Articoli di riviste sul tema "Thermostat programming"
Segui questo link per vedere altri tipi di pubblicazioni sul tema: Thermostat programming.
Cita una fonte nei formati APA, MLA, Chicago, Harvard e in molti altri stili
Vedi i top-23 articoli di riviste per l'attività di ricerca sul tema "Thermostat programming".
Accanto a ogni fonte nell'elenco di riferimenti c'è un pulsante "Aggiungi alla bibliografia". Premilo e genereremo automaticamente la citazione bibliografica dell'opera scelta nello stile citazionale di cui hai bisogno: APA, MLA, Harvard, Chicago, Vancouver ecc.
Puoi anche scaricare il testo completo della pubblicazione scientifica nel formato .pdf e leggere online l'abstract (il sommario) dell'opera se è presente nei metadati.
Vedi gli articoli di riviste di molte aree scientifiche e compila una bibliografia corretta.
1
Rodríguez de Rivera, Pedro Jesús, Miriam Rodríguez de Rivera, Fabiola Socorro, Manuel Rodríguez de Rivera e Gustavo Marrero Callicó. "A Method to Determine Human Skin Heat Capacity Using a Non-Invasive Calorimetric Sensor". Sensors 20, n. 12 (17 giugno 2020): 3431. http://dx.doi.org/10.3390/s20123431.
Testo completoAbstract (sommario):
A calorimetric sensor has been designed to measure the heat flow dissipated by a 2 × 2 cm2 skin surface. In this work, a non-invasive method is proposed to determine the heat capacity and thermal conductance of the area of skin where the measurement is made. The method consists of programming a linear variation of the temperature of the sensor thermostat during its application to the skin. The sensor is modelled as a two-inputs and two-outputs system. The inputs are (1) the power dissipated by the skin and transmitted by conduction to the sensor, and (2) the power dissipated in the sensor thermostat to maintain the programmed temperature. The outputs are (1) the calorimetric signal and (2) the thermostat temperature. The proposed method consists of a sensor modelling that allows the heat capacity of the element where dissipation takes place (the skin) to be identified, and the transfer functions (TF) that link the inputs and outputs are constructed from its value. These TFs allow the determination of the heat flow dissipated by the surface of the human body as a function of the temperature of the sensor thermostat. Furthermore, as this variation in heat flow is linear, we define and determine an equivalent thermal resistance of the skin in the measured area. The method is validated with a simulation and with experimental measurements on the surface of the human body.
2
Stopps, Helen, e Marianne F. Touchie. "Residential smart thermostat use: An exploration of thermostat programming, environmental attitudes, and the influence of smart controls on energy savings". Energy and Buildings 238 (maggio 2021): 110834. http://dx.doi.org/10.1016/j.enbuild.2021.110834.
Testo completo
3
Gao, J.-P., G.-M. G. Zhu, E. G. Strangas e F.-C. Sun. "Equivalent fuel consumption optimal control of a series hybrid electric vehicle". Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 223, n. 8 (1 agosto 2009): 1003–18. http://dx.doi.org/10.1243/09544070jauto1074.
Testo completoAbstract (sommario):
Improvements in hybrid electric vehicle fuel economy with reduced emissions strongly depend on their supervisory control strategy. In order to develop an efficient real-time supervisory control strategy for a series hybrid electric bus, the proposed equivalent fuel consumption optimal control strategy is compared with two popular strategies, thermostat and power follower, using backward simulations in ADVISOR. For given driving cycles, global optimal solutions were also obtained using dynamic programming to provide an optimization target for comparison purposes. Comparison simulations showed that the thermostat control strategy optimizes the operation of the internal combustion engine and the power follower control strategy minimizes the battery charging and discharging operations which, hence, reduces battery power loss and extends the battery life. The equivalent fuel consumption optimal control strategy proposed in this paper provides an overall system optimization between the internal combustion engine and battery efficiencies, leading to the best fuel economy.
4
Chen, Chun-Chi, e Shih-Hao Lin. "A Time-Domain CMOS Oscillator-Based Thermostat with Digital Set-Point Programming". Sensors 13, n. 2 (29 gennaio 2013): 1679–91. http://dx.doi.org/10.3390/s130201679.
