scholarly journals Analysis of power requirement of a small-sized tracked-tractor during agricultural field operations

2021 ◽  
Vol 924 (1) ◽  
pp. 012017
Author(s):  
M Ali ◽  
M N Islam ◽  
M N Reza ◽  
J G Hong ◽  
M A Gulandaz ◽  
...  
Keyword(s):  
High Efficiency ◽  
Average Power ◽  
Agricultural Field ◽  
Wireless Data ◽  
Data Logger ◽  
Power Requirement ◽  
Land Leveling ◽  
Female Farmers ◽  
Sensor Signals ◽  
Data Acquisition Module

Abstract A low-powered and high-efficiency electric tracked-tractor would be a suitable option for aged and female farmers to accomplish agricultural field operations such as grass mowing, land leveling, and chemical spraying. The purpose of the study was to analyze the power requirement of a small-sized tracked-tractor during agricultural field operations. A lawnmower and a rear sprayer-trailer were attached to the tractor base, and the average power requirement was measured. The forward speed was considered during the field experiment up to 6 km/h for four different operating stages. The torque data were obtained for unloaded and loaded conditions through a wireless data logger, and a GPS receiver was used to measure the working speed of the tractor. A data acquisition module was used to acquire the sensor signals. The average power requirements for the empty platform with the driver, a lawnmower, a sprayer-trailer (150-L payload), and a lawnmower and 150-L payload trailer were 0.93, 1.27, 1.45, and 1.70 kW, respectively. The result showed the lowest power was required for operating only the tractor, and it was about 51.15% of the motor rated power, where the maximum power consumed approximately 85% of the total rated power to operate both of the lawnmower and sprayer-trailer. The average power requirements of the tracked tractor varied due to the different payloads and operating stages. The experimental results presented in this study would provide guidelines to improve and commercialize the prototype of the small-scaled tracked-tractor for practical use on the agricultural fields.

Design of Wireless Fire Detection and Alarm System Based on ZigBee Technology

2013 ◽  
Vol 448-453 ◽  
pp. 3662-3665
Author(s):  
Bo Chen ◽  
Ze Hu ◽  
Liang Ge ◽  
Jun Lan Li
Keyword(s):  
High Efficiency ◽  
Fire Detection ◽  
Alarm System ◽  
Wireless Data ◽  
Zigbee Technology ◽  
Wireless Data Acquisition ◽  
Temperature Detection ◽  
Fire Alarm System ◽  
Transceiver Module ◽  
Data Acquisition Module

In order to transmit temperature and smoke signals timely and accurately in the fire alarm system of community, design one kind of wireless fire detection and alarm system, which is based on the wireless communication technology, ZigBee. When acquisition module receive the signals which come from the wireless data acquisition module which connected the room with temperature detection module, and then, send to the nearest backbone transceiver module, the defined center module receive the signals, at last, the signals are local-stored or transferred to fire center by GPRS. This design with the characters of low price, high efficiency and reliable, has a certain market.

Modeling of Contact Patch in Dual-Chamber Pneumatic Tires

2018 ◽  
Vol 46 (2) ◽  
pp. 78-92 ◽  
Author(s):  
A. I. Kubba ◽  
G. J. Hall ◽  
S. Varghese ◽  
O. A. Olatunbosun ◽  
C. J. Anthony
Keyword(s):  
Strain Sensors ◽  
Surface Strain ◽  
Wireless Data ◽  
Data Logger ◽  
Dual Chamber ◽  
Piezoelectric Polymer ◽  
Pure Rolling ◽  
Piezoelectric Elements ◽  
Strain Data ◽  
Deformation Patterns

ABSTRACT This study presents an investigation of the inner tire surface strain measurement by using piezoelectric polymer transducers adhered on the inner liner of the tire, acting as strain sensors in both conventional and dual-chamber tires. The piezoelectric elements generate electrical charges when strain is applied. The inner liner tire strain can be found from the generated charge. A wireless data logger was employed to measure and transmit the measured signals from the piezoelectric elements to a PC to store and display the readout signals in real time. The strain data can be used as a monitoring system to recognize tire-loading conditions (e.g., traction, braking, and cornering) in smart tire technology. Finite element simulations, using ABAQUS, were employed to estimate tire deformation patterns in both conventional and dual-chamber tires for pure rolling and steady-state cornering conditions for different inflation pressures to simulate on-road and off-road riding tire performances and to compare with the experimental results obtained from both the piezoelectric transducers and tire test rig.

scholarly journals Double-Deck Metal Solenoids 3D Integrated in Silicon Wafer for Kinetic Energy Harvester

