Power Sensor Research Articles

Working characteristics of a magnetostrictive vibration energy harvester for rotating car wheels.

The practice of harvesting vibration energy from machine tools, windmill blades, etc., and converting it into electric energy to power low-power electronic circuits has attracted wide attention from experts and scholars. Abundant vibrations that exist in the moving vehicle can be harvested to power sensors in tire pressure monitoring. In this paper, for the first time, a device is proposed to harvest the rotational vibration energy with the iron-gallium alloy (magnetostrictive material) as the core material. Such a device utilizes the coupling characteristics of Villarreal effect and Faraday electromagnetic effect to convert the vibration energy generated by the moving vehicle into electric energy. Upon completion of the design of the magnetostrictive rotational vibration energy harvester, the influence law of key factors, including substrate material, substrate size, and pre-magnetization field arrangement on the harvesting capability of the device, was studied in detail through experiments. An electric motor and vibration exciter were used to apply varied excitation forms to the harvester, and the output patterns of the harvester under conditions of wheel rotation, road bumps, and random vibration were fully analyzed. In addition, the correlation between the deformation of the cantilever beam and harvester performance was also investigated. The results have shown that at the acceleration of 9.6 g and the rotational speed of 90 r/min, the harvester can reach the output voltage of 1.22 V. Consequently, it demonstrates the feasibility of employing the magnetostrictive harvester to gather rotational vibration energy and provides theoretical guidance for further and deeper research on the harvester.

Electronic System for the Remote Monitoring of Solar Power Plant Parameters and Environmental Conditions

An electronic monitoring system was developed to monitor and analyze operating and environmental parameters of solar power plants. The electronic monitoring system consisted of two stages: the first stage was designed to receive data from temperature, illumination, voltage, electric current, and power sensors and modules; the second stage is for data collection, analysis, and display. Microcontrollers PIC18F25K22 (for data collection) and PIC24FV32KA302 (for data analysis and display) were used to implement the electronic monitoring system. RF module EBTYE OEM/ODM E32-433T20DC SX1278 433 MHz UART was used to transmit data to the central server. For the microcontrollers of both stages, original control program algorithms were developed, according to which program codes were written using the C programming language. Data were collected using the MySQL database. The virtual interface and application for displaying instant data were created using programming language Delphi. Data monitoring systems in the market have a number of shortcomings due to the difficulty of ensuring a centralized data management process. In addition, sensors used in most systems require a Wi-Fi Internet connection to transmit information, which is difficult to secure in remote solar parks. The aim of this work is to show that information transmission from individually deployed sensors to the central server can be ensured using the principle of RF communication, and data collection and analysis in a centralized way without additional costs for Wi-Fi networks in remote areas.

Planning and Manufacturing of Four Axis Solar Panels With Reflector Angle Adjustments

Solar thermal energy is one type of renewable energy, so this type of energy can be converted into other energy. This study uses a four-axis solar tracker with angle settings on the reflector to get optimal sunlight, scanning to determine the optimal lighting angle, measurement results are stored in real-time in the data logger. This study uses an LDR (Light Dependent Resistor) as a sunlight detector, equipped with several sensors, namely: current, voltage and power sensor (INA219), light sensor (MAX4409), and temperature sensor (DS18B20), and reflector angle as a parameter of solar efficiency panels. . The results showed that a four-axis solar tracker equipped with a reflector was able to increase the output power. The maximum power production produced by solar panels is: At a reflector angle of 300, the maximum power generated by a static panel is 143.43 W while a solar tracker is 175.15 W. At a reflector angle of 450 the maximum power generated by a static panel is 170.01 W and solar tracker 236.36 W. At an angled reflector of 600 the full power generated by a static panel is 87.77 W, and a solar tracker is 123.36 W. This study concludes that a solar tracker panel with an angle setting of 300 is more capable of maximizing power output than a static solar panel.
 