Testo completo
5
Vavrinevych, O., D. Hyrenko, T. Hyrenko, S. Omelchuk e A. Syrota. "Improvement of analytical determination of residual quantities of active substances of the triasole class in juices". Zurnal Hromatograficnogo tovaristva 20, n. 66 (24 novembre 2020): 24–32. http://dx.doi.org/10.15407/zht2020.66.024.
Testo completoAbstract (sommario):
Today, the most common among fungicides approved for use in Ukraine, as well as in other countries, are compounds of the triazole class. Juices, as a product of processing agricultural raw materials, can be consumed by a wide range of the population. The purpose of work was to develop analytical methods for compound of triazole (difenoconazole and propiconazole) in juices to ensure quality control of agricultural products grown with the use of these fungicides. Conditions for chromatography of difenoconazole and propiconazole using gas-liquid chromatography with capillary column SH-Rxi-5ms (30 m 0,25 mm) and electron capture detector were determined. Optimal conditions of difenoconazole chromatography were established: thermostat column temperature - 280 C, evaporator temperature - 290 C, detector thermostat temperature - 300 C. Retention time: isomer 1 - (6,91 +- 0,1) minutes, isomer 2 - (7,04 +- 0,1) minutes. The linear range of detection is 0,01-0,04 ug/cm3. The optimal conditions for chromatography of propiconazole were also established: the temperature of the column thermostat in the programming mode: initial T - 100 C with an exposure of 1 minute; from 90 C to 260 C - rate of temperature rise 40 C/min; exposure - 7,45 minutes; evaporator temperature - 270 C, detector temperature - 280 C. The retention time under these conditions was 3,49 +- 0,1 minutes for isomer 1 and 3,57 +- 0,1 minutes for isomer 2. The linear range of detection is 0,01-0,05 ug/cm3. The calibration dependence of the area of peaks of the investigated substances on their concentration was established and described by the linear regression equation.
6
Sahu, Kirti Sundar, Joel A. Dubin, Shannon E. Majowicz, Sam Liu e Plinio P. Morita. "Revealing the Mysteries of Population Mobility Amid the COVID-19 Pandemic in Canada: Comparative Analysis With Internet of Things–Based Thermostat Data and Google Mobility Insights". JMIR Public Health and Surveillance 10 (20 marzo 2024): e46903. http://dx.doi.org/10.2196/46903.
Testo completoAbstract (sommario):
Background The COVID-19 pandemic necessitated public health policies to limit human mobility and curb infection spread. Human mobility, which is often underestimated, plays a pivotal role in health outcomes, impacting both infectious and chronic diseases. Collecting precise mobility data is vital for understanding human behavior and informing public health strategies. Google’s GPS-based location tracking, which is compiled in Google Mobility Reports, became the gold standard for monitoring outdoor mobility during the pandemic. However, indoor mobility remains underexplored. Objective This study investigates in-home mobility data from ecobee’s smart thermostats in Canada (February 2020 to February 2021) and compares it directly with Google’s residential mobility data. By assessing the suitability of smart thermostat data, we aim to shed light on indoor mobility patterns, contributing valuable insights to public health research and strategies. Methods Motion sensor data were acquired from the ecobee “Donate Your Data” initiative via Google’s BigQuery cloud platform. Concurrently, residential mobility data were sourced from the Google Mobility Report. This study centered on 4 Canadian provinces—Ontario, Quebec, Alberta, and British Columbia—during the period from February 15, 2020, to February 14, 2021. Data processing, analysis, and visualization were conducted on the Microsoft Azure platform using Python (Python Software Foundation) and R programming languages (R Foundation for Statistical Computing). Our investigation involved assessing changes in mobility relative to the baseline in both data sets, with the strength of this relationship assessed using Pearson and Spearman correlation coefficients. We scrutinized daily, weekly, and monthly variations in mobility patterns across the data sets and performed anomaly detection for further insights. Results The results revealed noteworthy week-to-week and month-to-month shifts in population mobility within the chosen provinces, aligning with pandemic-driven policy adjustments. Notably, the ecobee data exhibited a robust correlation with Google’s data set. Examination of Google’s daily patterns detected more pronounced mobility fluctuations during weekdays, a trend not mirrored in the ecobee data. Anomaly detection successfully identified substantial mobility deviations coinciding with policy modifications and cultural events. Conclusions This study’s findings illustrate the substantial influence of the Canadian stay-at-home and work-from-home policies on population mobility. This impact was discernible through both Google’s out-of-house residential mobility data and ecobee’s in-house smart thermostat data. As such, we deduce that smart thermostats represent a valid tool for facilitating intelligent monitoring of population mobility in response to policy-driven shifts.