Micromachines ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 74
Author(s):  
Nianying Wang ◽  
Ruofeng Han ◽  
Changnan Chen ◽  
Jiebin Gu ◽  
Xinxin Li
Keyword(s):  
Kinetic Energy ◽  
Power Density ◽  
Energy Harvester ◽  
High Efficiency ◽  
Vibrational Energy ◽  
Average Power ◽  
Wafer Level ◽  
Peak Voltage ◽  
Silicon Mold ◽  
Casting Technique

A silicon-chip based double-deck three-dimensional (3D) solenoidal electromagnetic (EM) kinetic energy harvester is developed to convert low-frequency (<100 Hz) vibrational energy into electricity with high efficiency. With wafer-level micro electro mechanical systems (MEMS) fabrication to form a metal casting mold and the following casting technique to rapidly (within minutes) fill molten ZnAl alloy into the pre-micromachined silicon mold, the 300-turn solenoid coils (150 turns for either inner solenoid or outer solenoid) are fabricated in silicon wafers for saw dicing into chips. A cylindrical permanent magnet is inserted into a pre-etched channel for sliding upon external vibration, which is surrounded by the solenoids. The size of the harvester chip is as small as 10.58 mm × 2.06 mm × 2.55 mm. The internal resistance of the solenoids is about 17.9 Ω. The maximum peak-to-peak voltage and average power output are measured as 120.4 mV and 43.7 μW. The EM energy harvester shows great improvement in power density, which is 786 μW/cm3 and the normalized power density is 98.3 μW/cm3/g. The EM energy harvester is verified by experiment to be able to generate electricity through various human body movements of walking, running and jumping. The wafer-level fabricated chip-style solenoidal EM harvesters are advantageous in uniform performance, small size and volume applications.

scholarly journals Monitoring water fluxes in rice plots under three different cultivation methods

2013 ◽  
Vol 44 (2s) ◽  
Author(s):  
Enrico Antonio Chiaradia ◽  
Daniele Ferrari ◽  
Gian Battista Bischetti ◽  
Arianna Facchi ◽  
Olfa Gharsallah ◽  
...  
Keyword(s):  
Management Practices ◽  
Water Cycle ◽  
Considerable Effect ◽  
Level Gauge ◽  
Total Production ◽  
Water Fluxes ◽  
Wireless Data ◽  
Data Logger ◽  
Groundwater Levels ◽  
The North

Italy is the leading producer of rice in Europe with over half of total production, almost totally concentrated in a large traditional paddy rice area between the Lombardy and Piedmont regions, in the north-western part of the country. In this area irrigation of rice has been traditionally carried out by flooding. The introduction of new combined irrigation and agronomic management practices (dry seeding followed by field flooding and in a full aerobic cultivation with intermittent irrigations), aiming to reduce the water consumption, can determine considerable effect on the landscape and the water cycle. With the aim to study in depth the water fluxes during the whole crop season, three experimental plots at the Ente Nazionale Risi-Rice Research Centre’s Experimental Station of Castello d’Agogna (PV) were instrumented. In each plot the following instruments have been installed: 1) a long throated flume and a double shaped (V-notch and rectangular) thin plate for superficial inputs and outputs, 3) a set of piezometers for groundwater levels, 4) one stage level gauge in each submerged field, 5) four tensiometers and moisture sensors clusters, 6) one eddy covariance station for vapour fluxes estimation. Most of the instruments were equipped with electrical sensors connected by cables to a wireless data logger that, in turn, send the data to a PC placed within ENR offices and web-connected by a LAN. In this way, besides the automatic download of data, it was possible to remotely control the devices, to quickly fix troubles, and to better plan the field trips. The management of the whole framework was done by a specifically developed software. In this paper the whole system, which presents some degree of innovation, is described in detail.

Assessment of Power Consumption of an Electrodynamic Dust Shield to Clean Solar Panels

2016 ◽  
Author(s):  
Jennifer K. W. Chesnutt ◽  
Bing Guo ◽  
Chang-Yu Wu
Keyword(s):  
Power Consumption ◽  
Dielectric Material ◽  
Average Power ◽  
Experimental Studies ◽  
Particle Interactions ◽  
Solar Panels ◽  
Particle Collisions ◽  
Monodisperse Particles ◽  
Power Requirement ◽  
Transport Distance