 Keyword : Solar Tracker, Four Axist, Reflektor

Modeling and Simulation of TiO2/Se Sensor for Detection of CO Gas Using Comsol Multiphysics

Metal oxide sensors are being used from past three decades. They still suffer from some disadvantages, such as high operating temperature, high power consumption, sensor stability, and cross sensitivity. Since the cost of development of these sensors is high, it is important to develop a mathematical model to economically predict the behavior of these sensors. In this context, research work focused on evaluating the performance of these sensors using numerical analysis software. In this work, modeling and simulating the gas sensing properties of Titanium dioxide/Selenium (MOS) sensor material to detect carbon monoxide (CO) gas using Comsol Multiphysics software has been proposed. The gas sensing simulation was performed using ‘Reaction engineering,’ ‘Transport of diluted species,’ ‘Surface reactions,’ and ‘Laminar flow’ interfaces of Comsol Multiphysics software on Titanium dioxide/Selenium material. Two kinds of simulations, space independent and space dependent simulation, was performed on this material in a constant volume gas chamber. The geometry was created in space dependent node, Comsol. The carbon monoxide gas was injected through gaussian pulse feed inlet at different concentrations (1 ppm, 5 ppm, 10 ppm, and 15 ppm) into the gas chamber and MOS sensor layer was allowed to reach steady state. The adsorption simulation on sensor layer exposed to carbon monoxide (CO) gas shows the change in surface concentration of the adsorbed CO molecules on the sensor layer.

Design and Implementation of IoT-Based SCADA for a Multi Microgrid System

This paper deals with the design and implementation of an internet of things (IoT) based supervisory control and data acquisition (SCADA) system for a multi microgrid system. The individual microgrid in this work is suggested to be consisting of solar photovoltaic (PV) array, battery bank, and diesel generator, in addition to national grid. IoT is used to provide a suitable wireless means to transfer the monitoring and control data between the generation subsystems and the microgrid controller. SCADA architecture that make use of IoT infrastructure enables efficient and reliable power sharing and also give a clear image about the system status and subsystem failure and power shortage. This system gets benefit of various sensors, including current, voltage, power, and temperature sensors, that are used to collect data from of the PV array and battery bank, and also gives clear image about power demand in each microgrid. The microcontroller ESP32 is used as remote terminal unit (RTU) controller in SCADA system in order to get data from sensors as well as to communicate with the master terminal unit (MTU). By using Cayenne remote server IoT platform deploy the message queuing telemetry transport (MQTT) protocol to store, monitor, and manage data from a MTU. The designed system is low-cost and effective system to monitor and control microgrids that contain many distributed generators.

Thermal shock-stabilized metal catalysts on oxide hemitubes: Toward ultrasensitive chemiresistors

To achieve powerful gas sensors oxide semiconductor chemiresistors, the uniform functionalization of nanocatalysts on the desired metal oxides is considered as a key strategy. However, still, it is challenging to achieve the nanocatalysts decoration on desired oxides without deterioration of target materials. In this study, thermal-shock (rapid joule-heating method) was applied to uniformly decorate Pt nanoparticles (NPs) on the surface of carbon nanofibers (CNFs) to achieve the uniform distribution of Pt NPs on one-dimensional structures. And then, SnO2 was physically deposited on the Pt NPs loaded CNFs and continuous heat-treatment was conducted to transfer the Pt NPs to desired SnO2 porous hemitubes. Thanks to the well-distributed Pt NPs on porous SnO2 hollow structures, the Pt laoded SnO2 hemitubes showed an exceptional sensitivity (Rair/Rgas = 1500 at 5 ppm) in H2S. Also, it showed high selectivity for H2S and high stability even under continuous gas exposure, confirming its potential as an effective H2S sensor.

Energy Harvester Based on an Eccentric Pendulum and Wiegand Wires.