7
Davoodi, Jamal, e Samaneh Khoshkhatti. "Molecular Dynamics Simulation of Thermal Conductivity of Aluminum". Defect and Diffusion Forum 336 (marzo 2013): 47–55. http://dx.doi.org/10.4028/www.scientific.net/ddf.336.47.
Testo completoAbstract (sommario):
In this research, the thermal conductivity of aluminum (Al) in macro scale was investigated by the molecular dynamics simulation technique. We used FORTRAN programming in the simulations and used a fixed number of atoms, N, confined to a fixed pressure, P, and maintained at a constant preset temperature, T, i.e. the NPT ensemble. The Sutton-Chen many-body potential was used to calculate energy and force. The temperature and pressure of the system were controlled by Nosé-Hoover thermostat and Berendsen barostat respectively. We could solve the equations of motion using the Velocity Verlet algorithm. We calculated the thermal conductivity of Al in the macro scale using the Green-Kubo method. Moreover, we have studied the effect of increasing temperature on the value of the thermal conductivity of Al. The obtained results showed that the computed thermal conductivities are in good agreement with experimental data.
8
Kamyar, Reza, e Matthew M. Peet. "Optimal Thermostat Programming for Time-of-Use and Demand Charges With Thermal Energy Storage and Optimal Pricing for Regulated Utilities". IEEE Transactions on Power Systems 32, n. 4 (luglio 2017): 2714–23. http://dx.doi.org/10.1109/tpwrs.2016.2618374.
Testo completo
9
Riski, Sestri Novia. "SISTEM PAKAR UNTUK MENDETEKSI KESALAHAN ELEKTRODA PADA PROSES WELDING FRAME THERMOSTAT PADA SOULPLATE MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB (STUDI KASUS PT PHILIPS)". Edik Informatika 3, n. 2 (9 ottobre 2017): 211–25. http://dx.doi.org/10.22202/ei.2017.v3i2.2248.
Testo completoAbstract (sommario):
The use of SMAW (Shielded Metal Arc Welding) in the industrial world is enough widely used. With this machine the human greatly helped by the need to make a metal object. So that by the frequent use of these tools, the more susceptible it is also a tool damage. Technicians machines supplied by the company are not proportional to the number of machines. Therefore, to help resolve this issue needs an expert system that can act as an assistant to the engineer. Data relating to the damage processed using forward chaining expert system. Expert systems are made using the programming language PHP and MySQL database so as to produce an expert system to detect damage SMAW web based. So it can help technicians solve problems SMAW and can also be used for the source of knowledge about the condition and its causes and solutions to overcome them.
10
Bondar, Oleksiy. "Predictive Neural Network in Multipurpose Self-Tuning Controller". Acta Mechanica et Automatica 14, n. 2 (1 giugno 2020): 114–20. http://dx.doi.org/10.2478/ama-2020-0017.
Testo completoAbstract (sommario):
AbstractA very important problem in designing of controlling systems is to choose the right type of architecture of controller. And it is always a compromise between accuracy, difficulty in setting up, technical complexity and cost, expandability, flexibility and so on. In this paper, multipurpose adaptive controller with implementation of artificial neural network is offered as an answer to a wide range of tasks related to regulation. The effectiveness of the approach is demonstrated by the example of an adaptive thermostat. It also compares its capabilities with those of classic PID controller. The core of this approach is the use of an artificial neural network capable of predicting the behaviour of controlled object within its known range of parameters. Since such a network, being trained, is a model of a regulated system with arbitrary precision, it can be analysed to make optimal management decisions at the moment or in a number of steps. Network learning algorithm is backpropagation and its modified version is used to analyse an already trained network in order to find the optimal solution for the regulator. Software implementation, such as graphical user interface, routines related to neural network and many other, is done using Java programming language and Processing open-source integrated development environment.
11
Guan, Jen-Chiun, Bo-Chiuan Chen e Yuh-Yih Wu. "Design of an Adaptive Power Management Strategy for Range Extended Electric Vehicles". Energies 12, n. 9 (28 aprile 2019): 1610. http://dx.doi.org/10.3390/en12091610.
