showed linear output voltages initially when varying the ambient temperature from 253 K to 333 K. The slope of the temperature sensor presented a constant value of 15 mV/K. After temperature compensation, the ethanol gas sensor estimated ethanol concentrations with larger errors of 20 to 25% below 200 ppm. However, the estimation errors were reduced to between −10 and +1 % from 253 K to 333 K above 200 ppm ethanol gas concentration in this research.

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Low-cost NDIR based sensor platform for sub-ppm gas detection

Cited by 39 publications

References 10 publications

COCAP: A carbon dioxide analyser for small unmanned aircraft systems

COCAP: A carbon dioxide analyser for small unmanned aircraft systems

Passive in-vehicle driver breath alcohol detection using advanced sensor signal acquisition and fusion

Properties of Non-dispersive infrared Ethanol Gas Sensors according to the Irradiation Energy

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