This study proposed an energy harvester that combines an eccentric pendulum with Wiegand wires to harvest the kinetic energy of a rotating plate. The energy harvester converts the kinetic energy into electrical energy to power sensors mounted on the rotating plate or wheel. The kinetic model is derived from the Euler–Lagrange equation. The eccentric pendulum generates a swing motion from the direction variation of the centrifugal force and the gravitational force. The magnetic circuit is designed such that, during the swing motion, an alternating magnetic field is formed to induce the output voltage of the Wiegand wire. COMSOL software was used to simulate magnetic flux density and optimize the geometric parameters of magnets. Response surface methodology was used to formulate the output voltage model. Magnetic flux density affects output voltage dramatically. However, the output voltage is not sensitive to the gradient of magnetic flux density. The experimental results indicate that when the Wiegand wire is 14.2 mm from the magnet, the generation power is 0.118–1.15 mW, in a speed range of 240–540 rpm. When the Wiegand wire is 7.0 mm from the magnet, the generation power is 0.741–1.06 mW, in a speed range of 480–660 rpm.

Improved Method for Calibration and Nonlinearity Correction of Microwave Power Sensor

Improved Method for Calibration and Nonlinearity Correction of Microwave Power Sensor

Development and Challenge of Fluorescent Probes for Bioimaging Applications: From Visualization to Diagnosis.

Fluorescent probes have been used widely in bioimaging, including biological substance detection, cell imaging, in vivo biochemical reaction process tracking, and disease biomarker monitoring, and have gradually occupied an indispensable position. Compared with traditional biological imaging technologies, such as positron emission tomography (PET) and nuclear magnetic resonance imaging (MRI), the attractive advantages of fluorescent probes, such as real-time imaging, in-depth visualization, and less damage to biological samples, have made them increasingly popular. Among them, ultraviolet-visible (UV-vis) fluorescent probes still occupy the mainstream in the field of fluorescent probes due to the advantages of available structure, simple synthesis, strong versatility, and wide application. In recent years, fluorescent probes have become an indispensable tool for bioimaging and have greatly promoted the development of diagnostics. In this review, we focus on the structure, design strategies, advantages, representative probes and latest discoveries in application fields of UV-visible fluorescent probes developed in the past 3-5years based on several fluorophores. We look forward to future development trends of fluorescent probes from the perspective of bioimaging and diagnostics. This comprehensive review may facilitate the development of more powerful fluorescent sensors for broad and exciting applications in the future.

A molecular dynamics investigation of boiling heat transfer over wettability thermo-responsive surface

As one of the most effective heat dissipation technologies, Boiling Heat Transfer is widely used in fields like solar still, nuclear power plants, chips, and sensors. Recently, researchers have experimentally found that the wettability thermo-responsive surface could harvest the advantages of both hydrophilicity and hydrophobicity: It has denser nucleation sites when it is hydrophobic at low superheat, and higher critical heat flux when it switches to hydrophilic surface at high superheat. In this paper, a molecular dynamics study was carried out to deepen our understanding of boiling heat transfer over wettability thermo-responsive surface at the atomic level. In addition to the existing wettability switch mode, we also simulated a reverse mode whose wettability was hydrophilic at low superheat and hydrophobic at high superheat. The simulation results showed that wettability thermo-responsive surfaces under both switch modes were superior to wettability non-responsive ones especially the hydrophilic surface despite that it was thought to have a higher heat transfer efficiency, and the two switch modes themselves also had different heat transfer performance and characteristics. Moreover, three different thermo-responsive ranges were studied, results indicated that the switch range of temperature had an important impact on boiling, and an optimal switch range existed for the wettability thermo-responsive surface. In the end, the potential distribution, phase diagram and interfacial thermal conductance were discussed to further reveal the boiling mechanisms behind wettability thermo-responsive surfaces, conclusions drawn from this paper could provide more insights and conducive suggestions in this field.

LoRaWAN based internet of things (IoT) system for precision irrigation in plasticulture fresh-market tomato