Testo completoAbstract (sommario):
The cruising distance of the range extended electric vehicle (REEV) can be further extended using a range extender, which consists of an engine and a generator, i.e., a genset. An adaptive power management strategy (PMS) based on the equivalent fuel consumption minimization strategy (ECMS) is proposed for the REEV in this paper. The desired trajectory of the state of charge (SOC) is designed based on the energy-to-distance ratio, which is defined as the difference between the initial SOC and the minimum allowable SOC divided by the remaining travel distance, for discharging the battery. A self-organizing fuzzy controller (SOFC) with SOC feedback is utilized to modify the equivalence factor, which is defined as the fuel consumption rate per unit of electric power, for tracking the desired SOC trajectory. An instantaneous cost function, that consists of the fuel consumption rate of the genset and the equivalent fuel consumption rate of the battery, is minimized to find the optimum power distribution for the genset and the battery. Dynamic programming, which is a global minimization method, is employed to obtain the performance upper bound for the target REEV. Simulation results show that the proposed algorithm is adaptive for different driving cycles and can effectively increase the fuel economy of the thermostat control strategy (TCS) by 11.1% to 16%. The proposed algorithm can also reduce average charging/discharging powers and low SOC operations for possibly extending the battery life and increasing the battery efficiency, respectively. An experiment of the prototype REEV on a chassis dynamometer is set up with the proposed algorithm implemented on a real-time controller. Experiment results show that the proposed algorithm can increase the fuel economy of the TCS by 7.8% for the tested driving cycle. In addition, the proposed algorithm can reduce the average charge/discharge powers of TCS by 7.9% and 11.7%, respectively.
12
Sibanda, Palesa S., Ilesanmi A. Daniyan, Khumbulani Mpofu, Elvis P. Sekano e Walter T. Seloane. "Performance Evaluation of a Smart Welding Fixture and Jig Assembly". International journal of applied engineering and technology (London) 5, n. 3 (29 settembre 2023): 163–70. http://dx.doi.org/10.61485/ijaet/v5-3-2023-21.
Testo completoAbstract (sommario):
The increasing global competitiveness, dynamic customers’ and markets requirements as well as the bottom-line of profitability necessitate the use of smart welding fixture and jigs as work holding and locating devices during component parts manufacturing. This study presents the performance evaluation of a smart welding fixture and jig for welding operation. The smart welding fixture and jig assembly consists of a compressor, proximity sensors, thermostat, cooling system, clamping elements, fixture body support, cables as well as a control panel for pre-programming the conditions for the welding operation. The performance evaluation was carried out by comparing the pressure and the time taken for clamping and unclamping activities. The pressure selected for the evaluation ranges between 241 316.6 Pa - 792 897.4 Pa while measurement was taken in terms of the time it took the edges-gripping clamps to return to their initial states. The results obtained also show that at as the pressure increase, there was a decrease in the time taken for the clamping and unclamping activities up to 379 211.8 Pa. Further increase in the pressure beyond 379 211.8 Pa first resulted in an increase in the time taken up to 792 897.4 Pa. When the pressure was increased beyond 792 897.4 Pa, it was observed that the time taken for the clamping and unclamping activities begin to increase and later reduces. The machine demonstrated the potential for saving 32.26% of the total time during the manual operation when the machine is operated in an automatic mode. This study provides empirical findings that can assist manufacturing industries particularly those who employ welding as a means of product fabrication in achieving welding operations in a timely and cost effective manner with less human intervention.
13
Kapustina, Irina S., Alexander V. Lazukin, Vadim N. Nurminsky, Olga I. Grabelnykh, Natalia V. Ozolina, Veronika V. Gurina e Ekaterina V. Spiridonova. "FATTY ACID CONTENT AND MORPHOLOGICAL INDICATORS OF WINTER WHEAT (TRITICUM AESTIVUM L.) SEEDLINGS GROWN FROM SEEDS TREATED WITH OZONE". Siberian Journal of Life Sciences and Agriculture 15, n. 6 (29 dicembre 2023): 125–47. http://dx.doi.org/10.12731/2658-6649-2023-15-6-962.
