Design and implementation of atmospheric multi-parameter sensor for UAV-based aerosol distribution detection

Yu, Fangjie; Liu, Yunfei; Fan, Longqing; Li, Linhua; Han, Yong; Chen, Ge

doi:10.1108/sr-09-2016-0199

Cited by 7 publications

(5 citation statements)

References 23 publications

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“…When the gyro is rotated, a small proof mass shifts as the angular velocity changes. Another integrated sensor is the barometric pressure sensor [17] that shows aerial robots' altitude data during the flight. A GPS sensor is used to stabilize the UAV.…”

Section: Uav Conceptsmentioning

confidence: 99%

Fire-fighting UAV with shooting mechanism of fire extinguishing ball for smart city

Zadeh

Abdulwakil

Amar

et al. 2021

IJEECS

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With the growth of technology and massive city development, firefighting services have become more challenging to cope with a smart-city concept. One of the challenges that firefighters are facing is reaching the top floors of high-raised buildings. Firefighters need heavy and oversized pieces of equipment to reach top floors, which they sometimes fail to deliver on time due to big cities' traffic. The proposed solution to this global problem is using firefighting unmanned aerial vehicle (UAV) to reach the top floors fast and efficiently; It can also provide a better vision for the firefighting team and slow down the spread of fire using fire extinguishing ball. In this paper, a noble design for a Firefighting UAV with shooting and dropping mechanism of fire extinguishing ball has been developed and successfully tested. A Camera with night vision has been integrated into the UAV to provide a helpful aid for firefighters. The UAV has a controller with a 2.4 GHz radio frequency (RF) signal and video surveillance to regulate the UAV's movement. The controller is also for activating the shooting and dropping mechanism. The researchers examined the behavior of the drone in terms of its stability and functionality.

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Section: Uav Conceptsmentioning

confidence: 99%

Fire-fighting UAV with shooting mechanism of fire extinguishing ball for smart city

Zadeh

Abdulwakil

Amar

et al. 2021

IJEECS

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“…Autonomous mobile robots navigate in diverse environmental conditions for performing multiple tasks (Murphy and Murphy, 2000;Gouveia and Choubey, 2016;Wang et al, 2016;Yu et al, 2017;Schoettle, 2017). To perform an efficient autonomous navigation of mobile robot, accurate perception of the environment is the foremost requirement.…”

Section: Prior Workmentioning

confidence: 99%

“…The laser occupancy grid map relies on the sensor accuracy, which gets reduced when laser sensor is put into operation in the harsh environment (Akai et al, 2016;Fersch et al, 2016;Filgueira et al, 2017;Yu et al, 2017). To demonstrate the influence of harsh environmental conditions, various perquisite experiments had been carried out by simulating rain in the laboratory as explained below.…”

Section: Experimental Setup To Study the Influence Of Challenging Environment On The Sensory Information Of Laser Sensor (Perquisite Expementioning

confidence: 99%

A modified sensor fusion framework for quantifying and removing the effect of harsh environmental condition for reliable mobile robot mapping

Singh

Nagla

2019

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Purpose An autonomous mobile robot requires efficient perception of the environment to perform various tasks in a challenging environment. The precise sensory information from the range sensors is required to accomplish prerequisites, such as SLAM, path planning and localization. But the accuracy and precision of the sensors become unreliable in harsh environmental conditions because of the effect of rain, dust, humidity, fog and smoke. The purpose of this paper is to generate robust mapping of the environment in harsh environmental conditions. Design/methodology/approach This paper presents a novel technique, averaging data with short range selection (ADWSRS), to reduce the effect of harsh environmental (rain, wind, humidity, etc.) conditions on sensory information (range) to generate reliable grid mapping. The sensory information on laser and sonar sensors in terms of probability values (occupied/unoccupied cell) in generating grid maps are fused after passing through two newly designed pre-processing filters: laser averaging filter and short range selection filter. This proposed approach relies on various aspects such as averaging laser data analogous to current pose of the sensor, selection of short range with respect to threshold value to remove the effect of specular reflection/crosstalk of sonar and a newly designed apparatus in which dirt cover (glass cover) and air blower are coupled to remove the influence of dirt, rain and humidity. Findings This proposed approach is tested in different environmental conditions, and to verify the consistency of the proposed approach, qualitative and quantitative analyses are carried out, which shows 42.5 per cent improvement in the probability value of occupied cells in the generated grid map. Originality/value The proposed ADWSRS approach reduced the effect of harsh environmental conditions such as fog, rain and smoke to generate efficient mapping of the environment, which may be implemented in diverse applications such as autonomous navigation, localization, path planning and mapping.

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“…However, it is fixed on spot and difficult to move, with limitations on observation range and height. The second is tethered aerostat observation, with different sensors loaded on tethered balloons to measure vertical distribution of high-level contaminants [14][15][16][17][18]. However, a tethered aerostat cannot flexibly observe in a wide range.…”

Section: Introductionmentioning

confidence: 99%

Unmanned Aerial Vehicle-Borne Sensor System for Atmosphere-Particulate-Matter Measurements: Design and Experiments

Wang

Han

Zhang

et al. 2019

Sensors

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An unmanned aerial vehicle (UAV) particulate-matter (PM) monitoring system was developed that can perform three-dimensional stereoscopic observation of PM2.5 and PM10 in the atmosphere. The UAV monitoring system was mainly integrated by modules of data acquisition and processing, wireless data transmission, and global positioning system (GPS). Particularly, in this study, a ground measurement-control subsystem was added that can display and store collected data in real time and set up measurement scenarios, data-storage modes, and system sampling frequency as needed. The UAV PM monitoring system was calibrated via comparison with a national air-quality monitoring station; the data of both systems were highly correlated. Since rotation of the UAV propeller affects measured PM concentration, this study specifically tested this effect by setting up another identical monitoring system fixed at a tower as reference. The UAV systems worked simultaneously to collect data for comparison. A correction method for the propeller disturbance was proposed. Averaged relative errors for the PM2.5 and PM10 concentrations measured by the two systems were 6.2% and 6.6%, respectively, implying that the UAV system could be used for monitoring PM in an atmosphere environment.

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Design and implementation of atmospheric multi-parameter sensor for UAV-based aerosol distribution detection

Cited by 7 publications

References 23 publications

Fire-fighting UAV with shooting mechanism of fire extinguishing ball for smart city

Fire-fighting UAV with shooting mechanism of fire extinguishing ball for smart city

A modified sensor fusion framework for quantifying and removing the effect of harsh environmental condition for reliable mobile robot mapping

Unmanned Aerial Vehicle-Borne Sensor System for Atmosphere-Particulate-Matter Measurements: Design and Experiments

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