temperature sensor
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2022 ◽  
Vol 148 ◽  
pp. 107804
Hua Fan ◽  
Zuizhi Lu ◽  
Yingbin Meng ◽  
Peican Chen ◽  
Liya Zhou ◽  

Daniel Patricko Hutabarat ◽  
Rudy Susanto ◽  
Bryan Prasetya ◽  
Barry Linando ◽  
Senanayake Mudiyanselage Namal Senanayake

<span>The purpose of this research is to create a smart system based on internet of things (IoT) application for a plant aquarium. This smart system helps users to maintain the environment's parameters of the plant aquarium. In this study, the parameters to be controlled by the system are light intensity and temperature. The hardware used to develop this system is the ESP32 as the microcontroller, BH1750FVI as the light sensor, high power led (HPL) light-emitting diodes (LED) lamp as the light source, DS18B20 as temperature sensor, the heater, and the 220 VAC fan that is used to raise and lower the temperature. In this study also developed an application that is used by the user to provide input to the system. The developed application is then installed on the user's smartphone and used to connect the user to the system via the internet. The ease of adding and removing devices used on the system is a capability that is also being developed in this smart system. The developed system can produce light intensity with accuracy rate of 96% and always manage to keep the temperature within the predetermined range.</span>

Juncai Song ◽  
Yuan Wei ◽  
Manzhang Xu ◽  
Jiuwei Gao ◽  
Lei Luo ◽  

Mingyuan Ren ◽  
Huijing Yang ◽  
Beining Zhang ◽  
Guoxu Zheng

This paper constructs and simulates the interface circuit of a temperature sensor based on SMIC 0.18 [Formula: see text]m CMOS. The simulation results show that when the power supply voltage is 1.8 V, the chopper op-amp gain is 89.44 dB, the low-frequency noise is 71.83 nV/Hz,[Formula: see text] and the temperature coefficient of the core temperature sensitive circuit is 1.7808 mV/[Formula: see text]C. The sampling rate of 10-bit SAR ADC was 10 kS/s, effective bit was 9.0119, SNR was 59.3256 dB, SFDR was 68.7091 dB, and THD was −62.5859 dB. The measurement range of temperature sensor interface circuit is −50[Formula: see text]C[Formula: see text]C, the relative temperature measurement error is ±0.47[Formula: see text]C, the resolution is 0.2[Formula: see text]C/LSB, and the overall average power consumption is 434.9 [Formula: see text]W.

Energies ◽  
2022 ◽  
Vol 15 (1) ◽  
pp. 367
Michele Tunzi ◽  
Dorte Skaarup Østergaard ◽  
Svend Svendsen

Automated hydronic balancing in space heating systems is crucial for the fourth-generation district heating transition. The current manual balancing requires labor- and time-consuming activities. This article presents the field results of an innovative electronic radiator thermostat tested on two Danish multi-family buildings. The prototypes had an additional return temperature sensor on each radiator and an algorithm was used to accurately control valve opening to ensure automated hydronic balancing. The results highlighted that the new thermostat performed as expected and helped secure the cooling of district heating temperatures —defined as the difference between supply and return temperature—4–12 °C higher during the test compared to results obtained in 2020, when the prototypes were replaced with state-of-the-art thermostats in the first building. The measurements from the other building illustrated how only two uncontrolled radiators out of 175 could contaminate the overall return temperature. The remote connection of the thermostats helped pinpoint the faults in the heating system, although the end-users were not experiencing any discomfort, and secure, after fixing the problems, a return temperature of 35 °C. Future designs may consider integrating a safety functionality to close the valve or limit the flow in case of damage or malfunction to avoid a few radiators compromising the low-temperature operation of an entire building before the cause of the problem has been identified.

2022 ◽  
Vol 502 ◽  
pp. 127417
Qiang Ge ◽  
Jianhui Zhu ◽  
Yanyan Cui ◽  
Gang Zhang ◽  
Xuqiang Wu ◽  

2022 ◽  
Vol 68 ◽  
pp. 102793
Zhan Wang ◽  
DeLi Chen ◽  
XianChao Yang ◽  
SiXiang Liang ◽  
XiaoHong Sun

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