Testo completoAbstract (sommario):
Background. Presently, a selection of environmentally friendly technologies for pre-sowing treatment of wheat seeds is conducted in agriculture. Ozone, an allotropic form of oxygen, is highly reactive, acts as an effective insecticide, promotes seed improvement, and reduces soil contamination. The impact of ozone on seeds is one of the promising technologies to improve the quality of seedlings. It is known that the field germination of winter wheat may be less than 50%, depending on the environmental conditions, and therefore the quality of seedlings is very important.
Purpose. To evaluate the effect of different ozone concentrations on morphological parameters and synthesis of fatty acids (FA) in winter wheat seedlings.
Materials and methods. The object of the study was the seeds of soft winter wheat (variety Irkutskaya). The ozonation was conducted with ozone concentrations of 2, 4, 6 and 8 g/m3 during 15, 30, 45 and 60 min. The germination of treated and control seeds was carried out for three days in the dark in a thermostat (24±1°C). On the third day, the morphometric characteristics were measured. The extraction of lipids from shoots and roots was carried out according to the method of Bligh, Dyer [14]. The methyl esters of lipid fatty acids were analyzed by chromato-mass spectrometry. Statistical data processing was conducted with the use of R programming language and SigmaPlot v. 12.5.
Results. Ozone in concentrations of 2, 4, 6 g/m3 has a stimulating effect on seedling germination, the length of the shoots and roots increases. At ozone concentration of 8 g/m3, the length of the shoots and roots decreases.
There is a general trend in the content of fatty acids, in the shoots of seedlings there is some decrease in lipid unsaturation, and in the roots - some increase in lipid unsaturation.
Conclusion. Ozone in concentrations up to 8 g/m3 is suitable for pre-sowing seed treatment and improves seedling performance.
14
Wang, Tao Xi, Lu Lu Chang, Yun Hui Geng e Xing Shen. "Thermo-Responsive Shape Memory Effect and Conversion of Porous Structure in a Polyvinyl Chloride Foam". Polymers 12, n. 9 (4 settembre 2020): 2025. http://dx.doi.org/10.3390/polym12092025.
Testo completoAbstract (sommario):
In this paper, a thermo-responsive shape memory effect in a polyvinyl chloride thermoset foam is characterized. Excellent shape recovery performance is observed in foam samples programmed both at room temperature and above their transition temperature. The conversion of porous structures in the foam from closed-cell to open-cell after a shape memory effect cycle is revealed via a series of specially designed oil-dripping experiments and optical images of the micro pores. Programming the strain higher than 20% results in an apparent increase in open-cell level, whereas programming temperatures have almost no influence.
15
Li, Guoqiang, e Amir Shojaei. "A viscoplastic theory of shape memory polymer fibres with application to self-healing materials". Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 468, n. 2144 (11 aprile 2012): 2319–46. http://dx.doi.org/10.1098/rspa.2011.0628.
Testo completoAbstract (sommario):
The difficulty in healing structural damage is that most existing schemes need external help to bring the fractured surfaces in contact before healing can occur. To facilitate the existing schemes to heal macroscopic cracks, we envision that the cracked surfaces can be brought in contact through constrained shape recovery of a shape memory polymer (SMP) fibre-reinforced grid skeleton that is embedded in thermoset polymer matrix, similar to stitch a cut in the human skin by suture. In this study, we show that polyurethane SMP fibres can be hardened through cyclic cold-drawing programming, which makes them suitable for reinforcement and healing in thermoset polymer composites. We characterized the microstructure of the SMP fibres, which provides fundamental understanding of the effect of programming on the degree of crystallinity and molecular orientation. Then, a micromechanical multiscale viscoplastic theory is developed to predict the thermomechanical behaviours of the SMP fibres, including the cyclic hardening and stress recovery responses. The proposed theory takes into account the stress-induced crystallization process and the evolution of the morphological texture based on the applied stresses. The cyclic loading and the thermomechanical responses of the SMP fibres confirm the capabilities of the proposed model in capturing these phenomena.
16
Li, Guoqiang, Abe King, Tao Xu e Xiaoming Huang. "Behavior of Thermoset Shape Memory Polymer-Based Syntactic Foam Sealant Trained by Hybrid Two-Stage Programming". Journal of Materials in Civil Engineering 25, n. 3 (marzo 2013): 393–402. http://dx.doi.org/10.1061/(asce)mt.1943-5533.0000572.