Substantial time and money have been directed toward photovoltaic solar power. However, mitigation of dust on solar panels has been largely neglected. The objective of this research was to determine the performance and power consumption of an electrodynamic dust shield (EDS) to clean solar panels as a function of dust particle size. We utilized a discrete element method to computationally simulate the transport, collision, and electrodynamic interactions of particles subjected to electrodynamic waves generated by an EDS. The EDS consisted of electrodes embedded within a dielectric material. 1250 monodisperse particles with diameters of 30–50 μm were simulated. In the absence of particle-particle interactions, an increase in diameter increased particle transport distance due to increased particle charge. However, inclusion of particle-particle collisions produced interactions such that an intermediate diameter yielded the smallest transport distance. Average power required to lift a particle off the surface was smallest with the smallest particle; however, power requirement decreased with diameter with a constant loading of particles on the EDS. Calculated from our simulation data, power consumption per unit area of an experimental EDS agreed with previous experimental studies. Our study elucidated important aspects of EDS operation and power consumption to mitigate dust on solar panels.

scholarly journals Low Power AVLS-TSPC based 2/3 Pre-Scaler

2019 ◽  
Vol 9 (1) ◽  
pp. 6687-6693
Keyword(s):  
Low Power ◽  
High Efficiency ◽  
Supply Voltage ◽  
Low Frequency ◽  
Cmos Technology ◽  
Frequency Signal ◽  
High Frequency Signal ◽  
Power Requirement ◽  
Fast Pace ◽  
Integer Division

The technology has grown at an ultra-fast pace along with the world. Small devices with less power and high efficiency are in demand. As the circuit size gets smaller, the power requirement increases due to a greater number of transistors. A pre-scaler is a circuit which reduces the high frequency signal to a low frequency signal by integer division. A new approach to low power pre-scaler is proposed in this paper, which is an add-on to the conventional pre-scaler circuit. A true single-phase clock (TSPC) circuit reduces the skew problems in the clock and is used to realize latches and flip-flops. The objective of low power is fulfilled by incorporating the Adaptive Voltage Level Source (AVLS) to TSPC based circuit. The proposed AVLS-TSPC based pre-scaler was analyzed for a frequency of 10 MHz with a supply voltage of 1.8 V for both divide by 2 and 3 modes. The proposed pre-scaler consumes considerably lesser power when compared to that of the existing pre-scaler circuit. The circuits are implemented in 180 nm CMOS technology using Cadence Virtuoso and simulated using Cadence Spectre.

scholarly journals Feasibility of Wireless Horse Monitoring Using a Kinetic Energy Harvester Model

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1730
Author(s):  
Ben Van Herbruggen ◽  
Jaron Fontaine ◽  
Anniek Eerdekens ◽  
Margot Deruyck ◽  
Wout Joseph ◽  
...  
Keyword(s):  
Energy Harvester ◽  
Ieee 802.15.4 ◽  
Vibrational Energy ◽  
Average Power ◽  
Forward Direction ◽  
Accelerometer Data ◽  
Wireless Data ◽  
Piezoelectric Energy ◽  
Operational Lifetime ◽  
Monitoring Devices

To detect behavioral anomalies (disease/injuries), 24 h monitoring of horses each day is increasingly important. To this end, recent advances in machine learning have used accelerometer data to improve the efficiency of practice sessions and for early detection of health problems. However, current devices are limited in operational lifetime due to the need to manually replace batteries. To remedy this, we investigated the possibilities to power the wireless radio with a vibrational piezoelectric energy harvester at the leg (or in the hoof) of the horse, allowing perpetual monitoring devices. This paper reports the average power that can be delivered to the node by energy harvesting for four different natural gaits of the horse: stand, walking, trot and canter, based on an existing model for a velocity-damped resonant generator (VDRG). To this end, 33 accelerometer datasets were collected over 4.5 h from six horses during different activities. Based on these measurements, a vibrational energy harvester model was calculated that can provide up to 64.04 μW during the energetic canter gait, taking an energy conversion rate of 60% into account. Most energy is provided during canter in the forward direction of the horse. The downwards direction is less suitable for power harvesting. Additionally, different wireless technologies are considered to realize perpetual wireless data sensing. During horse training sessions, BLE allows continues data transmissions (one packet every 0.04 s during canter), whereas IEEE 802.15.4 and UWB technologies are better suited for continuous horse monitoring during less energetic states due to their lower sleep current.

scholarly journals High-efficiency 50 W burst-mode hundred picosecond green laser

