Design and calibration of an innovative ultrasonic, arduino based anemometer

Allotta, Benedetto; Pugi, Luca; Massai, Tommaso; Boni, Enrico; Guidi, Francesco; Montagni, Marco

doi:10.1109/eeeic.2017.7977450

Cited by 12 publications

(10 citation statements)

References 9 publications

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“…Ultrasonic anemometer has a resolution of 0.10 m/s. Measurements on the ultrasonic anemometer are unstable because there are several factors, such as air temperature, air pressure, and air turbulence around the anemometer [8].…”

Section: Fig 8 Ultrasonic Anemometer Testing In the Fieldmentioning

confidence: 99%

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Development of Ultrasonic Anemometer Using HC-SR04 with Kalman Filter Based on Microcontroller Integrated IoT

et al. 2020

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Measurement of wind speed using an anemometer is very important in various fields. The most effective and efficient type of anemometer is the ultrasonic anemometer. This research develops an Arduino-based ultrasonic anemometer using the HC-SR04 sensor with a Kalman filter to reduce noise and integrated IoT with the Blynk application on a smartphone. The advantage of ultrasonic anemometer is not having analog signal conditioning and analog filters, thereby reducing the possibility of having noise, low cost, and can be monitored remotely. The ultrasonic anemometer has been calibrated on the wind tunnel and has a measurement resolution of 0.10 m/s and a measurement error of 0.14 m/s.

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Section: Fig 8 Ultrasonic Anemometer Testing In the Fieldmentioning

confidence: 99%

“…The main component of an ultrasonic anemometer is an ultrasonic sensor that has transmitter and receiver antennas [11]. Ultrasonic sensors used in ultrasonic anemometers have several types, such as 400EP18A [9] and MCUSD16A40S12RO [7,8]. The sensor requires an electronic circuit to be processed by Arduino.…”

Section: Introductionmentioning

confidence: 99%

Development of Ultrasonic Anemometer Using HC-SR04 with Kalman Filter Based on Microcontroller Integrated IoT

et al. 2020

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“…With the advancement of novel materials and techniques, researchers have devoted their efforts into developing various types of airflow sensors based on diversified sensing mechanisms such as thermal flow sensors [ 5 , 7 , 8 ], ultrasonic wind sensors [ 9 , 10 ], and vortex flow meters [ 11 ]. However, these types of airflow sensors suffer from some common issues including high cost of fabrication, drift problem during operation [ 12 , 13 ], large size and weight [ 14 , 15 ], and poor accuracy [ 16 , 17 ]. Thanks to the emergence of smart materials and devices over recent years [ 18 , 19 ], the current mainstream airflow sensors mainly rely on three types of sensing principles (i.e., piezoresistive [ 19 , 20 , 21 ], piezoelectric [ 1 , 22 , 23 ], and capacitive [ 24 ] principles).…”

Section: Introductionmentioning

confidence: 99%

A Direct-Writing Approach for Fabrication of CNT/Paper-Based Piezoresistive Pressure Sensors for Airflow Sensing

Chen

Tran

et al. 2021

Micromachines

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Airflow sensor is a crucial component for monitoring environmental airflow conditions in many engineering fields, especially in the field of aerospace engineering. However, conventional airflow sensors have been suffering from issues such as complexity and bulk in structures, high cost in fabrication and maintenance, and low stability and durability. In this work, we developed a facile direct-writing method for fabricating a low-cost piezoresistive element aiming at high-performance airflow sensing, in which a commercial pen was utilized to drop solutions of single-walled carbon nanotubes onto tissue paper to form a piezoresistive sensing element. The encapsulated piezoresistive element was tested for electromechanical properties under two loading modes: one loading mode is the so-called pressure mode in which the piezoresistive element is pressed by a normal pressure, and another mode is the so-called bending mode in which the piezoresistive element is bended as a cantilever beam. Unlike many other developed airflow sensors among which the sensing elements are normally employed as cantilever beams for facing winds, we designed a fin structure to be incorporated with the piezoresistive element for airflow sensing; the main function of the fin is to face winds instead of the piezoresistive element, and subsequently transfer and enlarge the airflow pressure to the piezoresistive element for the normal pressure loading mode. With this design, the piezoresistive element can also be protected by avoiding experiencing large strains and direct contact with external airflows so that the stability and durability of the sensor can be maintained. Moreover, we experimentally found that the performance parameters of the airflow sensor could be effectively tuned by varying the size of the fin structure. When the fin sizes of the airflow sensors were 20 mm, 30 mm, and 40 mm, the detection limits and sensitivities of the fabricated airflow sensors were measured as 8.2 m/s, 6.2 m/s, 3.2 m/s, 0.0121 (m/s)−2, 0.01657 (m/s)−2, and 0.02264 (m/s)−2, respectively. Therefore, the design of the fin structure could pave an easy way for adjusting the sensor performance without changing the sensor itself toward different application scenarios.

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“…In previous research activities authors have developed an autonomous sail drone [1] [2]. As a part of the V.E.L.A.…”

Section: Introductionmentioning

confidence: 99%

Energy Storage System optimization for an Autonomous SailBoat

Boni

Montagni

Moreschi

et al. 2019

2019 IEEE 5th International Forum on Research and Technology for Society and Industry (RTSI)

Self Cite

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Available energy optimization on permanently non-grid-connected systems is a critical task. In fact, optimizing the power consumption of the active subsystems is only a part of getting an increased autonomy. A full optimization cannot be done without taking into consideration the energy source and the energy storage system, whose efficiency directly effect the total system autonomy. In this paper we present the optimization of the energy storage system for an autonomous sail drone, based on the use of solar panels connected to backup batteries. The proposed study represents a significant use case, not only for the importance and the impact of the proposed sail-drone but also for the involved field application (autonomous self-propelled selfsustained system) which is finding an increasing number of different application and a strong interest among the scientific community.

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Design and calibration of an innovative ultrasonic, arduino based anemometer

Cited by 12 publications

References 9 publications

Development of Ultrasonic Anemometer Using HC-SR04 with Kalman Filter Based on Microcontroller Integrated IoT

Development of Ultrasonic Anemometer Using HC-SR04 with Kalman Filter Based on Microcontroller Integrated IoT

A Direct-Writing Approach for Fabrication of CNT/Paper-Based Piezoresistive Pressure Sensors for Airflow Sensing

Energy Storage System optimization for an Autonomous SailBoat

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