Testo completo
17
Cvetkoska, Dijana, e Filip Kochoski. "FUNCTIONAL DEPENDENCE OF LASER POWER AND LAYUP SPEED FOR AUTOMATIC FIBRE PLACEMENT TEMPERATURE CONTROL". Knowledge International Journal 34, n. 3 (4 ottobre 2019): 613–19. http://dx.doi.org/10.35120/kij3403613c.
Testo completoAbstract (sommario):
Automated Fiber Placement (AFP) is a relatively new technology that has revolutionized the production of composite structures in the aerospace and space industries for more than two decades and is nowadays increasingly used in new industries such as the wind energy. Generally, the AFP machine consists of an automatic manipulator (robot) on which a layup head is fixed for laying multiple individual composite strips at once (certainly not excluding the possibility of laying a single wider tape when it comes to Automatic Tape Placement). The layup process is performed on a mandrel or tool with a certain geometric shape. The laying head should at least include a feeder, a cutting mechanism, a compaction mechanism (usually roller) and a certain type of heater (depending on the material type). Conventionally, three types of composite materials are used in combination with AFP technology: continuous fibers reinforced with thermoset resin (usually epoxy resin), same continuous fibers reinforced with thermoplastic resin as well as bonded continuous carbon fibers. Depending on the type of material this technology uses various types of heat sources in order to achieve a good adhesion to the individual fibers that are deposited in the laying process and the pre-laid composite layers. Thermoplastic pre-impregnated material requires high temperature to reach degree of melting of the resin used to achieve complete 'welding' with the previous layers. The melting temperature varies for different materials and ranges from 130°C to 200°C for low melting thermoplastics (such as Polyamide PA and Polypropylene PP), 280°C to 350°C for Polypropylene Sulfide (PPS) up to 400°C - 450oC for Polyether Ether Ketone (PEEK). For more than two decades, hot gas torches have been used for thermoplastic layup - not a very expensive system but very difficult to control. One of the newer sources of heat close to infrared radiation (λ = 0.9-1.1 μm) is diode laser heating. This research presents a simple thermal model of the process which correlates the heater power and the layup speed with the temperature of the heating area. The deposition temperature was measured over a range of heater powers and layup speeds. The experimental data is used to define and validate a thermal model for thermoplastic material used in conjunction with a diode laser: carbon fibre reinforced thermoplastics PEEK. This enables open-loop, speed dependent heater power control, based on defining and programming the speed dependent heater power function in the machine controls. Obtained functional dependency was implemented in the AFP machine control system and tested for production of several plates with different layup angles. The achieved temperature during layup process is monitored on the thermal camera and through several pyrometers.
18
Ding, Xiaofeng, Tong Li, Fuqiang Zhao, Dexin Kong e Mingjun Wei. "Research on Energy Management Strategy for Extended‐Range Electric Vehicle Based on Bargaining Game". Energy Technology, 30 gennaio 2024. http://dx.doi.org/10.1002/ente.202301118.
Testo completoAbstract (sommario):
To improve the fuel economy and battery life of extended‐range electric vehicles (EREVs), an energy management strategy (EMS) based on the bargaining game (BG) is proposed. This strategy optimizes the overall economy by optimizing power allocation. First, a bargaining model for EREVs is developed. The model considers the auxiliary power unit (APU) and the battery as two parties of the game. The power allocation between the APU and the battery optimizes both the fuel consumption and the battery life. And it also improves the overall benefit of the vehicle. Second, the effect of the discount factor on the control results is analyzed to obtain the best optimization results. Finally, compared to the thermostat strategy and the dynamic programming‐based strategy, the proposed BG‐based strategy reduces fuel consumption by 27.6% and 1.4% under the World Light Vehicle Test Procedure and reduces the effective ampere‐hour fluxes by 62.7% and 14.6%. Under the China Light‐duty Vehicle Test Cycle, it reduces fuel consumption by 32.5% and 0.5% and reduces the effective ampere‐hour fluxes by 56.8% and 27.5%. The simulation results manifest the excellent performance of the proposed BG‐based EMS.
19
"Iot Integrated Industrial Automation for Wsn Applications". International Journal of Innovative Technology and Exploring Engineering 8, n. 12S (26 dicembre 2019): 617–23. http://dx.doi.org/10.35940/ijitee.l1152.10812s19.