2020 ◽  
Vol 8 ◽  
Author(s):  
Ning Ma ◽  
Meng Chen ◽  
Ce Yang ◽  
Shang Lu ◽  
Xie Zhang ◽  
...  
Keyword(s):  
Near Infrared ◽  
High Efficiency ◽  
Second Harmonic ◽  
Beam Quality ◽  
Average Power ◽  
High Energy ◽  
Green Laser ◽  
Type I ◽  
Regenerative Amplifier ◽  
Burst Mode

We report high-energy, high-efficiency second harmonic generation in a near-infrared all-solid-state burst-mode picosecond laser at a repetition rate of 1 kHz with four pulses per burst using a type-I noncritical phase-matching lithium triborate crystal. The pulses in each burst have the same time delay ( ${\sim}1~\text{ns}$ ), the same pulse duration ( ${\sim}100~\text{ps}$ ) and different relative amplitudes that can be adjusted separately. A mode-locked beam from a semiconductor saturable absorber mirror is pulse-stretched, split into seed pulses and injected into a Nd:YAG regenerative amplifier. After the beam is reshaped by aspheric lenses, a two-stage master oscillator power amplifier and 4f imaging systems are applied to obtain a high power of ${\sim}100~\text{W}$ . The 532 nm green laser has a maximum conversion efficiency of 68%, an average power of up to 50 W and a beam quality factor $M^{2}$ of 3.5.

scholarly journals Core-Temperature Sensor Ingestion Timing and Measurement Variability

2010 ◽  
Vol 45 (6) ◽  
pp. 594-600 ◽  
Author(s):  
Joseph W. Domitrovich ◽  
John S. Cuddy ◽  
Brent C. Ruby
Keyword(s):  
Core Temperature ◽  
Repeated Measures ◽  
Peak Oxygen Uptake ◽  
Wireless Data ◽  
Data Logger ◽  
Measurement Variability ◽  
Percentage Body Fat ◽  
Trial Time ◽  
Time Interaction ◽  
Main Effect

Abstract Context: Telemetric core-temperature monitoring is becoming more widely used as a noninvasive means of monitoring core temperature during athletic events. Objective: To determine the effects of sensor ingestion timing on serial measures of core temperature during continuous exercise. Design: Crossover study. Setting: Outdoor dirt track at an average ambient temperature of 4.4°C ± 4.1°C and relative humidity of 74.1% ± 11.0%. Patients or Other Participants: Seven healthy, active participants (3 men, 4 women; age  =  27.0 ± 7.5 years, height  =  172.9 ± 6.8 cm, body mass  =  67.5 ± 6.1 kg, percentage body fat  =  12.7% ± 6.9%, peak oxygen uptake [V˙o2peak]  =  54.4 ± 6.9 mL•kg−1•min−1) completed the study. Intervention(s): Participants completed a 45-minute exercise trial at approximately 70% V˙o2peak. They consumed core-temperature sensors at 24 hours (P1) and 40 minutes (P2) before exercise. Main Outcome Measure(s): Core temperature was recorded continuously (1-minute intervals) using a wireless data logger worn by the participants. All data were analyzed using a 2-way repeated-measures analysis of variance (trial × time), Pearson product moment correlation, and Bland-Altman plot. Results: Fifteen comparisons were made between P1 and P2. The main effect of time indicated an increase in core temperature compared with the initial temperature. However, we did not find a main effect for trial or a trial × time interaction, indicating no differences in core temperature between the sensors (P1  =  38.3°C ± 0.2°C, P2  =  38.3°C ± 0.4°C). Conclusions: We found no differences in the temperature recordings between the 2 sensors. These results suggest that assumed sensor location (upper or lower gastrointestinal tract) does not appreciably alter the transmission of reliable and repeatable measures of core temperature during continuous running in the cold.

The Design of Modern Agriculture Control System Based on Internet of Things

2014 ◽  
Vol 513-517 ◽  
pp. 1519-1522 ◽  
Author(s):  
Bin Peng Wang
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
Precision Agriculture ◽  
Agricultural Production ◽  
Management System ◽  
High Efficiency ◽  
Modern Society ◽  
Wireless Data ◽  
Modern Agriculture ◽  
Wireless Data Transmission

This paper involves the modern agricultural application control system which is based on internet of things, and this intelligent management system uses intelligent control technology such as S7-300, GSM,WSN and Zigbee to realize the modernization of rural security, agricultural production and residents living fully intelligent managed. This system applies precision agriculture, digital image processing, wireless data transmission and other fields, really combining digital management technology with embedded technology. At the same time, this system which is based on internet of things is the necessary path of modern agriculture informatization strategy. With the mature development of technology of internet of things in modern society, modern agriculture application management system based on internet of things will bring new change to agriculture and high efficiency of agricultural production.

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