Precision irrigation with sensors has proven to be effective for water saving in crop production. An Internet of Things (IoT) system is necessary for monitoring real-time data from sensors and automating irrigation systems. Long-range wide-area network (LoRaWAN), a type of low-power wide-area network (LPWAN), is a low-cost and easily implemented IoT system which can be used for precision crop irrigation. In this study, a LoRaWAN based IoT system was developed and evaluated as a precision irrigation tool on fresh-market tomato production in a plasticulture system. Four irrigation scheduling treatments were designed and tested, including irrigation based on crop evapotranspiration (ET), soil matric potential sensors (Watermark 200SS-5) at -60 kPa (MP60) or -40 kPa (MP40), and GesCoN fertigation decision support system (DSS). The treatments were arranged based on a randomized complete block design with four replicates. System feasibility, irrigation water use efficiency (iWUE), and crop yield were evaluated. Throughout the season, the overall water use efficiencies were 22.2, 26.5, 27.9, and 28.4 kg·m−3 for ET, MP60, MP40, and GesCoN, respectively. The results indicated that treatment MP60 and GesCoN had 15.2 and 22.1% higher marketable fruit yield than ET, while, MP40 had 12.5% lower marketable yield compared to ET. Overall, the LoRaWAN-based IoT system performed well in terms of power consumption, communication, sensor reading, and valve control. These results suggested that the IoT system can be implemented for precision and automatic irrigation operations for vegetable and other horticultural crops with enhancing crop's water use efficiency and sustainability.

Vulnerabilities in Wireless Sensor Networks: Attacks and Countermeasures

In wireless sensor networks, we look at routing security. There have been numerous sensor network routing protocols proposed, but none of them have been developed with security in mind. We propose security goals for sensor network routing, show how ad-hoc and peer-to-peer network attacks can be adapted into powerful sensor network attacks, introduce two new types of sensor network attacks––sinkholes and HELLO floods––and assess the security of all major sensor network routing protocols. We detail all of them as targets for debilitating attacks and offer countermeasures and design considerations. This is the first study of secure routing in sensor networks of its kind.

Construction of N-CDs and Calcein-Based Ratiometric Fluorescent Sensor for Rapid Detection of Arginine and Acetaminophen.

In our study, a unique ratiometric fluorescent sensor for the rapid detection of arginine (Arg) and acetaminophen (AP) was constructed by the integration of blue fluorescent N-CDs and yellowish-green fluorescent calcein. The N-CD/calcein ratiometric fluorescent sensor exhibited dual emission at 435 and 519 nm under the same excitation wavelength of 370 nm, and caused potential Förster resonance energy transfer (FRET) from N-CDs to calcein. When detecting Arg, the blue fluorescence from the N-CDs of the N-CD/calcein sensor was quenched by the interaction of N-CDs and Arg. Then, the fluorescence of our sensor was recovered with the addition of AP, possibly due to the stronger association between AP and Arg, leading to the dissociation of Arg from N-CDs. Meanwhile, we observed an obvious fluorescence change from blue to green, then back to blue, when Arg and AP were added, exhibiting the “on–off–on” pattern. Next, we determined the detection limits of the N-CD/calcein sensor to Arg and AP, which were as low as 0.08 μM and 0.02 μM, respectively. Furthermore, we discovered that the fluorescence changes of the N-CD/calcein sensor were only responsible for Arg and AP. These results suggested its high sensitivity and specificity for Arg and AP detection. In addition, we have successfully achieved its application in bovine serum samples, indicating its practicality. Lastly, the logic gate was generated by the N-CD/calcein sensor and presented its good reversibility. Overall, we have demonstrated that our N-CD/calcein sensor is a powerful sensor to detect Arg and AP and that it has potential applications in biological analysis and imaging.

Determination of Lorazepam Using the Electrocatalytic Effect of NiO/SWCNTs Modified Carbon Paste Electrode as a Powerful Sensor

Determination of Lorazepam Using the Electrocatalytic Effect of NiO/SWCNTs Modified Carbon Paste Electrode as a Powerful Sensor

A call to scale up biodiversity monitoring from idiosyncratic, small-scale programmes to coordinated, comprehensive and continuous monitoring across large scales