Testo completoAbstract (sommario):
To collect and analyze the data for physical parameter analysis in various applications such as Industrial monitoring wireless sensor network has been deployed in our research design. In this design, ZigBee based observing framework is developed with Internet of Things, using temperature/humidity sensors, moisture sensor, Gas sensor and water level sensor. Web of Things (IoT) has drawn tons of consideration and is required to be favorable to various application zones like modern WSN frameworks, and natural frameworks for better information obtaining for IoT portrayal. A sensor based information obtaining framework is a basic part for industrial automotive control frameworks. In this research the main concern is to establish the connectivity and computing capability to all the sensors using Arduino and ARM cortex. Proposing a novel method to plan a reconfigurable information securing framework for modern sensors, in which Arduino and ARM Cortex has been adopted as the core controllers. This system can read the real time data with high speed in parallel because here both dynamic and static system reconfigurations are used. Based on the ZigBee and internet protocol, brilliant Industry framework was planned with the execution of related programming and equipment which can associate the different units together and give a brought together interface to clients to communicate with the observing square. Some fundamental highlights are recorded, for example, smart sensor interface, lighting control, Fan control, Thermostat control, vibration monitoring, remote control, smart energy, security and safety.
20
Casella, Enrico, Simone Silvestri, D. A. Baker e Sajal K. Das. "A Human-Centered Power Conservation Framework based on Reverse Auction Theory and Machine Learning". ACM Transactions on Cyber-Physical Systems, 5 aprile 2024. http://dx.doi.org/10.1145/3656348.
Testo completoAbstract (sommario):
Extreme outside temperatures resulting from heat waves, winter storms, and similar weather-related events trigger the Heating Ventilation and Air Conditioning (HVAC) systems, resulting in challenging, and potentially catastrophic, peak loads. As a consequence, such extreme outside temperatures put a strain on power grids and may thus lead to blackouts. In order to avoid the financial and personal repercussions of peak loads, demand response and power conservation represent promising solutions. Despite numerous efforts, it has been shown that the current state-of-the-art fails to consider: i) the complexity of human behavior when interacting with power conservation systems; and ii) realistic home-level power dynamics. As a consequence, this leads to approaches that are i) ineffective due to poor long-term user engagement; and ii) too abstract to be used in real-world settings. In this paper, we propose an auction-theory-based power conservation framework for HVAC designed to address such individual human component through a three-fold approach: personalized preferences of power conservation, models of realistic user behavior , and realistic home-level power dynamics . In our framework, the System Operator (SO) sends Load Serving Entities (LSEs) the required power saving to tackle peak loads at the residential distribution feeder. Each LSE then prompts its users to provide bids , i.e., personalized preferences of thermostat temperature adjustments, along with corresponding financial compensations. We employ models of realistic user behavior by means of online surveys to gather user bids and evaluate user interaction with such system. Realistic home-level power dynamics are implemented by our machine-learning-based Power Saving Predictions (PSP) algorithm, calculating the individual power savings in each user’s home resulting from such bids. A machine-learning-based Power Saving Predictions (PSP) algorithm is executed by the users’ Smart Energy Management System (SEMS). PSP translates temperature adjustments into the corresponding power savings. Then, the SEMS sends bids back to the LSE, which selects the auction winners through an optimization problem called POwer Conservation Optimization (POCO). We prove that POCO is NP-hard, and thus provide two approaches to solve this problem. One approach is an optimal pseudo-polynomial algorithm called DYnamic programming Power Saving (DYPS), while the second is a heuristic polynomial-time algorithm called Greedy Ranking Allocation (GRAN). EnergyPlus, the high-fidelity and gold-standard energy simulator funded by the U.S. Department of Energy, was used to validate our experiments, as well as to collect data to train PSP. We further evaluate the results of the auctions across several scenarios, showing that, as expected, DYPS finds the optimal solution, while GRAN outperforms recent state-of-the-art approaches.
21
Lamkharbach Yassine, Berrada Mohammed, Bazi Fathallaah, Bouamrani Mouna Latifa, Brighal Hajar e Bassiri Mustapha. "Using Temperature and Humidity Wireless Sensor and An Arduino Board to Characterise and Verify Climatic and Thermostatic Chambers on A Webpage According to Standard NF X 15-140". Iraqi Journal of Science, 13 gennaio 2021, 82–89. http://dx.doi.org/10.24996/ijs.2021.si.1.11.
Testo completoAbstract (sommario):
Environmental controls, especially for temperature and humidity, are essential to maintain the safety, purity and effectiveness of drugs. The measurement of humidity can be particularly difficult and important in climatic and thermostatic chambers (warehouses, ovens, cold rooms, fridges, drying rooms, insulated boxes, etc.).The old method of monitoring and qualification of climatic and thermostatic chambers requires placing a defined number of recorders, then programming and store them. After that, to examine the values recorded to revolve the status of the climatic and thermostatic chambers, if they are compliant or not-complaint at any time, so all that goes to waste time and efficiency of values.We can do the monitoring and qualification of climatic and thermostatic chambers; we can verify the status of our chambers compliant or not-compliant, and this in favor to an original system that we developed.Our system can be used to allow staff to qualify and receive warnings or to autonomously regulate our physical quantities when environmental parameters do not meet specifications.Our work consists of 3 distinct steps:1. Collecting data from the sensors;2. The transfer of these data to a database;3. Data recovery through the web page [1].
22
Yu, Siwei, Naroa Sadaba, Eva Sanchez‐Rexach, Shayna L. Hilburg, Lilo D. Pozzo, Gokce Altin‐Yavuzarslan, Luis M. Liz‐Marzán, Dorleta Jimenez de Aberasturi, Haritz Sardon e Alshakim Nelson. "4D Printed Protein‐AuNR Nanocomposites with Photothermal Shape Recovery". Advanced Functional Materials, 24 dicembre 2023. http://dx.doi.org/10.1002/adfm.202311209.
Testo completoAbstract (sommario):
Abstract4D printing is the 3D printing of objects that change chemically or physically in response to an external stimulus over time. Photothermally responsive shape memory materials are attractive for their ability to undergo remote activation. While photothermal methods using gold nanorods (AuNRs) are used for shape recovery, 3D patterning of these materials into objects with complex geometries using degradable materials is not addressed. Here, the fabrication of 3D printed shape memory bioplastics with photo‐activated shape recovery is reported. Protein‐based nanocomposites based on bovine serum albumin (BSA), poly (ethylene glycol) diacrylate (PEGDA), and AuNRs are developed for vat photopolymerization. These 3D printed bioplastics are mechanically deformed under high loads, and the proteins served as mechano‐active elements that unfolded in an energy‐dissipating mechanism that prevented fracture of the thermoset. The bioplastic object maintained its metastable shape‐programmed state under ambient conditions. Subsequently, up to 99% shape recovery is achieved within 1 min of irradiation with near‐infrared (NIR) light. Mechanical characterization and small angle X‐ray scattering (SAXS) analysis suggest that the proteins mechanically unfold during the shape programming step and may refold during shape recovery. These composites are promising materials for the fabrication of biodegradable shape‐morphing devices for robotics and medicine.
23
Saed, Mohand O., Alexandra Gablier e Eugene M. Terentjev. "Extrudable Covalently Cross‐Linked Thio‐Urethane Liquid Crystalline Elastomers". Advanced Functional Materials, 3 novembre 2023. http://dx.doi.org/10.1002/adfm.202307202.
Testo completoAbstract (sommario):
AbstractLiquid crystalline elastomer networks cross‐linked by dynamic covalent bonds (xLCEs) possess the remarkable capability of being (re)processed during plastic flow at high temperatures, while also allowing for the (re)programming of their local alignment. However, the current generation of xLCEs cannot be extruded directly into filaments or injection‐molded into shapes capable of actuation. Here, a novel poly(thio‐urethane) (PTU) LCE thermoset is presented. The inclusion of dibutyltin dilaurate as a catalyst enables the manipulation of the elastic–plastic transition through two distinct pathways. The dissociative equilibrium exchange between the thio‐urethane linkage to form separate thiol and isocyanate competes with the associative exchange of thio‐urethane and a free isocyanate or thiol groups. The temperature of fast plastic flow onset is ≈160 ˚C, and the associated bond‐exchange activation energy is ≈54 kJ mol−1. The hydrogen bonding below the elastic‐plastic transition makes the elastomer robust and extremely ductile with a failure strain exceeding 600% and a Shore hardness A of 72, preventing any creep during cyclic thermal actuation. The versatility of this dynamically cross‐linked elastomer is successfully demonstrated by extruding it using a commercial twin‐screw extruder, injection molding it into required shapes, and hot‐pressing it into flat films or shapes.