ABSTRACT Conservation managers cannot manage what they don’t know about, yet our existing biodiversity monitoring is idiosyncratic and small in scale. One of Australia’s commitments to the Convention for Biological Diversity in 2015 was the creation of a national biodiversity monitoring programme. This has not yet occurred despite the urgent need to monitor common and threatened species, as highlighted by the challenges of determining the biodiversity impacts of the Black Summer fires of 2019/20. In light of improvements to automation, miniaturisation and powering devices, the world urgently needs to scale-up biodiversity monitoring to become coordinated, comprehensive and continuous across large scales. We propose the BIOMON project that could achieve this where individual sensor nodes use machine learning models to identify biodiversity via sound or photos onboard. This could be coupled with abiotic data on temperature and humidity, plus factors such as bushfire smoke. Nodes would be set within networks that transmit the results back to a central cloud repository where robust analyses are conducted and provided free to the public (along with the raw data). Network arrays could be set up across entire continents to measure the change in biodiversity. No one has achieved this yet, and significant challenges remain associated with training the algorithms, low power cellular network coverage, sensor power versus memory trade-offs, and sensor network placement. Much work is still needed to achieve these goals; however we are living in the 21st Century and such lofty goals cannot be achieved unless we start working towards them.

A Novel RF Energy Harvester for Event-Based Environmental Monitoring in Wireless Sensor Networks

Perpetual energy source is the major research issue in the research community for energy-constrained wireless sensor network (WSN) and IoT applications. Radio-frequency (RF) energy harvesting has become a technology available round the clock due to increased communication activities. However, efficient RF energy harvesting for low-power regions [ <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$PRF \leq (0 {\mathrm{ dBm}})$ </tex-math></inline-formula> ] is still a challenge. This article proposes a novel RF energy harvesting technique along with an intelligent dynamic energy flow control algorithm. The algorithm works with dedicated energy flow control hardware. It is also able to provide perpetual life time to the ultralow power sensor nodes. A close approximation of the size of the RF energy harvester array is proposed for the perpetual lifetime of the WSN node deployed with wake-up radio for event-based monitoring applications. The model is verified by mathematical analysis, simulation, and fabricated prototype results for the operability in the given system. It is found that the circuit provides improved dc output voltage over the previous benchmark at low power in the range of −20 to 0 dBm. The system can charge a 2.7 V, 350 F supercapacitor with the rate <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$0.16~\mu \text{V}$ </tex-math></inline-formula> /s at 0 dBm, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$0.125~\mu \text{V}$ </tex-math></inline-formula> /s at −6 dBm, and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$0.08~\mu \text{V}$ </tex-math></inline-formula> /s at −20 dBm. To prove the utility of the proposed idea, an RF field survey is also conducted and found that the proposed circuit can harvest energy from high power region (≥ −6 dBm) for LTE850 and LTE 900 bands.

Monitoring and Energy Analysis of Plasma Discharge in Ozone Generator

Ozone can be produced by plasma processing. Plasma is the fourth form of matter after gas when the gas is energized to be ionized or charged. To achieve efficient energy, the monitoring plasma production process is required. In this study, the plasma analysis was successfully carried out using simultaneous current-voltage measurement. The equipment was set in an ozone plasma generator consisting of an MQ-131 gas ozone sensor, PZEM-004T power sensor, DHT22 sensor for room temperature and humidity, MLX-90614 infrared temperature sensor, and Arduino Mega 2560, connected to an oscilloscope. Ozone device and sensors give and extract data to measure power and the ionization energy in ozone generation. The calculation results show the ionization energy with the highest value of 8.4 x 10“7 loule and the lowest value of 2.82xl014Ioule.

Component-level re-commissioning of a newly retrofitted Danish healthcare building

The building sector is among the sectors with the highest energy use, responsible for 40% of the total energy consumption in the EU. The high energy consumption is partly due to inefficient operation and the delayed detection of faulty systems and components in the buildings, which entails both increased operational costs and CO2-emissions. Thus, building energy performance monitoring and evaluation is key in ensuring a proper building operation and timely detection of anomalies and faults on different levels. This can be implemented through systematic building commissioning, a quality-assuring process aiming to ensure that buildings are operating according to the expected performance. While initial commissioning of newly built buildings has been the norm in the last decades, re-commissioning of deeply retrofitted buildings is generally overlooked despite the potential and positive impacts. In this work, a whole-building EnergyPlus model is developed, calibrated, and employed for the re-commissioning of building components in a Danish health care building that has recently exhibited a deep energy retrofit process on various levels including the installation of new ventilation and cooling units. Both the calibration and the commissioning of these components is performed using data collected from non-invasive clamp-on temperature and power sensors. The commissioning process is performed using a limit checking technique with a predefined threshold, allowing the detection of multiple anomalies during the commissioning period.

Anti-freezing and stretchable triboelectric nanogenerator based on liquid electrode for biomechanical sensing in extreme environment

The development of intelligent and wearable electronics raises an urgent requirement for stretchable, durable power sources and sensors. Especially, self-powered sensor that can work with high sensing sensitivity and stability in harsh environments is greatly desired for wilderness exploration and urgent rescue. Herein, an anti-freezing, stretch-matched, and liquid electrode-based TENG (Abbr. as AS-TENG) is developed and demonstrated for biomechanical sensing in extremely cold environments. The liquid electrode with the integration of lithium chloride electrolyte, graphene oxide micro-/nano- sheets and ethylene glycol (LiCl/GO/EG) acted as the electrode is encapsulated within a dielectric elastomer as the electrification layer, allowing the resultant single-electrode AS-TENG to achieve a high stretchability of 200% and high electrical performance output with open-circuit voltage of 317 V, short-circuit current of 27 μA, and short-circuit charge of 100 nC. It can be used as a self-powered wearable sensor to be attached on human body for monitoring the biomechanical motion, and can also be used as a power source of a self-charging system to power electronic devices. Most importantly, the AS-TENG can work under severe condition within a wide temperature range (−40 ~ +25 °C) without sacrificing its sensing performance. This work provides a broad application prospect for the development of anti-freezing, stretchable, and liquid electrode-based TENG as wearable sensor under harsh conditions.

Rate Control Optimization Algorithm of Ubiquitous Power Sensor Network Tester Based on Multimedia

With more and more video application scenarios and increasing complexity, the popularization of multimedia information and the urgent need to update wireless sensor networks have led to the emergence and development of wireless multimedia sensor networks. This paper focuses on the rate control optimization algorithm of multimedia-based ubiquitous power sensor network, which is mainly studied from three aspects: constructing algorithm verification platform based on multimedia technology, performance analysis, and optimization of rate control optimization algorithm based on multimedia technology. An algorithm verification platform is established based on multimedia technology. This article uses a scalable video coding method to design a client-driven scalable video transmission system. The simulation results show that the algorithm can effectively improve the video quality. The algorithm of rate control based on multimedia technology is proposed. A reliable multipath routing algorithm based on AODV is proposed. Based on the energy balance algorithm, the node-independent routing mechanism and link quality estimation model are introduced. An independent and reliable active/standby communication link to the node of the destination node is established. Linux, the full name of GNU/Linux, is a free-to-use and freely disseminated Unix-like operating system. It is a POSIX-based multiuser, multitasking, multithreaded, and multi-CPU operating system. With the development of the Internet, Linux has gained support from software enthusiasts, organizations, and companies all over the world. In addition to maintaining a strong momentum of development in servers, it has made considerable progress in personal computers and embedded systems. Under the Linux platform, a large number of tests are performed and the performance of the control code rate is analyzed. The so-called sensor network is a distributed intelligent network system that is composed of a large number of small sensor nodes with wireless communication and computing capabilities deployed in the active area through a self-organizing method that can autonomously complete designated tasks according to the environment. The distance between the nodes of the sensor network is very short, and the multihop wireless communication method is generally used for communication. The sensor network can run in an independent environment, or it can be connected to the Internet through a gateway so that users can access it remotely. It is concluded that ABR is the most suitable rate control algorithm for video transmission. According to the CQP experiment results, the QP value set in the improved ABR algorithm is at most 40; the security from the construction of the ubiquitous power sensor network to the final monitoring data collection and upload process is verified by simulating the hypothesis attacks and faults. It is proved that the construction of ubiquitous power sensor network can reduce the energy consumption and delay of monitoring data collection and verify the superiority of constructing ubiquitous power sensor network.